Work

Correction: A hybrid approach for regionalization of precipitation based on maximal discrete wavelet transform and growing neural gas network clustering

Year: 2026

Type: erratum

Abstract: The original version of this Article contained an error in Figures 1, 5 and 6 where the figures were inadvertently generated using data prior to the preprocessing stage. As a result, these figures did not accurately represent the methodology workflow, the post-processing model inputs, or the final precipitation regionalization results as described in the manuscript. The original Figures 1 , 5 and 6 and accompanying legends appear below.

Source: Scientific Reports

DOI: 10.1038/s41598-025-33156-7

Authors: Xu Tao, Ma Ben, He Cao Yin Xuan, Ali Arshaghi

Institutions: Wuyi University, Wuyi University, Islamic Azad University, Tehran, Islamic Azad University Central Tehran Branch

Language: English

Topic: Precipitation Measurement and Analysis

Subfield: Atmospheric Science

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDG: Climate action

Open Access status: gold

Estimated APC paid: $2,690