भारतीय उष्णदेशीय मौसम विज्ञान संस्थान
Indian Institute of Tropical Meteorology
पृथ्वी विज्ञान मंत्रालय, भारत सरकार का एक स्वायत्त संस्थान
An Autonomous Institute of the Ministry of Earth Sciences, Govt. of India
Scientist Profile
Dr. 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
| Degree | University | Year | Stream |
|---|---|---|---|
| PhD | Banaras Hindu University, Varanasi | 2024 | Physics |
| 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.