西北太平洋多源微波辐射计海表温度数据交叉比对分析

奚萌; 宋清涛; 林明森; 李文君

doi:10.3969/j.issn.0253-4193.2016.07.004

西北太平洋多源微波辐射计海表温度数据交叉比对分析

doi: 10.3969/j.issn.0253-4193.2016.07.004

1.
国家海洋局国家卫星海洋应用中心, 北京 100081
2.
国家海洋局国家卫星海洋应用中心, 北京 100081;国家海洋局空间海洋遥感与应用研究重点实验室, 北京 100081
3.
国家海洋局国家海洋环境监测中心, 辽宁大连 116023

基金项目: 海洋公益性行业科研专项经费项目-HY-2卫星海洋动力环境探测数据应用服务技术系统与示范(201305032);基金面上项目"大气对小尺度海表温度结构的响应"(41276019)。

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出版历程
- 收稿日期: 2015-06-29

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

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

摘要

摘要:
海表温度产品是研究全球海洋大气系统的重要数据源,在海洋相关领域的研究和应用方面具有重要价值。以西北太平洋海域为研究区域,本文对2013年和2014年3个微波辐射计海表温度产品(AMSR-2,TMI和WindSat)的产品特性和Argo浮标进行了真实性检验,并对3个传感器数据进行了交叉比对分析,具体涉及海表温度分布、温度梯度分布、观测点分布、匹配点分布、平均偏差分布、均方根误差分布、统计分析结果的逐月演变和海表温度误差棒分析。结果表明,3个微波辐射计在空间尺度上都能比较一致地反映西北太平洋海域的海表温度变化趋势。但遥感数据与浮标数据却存在季节性变化和昼夜差异,其中冬季微波数据与浮标数据的平均偏差和均方根误差较小,降轨数据与浮标数据的结果更接近。AMSR-2的海表温度数据质量比TMI和WindSat的海表温度数据更接近Argo数据。相比于WindSat和TMI,AMSR-2和TMI的海表温度数据质量更为接近,但是由于受到近岸陆地信号干扰,AMSR-2和TMI离岸100 km以内海域的数据应当慎用。
- 海表温度 /
- 微波辐射计 /
- Argo浮标 /
- 西北太平洋 /
- 统计分析
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

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参考文献(17)

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.

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