Cargando…
Predicting maximum temperatures over India 10-days ahead using machine learning models
In the months of March-June, India experiences high daytime temperatures (Tmax), which sometimes lead to heatwave-like conditions over India. In this study, 10 different machine learning models are evaluated for their ability to predict the daily Tmax anomalies 10 days ahead in the months of March-J...
Autores principales: | Ratnam, J. V., Behera, Swadhin K., Nonaka, Masami, Martineau, Patrick, Patil, Kalpesh R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567792/ https://www.ncbi.nlm.nih.gov/pubmed/37821672 http://dx.doi.org/10.1038/s41598-023-44286-1 |
Ejemplares similares
-
Predicting malaria outbreaks from sea surface temperature variability up to 9 months ahead in Limpopo, South Africa, using machine learning
por: Martineau, Patrick, et al.
Publicado: (2022) -
Long-lead Prediction of ENSO Modoki Index using Machine Learning algorithms
por: Pal, Manali, et al.
Publicado: (2020) -
Improving seasonal forecasts of air temperature using a genetic algorithm
por: Ratnam, J. V., et al.
Publicado: (2019) -
A machine learning based prediction system for the Indian Ocean Dipole
por: Ratnam, J. V., et al.
Publicado: (2020) -
Climate Precursors of Satellite Water Marker Index for Spring Cholera Outbreak in Northern Bay of Bengal Coastal Regions
por: Ogata, Tomomichi, et al.
Publicado: (2021)