Dr. V RAKESH Email: rakesh.4pi@csir.res.in

Senior Principal Scientist rakeshv82@gmail.com

CSIR Fourth Paradigm Institute (CSIR -4PI) Phone: +91-80-25051358

(Erstwhile CSIR Centre for Mathematical Modelling Phone: +91-9611894141

and Computer Simulation (C-MMACS)) Fax : +91-80-25220392

NAL Belur Campus, Bangalore-560037, India Url: http://www.csir4pi.res.in/~rakesh

EDUCATION 2009

Doctor of Philosophy in Science (Physics)

Gujarat University, Gujarat/Space Applications Center, ISRO, Ahmedabad

2002 – 2004

M.Sc. in Meteorology with CGPA 7.3

Cochin University of Science and Technology, Kerala

1999 – 2002

B.Sc. in Physics with 82.6%

University of Kerala, Kerala

1997 – 1999

Pre-Degree in Science Group with 77.7%

University of Kerala, Kerala

1997, SSLC (10th), Board of public examinations, Govt of Kerala, India, with 90.2% marks

My research interests are primarily in atmospheric modelling and data assimilation. My Doctoral research titled “Impact of satellite data in regional model simulations over India” demonstrated the importance of assimilation of remote sensing data numerical models in improving weather prediction over the Indian region. My current research interests are short-range weather prediction, data assimilation, mesoscale forecast verification, impact assessment of weather forecast, Flood modeling, weather and climate informatics for health and agricultural applications, environmental hazard assessment for weather extremes, Machine/Deep Learning techniques, assessment of renewable energy potential using weather informatics etc. I have guided many MTech students and guiding PhD students (Two completed; 3 ongoing). I offer courses as part of PhD program of CSIR Academy of Scientific and Innovative Research program.

Peer reviewed SCI Journal Publications

Smrati Purwar, Ajay Bankar, V Rakesh, Suelynn Choy, Haobo Li, G N Mohapatra, Yuriy Kuleshov, (2025) Impact of Assimilating GNSS Ground-Based and Space-Based Observations on Extreme Rainfall Prediction over Karnataka, India, International Journal of Remote Sensing TRES, https://doi.org/10.1080/01431161.2025.2559423

Rakesh V and K V Ramesh (2025), Leaf Area Index estimation over the Kosi Watershed in Central Himalaya from Sentinel-2 using Machine/Deep Learning Models and validation against in-situ measurements, Neural Computing and Applications (Accepted; NCAA-D-23-01658R2)

Swetha, S., Ramesh, K. V., & Rakesh, V. (2025). Influence of large-scale climate modes (ENSO, IOD and PJ) on marine heatwave characteristics in the Indian ocean region. Theoretical and Applied Climatology, 156(6), 1-23.

Bankar, A., Rakesh, V., & Purwar, S., (2025) Evaluation of Extreme – Rainfall – Event Forecasts by WRF model Against a dense network of in-situ Observations over Karnataka, India., Weather and Forecasting, American Meteorological Society Journal (10.1175/WAF-D-23-0213.1)

Bankar, A., Rakesh, V., & Purwar, S., (2024) Relative impact of assimilation of multi-source observations using 3D-Var on simulation of extreme rainfall events over Karnataka, India, Atmospheric Research, 313 (2025): 107777, https://doi.org/10.1016/j.atmosres.2024.107777.

Kirankumar V., K.V. Ramesh and V. Rakesh (2023), Optimizing LSTM and Bi-LSTM models for multivariate time series prediction and performance comparison with classical statistical models, Applied Intelligence,

Ramesh K V and V Rakesh, Venkatesh Gowda P (2023) Improved learning by using a modified activation function of a Convolutional Neural Network in image. Machine Learning with Applications, 100502, https://doi.org/10.1016/j.mlwa.2023.100502.

Ipsita, P., Rakesh, V., , & Mohapatra, G. N. (2023). Role of Ocean-Atmosphere interactions on contrasting characteristics of two cyclones over the Arabian Sea, Meteorology and Atmospheric Physics, 135(5), 50.

Kakkanattu, S. P., Mehta, S. K., Subrahamanyam, D. B., Rakesh, V., & Kesarkar, A. P. (2023). Thermodynamic structure of the atmospheric boundary layer over a coastal station in India for contrasting sky conditions during different seasons. Atmospheric Research, 106915, https://doi.org/10.1016/j.atmosres.2023.106915.

Ipsita, P., Rakesh, V., Singh, R., & Mohapatra, G. N. (2023). Impact of different land use data on WRF model short range forecasts during pre-monsoon and monsoon seasons in India. Urban Climate, 49, 101558.

Purwar, S., Rakesh, V., Bankar, A., & Mohapatra, G. N. (2023). Relationship of height and intensity of Low-Level Jet stream with Indian summer monsoon rainfall. Theoretical and Applied Climatology, 151, 785–799, .

Singh, R., Rakesh, V. & Varma, A.K. (2023) Association of winter vegetation activity across the indo-gangetic plain with the subsequent Indian summer monsoon rainfall. Climate Dynamics, 60, 2245–2259 (2023), https://doi.org/10.1007/s00382-022-06426-7

Adithya Samanth, Rakesh V, Smrati Purwar, S M Gavaskar, B Jagadeesha Pai & G N Mohapatra (2022) Analysis of spatio-temporal variability in observed rainfall over Karnataka using different data analytical techniques, Journal of Earth System Science volume 131, Article number: 66

Prakasa Rao, E. V. S., Rakesh, V., and Ramesh, K. V. (2021). Big Data analytics and Artificial Intelligence methods for decision making in agriculture. Indian Journal of Agronomy 66 (5th IAC Special issue): S279-S287

Mohapatra, G., Rakesh, V., Purwar, S., & Dimri, A. P. (2021). Spatio-temporal rainfall variability over different meteorological subdivisions in India: analysis using different machine learning techniques. Theoretical and Applied Climatology, 145(1), 673-686.

Rakesh V., Ramesh K V., and Prakasa Rao E. V. S. (2021). An Assessment of Potential Economic Gain from Weather Forecast Based Irrigation Scheduling for Marginal Farmers in Karnataka, Southern State in India. Agricultural Sciences, 12(5), 503-512.

Rakesh, V., Mohapatra, G. N., & Bankar, A. (2021). Historical extreme rainfall over the Bangalore city, India, on 14 and 15 August 2017: skill of sub-kilometer forecasts from WRF model. Meteorology and Atmospheric Physics, 133, 1057–1074 (2021). https://doi.org/10.1007/s00703-021-00794-1

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.

Ramesh, K. V., Rakesh, V., & Prakasa Rao, E. V. S. (2020). Application of Big Data Analytics and Artificial Intelligence in Agronomic Research. Indian Journal of Agronomy, 65, 383-395.

Kantha Rao B, Rakesh V., 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, 142(3), 987-1001.

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, 177(10), 5007-5026

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.)

Kantha Rao B and Rakesh V., 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

Mohapatra G N, Rakesh V 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

Himesh S., 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.

Mohapatra G N, Rakesh V 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.

Kantha Rao B and Rakesh V, 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

Rakesh V 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)

Rakesh V 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

Goswami P and Rakesh V., 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)

Rakesh V, 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.

Rakesh V, 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.

Goswami P, Rakesh V, 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.

Rakesh V 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

Rakesh V 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

Bongirwar V, 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

Rakesh V, 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

Rakesh V, 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

Rakesh V, 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

Rakesh V, 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

Rakesh V, 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

Rakesh V, 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

Pal P. K., 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

Rakesh V, 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

Conference PROCEEDINGS

Ipsita P and Rakesh V “Identification of Extreme Rainfall Hotspots over Homogeneous Rainfall Regions in India”. TROPMET Conference, 2024, NIT Rourkela, Odisha.https://www.tropmet2024.in

Ipsita P and Rakesh V “Extreme rainfall hotspots in India based on spatio-temporal variability of rainfall using unsupervised clustering techniques”. European Geophysical Union, General Assembly 2025. https://meetingorganizer.copernicus.org/EGU25/session54883

Ipsita P, Rakesh, V., & Mohapatra, G. N. (2022, December). Investigation of the role of Ocean-Atmosphere Interactions on Unusual Characteristics of Severe Indian Ocean Cyclone Nisarga. In AGU Fall Meeting Abstracts (Vol. 2022, pp. A21E-09).

Bankar, A. and, Rakesh V., Simulation of Extreme Rainfall Events over Karnataka, Southern state in India: Impact of Lead Time and Data Assimilation, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-130, https://doi.org/10.5194/egusphere-egu22-130, 2022.

Purwar, S., Rakesh V, and Mohapatra, G., Interannual variability in Monsoon Low Level Jet and Indian summermonsoon rainfall (ISMR), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-171, https://doi.org/10.5194/egusphere-egu22-171, 2022.

Selja Saji , V. Rakesh and Abish .B, Effect of Covid-19 Lockdown Induced Changes in Aerosol Optical Depth and Greenhouse Gas Concentration for Major Cities and Industrial Hubs in India, Proceedings of International Symposium on Tropical Meteorology “Changing Climate: Consequences and Challenges (INTROMET-C4)”, INTROMET-2021, CUSAT Cochin, Kerala, November 23-26, 2021

Geo Tom, V. Rakesh and Abish .B, Effect of Covid 19 Lockdown Induced Changes in Atmospheric Meteorological Profiles for Major Cities and Industrial Hubs in India, Proceedings of International Symposium on Tropical Meteorology “Changing Climate: Consequences and Challenges (INTROMET-C4)”, INTROMET-2021, CUSAT Cochin, Kerala, November 23-26, 2021

Kiran Kumar V, K. V. Ramesh and V. Rakesh, Integrated data analytics platform for sustainable crop management: Developing intervention strategies for increasing quality production, Proceedings of 5th International Agronomy Congress, PJTSAU, Hyderabad, Telangana, India, November 23-27, 2021

Ajay Bankar and V Rakesh, Configuration and Validation of mesoscale model for urban extreme rainfall events for major metro cities in India, Proceeding 23rd EGU conference, 19-30 April, 2021, EGU21-15786, https://doi.org/10.5194/egusphere-egu21-15786

GN Mohapatra, Smrati Purwar and Rakesh V, Startegic framework for integrated flood Disaster modelling over Bangalore city of India, Proceeding 23rd EGU conference, 19-30 April, 2021, EGU21-15002,

Kiran Kumar V, K. V. Ramesh and V. Rakesh, Deep LSTM model for Indian Summer Monsoon Rainfall prediction using indices, Proceeding of TROPMET 2020, on Weather and Climate Services over Mountains Regions on Tropical Meteorology, NESAC, Shillong, 14 – 17 December 2020

Venkatesh Gowda P K, K. V. Ramesh and V. Rakesh, LULC classification using Convolutional Neural Network, Proceeding of TROPMET 2020, on Weather and Climate Services over Mountains Regions on Tropical Meteorology, NESAC, Shillong, 14 – 17 December 2020

GN Mohapatra, Smrati Purwar and Rakesh V, Simulation and validation of Extreme rainfall events with meso-scale model with different initial condition over Bangalore city, Proceeding of TROPMET 2019, Andhra University, Visakhapatnam 11 -14 December 2019

Ajay Bankar and V Rakesh, Configuration and Validation of mesoscale model for urban extreme rainfall events for major metro cities in India, Proceeding of TROPMET 2019, Andhra University, Visakhapatnam 11 -14 December 2019

V Rakesh and K V Ramesh, A quantitative assessment of the potential of weather and climate informatics in efficient agricultural management, Proceedings of XIV Agricultural Science Congress, New Delhi, February 20-23, 2019

K V Ramesh and V Rakesh, Integrated system dynamical model (SDM) for sustainable utilization of natural resources to enhance farm productivity in agro-ecosystems., Proceedings of XIV Agricultural Science Congress, New Delhi, February 20-23, 2019

G N Mohapatra, Rakesh V and Ajay Bankar, Configuration and Validation of mesoscale model forurban extreme rainfall events for major metro cities in India, Proceeding of TROPMET 2018, Understanding Weather and Climate, Variability Research for Society, 24-27 October, 2018, BHU, Varanasi

G N Mohapatra and Rakesh V, Configuration and Validation of WRF model coupled with urban canopy model for simulation of extreme rainfall events, Proceedings of INTROMET, November 7-10, 2017, SAC, ISRO, Ahmedabad.

Rakesh V, G N Mohapatra, Nibin Gopi, An assessment of economic benefit through Forecast-based Agro-Advisories over Karnataka, Proceedings of India International Science Festival (IISF): Theme: Innovative agriculture practices and livestock management, Dec 8-11, 2016, New Delhi.

Ajilesh P P, Rakesh V, Himesh S, Sahoo SK, Thermodynamic Processes in Heavy Rainfall Eventsover Urban City: Analysis using High Resolution Observation and Mesoscale Modelling, Proceedings of TROPMET 2016, National Symposium on Tropical Meteorology : Climate Change and Coastal Vulnerability, 18 – 21 December, 2016, Bhubaneswar.

S Praveen and V Rakesh, Simulation Of Tropical Cyclones Over The Indian Ocean:

Forecast Skill Of A Mesoscale Model For Cyclones Of Different Intensities, Proceedings of TROPMET 2016, National Symposium on Tropical Meteorology : Climate Change and Coastal Vulnerability, 18 – 21 December, 2016, Bhubaneswar.

G N Mohapatra and V Rakesh, Evaluation Of Mesoscale Model Lead Hour In Predicting Tropical Cyclone Over North Indian Ocean, Proceedings of TROPMET 2016, National Symposium on Tropical Meteorology : Climate Change and Coastal Vulnerability, 18 – 21 December, 2016, Bhubaneswar.

s praveen and V rakesh, “Forecasting of monsoon extreme rainfall events associated with tropical depressions over the Arabian sea and Bay of Bengal”, Proceedings of IMSP Annual Monsoon workshop and National Symposium on `Understanding and forecasting the monsoon extremes', IITM, February 23-24, 2016

Ajilesh PP, S Himesh, V Rakesh, and Sahoo SK, “Analysis of Urban Heavy Rainfall Events during Monsoon Period using High Resolution Observation and Mesoscale Modelling”, Proceedings of IMSP Annual Monsoon workshop and National Symposium on `Understanding and forecasting the monsoon extremes', IITM, FEBRUARY 23-24, 2016

S. K. Sahoo, S .Himesh, K .C. Gouda, Ajilesh P.P., P. Samantray, Rakesh V., et al., “North-East Monsoon extreme 2015: simulation of heavy rainfall event over Chennai during 27th November to 2nd December” Proceedings of IMSP Annual Monsoon workshop and National Symposium on `Understanding and forecasting the monsoon extremes', IITM, FEBRUARY 23-24, 2016

Ajilesh PP, S Himesh, V Rakesh, and P Goswami, Impact of urbanisation on rainfall pattern and surface temperature over selected Indian cities, National Space Science Symposium (NSSS2016), February 09-12 2016, VSSC, Trivandrum

s praveen and V rakesh, “Extreme rainfall events over urban cities: evaluation of forecast skill of a mesoscale model” Proceedings of the National Symposium on “Weather and Climate Extremes, February 15-18, 2015 (TROPMET-2015), Punjab University, Chandigarh.

Shruti Jha, V Rakesh, V B Gupta and M Anand, “Impact of Staellite Observed Sea Surface Temperature on Forecasting of Tropical Cyclone over the Indian Ocean”, International Conference on Information & Communication Engineering, ISBN: 978-81-31703-83-2, 28, June, 2013.

Anand M, V Rakesh and Sashi Kumar D R, “Impact of model resolution in simulating high impact weather systems”, International Conference on Information & Communication Engineering, ISBN: 978-81-31703-83-2, 28, June, 2013.

Anand M, V Rakesh and D R Sashi Kumar, “High resolution Numerical Simulations of High Impact Weather Systems”, Proceedings of the National conference “Decision Science and Big Data (NCDSBD-13)”, BTL Institute of Technology and Management, Bangalore, India, 30, April 2013.

V Rakesh, “Role of Background Error Statistics in Mesoscale Data Assimilation”, Proceedings of Brainstorming on ‘Study of Ocean-Land-Atmosphere Coupling and Extreme Events’ (SOLACE), 07-09 March 2013, Guwahati, Assam.

P Goswami, E V S P Rao, K C Gouda and V Rakesh, “Dynamic agriculture planning through long-range, crop-specific forecast – A futuristic strategy for sustainable agriculture in a changing climate” Lead papers, Vol 1, 3rd International Agronomy Congress, Nov. 26-30, 2012, New Delhi, India.

P Goswami and V Rakesh, “Impact of assimilation of meso-scale data on simulations of urban weather: case study over Delhi”, Proceedings of the joint SRNWP workshop on Data Assimilation and Ensemble Prediction Systems, Bologna, Italy, 23-25 February 2011.

V Rakesh and P Goswami, " A comparative assessment of background error statistics in assimilation: case studies of tropical cyclone tracks over the north Indian Ocean", Proceedings of the joint SRNWP workshop on Data Assimilation and Ensemble Prediction Systems" held on 23-25 February 2011 in Bologna, Italy

V Rakesh and P Goswami, Impact of assimilation of meso-scale tower data on simulations of weather over the Himalayan region, EMS Annual Meeting Abstracts, Vol. 7, EMS2010-388, 2010, 10th EMS / 8th ECAC

V. Rakesh, R. Singh, P.K. Pal and P. C. Joshi, “Impact of land surface data on simulated monsoon regional climate during contrasting episodes of the Indian summer monsoon”, Proceedings of the international conference on Impact of climate change on Agriculture, Space Application Centre, India, 17-18, December, 2009.

V. Rakesh, R. Singh, P.K. Pal and P. C. Joshi, Intercomparison of MM5/WRF with 3D-Var assimilation system for short-range forecast applications over Indian region during monsoon 2006” Proceedings of the international conference on Progress in weather and climate modelling over Indian region, NCMRWF, India, 9-12, December, 2008.

V Rakesh, R Singh, P.K. Pal, P C Joshi, S Agarwal and V K Dadhwal, “Impact of soil moisture initialization on simulated Indian summer monsoon by a regional model”, Proceedings of the national conference on “Impacts of climate change with special reference to agriculture”, Tamilnadu Agricultural University, Tamilnadu, 22-24, August, 2007.

P K Pal, R. Singh, Rakesh V and P C Joshi, “Climate Simulation over Indian Region using Satellite derived Surface data”, Proceeding of the international workshop on Monsoon Climate Variability and Change, and Their Impacts on Water, Food, and Health in Western India”, Nirma University, Gujarat, India, 5-7 February,2007.

V. Rakesh ,R. Singh, P.K. Pal and P.C. Joshi, " Quantitative evaluation of PSU-NCAR MM5 forecasts over Indian region for monsoon 1998", Proceedings of SPIE, 6404N, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions, Editors, Tiruvalam N. Krishnamurti, B. N. Goswami, Toshiki Iwasaki, doi:10.1117/12.693963, 2006

P K Pal, R. Singh, Rakesh V and P C Joshi, "Regional Climate Simulations studies over India", Proceedings of INDO- UK workshop on earth observations for weather and climate, Space application centre (ISRO), Ahmedabad, India, March 28-30, 2006.

V. Rakesh, R. K. Jana ,R. Singh, P. K. Pal and P. C. Joshi, " Sensitivity of mesoscale model forecast to convective parameterization schemes in MM5", Proceedings of the international conference on mesoscale processes in Atmosphere, Ocean, and Environment, IIT Delhi, India, February 14-17, 2006.

Scientific Reports

Himesh S, Ajilesh P, Sanjeeb K Sahoo, Rakesh V et al., 2016, Analysis of Rainfall and Surface Temperature Patterns over Select Indian Cities, Research Report, CM 1602, 12pp.

Kantha Rao B, S Himesh, V Rakesh et. al. 2016, Mult-level Soil Moisture charecteristics over Indian region using observation data, Research Report, CM 1601, 22pp.

V Rakesh, P Goswami and G S Srinivasa Reddy, 2015, Operational High resolution Rainfall Forecasts over Karnataka: Evaluation Report (September 2010-March 2015), Research Report, CM 1503, 25 pp.

Himesh S, Rakesh V, Ramesh K V, Mohapathra G N, Kantha RaoBhimala, Gouda KC, Goswami P, 2014, “Simulation and Validation of Heavy Rainfall Event: A Case Study over Delhi”, Research Report, CM 1403, 25 pp.

P Goswami, Rakesh V, Patra G. K., and Prakash V S, 2011 “Operational Real time quantitative Rainfall Forecasts at Hobli- Level over Karnataka State: Evaluation for the Winter Monsoon 2010”, Research Report, CM 1102, 25 pp.

Randhir Singh, R.K. Jana, Rakesh. V ,P. K. Pal and P C Joshi, 2005, “Statistical evaluation mesoscale model forecast during PSLV-C6 launch”, SAC/RESIPA/MOG/ASD/Meso-SR/04/2005

BOOK CHAPTERS

Atmospheric and Oceanic Mesoscale Processes, 2007, 10.1007/978-3-7643-8493-7, 978-3-7643-8492-0, Pageoph Topical Volumes, Birkhäuser Basel, Springer Publications.

Goswami P, A Troccoli A, Neppolian B, Gunasekera D, Gouda KC, Ramesh KV, Rakesh V and Sasidharan M (2016) “Climate Resilient Economy: Low Carbon Roadmaps and Strategies to Achieve 100% Renewables: A case for India” in: “Climate Resilient Pathways – Achieving Low Carbon, Resilient and Prosperous Economies”, Baldwin K, Raupach M, Lindsay J, Hussey K and Smith M, eds, Cambridge University Press, Under review.

AWARDS/HONOURS

Recipient of CSIR Young Scientist Award 2016 in the discipline Earth, Atmosphere, Ocean and Planetary Science

Human Resource Management

Guided students for the M.Tech projects as part of CSSTEAP course 2006-2007, 2008-2009 conducted by SAC (ISRO), Ahmedabad.

Guided many students for fulfillment of M.Tech project at CSIR 4PI.

Offered courses as part of PhD programme of Academy of Scientific and Innovative Research (AcSIR) at CSIR 4PI

PhD Supervision: Two Completed (AcSIR); One Submitted (AcSIR); Two Ongoing (AcSIR)

Sponsored Projects ongoing/completed AS pi/co-pi

Membership of Professional Bodies

Life Member of Indian Meteorological Society, LM-1387

Member, Indian Society of Agronomy