Intercomparison analysis of multi-microwave radiometer sea surface temperature data for the Northwest Pacific

Xi Meng; Song Qingtao; Lin Mingsen; Li Wenjun

doi:10.3969/j.issn.0253-4193.2016.07.004

Article Contents

Article Navigation > Haiyang Xuebao > 2016 > 38(7): 32-47

Xi Meng, Song Qingtao, Lin Mingsen, Li Wenjun. Intercomparison analysis of multi-microwave radiometer sea surface temperature data for the Northwest Pacific[J]. Haiyang Xuebao, 2016, 38(7): 32-47. doi: 10.3969/j.issn.0253-4193.2016.07.004

Citation:

Xi Meng, Song Qingtao, Lin Mingsen, Li Wenjun. Intercomparison analysis of multi-microwave radiometer sea surface temperature data for the Northwest Pacific[J]. Haiyang Xuebao, 2016, 38(7): 32-47. doi: 10.3969/j.issn.0253-4193.2016.07.004

Citation:

PDF( 1986 KB)

Intercomparison analysis of multi-microwave radiometer sea surface temperature data for the Northwest Pacific

doi: 10.3969/j.issn.0253-4193.2016.07.004

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, State Oceanic Administration, Dalian 116023, China

Received Date: 2015-06-29

Abstract

Abstract

Sea surface temperature (SST) products are important data sources for global ocean atmosphere system studies, and of great importance for research and applications in marine related fields. Focusing on the Northwest Pacific, three microwave radiometer SST products (AMSR-2, TMI and WindSat) have been analyzed and compared with Argo during 2013 and 2014 in this paper, and intercomparison analysis among seniors. It includes SST analysis, SST gradient analysis, the observation point analysis, the matching point analysis, bias analysis, root mean square error analysis, monthly statistics analysis and SST error bar analysis. The results suggest that the overall trend of the variability changes of the three microwave radiometer SST products is consistent in the Northwest Pacific. Remote sensing data and buoy data have seasonal cycles. The SST data quality of AMSR-2 is more ideal than TMI and WindSat. The difference of SST data quality between AMSR-2 and TMI is smaller than WindSat and TMI. However, for sea area within 100 km of offshore, whether to use the data gathered by AMSR-2 and TMI needs to be taken into consideration.
- sea surface temperature,
- microwave radiometer,
- Argo data,
- the Northwest Pacific,
- statistical analysis

FullText(HTML)

References(17)

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.

Stammer D, Wentz F J, Gentemann C. Validation of microwave sea surface temperature measurements for climate purposes[J]. Journal of Climate,2010,16(1):73-87.

Gentemann C L, Wentz F J, Mears C A, et al. In situ validation of tropical rainfall measuring mission microwave sea surface temperatures[J]. Journal of Geophysical Research Oceans,2004, 109(C4): 249-260.

Parekh A, Sharma R, Sarkar A. A comparative assessment of surface wind speed and sea surface temperature over the Indian Ocean by TMI, MSMR, and ERA-40[J]. Journal of Atmospheric and Oceanic Technology, 2007, 24(6): 1131-1142.

Hosoda K, Murakami H. Difference characteristics of sea surface temperature observed by GLI and AMSR aboard ADEOS-Ⅱ[J]. Journal of Oceanography, 2006, 62(3):339-350.

Qiu C, Wang D. Validation of AVHRR and TMI-derived sea surface temperature in the northern South China Sea[J]. Continental Shelf Reseach, 2009, 29(20): 2358-2366.

王雨, 刘鹏, 李天奕, 等. TMI反演海温与Hadley中心海温资料的气候尺度比较分析[J]. 中国科学: 地球科学, 2011(8): 1200-1210. Wang Yu, Liu Peng, Li Tianyi, et al. Climatologic comparison of HadISST1 and TMI sea surface temperature datasets[J]. Science China: Earth Sciences, 2011(8): 1200-1210.

李明, 刘骥平, 张占海, 等. 利用南大洋漂流浮标数据评估AMSR-E SST[J]. 海洋学报, 2010, 32(6): 47-55. Li Ming, Liu Jiping, Zhang Zhanhai, et al. Evaluation of AMSR-E SST in the Southern Ocean using drifting buoy data[J]. Haiyang Xuebao, 2010, 32(6): 47-55.

卢少磊, 许建平, 刘增宏. 南半球微波遥感SST与Argo浮标NST的异同分析[J]. 海洋预报, 2014(1): 1-8. Lu Shaolei, Xu Jianping, Liu Zenghong. Analysis of the differences between microwave remote sensing SST and Argo NST in the Southern Hemisphere[J]. Marine Forecasts, 2014(1): 1-8.

孙凤琴, 张彩云, 商少平, 等. 西北太平洋部分海域AVHRR、TMI与MODIS遥感海表层温度的初步验证[J]. 厦门大学学报(自然科学版), 2007, 46(S1): 1-5. Sun Fengqin, Zhang Caiyun, Shang Shaoping, et al. Primary validation of AVHRR/MODIS/TMI SST for part of the Northwest Pacific[J]. Journal of Xiamen University (Natural Science), 2007, 46(S1): 1-5.

Wentz F J, Gentemann C, Smith D, et al. Satellite measurements of sea surface temperature through clouds[J]. Science, 2000, 288(5467): 847-850.

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.

杨胜龙, 周甦芳, 崔雪森, 等. Argo数据研究应用现状与发展趋势[J]. 海洋渔业, 2007, 29(4): 223-228. Yang Shenglong, Zhou Sufang, Cui Xuesen, et al. The application area and products of the Argo profile floats data[J]. Marine Fisheries, 2007, 29(4): 223-228.

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.

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.

Donlon C, Gentemann C, Wentz F J. Measuring surface temperature with microwave sensors[J]. Backscatter, 2001, 12: 37-39.

Relative Articles

Supplements(0)

Cited By

Proportional views