dataset: GLDAS_CLSM10_3H.A19891005.1200.020.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: 2020-08-22T07:23:38.717 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: 831.690002 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: -295.010895 vmax: 30.7891006 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: -42.6787643 vmax: 555.171265 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: -285.336609 vmax: 443.083374 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: -159.748932 vmax: 239.231064 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: 0.00220420002 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: 0.00216310006 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: -1.73033714e-05 vmax: 0.000225096621 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: 12.8914900 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: 0.464040011 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: 1.34860003 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: 232.112106 vmax: 331.812103 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: 232.453049 vmax: 334.283051 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: 1.73707592 vmax: 59.8270760 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: 1720.98999 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: 4.13520002 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: 0.00622170558 vmax: 9.06722164 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: 32.5556107 vmax: 472.836609 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: 110.837807 vmax: 3908.19873 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: 249.972351 vmax: 320.502350 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: 250.607208 vmax: 313.727203 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: 252.353363 vmax: 314.143372 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: 254.119370 vmax: 313.829376 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: 253.626740 vmax: 312.206726 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: 249.755600 vmax: 309.085602 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: -42.6787643 vmax: 236.901230 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: -0.00994110387 vmax: 412.610046 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: -0.00408801995 vmax: 427.865906 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: 1.17100000 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: 0.000394554343 vmax: 0.916984558 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: 110.837814 vmax: 3907.83789 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: 0.278920829 vmax: 18.9789200 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: 0.00229409989 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: 239.913223 vmax: 317.323212 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: 5.68416581e-05 vmax: 0.0358568430 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: 51212.1953 vmax: 103804.195 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: 1034.52002 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: 119.266708 vmax: 450.426697

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dataset: GLDAS_CLSM10_3H.A19891005.1200.020.nc4

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