dataset: GLDAS_CLSM10_M.A202101.021.nc4

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Global Attributes	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 monthly mean institution: NASA GSFC source: CLSM_F2.5 forced with GDAS-AGRMET-GPCPv13rA1_202101 history: created on date: 2021-04-24T00:32:02.945 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

Variables	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: days since 2000-01-01 00:00:00 long_name: time time_increment: one month begin_date: 20210101 begin_time: 000000 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: 327.202454 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: -168.215454 vmax: 4.29132462 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: -0.00157460908 vmax: 225.770325 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: -88.9338760 vmax: 197.179306 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: -25.0037270 vmax: 5.54447269 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: 8.28387128e-05 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: 0.000195646906 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: -1.27468240e-06 vmax: 9.15346900e-05 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: 1.39886582 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: 0.404092491 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: 0.579820573 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: 223.701218 vmax: 312.354340 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: 223.751678 vmax: 312.357544 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: 8.46609783 vmax: 62.2000389 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: 480.909729 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: 1.57764959 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: 0.0142841833 vmax: 8.91341972 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: 32.8520508 vmax: 450.266785 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: 111.780075 vmax: 3668.45679 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: 236.954086 vmax: 312.048492 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: 237.522507 vmax: 311.507812 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: 238.435211 vmax: 310.382935 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: 239.931396 vmax: 309.187408 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: 242.570404 vmax: 310.891388 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: 248.328766 vmax: 311.929382 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: -1.66823614 vmax: 75.0844116 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: -0.00100485433 vmax: 148.148849 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: 0.00000000 vmax: 141.418411 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: 0.556789875 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: 0.000429005187 vmax: 0.657132149 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: 111.780197 vmax: 3668.58716 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: 0.370226324 vmax: 10.6895456 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: 0.000195646906 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: 228.567810 vmax: 307.482178 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: 4.84765333e-05 vmax: 0.0201692823 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: 51461.0391 vmax: 111967.984 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: 392.128174 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: 112.194580 vmax: 452.304260

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dataset: GLDAS_CLSM10_M.A202101.021.nc4

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Documentation Questions? Contact Support