EVALUATION OF THE EFFECTS OF GENERAL-CIRCULATION MODELS SUBGRID VARIABILITY AND PATCHINESS OF RAINFALL AND SOIL-MOISTURE ON LAND-SURFACE WATER-BALANCE FLUXES
M. Sivapalan et Ra. Woods, EVALUATION OF THE EFFECTS OF GENERAL-CIRCULATION MODELS SUBGRID VARIABILITY AND PATCHINESS OF RAINFALL AND SOIL-MOISTURE ON LAND-SURFACE WATER-BALANCE FLUXES, Hydrological processes, 9(5-6), 1995, pp. 697-717
Many existing general circulation models (GCMs) use so-called 'bucket
algorithms' to represent land-surface hydrology. Wood et al. (1992) pr
esented a generalization of the simple bucket representation, based on
their variable infiltration capacity (VIC) model. The VIC model, in e
ssence, assumes a statistical distribution of bucket sizes within the
grid square. In this way, it provides a simple, computationally effici
ent and yet physically realistic model of land-surface hydrology. A pr
eliminary attempt is made here, using this simple model, to evaluate t
he effects of the spatial variability of rainfall intensities and the
resulting soil moisture within a hypothetical GCM grid square. Rainfal
l is assumed to be patchy, with only a fraction of the grid square bei
ng wetted by rainfall at any given time. Within the wetted area, howev
er, rainfall is allowed to vary randomly in space. Evaporation during
interstorm periods is estimated from the rest of the grid square by a
simple non-linear function of the available soil moisture. The soil mo
isture is also assumed to be patchy and spatially variable due to the
antecedent rainfall that caused it. A number of simplifying assumption
s have been made in the model about the redistribution of soil moistur
e at the end of storm and interstorm periods, and the effects of a veg
etation canopy have been ignored. The model is applied, under a variet
y of conditions, to estimate the biases in the modelled water balance
fluxes if the assumed spatial heterogeneity is neglected. The model is
also used to simulate the long-term water balance dynamics under assu
med hypothetical storm and inter-storm climatic inputs, to see how the
steady-state hydrological regime is affected by spatial variability.
These simulations are relevant to current efforts towards developing s
imple parameterizations of land-surface hydrology that explicitly inco
rporate subgrid heterogeneity.