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Seamless Prediction in China: A Review.

Authors :
Ren, Hong-Li
Bao, Qing
Zhou, Chenguang
Wu, Jie
Gao, Li
Wang, Lin
Ma, Jieru
Tang, Yao
Liu, Yangke
Wang, Yujun
Zhao, Zuosen
Source :
Advances in Atmospheric Sciences. Aug2023, Vol. 40 Issue 8, p1501-1520. 20p.
Publication Year :
2023

Abstract

Seamless prediction is a weather–climate integrated prediction covering multiple time scales that include days, weeks, months, seasons, years, and decades. Seamless prediction can provide different industries with information such as weather conditions and climate variations from the next few days to years, which have important impacts on economic and social development and important reference value for short-, medium- and long-term decision-making and planning of the country. Therefore, seamless prediction has received widespread attention from the international scientific community recently. As Chinese scientists have also carried out relevant research, this paper reviews the research in China on developments and applications of seamless prediction methods and prediction systems in recent years. Among them, the main progress of seamless prediction methods studies is reviewed from four aspects: short- and medium-range weather forecasting, subseasonal-to-seasonal, seasonal-to-interannual, and decadal climate prediction. In terms of development and application of seamless prediction systems, the main achievements made by meteorological operational departments, scientific institutes, and universities in China in recent years are reviewed. Finally, some of the issues in seamless prediction that need further study are discussed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02561530
Volume :
40
Issue :
8
Database :
Academic Search Index
Journal :
Advances in Atmospheric Sciences
Publication Type :
Academic Journal
Accession number :
164680485
Full Text :
https://doi.org/10.1007/s00376-023-2335-z