A - Papers appearing in refereed journals
Gallear, J., Galdos, M., Zeri, M. and Hartley, A. 2025. Evaluation of machine learning approaches for large-scale agricultural drought forecasts to improve monitoring and preparedness in Brazil. Natural Hazards and Earth System Sciences. 25, pp. 1521-1541. https://doi.org/10.5194/nhess-2024-60
Authors | Gallear, J., Galdos, M., Zeri, M. and Hartley, A. |
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Abstract | Drought events have increased in frequency and severity in recent years, and result in significant economic losses. |
Year of Publication | 2025 |
Journal | Natural Hazards and Earth System Sciences |
Journal citation | 25, pp. 1521-1541 |
Digital Object Identifier (DOI) | https://doi.org/10.5194/nhess-2024-60 |
Open access | Published as ‘gold’ (paid) open access |
Output status | Published |
Publication dates | |
Online | 25 Apr 2025 |
Publication process dates | |
Accepted | Jan 2025 |
Publisher | European Geosciences Union (EGU) |
ISSN | 1684-9981 |
Permalink - https://repository.rothamsted.ac.uk/item/992x0/evaluation-of-machine-learning-approaches-for-large-scale-agricultural-drought-forecasts-to-improve-monitoring-and-preparedness-in-brazil