MERRA2_daily_2d_lnd_Nx
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/MERRA2_daily_2d_lnd_Nx.yaml")
ds=cat.netcdf.read()Metadata
| title | MERRA2_daily_2d_lnd_Nx |
| location | /reanalysis/land/MERRA-2/DAILY/lnd |
| tags | reanalysis,global,daily |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/MERRA2_daily_2d_lnd_Nx.yaml |
| last updated | 2021-08-09 |
Dataset Contents
<xarray.Dataset>
Dimensions: (lat: 361, lon: 576, time: 14976)
Coordinates:
* time (time) int64 690 2130 3570 5010 ... 39570 41010 42450 43890
* lon (lon) float64 -180.0 -179.4 -178.8 -178.1 ... 178.1 178.8 179.4
* lat (lat) float64 -90.0 -89.5 -89.0 -88.5 ... 88.5 89.0 89.5 90.0
Data variables:
BASEFLOW (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
ECHANGE (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
EVLAND (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
EVPINTR (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
EVPSBLN (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
EVPSOIL (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
EVPTRNS (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
FRSAT (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
FRSNO (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
FRUNST (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
FRWLT (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
GHLAND (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
GRN (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
GWETPROF (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
GWETROOT (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
GWETTOP (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
LAI (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
LHLAND (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
LWLAND (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
PARDFLAND (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
PARDRLAND (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
PRECSNOLAND (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
PRECTOTLAND (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
PRMC (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
QINFIL (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
RUNOFF (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
RZMC (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
SFMC (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
SHLAND (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
SMLAND (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
SNODP (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
SNOMAS (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
SPLAND (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
SPSNOW (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
SPWATR (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
SWLAND (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
TELAND (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
TPSNOW (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
TSAT (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
TSOIL1 (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
TSOIL2 (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
TSOIL3 (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
TSOIL4 (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
TSOIL5 (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
TSOIL6 (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
TSURF (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
TUNST (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
TWLAND (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
TWLT (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
WCHANGE (time, lat, lon) float32 dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
Attributes:
History: Sat May 9 14:21:04 2020: ncap2 -O -s ...
Comment: GMAO filename: d5124_m2_jan79.tavg1_2d...
Filename: MERRA2_100.tavg1_2d_lnd_Nx.19800101.nc4
Conventions: CF-1
Institution: NASA Global Modeling and Assimilation ...
References: http://gmao.gsfc.nasa.gov
Format: NetCDF-4/HDF-5
SpatialCoverage: global
VersionID: 5.12.4
TemporalRange: 1980-01-01 -> 2016-12-31
identifier_product_doi_authority: http://dx.doi.org/
ShortName: M2T1NXLND
GranuleID: MERRA2_100.tavg1_2d_lnd_Nx.19800101.nc4
ProductionDateTime: Original file generated: Sat May 31 17...
LongName: MERRA2 tavg1_2d_lnd_Nx: 2d,1-Hourly,Ti...
Title: MERRA2 tavg1_2d_lnd_Nx: 2d,1-Hourly,Ti...
SouthernmostLatitude: -90.0
NorthernmostLatitude: 90.0
WesternmostLongitude: -180.0
EasternmostLongitude: 179.375
LatitudeResolution: 0.5
LongitudeResolution: 0.625
DataResolution: 0.5 x 0.625
Source: CVS tag: GEOSadas-5_12_4
Contact: http://gmao.gsfc.nasa.gov
identifier_product_doi: 10.5067/RKPHT8KC1Y1T
RangeBeginningDate: 1980-01-01
RangeBeginningTime: 00:00:00.000000
RangeEndingDate: 1980-01-01
RangeEndingTime: 23:59:59.000000
nco_openmp_thread_number: 1
NCO: netCDF Operators version 4.8.0 (Homepa...xarray.Dataset
- lat: 361
- lon: 576
- time: 14976
- time(time)int64690 2130 3570 ... 41010 42450 43890
- begin_time :
- 3000
- long_name :
- time
- time_increment :
- 10000
- valid_range :
- [-1.e+15 1.e+15]
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
array([ 690, 2130, 3570, ..., 41010, 42450, 43890])
- lon(lon)float64-180.0 -179.4 ... 178.8 179.4
- long_name :
- longitude
- units :
- degrees_east
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
array([-180. , -179.375, -178.75 , ..., 178.125, 178.75 , 179.375])
- lat(lat)float64-90.0 -89.5 -89.0 ... 89.5 90.0
- long_name :
- latitude
- units :
- degrees_north
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
array([-90. , -89.5, -89. , ..., 89. , 89.5, 90. ])
- BASEFLOW(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- baseflow_flux
- units :
- kg m-2 s-1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- baseflow_flux
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - ECHANGE(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- rate_of_change_of_total_land_energy
- units :
- W m-2
- fmissing_value :
- 1000000000000000.0
- standard_name :
- rate_of_change_of_total_land_energy
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - EVLAND(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- Evaporation_land
- units :
- kg m-2 s-1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- Evaporation_land
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - EVPINTR(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- interception_loss_energy_flux
- units :
- W m-2
- fmissing_value :
- 1000000000000000.0
- standard_name :
- interception_loss_energy_flux
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - EVPSBLN(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- snow_ice_evaporation_energy_flux
- units :
- W m-2
- fmissing_value :
- 1000000000000000.0
- standard_name :
- snow_ice_evaporation_energy_flux
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - EVPSOIL(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- baresoil_evap_energy_flux
- units :
- W m-2
- fmissing_value :
- 1000000000000000.0
- standard_name :
- baresoil_evap_energy_flux
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - EVPTRNS(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- transpiration_energy_flux
- units :
- W m-2
- fmissing_value :
- 1000000000000000.0
- standard_name :
- transpiration_energy_flux
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - FRSAT(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- fractional_area_of_saturated_zone
- units :
- 1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- fractional_area_of_saturated_zone
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - FRSNO(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- fractional_area_of_land_snowcover
- units :
- 1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- fractional_area_of_land_snowcover
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - FRUNST(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- fractional_area_of_unsaturated_zone
- units :
- 1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- fractional_area_of_unsaturated_zone
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - FRWLT(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- fractional_area_of_wilting_zone
- units :
- 1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- fractional_area_of_wilting_zone
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - GHLAND(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- Ground_heating_land
- units :
- W m-2
- fmissing_value :
- 1000000000000000.0
- standard_name :
- Ground_heating_land
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - GRN(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- greeness_fraction
- units :
- 1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- greeness_fraction
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - GWETPROF(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- ave_prof_soil_moisture
- units :
- 1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- ave_prof_soil_moisture
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - GWETROOT(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- root_zone_soil_wetness
- units :
- 1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- root_zone_soil_wetness
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - GWETTOP(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- surface_soil_wetness
- units :
- 1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- surface_soil_wetness
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - LAI(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- leaf_area_index
- units :
- 1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- leaf_area_index
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - LHLAND(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- Latent_heat_flux_land
- units :
- W m-2
- fmissing_value :
- 1000000000000000.0
- standard_name :
- Latent_heat_flux_land
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - LWLAND(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- Net_longwave_land
- units :
- W m-2
- fmissing_value :
- 1000000000000000.0
- standard_name :
- Net_longwave_land
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - PARDFLAND(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- surface_downwelling_par_diffuse_flux
- units :
- W m-2
- fmissing_value :
- 1000000000000000.0
- standard_name :
- surface_downwelling_par_diffuse_flux
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - PARDRLAND(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- surface_downwelling_par_beam_flux
- units :
- W m-2
- fmissing_value :
- 1000000000000000.0
- standard_name :
- surface_downwelling_par_beam_flux
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - PRECSNOLAND(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- snowfall_land
- units :
- kg m-2 s-1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- snowfall_land
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - PRECTOTLAND(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- Total_precipitation_land
- units :
- kg m-2 s-1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- Total_precipitation_land
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - PRMC(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- water_profile
- units :
- m-3 m-3
- fmissing_value :
- 1000000000000000.0
- standard_name :
- water_profile
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - QINFIL(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- Soil_water_infiltration_rate
- units :
- kg m-2 s-1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- Soil_water_infiltration_rate
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - RUNOFF(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- overland_runoff_including_throughflow
- units :
- kg m-2 s-1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- overland_runoff_including_throughflow
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - RZMC(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- water_root_zone
- units :
- m-3 m-3
- fmissing_value :
- 1000000000000000.0
- standard_name :
- water_root_zone
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - SFMC(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- water_surface_layer
- units :
- m-3 m-3
- fmissing_value :
- 1000000000000000.0
- standard_name :
- water_surface_layer
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - SHLAND(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- Sensible_heat_flux_land
- units :
- W m-2
- fmissing_value :
- 1000000000000000.0
- standard_name :
- Sensible_heat_flux_land
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - SMLAND(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- Snowmelt_flux_land
- units :
- kg m-2 s-1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- Snowmelt_flux_land
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - SNODP(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- snow_depth
- units :
- m
- fmissing_value :
- 1000000000000000.0
- standard_name :
- snow_depth
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - SNOMAS(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- Total_snow_storage_land
- units :
- kg m-2
- fmissing_value :
- 1000000000000000.0
- standard_name :
- Total_snow_storage_land
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - SPLAND(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- rate_of_spurious_land_energy_source
- units :
- W m-2
- fmissing_value :
- 1000000000000000.0
- standard_name :
- rate_of_spurious_land_energy_source
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - SPSNOW(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- rate_of_spurious_snow_energy
- units :
- W m-2
- fmissing_value :
- 1000000000000000.0
- standard_name :
- rate_of_spurious_snow_energy
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - SPWATR(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- rate_of_spurious_land_water_source
- units :
- kg m-2 s-1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- rate_of_spurious_land_water_source
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - SWLAND(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- Net_shortwave_land
- units :
- W m-2
- fmissing_value :
- 1000000000000000.0
- standard_name :
- Net_shortwave_land
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - TELAND(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- Total_energy_storage_land
- units :
- J m-2
- fmissing_value :
- 1000000000000000.0
- standard_name :
- Total_energy_storage_land
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - TPSNOW(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- surface_temperature_of_snow
- units :
- K
- fmissing_value :
- 1000000000000000.0
- standard_name :
- surface_temperature_of_snow
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - TSAT(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- surface_temperature_of_saturated_zone
- units :
- K
- fmissing_value :
- 1000000000000000.0
- standard_name :
- surface_temperature_of_saturated_zone
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - TSOIL1(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- soil_temperatures_layer_1
- units :
- K
- fmissing_value :
- 1000000000000000.0
- standard_name :
- soil_temperatures_layer_1
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - TSOIL2(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- soil_temperatures_layer_2
- units :
- K
- fmissing_value :
- 1000000000000000.0
- standard_name :
- soil_temperatures_layer_2
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - TSOIL3(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- soil_temperatures_layer_3
- units :
- K
- fmissing_value :
- 1000000000000000.0
- standard_name :
- soil_temperatures_layer_3
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - TSOIL4(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- soil_temperatures_layer_4
- units :
- K
- fmissing_value :
- 1000000000000000.0
- standard_name :
- soil_temperatures_layer_4
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - TSOIL5(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- soil_temperatures_layer_5
- units :
- K
- fmissing_value :
- 1000000000000000.0
- standard_name :
- soil_temperatures_layer_5
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - TSOIL6(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- soil_temperatures_layer_6
- units :
- K
- fmissing_value :
- 1000000000000000.0
- standard_name :
- soil_temperatures_layer_6
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - TSURF(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- surface_temperature_of_land_incl_snow
- units :
- K
- fmissing_value :
- 1000000000000000.0
- standard_name :
- surface_temperature_of_land_incl_snow
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - TUNST(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- surface_temperature_of_unsaturated_zone
- units :
- K
- fmissing_value :
- 1000000000000000.0
- standard_name :
- surface_temperature_of_unsaturated_zone
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - TWLAND(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- Avail_water_storage_land
- units :
- kg m-2
- fmissing_value :
- 1000000000000000.0
- standard_name :
- Avail_water_storage_land
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - TWLT(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- surface_temperature_of_wilted_zone
- units :
- K
- fmissing_value :
- 1000000000000000.0
- standard_name :
- surface_temperature_of_wilted_zone
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray - WCHANGE(time, lat, lon)float32dask.array<chunksize=(31, 361, 576), meta=np.ndarray>
- long_name :
- rate_of_change_of_total_land_water
- units :
- kg m-2 s-1
- fmissing_value :
- 1000000000000000.0
- standard_name :
- rate_of_change_of_total_land_water
- vmax :
- 1000000000000000.0
- vmin :
- -1000000000000000.0
- valid_range :
- [-1.e+15 1.e+15]
Array Chunk Bytes 12.46 GB 25.78 MB Shape (14976, 361, 576) (31, 361, 576) Count 1476 Tasks 492 Chunks Type float32 numpy.ndarray
- History :
- Sat May 9 14:21:04 2020: ncap2 -O -s time=array(690,1440,$time) bfile.nc4 MERRA2_daily_2d_lnd_Nx.198001.nc4 Thu Dec 21 15:45:03 2017: ncecat -O -u time -L 1 MERRA2_daily_2d_lnd_Nx.19800101.nc4 MERRA2_daily_2d_lnd_Nx.19800102.nc4 MERRA2_daily_2d_lnd_Nx.19800103.nc4 MERRA2_daily_2d_lnd_Nx.19800104.nc4 MERRA2_daily_2d_lnd_Nx.19800105.nc4 MERRA2_daily_2d_lnd_Nx.19800106.nc4 MERRA2_daily_2d_lnd_Nx.19800107.nc4 MERRA2_daily_2d_lnd_Nx.19800108.nc4 MERRA2_daily_2d_lnd_Nx.19800109.nc4 MERRA2_daily_2d_lnd_Nx.19800110.nc4 MERRA2_daily_2d_lnd_Nx.19800111.nc4 MERRA2_daily_2d_lnd_Nx.19800112.nc4 MERRA2_daily_2d_lnd_Nx.19800113.nc4 MERRA2_daily_2d_lnd_Nx.19800114.nc4 MERRA2_daily_2d_lnd_Nx.19800115.nc4 MERRA2_daily_2d_lnd_Nx.19800116.nc4 MERRA2_daily_2d_lnd_Nx.19800117.nc4 MERRA2_daily_2d_lnd_Nx.19800118.nc4 MERRA2_daily_2d_lnd_Nx.19800119.nc4 MERRA2_daily_2d_lnd_Nx.19800120.nc4 MERRA2_daily_2d_lnd_Nx.19800121.nc4 MERRA2_daily_2d_lnd_Nx.19800122.nc4 MERRA2_daily_2d_lnd_Nx.19800123.nc4 MERRA2_daily_2d_lnd_Nx.19800124.nc4 MERRA2_daily_2d_lnd_Nx.19800125.nc4 MERRA2_daily_2d_lnd_Nx.19800126.nc4 MERRA2_daily_2d_lnd_Nx.19800127.nc4 MERRA2_daily_2d_lnd_Nx.19800128.nc4 MERRA2_daily_2d_lnd_Nx.19800129.nc4 MERRA2_daily_2d_lnd_Nx.19800130.nc4 MERRA2_daily_2d_lnd_Nx.19800131.nc4 MERRA2_daily_2d_lnd_Nx.198001.nc4 Mon Jul 4 01:17:06 2016: ncwa -a time /project/land/merra-2/MERRA2_100.tavg1_2d_lnd_Nx.19800101.nc4 DAILY/MERRA2_daily_2d_lnd_Nx.19800101.nc4 Original file generated: Sat May 31 17:46:14 2014 GMT
- Comment :
- GMAO filename: d5124_m2_jan79.tavg1_2d_lnd_Nx.19800101.nc4
- Filename :
- MERRA2_100.tavg1_2d_lnd_Nx.19800101.nc4
- Conventions :
- CF-1
- Institution :
- NASA Global Modeling and Assimilation Office
- References :
- http://gmao.gsfc.nasa.gov
- Format :
- NetCDF-4/HDF-5
- SpatialCoverage :
- global
- VersionID :
- 5.12.4
- TemporalRange :
- 1980-01-01 -> 2016-12-31
- identifier_product_doi_authority :
- http://dx.doi.org/
- ShortName :
- M2T1NXLND
- GranuleID :
- MERRA2_100.tavg1_2d_lnd_Nx.19800101.nc4
- ProductionDateTime :
- Original file generated: Sat May 31 17:46:14 2014 GMT
- LongName :
- MERRA2 tavg1_2d_lnd_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Land Surface Diagnostics
- Title :
- MERRA2 tavg1_2d_lnd_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Land Surface Diagnostics
- SouthernmostLatitude :
- -90.0
- NorthernmostLatitude :
- 90.0
- WesternmostLongitude :
- -180.0
- EasternmostLongitude :
- 179.375
- LatitudeResolution :
- 0.5
- LongitudeResolution :
- 0.625
- DataResolution :
- 0.5 x 0.625
- Source :
- CVS tag: GEOSadas-5_12_4
- Contact :
- http://gmao.gsfc.nasa.gov
- identifier_product_doi :
- 10.5067/RKPHT8KC1Y1T
- RangeBeginningDate :
- 1980-01-01
- RangeBeginningTime :
- 00:00:00.000000
- RangeEndingDate :
- 1980-01-01
- RangeEndingTime :
- 23:59:59.000000
- nco_openmp_thread_number :
- 1
- NCO :
- netCDF Operators version 4.8.0 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco)