Integrating Multiple Sources of Information for Improving Hydrological Modelling: an Ensemble Approach

Author:   Isnaeni Murdi Hartanto (IHE Institute for Water Education, Delft, The Netherlands)
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367265434


Pages:   176
Publication Date:   01 May 2019
Format:   Paperback
Availability:   In Print   Availability explained
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Integrating Multiple Sources of Information for Improving Hydrological Modelling: an Ensemble Approach


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Author:   Isnaeni Murdi Hartanto (IHE Institute for Water Education, Delft, The Netherlands)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.363kg
ISBN:  

9780367265434


ISBN 10:   0367265435
Pages:   176
Publication Date:   01 May 2019
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1 Introduction 2 Literature review 3 Methodological framework 4 Case study and data sources 5 Model development 6 Data-model integration 7 Multi-model ensemble 8 Towards implementation in operational systems 9 Conclusions and recommendations

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Author Information

Isnaeni Murdi Hartanto was born in Kendal, Central Java Province, Indonesia, currently working in Directorate General of Water Resources in Ministry of Public Works of Indonesia. He started this research out of curiosity in availability of data from different sources with different estimates for the same hydrological model parameter. This book presents the integration framework to accommodate different data sources in hydrological modelling, hence, valuable information from each source can be retained. This research relies on data processing, model runs, hydroinformatics, high computing power, and complex programming scripts, which are all part of the interests of the author.

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