High-Resolution Decadal Drought Predictions for German Water Boards: A Case Study for the Wupper Catchment
Water boards in Germany require decadal predictions to develop optimized management and adaptation strategies, especially within the claims of flood protection and water distribution management. Specifically, the Wupper catchment water board in western Germany is interested in decadal predictions of...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-07-01
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| Series: | Frontiers in Climate |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fclim.2022.867814/full |
| _version_ | 1818509565000417280 |
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| author | Andreas Paxian Katja Reinhardt Klaus Pankatz Alexander Pasternack Maria Paula Lorza-Villegas Marc Scheibel Amelie Hoff Birgit Mannig Philip Lorenz Barbara Früh |
| author_facet | Andreas Paxian Katja Reinhardt Klaus Pankatz Alexander Pasternack Maria Paula Lorza-Villegas Marc Scheibel Amelie Hoff Birgit Mannig Philip Lorenz Barbara Früh |
| author_sort | Andreas Paxian |
| collection | DOAJ |
| description | Water boards in Germany require decadal predictions to develop optimized management and adaptation strategies, especially within the claims of flood protection and water distribution management. Specifically, the Wupper catchment water board in western Germany is interested in decadal predictions of drought indices, which are correlated to dam water levels. For the management of small catchments, they need multi-year means and multi-year seasonal means of the hydrological seasons for forecast years 1–3 at high spatial resolution. Thus, the MPI-ESM-LR global decadal prediction system with 16 ensemble members at 200 km resolution was statistically downscaled with EPISODES to ~11 km in Germany. Simulated precipitation was recalibrated, correcting model errors and adjusting the ensemble spread. We tested different recalibration settings to optimize the skill. The 3-year mean and 3-year seasonal mean SPI (Standardized Precipitation Index), indicating excess or deficit of precipitation, was calculated. We evaluated the prediction skill with HYRAS observations, applying skill scores and correlation coefficients, and tested the significance of the skill at a 95% level via 1,000 bootstraps. We found that the high-resolution statistical downscaling is able to preserve the skill of the global decadal predictions and that the recalibration can clearly improve the precipitation skill in Germany. Multi-year annual and August–October mean SPI predictions are promising for several regions in Germany. Additionally, there is potential for skill improvement with increasing ensemble size for all temporal aggregations, except for November–January. A user-oriented product sheet was developed and published on the Copernicus Climate Change Service website (https://climate.copernicus.eu/decadal-predictions-infrastructure). It provides 3-year mean probabilistic SPI predictions for the Wupper catchment and north-western Germany. For 2021–2023, a high probability of negative SPI (dry conditions) is predicted in most of the area. The decadal prediction skill is higher than using the observed climatology as reference prediction in several parts of the area. This case study was developed in cooperation with the Wupper catchment water board and discussed with further German water managers: The skill of high-resolution decadal drought predictions is considered to be promising to fulfill their needs. The product sheet is understandable, well-structured and can be applied to their working routines. |
| first_indexed | 2024-12-10T22:47:12Z |
| format | Article |
| id | doaj.art-b3eba5027e6e475cb249dc0f2d54c52a |
| institution | Directory Open Access Journal |
| issn | 2624-9553 |
| language | English |
| last_indexed | 2024-12-10T22:47:12Z |
| publishDate | 2022-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Climate |
| spelling | doaj.art-b3eba5027e6e475cb249dc0f2d54c52a2022-12-22T01:30:33ZengFrontiers Media S.A.Frontiers in Climate2624-95532022-07-01410.3389/fclim.2022.867814867814High-Resolution Decadal Drought Predictions for German Water Boards: A Case Study for the Wupper CatchmentAndreas Paxian0Katja Reinhardt1Klaus Pankatz2Alexander Pasternack3Maria Paula Lorza-Villegas4Marc Scheibel5Amelie Hoff6Birgit Mannig7Philip Lorenz8Barbara Früh9Department Climate and Environmental Consultancy, Deutscher Wetterdienst, Offenbach am Main, GermanyDepartment Climate and Environmental Consultancy, Deutscher Wetterdienst, Offenbach am Main, GermanyDepartment Climate and Environmental Consultancy, Deutscher Wetterdienst, Offenbach am Main, GermanyInstitute of Meteorology, Freie Universität Berlin, Berlin, GermanyWater Management and Flood Protection, Wupperverband, Wuppertal, GermanyWater Management and Flood Protection, Wupperverband, Wuppertal, GermanyDepartment Climate and Environmental Consultancy, Deutscher Wetterdienst, Offenbach am Main, GermanyDepartment Climate and Environmental Consultancy, Deutscher Wetterdienst, Offenbach am Main, GermanyDepartment Climate and Environmental Consultancy, Deutscher Wetterdienst, Offenbach am Main, GermanyDepartment Climate and Environmental Consultancy, Deutscher Wetterdienst, Offenbach am Main, GermanyWater boards in Germany require decadal predictions to develop optimized management and adaptation strategies, especially within the claims of flood protection and water distribution management. Specifically, the Wupper catchment water board in western Germany is interested in decadal predictions of drought indices, which are correlated to dam water levels. For the management of small catchments, they need multi-year means and multi-year seasonal means of the hydrological seasons for forecast years 1–3 at high spatial resolution. Thus, the MPI-ESM-LR global decadal prediction system with 16 ensemble members at 200 km resolution was statistically downscaled with EPISODES to ~11 km in Germany. Simulated precipitation was recalibrated, correcting model errors and adjusting the ensemble spread. We tested different recalibration settings to optimize the skill. The 3-year mean and 3-year seasonal mean SPI (Standardized Precipitation Index), indicating excess or deficit of precipitation, was calculated. We evaluated the prediction skill with HYRAS observations, applying skill scores and correlation coefficients, and tested the significance of the skill at a 95% level via 1,000 bootstraps. We found that the high-resolution statistical downscaling is able to preserve the skill of the global decadal predictions and that the recalibration can clearly improve the precipitation skill in Germany. Multi-year annual and August–October mean SPI predictions are promising for several regions in Germany. Additionally, there is potential for skill improvement with increasing ensemble size for all temporal aggregations, except for November–January. A user-oriented product sheet was developed and published on the Copernicus Climate Change Service website (https://climate.copernicus.eu/decadal-predictions-infrastructure). It provides 3-year mean probabilistic SPI predictions for the Wupper catchment and north-western Germany. For 2021–2023, a high probability of negative SPI (dry conditions) is predicted in most of the area. The decadal prediction skill is higher than using the observed climatology as reference prediction in several parts of the area. This case study was developed in cooperation with the Wupper catchment water board and discussed with further German water managers: The skill of high-resolution decadal drought predictions is considered to be promising to fulfill their needs. The product sheet is understandable, well-structured and can be applied to their working routines.https://www.frontiersin.org/articles/10.3389/fclim.2022.867814/fulldecadal predictiondroughthigh resolutionstatistical downscalingrecalibrationwater management |
| spellingShingle | Andreas Paxian Katja Reinhardt Klaus Pankatz Alexander Pasternack Maria Paula Lorza-Villegas Marc Scheibel Amelie Hoff Birgit Mannig Philip Lorenz Barbara Früh High-Resolution Decadal Drought Predictions for German Water Boards: A Case Study for the Wupper Catchment Frontiers in Climate decadal prediction drought high resolution statistical downscaling recalibration water management |
| title | High-Resolution Decadal Drought Predictions for German Water Boards: A Case Study for the Wupper Catchment |
| title_full | High-Resolution Decadal Drought Predictions for German Water Boards: A Case Study for the Wupper Catchment |
| title_fullStr | High-Resolution Decadal Drought Predictions for German Water Boards: A Case Study for the Wupper Catchment |
| title_full_unstemmed | High-Resolution Decadal Drought Predictions for German Water Boards: A Case Study for the Wupper Catchment |
| title_short | High-Resolution Decadal Drought Predictions for German Water Boards: A Case Study for the Wupper Catchment |
| title_sort | high resolution decadal drought predictions for german water boards a case study for the wupper catchment |
| topic | decadal prediction drought high resolution statistical downscaling recalibration water management |
| url | https://www.frontiersin.org/articles/10.3389/fclim.2022.867814/full |
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