Articles | Volume 14, issue 8
Geosci. Model Dev., 14, 5155–5181, 2021
https://doi.org/10.5194/gmd-14-5155-2021
Geosci. Model Dev., 14, 5155–5181, 2021
https://doi.org/10.5194/gmd-14-5155-2021

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 et al.

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.