气候变化领域集成服务门户(CCPortal): Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version 2.1

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DOI	10.1175/JCLI-D-20-0166.1
	Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version 2.1
	Huang B.; Liu C.; Banzon V.; Freeman E.; Graham G.; Hankins B.; Smith T.; Zhang H.-M.
发表日期	2021
ISSN	08948755
起始页码	2923
结束页码	2939
卷号	34 期号:8
英文摘要	The NOAA/NESDIS/NCEI Daily Optimum Interpolation Sea Surface Temperature (SST), version 2.0, dataset (DOISST v2.0) is a blend of in situ ship and buoy SSTs with satellite SSTs derived from the Advanced Very High Resolution Radiometer (AVHRR). DOISST v2.0 exhibited a cold bias in the Indian, South Pacific, and South Atlantic Oceans that is due to a lack of ingested drifting-buoy SSTs in the system, which resulted from a gradual data format change from the traditional alphanumeric codes (TAC) to the binary universal form for the representation of meteorological data (BUFR). The cold bias against Argo was about 20.148C on global average and 20.288C in the Indian Ocean from January 2016 to August 2019. We explored the reasons for these cold biases through six progressive experiments. These experiments showed that the cold biases can be effectively reduced by adjusting ship SSTs with available buoy SSTs, using the latest available ICOADS R3.0.2 derived from merging BUFR and TAC, as well as by including Argo observations above 5-m depth. The impact of using the satellite MetOp-B instead of NOAA-19 was notable for high-latitude oceans but small on global average, since their biases are adjusted using in situ SSTs. In addition, the warm SSTs in the Arctic were improved by applying a freezing point instead of regressed ice-SST proxy. This paper describes an upgraded version, DOISST v2.1, which addresses biases in v2.0. Overall, by updating v2.0 to v2.1, the biases are reduced to 20.078 and 20.148C in the global ocean and Indian Ocean, respectively, when compared with independent Argo observations and are reduced to 20.048 and 20.088C in the global ocean and Indian Ocean, respectively, when compared with dependent Argo observations. The difference against the Group for High Resolution SST (GHRSST) Multiproduct Ensemble (GMPE) product is reduced from 20.098 to 20.018C in the global oceans and from 20.208 to 20.048C in the Indian Ocean. © 2021 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).
英文关键词	Data processing; In situ oceanic observations; Satellite observations; Sea surface temperature
语种	英语
scopus关键词	Advanced very high resolution radiometers (AVHRR); Atmospheric temperature; Buoys; Interpolation; Meteorology; Ships; Small satellites; Submarine geophysics; Surface properties; Surface waters; Alphanumeric codes; Drifting buoys; High resolution; Meteorological data; Multi-products; Optimum interpolation; Sea surface temperature (SST); South Atlantic; Oceanography; data processing; data set; global ocean; in situ measurement; interpolation; observational method; satellite imagery; sea surface temperature; Arctic; Atlantic Ocean; Atlantic Ocean (South); Indian Ocean; Pacific Ocean; Pacific Ocean (South)
来源期刊	Journal of Climate
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178654
作者单位	NOAA/National Centers for Environmental Information, Asheville, NC, United States; Riverside Technology, Asheville, NC, United States; North Carolina Institute for Climate Studies, North Carolina State University, Asheville, NC, United States; NOAA/NESDIS, Center for Satellite Applications and Research, College Park, MD, United States
推荐引用方式 GB/T 7714	Huang B.,Liu C.,Banzon V.,et al. Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version 2.1[J],2021,34(8).
APA	Huang B..,Liu C..,Banzon V..,Freeman E..,Graham G..,...&Zhang H.-M..(2021).Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version 2.1.Journal of Climate,34(8).
MLA	Huang B.,et al."Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version 2.1".Journal of Climate 34.8(2021).