आईआईटीएम
IITM

19. Ganai M., Tirkey S., Krishna R.P.M., Johny C.J., Goswami T., Deshpande M., Mukhopadhyay P., Evaluation of GFS T1534 hindcast precipitation skill over the Indian summer monsoon region, Climate Dynamics, 64: 91, February 2026, DOI:10.1007/s00382-026-08072-9, 1-25

18. Jana S., Rakshit G., Sarkar Sahadat, Balakrishnan S., Ganai M., Chakravarty Kaustav, Sai Krishnan K.C., Mukhopadhyay P., Unraveling the July 2023 extreme rainfall in New Delhi: microphysical insights and large-scale atmospheric drivers, Climate Dynamics, 63: 413, October 2025, DOI:10.1007/s00382-025-07910-6, 1-23

17. Tirkey S., Goswami T., Ganai M., Phani M.K.R., Deshpande M., Mukhopadhyay P., Pattanaik D.R., Effective forecast diagnostics for predicting extreme rainfall events: A statistics-based approach, Journal of Earth System Science, 134: 154, July 2025, DOI:10.1007/s12040-025-02608-z, 1-19

16. Ganai M., Phani M.K.R., Tirkey S., Mukhopadhyay P., Sensitivity of enhanced vertical resolution in the operational Global Forecast System (GFS) T1534 on the short to medium range forecast of Indian summer monsoon, Climate Dynamics, Online, June 2024, DOI:10.1007/s00382-024-07316-w, 1-23

15. Phani M.K.R., Ganai M., Tirkey S., Mukhopadhyay P., Revised cloud processes to improve the simulation and prediction skill of Indian summer monsoon rainfall in climate forecast system model, Climate Dynamics, Online, January 2023, DOI:10.1007/s00382-023-06674-1, 1-22

14. Mukhopadhyay P., Bechtold P., Zhu Y., Krishna R.P.M., Kumar Siddharth, Ganai M., Tirkey S., Goswami T., Mahakur M., Deshpande M., Prasad V.S., Johny C.J., Mitra A., Ashrit R., Sarkar A., Sarkar Sahadat, Roy Kumar, Andrews E., Kanase R., Malviya S., Abhilash S., Domkawle M., Pawar S.D., Mamgain A., Durai V.R., Nanjundiah R.S., Mitra A.K., Rajagopal E.N., Mohapatra M., Rajeevan M., Unravelling the mechanism of extreme (more than 30 sigma) precipitation during August 2018 and 2019 over Kerala, India, Weather and Forecasting, 36, August 2021, DOI:10.1175/WAF-D-20-0162.1, 1253–1273

13. Mukhopadhyay P., Bechtold P., Zhu Y., Krishna R.P.M., Kumar Siddharth , Malay Ganai ... et al, Unravelling the mechanism for extreme rain events in Kerala, India, Bulletin of the American Meteorological Society, May 2021, 400-401 (Nowcast: Papers of Note)

12. Ganai M., Tirkey S., Krishna R.P.M., Mukhopadhyay P., The impact of modified rate of precipitation conversion parameter in the convective parameterization scheme of operational weather forecast model (GFS T1534) over Indian summer monsoon region, Atmospheric Research, 248: 105185, January 2021, DOI:10.1016/j.atmosres.2020.105185, 1-16

11. Rao, A. S., & Co-authors (2020), Monsoon Mission: A Targeted Activity to Improve Monsoon Prediction across scales Bulletin of the American Meteorological Society 100 2509- 2532.

10. Roy K, Mukhopadhyay P, Krishna RPM, Ganai Malay, Mahakur M., Rao T. N., Nair Anish Kumar M., Ramakrishna S. S. V. S., Assessment of climate models in relation to the low-level clouds over the southern Indian Ocean. Quarterly Journal of Royal Meteorological Society, 146, October 2020, Pt. A, DOI:10.1002/qj.3847, 3306-3325

9. Goswami T., Mukhopadhyay P., Ganai M., Krishna R.P.M., Mahakur M., Han J., How changing cloud water to rain conversion profile impacts on radiation and its linkage to a better Indian summer monsoon rainfall simulation, Theoretical and Applied Climatology, 141, August 2020, DOI:10.1007/s00704-020-03222-3, 947–958

8. Roy Kumar, Mukhopadhyay P., Krishna R.P.M., Ganai M., Mahakur M., Rao T.N., Nair A.K.M., Ramakrishna S.S.V.S., Sensitivity of climate models in relation to the “pool of inhibited cloudiness” over South of the Bay of Bengal, International Journal of Climatology, 40, June 2020, DOI:10.1002/joc.6423, 3714-3730

7. P. Mukhopadhyay, V. S. Prasad, R. Phani Murali Krishna, Medha Deshpande, Malay Ganai, Snehlata Tirkey, Sahadat Sarkar, Tanmoy Goswami, C.J. Johny, Kumar Roy, M. Mahakur, V. R. Durai and M. Rajeevan (2019) Performance of very high resolution Global Forecast System Model (GFS T1534) at 12.5 km over Indian region during 2016 - 2017 monsoon seasons, Journal of Earth System Science, 128, 1-18.

6. Ganai, M., Krishna, R. P. M., Tirkey, S., Mukhopadhyay, P., Mahakur, M., & Han, J.‐Y. (2019). The impact of modified fractional cloud condensate toprecipitation conversion parameter inrevised simplified Arakawa‐Schubert convection parameterization schemeon the simulation of Indian summerMonsoon and its forecast application on an extreme rainfall event over Mumbai. Journal of Geophysical Research:Atmospheres, May, 124. https://doi.org/10.1029/2019JD030278, 1-21

5. Ganai M., Mukhopadhyay P., Phani Murali Krishna R., Abhik S., Halder M., 2019: Revised cloud and convective parameterization in CFSv2 improve the underlying processes for northward propagation of Intraseasonal oscillations as proposed by the observation-based study. Climate Dynamics, online, February 2019, DOI:10.1007/s00382-019-04657-9, 1-13

4. Dhrubajyoti Samanta, Saji N. Hameed, Dachao Jin, Vishnu Thilakan, Malay Ganai, Suryachandra A. Rao and Medha Deshpande (2018) Impact of a Narrow Coastal Bay of Bengal Sea Surface Temperature Front on an Indian Summer Monsoon Simulation. Scientific Reports, 8, 1-12

3. Abhik S., Krishna R.P.M., Mahakur M.,Ganai M., Mukhopadhyay P., Dudhia J., 2017: Revised cloud processes to improve the mean and intraseasonal variability of Indian summer monsoon in climate forecast system: Part 1, Journal of Advances in Modeling Earth Systems, 9, May 2017, DOI:10.1002/2016MS000819, 1-28

2. Ganai M., Krishna R.P.M., Mukhopadhyay P., Mahakur M., 2016: The impact of revised siplified Arakawa-Schubert scheme on the simulation of mean and diurnal variability associated with active and break phases of Indian Summer Monsoon using CFSv2, Journal of Geophysical Research, 121, August 2016, doi: 10.1002/2016JD025393, 1-50..

1. Ganai M., Mukhopadhyaya P., Phani Murali Krishna R., Mahakur M., Impact of revised simplified Arakawa–Schubert convection parameterization scheme in CFSv2 on the simulation of the Indian summer monsoon, Climate Dynamics (Published online), September 2014, DOI:10.1007/s00382-014-2320-4, 1-22.