Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 8
Articles | Volume 14, issue 8
https://doi.org/10.5194/gmd-14-5155-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-5155-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 8
Model description paper
 | 
18 Aug 2021
Model description paper |  | 18 Aug 2021

Hydrostreamer v1.0 – improved streamflow predictions for local applications from an ensemble of downscaled global runoff products

Marko Kallio, Joseph H. A. Guillaume, Vili Virkki, Matti Kummu, and Kirsi Virrantaus

Data sets

ISIMIP data PIK Potsdam https://esg.pik-potsdam.de/search/isimip/

MERIT_Basins data Terrestrial Hydrology Group, Princeton University http://hydrology.princeton.edu/data/mpan/MERIT_Basins/

GRADESdata Terrestrial Hydrology Group, Princeton University http://hydrology.princeton.edu/data/mpan/GRADES/

GloFAS data Copernicus Emergency Management Service (CEMS) https://cds.climate.copernicus.eu/cdsapp#!/dataset/cems-glofas-historical

HydroSHEDS data World Wildlife Fund https://hydrosheds.org/

Streamflow data Mekong River Commission Data Portal https://portal.mrcmekong.org

Model code and software

Hydrostreamer v1.0.1 Marko Kallio and Vili Virkki https://doi.org/10.5281/zenodo.4739223

mkkallio/GMD_hydrostreamer: GMD hydrostreamer manuscript code and part of the data (Version 1.0) M. Kallio https://doi.org/10.5281/zenodo.4739212

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Short summary
Different runoff and streamflow products are freely available but may come with unsuitable spatial units. On the other hand, starting a new modelling exercise may require considerable resources. Hydrostreamer improves the usability of existing runoff products, allowing runoff and streamflow estimates at the desired spatial units with minimal data requirements and intuitive workflow. The case study shows that Hydrostreamer performs well compared to benchmark products and observation data.
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