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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >A comparison of SSM/I-derived global marine surface-specific humidity datasets
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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 (q(a)), 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 q(a) of approximate to 1gkg(-1). Comparison of the datasets derived using the same satellite measurements of brightness temperature reveals differences in q(a) that depend on the source of satellite data; the processing and quality control applied to the data; and the algorithm used to derive q(a) from the satellite measurements of brightness temperature. Regional differences between satellite-derived q(a) due to the choice of input data, quality control and retrieval algorithm can all exceed the accuracy requirements for surface flux calculation of approximate to 0.3gkg(-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就提供了一种检索近地表海洋比湿(q(a))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。数据集的均值,时空结构显示出明显不同,年度全球平均值q(a)的范围约为1gkg(-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,q(a)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值中得出q(a)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派生的q(a)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0.3gkg(-1),在某些情况下可以达到几g在某些时期和地区,每月平均千克(-1)。

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