dataset: GLDAS_CLSM025_DA1_D.A20171002.022.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: 2019-10-04T00:29:22.811 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: 20171002 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: 1.66474748 vmax: 309.774414 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: -181.186066 vmax: 65.1425858 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: -3558.28125 vmax: 368.849945 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: -261.515594 vmax: 3599.01685 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: -87.4442062 vmax: 67.5984421 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: -0.00144101190 vmax: 0.000149543892 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: 0.00108795380 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: 9.49201640e-05 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: 0.000252638827 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: 240.259964 vmax: 318.922668 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: 240.259964 vmax: 318.922668 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: 2613.35864 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: 6.09626245 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: 0.0153813334 vmax: 9.54584980 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: 32.3730354 vmax: 478.136078 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: 109.398857 vmax: 4046.99902 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: -0.000343661843 vmax: 3.95665484e-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: -8.33880847e-07 vmax: 9.40401733e-05 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: -0.00144497573 vmax: 0.000120863893 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: 1.27790654 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: -5.71245182e-05 vmax: 8.79914733e-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: 0.000383968785 vmax: 3.59959126 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: 109.398903 vmax: 4047.21631 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: 77.0258636 vmax: 3596.99854

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dataset: GLDAS_CLSM025_DA1_D.A20171002.022.nc4

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Documentation Questions? Contact Support