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cap Surat: With the globe experiencing extreme weather conditions like very heavy rains and cyclones, India is no exception and especially the urban areas are the worst affected. With a vision to prognosticate the weather extremities, Niket Shastri, a city-based researcher, has developed an index that helps forecast heavy rain at least 24 hours in advance. Shastri developed the Cloud Detection Index (CDI) during his doctoral study on “Remote sensing of atmospheric water vapour and its forms over the Indian region and was recently awarded PhD degree from Sardar Vallabhbhai National Institute of Technology (SVNIT). “Extreme weather conditions and its recurrence are being noticed since the past decade or so. Mumbai rains are an example. I, therefore, planned to develop some method with which we can predict the extreme weather conditions accurately and stay prepared,” said Shastri, assistant professor in the department of physics at Sarvajanik College of Engineering and Technolo

Kamlesh pathakAniket shastriSardar vallabhbhai national institute of technologySarvajanik college of engineeringCloud detection indexSardar vallabhbhai national instituteSarvajanik collegeCity newsCity latest newsTimes of indiaLatest newsகமலேஷ் பதக்நீக்கேத் சாஸ்திரிசர்தார் வல்லபாய் தேசிய நிறுவனம் ஆஃப் தொழில்நுட்பம்சார்வஜனிக் கல்லூரி ஆஃப் பொறியியல்மேகம் கண்டறிதல் குறியீட்டு