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High-Resolution Decadal Drought Predictions for German Water Boards: A Case Study for the Wupper Catchment

Authors
  • Paxian, Andreas1
  • Reinhardt, Katja1
  • Pankatz, Klaus1
  • Pasternack, Alexander2
  • Lorza-Villegas, Maria Paula3
  • Scheibel, Marc3
  • Hoff, Amelie1
  • Mannig, Birgit1
  • Lorenz, Philip1
  • Früh, Barbara1
  • 1 Department Climate and Environmental Consultancy, Deutscher Wetterdienst, Offenbach am Main , (Germany)
  • 2 Institute of Meteorology, Freie Universität Berlin, Berlin , (Germany)
  • 3 Water Management and Flood Protection, Wupperverband, Wuppertal , (Germany)
Type
Published Article
Journal
Frontiers in Climate
Publisher
Frontiers Media S.A.
Publication Date
Jul 19, 2022
Volume
4
Identifiers
DOI: 10.3389/fclim.2022.867814
Source
Frontiers
Keywords
Disciplines
  • Climate
  • Original Research
License
Green

Abstract

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.

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