OPeNDAP Data Access Form for NLDAS_NOAH0125_MC.ACLIM06.020.nc
OPeNDAP Logo
Welcome to the new
OPeNDAP Data Access Form
The old form can be found here...

dataset: NLDAS_NOAH0125_MC.ACLIM06.020.nc

Actions
Data URL
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: 2022-07-07T20:25:12
    • 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: 19810601
    • begin_time: 000000
    • end_date: 20200630
    • 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: 213.522171
    • vmax: 366.377716
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: 207.398529
    • vmax: 430.509125
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: 116.363914
    • vmax: 300.653809
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: -152.752563
    • vmax: -34.2035027
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: 0.979638875
    • vmax: 151.514923
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: 4.19525957
    • vmax: 202.302155
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: 0.0276801232
    • vmax: 25.5599842
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: -86.7219925
    • vmax: 0.0236319527
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: 28.2637329
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: 0.0231549982
    • vmax: 253.669403
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: 1.01603198
    • vmax: 157.028107
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: 1.99999995e-05
    • vmax: 456.938324
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: 903.863953
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: 732.048950
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: 269.140350
    • vmax: 308.689178
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: 17.6812477
    • vmax: 64.6646118
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: 905.142212
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: 2.26509452
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: 0.917506993
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: 268.623688
    • vmax: 308.001648
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: 267.143890
    • vmax: 305.299500
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: 265.964539
    • vmax: 302.953430
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: 264.483551
    • vmax: 300.604584
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: 3.84458780
    • vmax: 41.0499344
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: 11.3628740
    • vmax: 124.709854
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: 12.1176834
    • vmax: 247.086426
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: 22.2838573
    • vmax: 460.104919
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: 30.4790039
    • vmax: 408.517303
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: 78.3358231
    • vmax: 835.496399
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: 4.38434744
    • vmax: 835.496277
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: 3.84460878
    • vmax: 36.1749649
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: 11.3628979
    • vmax: 110.096375
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: 12.1177101
    • vmax: 223.639313
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: 22.2839718
    • vmax: 433.411316
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: -15.2154026
    • vmax: 89.7122040
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: 9.09923744
    • vmax: 91.2481384
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: 25.5176067
    • vmax: 648.793762
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: 39.3511429
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: 119.740341
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: 0.380572945
    • vmax: 68.7312469
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: 17.5063896
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: 0.465080917
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: 0.00259305560
    • vmax: 0.0476254523
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: 2.09075033e-08
    • vmax: 0.0146190701
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: 0.282611459
    • vmax: 0.689279079
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: 0.172147661
    • vmax: 0.997957885
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: 0.323425353
    • vmax: 0.988090217
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: 0.794383705
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: 0.00102302176
    • vmax: 0.376514167
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: 0.0600002035
    • 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: 0.989994347
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: 0.000161850796
    • vmax: 42060.6680
debug
Hyrax development sponsored by NSF, NASA, and NOAA

OPeNDAP Hyrax (1.16.3)
Documentation Questions? Contact Support