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

• Main Authors: Huang, Boyin, Liu, Chunying, Banzon, Viva, Freeman, Eric, Graham, Garrett, Hankins, Bill, Smith, Tom, Zhang, Huai-Min
• Format: Dataset
• Language: English
• Published: NSF Arctic Data Center 2024
• Subjects: Arctic Report Card 2023; Arctic; Indian; Pacific; Tac
• Online Access: https://dx.doi.org/10.18739/a2mg7fx6m; https://arcticdata.io/catalog/view/doi:10.18739/A2MG7FX6M

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 ...