Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden
Probabilistic seasonal forecasts are important for many water-intensive activities requiring long-term planning. Among the different techniques used for seasonal forecasting, the Ensemble Streamflow Prediction (ESP) approach has long been employed due to the singular dependence on past meteorologica...
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ftcopernicus:oai:publications.copernicus.org:hessd90427 2023-05-15T17:44:48+02:00 Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden Girons Lopez, Marc Crochemore, Louise Pechlivanidis, Ilias G. 2020-10-28 application/pdf https://doi.org/10.5194/hess-2020-542 https://hess.copernicus.org/preprints/hess-2020-542/ eng eng doi:10.5194/hess-2020-542 https://hess.copernicus.org/preprints/hess-2020-542/ eISSN: 1607-7938 Text 2020 ftcopernicus https://doi.org/10.5194/hess-2020-542 2020-11-02T17:22:14Z Probabilistic seasonal forecasts are important for many water-intensive activities requiring long-term planning. Among the different techniques used for seasonal forecasting, the Ensemble Streamflow Prediction (ESP) approach has long been employed due to the singular dependence on past meteorological records. The Swedish Meteorological and Hydrological Institute is currently extending the use of long-range forecasts within its operational warning service, which requires a thorough analysis of the suitability and applicability of different methods with the national S-HYPE hydrological model. To this end, we aim to evaluate the skill of ESP forecasts over 39,493 catchments in Sweden, understand their spatiotemporal patterns, and explore the main hydrological processes driving forecast skill. We found that ESP forecasts are generally skilful for most of the country up to 3 months into the future but that large spatiotemporal variations exist. Forecasts are most skilful during the winter months in northern Sweden, except for the highly-regulated hydropower-producing rivers. The relationships between forecast skill and 15 different hydrological signatures show that forecasts are most skilful for slowly-reacting, baseflow-dominated catchments and least skilful for flashy catchments. Finally, we show that forecast skill patterns can be spatially clustered in 7 unique regions with similar hydrological behaviour. Overall, these results contribute to identify in which areas, seasons, and how long into the future ESP hydrological forecasts provide an added value, not only for the national forecasting and warning service but, most importantly, to guide decision-making in critical services such as hydropower management and risk reduction. Text Northern Sweden Copernicus Publications: E-Journals |
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English |
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Probabilistic seasonal forecasts are important for many water-intensive activities requiring long-term planning. Among the different techniques used for seasonal forecasting, the Ensemble Streamflow Prediction (ESP) approach has long been employed due to the singular dependence on past meteorological records. The Swedish Meteorological and Hydrological Institute is currently extending the use of long-range forecasts within its operational warning service, which requires a thorough analysis of the suitability and applicability of different methods with the national S-HYPE hydrological model. To this end, we aim to evaluate the skill of ESP forecasts over 39,493 catchments in Sweden, understand their spatiotemporal patterns, and explore the main hydrological processes driving forecast skill. We found that ESP forecasts are generally skilful for most of the country up to 3 months into the future but that large spatiotemporal variations exist. Forecasts are most skilful during the winter months in northern Sweden, except for the highly-regulated hydropower-producing rivers. The relationships between forecast skill and 15 different hydrological signatures show that forecasts are most skilful for slowly-reacting, baseflow-dominated catchments and least skilful for flashy catchments. Finally, we show that forecast skill patterns can be spatially clustered in 7 unique regions with similar hydrological behaviour. Overall, these results contribute to identify in which areas, seasons, and how long into the future ESP hydrological forecasts provide an added value, not only for the national forecasting and warning service but, most importantly, to guide decision-making in critical services such as hydropower management and risk reduction. |
format |
Text |
author |
Girons Lopez, Marc Crochemore, Louise Pechlivanidis, Ilias G. |
spellingShingle |
Girons Lopez, Marc Crochemore, Louise Pechlivanidis, Ilias G. Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden |
author_facet |
Girons Lopez, Marc Crochemore, Louise Pechlivanidis, Ilias G. |
author_sort |
Girons Lopez, Marc |
title |
Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden |
title_short |
Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden |
title_full |
Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden |
title_fullStr |
Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden |
title_full_unstemmed |
Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden |
title_sort |
benchmarking an operational hydrological model for providing seasonal forecasts in sweden |
publishDate |
2020 |
url |
https://doi.org/10.5194/hess-2020-542 https://hess.copernicus.org/preprints/hess-2020-542/ |
genre |
Northern Sweden |
genre_facet |
Northern Sweden |
op_source |
eISSN: 1607-7938 |
op_relation |
doi:10.5194/hess-2020-542 https://hess.copernicus.org/preprints/hess-2020-542/ |
op_doi |
https://doi.org/10.5194/hess-2020-542 |
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1766147097099239424 |