首页> 外文会议>SPIE Conference on Remote Sensing of the Atmosphere, Clouds, and Precipitation >Severe thunderstorm activity over Bihar on 21~(st) April, 2015: A simulation study by 'Satellite based Nowcasting Technique'
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Severe thunderstorm activity over Bihar on 21~(st) April, 2015: A simulation study by 'Satellite based Nowcasting Technique'

机译:2月21日(ST)21〜(ST)的重型雷暴活动:2015年4月:“基于卫星的讽刺技术”的模拟研究

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Satellite based Nowcasting technique is customized version of Forecast and Tracking the Evolution of Cloud Clusters (ForTraCC), it uses the extrapolation technique that allows for the tracking of Mesoscale convective systems (MCS) radiative and morphological properties and forecasts the evolution of these properties (based on cloud-top brightness temperature and area of the cloud cluster) up to 360 minutes, using infrared satellite imagery. The Thermal Infrared (TIR) channel of the weather satellite has been broadly used to study the behaviour of the cloud systems associated with deep convection. The main advantage of this approach is that for most of the globe the best statistics can only be obtained from satellite observations. Such a satellite survey would provide the statistics of MCSs covering the range of meteorological conditions needed to generalize the result and on the other hand only satellite observations can cover the very large range of space and time scale. The algorithm script is taken from Brazilian Scientist Dr. Danial Vila and implemented it into the Indian environment and made compatible with INSAT-3D hdf5 data format. For Indian region it utilizes the INSAT-3D satellite data of TIR1 (10.8 μm) channel and creates nowcast. The output is made compatible with GUI based software MIAS by generating the output in hdf5 format for better understanding and analysis of forecast. The main features of this algorithm are detection of Cloud Cluster based on Cloud Top Brightness Temperature (CTBT) and area i.e. <235 °K and>2400 km~2 respectively. The tracking technique based on MCS overlapping areas in successive images. The script has been automized in Auxiliary Data Processing System (ADPS) and generating the forecast file in every half an hour and convert the output file in geotiff format. The geotiff file is easily converted into KMZ file format using ArcGIS software to overlay it on google map and hosted on the web server.
机译:基于卫星的讽刺技术是定制版本的预测和跟踪云集群的演变(FORTRACC),它使用了推断技术,允许跟踪Mescle对流系统(MCS)辐射和形态特性,并预测这些性质的演变(基于在云亮度温度和云集群面积上),最多可使用红外卫星图像。天气卫星的热红外(TIR)通道已广泛用于研究与深对流相关的云系统的行为。这种方法的主要优点是,对于大多数地球仪来说,最佳统计数据只能从卫星观察中获得。这种卫星调查将提供覆盖概括结果所需的气象条件范围的MCSS的统计数据,另一方面只有卫星观察才能覆盖大范围的空间和时间尺度。算法脚本从巴西科学家丹利维拉博士拍摄,并将其实施到印度环境中,并与Insat-3D HDF5数据格式兼容。对于印度地区,它利用TiR1(10.8μm)通道的Insat-3D卫星数据,并创建了截然不同。通过以HDF5格式生成输出来兼容GUI基于GUI的软件MIA,以便更好地理解和分析预测。该算法的主要特征是基于云顶亮度温度(CTBT)和区域的云簇检测分别为<235°K和> 2400 km〜2。基于MCS重叠区域在连续图像中的跟踪技术。该脚本已在辅助数据处理系统(ADP)中自动化,并在每半小时内生成预测文件,并以地理灯格式转换输出文件。使用ArcGIS软件轻松转换为KMZ文件格式,将其覆盖在Google地图上并托管在Web服务器上。

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