气候变化领域集成服务门户(CCPortal): An EnOI-Based Data Assimilation System With DART for a High-Resolution Version of the CESM2 Ocean Component

CCPortal

DOI	10.1029/2020MS002176
	An EnOI-Based Data Assimilation System With DART for a High-Resolution Version of the CESM2 Ocean Component
	Castruccio F.S.; Karspeck A.R.; Danabasoglu G.; Hendricks J.; Hoar T.; Collins N.; Anderson J.L.
发表日期	2020
ISSN	19422466
卷号	12 期号:11
英文摘要	An ensemble optimal interpolation (EnOI) data assimilation system for a high-resolution (0.1° horizontal) version of the Community Earth System Model Version 2 (CESM2) ocean component is presented. For this purpose, a new version of the Data Assimilation Research Testbed (DART Manhattan) that enables large-state data assimilation by distributing state vector information across multiple processors at high resolution is used. The EnOI scheme uses a static (but seasonally varying) 84-member ensemble of precomputed perturbations to approximate samples from the forecast error covariance and utilizes a single model integration to estimate the forecast mean. Satellite altimetry and sea surface temperature observations along with in situ temperature and salinity observations are assimilated. This new data assimilation framework is then used to produce a global high-resolution retrospective analysis for the 2005–2016 period. Not surprisingly, the assimilation is shown to generally improve the time-mean ocean state estimate relative to an identically forced ocean model simulation where no observations are ingested. However, diminished improvements are found in undersampled regions. Lack of adequate salinity observations in the upper ocean actually results in deterioration of salinity there. The EnOI scheme is found to provide a practical and cost-effective alternative to the use of an ensemble of forecasts. ©2020. The Authors.
英文关键词	CESM2; DART; data assimilation; EnOI; high-resolution
语种	英语
scopus关键词	Cost effectiveness; Deterioration; Forecasting; Surface waters; Data assimilation systems; In-situ temperature; Multiple processors; Ocean model simulations; Optimal interpolation; Retrospective analysis; Satellite altimetry; Sea surface temperature (SST); Oceanography; computer simulation; data assimilation; interpolation; research work; salinity; sampling; Kansas; Manhattan; United States
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156580
作者单位	Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO, United States; Talagent, Boulder, CO, United States; Orbital Micro Systems, Boulder, CO, United States; Computational and Information Systems Laboratory, National Center for Atmospheric Research, Boulder, CO, United States
推荐引用方式 GB/T 7714	Castruccio F.S.,Karspeck A.R.,Danabasoglu G.,et al. An EnOI-Based Data Assimilation System With DART for a High-Resolution Version of the CESM2 Ocean Component[J],2020,12(11).
APA	Castruccio F.S..,Karspeck A.R..,Danabasoglu G..,Hendricks J..,Hoar T..,...&Anderson J.L..(2020).An EnOI-Based Data Assimilation System With DART for a High-Resolution Version of the CESM2 Ocean Component.Journal of Advances in Modeling Earth Systems,12(11).
MLA	Castruccio F.S.,et al."An EnOI-Based Data Assimilation System With DART for a High-Resolution Version of the CESM2 Ocean Component".Journal of Advances in Modeling Earth Systems 12.11(2020).