Print Email Facebook Twitter Ensemble Simulation From Multiple Data Sources In A Spatially Distributed Hydrological Model Of The Rijnland Water System In The Netherlands Title Ensemble Simulation From Multiple Data Sources In A Spatially Distributed Hydrological Model Of The Rijnland Water System In The Netherlands Author Hartanto, I.M. (IHE Delft Institute for Water Education) Andel, Schalk Jan Van (IHE Delft Institute for Water Education) Alexandridis, T.K. (Aristotle University of Thessaloniki) Solomatine, D.P. (TU Delft Water Resources; IHE Delft Institute for Water Education) Contributor Piasecki, M (editor) Date 2014 Abstract Data for water management is increasingly easy to access, it has finer spatial and temporal resolution, and it is available from various sources. Precipitation data can be obtained from meteorological stations, radar, satellites and weather models. Land use data is also available from different satellite products and different providers. The various sources of data may confirm each other or give very different values in space and time. However, from these various data sources, it can often not be judged beforehand that one data is correct and others are wrong. Each source has its own value for a particular purpose. The Rijnland area in the Netherlands is one of the areas for which various data sources are available. Data sources that are researched in this paper are precipitation from rain gauges and radar, and three different land use maps. Various sources of data are used as input to the hydrological model (SIMGRO) of the water system to produce different discharge model output. Each run provides a member of the ensemble simulation which are combined to improve prediction of discharge from the catchment. It is shown that even simple averaging allows for increasing the model accuracy. To reference this document use: http://resolver.tudelft.nl/uuid:ecbd32b3-b2d6-43e7-ad17-5d8da116fc82 ISBN 978-1-5108-0039-7 Source Proceedings of the HIC 2014 - 11th international conference on hydroinformatics Event 11th International Conference on Hydroinformatics, 2014-08-17 → 2014-08-21, New York, United States Part of collection Institutional Repository Document type conference paper Rights © 2014 I.M. Hartanto, Schalk Jan Van Andel, T.K. Alexandridis, D.P. Solomatine Files PDF viewcontent.cgi10.pdf 589.19 KB Close viewer /islandora/object/uuid:ecbd32b3-b2d6-43e7-ad17-5d8da116fc82/datastream/OBJ/view