A comparison analysis of six sea surface temperature products
-
摘要: 海表温度(sea surface temperature, SST)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。对2007年1和7月的六种不同SST产品(AVHRR-only, AMSR+AVHRR, NCODA, RSS, RTG-HR和OSTIA)在南大洋阿古拉斯回流(Agulhas Return Current, ARC)与绕极环流交汇区域的产品特性进行了比对统计分析, 包括SST分析、SST梯度分析、统计参数分析和波数谱分析。分析结果表明产品之间SST时空变化分布的整体趋势一致, RTG-HR在空间分布上过于平滑, OSTIA解析的大洋锋面最弱, RSS包含噪声较多, NCODA相对其他产品存在较大偏差。发现在AVHRR数据的覆盖率较好的情况下与以红外数据构建的AVHRR-only相比, AMSR数据并不能提供更多的SST信息, 反而会降低产品的空间解析能力。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. Six SST analysis products (AVHRR-only, AMSR+AVHRR, NCODA, RSS, RTG-HR and OSTIA) are compared and evaluated for January and July 2007 near the Agulhas Return Current (ARC) in the south Indian Ocean and the circumpolar circulation regions.The characteristics of the six products are compared in terms of monthly averaged SST analysis, SST gradient, statistical parameter analysis and wavenumber spectra analysis. These results suggest that the overall trend of the variability changes of the SST products is consistent. However, the RTG-HR analysis is much smoother than the other analyses, oceanic front from the OSTIA analysis is the weakest, the RSS is much noisier, and the NCODA analysis exhibits apparent bias. With sufficient satellite infrared observations under cloud-free conditions, it is found that microwave AMSR observations cannot provide more additional SST information, otherwise it will reduce the spatial variability of the SST products.
-
Mmrtin S.海洋遥感导论[M]. 蒋兴伟译. 北京:海洋出版社, 2008. Reynolds R W, Chelton D B. Comparisons of daily sea surface temperature analyses for 2007-08[J]. American Meteorological Society, 2010, 23:3545-3562. Chelton D B, Schlax M G, Freilich M H, et al. Satellite measurements reveal persistent small-scale features in ocean winds[J]. Science, 2004, 303:978-983. Song Q, Hara T, Cornillon P, et al. A comparison between observations and MM5 simulations of the marine atmospheric boundary layer across a temperature front[J]. Journal of Atmospheric and Oceanic Technology, 2004, 21: 170-178. Song Q, Cornillon P, Hara T. Surface wind response to oceanic fronts[J]. Journal of Geophysical Research, 2006, 111: C12006, doi: 10.1029/2006JC003680. Small R J, Xie S P, Wang Y, et al. Numerical simulation of boundary layer structure and crossequatorial flow in the Eastern Pacific[J].J Atmos. Sci, 2005, 62:1812-1830. Reynolds R W, Smith T M, Liu C, et al. Daily high-resolution blended analyses for sea surface temperature[J]. J Climate, 2007, 20:5473-5496. 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. Cummings J A. Operational multivariate ocean data assimilation[J].Quart J Roy Meteor Soc, 2005, 131: 3583-3604. Chelton D B, Wentz F J. Global microwave satellite observations of sea surface temperature for numerical weather prediction and climate research[J]. Bull Amer Meteor Soc, 2005, 86: 1097-1115. Gentemann C L, Donlon C J, Stuart-Menteth A, et al.Diurnal signals in satellite sea surface temperature measurements[J]. Geophys Res Lett, 2003, 30: 1140, doi: 10.1029/2002GL016291. Gemmill W, Katz K, Li X. Daily real-time global sea surface temperature-high resolution analysis at NOAA/NCEP. NOAA/NWS/NCEP/MMAB Office Note 260, 39. 2007. Thiebaux J, Rogers E, Wang W, et al. A new high resolution blended real-time global sea surface temperature analysis[J]. Bull Amer Meteor Soc, 2003, 84:645-656. Reynolds R W, Smith T M. Improved global sea surface temperature analyses using optimum interpolation[J]. J Climate, 1994, 7: 929-948. Reynolds R W, Gentemann C L, Corlett G K. Evaluation of AATSR and TMI satellite SST data[J]. J Climate, 2010, 23: 152-165. Yocky D A. Image merging and data fusion by means of the discrete two-dimensional wavelet transform[J]. Journal of Optical Society of America, 1995.12(9):1834-1841. Song Q, Chelton D B, Esbensen S K, et al. Coupling between sea surface temperature and low-level winds in mesoscale numerical models[J]. Journal of Climate, 2009, 22: 146-164
点击查看大图
计量
- 文章访问数: 2019
- HTML全文浏览量: 10
- PDF下载量: 2214
- 被引次数: 0