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Auzani, H., Has-Yun, K., & Nazri, F. (2022). Development of Trees Management System Using Radial Basis Function Neural Network for Rain Forecast. Computational Water, Energy, and Environmental Engineering, 11, 1-10.
https://doi.org/10.4236/cweee.2022.111001

has been cited by the following article:

• TITLE: Analysis on the Heavy Rain Weather Process in Most Areas of China from July 26 to 30, 2022

  AUTHORS: Xuanyu Zhang

  KEYWORDS: Synoptic Methods, Low Vortex, Wind Shear, Water Vapor, Stable Precipitation

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.11 No.1, January 31, 2023

  ABSTRACT: To analyze a new heavy rain case over China during the year 2022, by using the data from NCC-CMA and NCEP, a heavy rain weather process in most areas of China from July 26 to 30, 2022 was analyzed. Synoptic methods were used in this research and results show that under the influence of low vortex and wind shear, the abundant water vapor supply brought by the southeast airflow in the lower level and the lifting of the Taihang Mountain, heavy rain weather occurred in the northern part of Henan, China. In the west of Liaoning and Jilin, the rainfall process had the characteristics of frontal rainfall and the stable precipitation resulted in heavy rain weather. To sum up, the rainfall process was mainly affected by the upper-level trough, low-level wind shear and low-level jet.