Improving the Prediction of Thunderstorms using Dual-Resolution Hybrid Ensemble – Variational Data Assimilation System using WRF model.
Implementing Organization
Indian Institute of Space Science and Technology (IISST), Thiruvananthapuram, Kerala
Principal Investigator
Dr. Govindan Kutty M
Indian Institute of Space Science and Technology, Valiamala Thiruvananthapuram - 695 457 Dr. Govindan Kutty M, Department of Earth and Space Sciences, Indian Institute of Space Science and Technology, Valiamala Thiruvananthapuram - 695 457
Department of Earth and Space Sciences
govindatmos@gmail.com,govind@iist.ac.in
CO-Principal Investigator
Dr. Rakesh V CSIR- Fourth Paradigm Institute (CSIR-4PI)
Belur Campus, Bengaluru-56 00 37
NAL Wind tunnel Road
rakeshv82@gmail.com,rakesh@csir4pi.in
Project Overview
The program aims to quantify the role of flow-dependent covariances in the DA system for severe convective events in convection permitting resolution, especially over data sparse regions and complex topography. The high-resolution analysis will be generated in a computationally efficient manner using dual resolution Hybrid DA system. Further, the choice of inflation parameters and covariance localization can significantly affect the performance of ensemble DA assimilation schemes. It is proposed to estimate the optimal values of these parameters, which can be implemented in real-time operational forecasts of thunderstorm forecasts.
Indian Institute of Space Science and Technology (IISST), Thiruvananthapuram, Kerala
Department of Earth and Space Sciences
govindatmos@gmail.com,govind@iist.ac.in
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