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首页> 外文期刊>Journal of Geophysical Research, C. Oceans: JGR >Impacts of Argo salinity in NCEP Global Ocean Data Assimilation System: The tropical Indian Ocean
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Impacts of Argo salinity in NCEP Global Ocean Data Assimilation System: The tropical Indian Ocean

机译:Argo盐度对NCEP全球海洋数据同化系统的影响:热带印度洋

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Salinity profiles collected by the International Argo Project (International Argo Project data are available at http://argo.jcommops.org) since 2000 provide us an unprecedented opportunity to study impacts of salinity data on the quality of ocean analysis, which has been hampered by a lack of salinity observations historically. The operational Global Ocean Data Assimilation System (GODAS) developed at the National Centers for Environmental Prediction (NCEP) assimilates temperature and synthetic salinity profiles that were constructed from temperature and a local T-S climatology. In this study, we assess impacts of replacing synthetic salinity by Argo salinity on the quality of the GODAS ocean analysis with a focus on the tropical Indian Ocean. The study was based on two global ocean analyses for 2001–2006 with (NCEP_Argo) and without (NCEP_Std) inclusion of Argo salinity. The quality of the ocean analyses was estimated by comparing them with various independent observations such as the surface current data from drifters, the salinity data from the Triangle Trans-Ocean Buoy Network moorings, and the sea surface height (SSH) data from satellite altimeters. We found that by assimilating Argo salinity, the biases in the salinity analysis were reduced by 0.6 practical salinity units (psu) in the eastern tropical Indian Ocean and by 1 psu in the Bay of Bengal. Associated with these salinity changes, the zonal current increased by 30–40 cm s?1 toward the east in the central equatorial Indian Ocean during the winter seasons. When verified against drifter currents, the biases of the annually averaged zonal current in the tropical Indian Ocean were reduced by 5–10 cm s?1, and the root-mean-square error of surface zonal current was reduced by 2–5 cm s?1. The SSH biases were reduced by 3 cm in the tropical Indian Ocean, the Bay of Bengal, and the Arabian Sea. These results suggest that the Argo salinity plays a critical role in improving salinity analysis, which in turn contributed to improved surface current and sea surface height analyses.
机译:自2000年以来,国际Argo项目收集的盐度剖面图(国际Argo项目数据可在http://argo.jcommops.org上获得)为我们提供了前所未有的机会来研究盐度数据对海洋分析质量的影响,但这种影响受到了限制历史上缺乏盐度观测。在国家环境预测中心(NCEP)上开发的可运行的全球海洋数据同化系统(GODAS)吸收了由温度和当地的T-S气候学构成的温度和合成盐度剖面。在这项研究中,我们评估了用Argo盐度代替合成盐度对GODAS海洋分析质量的影响,重点是热带印度洋。该研究基于2001-2006年的两次全球海洋分析,其中有(NCEP_Argo)和没有(NCEP_Std)包含Argo盐度。通过将海洋分析的质量与各种独立的观测值进行比较,来评估海洋分析的质量,例如,来自漂流者的地表电流数据,来自三角洲跨洋浮标网络系泊的盐度数据以及来自卫星高度计的海面高度(SSH)数据。我们发现,通过吸收Argo盐度,盐度分析中的偏差在东部热带印度洋中减少了0.6实用盐度单位(psu),在孟加拉湾中减少了1 psu。与这些盐度变化相关联,在冬季,向赤道中部印度洋东部的纬向潮流增加了30–40 cm s?1。经漂移电流验证后,热带印度洋年平均纬向电流的偏差降低了5-10 cm s?1,表面纬向电流的均方根误差降低了2-5 cm s 1。在热带印度洋,孟加拉湾和阿拉伯海,SSH偏差减少了3 cm。这些结果表明Argo盐度在改善盐度分析中起着至关重要的作用,而盐度分析反过来又有助于改善地表洋流和海面高度分析。

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