In a recent investigation by Musuuza et al. (2020), SMHI researchers demonstrate how earth observations (EO) can fill the spatial and temporal gaps in ground-based observations, whilst satellite assimilation produced consistent hydrological model outputs in a mountainous river basin in Sweden.

This study highlights a very wide range of EO data possibilities for example in regions with sparse to non-existent observation networks, which undoubtedly is one of the challenges in continental and global scale modeling.

Insights of EO added value will feed the e-shape pilot "Improved historical water availability and quality information service" under the Water resources management showcase, allowing the detection of key EO products for regional and global applications.

This is of practical importance since large sums of money can potentially be gain when water managers based their decision on updated EO-tailored hydrological information. "

Musuuza, J. L., Gustafsson, D., Pimentel, R., Crochemore, L., & Pechlivanidis, I. (2020). Impact of Satellite and in Situ Data Assimilation on Hydrological Predictions. Remote Sensing, 12(5), 811.(pdf)

Pilot 5.1