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首页> 外文期刊>SOLA: Scientific Online Letters on the Atmosphere >Improvement of Rainfall Forecast by Assimilations of Ground-Based GPS Data and Radio Occultation Data
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Improvement of Rainfall Forecast by Assimilations of Ground-Based GPS Data and Radio Occultation Data

机译：通过将地面GPS数据和无线电掩星数据同化来改进降雨预报

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References(7) Cited-By(1) Supplementary materials(1) Impacts of three kinds of GPS-derived water vapor data, i.e., precipitable water vapor (PWV), slant water vapor (SWV) and radio occultation (RO) data, were investigated using the Meso 4D-Var system of Japan Meteorological Agency (JMA) for a heavy rainfall case on 16 July 2004. When PWV or SWV data were assimilated individually, water vapor in the rainfall region was increased and on the northern sides was decreased, and then the shape of the rainfall region became similar to the observed one. However, the reproduced rainfall amount remained smaller than the observed one. Compared with PWV, SWV made the horizontal contrast of water vapor larger. When RO data were assimilated, the low-level water vapor was increased so that the rainfall amount was largely increased. However, the rainfall region became wider than the observed one. When SWV and RO data were assimilated simultaneously, low-level water vapor in the rainfall region and on its southern side was increased, and then both shapes of rainfall region and of rainfall amount became similar to the observed ones.
机译：参考文献（7）引用依据（1）补充资料（1）三种GPS衍生水汽数据的影响，即可沉淀水汽（PWV），斜水汽（SWV）和无线电掩星（RO）数据，在2004年7月16日使用日本气象厅（JMA）的Meso 4D-Var系统对一次强降雨案例进行了调查。当单独吸收PWV或SWV数据时，降雨区的水汽增加而北侧的水汽减少，然后降雨区的形状变得与观测到的相似。但是，再现的降雨量仍然小于观测到的降雨量。与PWV相比，SWV使水蒸气的水平对比度更大。当反渗透数据被吸收时，低水平的水汽增加，从而降雨量大大增加。但是，降雨区域变得比观测区域宽。同时将SWV和RO数据同化时，降雨区及其南侧的低水平水汽增加，然后降雨区的形状和降雨量都变得与观测到的相似。

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