2015年4月21日比哈尔邦强雷暴活动的卫星近预报模拟研究

SPIE Asia-Pacific Remote Sensing Pub Date : 2016-05-09 DOI:10.1117/12.2222740

S. Goyal, Ashish Kumar, Ghansham Sangar, M. Mohapatra

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引用次数: 7

摘要

基于卫星的临近预报技术是定制版的预测和跟踪云团的演变(ForTraCC)，它使用外推技术，允许跟踪中尺度对流系统(MCS)的辐射和形态特性，并使用红外卫星图像预测这些特性的演变(基于云顶亮度、温度和云团面积)长达360分钟。气象卫星的热红外(TIR)通道被广泛用于研究与深对流有关的云系统的行为。这种方法的主要优点是，对全球大部分地区来说，最好的统计数据只能从卫星观测中获得。这种卫星调查将提供涵盖推广结果所需的气象条件范围的MCSs统计数据，而另一方面，只有卫星观测才能涵盖非常大的空间和时间范围。该算法脚本取自巴西科学家daniel Vila博士，并将其实现到印度环境中，并与INSAT-3D hdf5数据格式兼容。对于印度地区，它利用INSAT-3D卫星TIR1 (10.8 μm)通道数据并创建临近预报。通过生成hdf5格式的输出，使输出与基于GUI的软件MIAS兼容，以便更好地理解和分析预测。该算法的主要特点是基于云顶亮度温度(CTBT)和面积(分别为≤235ºK和≥2400 km2)进行云簇检测。基于连续图像中MCS重叠区域的跟踪技术。该脚本已在辅助数据处理系统(ADPS)中实现自动化，每半小时生成一次预报文件，并将输出文件转换为geotiff格式。geotiff文件很容易转换成KMZ文件格式使用ArcGIS软件覆盖它在谷歌地图和托管在web服务器上。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Severe thunderstorm activity over Bihar on 21st April, 2015: a simulation study by satellite based Nowcasting technique

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 ºK and ≥2400 km2 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.

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SPIE Asia-Pacific Remote Sensing

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