IAHR Document Library

« Back to Library Homepage « Proceedings of the 3rd IAHR Europe Congress (Porto, 2014)

Global Sea Surface Temperature as Drought Predictor

Author(s): Manuel Del Jesus; Justin Sheffield; Fernando J. Mendez; Inigo J. Losada; Antonio Espejo

Linked Author(s): Manuel del Jesus, Iñigo J. Losada Rodríguez

Keywords: Sea surface temperature; Drought; Forecast; Machine learning

Abstract: For the layman, droughts are periods during which negligible rainfall inputs are combined with low soil moisture contents. Droughts may affect economic activities, depending on their duration and severity. Increased drought periods can even induce irreversible changes in ecosystems composition and functioning. Increasing our drought prediction capabilities is therefore of the utmost importance. In this study we investigate the skill of sea surface temperature patterns as drought predictor in Peru.


Year: 2014

Copyright © 2024 International Association for Hydro-Environment Engineering and Research. All rights reserved. | Terms and Conditions