Nature Communications (Oct 2019)

Moving from drought hazard to impact forecasts

  • Samuel J. Sutanto,
  • Melati van der Weert,
  • Niko Wanders,
  • Veit Blauhut,
  • Henny A. J. Van Lanen

DOI
https://doi.org/10.1038/s41467-019-12840-z
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 7

Abstract

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There still lacks a forecast system that inform end-users regarding the drought impacts, which will be however important for drought management. Here the authors assess the feasibility of forecasting drought impacts using machine-learning and confirm that models, which were built with sufficient amount of reported drought impacts in a certain sector, are able to forecast drought impacts a few months ahead.