Exploring the Use of European Weather Regimes for Improving User-Relevant Hydrological Forecasts at the Subseasonal Scale in Switzerland ...
Across the globe, there has been an increasing interest in improving the predictability of subseasonal hydrometeorological 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/10.5445/ir/1000163785 https://publikationen.bibliothek.kit.edu/1000163785 |
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ftdatacite:10.5445/ir/1000163785 2024-02-04T10:02:36+01:00 Exploring the Use of European Weather Regimes for Improving User-Relevant Hydrological Forecasts at the Subseasonal Scale in Switzerland ... Chang, Annie Y.-Y. Bogner, Konrad Grams, Christian M. Monhart, Samuel Domeisen, Daniela I. V. Zappa, Massimiliano 2023 PDF https://dx.doi.org/10.5445/ir/1000163785 https://publikationen.bibliothek.kit.edu/1000163785 en eng American Meteorological Society Creative Commons Namensnennung 4.0 International Open Access info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/deed.de Climate classification/regimes Hydrology Operational forecasting Machine learning Ensembles ScholarlyArticle Text Journal Article article-journal 2023 ftdatacite https://doi.org/10.5445/ir/1000163785 2024-01-05T02:12:40Z Across the globe, there has been an increasing interest in improving the predictability of subseasonal hydrometeorological 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 postprocessing techniques at the interface with a Precipitationn–Runoff–Evapotranspiration Hydrological Response Unit Model (PREVAH). Specifically, this research aims to assess the benefit of European weather regime (WR) data within a hybrid forecasting setup, a combination of a traditional hydrological model and a machine learning (ML) algorithm, to improve the performance of subseasonal hydrometeorological forecasts in Switzerland. The WR data contain information about the large-scale atmospheric circulation in the North Atlantic–European region, and ... 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 I. V. Zappa, Massimiliano Exploring the Use of European Weather Regimes for Improving User-Relevant Hydrological Forecasts at the Subseasonal 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 subseasonal hydrometeorological 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 postprocessing techniques at the interface with a Precipitationn–Runoff–Evapotranspiration Hydrological Response Unit Model (PREVAH). Specifically, this research aims to assess the benefit of European weather regime (WR) data within a hybrid forecasting setup, a combination of a traditional hydrological model and a machine learning (ML) algorithm, to improve the performance of subseasonal hydrometeorological forecasts in Switzerland. The WR data contain information about the large-scale atmospheric circulation in the North Atlantic–European region, and ... |
format |
Article in Journal/Newspaper |
author |
Chang, Annie Y.-Y. Bogner, Konrad Grams, Christian M. Monhart, Samuel Domeisen, Daniela I. V. Zappa, Massimiliano |
author_facet |
Chang, Annie Y.-Y. Bogner, Konrad Grams, Christian M. Monhart, Samuel Domeisen, Daniela I. V. Zappa, Massimiliano |
author_sort |
Chang, Annie Y.-Y. |
title |
Exploring the Use of European Weather Regimes for Improving User-Relevant Hydrological Forecasts at the Subseasonal Scale in Switzerland ... |
title_short |
Exploring the Use of European Weather Regimes for Improving User-Relevant Hydrological Forecasts at the Subseasonal Scale in Switzerland ... |
title_full |
Exploring the Use of European Weather Regimes for Improving User-Relevant Hydrological Forecasts at the Subseasonal Scale in Switzerland ... |
title_fullStr |
Exploring the Use of European Weather Regimes for Improving User-Relevant Hydrological Forecasts at the Subseasonal Scale in Switzerland ... |
title_full_unstemmed |
Exploring the Use of European Weather Regimes for Improving User-Relevant Hydrological Forecasts at the Subseasonal Scale in Switzerland ... |
title_sort |
exploring the use of european weather regimes for improving user-relevant hydrological forecasts at the subseasonal scale in switzerland ... |
publisher |
American Meteorological Society |
publishDate |
2023 |
url |
https://dx.doi.org/10.5445/ir/1000163785 https://publikationen.bibliothek.kit.edu/1000163785 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_rights |
Creative Commons Namensnennung 4.0 International Open Access info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/deed.de |
op_doi |
https://doi.org/10.5445/ir/1000163785 |
_version_ |
1789969405484990464 |