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pro vyhledávání: '"Busra Asan"'
Autor:
Alper Unal, Busra Asan, Ismail Sezen, Bugra Yesilkaynak, Yusuf Aydin, Mehmet Ilicak, Gozde Unal
Publikováno v:
Environmental Data Science, Vol 2 (2023)
Understanding seasonal climatic conditions is critical for better management of resources such as water, energy, and agriculture. Recently, there has been a great interest in utilizing the power of Artificial Intelligence (AI) methods in climate stud
Externí odkaz:
https://doaj.org/article/d9e47019b3f94c989319a0f3506a61eb
The ability to accurately predict seasonal and sub-seasonal weather patterns is of great significance in climate modeling, as extreme weather events and climate change become more prevalent. Furthermore, current climate models require extensive compu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efcb1215ff46b9552506701045eb58ed
https://doi.org/10.5194/egusphere-egu23-16281
https://doi.org/10.5194/egusphere-egu23-16281