Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 494822
Title Seasonal and regional patterns in performance for a Baltic Sea Drainage Basin hydrologic model
Author(s) Lyon, S.W.; Meidani, Roya; Velde, Ype van der; Dahlke, H.E.; Swaney, D.P.; Mörth, Carl Magnus; Humborg, Christoph
Source Journal of the American Water Resources Association 51 (2015)2. - ISSN 1093-474X - p. 550 - 566.
DOI https://doi.org/10.1111/jawr.12268
Department(s) Soil Geography and Landscape
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2015
Keyword(s) Baltic NEST - Baltic Sea drainage basin - Generalized watershed loading function (GWLF) - Hydrological modeling
Abstract

This study evaluates the ability of the Catchment SIMulation (CSIM) hydrologic model to describe seasonal and regional variations in river discharge over the entire Baltic Sea drainage basin (BSDB) based on 31 years of monthly simulation from 1970 through 2000. To date, the model has been successfully applied to simulate annual fluxes of water from the catchments draining into the Baltic Sea. Here, we consider spatiotemporal bias in the distribution of monthly modeling errors across the BSDB since it could potentially reduce the fidelity of predictions and negatively affect the design and implementation of land-management strategies. Within the period considered, the CSIM model accurately reproduced the annual flows across the BSDB; however, it tended to underpredict the proportion of discharge during high-flow periods (i.e., spring months) and overpredict during the summer low flow periods. While the general overpredictions during summer periods are spread across all the subbasins of the BSDB, the underprediction during spring periods is seen largely in the northern regions. By implementing a genetic algorithm calibration procedure and/or seasonal parameterization of subsurface water flows for a subset of the catchments modeled, we demonstrate that it is possible to improve the model performance albeit at the cost of increased parameterization and potential loss of parsimony.

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