Articles | Volume 22, issue 9
https://doi.org/10.5194/hess-22-4685-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-4685-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Global re-analysis datasets to improve hydrological assessment and snow water equivalent estimation in a sub-Arctic watershed
IHE Delft Institute of Water Education, Hydroinformatics Chair Group, P.O. Box 3015, 2601 DA, Delft, the Netherlands
Deltares, Operational Water Management, P.O. Box 177, 2600 MH, Delft, the Netherlands
Micha Werner
IHE Delft Institute of Water Education, Hydroinformatics Chair Group, P.O. Box 3015, 2601 DA, Delft, the Netherlands
Deltares, Operational Water Management, P.O. Box 177, 2600 MH, Delft, the Netherlands
Albrecht Weerts
Deltares, Operational Water Management, P.O. Box 177, 2600 MH, Delft, the Netherlands
Wageningen University and Research, Hydrology and Quantitative Water Management group, P.O. Box 47, 6700 AA, Wageningen, the Netherlands
Dimitri Solomatine
IHE Delft Institute of Water Education, Hydroinformatics Chair Group, P.O. Box 3015, 2601 DA, Delft, the Netherlands
Delft University of Technology, Water Resources Section, P.O. Box 5048, 2600 GA, Delft, the Netherlands
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Latest update: 23 Nov 2024
Short summary
In high-latitude (> 60° N) watersheds, measuring the snowpack and predicting of snowmelt runoff are uncertain due to the lack of data and complex physical processes. This provides challenges for hydrological assessment and operational water management. Global re-analysis datasets have great potential to aid in snowpack representation and snowmelt prediction when combined with a distributed hydrological model, though they still have clear limitations in remote boreal forest and tundra environments.
In high-latitude ( 60° N) watersheds, measuring the snowpack and predicting of snowmelt runoff...