Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Water and nutrient simulations using the HYPE model for Sweden vs. the Baltic Sea basin - influence of input-data quality and scale
SMHI, Research Department, Hydrology.ORCID iD: 0000-0001-8314-0735
SMHI, Professional Services.
SMHI, Research Department, Hydrology.ORCID iD: 0000-0002-0086-4453
SMHI, Research Department, Hydrology.
Show others and affiliations
2012 (English)In: HYDROLOGY RESEARCH, ISSN 1998-9563, Vol. 43, no 4, p. 315-329Article in journal (Refereed) Published
Abstract [en]

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 <10% for S-HYPE and <25% 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.

Place, publisher, year, edition, pages
2012. Vol. 43, no 4, p. 315-329
Keywords [en]
evaluation, large-scale, multi-basins, modelling, nutrients, water
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
URN: urn:nbn:se:smhi:diva-482DOI: 10.2166/nh.2012.010ISI: 000306235400002OAI: oai:DiVA.org:smhi-482DiVA, id: diva2:805291
Available from: 2015-04-15 Created: 2015-04-14 Last updated: 2025-06-12Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Arheimer, BeritDahne, JoelDonnelly, ChantalLindström, GöranStrömqvist, Johan

Search in DiVA

By author/editor
Arheimer, BeritDahne, JoelDonnelly, ChantalLindström, GöranStrömqvist, Johan
By organisation
HydrologyProfessional Services
Oceanography, Hydrology and Water Resources

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 839 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf