Catchment runoff is the most widely used catchment scale measurement in mod
elling studies, and we have a reasonable degree of confidence in its accura
cy. The advent of satellites gives access to a new suite of measurements ta
ken over a defined spatial range. These measurements, principally reflected
or emitted radiation, provide hydrologists with new possibilities for quan
tifying the state of a catchment. Surface temperatures can be readily measu
red by a satellite on a scale comparable to the size of a small catchment.
In this paper we show that satellite sensed temperatures can provide an imp
ortant measure of catchment status, which can complement runoff measurement
s in water balance studies. A one-dimensional model, which couples the land
surface energy balance with the soil and surface water balance is tested b
y comparison with runoff and with remotely sensed surface temperature measu
rements. Simulations have been run over four years for two small catchments
which have a fairly homogeneous vegetation, one being forest and its neigh
bour pasture. Satellite "surface" temperatures have been interpreted in ter
ms of the energy balance, and used as a test of modelling accuracy. An "eff
ective" surface temperature is calculated as a weighted mean of temperature
s of the separate soil and leaf surfaces. This modelled "effective" tempera
ture correlates well with Landsat TM surface temperatures.
When pasture replaces forest, the model predicts a reduction in evapotransp
iration of around 30%, a three-fold increase in runoff, and an increase in
mean soil moisture status. The change to pasture also results in a rise in
mean effective surface temperature of about 4 degrees C, and an increase in
summer diurnal temperature range from 10 to 22 degrees C. The winter diurn
al temperature range is similar for both vegetation systems.
Inclusion of soil moisture variability in thermal properties results in an
increase in mean daily maximum temperature of about 2 degrees C in summer a
nd winter, without much change in daily minima. The daily mean temperature
is not significantly affected. (C) 1999 Elsevier Science B.V. All rights re
served.