Preliminary Investigation of Assimilating Global Synthetic Weather Radar

Preliminary Investigation of Assimilating Global Synthetic Weather Radar
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同化全球合成天气雷达的初步研究

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通讯作者:
John W. Raby
John W. Raby
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作者:
Brian P. Reen;Huaqing Cai;John W. Raby

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通常通过雷达获得的某些领域的近乎全球覆盖。该报告记录了在数值天气预报模型中同化 GSWR 数据的首次尝试。 GSWR 柱最大反射率源自卫星仪器等来源,用于创建估计的反射率垂直剖面,然后将其转换为加热项,并使用先前雷达数据工作中演示的方法进行同化。修改同化技术以更好地同化GSWR数据;这些修改包括允许 GSWR 数据直接修改降水水凝物、云水和水蒸气。 GSWR 数据的同化表明,对于所研究的两个案例,湿对流位置的短期预测有所改善。需要进一步的工作来扩展到更多案例,继续改进同化方法,并评估 GSWR 数据和模型预测,将 GSWR 与雷达观测同化
near-global coverage of certain fields normally obtained via radar. This report documents what appears to be the first attempt to assimilate GSWR data in a numerical weather prediction model. Derived from sources including satellite-based instrumentation, the GSWR column maximum reflectivity is used to create an estimated vertical profile of reflectivity, which is then converted to a heating term and assimilated using methods demonstrated in previous work with radar data. The assimilation technique is modified to better assimilate the GSWR data; these modifications include allowing the GSWR data to directly modify precipitation hydrometeors, cloud water, and water vapor. The assimilation of the GSWR data shows improvement in short-term forecasts of the placement of moist convection for the two cases studied. Further work is needed to expand to additional cases, continue to improve the assimilation method, and evaluate GSWR data and model forecasts assimilating GSWR against radar observations