Abstract
An important goal for hydrological research at SMHI in Sweden is large scale hydrological modelling. The goal of this work is to simulate hydrological conditions over large geographical areas, such as Europe and the Arctic region. Our most important tool is the HYPE model, which is designed to enable simulation over large areas. However, another important prerequisite for these large scale models is the availability of open data, which enables us to collect the information required for the model setup. In this paper we will give an overview over the work and focus on the aspects that make large scale modelling possible. In particular we will describe the HYPE model, the use of open data sources for modelling, how data is adapted to the models and how we feed results back to the community. In the end of the paper we give an overview of future perspectives and make an overview of the new EU project SWITCH-ON.
BYU ScholarsArchive Citation
Strömbäck, L.; Arheimer, B.; Lindström, G.; Donnelly, C.; Gustafsson, D.; Isberg, K.; Pechlivanidis, I.; Andersson, J.; and Pers, C.
(2013)
"The Importance of Open Data and Software for Large Scale Hydrological Modelling,"
Open Water Journal: Vol. 2:
Iss.
1, Article 32.
Available at:
https://scholarsarchive.byu.edu/openwater/vol2/iss1/32
