Convective weather event monitoring with multispectral image analysis of INSAT-3D/3DR over Indian domain

IF 0.7 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES MAUSAM Pub Date : 2023-10-01 DOI:10.54302/mausam.v74i4.6176
C. S. TOMAR, RAJIV BHATLA, V. K. SONI, R. K. GIRI
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Abstract

Pre-monsoon season (March to May) is very challenging as convective activities prevails almost throughout the country. Most of the Rabi crops harvesting affected and sometimes suffer great losses due to sudden rain or high winds. INSAT-3D/3DR satellite images and derived products provides continuous support to the forecasters and end users in monitoring such events and thereafter significant value addition improves the prediction. This information was found to be very useful where actual ground based or upper air observations are limited or especially over data sparse or difficult terrain regions. In this work, we have examined three weather events at different Geographical locations (i) Rainfall over Bihar-24-26 June, 2020 (ii) Delhi & NCR region on 17 June, 2022 (iii) NE region activity in 16-18 June, 2022. The Real Time Analysis of Products and Information Dissemination (RAPID) web based tool was utilized in monitoring and diagnosing the convective weather events based on the brightness temperature & derived products like Outgoing longwave radiation, upper tropospheric humidity, insolation etc & RGB imagery composite in terms of day & night time microphysics daily operational products. The time series of the wind derived products for Delhi NCR rainfall and NE rainfall products also generated through RAPID. The synoptic model analysis provides valuable inputs for these mesoscale convective weather events. The southerly wind flow (at 925 hPa) and velocity convergence (at 500 hPa) analysis of European Centre for Medium Range Weather Forecasting (ECMWF) supports the severity of NE event occurred on 16-18 June, 2022. Therefore, utilization of near real time INSAT-3D/3DR products along with appropriate synoptic model analysis can help the forecasters to understand better about such mesoscale convective events & accurate forecast with sufficient lead time can save the life and property.
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基于INSAT-3D/3DR多光谱图像分析的印度地区对流天气事件监测
季风前季节(3月至5月)非常具有挑战性,因为对流活动几乎遍及全国。大多数拉比人的农作物收成受到影响,有时由于突然下雨或大风而遭受巨大损失。INSAT-3D/3DR卫星图像及其衍生产品为预报员和最终用户监测此类事件提供了持续的支持,此后显著的增值改进了预测。在实际地面或高空观测有限的情况下,特别是在数据稀疏或地形复杂的地区,这种资料非常有用。在这项工作中,我们研究了不同地理位置的三个天气事件(i) 2020年6月24日至26日比哈尔邦的降雨(ii)德里和;2022年6月16日至18日东北地区的活动。利用基于web的产品实时分析与信息传播(RAPID)工具对基于亮度温度和亮度的对流天气事件进行监测和诊断。输出长波辐射、对流层上层湿度、日晒等衍生产品;按日计算的RGB图像合成夜间微物理日常操作产品。德里NCR降水和东北降水产品的风衍生产品的时间序列也通过RAPID生成。天气模式分析为这些中尺度对流天气事件提供了有价值的输入。欧洲中期天气预报中心(ECMWF)的925 hPa南风流和500 hPa速度辐合分析支持了2022年6月16-18日发生的NE事件的严重程度。因此,利用近乎实时的INSAT-3D/3DR产品以及适当的天气模式分析可以帮助预报员更好地了解这种中尺度对流事件。准确的预报和充足的提前时间可以挽救生命和财产。
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来源期刊
MAUSAM
MAUSAM 地学-气象与大气科学
CiteScore
1.20
自引率
0.00%
发文量
1298
审稿时长
6-12 weeks
期刊介绍: MAUSAM (Formerly Indian Journal of Meteorology, Hydrology & Geophysics), established in January 1950, is the quarterly research journal brought out by the India Meteorological Department (IMD). MAUSAM is a medium for publication of original scientific research work. MAUSAM is a premier scientific research journal published in this part of the world in the fields of Meteorology, Hydrology & Geophysics. The four issues appear in January, April, July & October.
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