Gridded Model Output from Global Land Data Assimilation System (GLDAS) 0.25 degree simulation using Noah 2.7.1 land surface model, experiment 881. This simulation was forced by a combination of NOAA/GDAS atmospheric analysis fields, spatially and temporally disaggregated NOAA Climate Prediction Center Merged Analysis of Precipitation (CMAP), and observation based downward shortwaveand longwave radiation fields derived using the method of the Air Force Weather Agency's AGRicultural METeorological modeling system. Snow cover data derived from the MODIS sensor aboard NASA's Terra satellite were assimilated in order to constrain the modeled snow water equivalent (SWE), using the updating technique described by Rodell and Houser (2004). SWE was adjusted when and where there was a discrepancy between the modeled SWE state (snow or no snow) and the MODIS snow cover state. 10 mm SWE was added to pixels where the model did not have snow but the fractional MODIS snow cover was greater than 40%. Snow was removed from model pixels where MODIS indicated fractional snow cover was less than 10%.
[1] DOIRodell, M.; Houser, P. R.; Jambor, U.; Gottschalck, J.; Mitchell, K.; Meng, C-J.; Arsenault, K.; Cosgrove, B.; Radakovich, J.; Bosilovich, M.; Entin, J. K.; Walker, J. P.; Lohmann, D.; Toll, D. (2004). The Global Land Data Assimilation System. doi:10.1175/BAMS-85-3-381
[2] DOIRodell, M.; Houser, P. R. (2004). Updating a Land Surface Model with MODIS-Derived Snow Cover. doi:10.1175/JHM-395.1