OPeNDAP Data Access Form for GLDAS_NOAH10_3H.A19770830.0600.020.nc4
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dataset: GLDAS_NOAH10_3H.A19770830.0600.020.nc4




  • NC_GLOBAL
    • CDI: Climate Data Interface version 1.9.8 (https://mpimet.mpg.de/cdi)
    • Conventions: CF-1.6
    • history: created on date: 2019-09-27T05:37:31.593
    • 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
    • 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: minutes since 1948-01-01 03:00:00
    • 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: 832.440002
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: -233.568985
    • vmax: 26.7610149
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: -26.2391548
    • vmax: 445.520844
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: -155.833084
    • vmax: 545.206909
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: -127.351494
    • vmax: 213.668503
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: 0.000509799982
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: 0.00141559995
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: -1.04914652e-05
    • vmax: 0.000178108530
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: sum
    • vmin: 0.00000000
    • vmax: 6.66690016
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: sum
    • vmin: 0.00000000
    • vmax: 5.08690977
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: sum
    • vmin: 0.00000000
    • vmax: 4.59789991
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: point
    • vmin: 233.767639
    • vmax: 320.217651
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: point
    • vmin: 4.99999952
    • vmax: 80.0000000
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: point
    • vmin: 0.00000000
    • vmax: 51071.1289
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: point
    • vmin: 0.00000000
    • vmax: 206.841507
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: point
    • 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: point
    • vmin: 6.10248184
    • vmax: 300.000488
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: point
    • vmin: 12.0000000
    • 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: point
    • vmin: 21.6594524
    • vmax: 1000.00043
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: point
    • vmin: 245.602280
    • vmax: 310.652283
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: point
    • vmin: 245.590378
    • vmax: 310.740356
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: point
    • vmin: 245.544373
    • vmax: 310.594360
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: point
    • vmin: 245.424454
    • vmax: 309.444458
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: -26.2391548
    • vmax: 931.100830
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: 356.600006
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: 328.559998
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: 214.610001
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: point
    • vmin: 2.00000000
    • vmax: 901.023987
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: point
    • vmin: 0.00000000
    • vmax: 0.500000000
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: point
    • vmin: 0.268401206
    • vmax: 14.7684011
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: 0.00141559995
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: point
    • vmin: 240.326996
    • vmax: 311.816986
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: point
    • vmin: 0.000135529175
    • vmax: 0.0340855308
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: point
    • vmin: 51547.6602
    • vmax: 103664.359
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: 908.830017
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: 111.379532
    • vmax: 460.909546

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