Scientist Profile

Dr. Sahadat Sarkar

Designation
: Scientist D

Phone
: +91-(0)20-25904495

Fax
: +91-(0)20-25865142

Email ID
: sahadat[dot]cat[at]tropmet[dot]res[dot]in

Numerical Modelling, Atmospheric Scale Interaction, Monsoon Variability
Degree University Year Stream
Ph.D. Savitribai Phule Pune University 2023 Atmospheric And Space Sciences
M.Sc. Jadavpur University, Kolkata 2011 Physics
B.Sc.(Hons) The University of Burdwan, West Bengal 2009 Physics

 Monsoon variability and predictability.

 Atmospheric dynamics and Internal scale interactions processes.

 Organization and intensification of convection during Initial phases of Intraseasonal Oscillation.

 Energetics analysis of Indian Summer Monsoon.

 Numerical Modelling.

Award Name Awarded By Awarded For Year
Certificate of Merit-2024 IITM, Pune Outstanding contribution to Weather and Climate Science 2024
Travel Grant World Climate Research Programme (WCRP) Attending 2nd WCRP Summer School on Climate Model Development 2018
Travel Grant World Climate Research Programme (WCRP) Attending CLIVAR Open Science Conference (OSC) and Early Career Scientists Symposium 2016
Certificate of Merit Jadavpur University Top 10 performer in the University 2011
Merit Scholarship Goverment of West Bengal Scholarship 2010-2011
Certificate of Merit University of Burdwan, WB Top 10 performer in the University 2009
Year Designation Institute
2022-Present Scientist D Indian Institute of Tropical Meteorology, Pune
2018-2021 Scientist C Indian Institute of Tropical Meteorology, Pune
2014-2017 Scientist B Indian Institute of Tropical Meteorology, Pune
2012-2013 Trainee Scientist Centre for Advanced Training, IITM, Pune
2011-2012 Researcher (Physics) Raja Ramanna Centre for Advanced Technology (RRCAT), Indore

Research Highlight


Operational high‑resolution Global Forecast System (GFS) T1534 model fidelity in capturing the monsoon onset over Kerala

The Indian Summer Monsoon (ISM) onset over Kerala (MOK) marks the beginning of monsoon rainfall. Accurate prediction of MOK is essential, as it is linked to large-scale circulation and rainfall variability. While several observational studies have established criteria for identifying MOK such as increased rainfall, strengthened low-level westerlies, and enhanced moisture transport, the ability of dynamical models to capture these features in short to medium range prediction remains less explored. This study evaluates the high-resolution GFS-T1534 model’s fidelity in simulating MOK. Results show the model captures key features, including strengthening of low level jet, rainfall increase, Tropospheric temperature change, and strengthened 600 hPa westerlies, with reasonable accuracy.

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