Prediction of monthly precipitation using various artificial models and comparison with mathematical models

Author:

Kassem YoussefORCID,Gökçekuş Hüseyin,Mosbah Almonsef Alhadi Salem

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Reference181 articles.

1. Abatzoglou JT, Dobrowski SZ, Parks SA, Hegewisch KC (2018) TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015. Sci Data 5(1):1–12

2. Abbot J, Marohasy J (2014) Input selection and optimisation for monthly rainfall forecasting in Queensland, Australia, using artificial neural networks. Atmos Res 138:166–178. https://doi.org/10.1016/j.atmosres.2013.11.002

3. Abdulkadir TS, Salami AW, Aremu AS, Ayanshola AM, Oyejobi DO (2017) Assessment of neural networks performance in modeling rainfall AMOUNTS. J Res Forestry Wildlife Environ 9(1):12–22

4. Abeysingha NS, Singh M, Sehgal VK, Khanna M, Pathak H, Jayakody P,  Srinivasan R (2015) Assessment of water yield and evapotranspiration over 1985 to 2010 in the Gomti River basin in India using the SWAT model. Curr Sci 2202–2212

5. Abhishek K, Kumar A, Ranjan R & Kumar S (2012) A rainfall prediction model using artificial neural network. 2012 IEEE Control and System Graduate Research Colloquium. https://doi.org/10.1109/icsgrc.2012.6287140

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