Thunderstorm Nowcasting in India: A Survey

Lovedeep Kaur, Dr. Amardeep Singh, Dr. Navdeep Kanwal
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Abstract

Abstract Thunderstorm is a major threat to life. In India it is a major disaster which causes loss of life and property every year. It is a meteorological phenomenon occurs in different parts of India which includes heavy rainfall, strong wind, hailstorm, dust storm or lightning. The earlier prediction of thunderstorms is crucial for public safety and awareness. Thunderstorm prediction is essential for public safety that’s why precision and accuracy in predicting thunderstorms is very important. Thunderstorm is a phenomenon which occurs due to formation of convection cells and the lifetime of one convection cell is less than an hour so nowcasting or short term forecasting is recommended for thunderstorms in which the model predicts the initiation, development and direction of thunderstorms sub-hourly. Indian Meteorological department uses satellites that are INSAT-3DR (74°E), INSAT-3D (84°E) & Kalpana-1 (72.4°E) operationally for forecasting. Approximately 200 Agro-Automated Weather Station (Agro- AWS), 806 Automatic weather stations, 1382 Automatic Rain gauges, 83 lightning sensors along with 63 Pilot balloon upper air observation stations serve as the backbone of weather observation services of IMD throughout the country. In addition IMD has 39 Doppler Weather Radars (DWRs) well distributed across the country to monitor severe weather events. Due to advancement in technology, the thunderstorm nowcasting techniques also evolved. Now a days , radar based techniques like TITAN (Thunderstorm Identification, Tracking and Nowcasting), satellite based techniques, Numerical weather prediction, machine learning and deep learning techniques play a vital role in nowcasting. The study also discuss about the challenges faced by meteorologists during thunderstorm nowcasting. Key Words: Thunderstorm, Weather Prediction, Nowcasting
印度的雷暴预报:调查
摘要 雷暴是对生命的一大威胁。在印度,它是每年都会造成生命和财产损失的重大灾害。它是一种发生在印度不同地区的气象现象,包括暴雨、强风、冰雹、沙尘暴或闪电。及早预测雷暴对公众安全和认识至关重要。雷暴预测对公共安全至关重要,因此雷暴预测的精确性和准确性非常重要。雷暴是由于对流细胞的形成而发生的现象,一个对流细胞的寿命不到一小时,因此建议对雷暴进行即时预报或短期预报,在这种模式下,模型每小时预测一次雷暴的开始、发展和方向。印度气象部门使用 INSAT-3DR 卫星(74°E)、INSAT-3D 卫星(84°E)和 Kalpana-1 卫星(72.4°E)进行预报。约 200 个农业自动气象站(Agro-AWS)、806 个自动气象站、1382 个自动雨量计、83 个闪电传感器和 63 个试点气球高空观测站是 IMD 在全国提供气象观测服务的骨干力量。此外,国际气象局还在全国各地设立了 39 个多普勒天气雷达 (DWR),以监测恶劣天气事件。由于技术的进步,雷暴预报技术也得到了发展。如今,基于雷达的技术如 TITAN(雷暴识别、跟踪和预报)、基于卫星的技术、数值天气预报、机器学习和深度学习技术在预报中发挥着重要作用。研究还讨论了气象学家在雷暴预报过程中面临的挑战。关键字雷暴、天气预报、预报
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