Table 5. List of model drifting, subgrid topography, snow-vegetation interaction, frozen soil, test with field data, use of remote sensing data as input, and comparison with satellite data.


Model Name Snow drifting Subgrid topography Snow-vegetation interaction Frozen soil Test with field data Remote sensing data as input Comparison with satellite data
Australian No No No N/a Yes No No
BAIM No - Yes Liquid water and ice in the soil layers are prognostic variables of BAIM Yes No Not yet
BASE yes No yes Explicitly as a prognostic variable Yes No Its been coupled but not compared (carefully)
BATS accumulation: only if accomplished in precipitation data stream NA Yes Yes Yes No Yes
CLASS No No Yes Yes Yes No Yes
CROCUS No No No no soil in the model Yes NA Not yet
DARSSM No No Yes Yes Yes No No
DHSVM No Temperature is linearly interpolated between available stations or assumed to follow a pseudoadiabation lapse rate (if no explicit info is available) Yes It is not treated in the base version, the version with VIC-3l includes frozen soils Yes in progress -
ECHAM (Duemenil) No No Yes Yes Yes No Yes
ECHAM (Loth) No No Yes Yes Yes No Yes
GFDL Snow Model No No No No - - -
Hadley Centre/UKMO GCM LSM No No Yes Current model does not represen soil freezing, new version does Yes No Yes
HBV Yes Yes Yes No Yes Yes No
IAP94 No No Yes Yes Yes No No
IHACRES Snow Model No Elevation correction is taken into account when the long-term climatic means are calculated for each gridcell No Yes Yes No N/A
INM No - No No Yes No -
ISBA No NA Yes - - - -
ISBA-ES No NA Yes Yes Yes No No
LSMCS No No Not now but try to do later Yes Yes No No
MAPS/RUC SVS No No No No Yes No Yes
MAR Yes No No No Yes No No
Mosaic No No Yes Yes No No Yes
MRI-CGCM GHM No No No Yes Yes No Yes
MU-SNW Implicitly, yes Yes Yes No Yes No Yes
NCEP/OH/OSU CAPS No No Yes No Yes Yes Yes
NCEP/OH/OSU LSM No No It accounts for the shade factor of vegetation to estimate albedo Yes Yes No No
NWSRFS SNOW-17 - - Since this is a conceptual model, many of these effects are implicitly accounted for in the model parameters. This answer applie to many of other questions. - - - -
RAMS Snow Component No No No Yes No No No
RGM No Yes No Yes Yes Yes No
SEMS Yes Yes Yes No Yes No No
SHAW No No Yes Yes Yes No No
SLURP No Yes only in terms of interception of precipitation in progress Yes Yes No
SNAP No No No No Yes No NA
SNOWPACK Will be implemented later - No No Yes No No
SNTHERM Accumulation: 0nly if accomplished in precipitation data stream. NA Vegetation is not handled within the publicly available model, but has been considered in research grade versions of SNTHERM. Yes Yes Yes Yes
SNTHERM (Davis) Accumulation: 0nly if accomplished in precipitation data stream. Yes, lapsed Yes (in research grade) Yes Yes Yes Yes, Coupled only in post-processing sense
SNTHERM.ver4 - - - - Yes No -
SOIL No NA Yes Yes Yes No No
SSMI DSCM YES, WE MEASURE IT No Yes - - IT IS REMOTE SENSING DATA SERVES AS INPUT
SPONSOR No No Yes Yes Yes No No
SPS (CAPS-LLNL) No No No Yes underway No No
SSiB No No Yes No Yes No No
TSCM1 No Yes. linear function of elevation No - Yes No No
TSCMM No No No - Yes No No
UEB Yes The model may be run on a grid. Temperature may be input whatever you like at each grid point. We have used various interpolation and lapse rate schemes No The energy content state variable includes the top 40 cm of soil Yes No -

(Prepared by Zong-Liang Yang and Guo-Yue Niu)

-- Last updated Fri Oct 8 13:04:23 MST 1999 by Zong-Liang Yang.
For questions and comments, please contact Zong-Liang Yang