OPeNDAP Data Access Form for NLDAS_VIC0125_MC.ACLIM09.020.nc
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dataset: NLDAS_VIC0125_MC.ACLIM09.020.nc




  • NC_GLOBAL
    • missing_value: -9999.00000
    • time_definition: monthly climatology
    • shortname: NLDAS_VIC0125_MC_2.0
    • title: NLDAS VIC Land Surface Model L4 Monthly Climatology 0.125 x 0.125 degree V2.0
    • version: 2.0
    • institution: NASA GSFC
    • doi: 10.5067/VSF4LKP6AC4H
    • history: created on date: 2022-07-07T20:35:04
    • reference: Xia_etal_JGR_2012; doi:10.1029/2011JD016048
    • conventions: CF-1.6
    • standard: ALMA v3 ; https://www.lmd.jussieu.fr/~polcher/ALMA/
    • websites: https://ldas.gsfc.nasa.gov/nldas/ ; https://lis.gsfc.nasa.gov/
    • MAP_PROJECTION: EQUIDISTANT CYLINDRICAL
    • SOUTH_WEST_CORNER_LAT: 25.0625000
    • SOUTH_WEST_CORNER_LON: -124.937500
    • DX: 0.125000000
    • DY: 0.125000000


lon[ lon= 0 ..463] (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: -124.937500
    • vmax: -67.0625000
lat[ lat= 0 ..223] (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: 25.0625000
    • vmax: 52.9375000
time[ time= 0 ..0] (Type is Float64)
  • attributes
    • units: hours since 1979-01-01 00:00:00
    • long_name: time
    • time_increment: one month
    • begin_date: 19810901
    • begin_time: 000000
    • end_date: 20200930
    • end_time: 235959
    • climatology: climatology_bnds
climatology_bnds[ time= 0 ..0] [ bnds= 0 ..1] (Type is Float64)
no attributes
SWdown[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: Surface incident shortwave radiation
    • long_name: Shortwave radiation flux downwards (surface)
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 123.362061
    • vmax: 298.397217
LWdown[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: Surface incident longwave radiation
    • long_name: Longwave radiation flux downwards (surface)
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 207.514252
    • vmax: 442.099182
SWnet[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: Surface net shortwave radiation
    • long_name: Net shortwave radiation flux (surface)
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 62.5838814
    • vmax: 240.098602
LWnet[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: Surface net longwave radiation
    • long_name: Net longwave radiation flux (surface)
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -137.483536
    • vmax: -31.4137325
Qle[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: Latent heat flux
    • long_name: Latent heat flux
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 1.05537486
    • vmax: 109.778793
Qh[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: Sensible heat flux
    • long_name: Sensible heat flux
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -16.8059368
    • vmax: 158.731201
Qg[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: Ground heat flux
    • long_name: Ground heat flux
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -9.43782425
    • vmax: 2.99215698
Qf[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: Energy of fusion
    • long_name: Snow phase-change heat flux
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -2.75633788
    • vmax: 10.3903008
Snowf[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: Snowfall rate
    • long_name: Frozen precipitation (snowfall)
    • cell_methods: time: sum within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 44.3194351
Rainf[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: Rainfall rate
    • long_name: Liquid precipitation (rainfall)
    • cell_methods: time: sum within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 1.94425011
    • vmax: 230.464523
Evap[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: Total evapotranspiration
    • long_name: Total evapotranspiration
    • cell_methods: time: sum within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 1.12206757
    • vmax: 116.992409
Qs[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: Surface runoff
    • long_name: Surface runoff (non-infiltrating)
    • cell_methods: time: sum within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.0310249981
    • vmax: 83.3302612
Qsb[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: Subsurface runoff
    • long_name: Subsurface runoff (baseflow)
    • cell_methods: time: sum within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -98.5108185
    • vmax: 101.130791
Qsm[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: Snowmelt
    • long_name: Snowmelt
    • cell_methods: time: sum within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 111.279861
SnowT[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: K
    • standard_name: Snow temperature
    • long_name: Snow temperature
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 272.980988
    • vmax: 273.000000
AvgSurfT[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: K
    • standard_name: Average surface temperature
    • long_name: Average surface skin temperature
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 274.892273
    • vmax: 307.745819
RadT[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: K
    • standard_name: Surface radiative temperature
    • long_name: Surface radiative temperature
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 270.512756
    • vmax: 307.745911
Albedo[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: %
    • standard_name: Surface albedo
    • long_name: Surface albedo
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 12.0000000
    • vmax: 60.5628853
SWE[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: Snow Water Equivalent
    • long_name: Snow Water Equivalent
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 17347.1836
SnowDepth[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: m
    • standard_name: Snow depth
    • long_name: Snow depth
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 201.885651
SnowFrac[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: fraction
    • standard_name: Snow covered fraction
    • long_name: Snow cover
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 0.682263494
SAlbedo_max[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: %
    • standard_name: Maximum snow albedo
    • long_name: Maximum snow albedo
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 55.7482529
SoilT_layer1[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: K
    • standard_name: Average layer soil temperature
    • long_name: Soil temperature VIC layer 1
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 275.130859
    • vmax: 307.922913
SoilT_layer2[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: K
    • standard_name: Average layer soil temperature
    • long_name: Soil temperature VIC layer 2
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 276.372253
    • vmax: 307.984772
SoilT_layer3[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: K
    • standard_name: Average layer soil temperature
    • long_name: Soil temperature VIC layer 3
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 277.001801
    • vmax: 307.315002
SoilM_layer1[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: Average layer soil moisture
    • long_name: Soil moisture content VIC layer 1
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 4.31049490
    • vmax: 130.549515
SoilM_layer2[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: Average layer soil moisture
    • long_name: Soil moisture content VIC layer 2
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 15.9066715
    • vmax: 729.216187
SoilM_layer3[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: Average layer soil moisture
    • long_name: Soil moisture content VIC layer 3
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 4.72865725
    • vmax: 921.594055
SoilM_0_100cm[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: Average layer soil moisture
    • long_name: Soil moisture content (0-100cm)
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 53.7946587
    • vmax: 417.429535
SoilM_total[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: Average layer soil moisture
    • long_name: Soil moisture content VIC total column depth
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 74.9945755
    • vmax: 1060.02612
RootMoist[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (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 within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 1052.04810
SMLiq_layer1[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: Average layer non-frozen soil moisture
    • long_name: Liquid soil moisture content VIC layer 1
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 4.31052971
    • vmax: 130.549591
SMLiq_layer2[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: Average layer non-frozen soil moisture
    • long_name: Liquid soil moisture content VIC layer 2
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 15.9042482
    • vmax: 729.211243
SMLiq_layer3[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: Average layer non-frozen soil moisture
    • long_name: Liquid soil moisture content VIC layer 3
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 4.72612810
    • vmax: 921.589172
SMAvail_0_100cm[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: %
    • standard_name: Soil moisture availability
    • long_name: Soil moisture availability (0-100cm)
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 93.7410660
SMAvail_total[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: %
    • standard_name: Soil moisture availability
    • long_name: Soil moisture availability VIC total column depth
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 12.3453979
    • vmax: 94.0131683
ECanop[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: Interception evaporation
    • long_name: Canopy water evaporation
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 24.9657936
TVeg[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: Vegetation transpiration
    • long_name: Transpiration
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 97.3899612
ESoil[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: Bare soil evaporation
    • long_name: Direct evaporation from bare soil
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 59.1616440
SubSnow[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: Snow sublimation
    • long_name: Sublimation (evaporation from snow)
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -4.20828581
    • vmax: 8.50597095
CanopInt[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: Total canopy water storage
    • long_name: Plant canopy surface water
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 0.270128459
ACond[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: m s-1
    • standard_name: Aerodynamic conductance
    • long_name: Aerodynamic conductance
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00703983149
    • vmax: 0.185648859
LAI[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: unitless
    • standard_name: Leaf Area Index
    • long_name: Leaf Area Index
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 5.96295071
Streamflow[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: m^3 sec-1
    • standard_name: Streamflow
    • long_name: Streamflow
    • cell_methods: time: mean within months time: mean over years
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00255373865
    • vmax: 19091.5859

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