Work

Correction of Gridded Precipitation Data Based on Machine Learning

Year: 2024

Type: erratum

Source: International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)

DOI: 10.1109/icicml63543.2024.10957884

Authors: Chengbin Wei, Chuandong Zhu, Long Wen, Wentao Hu

Institutions: China University of Geosciences, China Meteorological Administration, Institute of Heavy Rain, China Meteorological Administration

Language: English

Topic: Precipitation Measurement and Analysis

Subfield: Atmospheric Science

Field: Earth and Planetary Sciences

Domain: Physical Sciences

Open Access status: closed

Funders: China Postdoctoral Science Foundation, China Meteorological Administration

OpenAlex ID: W4409427426

Cites: 18

Cited by:

Related to: 10