Validation is a central issue to future model design in environmental science. This book is the first to provide a critical appraisal of today's validation needs, capabilities, and required changes in philosophy. It takes examples from four different scales: hillslope and river channel, catchment, regional, and global.
This timely book offers unique, multifaceted coverage of model validation in hydrological science today. Topics covered include calibration procedures, data assimilation, scaling, critical future need in validation, and evidence of field data.
* State-of-the-art research book on an important new topic
* End-of-section discussion chapters written by leading international researchers
"synopsis" may belong to another edition of this title.
Malcolm G. Anderson, is founder and Editor-in-Chief of Hydrological Processes, the international research journal published by Wiley. Professor Anderson has longstanding research interests in the fields of numerical hydrology and geotechnical model development for landslide prediction. He has held full year appointments as a Senior Research Hydrologist, for the U.S. Corps Engineers Waterways Experiment Station, USA and the Geotechnical Control Office, Hong Kong.
Model Validation is a fundamental issue in modern hydrological science where increased demands for prediction and process understanding has been driven by advances in numerical modelling and environmental legislation. Model Validation: Perspectives in Hydrological Science is the first book to deal with this subject in hydrology and environmental science, as well as in other fields.
Model Validation brings together philosophers, modellers and legal experts to comment on model validation issues and gives an evaluation of how we interpret scientific evidence drived from numerical models. It shows how much issues underpin research across the discipline of hydrological science, and also in legal and philosophical frameworks, by addressing major questions concerning acceptable levels of proof in the area. This book will contribute to research within the discipline, in addition to interdisciplinary studies in environmental science and to the wider debate over the nature of scientific prediction.
This is essential reading for academic researchers, policy makers, and legal experts across the spectrum of environmental science, and of great use for 3rd year undergraduate and postgraduate courses.
Model Validation is a fundamental issue in modern hydrological science where increased demands for prediction and process understanding has been driven by advances in numerical modelling and environmental legislation. Model Validation: Perspectives in Hydrological Science is the first book to deal with this subject in hydrology and environmental science, as well as in other fields.
Model Validation brings together philosophers, modellers and legal experts to comment on model validation issues and gives an evaluation of how we interpret scientific evidence drived from numerical models. It shows how much issues underpin research across the discipline of hydrological science, and also in legal and philosophical frameworks, by addressing major questions concerning acceptable levels of proof in the area. This book will contribute to research within the discipline, in addition to interdisciplinary studies in environmental science and to the wider debate over the nature of scientific prediction.
This is essential reading for academic researchers, policy makers, and legal experts across the spectrum of environmental science, and of great use for 3rd year undergraduate and postgraduate courses.
"About this title" may belong to another edition of this title.
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