dataset: GLDAS_CLSM025_DA1_D.A20100629.022.nc4

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Global Attributes	NC_GLOBAL missing_value: -9999.00000 tavg definision:: 24-hour average title: GLDAS2.2 LIS land surface model output institution: NASA GSFC HSL source: CLSM_F2.5/CSR_GRACE_GRACE-FO_RL06_Mascons_all-corrections_2002-04_2019-08.nc/ECMWF references: Li_etal_WRR_2019, Li_etal_SciRep_2019, Li_etal_GRL_2017, Rodell_etal_BAMS_2004, Kumar_etal_EMS_2006, Peters-Lidard_etal_ISSE_2007 history: created on date: 2019-09-17T04:12:42.056 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: -59.8750000 SOUTH_WEST_CORNER_LON: -179.875000 DX: 0.250000000 DY: 0.250000000 DODS_EXTRA Unlimited_Dimension: time

Variables	lat[ lat= 0 ..599] (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: -59.8750000 vmax: 89.8750000 lon[ lon= 0 ..1439] (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: -179.875000 vmax: 179.875000 time[ time= 0 ..0] (Type is Float64) attributes units: days since 2003-02-01 00:00:00 long_name: time time_increment: 1 begin_date: 20100629 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 ..599] [ lon= 0 ..1439] (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: 5.18306828 vmax: 362.432190 Lwnet_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (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: -172.292496 vmax: 54.4406052 Qle_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (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: -1699.57812 vmax: 673.951050 Qh_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (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: -544.042480 vmax: 1772.47241 Qg_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (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: -52.3094025 vmax: 105.996429 Evap_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (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: -0.000689064618 vmax: 0.000273241865 Qs_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values) attributes units: kg m-2 s-1 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: 0.00165832252 Qsb_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values) attributes units: kg m-2 s-1 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: 0.000112753718 Qsm_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values) attributes units: kg m-2 s-1 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: 0.000868728035 SnowT_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (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: 252.583023 vmax: 319.328125 AvgSurfT_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (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: 252.583023 vmax: 319.328125 SWE_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (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: 2039.22339 SnowDepth_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (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: 4.30614328 SoilMoist_S_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (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: 0.0168169364 vmax: 9.50385857 SoilMoist_RZ_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (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: 32.3887367 vmax: 476.061676 SoilMoist_P_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (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: 109.578453 vmax: 4011.03809 ECanop_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values) attributes units: kg m-2 s-1 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: -0.000637690770 vmax: 3.96814648e-05 TVeg_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values) attributes units: kg m-2 s-1 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: -3.47813784e-06 vmax: 0.000124341430 ESoil_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values) attributes units: kg m-2 s-1 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: -0.000697027950 vmax: 0.000154760695 CanopInt_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (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: 1.17375803 EvapSnow_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values) attributes units: kg m-2 s-1 standard_name: snow_evaporation long_name: Snow Evaporation cell_methods: time: mean scale_factor: 1.00000000 add_offset: 0.00000000 missing_value: -9999.00000 _FillValue: -9999.00000 vmin: -7.17796574e-05 vmax: 7.49247629e-05 ACond_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (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: 0.000444657780 vmax: 2.27465677 TWS_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (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: 109.578461 vmax: 4011.17749 GWS_tavg[ time= 0 ..0] [ lat= 0 ..599] [ lon= 0 ..1439] (Grid of Float32 values) attributes units: mm standard_name: Ground Water Storage long_name: ground_water_storage cell_methods: time: mean scale_factor: 1.00000000 add_offset: 0.00000000 missing_value: -9999.00000 _FillValue: -9999.00000 vmin: 77.0432587 vmax: 3567.39966

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dataset: GLDAS_CLSM025_DA1_D.A20100629.022.nc4

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Documentation Questions? Contact Support