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Impact of GPS and TMI Precipitable Water Data on Mesoscale Numerical Weather Prediction Model Forecasts

机译:GPS和TMI可降水量水数据对中尺度数值天气预报模式预报的影响

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摘要

Observation system experiments with JMA MesoScale model, were performed for precipitable water data derived from TMI (TRMM Microwave Imager) and ground-based GPS observation, by using a fourdimensional variational assimilation method. Since GPS data exists over land only, and TMI data are available only over ocean, use of both data can provide information about water vapor complementally over whole analysis domain. Although the number of experiments is not sufficient yet, the results so far suggest that the complementary use of TMI and GPS precipitable water data, can improve the precipitation forecast of the model.
机译:通过使用多维变分同化方法,对来自TMI(TRMM微波成像仪)和地面GPS观测的可沉淀水数据进行了JMA MesoScale模型观测系统实验。由于GPS数据仅在陆地上存在,而TMI数据仅在海洋上可用,因此使用这两种数据可以在整个分析范围内互补地提供有关水蒸气的信息。尽管实验数量还不够,但是到目前为止的结果表明,TMI和GPS可沉淀水数据的互补使用可以改善模型的降水预报。

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