“Bias Correction Method” for Regional Correction Experiment of Warm Season Rainstorm in Zhejiang

This study employs the K-means clustering algorithm to partition warm-season precipitation in Zhejiang Province into distinct regions. A frequency matching bias correction method is then applied to enhance the spatial and temporal accuracy of the objective consensus forecasting (OCF) 0.05° × 0.05° m...

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Bibliographic Details

Published in:	Advances in Meteorology
Main Authors:	Chengyan Mao, Xin Pan, Haowen Li, Weibiao Li, Haoya Liu
Format:	Article
Language:	English
Published:	Wiley 2025-01-01
Online Access:	http://dx.doi.org/10.1155/adme/8828095