Articles | Volume 25, issue 4
https://doi.org/10.5194/nhess-25-1521-2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Research article
| 
25 Apr 2025
Research article |
| 25 Apr 2025
| 25 Apr 2025
Evaluation of machine learning approaches for large-scale agricultural drought forecasts to improve monitoring and preparedness in Brazil
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Agência Brasil: Drought was one of the villains of inflation in 2014, Agência Brasil, https://agenciabrasil.ebc.com.br/economia/noticia/2015-01/seca-foi-um-dos-viloes-da-inflacao-em-2014 (last access: 13 August 2024), 2015. a
Barrett, A. B., Duivenvoorden, S., Salakpi, E. E., Muthoka, J. M., Mwangi, J., Oliver, S., and Rowhani, P.: Forecasting vegetation condition for drought early warning systems in pastoral communities in Kenya, Remote Sens. Environ., 248, 111886, https://doi.org/10.1016/j.rse.2020.111886, 2020. a, b
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Beck, H. E., Zimmermann, N. E., McVicar, T. R., Vergopolan, N., Berg, A., and Wood, E. F.: Present and future Köppen-Geiger climate classification maps at 1-km resolution, Scientific data, 5, 1–12, 2018. a
