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.

Viewed

Total article views: 1,353 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
964 375 14 1,353 18 24
  • HTML: 964
  • PDF: 375
  • XML: 14
  • Total: 1,353
  • BibTeX: 18
  • EndNote: 24
Views and downloads (calculated since 27 Oct 2020)
Cumulative views and downloads (calculated since 27 Oct 2020)

Viewed (geographical distribution)

Total article views: 1,135 (including HTML, PDF, and XML) Thereof 1,133 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (preprint)

Latest update: 01 Dec 2021
Download
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.