<xarray.Dataset>
Dimensions: (time: 116631, y: 3840, x: 4608, vis_nir: 2, soil_layers_stag: 4)
Coordinates:
* time (time) datetime64[ns] 1979-02-01T03:00:00 ... 2020-12-31T21:00:00
* x (x) float64 -2.303e+06 -2.302e+06 ... 2.303e+06 2.304e+06
* y (y) float64 -1.92e+06 -1.919e+06 ... 1.918e+06 1.919e+06
Dimensions without coordinates: vis_nir, soil_layers_stag
Data variables: (12/21)
ACCET (time, y, x) float64 dask.array<chunksize=(1, 768, 922), meta=np.ndarray>
ACSNOM (time, y, x) float64 dask.array<chunksize=(1, 768, 922), meta=np.ndarray>
ALBEDO (time, y, x) float64 dask.array<chunksize=(1, 768, 922), meta=np.ndarray>
ALBSND (time, y, vis_nir, x) float64 dask.array<chunksize=(1, 960, 1, 1152), meta=np.ndarray>
ALBSNI (time, y, vis_nir, x) float64 dask.array<chunksize=(1, 960, 1, 1152), meta=np.ndarray>
COSZ (time, y, x) float64 dask.array<chunksize=(1, 768, 922), meta=np.ndarray>
... ...
SNOWH (time, y, x) float64 dask.array<chunksize=(1, 768, 922), meta=np.ndarray>
SOIL_M (time, y, soil_layers_stag, x) float64 dask.array<chunksize=(1, 768, 1, 922), meta=np.ndarray>
SOIL_W (time, y, soil_layers_stag, x) float64 dask.array<chunksize=(1, 768, 1, 922), meta=np.ndarray>
TRAD (time, y, x) float64 dask.array<chunksize=(1, 768, 922), meta=np.ndarray>
UGDRNOFF (time, y, x) float64 dask.array<chunksize=(1, 768, 922), meta=np.ndarray>
crs object ...
Attributes:
Conventions: CF-1.6
GDAL_DataType: Generic
TITLE: OUTPUT FROM WRF-Hydro v5.2.0-beta2
code_version: v5.2.0-beta2
model_configuration: retrospective
model_initialization_time: 1979-02-01_00:00:00
model_output_type: land
model_output_valid_time: 1979-02-01_03:00:00
model_total_valid_times: 472
proj4: +proj=lcc +units=m +a=6370000.0 +b=6370000.0 ... Dimensions: time : 116631y : 3840x : 4608vis_nir : 2soil_layers_stag : 4
Coordinates: (3)
time
(time)
datetime64[ns]
1979-02-01T03:00:00 ... 2020-12-...
long_name : valid output time standard_name : time valid_max : 4862880 valid_min : 4778100 array(['1979-02-01T03:00:00.000000000', '1979-02-01T06:00:00.000000000',
'1979-02-01T09:00:00.000000000', ..., '2020-12-31T15:00:00.000000000',
'2020-12-31T18:00:00.000000000', '2020-12-31T21:00:00.000000000'],
dtype='datetime64[ns]') x
(x)
float64
-2.303e+06 -2.302e+06 ... 2.304e+06
_CoordinateAxisType : GeoX long_name : x coordinate of projection resolution : 1000.0 standard_name : projection_x_coordinate units : m array([-2303499.25, -2302499.25, -2301499.25, ..., 2301500.75, 2302500.75,
2303500.75]) y
(y)
float64
-1.92e+06 -1.919e+06 ... 1.919e+06
_CoordinateAxisType : GeoY long_name : y coordinate of projection resolution : 1000.0 standard_name : projection_y_coordinate units : m array([-1919500.375, -1918500.375, -1917500.375, ..., 1917499.625,
1918499.625, 1919499.625]) Data variables: (21)
ACCET
(time, y, x)
float64
dask.array<chunksize=(1, 768, 922), meta=np.ndarray>
esri_pe_string : PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision grid_mapping : crs long_name : Accumulated total ET units : mm valid_range : [-100000, 100000000]
Array
Chunk
Bytes
15.02 TiB
5.40 MiB
Shape
(116631, 3840, 4608)
(1, 768, 922)
Dask graph
2915775 chunks in 2 graph layers
Data type
float64 numpy.ndarray
4608
3840
116631
ACSNOM
(time, y, x)
float64
dask.array<chunksize=(1, 768, 922), meta=np.ndarray>
esri_pe_string : PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision grid_mapping : crs long_name : accumulated melting water out of snow bottom units : mm valid_range : [0, 10000000]
Array
Chunk
Bytes
15.02 TiB
5.40 MiB
Shape
(116631, 3840, 4608)
(1, 768, 922)
Dask graph
2915775 chunks in 2 graph layers
Data type
float64 numpy.ndarray
4608
3840
116631
ALBEDO
(time, y, x)
float64
dask.array<chunksize=(1, 768, 922), meta=np.ndarray>
esri_pe_string : PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision grid_mapping : crs long_name : Surface albedo units : - valid_range : [0, 100]
Array
Chunk
Bytes
15.02 TiB
5.40 MiB
Shape
(116631, 3840, 4608)
(1, 768, 922)
Dask graph
2915775 chunks in 2 graph layers
Data type
float64 numpy.ndarray
4608
3840
116631
ALBSND
(time, y, vis_nir, x)
float64
dask.array<chunksize=(1, 960, 1, 1152), meta=np.ndarray>
esri_pe_string : PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision grid_mapping : crs long_name : snowpack albedo, direct units : - valid_range : [0, 100]
Array
Chunk
Bytes
30.03 TiB
8.44 MiB
Shape
(116631, 3840, 2, 4608)
(1, 960, 1, 1152)
Dask graph
3732192 chunks in 2 graph layers
Data type
float64 numpy.ndarray
116631
1
4608
2
3840
ALBSNI
(time, y, vis_nir, x)
float64
dask.array<chunksize=(1, 960, 1, 1152), meta=np.ndarray>
esri_pe_string : PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision grid_mapping : crs long_name : snowpack albedo, diffuse units : - valid_range : [0, 100]
Array
Chunk
Bytes
30.03 TiB
8.44 MiB
Shape
(116631, 3840, 2, 4608)
(1, 960, 1, 1152)
Dask graph
3732192 chunks in 2 graph layers
Data type
float64 numpy.ndarray
116631
1
4608
2
3840
COSZ
(time, y, x)
float64
dask.array<chunksize=(1, 768, 922), meta=np.ndarray>
esri_pe_string : PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision grid_mapping : crs long_name : Cosine of zenith angle units : - valid_range : [-100, 100]
Array
Chunk
Bytes
15.02 TiB
5.40 MiB
Shape
(116631, 3840, 4608)
(1, 768, 922)
Dask graph
2915775 chunks in 2 graph layers
Data type
float64 numpy.ndarray
4608
3840
116631
EDIR
(time, y, x)
float64
dask.array<chunksize=(1, 768, 922), meta=np.ndarray>
esri_pe_string : PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision grid_mapping : crs long_name : Direct from soil evaporation rate units : kg m-2 s-1 valid_range : [-10000000, 10000000]
Array
Chunk
Bytes
15.02 TiB
5.40 MiB
Shape
(116631, 3840, 4608)
(1, 768, 922)
Dask graph
2915775 chunks in 2 graph layers
Data type
float64 numpy.ndarray
4608
3840
116631
FIRA
(time, y, x)
float64
dask.array<chunksize=(1, 768, 922), meta=np.ndarray>
esri_pe_string : PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision grid_mapping : crs long_name : Total net LW radiation to atmosphere units : W m-2 valid_range : [-15000, 15000]
Array
Chunk
Bytes
15.02 TiB
5.40 MiB
Shape
(116631, 3840, 4608)
(1, 768, 922)
Dask graph
2915775 chunks in 2 graph layers
Data type
float64 numpy.ndarray
4608
3840
116631
FSA
(time, y, x)
float64
dask.array<chunksize=(1, 768, 922), meta=np.ndarray>
esri_pe_string : PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision grid_mapping : crs long_name : Total absorbed SW radiation units : W m-2 valid_range : [-15000, 15000]
Array
Chunk
Bytes
15.02 TiB
5.40 MiB
Shape
(116631, 3840, 4608)
(1, 768, 922)
Dask graph
2915775 chunks in 2 graph layers
Data type
float64 numpy.ndarray
4608
3840
116631
FSNO
(time, y, x)
float64
dask.array<chunksize=(1, 768, 922), meta=np.ndarray>
esri_pe_string : PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision grid_mapping : crs long_name : Snow-cover fraction on the ground units : 1 valid_range : [0, 1000]
Array
Chunk
Bytes
15.02 TiB
5.40 MiB
Shape
(116631, 3840, 4608)
(1, 768, 922)
Dask graph
2915775 chunks in 2 graph layers
Data type
float64 numpy.ndarray
4608
3840
116631
HFX
(time, y, x)
float64
dask.array<chunksize=(1, 768, 922), meta=np.ndarray>
esri_pe_string : PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision grid_mapping : crs long_name : Total sensible heat to the atmosphere units : W m-2 valid_range : [-15000, 15000]
Array
Chunk
Bytes
15.02 TiB
5.40 MiB
Shape
(116631, 3840, 4608)
(1, 768, 922)
Dask graph
2915775 chunks in 2 graph layers
Data type
float64 numpy.ndarray
4608
3840
116631
LH
(time, y, x)
float64
dask.array<chunksize=(1, 768, 922), meta=np.ndarray>
esri_pe_string : PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision grid_mapping : crs long_name : Total latent heat to the atmosphere units : W m-2 valid_range : [-15000, 15000]
Array
Chunk
Bytes
15.02 TiB
5.40 MiB
Shape
(116631, 3840, 4608)
(1, 768, 922)
Dask graph
2915775 chunks in 2 graph layers
Data type
float64 numpy.ndarray
4608
3840
116631
QRAIN
(time, y, x)
float64
dask.array<chunksize=(1, 768, 922), meta=np.ndarray>
esri_pe_string : PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision grid_mapping : crs long_name : Rainfall rate on the ground units : mm s-1 valid_range : [0, 10000000]
Array
Chunk
Bytes
15.02 TiB
5.40 MiB
Shape
(116631, 3840, 4608)
(1, 768, 922)
Dask graph
2915775 chunks in 2 graph layers
Data type
float64 numpy.ndarray
4608
3840
116631
QSNOW
(time, y, x)
float64
dask.array<chunksize=(1, 768, 922), meta=np.ndarray>
esri_pe_string : PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision grid_mapping : crs long_name : Snowfall rate on the ground units : mm s-1 valid_range : [0, 10000000]
Array
Chunk
Bytes
15.02 TiB
5.40 MiB
Shape
(116631, 3840, 4608)
(1, 768, 922)
Dask graph
2915775 chunks in 2 graph layers
Data type
float64 numpy.ndarray
4608
3840
116631
SNEQV
(time, y, x)
float64
dask.array<chunksize=(1, 768, 922), meta=np.ndarray>
esri_pe_string : PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision grid_mapping : crs long_name : Snow water equivalent units : kg m-2 valid_range : [0, 1000000]
Array
Chunk
Bytes
15.02 TiB
5.40 MiB
Shape
(116631, 3840, 4608)
(1, 768, 922)
Dask graph
2915775 chunks in 2 graph layers
Data type
float64 numpy.ndarray
4608
3840
116631
SNOWH
(time, y, x)
float64
dask.array<chunksize=(1, 768, 922), meta=np.ndarray>
esri_pe_string : PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision grid_mapping : crs long_name : Snow depth units : m valid_range : [0, 1000000]
Array
Chunk
Bytes
15.02 TiB
5.40 MiB
Shape
(116631, 3840, 4608)
(1, 768, 922)
Dask graph
2915775 chunks in 2 graph layers
Data type
float64 numpy.ndarray
4608
3840
116631
SOIL_M
(time, y, soil_layers_stag, x)
float64
dask.array<chunksize=(1, 768, 1, 922), meta=np.ndarray>
esri_pe_string : PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision grid_mapping : crs long_name : volumetric soil moisture, the dimensionless ratio of water volume (m3) to soil volume (m3) units : m3 m-3 valid_range : [0, 100]
Array
Chunk
Bytes
60.06 TiB
5.40 MiB
Shape
(116631, 3840, 4, 4608)
(1, 768, 1, 922)
Dask graph
11663100 chunks in 2 graph layers
Data type
float64 numpy.ndarray
116631
1
4608
4
3840
SOIL_W
(time, y, soil_layers_stag, x)
float64
dask.array<chunksize=(1, 768, 1, 922), meta=np.ndarray>
esri_pe_string : PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision grid_mapping : crs long_name : liquid volumetric soil moisture units : m3 m-3 valid_range : [0, 100]
Array
Chunk
Bytes
60.06 TiB
5.40 MiB
Shape
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Dask graph
11663100 chunks in 2 graph layers
Data type
float64 numpy.ndarray
116631
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4608
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TRAD
(time, y, x)
float64
dask.array<chunksize=(1, 768, 922), meta=np.ndarray>
esri_pe_string : PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision grid_mapping : crs long_name : Surface radiative temperature units : K valid_range : [0, 4000]
Array
Chunk
Bytes
15.02 TiB
5.40 MiB
Shape
(116631, 3840, 4608)
(1, 768, 922)
Dask graph
2915775 chunks in 2 graph layers
Data type
float64 numpy.ndarray
4608
3840
116631
UGDRNOFF
(time, y, x)
float64
dask.array<chunksize=(1, 768, 922), meta=np.ndarray>
esri_pe_string : PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision grid_mapping : crs long_name : Accumulated underground runoff units : mm valid_range : [-10000, 10000000]
Array
Chunk
Bytes
15.02 TiB
5.40 MiB
Shape
(116631, 3840, 4608)
(1, 768, 922)
Dask graph
2915775 chunks in 2 graph layers
Data type
float64 numpy.ndarray
4608
3840
116631
crs
()
object
...
GeoTransform : -2303999.17655 1000.0 0 1919999.66329 0 -1000.0 _CoordinateAxes : y x _CoordinateTransformType : Projection earth_radius : 6370000.0 esri_pe_string : PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision false_easting : 0.0 false_northing : 0.0 grid_mapping_name : lambert_conformal_conic inverse_flattening : 0.0 latitude_of_projection_origin : 40.0 long_name : CRS definition longitude_of_central_meridian : -97.0 longitude_of_prime_meridian : 0.0 semi_major_axis : 6370000.0 spatial_ref : PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DATUM["D_Sphere",SPHEROID["Sphere",6370000.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-97.0],PARAMETER["standard_parallel_1",30.0],PARAMETER["standard_parallel_2",60.0],PARAMETER["latitude_of_origin",40.0],UNIT["Meter",1.0]];-35691800 -29075200 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision standard_parallel : [30.0, 60.0] transform_name : lambert_conformal_conic [1 values with dtype=object] Indexes: (3)
PandasIndex
PandasIndex(DatetimeIndex(['1979-02-01 03:00:00', '1979-02-01 06:00:00',
'1979-02-01 09:00:00', '1979-02-01 12:00:00',
'1979-02-01 15:00:00', '1979-02-01 18:00:00',
'1979-02-01 21:00:00', '1979-02-02 00:00:00',
'1979-02-02 03:00:00', '1979-02-02 06:00:00',
...
'2020-12-30 18:00:00', '2020-12-30 21:00:00',
'2020-12-31 00:00:00', '2020-12-31 03:00:00',
'2020-12-31 06:00:00', '2020-12-31 09:00:00',
'2020-12-31 12:00:00', '2020-12-31 15:00:00',
'2020-12-31 18:00:00', '2020-12-31 21:00:00'],
dtype='datetime64[ns]', name='time', length=116631, freq=None)) PandasIndex
PandasIndex(Float64Index([-2303499.25, -2302499.25, -2301499.25, -2300499.25, -2299499.25,
-2298499.25, -2297499.25, -2296499.25, -2295499.25, -2294499.25,
...
2294500.75, 2295500.75, 2296500.75, 2297500.75, 2298500.75,
2299500.75, 2300500.75, 2301500.75, 2302500.75, 2303500.75],
dtype='float64', name='x', length=4608)) PandasIndex
PandasIndex(Float64Index([-1919500.375, -1918500.375, -1917500.375, -1916500.375,
-1915500.375, -1914500.375, -1913500.375, -1912500.375,
-1911500.375, -1910500.375,
...
1910499.625, 1911499.625, 1912499.625, 1913499.625,
1914499.625, 1915499.625, 1916499.625, 1917499.625,
1918499.625, 1919499.625],
dtype='float64', name='y', length=3840)) Attributes: (10)
Conventions : CF-1.6 GDAL_DataType : Generic TITLE : OUTPUT FROM WRF-Hydro v5.2.0-beta2 code_version : v5.2.0-beta2 model_configuration : retrospective model_initialization_time : 1979-02-01_00:00:00 model_output_type : land model_output_valid_time : 1979-02-01_03:00:00 model_total_valid_times : 472 proj4 : +proj=lcc +units=m +a=6370000.0 +b=6370000.0 +lat_1=30.0 +lat_2=60.0 +lat_0=40.0 +lon_0=-97.0 +x_0=0 +y_0=0 +k_0=1.0 +nadgrids=@null +wktext +no_defs