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Sea surface temperature (SST) dataset of the sea area along the Blet and Road (1981-2016)

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地球大数据科学工程2021-09-23 更新2024-10-12 收录
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The Optimum Interpolation sea surface temperature (OISST) analysis product provides complete ocean temperature fields constructed by using an optimum interpolation (OI) technique. The SST analysis has a spatial grid resolution of 0.25 degree and temporal resolution of 1 day. The product uses Advanced Very High Resolution Radiometer (AVHRR) satellite data from the Pathfinder AVHRR SST dataset when available for September 1981 through December 2005, and the operational Navy AVHRR Multi-Channel SST data for 2006 to the present day. Pathfinder AVHRR SST was chosen because of good agreement with the in-situ observation data. The product also uses sea ice datasets, in situ data from ships and buoys, and includes a large-scale adjustment of satellite biases with respect to the in-situ data. In areas where sea ice is present, SST is estimated from sea ice concentration datasets from NASA GSFC before 2005 and then from NOAA NCEP from 2005 onwards. The SST product is of great importance in the study of storm tide. Based on the SST product from 1981 to 2016, GEE was used to tailor the masks of the sea area along the Blet and Road. Finally, the 16-day synthetic sea surface temperature dataset of the sea area along the Blet and Road from 1981 to 2016 was obtained.

最优插值海表温度(Optimum Interpolation Sea Surface Temperature, OISST)分析产品采用最优插值(Optimum Interpolation, OI)技术构建完整的海洋温度场。该海表温度分析的空间网格分辨率为0.25°,时间分辨率为1日。1981年9月至2005年12月期间,该产品优先采用来自Pathfinder AVHRR海表温度数据集(Pathfinder AVHRR SST dataset)的先进甚高分辨率辐射计(Advanced Very High Resolution Radiometer, AVHRR)卫星数据;2006年至今,则使用海军现役AVHRR多通道海表温度数据。选用该Pathfinder AVHRR海表温度数据集,是因其与原位观测数据的吻合度优异。该产品同时融合海冰数据集、船舶与浮标原位观测数据,并针对原位数据对卫星偏差开展了大范围校正。在存在海冰的区域,2005年之前的海表温度由美国国家航空航天局戈达德航天飞行中心(National Aeronautics and Space Administration Goddard Space Flight Center, NASA GSFC)的海冰密集度数据集反演得到;2005年之后,则改用美国国家海洋和大气管理局国家环境预报中心(National Oceanic and Atmospheric Administration National Centers for Environmental Prediction, NOAA NCEP)的相关数据集。该海表温度产品在风暴潮研究中具有重要价值。研究人员基于1981年至2016年的海表温度产品,借助GEE定制了布莱特与罗德(Blet and Road)沿线海域的掩膜数据,最终得到1981年至2016年布莱特与罗德沿线海域的16天合成海表温度数据集。
创建时间:
2022-03-30
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