OPeNDAP Data Access Form for NLDAS_NOAH0125_MC.ACLIM12.020.nc
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dataset: NLDAS_NOAH0125_MC.ACLIM12.020.nc

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Global Attributes
  • NC_GLOBAL
    • missing_value: -9999.00000
    • time_definition: monthly climatology
    • shortname: NLDAS_NOAH0125_MC_2.0
    • title: NLDAS Noah Land Surface Model L4 Monthly Climatology 0.125 x 0.125 degree V2.0
    • version: 2.0
    • institution: NASA GSFC
    • doi: 10.5067/QLW535AYJ498
    • history: created on date: 2022-07-07T20:25:18
    • 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
Variables
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: 19811201
    • begin_time: 000000
    • end_date: 20201231
    • 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: 28.3092899
    • vmax: 182.858398
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: 164.109970
    • vmax: 397.067902
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: 5.44434071
    • vmax: 153.879181
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: -97.9195099
    • vmax: -15.6227894
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: -6.58208704
    • vmax: 50.0534210
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: -21.4192905
    • vmax: 87.2980499
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: -25.7249699
    • vmax: 1.38127375
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: -4.63992643
    • vmax: 9.17864037
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: 331.327515
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: 0.00000000
    • vmax: 633.587830
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: -6.23132420
    • vmax: 53.6036186
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: 0.00000000
    • vmax: 110.747375
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: 0.00000000
    • vmax: 523.735962
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: 268.704224
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: 246.214508
    • vmax: 296.715057
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: 15.7330294
    • vmax: 84.2882767
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: 596.733093
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: 2.44010067
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: 1.00000000
SoilT_0_10cm[ 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 (0-10cm)
    • 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: 258.128784
    • vmax: 296.642761
SoilT_10_40cm[ 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 (10-40cm)
    • 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: 262.063538
    • vmax: 296.291443
SoilT_40_100cm[ 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 (40-100cm)
    • 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: 264.698914
    • vmax: 296.814636
SoilT_100_200cm[ 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 (100-200cm)
    • 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: 266.214172
    • vmax: 298.335327
SoilM_0_10cm[ 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 (0-10cm)
    • 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: 6.32943821
    • vmax: 47.4504280
SoilM_10_40cm[ 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 (10-40cm)
    • 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: 14.3976841
    • vmax: 123.187088
SoilM_40_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 (40-100cm)
    • 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: 12.3738899
    • vmax: 226.097824
SoilM_100_200cm[ 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 (100-200cm)
    • 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: 20.0919476
    • vmax: 461.511383
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: 39.7899132
    • vmax: 376.834961
SoilM_0_200cm[ 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 (0-200cm)
    • 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: 86.2209625
    • vmax: 767.132202
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: 11.4061489
    • vmax: 767.132202
SMLiq_0_10cm[ 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 (0-10cm)
    • 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: 4.66863680
    • vmax: 35.3366318
SMLiq_10_40cm[ 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 (10-40cm)
    • 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: 13.8677092
    • vmax: 108.811745
SMLiq_40_100cm[ 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 (40-100cm)
    • 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: 12.3739834
    • vmax: 223.042847
SMLiq_100_200cm[ 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 (100-200cm)
    • 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: 20.0920486
    • vmax: 432.819733
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: -13.6487427
    • vmax: 94.9211044
SMAvail_0_200cm[ 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 (0-200cm)
    • 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: 10.1269302
    • vmax: 87.5550385
PotEvap[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: Potential evapotranspiration
    • long_name: Potential evapotranspiration
    • 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: -6.58170080
    • vmax: 208.407867
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: 16.7577934
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: 31.0752220
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: 33.6700401
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: 0.00000000
    • vmax: 17.4228477
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: 0.500000000
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: 0.000556887884
    • vmax: 0.0357696228
CCond[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: m s-1
    • standard_name: Canopy conductance
    • long_name: Canopy 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: 0.00000000
    • vmax: 0.00894225668
RCS[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: fraction
    • standard_name: Solar parameter in canopy conductance
    • long_name: Solar parameter in canopy 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: 0.0983074456
    • vmax: 0.465666622
RCT[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: fraction
    • standard_name: Temperature para. in canopy conductance
    • long_name: Temperature parameter in canopy 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: 0.00000000
    • vmax: 0.990769565
RCQ[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: fraction
    • standard_name: Humidity para. in canopy conductance
    • long_name: Humidity parameter in canopy 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: 0.736428857
    • vmax: 0.997696996
RCSOL[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: fraction
    • standard_name: Soil moist. para. in canopy conductance
    • long_name: Soil moisture parameter in canopy 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: 0.00000000
    • vmax: 0.755042970
RSmin[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: s m-1
    • standard_name: Minimal stomatal resistance
    • long_name: Minimal stomatal resistance
    • 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: 35.0000000
    • vmax: 400.000031
RSMacr[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: 0-1
    • standard_name: Relative SM availability control factor
    • long_name: Relative soil moist. availability control factor
    • 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: 0.346787274
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: 0.0600002594
    • vmax: 6.00000048
GVEG[ time= 0 ..0] [ lat= 0 ..223] [ lon= 0 ..463] (Grid of Float32 values)
  • attributes
    • units: fraction
    • standard_name: Green vegetation
    • long_name: Green vegetation
    • 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: 0.739995897
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: 0.00000000
    • vmax: 21892.2910
debug
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OPeNDAP Hyrax (1.16.3)
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