Fractional Importance of Various Moisture Sources Influencing Precipitation in Iran Using a Comparative Analysis of Analytical Hierarchy Processes and Machine Learning Techniques

Fractional Importance of Various Moisture Sources Influencing Precipitation in Iran Using a Comparative Analysis of Analytical Hierarchy Processes and Machine Learning Techniques

Studying the moisture sources responsible for precipitation in Iran is highly important. In recent years, moisture sources that influence precipitation across Iran have been studied using various methods. In this study, moisture uptake rate from individual sources that influences precipitation acros...

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Bibliographic Details
Main Authors: Mojtaba Heydarizad, Nathsuda Pumijumnong, Rogert Sorí, Pouya Salari, Luis Gimeno
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Atmosphere
Subjects:
Iran
moisture sources
fractional importance
machine learning techniques
FLEXPART model
Online Access:https://www.mdpi.com/2073-4433/13/12/2019

Internet

https://www.mdpi.com/2073-4433/13/12/2019

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