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Uncertainties of satellite-derived surface skin temperatures in the polar oceans: MODIS, AIRS/AMSU, and AIRS only
- Title
- Uncertainties of satellite-derived surface skin temperatures in the polar oceans: MODIS, AIRS/AMSU, and AIRS only
- Authors
- Kang, H. -J.; Yoo, J. -M.; Jeong, M. -J.; Won, Y. -I.
- Ewha Authors
- 유정문
- SCOPUS Author ID
- 유정문
- Issue Date
- 2015
- Journal Title
- Atmospheric Measurement Techniques
- ISSN
- 1867-1381
1867-8548
- Citation
- Atmospheric Measurement Techniques vol. 8, no. 10, pp. 4025 - 4041
- Publisher
- COPERNICUS GESELLSCHAFT MBH
- Indexed
- SCIE; SCOPUS
- Document Type
- Article
- Abstract
- Uncertainties in the satellite-derived surface skin temperature (SST) data in the polar oceans during two periods (16-24 April and 15-23 September) 2003-2014 were investigated and the three data sets were intercompared as follows: MODerate Resolution Imaging Spectroradiometer Ice Surface Temperature (MODIS IST), the SST of the Atmospheric Infrared Sounder/Advanced Microwave Sounding Unit-A (AIRS/AMSU), and AIRS only. The AIRS only algorithm was developed in preparation for the degradation of the AMSU-A. MODIS IST was systematically warmer up to 1.65 K at the sea ice boundary and colder down to -2.04 K in the polar sea ice regions of both the Arctic and Antarctic than that of the AIRS/AMSU. This difference in the results could have been caused by the surface classification method. The spatial correlation coefficient of the AIRS only to the AIRS/AMSU (0.992-0.999) method was greater than that of the MODIS IST to the AIRS/AMSU (0.968-0.994). The SST of the AIRS only compared to that of the AIRS/AMSU had a bias of 0.168 K with a RMSE of 0.590 K over the Northern Hemisphere high latitudes and a bias of 0.109 K with a RMSE of 0.852 K over the Southern Hemisphere high latitudes. There was a systematic disagreement between the AIRS retrievals at the boundary of the sea ice, because the AIRS only algorithm utilized a less accurate GCM forecast over the seasonally varying frozen oceans than the microwave data. The three data sets (MODIS, AIRS/AMSU and AIRS only) showed significant warming rates (2.3 +/- 1.7 similar to 2.8 +/- 1.9 K decade(-1)) in the northern high regions (70-80 degrees N) as expected from the ice-albedo feedback. The systematic temperature disagreement associated with surface type classification had an impact on the resulting temperature trends.
- DOI
- 10.5194/amt-8-4025-2015
- Appears in Collections:
- 사범대학 > 과학교육과 > Journal papers
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