Exploring the use of European weather regimes for improving user-relevant hydrological forecasts at the sub-seasonal scale in Switzerland ...
Across the globe, there has been an increasing interest in improving the predictability of sub-seasonal hydro-meteorological forecasts as they play a valuable role in medium- to long-term planning in many sectors such as agriculture, navigation, hydropower, and emergency management. However, these f...
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Online Access: | https://dx.doi.org/10.3929/ethz-b-000622008 http://hdl.handle.net/20.500.11850/622008 |
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ftdatacite:10.3929/ethz-b-000622008 2024-04-28T08:30:38+00:00 Exploring the use of European weather regimes for improving user-relevant hydrological forecasts at the sub-seasonal scale in Switzerland ... Chang, Annie Y.-Y. Bogner, Konrad Grams, Christian M. Monhart, Samuel Domeisen, Daniela Zappa, Massimiliano 2023 application/pdf https://dx.doi.org/10.3929/ethz-b-000622008 http://hdl.handle.net/20.500.11850/622008 en eng ETH Zurich Climate classification/regimes Hydrology Operational forecasting Machine learning Ensembles article-journal Text ScholarlyArticle Journal Article 2023 ftdatacite https://doi.org/10.3929/ethz-b-000622008 2024-04-02T12:32:08Z Across the globe, there has been an increasing interest in improving the predictability of sub-seasonal hydro-meteorological forecasts as they play a valuable role in medium- to long-term planning in many sectors such as agriculture, navigation, hydropower, and emergency management. However, these forecasts still have very limited skill at the monthly time scale; hence this study explores the possibilities for improving forecasts through different pre- and post-processing techniques at the interface with a hydrological model (PREVAH). Specifically, this research aims to assess the benefit from European Weather Regime (WR) data into a hybrid forecasting setup, a combination of a traditional hydrological model and a machine learning (ML) algorithm, to improve the performance of sub-seasonal hydro-meteorological forecasts in Switzerland. The WR data contains information about the large-scale atmospheric circulation in the North-Atlantic European region, and thus allows the hydrological model to exploit ... : Journal of Hydrometeorology, 24 (10) ... Article in Journal/Newspaper North Atlantic DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Climate classification/regimes Hydrology Operational forecasting Machine learning Ensembles |
spellingShingle |
Climate classification/regimes Hydrology Operational forecasting Machine learning Ensembles Chang, Annie Y.-Y. Bogner, Konrad Grams, Christian M. Monhart, Samuel Domeisen, Daniela Zappa, Massimiliano Exploring the use of European weather regimes for improving user-relevant hydrological forecasts at the sub-seasonal scale in Switzerland ... |
topic_facet |
Climate classification/regimes Hydrology Operational forecasting Machine learning Ensembles |
description |
Across the globe, there has been an increasing interest in improving the predictability of sub-seasonal hydro-meteorological forecasts as they play a valuable role in medium- to long-term planning in many sectors such as agriculture, navigation, hydropower, and emergency management. However, these forecasts still have very limited skill at the monthly time scale; hence this study explores the possibilities for improving forecasts through different pre- and post-processing techniques at the interface with a hydrological model (PREVAH). Specifically, this research aims to assess the benefit from European Weather Regime (WR) data into a hybrid forecasting setup, a combination of a traditional hydrological model and a machine learning (ML) algorithm, to improve the performance of sub-seasonal hydro-meteorological forecasts in Switzerland. The WR data contains information about the large-scale atmospheric circulation in the North-Atlantic European region, and thus allows the hydrological model to exploit ... : Journal of Hydrometeorology, 24 (10) ... |
format |
Article in Journal/Newspaper |
author |
Chang, Annie Y.-Y. Bogner, Konrad Grams, Christian M. Monhart, Samuel Domeisen, Daniela Zappa, Massimiliano |
author_facet |
Chang, Annie Y.-Y. Bogner, Konrad Grams, Christian M. Monhart, Samuel Domeisen, Daniela Zappa, Massimiliano |
author_sort |
Chang, Annie Y.-Y. |
title |
Exploring the use of European weather regimes for improving user-relevant hydrological forecasts at the sub-seasonal scale in Switzerland ... |
title_short |
Exploring the use of European weather regimes for improving user-relevant hydrological forecasts at the sub-seasonal scale in Switzerland ... |
title_full |
Exploring the use of European weather regimes for improving user-relevant hydrological forecasts at the sub-seasonal scale in Switzerland ... |
title_fullStr |
Exploring the use of European weather regimes for improving user-relevant hydrological forecasts at the sub-seasonal scale in Switzerland ... |
title_full_unstemmed |
Exploring the use of European weather regimes for improving user-relevant hydrological forecasts at the sub-seasonal scale in Switzerland ... |
title_sort |
exploring the use of european weather regimes for improving user-relevant hydrological forecasts at the sub-seasonal scale in switzerland ... |
publisher |
ETH Zurich |
publishDate |
2023 |
url |
https://dx.doi.org/10.3929/ethz-b-000622008 http://hdl.handle.net/20.500.11850/622008 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_doi |
https://doi.org/10.3929/ethz-b-000622008 |
_version_ |
1797588437184806912 |