Hello!

I'm Maheswar Pradhan



Scientist-D, IITM, Pune

Google Scholar IITM Profile

Name: Maheswar Pradhan

Job Role: Scientist-D

Experience: 10 Years 7 Months

Address: IITM, Pune, India

Skills

Fortran 85%
NCL 95%
PYTHON 80%
MATLAB 90%
Machine Learning 50%

About Me

I am currently working in a Monsoon Mission group to enhance India’s modelling capability in simulating Indian Summer Monsoon and the processing contributing towards its predictability. Ocean observing system experiments with coupled models, seasonal prediction of onset variability, model intercomparison studies involving NMME, SINTEX-F2, ECMWF models, the sensitivity of seasonal forecasts towards initial conditions, etc. are some of my works towards addressing coupled models’ biases and way forward to improve them. I am also a part of the core team which developed the MMCFSv2 (a next generation global coupled model) for India. I have also worked towards automated forecasting algorithms. Using these algorithms, the model and forecasting procedures are now operationally used for seasonal forecasting of the Indian Summer Monsoon at the India Meteorological Department (IMD). In association with IMD, I have been working towards generating and disseminating ENSO-IOD bulletins, long-range forecasts of rainfall and air temperature, etc..

  • Profile: Climate Modeling & Data Analytics
  • Model Code Handled: CFSv2, GFS, MOM & MMCFSv2
  • Model Data Analysed: ENSMBLES, SINTEX-F2, NMME, & UKMO
  • Language: English, Hindi, & Odia
  • Publication Break up: Model Development (3), Model Analysis (10) & Observational(8), AI-ML (0)
  • Interest: Traveling, Cricket, Badminton

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Resume

Resume

I was an Instrumentaion Engineer and the joined the field of Climate Science more than a decade ago. I obtained my Doctoral Degree in Climate Studies from the Indian Institute of Technology, Bombay. My research interest and working areas are listed below. Feel free to start an conversation or collaboration just by dropping an email.

Experience


Areas of Interest

I am working in the following areas of climate science/modeling.

  • TURBULENT FLUX PARAMETERIZATION IN OCEAN and COUPLED MODELS
  • DIURNAL CYCLE IN THE OCEAN AND ITS IMPACT ON THE ATMOSPHERE
  • OBSERVING SYSTEM EXPERIMENTS USING COUPLED/OCEAN MODELS
  • OPERATIONAL SEASONAL PREDICTION
  • MONSOON VARIABILITY & ITS DRIVERS
  • COUPLED DATA ASSIMILATION

Research Guidance
  • Guided Miss Sakshi Shimbre, SPPU, during her internship at IITM

Scientific Career
  • 2021-Present: Scientist-D at IITM, Pune
  • 2017-2020: Scientist-C at IITM, Pune
  • 2014-2016: Scientist-B at IITM, Pune
  • 2012-2013: Trainee Scientist at Ceneter for Advanced Training (CAT), IITM, Pune
Positions/Membership Held
  • Member of the Monsoons Panel’s Working Group on Asian Australian Monsoons (WG-AAM) established by the World Climate Research Programme and Global Energy and Water Exchanges (GEWEX)
  • Life Member of Indian Meteorological Society (IMS)
  • Life Member of Ocean Society of India (OSI)
  • Review Editor at Frontier in Climate
  • Panelist of "Tropical Pacific Observing Needs to Advance Process Understanding and Representation in Models" workshop at USCLIVAR
  • Chaired Session at Asia Oceania Geosciences Society (AOGS)-2021 themed as “OS09 - Seasonal-to-interannual Climate Variability and Predictability”


Education


2007-2011

Bachelor of Technology

College of Engineering and Technology (CET), Bhubaneswar

GPA: 8.56

2018-2024

Doctor of Philosophy

Indian Institute of Technology Bombay (IITB), Powai

GPA: 9.57

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Publications

Publications


    Peer Reviewed Journals

  1. Pai, D.S., Rao, A.S., Senroy, S., Pradhan, M., Pillai, P.A. and Rajeevan, M., 2017. Performance of the operational and experimental long-range forecasts for the 2015 southwest monsoon rainfall.
  2. Ramu, D.A., Rao, S.A., Pillai, P.A., Pradhan, M., George, G., Rao, D.N., Mahapatra, S., Pai, D.S. and Rajeevan, M., 2017. Prediction of seasonal summer monsoon rainfall over homogenous regions of India using dynamical prediction system.
  3. Pradhan, M., Yadav, R.K., Ramu Dandi, A., Srivastava, A., Phani, M.K. and Rao, S.A., 2017. Shift in MONSOON–SST teleconnections in the tropical Indian Ocean and ENSEMBLES climate models' fidelity in its simulation.
  4. Srivastava, A., Rao, S.A., Rao, D.N., George, G. and Pradhan, M., 2017. Structure, characteristics, and simulation of monsoon low‐pressure systems in CFS v2 coupled model.
  5. Pradhan, M., Rao, A.S., Srivastava, A., Dakate, A., Salunke, K. and Shameera, K.S., 2017. Prediction of Indian summer-monsoon onset variability: A season in advance.
  6. Srivastava, A., Pradhan, M., Goswami, B.N. and Rao, S.A., 2017. Regime shift of Indian summer monsoon rainfall to a persistent arid state: external forcing versus internal variability. Meteorology and Atmospheric Physics
  7. Pillai, P.A., Rao, S.A., Ramu, D.A., Pradhan, M. and George, G., 2018. Seasonal prediction skill of Indian summer monsoon rainfall in NMME models and monsoon mission CFSv2.
  8. Rao, S.A., Pillai, P.A., Pradhan, M. and Srivastava, A., 2019. Seasonal prediction of Indian summer monsoon in India: The past, the present and the future.
  9. Krishna, R.P.M., Rao, S.A., Srivastava, A., Kottu, H.P., Pradhan, M., Pillai, P., Dandi, R.A. and Sabeerali, C.T., 2019. Impact of convective parameterization on the seasonal prediction skill of Indian summer monsoon.
  10. Rao, S.A., Goswami, B.N., Sahai, A.K., Rajagopal, E.N., Mukhopadhyay, P., Rajeevan, M., Nayak, S., Rathore, L.S., Shenoi, S.S.C., Ramesh, K.J. and Nanjundiah, R., 2019. Monsoon Mission: A targeted activity to improve monsoon prediction across scales.
  11. Srivastava, A., Rao, S.A., Pradhan, M., Pillai, P.A. and Prasad, V.S., 2020. Gain of one-month lead time in seasonal prediction of Indian summer monsoon prediction: comparison of initialization strategies.
  12. Pradhan M., Rao Suryachandra A., Srivastava Ankur, 2021. Factors responsible for consecutive deficit Indian monsoons during 2014 and 2015, Theoretical and Applied Climatology
  13. Pillai P.A., Rao Suryachandra A., Srivastava Ankur, Dandi R.A., Pradhan M., Das Renu S., 2021. Impact of the tropical Pacific SST biases on the simulation and prediction of Indian summer monsoon rainfall in CFSv2, ECMWF-System4, and NMME models.
  14. Amat H.B., Pradhan M., Tejavath C.T., Dey Avijit, Rao Suryachandra A., Sahai A.K., Ashok K, 2021. Value addition to forecasting: towards Kharif rice crop predictability through local climate variations associated with Indo-Pacific climate drivers.
  15. Pradhan, M., Rao, S. A., Doi, T., Pillai, P. A., Srivastava, A., & Behera, S., 2021. Comparison of MMCFS and SINTEX-F2 for seasonal prediction of Indian summer monsoon rainfall.
  16. Pradhan, M., Srivastava, A., Rao, S.A., Banerjee, D.S., Chatterjee, A., Francis, P.A., Sreejith, O.P., Gupta, M.D. and Prasad, V.S, 2021. Are ocean-moored buoys redundant for prediction of Indian monsoon?
  17. Pradhan, M., Rao, S.A., Bhattacharya, A. and Balasubramanian, S, 2022 Improvements in Diurnal Cycle and its Impact on Seasonal Mean by Incorporating COARE flux Algorithm in CFS.
  18. Gade S.V., Sreenivas P., Rao Suryachandra A., Srivastava Ankur, Pradhan M.,2022 Impact of the Ensemble Kalman Filter based Coupled Data Assimilation System on Seasonal Prediction of Indian Summer Monsoon Rainfall
  19. Das Renu S., Rao Suryachandra A., Pillai P.A., Srivastava Ankur, Pradhan M., Dandi R.A., 2022 Why coupled general circulation models overestimate the ENSO and Indian Summer Monsoon Rainfall (ISMR) relationship?
  20. Pillai, P. A., Rao, S. A., V. Gangadharan, K., Pradhan, M., Srivastava, A., & Jain, D. K., 2022. Impact of reduced ENSO variability and amplitude on ISMR prediction in the long-lead forecasts of monsoon mission CFS.
  21. Das, R.S., Rao, S.A., Pillai, P.A., Pradhan, M. and Srivastava, A., 2023.Role of south-west Indian orography in modulating large-scale monsoon circulation.
  22. Pradhan, M., Rao, S.A. & Bhattacharya, 2024 A Towards a realistic MISO simulation: impact of rectification.
  23. Jain, D., Rao, S. A., Dandi, R. A., Pillai, P. A., Srivastava, A., Pradhan, M., and Gangadharan, K. V., 2024 Monsoon Mission Coupled Forecast System version 2.0: model description and Indian monsoon simulations
  24. Dhage, P.M., Srivastava, A., Rao, S.A., Soni, A. and Pradhan, M., 2024.Applicability of seasonal forecasts from dynamical models for reservoir management practices

    Other Publications

  1. Mujumdar, M., Gnanaseelan, C. and Rajeevan, M., 2015. A Research Report on the 2015 Southwest Monsoon.
  2. D.S. Pai, O. P. Sreejith, A. Suryachandra Rao, Arti Bandgar, Kailas Sonawane, Madhuri Musale, Ankur Srivastava, Maheswar Pradhan, Gibies George and Ashish Dhakate, 2017. Operational and experimental long range forecasts, Monsoon 2016, A Report.
  3. Suryachandra A. Rao Gill Martin, Ankur Srivastava, Susmitha Joseph, Rajib Chattopadhay, José Rodriguez, Michael Vellinga, Richard Levine, Sean Milton, Maheswar Pradhan, 2019. Progress report on common and differing characteristics between modelling systems, with priority for future process study.
  4. US CLIVAR Workshop Report on “Tropical Pacific Observing Needs to Advance Process Understanding and Representation in Models Workshop”
  5. Maheswar Pradhan, Thesis, The Interdisciplinary Programme (IDP) in Climate Studies, Indian Institute of Technology, Bombay, Mumbai, India. Improving Air-Sea Interaction in Coupled Models

    International Talks/Conferences

  1. Presented poster titled “Importance of Moored Buoy Observations towards Monsoon Prediction: A Case Study” in “Tropical Pacific Observing Needs to Advance Process Understanding and Representation in Models Workshop” during May 24, 2021 - May 26, 2021.
  2. Presented our recent work “Improvements in the tropical diurnal cycle by incorporating COARE flux algorithm in CFSv2” in Seventh WMO International Workshop on Monsoons (IWM-7) from 22-26th March 2022, New Delhi, India.
  3. Presented poster titled "Improving Thermodynamic Air-Sea Interaction in Coupled Model: Impact on Monsoon Simulation" at WCRP Open Science Conference, Kigali, Rwanda, from 23-27th October 2023.
  4. Participant of training school on “Climate Data Science & Artificial Intelligence in the Global South” from 29-31st October 2023 at the University of Rwanda, Kigali, sponsored by World Climate Research Programme (WCRP) Stratosphere-troposphere Processes And their Role in Climate (SPARC)
  5. Presented oral talk on “Modeling Ocean Diurnal Cycle and its Scale Interaction to Longer Scale Climate Variabilities” at the WOSC-2024 conference to be held during 27th–29th February 2024, Chennai, India.
  6. Presented a poster and participated in the discussion sessions themed “to bridge between ocean modeling and machine learning communities,” during the OMDP-COMMODORE Workshop at NCAR’s Mesa Laboratory, Boulder, USA.
  7. Participated in "CESM Workshop 2024" virtually and presented my work on " Modelling Ocean Diurnal Cycle and its Scale Interaction to Longer Scale Climate Variabilities" in the Ocean Model Working Group (OMWG) discussion meeting on Jun 10th, 2024.
  8. Oral talk on "Ocean Diurnal Cycle and its Rectification into Longer Time Scale: Impact on Tropical Variabilities" at Ocean Predict-2024 (OP'24) Symposium held from 18 to 22 November 2024 at UNESCO, Paris
    9. Poster on "Observing System Experiments focusing Monsoon Prediction" at Ocean Predict-2024 (OP'24) Symposium held from 18 to 22 November 2024 at UNESCO, Paris

Contact

Contact Me

Below are the details to reach out to me!

Address

Monsoon Mission Group, Indian Institute of Tropical Meteorology, Dr. Homi Bhabha Road, Pashan, Pune, India, 411008

Contact Number

+91 20-20504306

Email Address

maheswar@tropmet.res.in

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Maheswar



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