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首页> 外文期刊>The Global Atmosphere and Ocean System >ANALYSES OF ORISSA SUPER CYCLONE USING TRMM (TMI), DMSP (SSM/I) AND OCEANSAT-I (MSMR) DERIVED DATA
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ANALYSES OF ORISSA SUPER CYCLONE USING TRMM (TMI), DMSP (SSM/I) AND OCEANSAT-I (MSMR) DERIVED DATA

机译：使用TRMM（TMI），DMSP（SSM / I）和OCEANSAT-I（MSMR）得出的数据对ORISSA超级旋风分离器进行分析

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The super cyclone in October 1999 was the most intense tropical cyclone in the last century in Orissa. a coastal state in India. This state was battered for more than two days by strong winds and intense rain killing thousands of people. The main objective of this study is to examine the impact of total precipitable water content (TPWC) and surface wind speed data from sensors on board the Tropical Rainfall Measuring Mission (TRMM), Defense Meteorological Satellite Project (DMSP), and Indian Remote Sensing Satellite (OceanSat-I) satellites on the data assimilation system at NCMRWF, New Delhi during the Orissa cyclone period. Comparison of various assimilation experiments suggests that the utilization of TRMM Microwave Imager (TMI) data in the assimilation produced the best analyses. However, in all the forecasts, the storm was predicted to weaken and did not have a reasonably good track. Assimilation experiments with the other two satellite data showed the cyclone track much to the south of the observed track and also it was a weak storm. Biases in the data, when compared with each other, are evident in the analyses also. Better analyses are obtained when the satellite data are used in the originally obtained resolution than when reduced by averaging. A forecast experiment with assimilated data, utilizing the Cloud Motion Vectors (CMVs) from METEOSAT along with TMI data, produced the best forecast among all the experiments. However, the forecast quality was poor. A high-resolution data assimilation experiment was carried out to see the impact of model resolution on the analyses of the cyclone. The strength of the cyclone further increased when higher resolution TMI data were included. The study highlights the need for more satellite data over the Indian Ocean, where conventional data coverage is too poor to define the vertical structure of the atmosphere.
机译：1999年10月的超级旋风是上世纪奥里萨邦最强烈的热带气旋。印度的一个沿海国家。这种状态被强风和大雨摧残了超过两天，造成数千人丧生。这项研究的主要目的是检查热带降水测量任务（TRMM），国防气象卫星项目（DMSP）和印度遥感卫星上传感器的总可沉淀水分（TPWC）和地表风速数据的影响（OceanSat-I）卫星在奥里萨邦飓风期间位于新德里NCMRWF的数据同化系统上。各种同化实验的比较表明，在同化中利用TRMM微波成像仪（TMI）数据进行了最佳分析。但是，在所有预测中，预计风暴将减弱并且没有合理的跟踪。同其他两个卫星数据的同化实验表明，气旋轨道位于观测轨道的南部，而且也是微弱的风暴。当相互比较时，数据中的偏差在分析中也很明显。当以原始获得的分辨率使用卫星数据时，比通过平均减少分辨率时，可获得更好的分析。利用来自METEOSAT的Cloud Motion Vectors（CMV）和TMI数据对同化数据进行的预测实验在所有实验中产生了最好的预测。但是，预测质量很差。进行了高分辨率的数据同化实验，以查看模型分辨率对旋风分析的影响。当包含更高分辨率的TMI数据时，旋风分离器的强度会进一步提高。该研究强调，印度洋需要更多的卫星数据，因为印度洋的常规数据覆盖范围太差，无法定义大气的垂直结构。

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