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Enhancing Information Content in the Satellite-Derived Daytime Infrared Sea Surface Temperature Dataset Using a Transformative Approach
Frontiers in Marine Science ( IF 2.8 ) Pub Date : 2020-09-25 , DOI: 10.3389/fmars.2020.556626
Prabhat K. Koner

The regression-based operational daytime Sea Surface Temperature (SST) retrieval from remote sensing Infrared (IR) measurements does not conventionally use Mid-Wave IR (MWIR) channels due to solar contamination. However, MWIR channels are desirable to obtain unambiguous surface information. A transformative approach, Physical Deterministic Sea Surface Temperature (PDSST) retrieval scheme, including MWIR channels, to enhance the information content in satellite-derived SST data, is presented here. This paper mainly emphasizes on the quality and availability of swath-processed daytime SSTs from MODIS-AQUA radiances using the PDSST suite, including MWIR channels, for coastal and near-coastal areas, which are needed the most. The focus areas of this study are the California coast in the Pacific Ocean, which is a highly dynamic oceanographic region, the Bay of Bengal in the Indian Ocean, which has a sparse population of in situ, and the Chesapeake Bay in the Atlantic Ocean, which is best known for seafood production. Apart from in situ validation using iQuam (NOAA), indirect validation, by comparing different SST products, is also performed. The results of PDSST-suite are compared with the currently operational MODIS-AQUA SSTs, obtained from the NASA website, and microwave SSTs from AMSR2, obtained from RSS website. Both the operational products are based on the regression method. It is found that the PDSST suite including MWIR channels can extract 3−5 times as much information as the currently operational NASA-produced regression-based daytime SSTs from MODIS-AQUA radiances for coastal areas. Oceanic fronts’ study is also included by using the increased information content of satellite-derived SSTs from PDSST.

中文翻译:

使用变革性方法增强卫星衍生的日间红外海面温度数据集中的信息内容

由于太阳污染,基于回归的操作性白天海面温度 (SST) 从遥感红外 (IR) 测量中反演通常不使用中波红外 (MWIR) 通道。然而,需要 MWIR 通道来获得明确的表面信息。这里介绍了一种变革性的方法,即物理确定性海面温度 (PDSST) 检索方案,包括 MWIR 通道,以增强卫星衍生 SST 数据中的信息内容。本文主要强调使用 PDSST 套件(包括 MWIR 通道)从 MODIS-AQUA 辐射中获得的条带处理日间 SST 的质量和可用性,用于沿海和近沿海地区,这是最需要的。本研究的重点区域是太平洋的加利福尼亚海岸,这是一个高度动态的海洋学区域,印度洋的孟加拉湾,就地人口稀少;大西洋的切萨皮克湾,以海鲜生产而闻名。除了使用 iQuam (NOAA) 进行原位验证外,还可以通过比较不同的 SST 产品进行间接验证。PDSST 套件的结果与从 NASA 网站获得的当前运行的 MODIS-AQUA SST 和从 RSS 网站获得的 AMSR2 的微波 SST 进行了比较。两个运营产品均基于回归方法。发现包括 MWIR 通道的 PDSST 套件可以从沿海地区的 MODIS-AQUA 辐射中提取的信息是当前运行的 NASA 产生的基于回归的白天 SST 的 3-5 倍。
更新日期:2020-09-25
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