आईआईटीएम
IITM

23. Jain, D., Rao, S. A., Dandi, R. A., Pillai, P. A., Srivastava, A., Pradhan, M., and Gangadharan, K. V.: Monsoon Mission Coupled Forecast System version 2.0: model description and Indian monsoon simulations, Geosci. Model Dev., 17, 709–729, https://gmd.copernicus.org/articles/17/709/2024 

22. Pradhan, M., Rao, S.A. & Bhattacharya, A. Towards a realistic MISO simulation: impact of rectification. Clim Dyn (2024). https://doi.org/10.1007/s00382-023-07053-6

21. Das, R.S., Rao, S.A., Pillai, P.A. et al. Role of south-west Indian orography in modulating large-scale monsoon circulation. Theor Appl Climatol 154, 1277–1290 (2023). https://doi.org/10.1007/s00704-023-04597-9

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. International Journal of Climatology, 42(16), 9166– 9181. https://doi.org/10.1002/joc.7809

19. Das Renu S., Rao Suryachandra A., Pillai P.A., Srivastava Ankur, Pradhan M., Dandi R.A., Why coupled general circulation models overestimate the ENSO and Indian Summer Monsoon Rainfall (ISMR) relationship?, Climate Dynamics, 59, November 2022, DOI:10.1007/s00382-022-06253-w, 2995–3011

18. Gade S.V., Sreenivas P., Rao Suryachandra A., Srivastava Ankur, Pradhan M., Impact of the Ensemble Kalman Filter based Coupled Data Assimilation System on Seasonal Prediction of Indian Summer Monsoon Rainfall, Geophysical Research Letters, 49: e2021GL097184, August 2022, DOI:10.1029/2021GL097184, 1-20

17. Pradhan M, Rao Suryachandra A., Bhattacharya A., Balasubramanian S., Improvements in Diurnal Cycle and Its Impact on Seasonal Mean by Incorporating COARE Flux Algorithm in CFS, Frontiers in Climate, 3: 792980, February 2022, DOI:10.3389/fclim.2021.792980, 1-21

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. Are ocean-moored buoys redundant for prediction of Indian monsoon?. Meteorol Atmos Phys (2021). https://doi.org/10.1007/s00703-021-00792-3

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. International Journal of Climatology, 1– 25. https://doi.org/10.1002/joc.7169

14. Amat H.B., Pradhan M., Tejavath C.T., Dey Avijit, Rao Suryachandra A., Sahai A.K., Ashok K., Value addition to forecasting: towards Kharif rice crop predictability through local climate variations associated with Indo-Pacific climate drivers, Theoretical and Applied Climatology, 144, May 2021, DOI:10.1007/s00704-021-03572-6, 917-929 

13. Pillai P.A., Rao Suryachandra A., Srivastava Ankur, Dandi R.A., Pradhan M., Das Renu S., Impact of the tropical Pacific SST biases on the simulation and prediction of Indian summer monsoon rainfall in CFSv2, ECMWF-System4, and NMME models, Climate Dynamics, 56, March 2021, DOI:10.1007/s00382-020-05555-1, 1699-1715

12. Pradhan M., Rao Suryachandra A., Srivastava Ankur, Factors responsible for consecutive deficit Indian monsoons during 2014 and 2015, Theoretical and Applied Climatology, 143, February 2021, DOI:10.1007/s00704-020-03486-9, 1473-1486

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. Theoretical and Applied Climatology, pp.1-14, https://doi.org/10.1007/s00704-020-03470-3

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. Bulletin of the American Meteorological Society, (2019). DOI:https://doi.org/10.1175/BAMS-D-17-0330.1

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. Climate Dynamics, pp.1-17. DOI: https://doi.org/10.1007/s00382-019-04921-y

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. MAUSAM, 70(2), pp.265-276

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. International Journal of Climatology, 38, pp.e847-e861. DOI: https://doi.org/10.1002/joc.5413

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, 131(2), pp.211-224. DOI: https://doi.org/10.1007/s00703-017-0565-2

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. Scientific reports, 7(1), p.14229. DOI: https://doi.org/10.1038/s41598-017-12594-y

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. Journal of Geophysical Research: Oceans, 122(8), pp.6394-6415. DOI: https://doi.org/10.1002/2016JC012322

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. International Journal of Climatology, 37(5), pp.2280-2294. DOI: https://doi.org/10.1002/joc.4841

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. Journal of hydrology, 546, pp.103-112. DOI: https://doi.org/10.1016/j.jhydrol.2017.01.010

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. Curr. Sci, 112, pp.68-75. DOI: 10.18520/cs/v112/i01/68-75

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.

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.

1. Mujumdar, M., Gnanaseelan, C. and Rajeevan, M., 2015. A Research Report on the 2015 Southwest Monsoon. ESSO/IITM/SERP/SR/02 (2015)/185. http://www/tropmet. res. in.