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.
Original language | English |
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Title of host publication | Proceedings of the HIC 2014 - 11th international conference on hydroinformatics |
Editors | M Piasecki |
Pages | 1540-1547 |
Publication status | Published - 2014 |
Event | 11th International Conference on Hydroinformatics - New York, United States Duration: 17 Aug 2014 → 21 Aug 2014 Conference number: 11 http://academicworks.cuny.edu/cc_conf_hic/ |
Publication series
Name | |
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Publisher | s.n. |
Conference
Conference | 11th International Conference on Hydroinformatics |
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Abbreviated title | HIC 2014 |
Country/Territory | United States |
City | New York |
Period | 17/08/14 → 21/08/14 |
Internet address |