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Moving from drought hazard to impact forecasts
oleh: Samuel J. Sutanto, Melati van der Weert, Niko Wanders, Veit Blauhut, Henny A. J. Van Lanen
Format: | Article |
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Diterbitkan: | Nature Portfolio 2019-10-01 |
Deskripsi
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.