ORCID Profile
0000-0001-8314-0735
Current Organisation
Swedish Meteorological and Hydrological Institute
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Publisher: Elsevier BV
Date: 09-2020
Publisher: Informa UK Limited
Date: 21-10-2022
Publisher: Wiley
Date: 06-04-2017
DOI: 10.1002/MET.1654
Publisher: Informa UK Limited
Date: 02-07-2019
Publisher: Informa UK Limited
Date: 14-12-2015
Publisher: Springer Science and Business Media LLC
Date: 28-08-2012
Publisher: Informa UK Limited
Date: 22-03-2018
Publisher: MDPI AG
Date: 24-08-2016
DOI: 10.3390/CLI4030039
Publisher: IWA Publishing
Date: 31-01-2012
DOI: 10.2166/NH.2012.010
Abstract: Water resource management is often based on numerical models, and large-scale models are sometimes used for international strategic agreements. Sometimes the modelled area entails several political entities and river basins. To avoid methodological bias in results, methods and databases should be homogenous across political and geophysical boundaries, but this may involve fewer details and more assumptions. This paper quantifies the uncertainty when the same model code is applied using two different input datasets a more detailed one for the country of Sweden (S-HYPE) and a more general one for the entire Baltic Sea basin (Balt-HYPE). Results from the two model applications were compared for the Swedish landmass and for two specific Swedish river basins. The results show that both model applications may be useful in providing spatial information of water and nutrients at various scales. For water discharge, most relative errors are & % for S-HYPE and & % for Balt-HYPE. Both applications reproduced the most mean concentration for nitrogen within 25% of the observed mean values, but phosphorus showed a larger scatter. Differences in model set-up were reflected in the simulation of both spatial and temporal dynamics. The most sensitive data were precipitation/temperature, agriculture and model parameter values.
Publisher: Informa UK Limited
Date: 05-07-2013
Publisher: Informa UK Limited
Date: 14-06-2013
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: American Geophysical Union (AGU)
Date: 12-2015
DOI: 10.1002/2015WR017498
Publisher: Elsevier BV
Date: 06-2016
Publisher: Informa UK Limited
Date: 02-2012
Publisher: Springer Science and Business Media LLC
Date: 05-07-2017
DOI: 10.1038/S41467-017-00092-8
Abstract: River flow is mainly controlled by climate, physiography and regulations, but their relative importance over large landmasses is poorly understood. Here we show from computational modelling that hydropower regulation is a key driver of flow regime change in snow-dominated regions and is more important than future climate changes. This implies that climate adaptation needs to include regulation schemes. The natural river regime in snowy regions has low flow when snow is stored and a pronounced peak flow when snow is melting. Global warming and hydropower regulation change this temporal pattern similarly, causing less difference in river flow between seasons. We conclude that in snow-fed rivers globally, the future climate change impact on flow regime is minor compared to regulation downstream of large reservoirs, and of similar magnitude over large landmasses. Our study not only highlights the impact of hydropower production but also that river regulation could be turned into a measure for climate adaptation to maintain bio ersity on floodplains under climate change.
Publisher: Springer Science and Business Media LLC
Date: 12-01-2014
Location: Sweden
No related grants have been discovered for Berit Arheimer.