Year: 2025
Type: article
Abstract: A precipitation area correction model is designed by using the ideas of matrix rotation and matrix translation. The errors of the precipitation forecasts of the Fuxi large - scale model are statistically learned, and the precipitation area deviation is corrected according to the statistical values. The test results show that the precipitation area error after correction is reduced by 2% compared with that before correction, and the deviation is reduced by 1%.
Authors: Gao Hua, Bao Dongling, Zheng Zuofang
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410923903