Group Head
Dr. Purnachand Chuchukonda
Present Work:
Project Scientist-III
Supervisor: Dr. Anika Arora
My research spans satellite meteorology, ocean-atmosphere interaction and tropical cyclone studies, with a focus on retrieving and analysing geophysical parameters from spaceborne observations. A central contribution has been the development and validation of Sea Level Pressure retrieval from satellite scatterometer winds. Implemented operationally for Oceansat-2 and SCATSAT-1 under ISRO's NICES programme with direct applications in weather forecasting and cyclone monitoring.
My doctoral research focused on “Studies on Retrieval and Analysis of Sea Surface Pressure Fields from Satellite Data” investigated cyclone intensity and pressure variability over the regional Indian ocean. Related work on Latent Heat Flux estimation over the North Indian Ocean used satellite-derived water vapour to characterise air-sea heat exchange processes and its variability.
More recently, I have applied Artificial Neural Network techniques to tropical cyclone parameters prediction over the Indian Ocean, demonstrating the potential of AI-based approaches in operational meteorology. I have also contributed to disaster risk reduction through integrated hydro-meteorological forecasting systems and GIS-based risk assessment platforms for coastal hazard management, including the World Bank-funded Multi-Hazard Risk Assessment project for Andhra Pradesh.
Present Work:
Project Scientist-III
Supervisor: Dr. Anika Arora
My research spans satellite meteorology, ocean-atmosphere interaction and tropical cyclone studies, with a focus on retrieving and analysing geophysical parameters from spaceborne observations. A central contribution has been the development and validation of Sea Level Pressure retrieval from satellite scatterometer winds. Implemented operationally for Oceansat-2 and SCATSAT-1 under ISRO's NICES programme with direct applications in weather forecasting and cyclone monitoring.
My doctoral research focused on “Studies on Retrieval and Analysis of Sea Surface Pressure Fields from Satellite Data” investigated cyclone intensity and pressure variability over the regional Indian ocean. Related work on Latent Heat Flux estimation over the North Indian Ocean used satellite-derived water vapour to characterise air-sea heat exchange processes and its variability.
More recently, I have applied Artificial Neural Network techniques to tropical cyclone parameters prediction over the Indian Ocean, demonstrating the potential of AI-based approaches in operational meteorology. I have also contributed to disaster risk reduction through integrated hydro-meteorological forecasting systems and GIS-based risk assessment platforms for coastal hazard management, including the World Bank-funded Multi-Hazard Risk Assessment project for Andhra Pradesh.
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