OPeNDAP Data Access Form for GLDAS_CLSM10_3H.A20211031.0600.021.nc4
OPeNDAP Logo
Welcome to the new
OPeNDAP Data Access Form

dataset: GLDAS_CLSM10_3H.A20211031.0600.021.nc4




  • NC_GLOBAL
    • missing_value: -9999.00000
    • tavg definition:: past 3-hour average
    • acc definition:: past 3-hour accumulation
    • inst definition:: instantaneous
    • title: GLDAS2.1 LIS land surface model output
    • institution: NASA GSFC
    • source: CLSM_F2.5 forced with GDAS-AGRMET-GPCPv13rA1_202110
    • history: created on date: 2022-01-14T13:18:57.391
    • 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
  • DODS_EXTRA
    • Unlimited_Dimension: time


lat[ lat= 0 ..149] (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: -59.5000000
    • vmax: 89.5000000
lon[ lon= 0 ..359] (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: -179.500000
    • vmax: 179.500000
time[ time= 0 ..0] (Type is Float64)
  • attributes
    • units: minutes since 2000-01-01 03:00:00
    • long_name: time
    • time_increment: 180
    • begin_date: 20211031
    • begin_time: 060000
    • bounds: time_bnds
time_bnds[ time= 0 ..0] [ bnds= 0 ..1] (Type is Float64)
no attributes
Swnet_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: surface_net_downward_shortwave_flux
    • long_name: Net short wave radiation flux
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 931.210510
Lwnet_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: surface_net_downward_longwave_flux
    • long_name: Net long-wave radiation flux
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -234.609055
    • vmax: 23.5129108
Qle_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: surface_upward_latent_heat_flux
    • long_name: Latent heat net flux
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -22.9624500
    • vmax: 793.475647
Qh_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: surface_upward_sensible_heat_flux
    • long_name: Sensible heat net flux
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -293.822235
    • vmax: 589.605774
Qg_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: downward_heat_flux_in_soil
    • long_name: Heat flux
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -156.287003
    • vmax: 179.259277
Snowf_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: kg m-2 s-1
    • standard_name: snowfall_flux
    • long_name: Snow precipitation rate
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 0.000309545110
Rainf_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: kg m-2 s-1
    • standard_name: rainfall_flux
    • long_name: Rain precipitation rate
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 0.00124098721
Evap_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: kg m-2 s-1
    • standard_name: water_evaporation_flux
    • long_name: Evapotranspiration
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -3.87012951e-05
    • vmax: 0.000321701053
Qs_acc[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: surface_runoff_amount
    • long_name: Storm surface runoff
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 5.85767984
Qsb_acc[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: subsurface_runoff_amount
    • long_name: Baseflow-groundwater runoff
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 0.321077734
Qsm_acc[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: surface_snow_melt_amount
    • long_name: Snow melt
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 6.37104607
SnowT_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: K
    • standard_name: temperature_in_surface_snow
    • long_name: Snow Surface temperature
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 222.492493
    • vmax: 326.133301
AvgSurfT_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: K
    • standard_name: surface_temperature
    • long_name: Average Surface Skin temperature
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 222.619553
    • vmax: 326.382080
Albedo_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: %
    • standard_name: surface_albedo
    • long_name: Albedo
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 8.25723457
    • vmax: 58.9680252
SWE_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: surface_snow_amount
    • long_name: Snow depth water equivalent
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 300.491913
SnowDepth_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: m
    • standard_name: surface_snow_thickness
    • long_name: Snow depth
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 0.842712343
SoilMoist_S_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: soil_moisture_content
    • long_name: Surface Soil moisture
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.0106701069
    • vmax: 8.93105316
SoilMoist_RZ_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: soil_moisture_content
    • long_name: Root Zone Soil moisture
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 32.6074905
    • vmax: 456.404724
SoilMoist_P_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: soil_moisture_content
    • long_name: Profile Soil moisture
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 110.870461
    • vmax: 3598.86816
SoilTMP0_10cm_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: K
    • standard_name: soil_temperature
    • long_name: Soil temperature
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 236.864944
    • vmax: 317.931580
SoilTMP10_29cm_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: K
    • standard_name: soil_temperature
    • long_name: Soil temperature
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 236.096954
    • vmax: 310.520020
SoilTMP29_68cm_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: K
    • standard_name: soil_temperature
    • long_name: Soil temperature
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 238.536179
    • vmax: 312.218384
SoilTMP68_144cm_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: K
    • standard_name: soil_temperature
    • long_name: Soil temperature
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 243.609955
    • vmax: 312.775421
SoilTMP144_295cm_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: K
    • standard_name: soil_temperature
    • long_name: Soil temperature
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 248.110764
    • vmax: 312.725708
SoilTMP295_1295cm_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: K
    • standard_name: soil_temperature
    • long_name: Soil temperature
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 248.052139
    • vmax: 311.855774
ECanop_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: evaporation_flux_from_canopy
    • long_name: Canopy water evaporation
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -22.9624500
    • vmax: 245.531082
TVeg_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: transpiration_flux_from_veg
    • long_name: Transpiration
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -0.00213414384
    • vmax: 649.884827
ESoil_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: evaporation_flux_from_soil
    • long_name: Direct Evaporation from Bare Soil
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: -0.00104802579
    • vmax: 376.617676
CanopInt_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: kg m-2
    • standard_name: canopy_water_amount
    • long_name: Plant canopy surface water
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 1.11353040
ACond_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: m s-1
    • standard_name: aerodynamic_conductance
    • long_name: Aerodynamic conductance
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.000387088163
    • vmax: 0.851542175
TWS_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: mm
    • standard_name: terrestrial_water_storage
    • long_name: Terrestrial water storage
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 110.870506
    • vmax: 3598.89966
Wind_f_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: m s-1
    • standard_name: wind_speed
    • long_name: Wind speed
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.0117359916
    • vmax: 16.6042690
Rainf_f_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: kg m-2 s-1
    • standard_name: precipitation_flux
    • long_name: Total precipitation rate
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 0.00124098721
Tair_f_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: K
    • standard_name: air_temperature
    • long_name: Temperature
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 231.925705
    • vmax: 313.069519
Qair_f_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: kg kg-1
    • standard_name: specific_humidity
    • long_name: Specific humidity
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 9.34459822e-05
    • vmax: 0.0221308805
Psurf_f_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: Pa
    • standard_name: surface_air_pressure
    • long_name: Pressure
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 52159.0469
    • vmax: 111780.266
SWdown_f_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: surface_downwelling_shortwave_flux_in_air
    • long_name: Downward short-wave radiation flux
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 0.00000000
    • vmax: 1064.04211
LWdown_f_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • units: W m-2
    • standard_name: surface_downwelling_longwave_flux_in_air
    • long_name: Downward long-wave radiation flux
    • cell_methods: time: mean
    • scale_factor: 1.00000000
    • add_offset: 0.00000000
    • missing_value: -9999.00000
    • _FillValue: -9999.00000
    • vmin: 108.889862
    • vmax: 467.057129

debug
Hyrax development sponsored by NSF, NASA, and NOAA

OPeNDAP Hyrax (1.16.3)
Documentation Questions? Contact Support