OPeNDAP Data Access Form for GLDAS_NOAH10_M.A200911.021.nc4
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dataset: GLDAS_NOAH10_M.A200911.021.nc4




  • NC_GLOBAL
    • CDI: Climate Data Interface version 1.9.8 (https://mpimet.mpg.de/cdi)
    • Conventions: CF-1.6
    • history: created on date: 2019-09-27T22:53:48.258
    • source: Noah_v3.6 forced with GDAS-AGRMET-GPCPv13rA1
    • institution: NASA GSFC
    • missing_value: -9999.00000
    • tavg definision:: past 3-hour average
    • acc definision:: past 3-hour accumulation
    • inst definision:: instantaneous
    • title: GLDAS2.1 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 2000-01-01 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: 321.901367
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: -151.328583
    • vmax: -4.99763155
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: -6.12889194
    • vmax: 168.214157
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: -57.6296921
    • vmax: 230.511353
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: -27.2008533
    • vmax: 8.55002117
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: 0.000107391250
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: 0.000240563750
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: -2.22139261e-06
    • vmax: 6.72602764e-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: 1.11172080
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: 1.89013374
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: 0.564543307
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: 229.111801
    • vmax: 309.444061
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: 5.02701473
    • vmax: 80.2708893
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: 80676.5469
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: 283.190338
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: 2.00342917
    • 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: 8.21797657
    • vmax: 300.000000
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: 17.3074436
    • 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: 31.1475887
    • vmax: 1000.00018
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: 247.725525
    • vmax: 309.267975
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: 249.599792
    • vmax: 308.447845
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: 249.639099
    • vmax: 306.973145
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: 249.580902
    • vmax: 306.979370
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: -6.12147665
    • vmax: 629.820068
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: 79.0532074
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: 114.659210
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: 80.3235855
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: 2.00566244
    • vmax: 898.716797
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: 0.500000000
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: mean
    • vmin: 0.634378135
    • vmax: 9.53021145
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: 0.000240563750
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: 236.716095
    • vmax: 306.588196
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: 0.000210854967
    • vmax: 0.0199766457
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: 52423.3047
    • vmax: 102711.180
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: 384.097504
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: 124.193985
    • vmax: 438.316742

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