Earth, Atmosphere & Environment Sciences
Title : | Improving the Prediction of Thunderstorms using Dual-Resolution Hybrid Ensemble – Variational Data Assimilation System using WRF model. |
Area of research : | Earth, Atmosphere & Environment Sciences |
Focus area : | Atmospheric Science |
Principal Investigator : | Dr. Govindan Kutty M, Department of Earth and Space Sciences, 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 |
Timeline Start Year : | 2021 |
Details
Executive Summary : | 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. |
Co-PI: | Dr. Rakesh V CSIR- Fourth Paradigm Institute (CSIR-4PI), NAL Wind tunnel Road, Belur Campus, Bengaluru-56 00 37 |
Total Budget (INR): | 68,87,880 |
Organizations involved
Implementing Agency : | Indian Institute of Space Science and Technology. Thiruvananthapuram, Kerala
CSIR - Fourth Paradigm Institute, Bengaluru, Karnataka
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Funding Agency : | Ministry of Earth Sciences (MOES)
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