OPeNDAP Data Access Form for GLDAS_CLSM025_DA1_D.A20170123.022.nc4
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dataset: GLDAS_CLSM025_DA1_D.A20170123.022.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: 2019-10-02T05:05:42.590
    • 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: 20170123
    • 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: 345.844086
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: -142.921844
    • vmax: 54.7709274
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: -1449.32703
    • vmax: 437.205841
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: -363.777191
    • vmax: 1444.78967
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: -76.3063812
    • vmax: 49.0161057
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: -0.000584252703
    • vmax: 0.000177257578
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: 0.00100028492
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: 0.000111155918
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: 0.000309649971
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: 217.000031
    • vmax: 314.214294
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: 217.000031
    • vmax: 314.214294
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: 2321.89331
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: 5.31055403
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: 0.00286742742
    • vmax: 9.54084301
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: 32.3807373
    • vmax: 478.008118
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: 109.422150
    • vmax: 3981.50610
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: -0.000450363674
    • vmax: 4.03003796e-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: -7.47027889e-06
    • vmax: 0.000120717901
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: -0.000587605173
    • vmax: 0.000112153939
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: 1.41061044
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: -0.000163886158
    • vmax: 0.000131759720
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: 0.000387600507
    • vmax: 2.91900134
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: 109.422180
    • vmax: 3981.60742
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: 77.0262756
    • vmax: 3549.83594

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