Scientist Profile

Dr. Rashmi Arun Kakatkar

Designation
: Scientist D

Phone
: +91-(0)20-25904239

Fax
: +91-(0)20-25865142

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

Climate variability, ENSO variability
Degree University Year Stream
Ph.D. Savitribai Phule Pune University (SPPU) 2019 Atmospheric and Space Sciences
B.Ed. University of Pune 2010 Mathematics, I.T.
M.Sc. University of Pune 2009 Mathematics
B.Sc. University of Pune 2007 Mathematics Subsidiary subjects : Statistics, Physics

  Indian Ocean temperature variability

  ENSO variability

  Ocean - atmosphere interaction

  Indian summer monsoon variabiltiy

Award Name Awarded By Awarded For Year
Certificate of Merit IITM Outstanding Contribution to Weather and Climate Science 2023
Best paper presentation award Indian Meteorological Society, Pune Chapter Best paper presentation for the paper entitled “The strong subsurface and surface temperature modes and their interactions during 2019-2020 over the Tropical Indian Ocean”, in the Annual Monsoon E-Workshop 2019-2020 and National E-Symposium 2021
32nd Silver Jubilee Award for the year 2019 Indian Institute of Tropical Meteorology Best Research paper 2020
Best paper presentation award Indian Meteorological Society, Pune Chapter Best paper presentation for the paper entitled “Subsurface temperature variability in the Tropical Indian Ocean in coupled models”, in the National Symposium. 2019
Year Designation Institute
2022-Present Scientist D Indian Institute of Tropical Meteorology, Pune
2017-2021 Scientist C Indian Institute of Tropical Meteorology, Pune
2013-2017 Scientist B Indian Institute of Tropical Meteorology, Pune
2011-2013 Trainee Scientist (CAT) Indian Institute of Tropical Meteorology, Pune

Research Highlight


Subsurface Temperature Variability in the Tropical Indian Ocean

The subsurface temperature variability in the Tropical Indian Ocean (TIO) is examined. Asymmetry in the evolution of positive and negative phases of subsurface mode (SSM) is reported. The asymmetry in the subsurface-surface interaction during the two phases of subsurface mode and its impact on the modulation of surface features of TIO are analysed. The representation of SSM in CFSv2 is also studied. Even though the nature of the north–south dipole in TIO subsurface temperature is successfully captured by CFSv2, a rapid decay of the mode is seen in the model. It is also found that the misrepresentation of subsurface variability in CFSv2 during December–February is closely associated with the rapid decay of El Niño forced TIO warming.