Introduction of GFS history data

def print_dict(d, indent=0):
    for key, value in d.items():
        if isinstance(value, dict):
            print(' ' * indent + f"\033[1;32m{key}:\033[0m") #\033[1;32m{k}:\033[0m
            print_dict(value, indent + 4)
        else:
            print(' ' * indent + f"\033[1;32m{key}:\033[0m {value if value is not None else 'null'}")

import intake
import pandas as pd
import xarray as xr
import warnings
warnings.filterwarnings('ignore')


# open metadata description file
cat = intake.open_catalog('intake-yaml/his_gfs.yaml')

cat.date = '2021032312'

print(print_dict(cat.metadata))

# check group in the file
print(f'There are groups: {list(cat)}')
#print('each detail are below:\n')
# metadata for a group
#for g in list(cat):
#    print(f'=====Information for group {g}=====')
#    print(cat[g])

# read a group into dask
#cat['forecast'](date='2021032312').to_dask() #cat.forecast

description: GFS history data over China range. Downloaded from NCEP. Starts from 2021-3-23. Access by {endpoint}/{batch_folders}. Due to their different time length, variables are devided into three groups(anl, f000 and forecast). In these groups variables are different.
version: 1
stored:
    tag: GFS_HIS
    endpoint: us3://nwp/gfs/history
    batch_folders: gfs.{YYYYMMDD}{00/12}.zarr
    catalog: NWP|GFS|HISTORY
    var_dims: var(time, latitude, longitude)
    grid_type: regular_ll
    latitude: 0,60
    longitude: 70,140
    lat_inc: 0.25
    lon_inc: 0.25
    time_list: time[anl, range(1,121), range(123,385,3)]
    format: zarr
    batch: [0, 12]
    arrive_time: not set
    produced_by: NCEP
    up: not set
    down: not set
    filename_rule: gfs.{YYYYMMDD}{00/12}.zarr
    office_web: not set
    index_all: 210 files per batch
    history_time: since 2021-3-23
    history_dize: under calculation
    history_path: us3://nwp/gfs/history
    history_format: zarr
    references: null
    variables: check below
    driver: zarr
    process: null
    log: null
    source: download from NCEP
    storage_policy: zip zarr on us3
origin:
    url: s3://noaa-gfs-bdp-pds/gfs.{YYYYMMDD}/{batch}/atmos/gfs.t00z.pgrb2.0p25.[anl|f{forecast_hour}]
    download_method: awscli cp --no-sign-request
    filename_rule: same name in each day's directory. forecast_hour range(0,121,1), range(123,385,3)
    format: grib2
    batch: 00/06/12/18 daily
    variables: check below
    space_inc: 0.25
    official_introduction: null
parameters:
    endpoint:
        type: str
        description: The base directory for the data. Usually it's the first farther directory of daily sub-directory.
        default: /data/sample_data/
    date:
        type: str
        description: The date to read data, a str with format 'YYYYMMDDbb', bb is the batch 00 or 12, default is '2021032300'
        default: 2021032312
reference: null
None
There are groups: ['anl', 'f000', 'forecast']

import ipywidgets as widgets        # 控件库
from IPython.display import display # 显示控件的方法
import xarray

base = cat.user_parameters['endpoint'].default
batch = cat.user_parameters['date'].default
ds = xr.open_dataset(f"{base}gfs.{batch}.zarr.zip", group='forecast', engine='zarr', consolidated=True)
#print(ds)
print('information for group forecast')
cat['forecast'](date='2021032312').to_dask()

print("以下为group forecast的查询，请输入变量后回车查询，或从列表中选择变量查询")
output = widgets.Output()
text = widgets.Text()
def print_value(sender):
    with output:
        #cat['forecast'](date='2021032312').to_dask()[sender.value] #cat.forecast
        if sender.value in ds.data_vars.keys():
            print(ds[sender.value])
        else:
            print(f"no such variable")
text.on_submit(print_value)

def chosen(_):
    with output:
        print(ds[dpd.value])

variable_names = ds.data_vars.keys()
dpd = widgets.Dropdown(
    options=variable_names,
    disabled=False,
)
dpd.observe(chosen, names="value")

out = widgets.Output(layout={'border': '1px solid black'})
clear_button = widgets.Button(description='Clear Output')
clear_button.on_click(lambda x:output.clear_output())
display(clear_button)
display(text, dpd)
display(output)

information for group forecast
以下为group forecast的查询，请输入变量后回车查询，或从列表中选择变量查询

print('sample of time series')
print(ds['DPT_2maboveground']['time'].values)

sample of time series
['2021-03-23T13:00:00.000000000' '2021-03-23T14:00:00.000000000'
 '2021-03-23T15:00:00.000000000' '2021-03-23T16:00:00.000000000'
 '2021-03-23T17:00:00.000000000' '2021-03-23T18:00:00.000000000'
 '2021-03-23T19:00:00.000000000' '2021-03-23T20:00:00.000000000'
 '2021-03-23T21:00:00.000000000' '2021-03-23T22:00:00.000000000'
 '2021-03-23T23:00:00.000000000' '2021-03-24T00:00:00.000000000'
 '2021-03-24T01:00:00.000000000' '2021-03-24T02:00:00.000000000'
 '2021-03-24T03:00:00.000000000' '2021-03-24T04:00:00.000000000'
 '2021-03-24T05:00:00.000000000' '2021-03-24T06:00:00.000000000'
 '2021-03-24T07:00:00.000000000' '2021-03-24T08:00:00.000000000'
 '2021-03-24T09:00:00.000000000' '2021-03-24T10:00:00.000000000'
 '2021-03-24T11:00:00.000000000' '2021-03-24T12:00:00.000000000'
 '2021-03-24T13:00:00.000000000' '2021-03-24T14:00:00.000000000'
 '2021-03-24T15:00:00.000000000' '2021-03-24T16:00:00.000000000'
 '2021-03-24T17:00:00.000000000' '2021-03-24T18:00:00.000000000'
 '2021-03-24T19:00:00.000000000' '2021-03-24T20:00:00.000000000'
 '2021-03-24T21:00:00.000000000' '2021-03-24T22:00:00.000000000'
 '2021-03-24T23:00:00.000000000' '2021-03-25T00:00:00.000000000'
 '2021-03-25T01:00:00.000000000' '2021-03-25T02:00:00.000000000'
 '2021-03-25T03:00:00.000000000' '2021-03-25T04:00:00.000000000'
 '2021-03-25T05:00:00.000000000' '2021-03-25T06:00:00.000000000'
 '2021-03-25T07:00:00.000000000' '2021-03-25T08:00:00.000000000'
 '2021-03-25T09:00:00.000000000' '2021-03-25T10:00:00.000000000'
 '2021-03-25T11:00:00.000000000' '2021-03-25T12:00:00.000000000'
 '2021-03-25T13:00:00.000000000' '2021-03-25T14:00:00.000000000'
 '2021-03-25T15:00:00.000000000' '2021-03-25T16:00:00.000000000'
 '2021-03-25T17:00:00.000000000' '2021-03-25T18:00:00.000000000'
 '2021-03-25T19:00:00.000000000' '2021-03-25T20:00:00.000000000'
 '2021-03-25T21:00:00.000000000' '2021-03-25T22:00:00.000000000'
 '2021-03-25T23:00:00.000000000' '2021-03-26T00:00:00.000000000'
 '2021-03-26T01:00:00.000000000' '2021-03-26T02:00:00.000000000'
 '2021-03-26T03:00:00.000000000' '2021-03-26T04:00:00.000000000'
 '2021-03-26T05:00:00.000000000' '2021-03-26T06:00:00.000000000'
 '2021-03-26T07:00:00.000000000' '2021-03-26T08:00:00.000000000'
 '2021-03-26T09:00:00.000000000' '2021-03-26T10:00:00.000000000'
 '2021-03-26T11:00:00.000000000' '2021-03-26T12:00:00.000000000'
 '2021-03-26T13:00:00.000000000' '2021-03-26T14:00:00.000000000'
 '2021-03-26T15:00:00.000000000' '2021-03-26T16:00:00.000000000'
 '2021-03-26T17:00:00.000000000' '2021-03-26T18:00:00.000000000'
 '2021-03-26T19:00:00.000000000' '2021-03-26T20:00:00.000000000'
 '2021-03-26T21:00:00.000000000' '2021-03-26T22:00:00.000000000'
 '2021-03-26T23:00:00.000000000' '2021-03-27T00:00:00.000000000'
 '2021-03-27T01:00:00.000000000' '2021-03-27T02:00:00.000000000'
 '2021-03-27T03:00:00.000000000' '2021-03-27T04:00:00.000000000'
 '2021-03-27T05:00:00.000000000' '2021-03-27T06:00:00.000000000'
 '2021-03-27T07:00:00.000000000' '2021-03-27T08:00:00.000000000'
 '2021-03-27T09:00:00.000000000' '2021-03-27T10:00:00.000000000'
 '2021-03-27T11:00:00.000000000' '2021-03-27T12:00:00.000000000'
 '2021-03-27T13:00:00.000000000' '2021-03-27T14:00:00.000000000'
 '2021-03-27T15:00:00.000000000' '2021-03-27T16:00:00.000000000'
 '2021-03-27T17:00:00.000000000' '2021-03-27T18:00:00.000000000'
 '2021-03-27T19:00:00.000000000' '2021-03-27T20:00:00.000000000'
 '2021-03-27T21:00:00.000000000' '2021-03-27T22:00:00.000000000'
 '2021-03-27T23:00:00.000000000' '2021-03-28T00:00:00.000000000'
 '2021-03-28T01:00:00.000000000' '2021-03-28T02:00:00.000000000'
 '2021-03-28T03:00:00.000000000' '2021-03-28T04:00:00.000000000'
 '2021-03-28T05:00:00.000000000' '2021-03-28T06:00:00.000000000'
 '2021-03-28T07:00:00.000000000' '2021-03-28T08:00:00.000000000'
 '2021-03-28T09:00:00.000000000' '2021-03-28T10:00:00.000000000'
 '2021-03-28T11:00:00.000000000' '2021-03-28T12:00:00.000000000'
 '2021-03-28T15:00:00.000000000' '2021-03-28T18:00:00.000000000'
 '2021-03-28T21:00:00.000000000' '2021-03-29T00:00:00.000000000'
 '2021-03-29T03:00:00.000000000' '2021-03-29T06:00:00.000000000'
 '2021-03-29T09:00:00.000000000' '2021-03-29T12:00:00.000000000'
 '2021-03-29T15:00:00.000000000' '2021-03-29T18:00:00.000000000'
 '2021-03-29T21:00:00.000000000' '2021-03-30T00:00:00.000000000'
 '2021-03-30T03:00:00.000000000' '2021-03-30T06:00:00.000000000'
 '2021-03-30T09:00:00.000000000' '2021-03-30T12:00:00.000000000'
 '2021-03-30T15:00:00.000000000' '2021-03-30T18:00:00.000000000'
 '2021-03-30T21:00:00.000000000' '2021-03-31T00:00:00.000000000'
 '2021-03-31T03:00:00.000000000' '2021-03-31T06:00:00.000000000'
 '2021-03-31T09:00:00.000000000' '2021-03-31T12:00:00.000000000'
 '2021-03-31T15:00:00.000000000' '2021-03-31T18:00:00.000000000'
 '2021-03-31T21:00:00.000000000' '2021-04-01T00:00:00.000000000'
 '2021-04-01T03:00:00.000000000' '2021-04-01T06:00:00.000000000'
 '2021-04-01T09:00:00.000000000' '2021-04-01T12:00:00.000000000'
 '2021-04-01T15:00:00.000000000' '2021-04-01T18:00:00.000000000'
 '2021-04-01T21:00:00.000000000' '2021-04-02T00:00:00.000000000'
 '2021-04-02T03:00:00.000000000' '2021-04-02T06:00:00.000000000'
 '2021-04-02T09:00:00.000000000' '2021-04-02T12:00:00.000000000'
 '2021-04-02T15:00:00.000000000' '2021-04-02T18:00:00.000000000'
 '2021-04-02T21:00:00.000000000' '2021-04-03T00:00:00.000000000'
 '2021-04-03T03:00:00.000000000' '2021-04-03T06:00:00.000000000'
 '2021-04-03T09:00:00.000000000' '2021-04-03T12:00:00.000000000'
 '2021-04-03T15:00:00.000000000' '2021-04-03T18:00:00.000000000'
 '2021-04-03T21:00:00.000000000' '2021-04-04T00:00:00.000000000'
 '2021-04-04T03:00:00.000000000' '2021-04-04T06:00:00.000000000'
 '2021-04-04T09:00:00.000000000' '2021-04-04T12:00:00.000000000'
 '2021-04-04T15:00:00.000000000' '2021-04-04T18:00:00.000000000'
 '2021-04-04T21:00:00.000000000' '2021-04-05T00:00:00.000000000'
 '2021-04-05T03:00:00.000000000' '2021-04-05T06:00:00.000000000'
 '2021-04-05T09:00:00.000000000' '2021-04-05T12:00:00.000000000'
 '2021-04-05T15:00:00.000000000' '2021-04-05T18:00:00.000000000'
 '2021-04-05T21:00:00.000000000' '2021-04-06T00:00:00.000000000'
 '2021-04-06T03:00:00.000000000' '2021-04-06T06:00:00.000000000'
 '2021-04-06T09:00:00.000000000' '2021-04-06T12:00:00.000000000'
 '2021-04-06T15:00:00.000000000' '2021-04-06T18:00:00.000000000'
 '2021-04-06T21:00:00.000000000' '2021-04-07T00:00:00.000000000'
 '2021-04-07T03:00:00.000000000' '2021-04-07T06:00:00.000000000'
 '2021-04-07T09:00:00.000000000' '2021-04-07T12:00:00.000000000'
 '2021-04-07T15:00:00.000000000' '2021-04-07T18:00:00.000000000'
 '2021-04-07T21:00:00.000000000' '2021-04-08T00:00:00.000000000'
 '2021-04-08T03:00:00.000000000' '2021-04-08T06:00:00.000000000'
 '2021-04-08T09:00:00.000000000' '2021-04-08T12:00:00.000000000']

lat, lon = 38, 100
var = 'APCP_surface'
print(f'times series plot for {var}')
ds[var].sel(latitude=lat, longitude=lon).sortby('time').plot()

times series plot for APCP_surface

[<matplotlib.lines.Line2D at 0x70811651adb0>]

var = 'TMP_2maboveground'
time = '2021-04-02T12:00:00.000000000'
print(f'2D map for {var} at {time}')
ds[var].sortby('time').sel(time=time).plot.contourf()

2D map for TMP_2maboveground at 2021-04-02T12:00:00.000000000

<matplotlib.contour.QuadContourSet at 0x70811c505d90>

def print_dict(d, indent=0):
    for key, value in d.items():
        if isinstance(value, dict):
            print(' ' * indent + f"\033[1;32m{key}:\033[0m") #\033[1;32m{k}:\033[0m
            print_dict(value, indent + 4)
        else:
            print(' ' * indent + f"\033[1;32m{key}:\033[0m {value if value is not None else 'null'}")

print('information for group anl')
cat['anl'](date='2021032312').to_dask()

information for group anl

<xarray.Dataset> Size: 35MB
Dimensions:               (time: 1, latitude: 241, longitude: 281)
Coordinates:
  * latitude              (latitude) float64 2kB 0.0 0.25 0.5 ... 59.75 60.0
  * longitude             (longitude) float64 2kB 70.0 70.25 ... 139.8 140.0
  * time                  (time) datetime64[ns] 8B 2021-03-23T12:00:00
Data variables: (12/128)
    HGT_1000mb            (time, latitude, longitude) float32 271kB dask.array<chunksize=(1, 121, 281), meta=np.ndarray>
    HGT_100mb             (time, latitude, longitude) float32 271kB dask.array<chunksize=(1, 121, 281), meta=np.ndarray>
    HGT_150mb             (time, latitude, longitude) float32 271kB dask.array<chunksize=(1, 121, 281), meta=np.ndarray>
    HGT_200mb             (time, latitude, longitude) float32 271kB dask.array<chunksize=(1, 121, 281), meta=np.ndarray>
    HGT_250mb             (time, latitude, longitude) float32 271kB dask.array<chunksize=(1, 121, 281), meta=np.ndarray>
    HGT_300mb             (time, latitude, longitude) float32 271kB dask.array<chunksize=(1, 121, 281), meta=np.ndarray>
    ...                    ...
    VGRD_750mb            (time, latitude, longitude) float32 271kB dask.array<chunksize=(1, 121, 281), meta=np.ndarray>
    VGRD_800mb            (time, latitude, longitude) float32 271kB dask.array<chunksize=(1, 121, 281), meta=np.ndarray>
    VGRD_80maboveground   (time, latitude, longitude) float32 271kB dask.array<chunksize=(1, 121, 281), meta=np.ndarray>
    VGRD_850mb            (time, latitude, longitude) float32 271kB dask.array<chunksize=(1, 121, 281), meta=np.ndarray>
    VGRD_900mb            (time, latitude, longitude) float32 271kB dask.array<chunksize=(1, 121, 281), meta=np.ndarray>
    VGRD_950mb            (time, latitude, longitude) float32 271kB dask.array<chunksize=(1, 121, 281), meta=np.ndarray>
Attributes:
    Conventions:          COARDS
    GRIB2_grid_template:  0
    History:              created by wgrib2

xarray.Dataset

• Dimensions:
  • time: 1
  • latitude: 241
  • longitude: 281
• Coordinates: (3)
  • latitude
    (latitude)
    float64
    0.0 0.25 0.5 ... 59.5 59.75 60.0

    long_name :

    latitude

    units :

    degrees_north

    array([ 0.  ,  0.25,  0.5 , ..., 59.5 , 59.75, 60.  ])

  • longitude
    (longitude)
    float64
    70.0 70.25 70.5 ... 139.8 140.0

    long_name :

    longitude

    units :

    degrees_east

    array([ 70.  ,  70.25,  70.5 , ..., 139.5 , 139.75, 140.  ])

  • time
    (time)
    datetime64[ns]
    2021-03-23T12:00:00

    long_name :

    verification time generated by wgrib2 function verftime()

    reference_date :

    2021.03.23 12:00:00 UTC

    reference_time :

    1616500800.0

    reference_time_description :

    analyses, reference date is fixed

    reference_time_type :

    1

    time_step :

    0.0

    time_step_setting :

    auto

    array(['2021-03-23T12:00:00.000000000'], dtype='datetime64[ns]')

• Data variables: (128)
  • HGT_1000mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    1000 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_1000mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_100mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    100 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_100mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_150mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    150 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_150mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_200mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    200 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_200mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_250mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    250 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_250mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_300mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    300 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_300mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_350mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    350 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_350mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_400mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    400 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_400mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_450mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    450 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_450mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_500mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    500 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_500mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_550mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    550 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_550mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_600mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    600 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_600mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_650mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    650 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_650mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_700mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    700 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_700mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_750mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    750 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_750mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_800mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    800 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_800mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_850mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    850 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_850mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_900mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    900 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_900mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_950mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    950 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_950mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • PRES_surface
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    surface

    long_name :

    Pressure

    short_name :

    PRES_surface

    units :

    Pa

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • PRMSL_meansealevel
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    mean sea level

    long_name :

    Pressure Reduced to MSL

    short_name :

    PRMSL_meansealevel

    units :

    Pa

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_1000mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    1000 mb

    long_name :

    Relative Humidity

    short_name :

    RH_1000mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_100mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    100 mb

    long_name :

    Relative Humidity

    short_name :

    RH_100mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_150mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    150 mb

    long_name :

    Relative Humidity

    short_name :

    RH_150mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_200mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    200 mb

    long_name :

    Relative Humidity

    short_name :

    RH_200mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_250mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    250 mb

    long_name :

    Relative Humidity

    short_name :

    RH_250mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_300mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    300 mb

    long_name :

    Relative Humidity

    short_name :

    RH_300mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_350mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    350 mb

    long_name :

    Relative Humidity

    short_name :

    RH_350mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_400mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    400 mb

    long_name :

    Relative Humidity

    short_name :

    RH_400mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_450mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    450 mb

    long_name :

    Relative Humidity

    short_name :

    RH_450mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_500mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    500 mb

    long_name :

    Relative Humidity

    short_name :

    RH_500mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_550mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    550 mb

    long_name :

    Relative Humidity

    short_name :

    RH_550mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_600mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    600 mb

    long_name :

    Relative Humidity

    short_name :

    RH_600mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_650mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    650 mb

    long_name :

    Relative Humidity

    short_name :

    RH_650mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_700mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    700 mb

    long_name :

    Relative Humidity

    short_name :

    RH_700mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_750mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    750 mb

    long_name :

    Relative Humidity

    short_name :

    RH_750mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_800mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    800 mb

    long_name :

    Relative Humidity

    short_name :

    RH_800mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_850mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    850 mb

    long_name :

    Relative Humidity

    short_name :

    RH_850mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_900mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    900 mb

    long_name :

    Relative Humidity

    short_name :

    RH_900mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_950mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    950 mb

    long_name :

    Relative Humidity

    short_name :

    RH_950mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_1000mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    1000 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_1000mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_100mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    100 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_100mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_150mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    150 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_150mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_200mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    200 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_200mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_250mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    250 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_250mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_300mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    300 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_300mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_350mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    350 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_350mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_400mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    400 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_400mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_450mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    450 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_450mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_500mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    500 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_500mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_550mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    550 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_550mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_600mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    600 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_600mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_650mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    650 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_650mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_700mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    700 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_700mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_750mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    750 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_750mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_800mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    800 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_800mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_850mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    850 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_850mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_900mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    900 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_900mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_950mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    950 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_950mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_1000mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    1000 mb

    long_name :

    Temperature

    short_name :

    TMP_1000mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_100mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    100 mb

    long_name :

    Temperature

    short_name :

    TMP_100mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_150mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    150 mb

    long_name :

    Temperature

    short_name :

    TMP_150mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_200mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    200 mb

    long_name :

    Temperature

    short_name :

    TMP_200mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_250mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    250 mb

    long_name :

    Temperature

    short_name :

    TMP_250mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_300mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    300 mb

    long_name :

    Temperature

    short_name :

    TMP_300mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_350mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    350 mb

    long_name :

    Temperature

    short_name :

    TMP_350mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_400mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    400 mb

    long_name :

    Temperature

    short_name :

    TMP_400mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_450mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    450 mb

    long_name :

    Temperature

    short_name :

    TMP_450mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_500mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    500 mb

    long_name :

    Temperature

    short_name :

    TMP_500mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_550mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    550 mb

    long_name :

    Temperature

    short_name :

    TMP_550mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_600mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    600 mb

    long_name :

    Temperature

    short_name :

    TMP_600mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_650mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    650 mb

    long_name :

    Temperature

    short_name :

    TMP_650mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_700mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    700 mb

    long_name :

    Temperature

    short_name :

    TMP_700mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_750mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    750 mb

    long_name :

    Temperature

    short_name :

    TMP_750mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_800mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    800 mb

    long_name :

    Temperature

    short_name :

    TMP_800mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_850mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    850 mb

    long_name :

    Temperature

    short_name :

    TMP_850mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_900mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    900 mb

    long_name :

    Temperature

    short_name :

    TMP_900mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_950mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    950 mb

    long_name :

    Temperature

    short_name :

    TMP_950mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_1000mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    1000 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_1000mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_100maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    100 m above ground

    long_name :

    U-Component of Wind

    short_name :

    UGRD_100maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_100mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    100 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_100mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_150mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    150 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_150mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_200mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    200 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_200mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_20maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    20 m above ground

    long_name :

    U-Component of Wind

    short_name :

    UGRD_20maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_250mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    250 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_250mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_300mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    300 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_300mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_30maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    30 m above ground

    long_name :

    U-Component of Wind

    short_name :

    UGRD_30maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_350mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    350 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_350mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_400mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    400 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_400mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_40maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    40 m above ground

    long_name :

    U-Component of Wind

    short_name :

    UGRD_40maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_450mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    450 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_450mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_500mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    500 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_500mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_50maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    50 m above ground

    long_name :

    U-Component of Wind

    short_name :

    UGRD_50maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_550mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    550 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_550mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_600mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    600 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_600mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_650mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    650 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_650mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_700mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    700 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_700mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_750mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    750 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_750mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_800mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    800 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_800mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_80maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    80 m above ground

    long_name :

    U-Component of Wind

    short_name :

    UGRD_80maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_850mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    850 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_850mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_900mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    900 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_900mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_950mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    950 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_950mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_1000mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    1000 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_1000mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_100maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    100 m above ground

    long_name :

    V-Component of Wind

    short_name :

    VGRD_100maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_100mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    100 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_100mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_150mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    150 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_150mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_200mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    200 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_200mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_20maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    20 m above ground

    long_name :

    V-Component of Wind

    short_name :

    VGRD_20maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_250mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    250 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_250mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_300mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    300 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_300mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_30maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    30 m above ground

    long_name :

    V-Component of Wind

    short_name :

    VGRD_30maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_350mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    350 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_350mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_400mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    400 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_400mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_40maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    40 m above ground

    long_name :

    V-Component of Wind

    short_name :

    VGRD_40maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_450mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    450 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_450mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_500mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    500 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_500mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_50maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    50 m above ground

    long_name :

    V-Component of Wind

    short_name :

    VGRD_50maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_550mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    550 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_550mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_600mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    600 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_600mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_650mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    650 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_650mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_700mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    700 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_700mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_750mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    750 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_750mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_800mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    800 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_800mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_80maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    80 m above ground

    long_name :

    V-Component of Wind

    short_name :

    VGRD_80maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_850mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    850 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_850mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_900mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    900 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_900mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_950mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    950 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_950mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

• Indexes: (3)
  • latitude
    PandasIndex

    PandasIndex(Index([  0.0,  0.25,   0.5,  0.75,   1.0,  1.25,   1.5,  1.75,   2.0,  2.25,
           ...
           57.75,  58.0, 58.25,  58.5, 58.75,  59.0, 59.25,  59.5, 59.75,  60.0],
          dtype='float64', name='latitude', length=241))

  • longitude
    PandasIndex

    PandasIndex(Index([  70.0,  70.25,   70.5,  70.75,   71.0,  71.25,   71.5,  71.75,   72.0,
            72.25,
           ...
           137.75,  138.0, 138.25,  138.5, 138.75,  139.0, 139.25,  139.5, 139.75,
            140.0],
          dtype='float64', name='longitude', length=281))

  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['2021-03-23 12:00:00'], dtype='datetime64[ns]', name='time', freq=None))

• Attributes: (3)

  Conventions :

  COARDS

  GRIB2_grid_template :

  0

  History :

  created by wgrib2

print('information for group f000')
cat['f000'](date='2021032312').to_dask()

information for group f000

<xarray.Dataset> Size: 37MB
Dimensions:                (time: 1, latitude: 241, longitude: 281)
Coordinates:
  * latitude               (latitude) float64 2kB 0.0 0.25 0.5 ... 59.75 60.0
  * longitude              (longitude) float64 2kB 70.0 70.25 ... 139.8 140.0
  * time                   (time) datetime64[ns] 8B 2021-03-23T12:00:00
Data variables: (12/138)
    APTMP_2maboveground    (time, latitude, longitude) float32 271kB dask.array<chunksize=(1, 121, 281), meta=np.ndarray>
    CRAIN_surface          (time, latitude, longitude) float32 271kB dask.array<chunksize=(1, 121, 281), meta=np.ndarray>
    DPT_2maboveground      (time, latitude, longitude) float32 271kB dask.array<chunksize=(1, 121, 281), meta=np.ndarray>
    FRICV_surface          (time, latitude, longitude) float32 271kB dask.array<chunksize=(1, 121, 281), meta=np.ndarray>
    GUST_surface           (time, latitude, longitude) float32 271kB dask.array<chunksize=(1, 121, 281), meta=np.ndarray>
    HGT_1000mb             (time, latitude, longitude) float32 271kB dask.array<chunksize=(1, 121, 281), meta=np.ndarray>
    ...                     ...
    VGRD_750mb             (time, latitude, longitude) float32 271kB dask.array<chunksize=(1, 121, 281), meta=np.ndarray>
    VGRD_800mb             (time, latitude, longitude) float32 271kB dask.array<chunksize=(1, 121, 281), meta=np.ndarray>
    VGRD_80maboveground    (time, latitude, longitude) float32 271kB dask.array<chunksize=(1, 121, 281), meta=np.ndarray>
    VGRD_850mb             (time, latitude, longitude) float32 271kB dask.array<chunksize=(1, 121, 281), meta=np.ndarray>
    VGRD_900mb             (time, latitude, longitude) float32 271kB dask.array<chunksize=(1, 121, 281), meta=np.ndarray>
    VGRD_950mb             (time, latitude, longitude) float32 271kB dask.array<chunksize=(1, 121, 281), meta=np.ndarray>
Attributes:
    Conventions:          COARDS
    GRIB2_grid_template:  0
    History:              created by wgrib2

xarray.Dataset

• Dimensions:
  • time: 1
  • latitude: 241
  • longitude: 281
• Coordinates: (3)
  • latitude
    (latitude)
    float64
    0.0 0.25 0.5 ... 59.5 59.75 60.0

    long_name :

    latitude

    units :

    degrees_north

    array([ 0.  ,  0.25,  0.5 , ..., 59.5 , 59.75, 60.  ])

  • longitude
    (longitude)
    float64
    70.0 70.25 70.5 ... 139.8 140.0

    long_name :

    longitude

    units :

    degrees_east

    array([ 70.  ,  70.25,  70.5 , ..., 139.5 , 139.75, 140.  ])

  • time
    (time)
    datetime64[ns]
    2021-03-23T12:00:00

    long_name :

    verification time generated by wgrib2 function verftime()

    reference_date :

    2021.03.23 12:00:00 UTC

    reference_time :

    1616500800.0

    reference_time_description :

    analyses, reference date is fixed

    reference_time_type :

    1

    time_step :

    0.0

    time_step_setting :

    auto

    array(['2021-03-23T12:00:00.000000000'], dtype='datetime64[ns]')

• Data variables: (138)
  • APTMP_2maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    2 m above ground

    long_name :

    Apparent Temperature

    short_name :

    APTMP_2maboveground

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • CRAIN_surface
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    surface

    long_name :

    Categorical Rain

    short_name :

    CRAIN_surface

    units :

    -

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • DPT_2maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    2 m above ground

    long_name :

    Dew Point Temperature

    short_name :

    DPT_2maboveground

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • FRICV_surface
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    surface

    long_name :

    Frictional Velocity

    short_name :

    FRICV_surface

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • GUST_surface
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    surface

    long_name :

    Wind Speed (Gust)

    short_name :

    GUST_surface

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_1000mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    1000 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_1000mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_100mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    100 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_100mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_150mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    150 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_150mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_200mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    200 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_200mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_250mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    250 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_250mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_300mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    300 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_300mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_350mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    350 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_350mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_400mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    400 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_400mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_450mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    450 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_450mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_500mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    500 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_500mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_550mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    550 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_550mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_600mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    600 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_600mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_650mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    650 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_650mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_700mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    700 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_700mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_750mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    750 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_750mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_800mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    800 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_800mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_850mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    850 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_850mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_900mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    900 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_900mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • HGT_950mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    950 mb

    long_name :

    Geopotential Height

    short_name :

    HGT_950mb

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • PRES_surface
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    surface

    long_name :

    Pressure

    short_name :

    PRES_surface

    units :

    Pa

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • PRMSL_meansealevel
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    mean sea level

    long_name :

    Pressure Reduced to MSL

    short_name :

    PRMSL_meansealevel

    units :

    Pa

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_1000mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    1000 mb

    long_name :

    Relative Humidity

    short_name :

    RH_1000mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_100mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    100 mb

    long_name :

    Relative Humidity

    short_name :

    RH_100mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_150mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    150 mb

    long_name :

    Relative Humidity

    short_name :

    RH_150mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_200mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    200 mb

    long_name :

    Relative Humidity

    short_name :

    RH_200mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_250mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    250 mb

    long_name :

    Relative Humidity

    short_name :

    RH_250mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_300mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    300 mb

    long_name :

    Relative Humidity

    short_name :

    RH_300mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_350mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    350 mb

    long_name :

    Relative Humidity

    short_name :

    RH_350mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_400mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    400 mb

    long_name :

    Relative Humidity

    short_name :

    RH_400mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_450mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    450 mb

    long_name :

    Relative Humidity

    short_name :

    RH_450mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_500mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    500 mb

    long_name :

    Relative Humidity

    short_name :

    RH_500mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_550mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    550 mb

    long_name :

    Relative Humidity

    short_name :

    RH_550mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_600mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    600 mb

    long_name :

    Relative Humidity

    short_name :

    RH_600mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_650mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    650 mb

    long_name :

    Relative Humidity

    short_name :

    RH_650mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_700mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    700 mb

    long_name :

    Relative Humidity

    short_name :

    RH_700mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_750mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    750 mb

    long_name :

    Relative Humidity

    short_name :

    RH_750mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_800mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    800 mb

    long_name :

    Relative Humidity

    short_name :

    RH_800mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_850mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    850 mb

    long_name :

    Relative Humidity

    short_name :

    RH_850mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_900mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    900 mb

    long_name :

    Relative Humidity

    short_name :

    RH_900mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • RH_950mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    950 mb

    long_name :

    Relative Humidity

    short_name :

    RH_950mb

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SNOD_surface
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    surface

    long_name :

    Snow Depth

    short_name :

    SNOD_surface

    units :

    m

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_1000mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    1000 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_1000mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_100mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    100 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_100mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_150mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    150 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_150mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_200mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    200 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_200mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_250mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    250 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_250mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_300mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    300 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_300mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_350mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    350 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_350mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_400mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    400 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_400mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_450mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    450 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_450mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_500mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    500 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_500mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_550mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    550 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_550mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_600mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    600 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_600mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_650mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    650 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_650mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_700mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    700 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_700mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_750mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    750 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_750mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_800mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    800 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_800mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_850mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    850 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_850mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_900mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    900 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_900mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • SPFH_950mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    950 mb

    long_name :

    Specific Humidity

    short_name :

    SPFH_950mb

    units :

    kg/kg

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TCDC_entireatmosphere
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    entire atmosphere

    long_name :

    Total Cloud Cover

    short_name :

    TCDC_entireatmosphere

    units :

    percent

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_1000mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    1000 mb

    long_name :

    Temperature

    short_name :

    TMP_1000mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_100mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    100 mb

    long_name :

    Temperature

    short_name :

    TMP_100mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_150mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    150 mb

    long_name :

    Temperature

    short_name :

    TMP_150mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_200mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    200 mb

    long_name :

    Temperature

    short_name :

    TMP_200mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_250mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    250 mb

    long_name :

    Temperature

    short_name :

    TMP_250mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_2maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    2 m above ground

    long_name :

    Temperature

    short_name :

    TMP_2maboveground

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_300mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    300 mb

    long_name :

    Temperature

    short_name :

    TMP_300mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_350mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    350 mb

    long_name :

    Temperature

    short_name :

    TMP_350mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_400mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    400 mb

    long_name :

    Temperature

    short_name :

    TMP_400mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_450mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    450 mb

    long_name :

    Temperature

    short_name :

    TMP_450mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_500mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    500 mb

    long_name :

    Temperature

    short_name :

    TMP_500mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_550mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    550 mb

    long_name :

    Temperature

    short_name :

    TMP_550mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_600mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    600 mb

    long_name :

    Temperature

    short_name :

    TMP_600mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_650mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    650 mb

    long_name :

    Temperature

    short_name :

    TMP_650mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_700mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    700 mb

    long_name :

    Temperature

    short_name :

    TMP_700mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_750mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    750 mb

    long_name :

    Temperature

    short_name :

    TMP_750mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_800mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    800 mb

    long_name :

    Temperature

    short_name :

    TMP_800mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_850mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    850 mb

    long_name :

    Temperature

    short_name :

    TMP_850mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_900mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    900 mb

    long_name :

    Temperature

    short_name :

    TMP_900mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • TMP_950mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    950 mb

    long_name :

    Temperature

    short_name :

    TMP_950mb

    units :

    K

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_1000mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    1000 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_1000mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_100maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    100 m above ground

    long_name :

    U-Component of Wind

    short_name :

    UGRD_100maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_100mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    100 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_100mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_10maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    10 m above ground

    long_name :

    U-Component of Wind

    short_name :

    UGRD_10maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_150mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    150 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_150mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_200mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    200 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_200mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_20maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    20 m above ground

    long_name :

    U-Component of Wind

    short_name :

    UGRD_20maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_250mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    250 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_250mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_300mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    300 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_300mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_30maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    30 m above ground

    long_name :

    U-Component of Wind

    short_name :

    UGRD_30maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_350mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    350 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_350mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_400mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    400 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_400mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_40maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    40 m above ground

    long_name :

    U-Component of Wind

    short_name :

    UGRD_40maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_450mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    450 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_450mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_500mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    500 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_500mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_50maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    50 m above ground

    long_name :

    U-Component of Wind

    short_name :

    UGRD_50maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_550mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    550 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_550mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_600mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    600 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_600mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_650mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    650 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_650mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_700mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    700 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_700mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_750mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    750 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_750mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_800mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    800 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_800mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_80maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    80 m above ground

    long_name :

    U-Component of Wind

    short_name :

    UGRD_80maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_850mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    850 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_850mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_900mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    900 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_900mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • UGRD_950mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    950 mb

    long_name :

    U-Component of Wind

    short_name :

    UGRD_950mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_1000mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    1000 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_1000mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_100maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    100 m above ground

    long_name :

    V-Component of Wind

    short_name :

    VGRD_100maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_100mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    100 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_100mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_10maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    10 m above ground

    long_name :

    V-Component of Wind

    short_name :

    VGRD_10maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_150mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    150 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_150mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_200mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    200 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_200mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_20maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    20 m above ground

    long_name :

    V-Component of Wind

    short_name :

    VGRD_20maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_250mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    250 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_250mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_300mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    300 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_300mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_30maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    30 m above ground

    long_name :

    V-Component of Wind

    short_name :

    VGRD_30maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_350mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    350 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_350mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_400mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    400 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_400mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_40maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    40 m above ground

    long_name :

    V-Component of Wind

    short_name :

    VGRD_40maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_450mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    450 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_450mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_500mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    500 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_500mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_50maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    50 m above ground

    long_name :

    V-Component of Wind

    short_name :

    VGRD_50maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_550mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    550 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_550mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_600mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    600 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_600mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_650mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    650 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_650mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_700mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    700 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_700mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_750mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    750 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_750mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_800mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    800 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_800mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_80maboveground
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    80 m above ground

    long_name :

    V-Component of Wind

    short_name :

    VGRD_80maboveground

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_850mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    850 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_850mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_900mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    900 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_900mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

  • VGRD_950mb
    (time, latitude, longitude)
    float32
    dask.array<chunksize=(1, 121, 281), meta=np.ndarray>

    level :

    950 mb

    long_name :

    V-Component of Wind

    short_name :

    VGRD_950mb

    units :

    m/s

    Array Chunk Bytes 264.54 kiB 132.82 kiB Shape (1, 241, 281) (1, 121, 281) Dask graph 2 chunks in 2 graph layers Data type float32 numpy.ndarray

• Indexes: (3)
  • latitude
    PandasIndex

    PandasIndex(Index([  0.0,  0.25,   0.5,  0.75,   1.0,  1.25,   1.5,  1.75,   2.0,  2.25,
           ...
           57.75,  58.0, 58.25,  58.5, 58.75,  59.0, 59.25,  59.5, 59.75,  60.0],
          dtype='float64', name='latitude', length=241))

  • longitude
    PandasIndex

    PandasIndex(Index([  70.0,  70.25,   70.5,  70.75,   71.0,  71.25,   71.5,  71.75,   72.0,
            72.25,
           ...
           137.75,  138.0, 138.25,  138.5, 138.75,  139.0, 139.25,  139.5, 139.75,
            140.0],
          dtype='float64', name='longitude', length=281))

  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['2021-03-23 12:00:00'], dtype='datetime64[ns]', name='time', freq=None))

• Attributes: (3)

  Conventions :

  COARDS

  GRIB2_grid_template :

  0

  History :

  created by wgrib2

def print_dict(d, indent=0):
    for key, value in d.items():
        if isinstance(value, dict):
            print(' ' * indent + f"\033[1;32m{key}:\033[0m") #\033[1;32m{k}:\033[0m
            print_dict(value, indent + 4)
        else:
            print(' ' * indent + f"\033[1;32m{key}:\033[0m {value if value is not None else 'null'}")