Utilization of GMS Data for Estimation of Ganges River Run-off

利用 GMS 数据估算恒河径流

基本信息

批准号：
08555127
负责人：
NISHIMURA Hitoshi
金额：
$ 0.96万
依托单位：
University of Tsukuba
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
1996
资助国家：
日本
起止时间：
1996 至 1997
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-08555127/
关键词：
satellite data analysis cloud analysis Ganges River basin 流出解析

项目摘要

Hardware for GMS-WEFAX data acquisition and software for their fundamental processing were provided within the last fiscal year. Programs were further developed and implemented for statistical analyzes of cloud-surface temperature distribution obtained from IR image. For widescale hydrological studies associated with Ganges River basin, cloud coverage is properly represented by FC distribution, where FC is the rate of pixels indicating lower temperature than 215ﾟK in a small square frame of 1ﾟ latitude/longitude. This index was successfully introduced into trial analyzes on both short-term and long-term meteorology in the present region.Insufficiency in time resolution was pointed out in tracing May 1996 tornado which attacked Bangladesh. Notably steep FC gradient, however, was detected along the south-east edge of the tornado. Such a finding in large-scale meteorology is important for future tornado forecasting.Extensive analysis of FC distrbutions in 1996 monsoon season (May through september) revealed regular diurnal generation and decay of clouds over a wide area of Bangladesh and adjoining Ganges River and Bengal Bay. Variation in cloud coverage in comprehensively described by means of pseudo-vector expression. This technique will contribute to the macroscopic study of monsoon and associated precipitation.Existing data on regional topography, precipitation and river run-off were compiled, although they are sufficient neither in quality nor in quantity. The Disaster Prev.Res.Center of Kyoto Univ., however, has been paying appreciable efforts toward accumulation of ground truth data, and compilation of GMS data has also become an established routine work. These data will hopfully be correlated for forecasting of Ganges River run-off within several years.

在上一个财政年度提供了用于GMS-Wefax数据采集的硬件和针对其基本处理的软件。进一步开发了程序，并实施了从IR图像获得的云表面温度分布的统计分析。对于与恒河河盆地相关的宽度水文研究，云覆盖范围由FC分布适当地表示，其中FC是在1 ﾟ纬度/经度的小方形框架中表明温度低于215 k的像素的速率。该指数已成功地引入了目前地区的短期和长期气象的试验分析中。在1996年5月的Tracing Tornado袭击了孟加拉国的龙卷风中指出了时间分辨率的不足。然而，沿龙卷风的东南边缘检测到了陡峭的FC梯度。大规模气象学中的这一发现对于未来的龙卷风预测很重要。对1996年季风季节（5月至9月）的FC鸿沟的扩展分析表明，定期的异质性产生和在孟加拉国广泛地区以及毗邻的恒河河和孟加拉湾的云层中衰落。通过伪矢量表达方式，全面描述的云覆盖率变化。该技术将有助于季风和相关降水的宏观研究。存在有关区域地形，降水和河流径流的数据，尽管它们的质量也足够，也可以数量。然而，京都大学的中心灾难。这些数据很乐意在几年内预测恒河河径流的关联。