Scientist Profile

Shri. Vivek Singh

Designation
: Scientist D

Phone
: +91-(0)11-28743976

Fax
: +91-(0)11-28743976

Email ID
: vivek[dot]singh[at]tropmet[dot]res[dot]in

Tropical cyclone modelling, Aerosol characteristics over Indo-Gangetic Basin.
Degree University Year Stream
M.Sc. Banaras Hindu University, Varanasi 2011 Physics
B.Sc. Ewing Christian College, Allahabad University, Allahabad 2009 Physics, Mathematics

  Utilizing the WRF model for tropical cyclone prediction in the Indian region, with a focus on customized schemes for improved accuracy and reliability.

  Exploring tailored parameterizations in the WRF model to better represent unique features of Indian Ocean tropical cyclones.

  Investigating the influence of different aerosol species on tropical cyclone dynamics and microphysics.

  Investigating the impact of customization schemes (e.g., convective parameterization, microphysics, boundary layer schemes, data assimilation) on enhancing tropical cyclone prediction skill and intensity forecasts in the Indian region.

  Utilizing the WRF-Chem model to study the impact of aerosols on tropical cyclones in the Indian region.

  Evaluating the sensitivity of tropical cyclone prediction to aerosol emissions and transport using the WRF-Chem model.

Award Name Awarded By Awarded For Year
Indian Space Research Organisation(ISRO) Space Science Promotion Scheme(SSPS) Fellowship ISRO, Bengaluru Pursuing M.Sc. Physics in Space Physics 2009-2011
Year Designation Institute
2021-Present Scientist D Indian Institute of Tropical Meteorology, Pune
2017-2020 Scientist C Indian Institute of Tropical Meteorology, Pune
2013-2016 Scientist B Indian Institute of Tropical Meteorology, Pune.
2011-2012 Trainee Scientist Centre for Advanced Training(CAT), Indian Institute of Tropical Meteorology, Pune.

Research Highlight


The study investigated the formation, intensification, behaviour, and prediction of Extremely Severe Cyclonic Storm 'Fani (2019)' in the Bay of Bengal using the NCMRWF global numerical weather prediction model (NCUM). 'Fani' was a highly intense storm that made landfall in Orissa, India in May 2019. The global model (resolution ~12 km) successfully captured the storm's genesis, intensification, and movement. The predicted tracks closely matched the observed best-track data provided by the India Meteorological Department. The study attributed the storm's formation and intensification to the warm sea surface temperatures in the Bay of Bengal.

Author Link