Dr. Govindan Kutty M
Area of Research
Education
- Postdoctoral Research Associate, University of Oklahoma, USA (2011 – 2014)
- Ph.D. in Atmospheric Science, IIT Kharagpur (2006- 2010)
- M.Sc. in Meteorology, Cochin University of Science and Technology (2003-2005)
Area of Interest
Improving the understanding of the predictability of extreme weather events through data assimilation and ensemble approaches
Year |
Title of Project |
Funding Agency |
Project cost |
2023 – 2025
|
Implementation of Ensemble Forecast
Sensitivity Approach to Estimate the Impact of
Observations in IMD GFS forecast
|
Monsoon Mission
(Ministry of Earth
Science) |
58.0 Lakhs |
2022 – 2024 | Improving the Prediction of Thunderstorms
using Dual – Resolution Hybrid Ensemble –
Variational Data Assimilation System in WRF
model
|
Ministry of Earth
Science (MoES) |
75.0 Lakhs |
2018 – 2019
|
Implementing 4DVAR Data Assimilation in
SASE forecasts |
SASE, DRDO |
10.0 Lakhs |
2014 – 2017
|
Use of Hybrid Ensemble Data Assimilation
system in NARL operational forecasts
|
ASRG |
8.0 Lakhs |
A probabilistic method has been developed to identify regions of Initial Condition uncertainty in the NWP model
Forecast errors can be reduced if observations are assimilated in regions with the largest percentage of analysis error growth. In our recent study, the regions where additional observations will impact the forecasts over the Indian subcontinent during the summer monsoon season have been identified using the ensemble approach.
You may read the details here: https://assets.researchsquare.com/files/rs-2893417/v1/74e2a094-565d-41f1-b004-08d742468068.pdf?c=1683814947
