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.

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AR by Christof Lorenz on behalf of the Authors (15 Apr 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (16 Apr 2021) by David Carlson
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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.