OPeNDAP Data Access Form for GLDAS_CLSM025_DA1_D.A20171005.022.nc4
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dataset: GLDAS_CLSM025_DA1_D.A20171005.022.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: 2019-10-04T00:37:24.929
    • 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: 20171005
    • 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: 0.839474142
    • vmax: 314.539764
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: -182.661972
    • vmax: 45.5848846
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: -4396.66846
    • vmax: 473.310028
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: -391.245239
    • vmax: 4539.09326
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: -67.3964996
    • vmax: 68.1975708
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: -0.00178255362
    • vmax: 0.000191895408
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: 0.00159133889
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: 0.000106613901
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: 0.000239561836
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: 240.828598
    • vmax: 320.109009
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: 240.828598
    • vmax: 320.109009
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: 2613.46484
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: 5.91713333
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: 0.0146506177
    • vmax: 9.52750206
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: 32.3724136
    • vmax: 477.994965
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: 109.404678
    • vmax: 4046.28857
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: -0.000390973291
    • vmax: 4.01622747e-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: -2.20454403e-05
    • vmax: 0.000123632475
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: -0.00178728520
    • vmax: 0.000145302940
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: 1.21933389
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: -0.000110676388
    • vmax: 7.05844432e-05
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: 0.000390709320
    • vmax: 3.09329534
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: 109.404709
    • vmax: 4046.52808
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: 77.0322952
    • vmax: 3596.28784

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