Improving the Accuracy of Rainfall Prediction Using Bias-Corrected NMME Outputs: A Case Study of Surabaya City, Indonesia

Generating an accurate rainfall prediction is a challenging work due to the complexity of the climate system. Numerous efforts have been conducted to generate reliable prediction such as through ensemble forecasts, the North Multi-Model Ensemble (NMME). The performance of NMME globally has been inve...

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Detalles Bibliográficos
Autores principales: Faidah, Defi Y., Kuswanto, Heri, Sutikno, Sutikno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9068286/
https://www.ncbi.nlm.nih.gov/pubmed/35530532
http://dx.doi.org/10.1155/2022/9779829

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9068286/
https://www.ncbi.nlm.nih.gov/pubmed/35530532
http://dx.doi.org/10.1155/2022/9779829

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