Selected Recent Publications 2017-2022

∗Indicates Student Author


• 1. Kushwaha P K∗, J Sukhatme and R S Nanjundiah, 2021: A Global Survey of Mid-Tropospheric Cyclones and Case Studies from the Arabian Sea. . Monthly Weather Review 149 (8), 2737-2753.


• 2. Kumar R., Ghude S.D., Biswas M., Jena C., Alessandrini S., Debnath S., Kulkarni S., Sperati S., Soni V.K., Nanjundiah R.S., Rajeevan M., Enhancing accuracy of air quality and temperature forecasts during paddy crop residue burning season in Delhi via chemical data assimilation, Journal of Geophysical Research: Atmospheres, 125: e2020JD033019, September 2020, DOI: 10.1029/2020JD033019, 1-16


• 3. Srivastava G ∗ Chakraborty, R S Nanjundiah 2020: Multidecadal variations in ENSO-Indian summer monsoon relationship at sub-seasonal timescales,. Theoretical and Applied Climatology 140 (3-4), 1299- 1314


• 4. Pathak, H S∗, S K Satheesh, K K Moorthy, and R S Nanjundiah, 2020 : Assessment of regional aerosol radiative effects under the SWAAMI campaign – Part 2: Clear-sky direct shortwave radiative forcing using multi-year assimilated data over the Indian subcontinent, Atmos. Chem. Phys., 20, 14237–14252, https://doi.org/10.5194/acp-20-14237-2020, 2020.


• 5. Mukhopadyay P, R Krishnan, R S Nanjundiah and M Mohapatra, 2020: Prediction of Extreme Events: Current Status and Future Pathways against the backdrop of climate change. Bull Amet Soc., doi: 10.1175/BAMS-D-20-0037.1


• 6. Saha M, A Santara, P Mitra, A Chakraborty, and R S Nanjundiah, 2020:Prediction of the Indian Summer Monsoon Using Stacked Autoencoder and Ensemble Regression Model. International Journal of Forecasting, 10.1016/j.ijforecast.2020.03.001.


• 7. Karmakar N, A Chakraborty and R S Nanjundiah, 2019: Influence of a global sea surface temperature mode on ultra-low frequency variability in the Indian summer monsoon rainfall. Quarterly Journal of Royal Meteorological Society, doi: 10.1002/qj.3715


• 8. Rao S A, B. N. Goswami, A. K. Sahai, E. N. Rajagopal, P. Mukhopadhyay, M. Rajeevan, S. Nayak, L. S. Rathore, S. S. C. Shenoi, K. J. Ramesh, R. Nanjundiah, M. Ravichandran, A. K. Mitra, D. S. Pai, S. K. R. Bhowmik, A. Hazra, S. Mahapatra, S. K. Saha, H. S. Chaudhari, S. Joseph, S. Pentakota, S. Pokhrel, P. A. Pillai, R. Chattopadhyay, M. Deshpande, R. P. M. Krishna, S. Abhilash, S. Panickal, R. Krishnan, S. Kumar, D. A. Ramu, S. S. Reddy, A. Arora, T. Goswami, A. Rai, A. Srivastava, M. Pradhan, S. Tirkey, M. Ganai, R. Mandal, A. Dey, S. Sarkar, S. Malviya , A. Dhakate, K. Salunke: 4 MONSOON MISSION: A targeted activity to improve monsoon prediction across scales. Bulletin of American Meteorological Society, doi:10.1175/BAMS-D-17-0330.1


• 9. Govardhan G, S K Satheesh, K Krishnamoorthy, R S Nanjundiah, 2019: Simulations of Black Carbon Over Indian Region: Improvements and Implications of Diurnality in Emissions. Atmospheric Chemistry and Physics, 19, 8229-8241.


• 10. Sonali P, R S Nanjundiah and D N Kumar, 2018: Detection and attribution of climate change signal in South India temperature. Climate Research,76, 145-160.


• 11. Jain D K∗, A Chakraborty and R S Nanjundiah, 2018: A Mechanism for the Southward Propagation of Mesoscale Convective Systems Over the Bay of Bengal. Journal of Geophysical Research - Atmospheres doi:10.1002/2017JD027470


• 12. Karmakar N∗, A Chakraborty and R S Nanjundiah, 2017: Increased sporadic extremes decrease the intraseasonal variability in the Indian summer monsoon rainfall Scientific Reports 7:7824 DOI:10.1038/s41598- 017-07529-6

Complete List of Publications of Ravi Nanjundiah

Journal Publications

Note: ∗ Indicates student author

• 108. P Kushwaha, J Sukhatme and RS Nanjundiah, 2023:Classification of Mid-Tropospheric Cyclones over the Arabian Sea and Western India. Quarterly Journal of Royal Meteorological Society, doi.org/10.1002/qj.4466


• 107. S D Ghude, S Wagh, A N Parde, N Dhangar, R Kulkarni, P Acharja, R K Jenamani, P Lonkar, G Govardhan, P Yadav, A Vispute, S Debnath, D. M. Lal, P Pithani, D. S. Bisht, Chinmay Jena, P V. Pawar, S S Dhankhar, V. Sinha, D. M. Chate, P. D. Safai, N. Nigam1, T. Dharmaraj, V. Gopalkrishnan, B. Padmakumari, Ismail Gultepe, M Biswas9, A. K. Karipot, Thara Prabhakaran, R S Nanjundiah and M. Rajeevan (2022): Walk into the Warm Fog over Indo-Gangetic Plain Region. Bulletin of American Meteorological Society, https://doi.org/10.1175/BAMSD-21-0197.1


• 106. B Kumar , K Atey, B B Singh, R Chattopadhyay, N Acharya, M Singh, R S Nanjundiah, S A Rao, 2023: On the modern deep learning approaches for precipitation Earth Science Informatics, https://doi.org/10.1007/s12145- 023-00970-4


• 105. B Kumar, N Abhishek, R Chattopadhyay, S George, B B Singh, A Samanta, BSV Patnaik, S S Gill, R S Nanjundiah, M Singh,2022: Deep Learning Based Short-range Forecasting of Indian Summer Monsoon Rainfall using Earth Observation and Ground Station Datasets Geocarto International, doi.org/10.1080/10106049.2022.2136262


• 104. VK Banakar, S Baidya, D Shankar, RS Nanjundiah, V Jain,2022: Possible zonal asymmetry of the Indian summer monsoon rainfall after 5 ka BP as revealed by palaeo-salinity in the eastern Arabian Sea. Journal of Earth System Science, 131, 161 (2022),doi: doi.org/10.1007/s12040-022- 01897-y


• 103. Singh M B Kumar, R Chattopadhyay, Amarjyothi K, A K Sutar, Sukanta Roy, S A Rao, R S Nanjundiah,2022: Machine learning for Earth System Science (ESS): A survey, status and future directions for South Asia. Current Science 122 (9), 1019-1:1030 doi: 10.18520/cs/v122/i9/1019-1030


• 102. Gayatrivani K, G. M. Mohan, A. Hazra, S. D. Pawar, S. Pokhrel, H. S. Chaudhari, M. Konwar, S K.Saha, C. Mallick, S. K. Das, S. Deshpande, S. D. Ghude, M. Domkawale, S. A. Rao, R. S. Nanjundiah, and M. Rajeevan, 2022:Evaluation and Usefulness of Lightning Forecasts Made with Lightning Parameterization Schemes Coupled with the WRF Model. Weather and Forecasting,37,709-726


• 101. Kushwaha P K ∗, J Sukhatme and R S Nanjundiah, 2021: A Global Survey of Mid-Tropospheric Cyclones and Case Studies from the Arabian Sea. . Monthly Weather Review 149 (8), 2737-2753.


• 100. 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.2021:Unravelling the mechanism of extreme (more than 30 sigma) precipitation during August 2018 and 2019 over Kerala, India, Weather and Forecasting 36 (4), 1253-1273


• 99. PV Arushi ∗, Arindam Chakraborty, Ravi S Nanjundiah,2021: Recent weakening in MJO-related convective activity over the equatorial Indian Ocean and Maritime Continent. Theoretical and Applied Climatology , 143, 267-278


• 98. Mohan G M, Gayatri Vani K, Anupam Hazra, H S. Chaudhari, S Pokhrel, S. D. Pawar, Mahen Konwar, S K. Saha, S K. Das , S Deshpande, S Ghude, M. C. Barth, S. A. Rao, R. S. Nanjundiah and M. Rajeevan, 2021: Evaluating different lightning parameterization schemes to simulate lightning flash counts over Maharashtra, India,Atmospheric Research, DOI:10.1016/j.atmosres.2021.105532, 1-22


• 97. Chinmay Jena, Sachin D Ghude, Rajesh Kumar, Sreyashi Debnath, Gaurav Govardhan, Vijay K Soni, Santosh H Kulkarni, G Beig, Ravi S Nanjundiah, M Rajeevani 2021:Performance of high resolution (400 m) PM2.5 forecast over Delhi. Scientific Reports 4104 2021


• 96. B Kumar, M Rehme, N Suresh, N Cherukuru, S Jaroszynski, AS Rao and R S Nanjundiah,2021: Optimization of DNS code and visualization of entrainment and mixing phenomena at cloud edges. Parallel Computing 107, 10281


• 95. Kumar R., Ghude S.D., Biswas M., Jena C., Alessandrini S., Debnath S., Kulkarni S., Sperati S., Soni V.K., Nanjundiah R.S., Rajeevan M., Enhancing accuracy of air quality and temperature forecasts during paddy crop residue burning season in Delhi via chemical data assimilation, Journal of Geophysical Research: Atmospheres, 125: e2020JD033019, September 2020, DOI: 10.1029/2020JD033019, 1-16


• 94. Srivastava S ∗ Chakraborty, R S Nanjundiah 2020: Multidecadal variations in ENSO-Indian summer monsoon relationship at sub-seasonal timescales,. Theoretical and Applied Climatology 140 (3-4), 1299-1314‘


• 93. Pathak, H S, S K Satheesh, K K Moorthy, and R S Nanjundiah, 2020 : Assessment of regional aerosol radiative effects under the SWAAMI campaign – Part 2: Clear-sky direct shortwave radiative forcing using multiyear assimilated data over the Indian subcontinent, Atmos. Chem. Phys., 20, 14237–14252, https://doi.org/10.5194/acp-20-14237-2020, 2020.


• 92. Mukhopadyay P, R Krishnan, R S Nanjundiah and M Mohapatra, 2020: Prediction of Extreme Events: Current Status and Future Pathways against the backdrop of climate change. Bull Amet Soc., doi: 10.1175/BAMSD-20-0037.1


• 91. Jahfer S∗, P N Vinayachandran and R S Nanjundiah, 2020: he role of Amazon river runoff on the multidecadal variability of Atlantic ITCZ. Environmental Res Lett., 15 , 054013.


• 90. Saha M, A Santara, P Mitra, A Chakraborty, and R S Nanjundiah, 2020:Prediction of the Indian Summer Monsoon Using Stacked Autoencoder and Ensemble Regression Model. Internation Journal of Forecasting, 10.1016/j.ijforecast.2020.03.001.


• 89. Pithani P, S D Ghude, R K Jenamani, M Biswas, C V Naidu, S Debnath, R Kulkarni, N G Dhangar, C Jena, A Hazra, R Phani, P Mukhopadhyay, T Prabhakaran, R S Nanjundiah, and M Rajeevan, 2020: Realtime Forecast of Fog Events Over Delhi: The Performance of the WRF Model during WiFEX Field Campaign. Weather and Forecasting, doi: 10.1175/WAF-D-19-0104.1


• 88. Ghude S D , Rajesh Kumar, Chinmay Jena, Sreyashi Debnath, Rachana G. Kulkarni, Stefano Alessandrini, Mrinal Biswas , Santosh Kulkrani, Prakash Pithani , D.M. Chate, V.K. Soni5, Siddhartha Singh, R S. Nanjundiah, M. Rajeevan, 2019: Evaluation of PM2.5 forecast using chemical data assimilation in WRF-Chem model: a new initiative under the Minsitry of Earth Sciences (MoES) Air Quality Early Warning System (AQEWS) for Delhi. Current Science, 118, 1803


• 87. Srivastava G∗, A Chakraborty and R S Nanjundiah, 2020: Multidecadal variations in ENSO-Indian summer monsoon relationship at sub-seasonal timescales. Theoretical and Applied Climatology, doi:10.1007/s00704-020- 03122-6


• 86. Karmakar N, A Chakraborty and R S Nanjundiah, 2019: Influence of a global sea surface temperature mode on ultra-low frequency variability in the Indian summer monsoon rainfall. Quarterly Journal of Royal Meteorological Society, doi: 10.1002/qj.3715


• 85. Rao S A, B. N. Goswami, A. K. Sahai, E. N. Rajagopal, P. Mukhopadhyay, M. Rajeevan, S. Nayak, L. S. Rathore, S. S. C. Shenoi, K. J. Ramesh, R. Nanjundiah, M. Ravichandran, A. K. Mitra, D. S. Pai, S. K. R. Bhowmik, A. Hazra, S. Mahapatra, S. K. Saha, H. S. Chaudhari, S. Joseph, S. Pentakota, S. Pokhrel, P. A. Pillai, R. Chattopadhyay, M. Deshpande, R. P. M. Krishna, S. Abhilash, S. Panickal, R. Krishnan, S. Kumar, D. A. Ramu, S. S. Reddy, A. Arora, T. Goswami, A. Rai, A. Srivastava, M. Pradhan, S. Tirkey, M. Ganai, R. Mandal, A. Dey, S. Sarkar, S. Malviya , A. Dhakate, K. Salunke: MONSOON MISSION: A targeted activity to improve monsoon prediction across scales. Bulletin of American Meteorological Society, doi:10.1175/BAMS-D-17-0330.1


• 84. Saha M, R S Nanjundiah, 2019: Deep Learning Based Identification of Predictors and Prediction of ENSO and EQUINOO Indices. Accepted for Publication in Meteorological Applications.


• 83. Viswanath, S., Saha, M., Mitra, P., Nanjundiah, R.S. (2019). Deep Learning Based LSTM and SeqToSeq Models to Detect Monsoon Spells of India. In: Rodrigues, J., et al. Computational Science – ICCS 2019. ICCS 2019. Lecture Notes in Computer Science(), vol 11537. Springer, Cham. https://doi.org/10.1007/978-3-030-22741-8-15


• 82. Pathak, H S∗ , S K Satheesh, R S Nanjundiah, K Krishnamoorthy, S Lakshmivarahan, S N S Babu, 2018: Assessment of Regional Aerosol Radiative Effects under SWAAMI Campaign – PART 1: Quality-enhanced Estimation of Columnar Aerosol Extinction and Absorption Over the Indian Subcontinent. Accepted for publication in Atmospheric Chemistry and Physics.


• 81. Govardhan G, S K Satheesh, K Krishnamoorthy, R S Nanjundiah, 2019: Simulations of Black Carbon Over Indian Region: Improvements and Implications of Diurnality in Emissions. Atmospheric Chemistry and Physics, 19, 8229-8241.


• 80. Banerjee P, S K Satheesh, K Krishnamoorthy, R S Nanjundiah, V S Nair, 2019: Long-Range Transport of Mineral Dust to the Northeast Indian Ocean: Regional versus Remote Sources and the Implications. J of Climate, 32, 1525-1549 DoI: 10.1175/JCLI-D-18-0403.1


• 79. Srivastava G∗∗, A Chakraborty and R S Nanjundiah, 2018: Multidecadal see-saw of the impact of the ENSO on Indian and West African summer monsoon rainfall. Climate Dynamics doi:10.1007/s00382-018- 4535-2 .


• 78. Kumar B, M Bhowmik, R S Nanjundiah, 2018: Clouds, microphysical processes and small-scale simulations. Current Science, 115, 1636-1637


• 77. Sonali P, R S Nanjundiah and D N Kumar, 2018: Detection and attribution of climate change signal in South India temperature. Climate Research,76, 145-160.


• 76. Jain D K∗, A Chakraborty and R S Nanjundiah, 2018: A Mechanism for the Southward Propagation of Mesoscale Convective Systems Over the Bay of Bengal. Journal of Geophysical Research - Atmospheres doi:10.1002/2017JD027470


• 75. Sonali P, R S Nanjundiah and D N Kumar, 2017: Linkage between global sea surface temperature and hydroclimatology of a major river basin of India before and after 1980. Environmental Research Letters, 12, 124002.


• 74. Govardhan G∗ , S K Satheesh, R S Nanjundiah, K Krishnamoorty and S Suresh Babu, 2017:Possible climatic implications of high altitude emissions of black carbon. Atmospheric Chemistry and Physics, 17, 9623-9644.


• 73. Karmakar N∗ , A Chakraborty and R S Nanjundiah, 2017: Increased sporadic extremes decrease the intraseasonal variability in the Indiansummer monsoon rainfall Scientific Reports 7:7824 DOI:10.1038/s41598-017- 07529-6 .


• 72. Arushi P V ∗, A Chakraborty and R S Nanjundiah, 2017: Orographic Control of the Bay of Bengal Cold Pool Rainfall. Journal of Earth System Sciences, 126: 111, https://doi.org/10.1007/s12040-017-0892-1


• 71. Saha M∗ , P Mitra and R S Nanjundiah, 2017: Deep learning for predicting the monsoon over the homogeneous regions of India Journal of Earth System Science, 126: 54, https://doi.org/10.1007/s12040-017-0838-7.


• 70. Jahfer S∗ , P N Vinayachandran, R S Nanjundiah, 2017: Long-term impact of Amazon river runoff on northern hemispheric climate Scientific Reports 7:10989 DOI:10.1038/s41598-017-10750-y


• 69. Karmakar N∗ , A Chakraborty and R S Nanjundiah, 2017: The SpatioTemporal Structures and Relative Roles of Low- and High-Frequency Intraseasonal Modes in Indian Summer Monsoon Rainfall. Monthly Weather Review, 145 413-435.


• 68. Kashyap, A, S S Vadhiyar, R S Nanjundiah, P N Vinayachandran, 2017: Asynchronous and Synchronous Models of Executions on Intel Xeon Phi Coprocessor Systems for High Performance of Long Wave Radiation Calculations in Atmosphere models. Journal of Parallel and Distributed Computing, 102, 199-212.


• 67. Anandhi A, N Omani, I Chaubey, R Horton, D Bader and R S Nanjundiah, 2017: Synthetic Scenarios from CMIP5 Model Simulations for Climate Change Impact Assessments in Managed Ecosystems and Water Resources: Case Study in South Asian Countries Transactions of the ASABE 59(6) 1715-1731. doi: 10.13031/trans.59.11585


• 66. Ghosh R∗, A Chakraborty and R S Nanjundiah, 2016: Relative Role of Pre-monsoon Conditions and Intraseasonal Oscillations in Determining Early-vs-Late Indian Monsoon Intensity in a GCM. Theoretical & Applied Climatology doi:10.1007/s00704-016-1970-z.


• 65. Sonali P∗, D N Kumar and R S Nanjundiah, 2016: Intercomparison of CMIP5 and CMIP3 simulations of the late 20th century temperature extremes over India and detection of climatic trends. Theoretical & Applied Climatology DOI:10.1007/s00704-015-1716-3


• 64. Saha M∗, P Mitra and R S Nanjundiah, 2016: Autoencoder Based Climatic Index Discovery for Prediction of Indian Monsoon. Meteorology & Atmospheric Physics DOI: 10.1007/s00703-016-0431-7 .


• 63. Govardhan G∗, R S Nanjundiah, S K Satheesh, K Krishnamoorthy and T Takemura, 2016: Inter-comparison and performance evaluation of chemistry transport models over Indian region. Atmospheric Environment, 125, 486-504.


• 62. Das Gupta A∗, A S V Murthy and R S Nanjundiah, 2015: A study of singularities in the inviscid linear theory of sea breezes. Int J Adv Eng Sci Appl Math, DOI 10.1007/s12572-015-0129-y


• 61. Vinaychandran P N, J Sharief∗ and R S Nanjundiah, 2015: Impact of River Runoff into the Ocean on Indian Summer Monsoon. Environmental Research Letters, 10 doi:10.1088/1748-9326/10/5/054008 .


• 60. Karmakar N ∗, A Chakraborty and R S Nanjundiah, 2015: Decreasing intensity of monsoon low-frequency intraseasonal variability over India. Environmental Research Letters, 10, doi:10.1088/1748-9326/10/5/054018.


• 59. Govardhan G ∗ , R S Nanjundiah, S K Satheesh, K K Moorthy and V R Kotamurthi,2015: Performance of WRF-Chem over Indian region: Comparison with measurements Journal of Earth System Science, 124, 875-896.


• 58. Venkatesh T N, J Mathew and R S Nanjundiah, 2014: Secondary instability as a mechanism for severe clear-air turbulence in the atmosphere. Meteorology & Atmospheric Physics, 126, 139-160


• 57. Anandhi A and R S Nanjundiah, 2014: Performance evaluation of AR4 Climate Models in simulating daily precipitation over the Indian region using skill scores. Theoretical and Applied Climatology doi:10.1007/s00704- 013-1043-5..


• 56. Chakraborty A, R S Nanjundiah and J Srinivasan, 2014: Radiative Impacts of Carbon Aerosols on South and East Asian Summer Monsoon: Proximate vs Remote. International Journal of Climatology, 34, 2108- 2121.


• 55. Anandhi A, V V Srinivas, D N Kumar, R S Nanjundiah and P H Gowda, 2014: Estimating future climate change scenarios of surface solar radiation in data sparse regions: a case study in Malaprabha river basin, India. Climate Research, 59 , pp. 259-270.


• 54. Chakraborty A and R S Nanjundiah, 2014: Role of Orography in Modulating Space-time Scales of Convection over South Asia. Theoretical and Applied Climatology 116, 549-564.


• 53. Doraiswamy H ∗, V Natarajan and R S Nanjundiah, 2013: An Exploration Framework to Identify and Track Movement of Cloud systems. IEEE Transactions on Visualization and Computer Graphics, 19(12), 2896-2905.


• 52. Jain D K ∗ , A Chakraborty and R S Nanjundiah, 2013: Role of Cloud Adjustment Time Scale on Simulation of Interannual Variability of Indian Summer Monsoon. Meteorology and Atmospheric Physics, 122, 159-173.


• 51. Nanjundiah R S, P A Francis, M Ved and S Gadgil, 2013: Predicting the extremes of Indian summer monsoon rainfall with coupled oceanatmosphere models. Current Science 104, 1380-1393


• 50. Das Gupta A J∗, A S V Murthy, R S Nanjundiah and C V Srinivas, 2013: A linear model for the sea breeze circulation relevant to the tropical regions. International Journal of Geomathematics 4, 97-135 (doi:10.1007/s13137- 013-0047-8).


• 49. Chakraborty A and R S Nanjundiah, 2012: Space-time Scales of Northward Propagation of Convection During Boreal Summer. in Monthly Weather Review, 140, 3857-3866.


• 48. Sajani S, K Krishna Moorthy, K Rajendran and R S Nanjundiah, 2012: Monsoon sensitivity to aerosol direct radiative forcing in the Community Climate Model. Journal of Earth System Sciences, 121, 867-889.


• 47. Sundari S M ∗, S S Vadhiyar and R S Nanjundiah, 2012: Large Improvements in Application throughput of Long-running Multi-Component Applications using Batch Grids. Concurrency and Computation: Practice and Experience, 24, 1775-1791 .


• 46. Rajendran K, R S Nanjundiah, S Gadgil and J Srinivasan, 2012: On simulation of the tropical SST-rainfall relationship by atmospheric and coupled models. Journal of Earth System Sciences, 121, 595-610.


• 45. Janakiraman S ∗ , R S Nanjundiah and A S Vasudevamurthy, 2012: A novel variable resolution global spectral method on the sphere. J of Computational Physics, 231, 2794-2810.


• 44. Jain D K ∗ , A Chakraborty and R S Nanjundiah, 2012: On the role of cloud adjustment time scale in simulating precipitation with relaxed Arakawa-Schubert Convection scheme. Meteorology and Atmospheric Physics 115 1-13.


• 43. Sundari S M ∗ , S S Vadhiyar and R S Nanjundiah, 2011: Adaptive Executions of Multi-Physics Coupled Applications on Batch Grids. Journal of Grid Computing, 9(4), 455-478.


• 42. Anandhi A, V V Srinivas, D Nagesh Kumar and R S Nanjundiah, 2011: Daily Relative Humidity Projections in an Indian River Basin for IPCC SRES Scenarios. Theoretical and Applied Climatology DOI 10.1007/s00704- 011-0511-z


• 41. Vialard J, P Terray, J-P Duvel, R S Nanjundiah, S S C Shenoi and D Shankar,2011: Factors Controlling January-April rainfall over southern India and Sri Lanka. Climate Dynamics 37, 493-507.


• 40. Nagaraj, S ∗, V Natarajan and R S Nanjundiah, 2011: A Gradient Based Comparison Measure for Visual Analysis of Multifield Data. Computer Graphics Forum, 30(3), 2011, 1101-1110.


• 39. Sahany S ∗, V Venugopal and R S Nanjundiah, 2010: The 26 July 2005 heavy rainfall event over Mumbai: numerical modeling aspects Meteorology & Atmospheric Physics 109, 115-128


• 38. Sahany S ∗, V Venugopal and R S Nanjundiah, 2010: Diurnal Scale Signatures of Monsoon Rainfall Over the Indian Region from TRMM Satellite Observations. Journal of Geophysical Research - Atmospheres, 115 D020103 doi:10.1029/2009JD012644, 2010.


• 37. Sundari S M ∗, S S Vadhidyar and R S Nanjundiah, 2010: Grids with Multiple Batch Systems for Performance Enhancement of MultiComponent and Parameter Sweep Parallel Applications. Future Generation Computing Systems, vol 26, 217-227.


• 36. Vinaychandran P N and R S Nanjundiah, 2009: Indian Ocean sea surface salinity variations in a coupled model. Climate Dynamics, doi:10.1007/s00382- 008-0511-6, 33, 245-263.


• 35. Anandhi A ∗, V V Srinivas, D N Kumar and R S Nanjundiah, 2009: Role of Predictors in Downscaling Surface Temperature to River Basin in India for IPCC SRES Scenarios using Support Vector Machine. International Journal of Climatology, 29, 583-603.


• 34. Chakraborty A, R S Nanjundiah and J Srinivasan, 2009: Impact of African Orography and the Indian Summer Monsoon on the low-level Somali Jet. Intl. Journal of Climatology, 29, 983-992.


• 33. Sundari S M ∗ , S S Vadhiyar and R S Nanjundiah, 2009: Dynamic Component Extension: A Strategy for Performance Improvement in MultiComponent Applications. International Journal of High Performance Computing Applications 23, pages 84-98.


• 32. Mishra S ∗, J Srinivasan and R S Nanjundiah, 2008: Impact of temporal resolution on ITCZ rainfall. Monthly Weather Review, 136, 4077-4091.


• 31. Sahaney S ∗ and R S Nanjundiah, 2008 : Impact of Convective Downdraft on Rainfall in an Aqua-planet model. Annales Geophysicae, 26, 1877-1887.


• 30. Nanjundiah R S, 2008: HPC: Its application in Climate Modelling. Computer Modelling in Engineering & Sciences, 27, 1-23.


• 29. Kumar S V ∗, R S Nanjundiah, M J Thazhuthaveetil, and R Govindrajan , 2008: Impact of Message Compression on the Scalability of an Atmospheric Modelling. Application on Clusters. Journal of Parallel Computing, doi:10.1016/j.parco-2007.10.0.002, 34, 1-16.


• 28. Anandhi A ∗, V V Srinivas, R S Nanjundiah and D Nagesh Kumar,2008: Downscaling Precipitation to River Basin in India for IPCC SRES Scenarios using Support Vector Machine. International Journal of Climatology, doi: 10.1002/joc.1529, 28, 401-420.


• 27. Nanjundiah R S and T.N. Krishnamurti, 2007: Intraseasonal Variations of Tropical Convergence Zones: Theory and Predictions. Current Science, 93, 173-181.


• 26. Chakraborty A ∗ , R S Nanjundiah, and J Srinivasan 2006: Theoritical Aspects of the Onset of Indian Summer Monsoon From Perturbed Orography Simulations in a GCM Annales Geophysicae, 24, 2075-2089.


• 25. Tripathi S ∗ , V. V. Srinivas and R S Nanjundiah, 2006: Downscaling of Precipitation for Climate Change Scenarios: A Support Vector Machine Approach. Journal of Hydrology, 330, 621-640.


• 24. Maity R ∗, D N Kumar and R S Nanjundiah, 2006: Review Of Hydroclimatic Teleconnection Between Hydrologic Variables And Large-Scale Atmospheric Circulation Patterns With Indian Perspective. Journal of Indian Hydrological Society, 13, 77-92.


• 23. M P Sudheer∗, R S Nanjundiah and A S V Murthy, 2006: Revisiting the Slow Manifold of Lorenz-Krishnamurthy Quintet. Discrete and Continous Dynamical Systems - Series B, 6, 1403-1416.


• 22. Vidyunmala V ∗, R S Nanjundiah and J Srinivasan, 2006: The Effect of Variation in SST and its Meridional gradient on the Equatorial and Offequatorial ITCZ in AGCM. Meteorology and Atmospheric Physics, 95, 239-253


• 21. Nanjundiah R S , V Vidyunmala ∗ and J Srinivasan, 2005: The impact of increase in CO2 on the simulation of tropical biennial oscillations (TBO) in 12 coupled general circulation models Atmospheric Science Letters, 6, 183-191 doi: 10.1002/asl.113.


• 20. Janakiraman S ∗ , R S Nanjundiah, and P Vinaychandran 2005: Simulations of the Monsoons with a Coupled Ocean-Atmospheric Model on the Param Padma. Current Science, 89, 1555-1562.


• 19. Nanjundiah R S , V Vidyunmala∗ and J Srinivasan, 2005: On the difference in the seasonal cycle of rainfall over India in the Community Climate System Model( CCSM2) and Community Atmospheric Model(CAM2). Geophysical Res. Letters, 32, doi: 10.1029/2005GL024278.


• 18. Gadgil S, M Rajeevan and R S Nanjundiah, 2005: Monsoon Prediction -Why yet another failure? Current Science, 88, 1389-1400.


• 17. Chakraborty A ∗, S K Satheesh, R S Nanjundiah and J. Srinivasan, 2004: Impact of Absorbing Aerosols on the Simulation of Climate inthe Indian Region using an atmospheric GCM. Annales Geophysicae, 22, 1421-1434.


• 16. Shanker A P ∗, and R S Nanjundiah , 2004: Morlet Wavelet Analysis in Space and Time: Study of Poleward Propagations of Intertropical Convergence Zones. Geophysical Research Letters, 31, doi:10.1029/2003GL018150


• 15. Chakraborty A ∗, R S Nanjundiah and J Srinivasan, 2002: Role of Asian and African Orography on Indian Summer Monsoon. Geophysical Research Letters, 29, doi: 10.1029/2002GL015522.


• 14. Gadgil S, J Srinivasan, R S Nanjundiah , K Krishna Kumar, A A Munot, and K. Rupa Kumar, 2002: On Forecasting the Indian Summer Monsoon :the Intriguing Season of 2002. Current Science, 83, 394-403.


• 13. Rajendran K ∗ , R S Nanjundiah and J Srinivasan, 2002: The Impact of Surface Hydrology on the Simulation of Tropical Intraseasonal Oscillation in NCAR (CCM2) Atmospheric GCM. Journal of Meteorological Society of Japan, 80, 1357-1381


• 12. Bhat G S, A Chakraborty ∗, R S Nanjundiah and J Srinivasan, 2002: Vertical Thermal Structure of the Atmosphere over North Bay of Bengal: Observation and Model Results. Current Science, 83, 296-302


• 11. Srinivasan, J and R S Nanjundiah, 2002: The Evolution of Indian Summer monsoon in 1997 and 1983. Meteorology and Atmospheric Physics, 79, 243-257


• 10. Rajendran K ∗, R S Nanjundiah, and J Srinivasan, 2002: Comparison of Seasonal and Intraseasonal Variation of Tropical Climate in NCAR CCM2 GCM With Two Different Cumulus schemes. Meteorology & Atmospheric Physics 79, 57-86.


• 9. Murthy A S V, and R S Nanjundiah, 2000: Splitting Errors in Explicit and Implicit Methods. Monthly Weather Review, 128, 3921-3926.


• 8. Nanjundiah R S, 2000: Impact of Moisture Transport on the Simulated Tropical Rainfall in a General Circulation Model. Climate Dynamics, 16, 303-317.


• 7. Nanjundiah R S, 2000: Seasonal Simulation of the Monsoon with the NCMRWF Model. Current Science, 78, 869-875.


• 6. Sinha, U N, R S Nanjundiah , and T N Venkatesh, 1999: Computational Weather Modelling. Current Science, 77, 1333-1342.


• 5. Jagadheesha D ∗, R S Nanjundiah and R Ramesh, 1999: Orbital Forcingof Monsoonal Climates in NCAR CCM2 with Two Horizontal Resolutions. Paleoclimatology, 3, 279-301.


• 4. Nanjundiah R S and J Srinivasan, 1999: Anomalies of Precipitable Water-Vapor and Vertical Stability During El-Nino. Geophysical Research Letters, 26, 95-98.


• 3. Nanjundiah R S, and U N Sinha 1999: Impact of Modern Software Engineering Practices on the Capabilities of an Atmospheric General Circulation Model. Current Science, 76, 1114-1116.


• 2. Sinha U N and R S Nanjundiah , 1998: Usability of Parallel Processing Computers in Numerical Weather Prediciton. Current Science, 74, 1045- 1048.


• 1. Nanjundiah R S , J Srinivasan and S Gadgil, 1992: Intraseasonal Variation of the Indian Summer Monsoon. II : Theoritical Aspects. J of Japanese Meteorological Society, 70, 529-550. (Special issue on Asian Monsoons).






Books Edited



• 1. Randall DA, J Srinivasani, bf R S Nanjundiah and P Mukhopadhyay 2019: Current Trends in the Representation of Physical Processes in Weather and Climate Models, Springer Atmospheric Sciences Book Series





Book Chapters




• 1. Chowdhary JS, SP Xi and R S Najundiah, 2021 :Chapter 1 - Drivers of the Indian summer monsoon climate variability, In Indian Summer Monsoon Variability. Editors : Chowdary, Parekh C and Gnanaseelan, https://doi.org/10.1016/B978-0-12-822402-1.00020-X.


• 2. D K Jain, Chakraborty A., Nanjundiah R.S. 2019: Convective Available Potential Energy and Precipitation in a Cloud-Resolving Model Simulation of Indian Summer Monsoon. In: Randall D., Srinivasan J., Nanjundiah R., Mukhopadhyay P. (eds) Current Trends in the Representation of Physical Processes in Weather and Climate Models. Springer Atmospheric Sciences. Springer, Singapore. https://doi.org/10.1007/978-981-13-3396-5


• 3. Rajeevan M and R S Nanjundiah, 2009: Coupled Model Simulations of Twentieth Century Climate of the Indian Summer Monsoon. In Current Trends in Science, Platinum Jubilee Special Publication of Indian Academy of Sciences, pages 537-561 Ed: A Bhattacharyya, S R Shetye and V K Gaur.


• 4. Vinaychandran P N and R S Nanjundiah, 2007: Association between Indonesian Rainfall and the Indian Ocean dipole in Understanding and Forecasting of Monsoons. P N Vinaychandran (Ed). Centre for Science and Technology of the Non- Aligned and Other Developing Countries (NAM S & T Centre), New Delhi.


• 5. Nanjundiah R S, J Srinivasan and S Gadgil,1992: Effect of Cumulus Parameterization on Modelling the Intraseasonal Variation of Tropical Convergence Zones. In “Physical Proceses in Atmospheric Models”. Ed:D R Sikka and S S Singh. Pp: 480-491. Wiley Eastern Limited New Delhi.







Conferences




• 1. V Saicharan∗, M Saha, P Mitra and R S Nanjundiah, 2019: Deep Learning Based LSTM and SeqToSeq Models to Detect Monsoon Spells of India. In: Proceeding of International Conference on Computational Intelligence (ICCS), 2019.


• 2. Nanjundiah R S, 2019: Modelling the Atmosphere of Earth and Its Neighbours. National Space Science Symposium, SPPU, Pune, 30 Jan 2019.


• 3. Nanjundiah R S, N Karmakar and A Chakraborty, 2018: Trends in Intraseasonal Variability of the Indian Summer Monsoon. In Tropmet 2018, BHU, Varanasi, 25 October 2018.


• 4. Thomas L∗ , B Kumar, S Jayakumar, N Suresh, A S Rao and R S Nanjundiah :Improved I/O in DNS code for Cloud Dynamics on 2D processor topology. 24th IEEE Conference on High Performance Computing, Data and Analytics (HiPC 2017), 18-21 December 2017, Jaipur, India


• 5. Nanjundiah R S and A S Rao: HPC for Earth Sciences: An Overview. In User Workshop, HiPC 2017, 18-21 December 2017, Jaipur, India. (Invited Talk