Description: Preface. 1: Introduction. 1.1. The problem of scale transfer. 1.2. Aims and scope. 1.3. Definitions. 1.4. Contents of this book. 2: Upscaling. 2.1. A classification of upscaling methods. 2.2. Averaging of observations or output variables. 2.3. Finding representative parameters or input variables. 2.4. Averaging of model equations. 2.5. Model simplification. 3: Downscaling. 3.1. A classification of downscaling methods. 3.2. Empirical functions. 3.3. Mechanistic models. 3.4. Fine scale auxiliary information. 4: A simple DSS for upscaling and downscaling. 4.1. Purpose and philosophy of the DSS. 4.2. Functionality and options at startup. 4.3. Definition of the research chain over the scales. 4.4. Enter the DSS from the research chain. 4.5. DSS upscaling and downscaling. Appendix: Random Variables and Stochastic Functions. Glossary. References. Index.

Please Wait