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  • 10:16 PM, Monday, 20 Sep 2021

Department of Earth and Space Sciences
     
Govindan Kutty M., Ph.D.
Associate Professor
 
Office
Tel:+91-471-2568517
Fax:+91-471-2568462
Email:govind@iist.ac.in / govindatmos@gmail.com













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)

Course Offered
  • Atmospheric Thermodynamics
  • Planetary Atmospheres

Research Work / Area
  • Data Assimilation and Predictability
  • Ensemble methods
  • Tropical Cyclone modelling
  • Planetary Atmospheres

Area of Interest

Improving the understanding of the predictability of extreme weather events  through data assimilation and ensemble approaches

 

Recent Publications
  • Rakesh S and Kutty G., (2021) Intercomparison of the Performance of Four Data Assimilation Schemes in a Limited-Area Model on Forecasts of an Extreme Rainfall Event over the Uttarakhand in the Himalayas, Earth and Space Science, AGU  https://doi.org/10.1029/2020EA001461
  • Munsi, A., Kesarkar, A., Bhate, J., Panchal, A., Singh, K., Kutty, G., & Giri, R. (2021). Rapidly intensified, long duration North Indian Ocean tropical cyclones: Mesoscale downscaling and validation. Atmospheric Research, 259, 105678.
  • Gogoi, R. B., Kutty, G., & Boroghain, A. (2021). Intercomparison of the impact of INSAT-3D atmospheric motion vectors in 3DVAR and hybrid ensemble-3DVAR data assimilation systems during Indian summer monsoon. Theoretical and Applied Climatology, 1-12.
  • Gogoi, R. B., Kutty, G., & Borgohain, A. (2021). Impact of INSAT-3D satellite-derived wind in 3DVAR and hybrid ensemble-3DVAR data assimilation systems in the simulation of tropical cyclones over the Bay of Bengal. Modeling Earth Systems and Environment, 1-11.
  • Pushpalatha, R., Shiny, R., Kutty, G. et al. (2021) Testing of Cassava (Manihot esculenta) Varieties for Climate Resilience Under Kerala (India) Conditions.  Agricultural Research https://doi.org/10.1007/s40003-021-00547-x
  • Bhate, J., Munsi, A., Kesarkar, A., Kutty, G., & Deb, S. K. (2021) Impact of assimilation of satellite retrieved ocean surface winds on the tropical cyclone simulations over the north Indian Ocean. Earth and Space Science, e2020EA001517.https://doi.org/10.1029/2020EA001517
  • George, B., & Kutty, G. (2021). Ensemble Sensitivity Analysis of an Extreme Rainfall Event over the Himalayas in June 2013. Dynamics of Atmospheres and Oceans, 101202.
  • Kutty, G., Gogoi, R., Rakesh, V., & Pateria, M. (2020). Comparison of the performance of HYBRID ETKF-3DVAR and 3DVAR data assimilation scheme on the forecast of tropical cyclones formed over the Bay of Bengal. Journal of Earth System Science, 129(1), 1-14.
  • Gogoi, R. B., Kutty, G., Rakesh, V., & Borogain, A. (2020). Comparison of the Performance of Hybrid ETKF-3DVAR and 3DVAR Data Assimilation Systems on Short-Range Forecasts during Indian Summer Monsoon Season in a Limited-Area Model. Pure and Applied Geophysics, 1-20.
  • KU, J., Kutty, G., & George, B. On the Predictability and Dynamics of Tropical Cyclone: Nargis (2020). Journal of Geophysical Research: Atmospheres, e2019JD032040.
  • Mounika, K., Kutty, G., & Gorthi, S. S. R. (2018). Consistent Robust and Recursive Estimation of Atmospheric Motion Vectors From Satellite Images. IEEE Transactions on Geoscience and Remote Sensing, 57(3), 1538-1544.
  • Kutty, G., Muraleedharan, R., & Kesarkar, A. P. (2018). Impact of Representing Model Error in a Hybrid Ensemble-Variational Data Assimilation System for Track Forecast of Tropical Cyclones over the Bay of Bengal. Pure and Applied Geophysics, 175(3), 1155-1167.
  • Kutty, G., Sandeep, S., & Nhaloor, S. (2018). Sensitivity of convective precipitation to soil moisture and vegetation during break spell of Indian summer monsoon. Theoretical and Applied Climatology, 133(3-4), 957-972
  • Kutty, G., & Gohil, K. (2017). The role of mid-level vortex in the intensification and weakening of tropical cyclones. Journal of Earth System Science, 126(7), 94.
  • Kutty, G., & Wang, X. (2015). A comparison of the impacts of radiosonde and AMSU radiance observations in GSI based 3DEnsVar and 3DVar data assimilation systems for NCEP GFS. Advances in Meteorology, 2015.
  • Kutty G & Chandrasekar, A. (2011). Impact of assimilation of ATOVS temperature and humidity and SSM/I total precipitable water on the simulation of a monsoon depression. Natural hazards, 59(3), 1647-1669
  • Kutty. G, Chandrasekar, A., & Pradhan, D. (2010). Impact of 3DVAR assimilation of Doppler Weather Radar wind data and IMD observation for the prediction of a tropical cyclone. International Journal of Remote Sensing, 31(24), 6327-6345.
  • Kutty. G., & Chandrasekar, A. (2010). Effect of 3DVAR assimilation of MODIS temperature and humidity profiles on the dynamic and thermodynamic features of three monsoon depressions over the Bay of Bengal. Meteorology and Atmospheric Physics, 107(1-2), 65-79.
Book Chapter:
  • Chandrasekar, A. and Kutty G, 2013. Studies on the impacts of 3DVAR assimilation of satellite observations on the simulation of monsoon depressions over India, Springer;ISBN 978-3-642-35087-0 ( pp 643-705)


1) Use of Hybrid Ensemble Data Assimilation system in NARL operational forecasts 

Funding Agency - IIST

Project cost - 8.0 L

Status - Completed 

2) Implementing  4DVAR Data Assimilation   in SASE forecasts 

 Funding Agency - DRDO

Project cost - 10.0 L 

Status - Completed 

3) Improving the Prediction of Thunderstorms using Dual – Resolution Hybrid Ensemble – Variational Data Assimilation System in WRF model

Funding Agency - MoES

Project cost - 75.0 L 

Status - 2021 to 2024