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Monthly Sea Surface Temperature (SST) Means from Daily Data Optimum Interpolation Sea Surface Temperature (OISST V2.1)

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DataCite Commons2024-08-14 更新2025-04-16 收录
下载链接:
https://arcticdata.io/catalog/view/doi:10.18739/A2GQ6R41D
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资源简介:
The National Oceanic and Atmospheric Administration (NOAA) / National Environmental Satellite Date and Information Service (NESDIS)/ National Centers for Environmental Information (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 −0.14 degrees Celcius (°C) on global average and −0.28°C 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 International Comprehensive Ocean-Atmosphere Data Set (ICOADS) R3.0.2 derived from merging BUFR and TAC, as well as by including Argo observations above 5-meter (m) depth. The impact of using the Meteorological operational satellite - B (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 −0.07° and −0.14°C in the global ocean and Indian Ocean, respectively, when compared with independent Argo observations and are reduced to −0.04° and −0.08°C 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 −0.09° to −0.01°C in the global oceans and from −0.20° to −0.04°C in the Indian Ocean.
提供机构:
NSF Arctic Data Center
创建时间:
2024-08-14
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