dataset: GLDAS_CLSM10_M.A196206.020.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: 2020-09-02T06:04:00.761 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 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

Variables	time[ time= 0 ..0] (Type is Float64) attributes standard_name: time long_name: time bounds: time_bnds units: days since 1948-01-01 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: 11.5124168 vmax: 319.183838 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: -174.458618 vmax: 5.53421164 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: -26.9899063 vmax: 298.777924 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: -177.661148 vmax: 165.687302 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: -11.4067144 vmax: 36.9581184 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: 4.66366655e-05 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: 0.000362727907 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: -1.09379962e-05 vmax: 0.000121135752 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: 2.47787237 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: 0.312684208 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: 2.64996505 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: 266.924530 vmax: 316.128265 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: 266.924042 vmax: 315.864716 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: 5.11982965 vmax: 79.3734970 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: 1755.02112 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: 3.73238540 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: mean vmin: 0.00608470244 vmax: 9.04859734 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: mean vmin: 32.5466423 vmax: 469.823242 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: mean vmin: 111.006119 vmax: 3955.94897 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: 254.451965 vmax: 315.403259 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: mean vmin: 253.907974 vmax: 314.344604 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: mean vmin: 252.954697 vmax: 312.597076 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: mean vmin: 250.622879 vmax: 310.528870 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: mean vmin: 248.365936 vmax: 308.452820 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: mean vmin: 248.922867 vmax: 308.389374 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: -1.61379528 vmax: 93.3037872 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: -11.8460560 vmax: 138.571243 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: -15.2812738 vmax: 134.782806 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: 0.606058359 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: 0.00456810882 vmax: 0.950705469 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: mean vmin: 111.006126 vmax: 3956.09351 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: 0.576983094 vmax: 11.0878162 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: 0.000362727907 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: 258.731750 vmax: 310.583984 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: 4.55523832e-06 vmax: 0.0268371385 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: 51143.0273 vmax: 103749.000 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: 22.2110004 vmax: 379.932556 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: 175.182434 vmax: 451.039612

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dataset: GLDAS_CLSM10_M.A196206.020.nc4

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