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A comparison of SSM/I-derived global marine surface specific humidity datasets

机译:ssm / I衍生的全球海洋表面特定湿度数据集的比较

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摘要

Satellite-based microwave sensors have, since the 1980s, provided a means to retrieve near-surface marine specific humidity (qa), accurate estimation of which is necessary for climate and air–sea interaction applications. Seven satellite measurement-derived monthly mean humidity datasets are compared with one another and with a dataset constructed from in situ measurements. The means, spatial and temporal structures of the datasets are shown to be markedly different, with a range of yearly, global mean qa of ∼1 g kg–1. Comparison of the datasets derived using the same satellite measurements of brightness temperature reveals differences in qa that depend on the source of satellite data; the processing and quality control applied to the data; and the algorithm used to derive qa from the satellite measurements of brightness temperature. Regional differences between satellite-derived qa due to the choice of input data, quality control and retrieval algorithm can all exceed the accuracy requirements for surface flux calculation of ∼0.3 g kg–1 and in some cases can be several g kg–1 in monthly means for some periods and regions.
机译:自1980年代以来,基于卫星的微波传感器提供了一种获取近地表海洋特定湿度(qa)的方法,对于气候和海海相互作用应用,必须精确估算该值。将七个卫星测量得出的月平均湿度数据集相互比较,并与从现场测量结果构建的数据集进行比较。结果表明,数据集的均值,时空结构明显不同,年度全球平均qa的范围约为1 g kg-1。使用相同的卫星亮度温度测量结果得出的数据集的比较表明,qa的差异取决于卫星数据的来源。应用于数据的处理和质量控制;以及用于从卫星的亮度温度测量结果中得出qa的算法。由于选择输入数据,质量控制和检索算法而导致的卫星衍生质量保证之间的区域差异都可以超过表面通量计算的精度要求,约为0.3 g kg-1,并且在某些情况下每月可以达到几g kg-1表示某些时期和地区。

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