OPeNDAP Data Access Form for GLDAS_NOAH10_M.A196811.020.nc4
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dataset: GLDAS_NOAH10_M.A196811.020.nc4




  • NC_GLOBAL
    • CDI: Climate Data Interface version 1.9.8 (https://mpimet.mpg.de/cdi)
    • Conventions: CF-1.6
    • history: created on date: 2019-09-26T02:37:30.950
    • source: Noah_v3.6 forced with Princeton_V2.2
    • institution: NASA GSFC
    • missing_value: -9999.00000
    • tavg definision:: past 3-hour average
    • acc definision:: past 3-hour accumulation
    • inst definision:: instantaneous
    • title: GLDAS2.0 LIS land surface model output monthly mean
    • 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
    • CDO: Climate Data Operators version 1.9.8 (https://mpimet.mpg.de/cdo)
  • DODS_EXTRA
    • Unlimited_Dimension: time


time[ time= 0 ..0] (Type is Float64)
  • attributes
    • standard_name: time
    • long_name: time
    • bounds: time_bnds
    • units: days since 1948-01-01 00:00:00
    • calendar: standard
    • axis: T
time_bnds[ time= 0 ..0] [ bnds= 0 ..1] (Type is Float64)
no attributes
lon[ lon= 0 ..359] (Type is Float32)
  • attributes
    • standard_name: longitude
    • long_name: longitude
    • units: degrees_east
    • axis: X
lat[ lat= 0 ..149] (Type is Float32)
  • attributes
    • standard_name: latitude
    • long_name: latitude
    • units: degrees_north
    • axis: Y
Swnet_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: surface_net_downward_shortwave_flux
    • long_name: Net short wave radiation flux
    • units: W m-2
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 0.00000000
    • vmax: 326.664948
Lwnet_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: surface_net_downward_longwave_flux
    • long_name: Net long-wave radiation flux
    • units: W m-2
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: -155.258743
    • vmax: 21.5209274
Qle_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: surface_upward_latent_heat_flux
    • long_name: Latent heat net flux
    • units: W m-2
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: -0.862636089
    • vmax: 162.889572
Qh_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: surface_upward_sensible_heat_flux
    • long_name: Sensible heat net flux
    • units: W m-2
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: -76.3615723
    • vmax: 184.412094
Qg_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: downward_heat_flux_in_soil
    • long_name: Heat flux
    • units: W m-2
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: -31.2114086
    • vmax: 8.97392559
Snowf_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: snowfall_flux
    • long_name: Snow precipitation rate
    • units: kg m-2 s-1
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 0.00000000
    • vmax: 7.11029134e-05
Rainf_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: rainfall_flux
    • long_name: Rain precipitation rate
    • units: kg m-2 s-1
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 0.00000000
    • vmax: 0.000271684170
Evap_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: water_evaporation_flux
    • long_name: Evapotranspiration
    • units: kg m-2 s-1
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: -3.44345437e-07
    • vmax: 6.51298178e-05
Qs_acc[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: surface_runoff_amount
    • long_name: Storm surface runoff
    • units: kg m-2
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 0.00000000
    • vmax: 3.43784261
Qsb_acc[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: subsurface_runoff_amount
    • long_name: Baseflow-groundwater runoff
    • units: kg m-2
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 0.00000000
    • vmax: 2.35209560
Qsm_acc[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: surface_snow_melt_amount
    • long_name: Snow melt
    • units: kg m-2
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 0.00000000
    • vmax: 3.43773079
AvgSurfT_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: surface_temperature
    • long_name: Average Surface Skin temperature
    • units: K
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 227.079514
    • vmax: 309.191010
Albedo_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: surface_albedo
    • long_name: Albedo
    • units: %
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 5.23650360
    • vmax: 79.0812531
SWE_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: surface_snow_amount
    • long_name: Snow depth water equivalent
    • units: kg m-2
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 0.00000000
    • vmax: 41234.9219
SnowDepth_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: surface_snow_thickness
    • long_name: Snow depth
    • units: m
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 0.00000000
    • vmax: 141.207245
SoilMoi0_10cm_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: soil_moisture_content
    • long_name: Soil moisture
    • units: kg m-2
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 2.00000000
    • vmax: 100.000000
SoilMoi10_40cm_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: soil_moisture_content
    • long_name: Soil moisture
    • units: kg m-2
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 6.12665844
    • vmax: 299.999878
SoilMoi40_100cm_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: soil_moisture_content
    • long_name: Soil moisture
    • units: kg m-2
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 12.7480412
    • vmax: 600.000000
SoilMoi100_200cm_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: soil_moisture_content
    • long_name: Soil moisture
    • units: kg m-2
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 22.1454048
    • vmax: 1000.00000
SoilTMP0_10cm_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: soil_temperature
    • long_name: Soil temperature
    • units: K
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 239.177475
    • vmax: 309.142975
SoilTMP10_40cm_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: soil_temperature
    • long_name: Soil temperature
    • units: K
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 246.018799
    • vmax: 307.993103
SoilTMP40_100cm_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: soil_temperature
    • long_name: Soil temperature
    • units: K
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 246.387360
    • vmax: 306.746979
SoilTMP100_200cm_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: soil_temperature
    • long_name: Soil temperature
    • units: K
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 246.543304
    • vmax: 306.239716
PotEvap_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: potential_evaporation_flux
    • long_name: Potential evaporation rate
    • units: W m-2
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 1.11725998
    • vmax: 542.185791
ECanop_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: evaporation_flux_from_canopy
    • long_name: Canopy water evaporation
    • units: W m-2
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 0.00000000
    • vmax: 80.9103775
Tveg_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: transpiration_flux_from_veg
    • long_name: Transpiration
    • units: W m-2
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 0.00000000
    • vmax: 124.285126
ESoil_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: evaporation_flux_from_soil
    • long_name: Direct Evaporation from Bare Soil
    • units: W m-2
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 0.00000000
    • vmax: 94.9942474
RootMoist_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: root_zone_soil_moisture
    • long_name: Root zone soil moisture
    • units: kg m-2
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 2.00000000
    • vmax: 877.339172
CanopInt_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: canopy_water_amount
    • long_name: Plant canopy surface water
    • units: kg m-2
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 0.00000000
    • vmax: 0.499779165
Wind_f_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: wind_speed
    • long_name: Wind speed
    • units: m s-1
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 0.567386150
    • vmax: 11.0257196
Rainf_f_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: precipitation_flux
    • long_name: Total precipitation rate
    • units: kg m-2 s-1
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 0.00000000
    • vmax: 0.000271684170
Tair_f_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: air_temperature
    • long_name: Temperature
    • units: K
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 226.421997
    • vmax: 305.387543
Qair_f_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: specific_humidity
    • long_name: Specific humidity
    • units: kg kg-1
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 4.00097088e-05
    • vmax: 0.0240428019
Psurf_f_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: surface_air_pressure
    • long_name: Pressure
    • units: Pa
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 50742.9023
    • vmax: 103985.195
SWdown_f_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: surface_downwelling_shortwave_flux_in_air
    • long_name: Downward short-wave radiation flux
    • units: W m-2
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 0.00000000
    • vmax: 387.868744
LWdown_f_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • standard_name: surface_downwelling_longwave_flux_in_air
    • long_name: Downward long-wave radiation flux
    • units: W m-2
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • cell_methods: time: mean
    • vmin: 141.570633
    • vmax: 433.538757

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