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A comparison and validation of algorithms for retrieving water vapor content from SSM/I over ocean

机译:海洋中从SSM / I检索水汽含量的算法的比较和验证

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A matchup dataset that contains the SSM/I measurements from F14 satellite and the columnar water vapor (CWV) radiosoundings taken in or near the China Sea was established to cover the period from April 1998 to June 1999. CWVs retrieved from two statistical and two semistatistical retrieval algorithms were compared to radiosonde CWVs using the matchup dataset. It is indicated that the root-mean-square (RMS) error of these retrievals relative to the radiosonde data ranges from 4.483 kg m~(-2) to 10.180 kg m~(-2). Three improved algorithms were developed and validated using the matchup dataset. It is demonstrated that these improved algorithms can be applied to the China Sea for retrieving CWV from the SSM/I with better accuracies relative to the four typical existing algorithms.
机译:建立了一个包含F14卫星的SSM / I测量值和在中国海或附近海域采集的柱状水蒸气(CWV)无线电声波的匹配数据集,以涵盖1998年4月至1999年6月这段时期。CWV从两个统计和两个半统计中检索到使用匹配数据集将检索算法与无线电探空仪CWV进行比较。结果表明,这些反演相对于探空仪数据的均方根误差在4.483 kg m〜(-2)至10.180 kg m〜(-2)之间。使用对等数据集开发并验证了三种改进的算法。结果表明,与现有的四种典型算法相比,这些改进的算法可以应用于中国海从SSM / I中检索CWV。

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