气候变化领域集成服务门户(CCPortal): A new DRP-4DVar-based coupled data assimilation system for decadal predictions using a fast online localization technique

CCPortal

DOI	10.1007/s00382-020-05190-w
	A new DRP-4DVar-based coupled data assimilation system for decadal predictions using a fast online localization technique
	He Y.; Wang B.; Huang W.; Xu S.; Wang Y.; Liu L.; Li L.; Liu J.; Yu Y.; Lin Y.; Huang X.; Peng Y.
发表日期	2020
ISSN	0930-7575
起始页码	3541
结束页码	3559
卷号	54
英文摘要	A new coupled data assimilation (CDA) system based on dimension-reduced projection four-dimensional variational data assimilation (DRP-4DVar) for decadal predictions is developed and applied to a fully coupled model FGOALS-g2, which applies a fast online localization technique. The improved CDA system can assimilate more observational information than the previous system, with a larger reduction in the observational cost function and smaller biases and root mean square errors (RMSEs) in global mean ocean temperature and salinity. The assimilated climate variabilities in the Pacific and Atlantic, such as El Nin ~ o-Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO), North Pacific index (NPI), Pacific-North American teleconnection (PNA) and Atlantic Multi-decadal Oscillation (AMO), are generally better reproduced by the new CDA system compared to the previous system and the uninitialized simulation. The Atlantic meridional overturning circulation (AMOC) is better described than the previous system. After partially restoring the climatology of the initial condition to that of the model to relieve the initial shock, ten-member decadal prediction experiments are started each year from 1961 to 1996. Higher decadal prediction skills of near-surface air temperature anomalies over the North Pacific, the Atlantic, and the Indian Oceans and the Eurasia Continent are achieved by the new system compared to those obtained by the previous CDA system, persistence and the uninitialized simulation. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
英文关键词	Climate variability; Coupled data assimilation; Decadal prediction; DRP-4DVar; FGOALS-g2
语种	英语
scopus关键词	Atlantic Multidecadal Oscillation; climate modeling; climate prediction; data assimilation; decadal variation; El Nino-Southern Oscillation; Pacific Decadal Oscillation; teleconnection; temperature anomaly; Atlantic Ocean; Indian Ocean; Pacific Ocean; Pacific Ocean (North)
来源期刊	Climate Dynamics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/145519
作者单位	State Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; Key Laboratory for Earth System Modelling, Department of Earth System Science, Ministry of Education, Tsinghua University, Beijing, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, China
推荐引用方式 GB/T 7714	He Y.,Wang B.,Huang W.,et al. A new DRP-4DVar-based coupled data assimilation system for decadal predictions using a fast online localization technique[J],2020,54.
APA	He Y..,Wang B..,Huang W..,Xu S..,Wang Y..,...&Peng Y..(2020).A new DRP-4DVar-based coupled data assimilation system for decadal predictions using a fast online localization technique.Climate Dynamics,54.
MLA	He Y.,et al."A new DRP-4DVar-based coupled data assimilation system for decadal predictions using a fast online localization technique".Climate Dynamics 54(2020).