dataset: GLDAS_CLSM10_3H.A19890128.1200.020.nc4

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Global Attributes	NC_GLOBAL CDI: Climate Data Interface version 1.9.8 (https://mpimet.mpg.de/cdi) Conventions: CF-1.6 history: created on date: 2020-08-22T06:19:21.220 source: CLSM_F2.5 forced with Princeton_V2.2 institution: NASA GSFC missing_value: -9999.00000 tavg definition:: past 3-hour average acc definition:: past 3-hour accumulation inst definition:: 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

Variables	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: 913.479980 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: -259.359528 vmax: 52.6604691 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: -30.5015793 vmax: 517.338440 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: -471.961090 vmax: 476.008911 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: -190.943024 vmax: 207.556976 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: 0.00190859998 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: 0.00172700000 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: -0.000111218236 vmax: 0.000209781763 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: 14.6921301 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: 1.01856995 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: 25.6697998 SnowT_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values) attributes standard_name: temperature_in_surface_snow long_name: Snow Surface temperature units: K _FillValue: -9999.00000 missing_value: -9999.00000 cell_methods: time: mean vmin: 208.809814 vmax: 327.009827 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: 208.270004 vmax: 332.320007 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: 7.11020184 vmax: 61.5802002 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: 1748.66003 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: 4.11969995 SoilMoist_S_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values) attributes standard_name: soil_moisture_content long_name: Surface Soil moisture units: kg m-2 _FillValue: -9999.00000 missing_value: -9999.00000 cell_methods: time: point vmin: 0.00708003808 vmax: 9.00008011 SoilMoist_RZ_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values) attributes standard_name: soil_moisture_content long_name: Root Zone Soil moisture units: kg m-2 _FillValue: -9999.00000 missing_value: -9999.00000 cell_methods: time: point vmin: 32.6046677 vmax: 457.149658 SoilMoist_P_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values) attributes standard_name: soil_moisture_content long_name: Profile Soil moisture units: kg m-2 _FillValue: -9999.00000 missing_value: -9999.00000 cell_methods: time: point vmin: 111.253914 vmax: 3959.13184 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: 224.813614 vmax: 316.193604 SoilTMP10_29cm_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: 227.527267 vmax: 313.107269 SoilTMP29_68cm_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: 230.426407 vmax: 309.886414 SoilTMP68_144cm_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: 235.145325 vmax: 308.315338 SoilTMP144_295cm_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: 242.829880 vmax: 307.539886 SoilTMP295_1295cm_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: 250.079590 vmax: 309.199585 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: -30.5015793 vmax: 134.658417 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: -0.0145940073 vmax: 435.535400 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: 422.529999 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: 1.05499995 ACond_tavg[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values) attributes standard_name: aerodynamic_conductance long_name: Aerodynamic conductance units: m s-1 _FillValue: -9999.00000 missing_value: -9999.00000 cell_methods: time: mean vmin: 0.000396088930 vmax: 0.969536066 TWS_inst[ time= 0 ..0] [ lat= 0 ..149] [ lon= 0 ..359] (Grid of Float32 values) attributes standard_name: terrestrial_water_storage long_name: Terrestrial water storage units: mm _FillValue: -9999.00000 missing_value: -9999.00000 cell_methods: time: point vmin: 111.253922 vmax: 3959.25391 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: 0.268302143 vmax: 21.2683029 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: 0.00190859998 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: 211.418106 vmax: 313.948120 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: 1.00001731e-08 vmax: 0.0306400098 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: 49850.8203 vmax: 104016.820 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: 1039.18005 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: 71.1611404 vmax: 462.101135

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dataset: GLDAS_CLSM10_3H.A19890128.1200.020.nc4

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