Abstract:
This data set contains a series of land surface parameters simulated from the Noah land-surface model (LSM) for Phase 2 of the North American Land Data Assimilation System (NLDAS-2). The data are in 1/8th degree grid spacing and range from Jan 1979 to the present. The temporal resolution is hourly. The file format is WMO GRIB-1.
Details about the NLDAS-2 configuration of the Noah LSM can be found ... in Xia et al. (2012).
The Noah model was developed as the land component of the NOAA NCEP mesoscale Eta model [Betts et al. (1997); Chen et al. (1997); Ek et al. (2003)]. As used in NLDAS-2, recent modifications were made to Noah's cold-season [Livneh et al. (2010)] and warm-season [Wei et al. (2012)] parameterizations. Noah serves as the land component in the evolving Weather Research and Forecasting (WRF) regional atmospheric model, the NOAA NCEP coupled Climate Forecast System (CFS), and the Global Forecast System (GFS). The model simulates the soil freeze-thaw process and its impact on soil heating/cooling and transpiration, following Koren et al. (1999). The model has four soil layers with spatially invariant thicknesses of 10, 30, 60, and 100 cm. The first three layers form the root zone in non-forested regions, with the fourth layer included in forested regions.
The Noah LSM was forced by the hourly NLDAS-2 forcing "File A" files, and contains fifty-two fields. The data set applies a user-defined parameter table to indicate the contents and parameter number. The following table shows a list of parameters, their Product Definition Section (PDS) IDs and units.
PDS_IDs:Short_Name:Full_Name [Unit] 179:ACONDsfc:Aerodynamic conductance [m/s] 84:ALBDOsfc:Albedo [%] 162:ARAINsfc:Rainfall (unfrozen precipitation) [kg/m^2] 161:ASNOWsfc:Snowfall (frozen precipitation) [kg/m^2] 148:AVSFTsfc:Average surface skin temperature [K] 234:BGRUNsfc:Subsurface runoff (baseflow) [kg/m^2] 181:CCONDsfc:Canopy conductance [m/s] 223:CNWATsfc:Plant canopy surface water [kg/m^2] 205:DLWRFsfc:Longwave radiation flux downwards (surface) [W/m^2] 204:DSWRFsfc:Shortwave radiation flux downwards (surface) [W/m^2] 199:EVBSsfc:Direct evaporation from bare soil [W/m^2] 200:EVCWsfc:Canopy water evaporation [W/m^2] 57:EVPsfc:Total evapotranspiration [kg/m^2] 155:GFLUXsfc:Ground heat flux [W/m^2] 182:LAIsfc:Leaf area index (0-9) [unitless] 121:LHTFLsfc:Latent heat flux [W/m^2] 151:LSOIL0_10cm:0-10 cm liquid soil moisture content (non-frozen) [kg/m^2] 151:LSOIL10_40cm:10-40 cm liquid soil moisture content (non-frozen) [kg/m^2] 151:LSOIL40_100cm:40-100 cm liquid soil moisture content (non-frozen) [kg/m^2] 151:LSOIL100_200cm:100-200 cm liquid soil moisture content (non-frozen) [kg/m^2] 207:MSTAV0_100cm:0-100 cm Moisture availability [%] 207:MSTAV0_200cm:0-200 cm total column Moisture availability [%] 112:NLWRSsfc:Longwave radiation flux net (surface) [W/m^2] 111:NSWRSsfc:Shortwave radiation flux net (surface) [W/m^2] 145:PEVPRsfc:Potential evaporation rate [W/m^2] 248:RCQsfc:Humidity parameter in canopy conductance [fraction] 246:RCSsfc:Solar parameter in canopy conductance [fraction] 249:RCSOLsfc:Soil moisture parameter in canopy conductance [fraction] 247:RCTsfc:Temperature parameter in canopy conductance [fraction] 255:RSMACRsfc:Relative soil moisture availability control factor [0-1] 203:RSMINsfc:Minimal stomatal resistance [s/m] 250:RZSMgnd:Root zone soil moisture [kg/m^2] 198:SBSNOsfc:Sublimation (evaporation from snow) [W/m^2] 122:SHTFLsfc:Sensible heat flux [W/m^2] 66:SNODsfc:Snow depth [m] 229:SNOHFsfc:Snow phase-change heat flux [W/m^2] 99:SNOMsfc:Snow melt [kg/m^2] 238:SNOWCsfc:Snow cover [fraction] 86:SOILM0_10cm:0-10 cm layer 1 Soil moisture content [kg/m^2] 86:SOILM0_100cm:0-100 cm top 1 meter Soil moisture content [kg/m^2] 86:SOILM0_200cm:0-200 cm total column Soil moisture content [kg/m^2] 86:SOILM10_40cm:10-40 cm layer 2 Soil moisture content [kg/m^2] 86:SOILM40_100cm:40-100 cm layer 3 Soil moisture content [kg/m^2] 86:SOILM100_200cm:100-200 cm layer 4 Soil moisture content [kg/m^2] 235:SSRUNsfc:Surface runoff (non-infiltrating) [kg/m^2] 210:TRANSsfc:Transpiration [W/m^2] 85:TSOIL0_10cm:0-10 cm Soil temperature [K] 85:TSOIL10_40cm:10-40 cm Soil temperature [K] 85:TSOIL40_100cm:40-100 cm Soil temperature [K] 85:TSOIL100_200cm:100-200 cm Soil temperature [K] 87:VEGsfc:Vegetation [fraction] 65:WEASDsfc:Accumulated snow water-equivalent [kg/m^2]
Goddard Earth Sciences Data and Information Services Center
Code 610.2
NASA Goddard Space Flight Center
City:
Greenbelt
Province or State:
MD
Postal Code:
20771
Country:
USA
Publications/References
Xia, Y., K. Mitchell, M. Ek, J. Sheffield, B. Cosgrove, E. Wood, L. Luo, C. Alonge, H. Wei, J. Meng, B. Livneh, D. Lettenmaier, V. Koren, Q. Duan, K. Mo, Y. Fan, and D. Mocko, (2012), Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products, J. Geophys. Res., ... 117, D03109, doi:10.1029/2011JD016048.
Betts, A., F. Chen, K. Mitchell, and Z. Janjic (1997), Assessment of the land surface and boundary layer models in two operational versions of the NCEP Eta model using FIFE data, Mon. Weather Rev., 125, 2896-2916, doi:10.1175/1520-0493(1997)125<2896:AOTLSA>2.0.CO;2.
Chen, F., Z. Janjic, and K. Mitchell (1997), Impact of atmospheric surface-layer parameterizations in the new land-surface scheme of the NCEP mesoscale Eta model, Boundary Layer Meteorol., 85, 391-421, doi:10.1023/A:1000531001463.
Ek, M. B., K. E. Mitchell, Y. Lin, E. Rodgers, P. Grunman, V. Koren, G. Gayno, and J. D. Tarpley (2003), Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model, J. Geophys. Res., 108(D22), 8851, doi:10.1029/2002JD003296.
Koren, V., J. Schaake, K. E. Mitchell, Q. Duan, F. Chen, and J. Baker (1999), A paramerization of snowpack and frozen ground intended for NCEP weather and climate models, J. Geophys. Res., 104, 19569-19585, doi:10.1029/1999JD900232.
Livneh, B., Y. Xia, M. B. Ek, K. E. Mitchell, and D. Lettenmaier (2010), Noah LSM snow model diagnostics and enhancements, J. Hydrometeorol., 11, 721-738, doi:10.1175/2009JHM1174.1.
Wei, H., Y. Xia, K. E. Mitchell, and M. B. Ek (2011), Improvement of Noah land surface model for warm season processes: Evaluation of water and energy flux simulation, Hydrol. Processes, doi:10.1002/hyp.9214.
