Articles | Volume 13, issue 6
Earth Syst. Sci. Data, 13, 2701–2722, 2021
https://doi.org/10.5194/essd-13-2701-2021
Earth Syst. Sci. Data, 13, 2701–2722, 2021
https://doi.org/10.5194/essd-13-2701-2021

Data description paper 15 Jun 2021

Data description paper | 15 Jun 2021

Bias-corrected and spatially disaggregated seasonal forecasts: a long-term reference forecast product for the water sector in semi-arid regions

Christof Lorenz et al.

Data sets

Seasonal Water Resources Management for Semiarid Areas: Bias-corrected and spatially disaggregated seasonal forecasts for the Karun Basin (Iran) Christof Lorenz, Tanja Portele, Patrick Laux, and Harald Kunstmann https://doi.org/10.26050/WDCC/SaWaM_D01_SEAS5_BCSD

Seasonal Water Resources Management for Semiarid Areas: Bias-corrected and spatially disaggregated seasonal forecasts for the Rio São Francisco Basin (Brazil) Christof Lorenz, Tanja Portele, Patrick Laux, and Harald Kunstmann https://doi.org/10.26050/WDCC/SaWaM_D02_SEAS5_BCSD

Seasonal Water Resources Management for Semiarid Areas: Bias-corrected and spatially disaggregated seasonal forecasts for the Tekeze-Atbara and Blue Nile Basins (Ethiopia/Eritrea/Sudan) Christof Lorenz, Tanja Portele, Patrick Laux, and Harald Kunstmann https://doi.org/10.26050/WDCC/SaWaM_D03_SEAS5_BCSD

Seasonal Water Resources Management for Semiarid Areas: Bias-corrected and spatially disaggregated seasonal forecasts for the Catamayo-Chira Basin (Ecuador/Peru) Christof Lorenz, Tanja Portele, Patrick Laux, and Harald Kunstmann https://doi.org/10.26050/WDCC/SaWaM_D04_SEAS5_BCSD

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Short summary
Semi-arid regions depend on the freshwater resources from the rainy seasons as they are crucial for ensuring security for drinking water, food and electricity. Thus, forecasting the conditions for the next season is crucial for proactive water management. We hence present a seasonal forecast product for four semi-arid domains in Iran, Brazil, Sudan/Ethiopia and Ecuador/Peru. It provides a benchmark for seasonal forecasts and, finally, a crucial contribution for improved disaster preparedness.