Analysis of the memory mechanism in the pan evaporation phenomenon by the band similarity method
Author:
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
https://link.springer.com/content/pdf/10.1007/s00704-023-04502-4.pdf
Reference43 articles.
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2. Adnan RM, Malik A, Kumar A et al (2019) Pan evaporation modeling by three different neuro-fuzzy intelligent systems using climatic inputs. Arab J Geosci 12:1–14. https://doi.org/10.1007/S12517-019-4781-6/TABLES/7
3. Almedeij J (2016) Modeling pan evaporation for Kuwait using multiple linear regression and time-series techniques. Am J Appl Sci 13:739–747. https://doi.org/10.3844/AJASSP.2016.739.747
4. Al-Mukhtar M (2021) Modeling of pan evaporation based on the development of machine learning methods. Theor Appl Climatol 146:961–979. https://doi.org/10.1007/S00704-021-03760-4/TABLES/5
5. Alsumaiei AA (2020) Utility of artificial neural networks in modeling pan evaporation in hyper-arid climates. Water (Switzerland) 12. https://doi.org/10.3390/W12051508
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