1st Edition
Integrating Multiple Sources of Information for Improving Hydrological Modelling: an Ensemble Approach
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
Biography
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.
