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General circulation models (GCMs) predict certain changes in the amounts and distribution of precipitation, but the conversion of these predictions of impacts on water resources presents novel problems in hydrologic modeling, particularly with regard to the scale of the processes involved. Therefore improved, distributed GCMs are required. New remote sensing technologies provide the necessary spatially distributed data. However, there are many attendant problems with the translation of remotely sensed signals into hydrologically relevant information. This book elucidates how to improve the representation of land surface hydrologic processes in GCMs and in regional and global scale climate studies. It is divided into five sections: Models and Data; Precipitation; Soil Moisture; Evapotranspiration; Runoff.
The purpose of the project was to study urban watersheds as a complex system. The approach was to use mathematical models that could adjust for the major causes of variation in the system. The models used had been developed earlier using hydrologic data obtained from rural watersheds. These models were designed to be used in planning and regionalized so that model parameters can be predicted based upon site characteristics and thus the models applied at ungaged sites. A goal of this project was to extend the capabilities of these hydrologic models to include the effects of urbanization and to include water quality as a component.