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首页> 外文期刊>Journal of Geophysical Research, C. Oceans: JGR >Influence of availability of TAO data on NCEP ocean data assimilation systems along the equatorial Pacific
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Influence of availability of TAO data on NCEP ocean data assimilation systems along the equatorial Pacific

机译：TAO数据的可获得性对赤道太平洋NCEP海洋数据同化系统的影响

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摘要

It is reasonable to assume that the quality of an ocean reanalysis will depend not only on the ocean data assimilation system but also on the availability of observational data. Among the data assimilated in the tropical Pacific, observations from the Tropical Atmosphere Ocean (TAO) moored array are an important contributor. Due to various reasons, in the last couple of years, TAO had a very low data delivery rate at some of the mooring sites. In this work, we examined the influence of the availability of in situ TAO data from all 10 equatorial mooring sites in 1999–2014 by comparing ocean temperature from two data assimilation systems at National Centers for Environmental Prediction (NCEP): the Global Ocean Data Assimilation System (GODAS) and the Climate Forecast System Reanalysis (CFSR). Our working hypothesis is that missing of in situ observational data should lead to less observational constraint, and consequently, larger divergence between ocean reanalyses. Compared with periods of no in situ TAO observations, the disagreements of ocean temperature between CFSR and GODAS are indeed smaller when in situ TAO observations are available. The disagreements are largest along the thermocline due to its being the region of strongest variability. Thus, it is suggested that without the constraint of in situ TAO observations, the inconsistency between the ocean reanalyses from two NCEP data assimilation systems is larger, highlighting the contribution of TAO observations. Moreover, it is also suggested that the disagreement of ocean temperature between GODAS and CFSR is mainly caused by the difference of the models used in the assimilation systems and the impact of in situ TAO availability plays a secondary, but important role. To improve the quality of the assimilation products, it is necessary both to reduce model bias and to assimilate more high-quality data.
机译：可以合理地假设，海洋再分析的质量不仅取决于海洋数据同化系统，还取决于观测数据的可用性。在热带太平洋吸收的数据中，来自热带大气海洋（TAO）系泊阵列的观测值是重要的贡献。由于种种原因，在最近几年中，TAO在某些系泊点的数据传输率非常低。在这项工作中，我们通过比较国家环境预测中心（NCEP）的两个数据同化系统的海水温度：1999年至2014年所有10个赤道系泊点的原位TAO数据的可用性的影响：全球海洋数据同化系统（GODAS）和气候预测系统再分析（CFSR）。我们的工作假设是，缺少原位观测数据应该导致较少的观测约束，因此，海洋再分析之间的差异更大。与没有原位TAO观测的时期相比，当可获得原位TAO观测时，CFSR和GODAS之间的海洋温度差异确实较小。沿着温跃线的分歧最大，因为它是变化最大的区域。因此，建议在没有原位TAO观测值约束的情况下，来自两个NCEP数据同化系统的海洋再分析之间的不一致性更大，突出了TAO观测值的贡献。此外，也有人认为，GODAS和CFSR之间的海洋温度差异主要是由于同化系统所用模型的差异，而原位TAO可用性的影响起着次要但重要的作用。为了提高同化产品的质量，有必要减少模型偏差并吸收更多高质量的数据。

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