The most advanced and best performing large-scale HYPE model is encompassing the country of Sweden (S-HYPE), and it is used by the national warning service and the Swedish water authorities for ecological issues, in line with the EU Water Framework Directive. NOTE: the web interface is extensive and in Swedish.
A ‘large-scale hydrological model’ is a numerical code calculating water volume and fluxes over large geographical areas, which encompass many river basins, cross regional and international boundaries, and a number of different geophysical and climatic zones. ‘Multi-basin’ indicates that each geographical domain includes numerous coupled catchments and has a relatively high spatial resolution, although most basins are ungauged. The temporal resolution in the calculations is normally daily. Some brief characteristics of different model set-ups are given below.
World-Wide HYPE
| Draining to | Coast of all continents, except Antartica |
| Area (km2) | 135 million |
| Resolution (km2) | 1000 |
| Reference Period | 1981-2017 |
| No. Gauging sites | 11 500 |
| Water Quality | Not available |
EXPLORE : 1-10 DAY FORECAST | SEASONAL FORECASTS | CLIMATE CHANGE| MODEL PERFORMANCE
HOW TO CITE: Arheimer, B., Pimentel, R., Isberg, K., Crochemore, L., Andersson, J. C. M., Hasan, A., and Pineda, L. (2019): Global catchment modelling using World-Wide HYPE (WWH), open data and stepwise parameter estimation, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-111 (in review).
Europe HYPE
| Draining to | Coasts of continental Europe |
| Area (km2) | 8.8 million |
| Resolution (km2) | 215 |
| Reference Period | 1981-2013 |
| No. Gauging sites | 230 |
| Water Quality | Nutrients |
EXPLORE : HISTORICAL MEANS | HISTORICAL TIME SERIES |
1-10 DAY FORECAST | SEASONAL FORECASTS | CLIMATE CHANGE| MODEL PERFORMANCE
HOW TO CITE: Donnelly, C, Andersson, J.C.M. and Arheimer, B. (2016): Using flow signatures and catchment similarities to evaluate a multi-basin model (E-HYPE) across Europe. Hydr. Sciences Journal 61(2):255-273, doi: 10.1080/02626667.2015.1027710
Arctic HYPE
| Draining to | Arctic Basin |
| Area (km2) | 23 million |
| Resolution (km2) | 700 |
| Reference Period | 1980-2009 |
| No. Gauging sites | 1349 |
| Water Quality | Not available |
EXPLORE : HISTORICAL MEANS | HISTORICAL TIME SERIES | 1-10 DAY FORECAST | CLIMATE CHANGE| MODEL PERFORMANCE
Niger HYPE
| Draining to | Niger River |
| Area (km2) | 2.1 million |
| Resolution (km2) | 2619 |
| Reference Period | 1979-2005 |
| No. Gauging sites | 56 |
| Water Quality | Not available |
EXPLORE : HISTORICAL MEANS | HISTORICAL TIME SERIES | 1-10 DAY FORECAST | CLIMATE CHANGE| MODEL PERFORMANCE
HOW TO CITE: Andersson J.C.M., Arheimer B., Traoré F., Gustafsson D., Ali A. (2017): Process refinements improve a hydrological model concept pplied to the Niger River basin. Hydrological Processes pp.1-15. https://doi.org/10.1002/hyp.11376
India HYPE
| Draining to | Coasts of Indian sub-continent |
| Area (km2) | 4.9 million |
| Resolution (km2) | 810 |
| Reference Period | 1976-2005 |
| No. Gauging sites | 43 |
| Water Quality | Not available |
EXPLORE : HISTORICAL MEANS | HISTORICAL TIME SERIES | CLIMATE CHANGE| MODEL PERFORMANCE
HOW TO CITE: Pechlivanidis, I. G. and Arheimer, B. (2015): Large-scale hydrological modelling by using modified PUB recommendations: the India-HYPE case, Hydrol. Earth Syst. Sci., 19, 4559-4579, doi:10.5194/hess-19-4559-2015
La Plata HYPE
| Draining to | Rio de La Plata coast |
| Area (km2) | 3.1 million |
| Resolution (km2) | 215 |
| Reference Period | 1981-2013 |
| No. Gauging sites | 500 |
| Water Quality | Not available |
EXPLORE : HISTORICAL MEANS | HISTORICAL TIME SERIES | CLIMATE CHANGE| MODEL PERFORMANCE
All data in this water service is shared under license the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0).