OPeNDAP Data Access Form for GLDAS_CLSM025_DA1_D.A20170130.022.nc4
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dataset: GLDAS_CLSM025_DA1_D.A20170130.022.nc4




  • NC_GLOBAL
    • missing_value: -9999.00000
    • tavg definision:: 24-hour average
    • title: GLDAS2.2 LIS land surface model output
    • institution: NASA GSFC HSL
    • source: CLSM_F2.5/CSR_GRACE_GRACE-FO_RL06_Mascons_all-corrections_2002-04_2019-08.nc/ECMWF
    • references: Li_etal_WRR_2019, Li_etal_SciRep_2019, Li_etal_GRL_2017, Rodell_etal_BAMS_2004, Kumar_etal_EMS_2006, Peters-Lidard_etal_ISSE_2007
    • history: created on date: 2019-10-02T05:25:08.226
    • conventions: CF-1.6
    • comment: website: https://ldas.gsfc.nasa.gov/gldas, https://lis.gsfc.nasa.gov/
    • MAP_PROJECTION: EQUIDISTANT CYLINDRICAL
    • SOUTH_WEST_CORNER_LAT: -59.8750000
    • SOUTH_WEST_CORNER_LON: -179.875000
    • DX: 0.250000000
    • DY: 0.250000000
  • DODS_EXTRA
    • Unlimited_Dimension: time


lat[ lat= 0 ..599] (Type is Float32)
  • attributes
    • units: degrees_north
    • standard_name: latitude
    • long_name: latitude
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -59.8750000
    • vmax: 89.8750000
lon[ lon= 0 ..1439] (Type is Float32)
  • attributes
    • units: degrees_east
    • standard_name: longitude
    • long_name: longitude
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -179.875000
    • vmax: 179.875000
time[ time= 0 ..0] (Type is Float64)
  • attributes
    • units: days since 2003-02-01 00:00:00
    • long_name: time
    • time_increment: 1
    • begin_date: 20170130
    • begin_time: 000000
    • bounds: time_bnds
time_bnds[ time= 0 ..0] [ bnds= 0 ..1] (Type is Float64)
no attributes
Swnet_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: surface_net_downward_shortwave_flux
    • long_name: Net short wave radiation flux
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 345.208527
Lwnet_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: surface_net_downward_longwave_flux
    • long_name: Net long-wave radiation flux
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -158.629807
    • vmax: 38.8802605
Qle_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: surface_upward_latent_heat_flux
    • long_name: Latent heat net flux
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -1449.35242
    • vmax: 554.005432
Qh_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: surface_upward_sensible_heat_flux
    • long_name: Sensible heat net flux
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -427.768250
    • vmax: 1426.40942
Qg_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: downward_heat_flux_in_soil
    • long_name: Heat flux
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -102.005249
    • vmax: 61.7443657
Evap_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values)
  • attributes
    • units: kg m-2 s-1
    • standard_name: water_evaporation_flux
    • long_name: Evapotranspiration
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -0.000587311632
    • vmax: 0.000224611955
Qs_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values)
  • attributes
    • units: kg m-2 s-1
    • standard_name: surface_runoff_amount
    • long_name: Storm surface runoff
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 0.00167456898
Qsb_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values)
  • attributes
    • units: kg m-2 s-1
    • standard_name: subsurface_runoff_amount
    • long_name: Baseflow-groundwater runoff
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 9.09254086e-05
Qsm_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values)
  • attributes
    • units: kg m-2 s-1
    • standard_name: surface_snow_melt_amount
    • long_name: Snow melt
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 0.000658045581
SnowT_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values)
  • attributes
    • units: K
    • standard_name: temperature_in_surface_snow
    • long_name: Snow Surface temperature
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 213.400772
    • vmax: 319.163818
AvgSurfT_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values)
  • attributes
    • units: K
    • standard_name: surface_temperature
    • long_name: Average Surface Skin temperature
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 213.400772
    • vmax: 319.163818
SWE_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: surface_snow_amount
    • long_name: Snow depth water equivalent
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 2342.99780
SnowDepth_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values)
  • attributes
    • units: m
    • standard_name: surface_snow_thickness
    • long_name: Snow depth
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 5.56017923
SoilMoist_S_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: soil_moisture_content
    • long_name: Surface Soil moisture
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00306383264
    • vmax: 9.53785896
SoilMoist_RZ_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: soil_moisture_content
    • long_name: Root Zone Soil moisture
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 32.3850288
    • vmax: 477.985962
SoilMoist_P_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: soil_moisture_content
    • long_name: Profile Soil moisture
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 109.439796
    • vmax: 4007.35278
ECanop_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values)
  • attributes
    • units: kg m-2 s-1
    • standard_name: evaporation_flux_from_canopy
    • long_name: Canopy water evaporation
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -0.000161971286
    • vmax: 3.98746233e-05
TVeg_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values)
  • attributes
    • units: kg m-2 s-1
    • standard_name: transpiration_flux_from_veg
    • long_name: Transpiration
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -1.25207998e-05
    • vmax: 9.29580056e-05
ESoil_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values)
  • attributes
    • units: kg m-2 s-1
    • standard_name: evaporation_flux_from_soil
    • long_name: Direct Evaporation from Bare Soil
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -0.000587615534
    • vmax: 0.000183388358
CanopInt_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: canopy_water_amount
    • long_name: Plant canopy surface water
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 1.34014297
EvapSnow_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values)
  • attributes
    • units: kg m-2 s-1
    • standard_name: snow_evaporation
    • long_name: Snow Evaporation
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -7.01374593e-05
    • vmax: 0.000138435833
ACond_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values)
  • attributes
    • units: m s-1
    • standard_name: aerodynamic_conductance
    • long_name: Aerodynamic conductance
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.000390085013
    • vmax: 2.95352292
TWS_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values)
  • attributes
    • units: mm
    • standard_name: terrestrial_water_storage
    • long_name: Terrestrial water storage
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 109.439804
    • vmax: 4007.40015
GWS_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values)
  • attributes
    • units: mm
    • standard_name: Ground Water Storage
    • long_name: ground_water_storage
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 77.0369415
    • vmax: 3566.53931

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