THE PROJECT FOR INTERCOMPARISON OF LAND-SURFACE PARAMETERIZATION SCHEMES (PILPS) PHASE 2(C) RED-ARKANSAS RIVER BASIN EXPERIMENT - 1 - EXPERIMENT DESCRIPTION AND SUMMARY INTERCOMPARISONS
Ef. Wood et al., THE PROJECT FOR INTERCOMPARISON OF LAND-SURFACE PARAMETERIZATION SCHEMES (PILPS) PHASE 2(C) RED-ARKANSAS RIVER BASIN EXPERIMENT - 1 - EXPERIMENT DESCRIPTION AND SUMMARY INTERCOMPARISONS, Global and planetary change, 19(1-4), 1998, pp. 115-135
0Sixteen land-surface schemes participating in the Project for the Int
ercomparison of Land-surface Schemes (PILPS) Phase 2(c) were run using
10 years (1979-1988) of forcing data for the Red-Arkansas River basin
s in the Southern Great Plains region of the United States. Forcing da
ta (precipitation, incoming radiation and surface meteorology) and lan
d-surface characteristics (soil and vegetation parameters) were provid
ed to each of the participating schemes. Two groups of runs are presen
ted. (1) Calibration-validation runs, using data from six small catchm
ents distributed across the modeling domain. These runs were designed
to test the ability of the schemes to transfer information about model
parameters to other catchments and to the computational grid boxes. (
2) Base-runs, using data for 1979-1988, designed to evaluate the abili
ty of the schemes to reproduce measured energy and water fluxes over m
ultiple seasonal cycles across a climatically diverse, continental-sca
le basin. All schemes completed the base-runs but five schemes chose n
ot to calibrate. Observational data (from 1980-1986) including daily r
iver flows and monthly basin total evaporation estimated through an at
mospheric budget analysis, were used to evaluate model performance. In
general, the results are consistent with earlier PILPS experiments in
terms of differences among models in predicted water and energy fluxe
s. The mean annual net radiation varied between 80 and 105 W m(-2) (ex
cluding one model). The mean annual Bowen ratio varied from 0.52 to 1.
73 (also excluding one model) as compared to the data-estimated value
of 0.92. The run-off ratios varied from a low of 0.02 to a high of 0.4
1, as compared to an observed value of 0.15. In general, those schemes
that did not calibrate performed worse, not only on the validation ca
tchments, but also at the scale of the entire modeling domain. This su
ggests that further PILPS experiments on the value of calibration need
to be carried out. (C) 1998 Elsevier Science B.V. All rights reserved
.