Peer-reviewed Journal articles:
15. A. Sharma and S. R. Kannan, (2023), A methodology to upscale IMD ground radar observations at the same resolution with TRMM PR reflectivity using ANN, Remote Sensing Applications: Society and Environment, Vol. 30, 100940.
14. P. Mishra, S. R. Kannan, and C. Radhakrishnan, (2022), The Effect of Anthropogenic Heat and Moisture on Local Weather at Industrial Heat Islands: A Numerical Experiment, Atmosphere, Vol. 13 (2), 357.
13. P. Mishra and S. R. Kannan, (2022), A numerical experiment to study the impact of temperature enhancement by anthropogenic heating on local weather at the Angul region of India, Journal of Earth System Science, Vol. 131, 1, 1-16.
12. A. Anand and S. R. Kannan, (2022), Rain/no-rain classification from combined radar- Radiometer data using machine learning, Remote Sensing Applications: Society and Environment, Vol. 25, https://doi.org/10.1016/j.rsase.2021.100682
11. H. Dahire, S. R.Kannan, and S. K. Saw, (2021), Effect of humidity on the performance of rooftop solar chimney, Thermal Science & Engineering Progress, Vol. 27, https://doi.org/10.1016/j.tsep.2021.101026
10. A. Sharma and S. R. Kannan (2021), Intercomparison between IMD ground radar and TRMM PR observations using alignment methodology and artificial neural network, Journal of Earth System Science, 130, article no 20.
9. S. R. Kannan and S. S. Katte, (2018), Numerical
Investigation and Correlations for Heat Diffusion through Planar Ablative
Thermal Protection Systems, Thermal Science & Engineering Progress, 7,
279-287.
8.
D. Subramani, R. Chandrasekar, K. Srinivasa Ramanujam
and C. Balaji (2014), A new ensemble based data assimilation algorithm to improve
track prediction of tropical cyclones, Natural Hazards, 71, 659-682.
7. C. Balaji and K. Srinivasa Ramanujam (2013), Retrieval
of the vertical rainfall structure from the MADRAS imager data of the Megha-
Tropiques satellite, Current Science, 104, 12, 1627-1634.
6.
C. Praveen, K. Srinivasa Ramanujam and C. Balaji (2012), An Artificial Neural
Network Based Fast Radiative Transfer Model for Simulating Infrared Sounder
Radiances, Journal of Earth System Science, 121, 4, 891-901.
5.
K. Srinivasa Ramanujam, R. Chandrasekar, D. Subramani
and C. Balaji (2012) On the Effect of
Non-Raining Parameters in Retrieval of Surface Rain Rate Using TRMM PR And TMI
Measurements, IEEE Journal of Selected Topics in Applied Earth Observations and
Remote Sensing, 5, 3, 735-743.
4.
K. SrinivasaRamanujam, R. Chandrasekar and C. Balaji (2011) A new PCA-ANN algorithm for
retrieval of rainfall structure in precipitating atmosphere, International
Journal of Numerical Methods for Heat and Fluid Flow, 21, 8, 1002-1025.
3.
K. SrinivasaRamanujam and C. Balaji (2011) Radiative
Transfer Simulations for the MADRAS Imager of Megha-Tropiques, Journal of Earth
System Science, 120, 1-18.
2. S. Abishek, K. SrinivasaRamanujam and S. S. Katte (2007) View Factors between Disc/Rectangle and
Rectangle in Parallel and Perpendicular Planes, Journal of Thermophysics and Heat Transfer, 21, 236-239.
1. K. Srinivasa Ramanujam, S. Abishek,
and S. S. Katte (2006) Differential View Factor for a Rectangle with
Intervening Parallelepiped or Sphere, Journal
of Thermophysics and Heat Transfer, 20, 604-607.
35. S R Kannan (2023), A study on precipitation characteristics of Kal Baishakhi: a premonsoon thunderstorm event, Copernicus Meetings, EGU23-16746.
34. A Sharma and S R Kannan, (2023), An Iteration-Based Methodology to Cross Compare Volume Matched Indian Ground Radar Reflectivity Observations Against Space Radar, 2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS), Hyderabad, 1-3.
33. P Mishra and S R Kannan, (2023), Sensitivity of Temperature Perturbation to Precipitation: A Parametric Study, 2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS), Hyderabad, 1-4.
32. P Mishra and S R Kannan, (2022), Study of rainfall pattern near industrial region by using an ordinate pattern-based approach, AGU Fall Meeting 2022, Chicago, H34E-03.
31. P Mishra and S R Kannan, (2022), Atmospheric convection caused by temperature dispersion in and around the industrial source and its effect on precipitation rate: Gaussian approach, AGU Fall Meeting 2022, Chicago, A31D-06.
30. A. Sharma and S. R. Kannan, (2022), A Neural Network based Methodology to Retrieve 3D Rainfall from Microwave Imager using Space Radar and Ground Radar observations, AGU Fall Meeting 2022, Chicago, H34H-01.
29. A. Sharma and S. R. Kannan, (2022), An Alignment-based Methodology to cross-compare Indian Ground Radar Observations with Space Radar, AGU Fall Meeting 2022, Chicago, A31A-02.
28. A. Sharma and S. R. Kannan, (2022), A Regression and Neural Network-Based Methodology to Improve Vertical Resolution of Matched Indian Ground Radar Reflectivity Observations, IGARSS 2022, Kuala Lumpur.
27. D. Pati, P.P.Singh, and S.R.Kannan, 2022, A simulation-based study on the effect of automobile air conditioning systems on overall performance and fuel consumption rate of vehicles, 7th National and 1st International Conference on Refrigeration and Air Conditioning (NCRAC 2022), IIT Guwahati.
26. P.P.Singh, D.Pati, and S.R.Kannan, 2022, A comparison of three different solvers for simulating refrigeration system performance, 7th National and 1st International Conference on Refrigeration and Air Conditioning (NCRAC 2022), IIT Guwahati.
25. S. R. Kannan, D. Mishra, S. K. Panda, and B. P. Shukla, 2022, Comparison of TERLS Radar Observations with GPM DPR during recent 2018 Flood in Kerala, iRAD 2022, January 10-11, IIT Bhubaneswar.
24. D Mishra, M.V.Supraja, G. Komali, and S R Kannan, 2022, A Methodology to Retrieve Rainfall from Multi-Channel INSAT Imager With Ground Radar Using Neural Networks, iRAD 2022, January 10-11, IIT Bhubaneswar.
23. A Sharma and S R Kannan, 2022, Adding the Radar Reflectivity in linear scale or logarithmic scale? An answer from the Alignment framework, iRAD 2022, January 10-11, IIT Bhubaneswar.
22. S Singhai, C.M.Ganesh, and S R Kannan, 2022, Effect of data imbalance in ANN-based rain screening algorithm using GPM observations, iRAD 2022, January 10-11, IIT Bhubaneswar.
21. H Dahire and S R Kannan, 2021, Radiative Transfer Analysis of Rooftop Solar Chimney by treating Moist air as Participating Media, ISHMT 2021, December 17-21, IIT Madras.
20. H Dahire and S R Kannan, 2021, Effect of Moisture on Convection Heat Transfer through Rooftop Solar Chimney, ISHMT 2021, December 17-21, IIT Madras.
19. P Mishra and S R Kannan, 2021, A Numerical Experiment to study the Effect of Anthropogenic Heat and Moisture on Local Weather, InGARSS 2021, December 6-10, Ahmedabad.
18. A Anand and S R Kannan, 2021, Rain Screening Algorithm from Combined Radar - Radiometer Observations using Machine Learning, INTROMET 2021, November 23-26, CUSAT.
17. D Mishra and S R Kannan, 2021, Comparison of ISRO's Ground-based Doppler Weather Radar Reflectivity with GPM Observations, INTROMET 2021, November 23-26, CUSAT.
16. A Sharma and S R Kannan, 2021, Upscaling IMD Ground Radar Vertical Reflectivity using TRMM PR Observations and Artificial Neural Network, Precipitation Observations, IGARSS 2021, July 12-16, Brussels.
15. A Sharma and S.R.Kannan, 2020, A Methodology
to Retrieve 3D Rainfall from MADRAS Imager With Spaceborne Radar And Ground
Radar in Alignment framework Using Neural Networks, iRAD 2020, IIT Madras.
14.
P.J.Reddy and S.R.Kannan,
2019, A numerical study on the change in rainfall pattern due to anthropogenic
effect, iRAD 2019, IITM Pune.
13.
S.R.Kannan,
2019, Ordinal Pattern dependence of GPM DPR daily rainfall time series over
Tier 1 Indian cities, iRAD 2019, IITM Pune.
12.
S. R. Kannan (2018), Neural network based methodology
to estimate surface rainfall rate using ground and space borne radar
observations, iRAD 2018, NARL Gadanki, Tirupathi.
11. P. Mishra and S. R. Kannan (2018), Microphysical study
of induced rainfall over industrial region using space-borne radar and NWP
model, iRAD 2018, NARL Gadanki, Tirupathi.
10.
K Srinivasa Ramanujam and V Chandrasekar (2016), Information
theoretic approach using neural network for determining radiometer observations
from radar and vice versa, SPIE Asia Pacific Remote Sensing, New Delhi.
9.
V. Chandrasekar, K. Srinivasa Ramanujam, Haonan Chen,
Minda Le and Amin Alqudah (2014), Rainfall estimation from spaceborne and
ground based radars using neural networks, IEEE International Geoscience and
Remote Sensing Symposium, IGARSS 2014, Quebec, Canada.
8.
V. Chandrasekar, K. Srinivasa Ramanujam and Minda Le
(2013), Methodology to simulate GPM radar observations from combined radiometer
and radar measurements from TRMM and cloud models, IEEE International
Geoscience and Remote Sensing Symposium, Melbourne, Australia.
7.
R. Chandrasekar, D. Subramani, K. Srinivasa Ramanujam
and C. Balaji (2012) Study of the impact of combined TMI-PR retrieved rainy
observations in regional weather forecast models in an ensemble Bayesian framework,
International Conference on Ensemble Methods in Geophysical Sciences” November
12 to 16 , Toulouse, France.
6. K.
Srinivasa Ramanujam, D. Subramani and C. Balaji (2012) Profile Correction
Algorithm using TRMM PR and TMI measurements in a Bayesian framework,
Opportunities and Challenges in Monsoon Prediction in a Changing Climate,
OCHAMP, Indian Institute of Tropical Meteorology, Pune.
5. C.
Balaji and K. Srinivasa Ramanujam (2011) Retrieval of rainfall from MADRAS
Microwave Imager on Megha Tropiques, IEEE International Geoscience and Remote
Sensing Symposium, Vancouver, Canada.
4. K.
Srinivasa Ramanujam and C. Balaji (2010), A Fast Polarized Microwave Radiative
Transfer Model for a Raining Atmosphere, International Heat Transfer Conference
(IHTC-14), Washington DC, USA.
3. C.
Balaji, M. Chaturvedi, K. Srinivasa Ramanujam, V. Chandrasekar, C. Nguyen and
M. Martinez (2010) What Is The Information Content Of TRMM Precipitation Radar
For Determining Radiometer Observations And Vice Versa?, IEEE International
Geoscience and Remote Sensing Symposium, Hawaii, USA.
2. K.
Srinivasa Ramanujam and C. Balaji (2009) A New Rain Screening Algorithm Based
on Non-Dimensional Microwave Brightness Temperatures, International Conference
on MEGHA-TROPIQUES Science and Applications, ISRO, Bangalore, 66-67.
1. C.
Balaji, K. Srinivasa Ramanujam, S. P. Venkateshan, R. M. Gairola, A. Sarkar and
V. K. Agarwal (2009) A Neural Network based Fast Forward Model for the
Simulation of Microwave Brightness Temperatures, International Conference on
MEGHA-TROPIQUES Science and Applications, ISRO, Bangalore, 64-65.