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CSIR Fourth Paradigm Institute

(Formerly CSIR Centre for Mathematical Modelling and Computer Simulation)

A constituent laboratory of Council of Scientific & Industrial Research (CSIR).

Ministry of Science and Technology, Government of India.

Position:
Senior Principal Scientist
Email:
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Phone:
(+91)80-2505-1332
Fax:
(+91)80-25220392
Miscellaneous Information:

V Rakesh

 

Research Interests

  • Atmospheric Modeling

  • Data Assimilation

  • Agro-Meteorology

Educational Qualifications

Degree

Year

University/Institution

Subjects

BSc

2002

Kerala University

Physics

MSc

2004

Cochin University of Science and Technology

Meteorology

PhD

2009

Gujarat University (Space Applications Center, ISRO)

Science

Academic/Research Experience/Employment

FROM

TO

Institute

Position Held

2004

2009

Space Applications Center, ISRO

Junior/Senior Research Fellow

2009

2012

CSIR 4PI

(Erstwhile CSIR C-MMACS)

Scientist

2012

2016

CSIR 4PI

(Erstwhile CSIR C-MMACS)

Senior Scientist

2016

Till Date

CSIR 4PI

 

Principal Scientist

 

Recent Publications in SCI Journals

1. Kutty, G., Gogoi, R., Rakesh, V., and 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.

2. Kantha Rao B, V. Rakesh, Prasad K R, and G N Mohapatra (2020) Identification of vegetation responses to soil moisture, rainfall, and LULC over different meteorological subdivisions in India using Remote Sensing data, Theoretical and Applied Climatology (https://doi.org/10.1007/s00704-020-03360-8)

3. Gogoi, R. B., Kutty, G., Rakesh, V., and 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., doi.org/10.1007/s00024-020-02537-6

4. Ajilesh P, Rakesh V, S K Sahoo, and Himesh S, 2020, Observed and model simulated thermodynamic processes associated with urban heavy rainfall events over the Bangalore city, India, Meteorological Applications (Journal of Royal Meteorological Society, UK), (Meteorological Applications, 27(1), e1854.)

5. Kantha Rao B and V. Rakesh, 2019, Evaluation of WRF-simulated multilevel soil moisture, 2-m air temperature, and 2-m relative humidity against in situ observations in India, Pure and Applied Geophysics., Pure Appl. Geophys. 176, 1807–1826 (2019). https://doi.org/10.1007/s00024-018-2022-7

6. G N Mohapatra, V Rakesh and P K Mohanty, S Himesh, 2018, Comparative Evaluation of the skill of a Global Circulation Model and a Limited Area Model in simulating Tropical Cyclones in the North Indian Ocean, Meteorological Applications (Journal of Royal Meteorological Society, UK), 2018;25:523–533. https://doi.org/10.1002/met.1718

7. S. Himesh, E.V.S. Prakasa Rao, K.C. Gouda, K.V. Ramesh, V. Rakesh, G.N. Mohapatra, B. Kantha Rao, S.K. Sahoo and P. Ajilesh, 2018, Digital revolution and Big Data: a new revolution in agriculture, CAB Reviews, 13 , No. 021, doi: 10.1079/PAVSNNR201813021.

8. G N Mohapatra, V Rakesh and K V Ramesh, 2017, Urban extreme rainfall events: Categorical skill of mesoscale model simulation for localized and non-localized events, Quarterly journal of Royal Meteorological Society, 143: 2340–2351.

9. Kantha Rao B and V. Rakesh, 2017, Observational evidence for the relationship between spring soil moisture and June rainfall over the Indian region, Theoretical and Applied Climatology, Volume 132, Issue 3–4, pp 835–849, DOI:10.1007/s00704-017-2116-7

10. V. Rakesh and KanthaRao B, 2017, Impact of assimilation on Heavy rainfall simulations using WRF Model: Sensitivity of assimilation results to background error statistics, Pure and Applied Geophysics, 174, Issue 3, 1385–1398 (DOI: 10.1007/s00024-017-1471-8)

11. V. Rakesh and P Goswami, 2016, An evaluation strategy of skill of high-resolution rainfall forecast for specific agricultural applications. Meteorological Applications (Journal of Royal Meteorological Society, UK), Vol 23, Issue 2: 529–540. doi: 10.1002/met.1576

12. P Goswami and V. Rakesh, 2016, An assessment of Optimality of Observations for High-resolution Weather Forecasting, Pure and Applied Geophysics (Volume 173, Issue 4, pp 1359–1377; doi:10.1007/s00024-015-1155-1)

13. V. Rakesh and Goswami, P, 2015, Impact of data assimilation on high-resolution rainfall forecasts: A spatial, seasonal and category analysis. Journal of Geophysical Research. Atmos., 120, 359–377, doi:10.1002/2014JD022383.

14. V. Rakesh, Goswami, P, and V. S. Prakash, 2015, Evaluation of High Resolution Rainfall Forecasts over Karnataka for southwest and northeast Monsoon Seasons 2011, Meteorological Applications (Journal of Royal Meteorological Society, UK), Vol. 22, 37–47.

15. P. Goswami, V. Rakesh, G. K. Patra and V. S. Prakash, 2012, “Real-time quantitative rainfall forecasts at hobli-level over Karnataka: evaluation for the winter monsoon 2010, Current Science, vol. 102, no. 10, 1426-1433.

16. V Rakesh and P Goswami, 2011, “Impact of background error statistics on forecasting of tropical cyclones over the north Indian Ocean”, Journal of Geophysical Research, vol. 116, d20130, 1-21, doi:10.1029/2011jd015751

17. V Rakesh and P Goswami, 2011, "Impact of background error statistics on 3D-Var assimilation: case study over the Indian region ", Meteorology and Atmospheric Physics, 112, 63-79

18. V. Bongirwar, V. Rakesh, C. M. Kishtawal, and P. C. Joshi, 2011, “Impact of Satellite Observed Microwave SST on the Simulation of Tropical Cyclones”, Natural Hazards, 58, 929–944, doi: 10.1007/s11069-010-9699-y

19. V. Rakesh , R. Singh and P. C. Joshi, 2011, “Impact of satellite soundings on the simulation of heavy rainfall associated with Tropical depressions”, Natural Hazards, 58, 945–980, doi: 10.1007/s11069-010-9700-9

20. V. Rakesh , R. Singh, and P. C. Joshi, 2011, “Evaluation of mesoscale model forecasts over the Indian region during Monsoon 2006”, Pure and Applied Geophysics, 168, 919-943, doi: 10.1007/s00024-010-0153-6

21. V. Rakesh , R. Singh, P. K. Pal and P. C. Joshi, 2010, “Impact of four dimensional assimilation of satellite data on long-range simulations over the Indian region during monsoon 2006", Advances in Space research, 46, , 895–908

22. V. Rakesh , R. Singh and P. C. Joshi, 2009, “Intercomparison of the performance of MM5/WRF with and without satellite data assimilation in short range forecast applications over the Indian region ", Meteorology and Atmospheric Physics, 105, 133–155

23. V. Rakesh , R. Singh, P. K. Pal and P. C. Joshi , 2009, “Impact of satellite observed surface wind and total precipitable water on WRF short-range forecasts over Indian region during monsoon 2006”, Weather and Forecasting, 24,1706-1731

24. V. Rakesh, R. Singh, D. Yuliya, P. K. Pal and P. C. Joshi, 2009, “Impact of variational assimilation of MODIS thermodynamic profiles in the simulation of western disturbance”, International journal of remote sensing, 30, No. 18, , 4867–4887

25. P. K. Pal, Rakesh V , R. Singh, and P.C. Joshi , 2007, “Impact of satellite derived land surface parameters in regional climate simulations over India”, Hydrology review (Jalvigyan Sameeksha), 22, 133-156

26. V Rakesh, R. Singh, P.K. Pal and P.C. Joshi, 2007, “Sensitivity of mesoscale model forecast during a satellite launch to different cumulus parameterization schemes in MM5”, Pure and Applied Geophysics (PAGEOPH), 164, 8-9, 1617-1637

 

The above information is provided by the concerned staff/employee on December 23, 2020.