OPeNDAP Data Access Form for FLDAS_NOAH01_C_GL_MC.CLIM01.001.nc
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dataset: FLDAS_NOAH01_C_GL_MC.CLIM01.001.nc




  • NC_GLOBAL
    • CDI: Climate Data Interface version 1.9.8 (https://mpimet.mpg.de/cdi)
    • Conventions: CF-1.6
    • history: Fri Oct 30 11:59:45 2020: cdo -L select,name=LANDMASK lis_input_gl_elev_watermask_MOD44W.nc FLDAS_GLOBAL_watermask_MOD44W.nc\012created on date: 2020-10-28T13:11:57.176
    • institution: NASA GSFC
    • missing_value: -9999.000000000000
    • title: FLDAS 35-year (1982-2016) monthly climatology
    • MAP_PROJECTION: EQUIDISTANT CYLINDRICAL
    • SOUTH_WEST_CORNER_LAT: -59.95000000000000
    • SOUTH_WEST_CORNER_LON: -179.9500000000000
    • DX: 0.1000000000000000
    • DY: 0.1000000000000000
    • CDO: Climate Data Operators version 1.9.8 (https://mpimet.mpg.de/cdo)
  • DODS_EXTRA
    • Unlimited_Dimension: time


time[ time= 0 ..0] (Type is Float64)
  • attributes
    • standard_name: time
    • long_name: time
    • climatology: climatology_bnds
    • units: days since 1982-01-01 00:00:00
    • calendar: standard
    • axis: T
climatology_bnds[ time= 0 ..0] [ bnds= 0 ..1] (Type is Float64)
no attributes
lon[ lon= 0 ..3599] (Type is Float64)
  • attributes
    • standard_name: longitude
    • long_name: longitude
    • units: degrees_east
    • axis: X
lat[ lat= 0 ..1499] (Type is Float64)
  • attributes
    • standard_name: latitude
    • long_name: latitude
    • units: degrees_north
    • axis: Y
SoilMoi00_10cm_tavg[ time= 0 ..0] [ lat= 0 ..1499] [ lon= 0 ..3599] (Grid of Float32 values)
  • attributes
    • standard_name: soil_moisture_content
    • long_name: soil moisture content
    • units: m^3 m-3
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • vmin: 0.0799999312
    • vmax: 1.00000000
    • cell_methods: time:mean within years time: mean over years
SoilMoi10_40cm_tavg[ time= 0 ..0] [ lat= 0 ..1499] [ lon= 0 ..3599] (Grid of Float32 values)
  • attributes
    • standard_name: soil_moisture_content
    • long_name: soil moisture content
    • units: m^3 m-3
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • vmin: 0.0799999312
    • vmax: 1.00000000
    • cell_methods: time:mean within years time: mean over years
SoilMoi40_100cm_tavg[ time= 0 ..0] [ lat= 0 ..1499] [ lon= 0 ..3599] (Grid of Float32 values)
  • attributes
    • standard_name: soil_moisture_content
    • long_name: soil moisture content
    • units: m^3 m-3
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • vmin: 0.0799999312
    • vmax: 1.00000000
    • cell_methods: time:mean within years time:mean over years
SoilMoi100_200cm_tavg[ time= 0 ..0] [ lat= 0 ..1499] [ lon= 0 ..3599] (Grid of Float32 values)
  • attributes
    • standard_name: soil_moisture_content
    • long_name: soil moisture content
    • units: m^3 m-3
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • vmin: 0.0799999312
    • vmax: 1.00000000
    • cell_methods: time:mean within years time:mean over years
Evap_tavg[ time= 0 ..0] [ lat= 0 ..1499] [ lon= 0 ..3599] (Grid of Float32 values)
  • attributes
    • standard_name: total_evapotranspiration
    • long_name: total evapotranspiration
    • units: kg m-2 s-1
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • vmin: -1.36700305e-06
    • vmax: 7.65487421e-05
    • cell_methods: time:mean within years time:mean over years
Rainf_f_tavg[ time= 0 ..0] [ lat= 0 ..1499] [ lon= 0 ..3599] (Grid of Float32 values)
  • attributes
    • standard_name: rainfall_flux
    • long_name: rainfall flux
    • units: kg m-2 s-1
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • vmin: 0.00000000
    • vmax: 0.000314251491
    • cell_methods: time:mean within years time:mean over years
Tair_f_tavg[ time= 0 ..0] [ lat= 0 ..1499] [ lon= 0 ..3599] (Grid of Float32 values)
  • attributes
    • standard_name: air_temperature
    • long_name: air temperature
    • units: K
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • vmin: 231.463745
    • vmax: 306.446777
    • cell_methods: time:mean within years time:mean over years
Qtotal_tavg[ time= 0 ..0] [ lat= 0 ..1499] [ lon= 0 ..3599] (Grid of Float32 values)
  • attributes
    • standard_name: total_runoff
    • long_name: total runoff
    • units: kg m-2 s-1
    • _FillValue: -9999.00000
    • missing_value: -9999.00000
    • vmin: 0.00000000
    • vmax: 0.000689967128
    • cell_methods: time:mean within years time:mean over years

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