The sensitivity of soil moisture to external forcing in SSiB land surface scheme. Z.-C. Guo P. Dirmeyer X. Gao M. Zhao. __________________________________ The 85th AMS Annual Meeting, San Diego, CA, Jan. 11, 2005. Introduction.
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
in SSiB land surface scheme
Z.-C. Guo P. Dirmeyer X. Gao M. Zhao
The 85th AMS Annual Meeting, San Diego, CA, Jan. 11, 2005
d: with or without
Native Parameters (if applicable)
Hybrid ERA-40 precipitation (instead of NCEP/DOE)
NCEP/DOE hybrid with GPCC corrected for gauge undercatch (no satellite data)
NCEP/DOE hybrid with GPCC (no undercatch correction)
NCEP/DOE precipitation (no observational data)
NCEP/DOE hybrid with Xie daily gauge precipitation
NCEP/DOE shortwave only
NCEP/DOE longwave only
All NCEP meteorological data (no hybridization with observational data)
All ECMWF meteorological data (no hybridization with observational data)
U.Maryland vegetation class data
Climatological vegetationSensitivity Experiments
ERA-40 precipitation (no observational data)
C PE Hybrid ERA-40 precip.
R3 ISCCP radiation
a. The hybridization of observations with the reanalyses significantly improves the quality of simulated soil moisture
M1 + P2
b. precipitation, radiation fluxes, and vegetation parameters have a large impact on the quality of simulated soil moisture.
c. Precipitation’s impact on the quality of simulated soil moisture.
Impacts of forcing data on soil moisture simulations vary from region to region
I1 PE P3
P2 V1 PE
PE P5 P2
V1 P3 PE
R3 P2 R2
V1 P2 R2
I1 PE P3
PE I1 P3
B0 I1 P3
P3 V1 R1
R3 P5 P2
R2 M2 V1
SW (40 stations)
Precipitation (160 stations)