Intercomparison analysis of merging sea surface temperature products for the Northwest Pacific Ocean

Xi Meng; Song Qingtao; Li Wenjun; Zou Bin; Lin Mingsen

doi:10.3969/j.issn.0253-4193.2017.12.013

Article Contents

Article Navigation > Haiyang Xuebao > 2017 > 39(12): 136-152

Xi Meng, Song Qingtao, Li Wenjun, Zou Bin, Lin Mingsen. Intercomparison analysis of merging sea surface temperature products for the Northwest Pacific Ocean[J]. Haiyang Xuebao, 2017, 39(12): 136-152. doi: 10.3969/j.issn.0253-4193.2017.12.013

Citation:

Xi Meng, Song Qingtao, Li Wenjun, Zou Bin, Lin Mingsen. Intercomparison analysis of merging sea surface temperature products for the Northwest Pacific Ocean[J]. Haiyang Xuebao, 2017, 39(12): 136-152. doi: 10.3969/j.issn.0253-4193.2017.12.013

Citation:

PDF( 1898 KB)

Intercomparison analysis of merging sea surface temperature products for the Northwest Pacific Ocean

doi: 10.3969/j.issn.0253-4193.2017.12.013

1.
National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China
2.
National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China;Key Laboratory of Space Ocean Remote Sensing and Applications, Beijing 100081, China
3.
National Marine Environmental Monitoring Center, Dalian 116023, China

Received Date: 2016-11-26
Rev Recd Date: 2017-05-13

Abstract

Abstract

Sea surface temperature products are significant data sources for global ocean atmosphere system studies, and play an important role for research and applications in marine related fields. Focusing on the Northwest Pacific Ocean, three merging SST products (AVHRR OISST, MISST and OSTIA) have been validated and compared with Argo, and intercomparison analysis among merging products during 2007 to 2014 in this paper. The results suggest that the overall trend of the variability changes of the three merging products is consistent in the study area. Bias is ±0.1℃ and root mean square error is less than 0.9℃ between merging products and Argo. Comparisons of merging data and buoy data have obvious seasonal cycles especially, bias and root mean square error are smaller in winter. There are positive deviation in the high latitude area. The data quality of OSTIA is more ideal than other merging products. The differences of data among merging products are relatively large in coastal and high latitude sea area. When sea ice is processed in different ways, merging products will be affected strongly. Before June 2012, the data qualities of SST are much closer between MISST and OSTIA, but henceforth MISST exists system deviation. Infrared data, microwave data and situ data as input data are essential elements in order to produce high temporal-spatial resolution and high precision of merging SST products.
- sea surface temperature,
- merging products,
- Argo data,
- the Northwest Pacific Ocean,
- statistical analysis

FullText(HTML)

References(19)

References

蒋兴伟,宋清涛. 海洋卫星微波遥感技术发展现状与展望[J]. 科技导报, 2010, 28(3):105-111. Jiang Xingwei, Song Qingtao. Satellite microwave measurements of the global oceans and future missions[J]. Science Guide, 2010, 28(3):105-111.

Reynolds R W, Chelton D B. Comparisons of daily sea surface temperature analyses for 2007-08[J]. American Meteorological Society, 2010, 23:3545-3562.

Martin M, Dash P, Ignatov A, et al. Group for High Resolution Sea Surface temperature (GHRSST) analysis fieldsinter-comparisons. Part 1:A GHRSST multi-product ensemble (GMPE)[J]. Deep-Sea Research Part Ⅱ:Topical Studies in Oceanography, 2012, 77-80:21-30.

Dash P, Ignatov A, Martin M, et al. Group for High Resolution Sea Surface Temperature (GHRSST) analysis fields inter-comparisons. Part 2:Near real time web-based level 4 SST Quality Monitor (L4-SQUAM)[J]. Deep-Sea Research Part Ⅱ:Topical Studies in Oceanography, 2012, 77-80:31-43.

蒋兴伟, 奚萌, 宋清涛. 六种遥感海表温度产品的比对分析[J]. 海洋学报, 2013, 35(4):88-97. Jiang Xingwei, Xi Meng, Song Qingtao. A comparison of six sea surface temperature analyses[J]. Haiyang Xuebao, 2013, 35(4):88-97.

胡晓悦, 张彩云, 商少凌. 南海及周边海域融合海表温度产品的验证与互较[J]. 遥感学报, 2015, 19(2):328-338. Hu Xiaoyue, Zhang Caiyun, Shang Shaoling. Validation and inter-comparison of multi-satellite merged sea surface temperature products in the South China Sea and its adjacent waters[J]. Journal of Remote Sensing, 2015,19(2):328-338.

Donlon C, Rayner N, Robinson I, et al. The global ocean data assimilation experiment high-resolution sea surface temperature pilot project[J]. Bulletin of the American Meteorological Society, 2007, 88(8):1197-1213.

Reynolds R W, Smith T M, Liu C, et al. Daily high-resolution blended analyses for sea surface temperature[J]. Journal of Climate, 2007,20(22):5473-5496.

Gentemann C L, Donlon C J, Stuart-Menteth A, et al. Diurnal signals in satellite sea surface temperature measurements[J]. Geophysical Research Letters, 2003, 30(3):1140.

Reynolds R W, Gentemann C L, Corlett G K. Evaluation of AATSR and TMI satellite SST data[J]. Journal of Climate, 2010,23(1):152-165.

Argo Science Team. Argo:The global array of profiling floats, in observing the oceans in the 21st Century[R]. GODAE Project Office, 2001:248-258.

Roemmich D, Owensw B. The ARGO Project:global ocean observations for understanding and prediction of climate variability[J]. Oceanography, 2000, 13(2):45-50.

Marcello J, Eugenio F, Hernandez A. Validation of MODIS and AVHRR/3 sea surface temperature retrieval algorithms[J]. Geoscience and Remote Sensing Symposium, 2004, 2:839-842.

Bailey S W, Werdell P J. A multi-sensor approach for the on-orbit validation of ocean color satellite data products[J]. Remote Sensing of Environment, 2006, 102(1/2):12-23.

奚萌,宋清涛, 林明森, 等. 西北太平洋多源微波辐射计海表温度数据交叉比对分析[J]. 海洋学报, 2016, 38(7):32-47. Xi Meng, Song Qingtao, Lin Mingsen,et al. Intercomparison analysis of multi-microwave radiometer sea surface temperature data for the Northwest Pacific[J]. Haiyang Xuebao, 2016, 38(7):32-47.

奚萌, 宋清涛, 林明森,等. 西北太平洋红外辐射计海表温度数据交叉比对分析[J]. 海洋与湖沼, 2017, 48(3):436-453. Xi Meng, Song Qingtao, Lin Mingsen, et al. Intercomparison analysis of multi-infrared sea surface temperature data for the Northwest Pacific[J]. Oceanologia et Limnologia Sinica, 2017, 48(3):436-453.

Ricciardulli L, Wentz F J. Uncertainties in sea surface temperature retrievals from space:Comparison of microwave and infrared observations from TRMM[J]. Journal of Geophysical Research, 2004, 109(C12):481-497.

Xie J P, Zhu J, Li Y. Assessment and inter comparison of five high-resolution sea surface temperature products in the shelf and coastal seas around China[J]. Continental Shelf Research, 2008, 28(10/11):1286-1293.

奚萌. 基于最优插值算法的红外和微波遥感海表温度数据融合[D]. 北京:国家海洋环境预报研究中心,2011. Xi Meng. Merging infrared radiometer and microwave radiometer sea surface temperature data based on the optimum interpolation[D]. Beijing:National Marine Environmental Forecasting Research Center, 2011.

Relative Articles

Supplements(0)

Cited By

Proportional views