OPeNDAP Data Access Form for GLDAS_VIC10_M.A202110.021.nc4
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dataset: GLDAS_VIC10_M.A202110.021.nc4




  • NC_GLOBAL
    • missing_value: -9999.00000
    • tavg definition:: past 3-hour average
    • acc definition:: past 3-hour accumulation
    • inst definition:: instantaneous
    • title: GLDAS2.1 LIS land surface model output monthly mean
    • institution: NASA GSFC
    • source: VIC_v4.1.2 forced with GDAS-AGRMET-GPCPv13rA1_202110
    • history: created on date: 2022-01-14T14:18:41.830
    • references: Rodell_etal_BAMS_2004, Kumar_etal_EMS_2006, Peters-Lidard_etal_ISSE_2007
    • 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: -59.5000000
    • SOUTH_WEST_CORNER_LON: -179.500000
    • DX: 1.00000000
    • DY: 1.00000000
  • DODS_EXTRA
    • Unlimited_Dimension: time


lat[ lat= 0 ..149] (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: -59.5000000
    • vmax: 89.5000000
lon[ lon= 0 ..359] (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: -179.500000
    • vmax: 179.500000
time[ time= 0 ..0] (Type is Float64)
  • attributes
    • units: days since 2000-01-01 00:00:00
    • long_name: time
    • time_increment: one month
    • begin_date: 20211001
    • 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 ..149] [ lon= 0 ..359] (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: 0.0541288927
    • vmax: 291.487274
Lwnet_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (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: -165.387726
    • vmax: -5.95318556
Qle_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (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: -4.04408693
    • vmax: 134.744629
Qh_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (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: -63.7175331
    • vmax: 190.786697
Qg_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (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: -22.2151108
    • vmax: 8.27788258
Snowf_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: kg m-2 s-1
    • standard_name: snowfall_flux
    • long_name: Snow precipitation rate
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 6.52852832e-05
Rainf_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: kg m-2 s-1
    • standard_name: rainfall_flux
    • long_name: Rain precipitation rate
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 0.000297524821
Evap_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (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: -2.82776773e-06
    • vmax: 5.52948331e-05
Qs_acc[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • 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: 0.879586816
Qsb_acc[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • 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: 1.94627714
Qsm_acc[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • 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: 0.581359982
AvgSurfT_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (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: 234.370697
    • vmax: 310.472656
Albedo_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: 1
    • standard_name: surface_albedo
    • long_name: Albedo
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 10.0403223
    • vmax: 84.9561234
SWE_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (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: 102917.789
SnowDepth_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (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: 112.565170
SoilMoi0_30cm_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: soil_moisture_content
    • long_name: Soil moisture
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 8.44498444
    • vmax: 165.000000
SoilMoi_depth2_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: soil_moisture_content
    • long_name: Soil moisture
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 50.5000000
    • vmax: 1617.05066
SoilMoi_depth3_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: soil_moisture_content
    • long_name: Soil moisture
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 6.00734329
    • vmax: 104.552032
SoilTMP0_30cm_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: K
    • standard_name: soil_temperature
    • long_name: Soil temperature
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 257.577087
    • vmax: 309.701691
SoilTMP_depth2_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: K
    • standard_name: soil_temperature
    • long_name: Soil temperature
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 258.548981
    • vmax: 308.762360
SoilTMP_depth3_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: K
    • standard_name: soil_temperature
    • long_name: Soil temperature
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 258.595947
    • vmax: 307.576050
ECanop_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • 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: -0.0147857480
    • vmax: 83.2338791
TVeg_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • 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: -1.95842816e-07
    • vmax: 92.6382141
ESoil_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • 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: -0.00307871797
    • vmax: 80.0321579
RootMoist_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: root_zone_soil_moisture
    • 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: 121.267761
    • vmax: 1733.82568
CanopInt_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (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: 0.810334563
ACond_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (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: 0.00249912823
    • vmax: 0.222289219
Wind_f_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: m s-1
    • standard_name: wind_speed
    • long_name: Wind speed
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.305479288
    • vmax: 13.1330423
Rainf_f_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: kg m-2 s-1
    • standard_name: precipitation_flux
    • long_name: Total precipitation rate
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 0.000297524821
Tair_f_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: K
    • standard_name: air_temperature
    • long_name: Temperature
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 241.519653
    • vmax: 307.353424
Qair_f_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: kg kg-1
    • standard_name: specific_humidity
    • long_name: Specific humidity
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.000351024704
    • vmax: 0.0201984048
Psurf_f_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: Pa
    • standard_name: surface_air_pressure
    • long_name: Pressure
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 52135.9805
    • vmax: 111851.344
SWdown_f_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: surface_downwelling_shortwave_flux_in_air
    • long_name: Downward short-wave radiation flux
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.360843569
    • vmax: 353.618896
LWdown_f_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: surface_downwelling_longwave_flux_in_air
    • long_name: Downward long-wave radiation flux
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 137.716904
    • vmax: 448.877106

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