Assessment of seven different global climate models for historical temperature and precipitation in Hatay, Türkiye
Author:
Funder
Hatay Mustafa Kemal University’s Scientific Research Project (BAP) Office
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13762-024-06033-5.pdf
Reference61 articles.
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2. Anil S, Manikanta V, Pallakury AR (2021) Unravelling the influence of subjectivity on ranking of cmip6 based climate models: a case study. Int J Climatol 41(13):5998–6016. https://doi.org/10.1002/joc.7164
3. Anushka P, Hadi AMD, Upaka R (2020) Comparison of different artificial neural network (ANN) training algorithm to predict atmospheric temperature in Tabuk Saudi Arabia. MAUSAM 71(2):233–244. https://doi.org/10.54302/mausam.v71i2.22
4. Aubakirova G, Ivel V, Gerassimova Y et al (2022) Application of artificial neural network for wheat yield forecasting. EEJET 117(4):31–39. https://doi.org/10.15587/1729-4061.2022.259653
5. Baczkiewicz A, Wątróbski J, Sałabun W et al (2021) An ANN Model trained on regional data in the prediction of particular weather conditions. Appl Sci 11(11):4757. https://doi.org/10.3390/app11114757
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