Hydrological Data Driven Modelling A Case Study Approach
This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation
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Renji Remesan Jimson Mathew
Hydrological Data Driven Modelling A Case Study Approach
Earth Systems Data and Models Volume 1
Series editors Bernd Blasius, Carl von Ossietzky University Oldenburg, Oldenburg, Germany William A. Lahoz, NILU—Norwegian Institute for Air Research, Kjeller, Norway Dimitri Solomatine, UNESCO—IHE Institute for Water Education, Delft, The Netherlands
Aims and Scope The book series Earth Systems Data and Models publishes state-of-the-art research and technologies aimed at understanding processes and interactions in the earth system. A special emphasis is given to theory, methods, and tools used in earth, planetary and environmental sciences for: modeling, observation and analysis; data generation, assimilation and visualization; forecasting and simulation; and optimization. Topics in the series include but are not limited to: numerical, datadriven and agent-based modeling of the earth system; uncertainty analysis of models; geodynamic simulations, climate change, weather forecasting, hydroinformatics, and complex ecological models; model evaluation for decision-making processes and other earth science applications; and remote sensing and GIS technology. The series publishes monographs, edited volumes and selected conference proceedings addressing an interdisciplinary audience, which not only includes geologists, hydrologists, meteorologists, chemists, biologists and ecologists but also physicists, engineers and applied mathematicians, as well as policy makers who use model outputs as the basis of decision-making processes.
More information about this series at http://www.springer.com/series/10525
Renji Remesan Jimson Mathew •
Hydrological Data Driven Modelling A Case Study Approach
123
Jimson Mathew Department of Computer Science University of Bristol Bristol UK
Renji Remesan Cranfield Water Science Institute Cranfield University Cranfield, Bedfordshire UK
ISBN 978-3-319-09234-8 DOI 10.1007/978-3-319-09235-5
ISBN 978-3-319-09235-5
(eBook)
Library of Congress Control Number: 2014947392 Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2015 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use mus
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