Journal Publications

59. L. Saini, S. Das, N. Murukesh, Vertical evolution of precipitation and associated atmospheric parameters at Ny-Ålesund (78°55’ N, 11°56’ E) in the Arctic, Atmospheric Research, -, 108531, 2025, https://doi.org/10.1016/j.atmosres.2025.108531

58. V. Tyagi and S. Das, A Probabilistic Algorithm for Mitigating Persistent Ground Clutter in Doppler Weather Radar, JGR-Atmospheres, 130, e2025JD043478, 2025, https://doi.org/10.1029/2025JD043478

57. S. Chakraborty, S. K. Mondal, B. Shukla, and S. Das, Nowcasting of Rain with Doppler Weather RADAR – A Comparative Strategy for Complex Orography, Journal of Earth System Science, 134, 190, 2025, https://doi.org/10.1007/s12040-025-02649-4

56. V. Tyagi, S. Das, S. K. Das and B. P. Shukla, Synergistic Use of EOS-06 Scatterometer and Doppler Weather Radar Observations for Coastal Wind Field Assessment: A Case Study, Indian Society of Remote Sensing, 53, 2949–2964, 2025, https://doi.org/10.1007/s12524-025-02257-1

55. V. Tyagi, S. Das, S. K. Das and B. P. Shukla, On Double Monsoon Onset and Its Predictive Signature, Meteorology and Atmospheric Physics, 137, 18, 2025, https://doi.org/10.1007/s00703-025-01064-0

54. L. Saini, S. Das and N. Murukesh, Case Studies of Different Types of Precipitation at Ny- ̊Alesund, Arctic, Scientific Report, 15, 3086, 2025, https://doi.org/10.1038/s41598-025-85833-2, 3.8

53. T. Sharma, M. Mawatwal and S. Das, A Machine Learning Approach for Detecting Rapid Intensification in Tropical Cyclones, Indian Society of Remote Sensing, 53, 1965-1978, 2025,https://doi.org/10.1007/s12524-024-02101-y, 2.2

52. S. Chakraborty, B. Raychaudhuri, T. P. Das, S. Das and M. Roy, Detection of lunar water, hydroxyl ion and their diurnal changes from CHACE-2 orbiter observation, Icarus, 426, 116365, 2024, https://doi.org/10.1016/j.icarus.2024.116365, 2.5

51. S. Datta, S. Das and S. Sunda, Secondary Gravity Wave Propagation in Tropical Thermospheric Region: Role of Varying Kinematic Viscosity, Journal of Geophysical Research - Space Physics, 129, e2023JA032364, 2024, https://doi.org/10.1029/2023JA032364, 2.6

50. R. Hemapriya and S. Das, Comparative Analysis of Various Machine Learning Models for Solar Wind Propagation Delay Estimation, Solar Physics, 299, 95, 2024, https://doi.org/10.1007/s11207-024-02339-2, 2.8

49. M. Mawatwal and S. Das, An End-to-End Deep Learning Framework for Cyclone Intensity Estimation in North Indian Ocean Region using Satellite Imagery, Journal of the Indian Society of Remote Sensing, 52, 2165–2175, 2024, https://doi.org/10.1007/s12524-024-01929-8, 2.5

48. N. Singh, V. Tyagi, S. Das, U. K. Sahoo and S. S. Kundu, Python Indian Weather Radar Toolkit (pyiwr): An Open-Source Python Library For Analyzing and Visualizing Weather Radar Data, Journal of Computational Science., 81, 102363, 2024, https://doi.org/10.1016/j.jocs.2024.102363, 3.3

47. J. Mandal, C. Chatterjee and S. Das, An explainable machine learning technique to forecast lightning density over North-Eastern India, Journal of Atmospheric and Solar-Terrestrial Physics, 259, 106255, 2024, https://doi.org/10.1016/j.jastp.2024.106255, 1.9

46. N. Singh, S. Das, U. K. Sahoo, S. S. Kundu and S. Chakraborty, On Collisional Drop Breakup in Orographic Rain, Atmospheric Research, 300, 107232, 2024, https://doi.org/10.1016/j.atmosres.2024.107232, 5.5

45. S. Datta and S. Das, Signature of thunderstorm induced acoustic and gravity waves at low latitude Indian sector, Advances in Space Research, 73(7), 3472-3485, 2023, https://doi.org/10.1016/j.asr.2023.09.018, 2.6

44. R. Hemapriya and S. Das, Interpretable ML-Based Forecasting of CMEs Associated with Flares, Solar Physics, 298, 96, 2023, https://doi.org/10.1007/s11207-023-02187-6, 2.8

43. C. Chatterjee, J. Mandal and S. Das, A Machine Learning Approach for Prediction of Seasonal Lightning Density in Different Lightning Regions of India, International Journal of Climatology, 43(6), 2862-2878, 2023, https://doi.org/10.1002/joc.8005, 3.651

42. C. Chatterjee and S. Das, Characteristic Differences between Two Contrasting Tropical Squalls, Journal of Earth System Science, 132, 58, 2023, https://doi.org/10.1007/s12040-023-02064-7, 1.912

41. D. Ayyagari, S. Datta, S. Das, A. Datta, Ionospheric response during Tropical Cyclones-a brief review on Amphan and Nisarga, Advances in Space Research, 71(6), 2799-2817, 2023, https://doi.org/10.1016/j.asr.2022.11.026, 2.6

40. C. Chatterjee, F. Porcù, S. Das, A. Bracci, An Investigation on Super- and Sub-Terminal Drops in Two Different Rain Categories and Climate Regimes, Remote Sensing, 14(11), 2515, 2022, https://doi.org/10.3390/rs14112515, 5.349

39. S. Chakraborty, P. Verma, B. Paudel, S. Das, Modeling of Ka band Slant Path Rain Attenuation for Hilly Tropical Region, Advances in Space Research, 70(3), 601-609, 2022, https://doi.org/10.1016/j.asr.2022.05.002, 2.611

38. C. Chatterjee and S. Das, Recent changes in Indian monsoon in Light of Regionalization Based on Various Rain Features, Theoretical and Applied Climatology, 146, 1007-1018, 2021, https://doi.org/10.1007/s00704-021-03781-z, 3.409

37. R. Hemapriya and S. Das, CNN-Based Deep Learning Model for Solar Wind Forecasting, Solar Physics, 296, 134, 2021, https://doi.org/10.1007/s11207-021-01874-6, 2.961

36. S. Chakraborty, T. K. Rana and S. Das, Tropospheric Scintillation at Ka-Band Over a Hilly Tropical Region, IEEE Antennas and Wireless Propagation Letters, 20(7), 1288 - 1291, 2021, https://doi.org/10.1109/LAWP.2021.3078164, 3.825

35. S. Chakraborty, P. Verma, B. Paudel, A. Shukla, S. Das, Validation of Synthetic Storm Technique for Rain Attenuation Prediction Over High-Rainfall Tropical Region, IEEE Geoscience and Remote Sensing Letters , 19, 01-Apr, 2022, https://doi.org/10.1109/LGRS.2021.3068334, 5.343

34. S Chakraborty, M Chakraborty, S. Das, Second Order Experimental Statistics of Rain Attenuation at Ka band in a Tropical Location, Advances in Space Research, 67(12), 4043-4053, 2021, https://doi.org/10.1016/j.asr.2021.02.033, 2.611

33. K. Chakravarty, R. Bhangale, S. Das, P. Yadav, B.A.M.Kannand, G.Pandithuraia, Unravelling the characteristics of precipitation microphysics in summer and winter monsoon over Mumbai and Chennai – the two urban-coastal cities of Indian sub-continent, Atmospheric Research, 249, 105313, 2021, https://doi.org/10.1016/j.atmosres.2020.105313, 5.965

32. S. Bandyopadhyay, S. Das and A. Datta, Comparative Study and Development of Two Contour-Based Image Segmentation Techniques for Coronal Hole Detection in Solar Images, Solar Physics, 295, 110, 2020, https://doi.org/10.1007/s11207-020-01674-4, 2.961

31. S. Das, M. Chakraborty, S. Chakraborty, A. Shukla and R. Acharya, Experimental studies of Ka Band Rain Fade Slope at a Tropical Location of India, Advances in Space Research, 66(7), 1551-1557, 2020, https://doi.org/10.1016/j.asr.2020.06.014, 2.611

30. C. Chatterjee and S. Das, On The Association Between Lightning and Precipitation Microphysics, Journal of Atmospheric and Solar-Terrestrial Physics, 207, 105350, 2020, https://doi.org/10.1016/j.jastp.2020.105350, 2.119

29. S. Chakraborty, M. Chakraborty and S. Das, Experimental studies of slant-path rain attenuation over tropical and equatorial regions-A Brief Review, IEEE Antennas and Propagation Magazine, 63(3), 52-62, 2020, https://doi.org/10.1109/MAP.2020.2976911, 3.179

28. S. Das, S. Datta and A. K. Shukla, Detection of Thunderstorm Using Indian Navigation Satellite NavIC, IEEE Transactions on Geoscience and Remote Sensing, 58 (5), 3677-3684, 2020, https://doi.org/10.1109/TGRS.2019.2960035, 8.125

27. S. Bandyopadhyay, S. Das and A. Datta, Fuzzy Energy-Based Dual Contours Model for Automated Coronal Hole Detection in SDO/AIA Solar Disk Images, Advances in Space Research, 65(10), 2435-2455, 2020, https://doi.org/10.1016/j.asr.2020.02.012, 2.611

26. D. Ayyagari, S. Chakraborty, S. Das, A. Shukla, A. Paul and A. Datta, Performance of NavIC for studying the ionosphere at an EIA region in India, Advances in Space Research, 65(6), 1544-1558, 2020, https://doi.org/10.1016/j.asr.2019.12.019, 2.611

25. S. Bandyopadhyay, S. Das and A. Datta, A Hybrid Fuzzy Filtering - Fuzzy Thresholding Technique for Region of Interest Detection in Noisy Images, Applied Intelligence, 50, 1112–1132, 2020, https://doi.org/10.1007/s10489-019-01551-z, 5.019

24. S. Das and A. R. Jameson, Site Diversity Prediction at a Tropical Location from a Single Site Rain Measurements using a Bayesian Technique, Radio Science, 23(6), 830-844, 2018, https://doi.org/10.1029/2018RS006597, 1.68

23. S. Das and C. Chatterjee, Rain characterization based on maritime and continental origin at a tropical location, Journal of Atmospheric and Solar- Terrestrial Physics, 173, 109- 118, 2018, https://doi.org/10.1016/j.jastp.2018.02.011, 2.119

22. S. Das and A. Maitra, Characterization of tropical precipitation using drop size distribution and rain rate-radar reflectivity relation, Theoretical and Applied Climatology, 132(1-2), 275-286, 2018, https://doi.org/10.1007/s00704-017-2073-1, 3.409

21. S. Das, R. Chakraborty and A. Maitra, A random forest algorithm for nowcasting of intense Precipitation events , Advances in Space Research, 60(6), 1271-1282, 2017, https://doi.org/10.1016/j.asr.2017.03.026, 2.611

20. S. Das and D. Ghosh, Dependency of rain integral parameters on specific rain drop sizes and its seasonal behaviour, Journal of Atmospheric and Solar-Terrestrial Physics, 149, 15-20, 2016, https://doi.org/10.1016/j.jastp.2016.09.003, 2.119

19. S. Das and A. Maitra, Vertical Profile of Rain: Ka band radar Observations at tropical locations, Journal of Hydrology, 534, 31-41, 2016, https://doi.org/10.1016/j.jhydrol.2015.12.053, 6.702

18. R. Chakraborty, S. Das and A. Maitra, Prediction of Convective Events using Multi- frequency Radiometric Observations at Kolkata, Atmospheric Research, 169 (Part A), 24–31, 2016, https://doi.org/10.1016/j.atmosres.2015.09.024, 5.965

17. S. Majumder, S. Das and A. Maitra, Study of tropospheric delay over Indian region from MODIS, NCEP/NCAR data and ground based water vapor measurements at Kolkata, Advances in Space Research, 56(6), 1115–1124, 2016, https://doi.org/10.1016/j.asr.2015.06.014, 2.611

16. T. Sarkar, S. Das and A. Maitra, Assessment of different raindrop size measuring techniques: Inter- comparison of Doppler radar, impact and optical disdrometer, Atmospheric Research, 160, 15-27, 2015, https://doi.org/10.1016/j.atmosres.2015.03.001, 5.965

15. T. Sarkar, S. Das and A. Maitra, Effects of melting layer on Ku-band signal depolarization, Journal of Atmospheric and Solar- Terrestrial Physics, 117, 95-100, 2014, https://doi.org/10.1016/j.jastp.2014.06.006, 2.119

14. R. Chakraborty, S. Das, S. Jana and A. Maitra, Nowcasting of rain events using multi-frequency radiometric observations, Journal of Hydrology, 513, 467–474, 2014, https://doi.org/10.1016/j.jhydrol.2014.03.066, 6.702

13. S. Das, S. Majumder, R. Chakraborty and A. Maitra, A Simplistic Approach for Water Vapor Sensing Using a Stand Alone GPS Receiver, IET Radar, Sonar & Navigation, 8(8), 845-852, 2014, https://doi.org/10.1049/iet-rsn.2013.0312, 1.596

12. S. Das, S. Chakraborty and A. Maitra, Radiometric measurements of cloud attenuation at a tropical location in India, Journal of Atmospheric and Solar- Terrestrial Physics, 105, 97-100, 2013, https://doi.org/10.1016/j.jastp.2013.09.003, 2.119

11. S. Das, A. Maitra and A. K. Shukla, Diurnal variation of Slant Path Ka- band Rain Attenuation at Four Tropical Locations in India, Indian Journal of Radio and Space Physics, 42, 34-41, 2013, http://nopr.niscpr.res.in/handle/123456789/16078, NA

10. A. K Shukla, S. Das, A P Shukla and V S Palsule, Approach for Near- Real- Time Prediction of Ionospheric Delay using Klobuchar-like Coefficients for Indian Region, IET Radar, Sonar & Navigation, 7(1), 67-74, 2012, https://doi.org/10.1049/iet-rsn.2011.0371, 1.596

9. A. Adhikari, S. Das, A. Bhattacharya and A. Maitra, Improving Rain Attenuation Estimation: Modelling of Effective Path Length Using Ku- Band Measurements at A Tropical Location, Progress in Electromagnetics Research B, 34, 173-186, 2011, https://doi.org/10.2528/PIERB11072503, NA

8. S. Das, A. Maitra and A. K. Shukla, Melting layer characteristics at different climatic conditions in the Indian region: ground based measurements and satellite observations, Atmospheric Research, 101(1-2), 78-83, 2011, https://doi.org/10.1016/j.atmosres.2011.01.013, 5.965

7. S. Das, A. Maitra and A. K. Shukla, Rain Attenuation Modeling In The 10-100 GHz Frequency Using Drop Size Distributions For Different Climatic Zones In Tropical India, Progress In Electromagnetics Research B, 25, 211-224, 2010, https://doi.org/10.2528/PIERB10072707, NA

6. A. K. Shukla, S. Das, P.V. Khekale, M R Sivaraman and K. Bandyopadhyay, Effect of Grid Size Variation on the Interpolation of Total Electron Content over Indian Region, Journal of Navigation, 57(2), 115-122, 2010, https://doi.org/10.1002/j.2161-4296.2010.tb01771.x, 2.472

5. S. Das, A. K. Shukla and A. Maitra, Investigation of vertical profile of rain microstructure at Ahmedabad in Indian tropical region, Advances in Space Research, 45(10), 1235-1243, 2010, https://doi.org/10.1016/j.asr.2010.01.001, 2.611

4. A. Maitra, S. Das and A. K. Shukla, Joint statistics of rain rate and event duration for a tropical location in India, Indian Journal of Radio and Space Physics, 38, 253-260, 2009, http://nopr.niscpr.res.in/handle/123456789/6903, NA

3. A. K. Shukla, B. Roy, S. Das, A. R. Charania, K. S. Kavaiya, K. Bandyopadhyay and K. S. Dasgupta, Micro rain cell measurements in tropical India for site diversity fade mitigation estimation, Radio Science, 45, RS10 02, 2010, https://doi.org/10.1029/2008RS004093, 1.68

2. A. K. Shukla, S. Das, N. Nagori, M. R. Sivaraman and K. Bandyopadhyay, Two-Shell Ionospheric Model for Indian Region: A Novel Approach, IEEE Transactions on Geoscience and Remote Sensing, 47(8), 240, 2009, https://doi.org/10.1109/TGRS.2009.2017520, 8.125

1. A. K Shukla, N. Nagori, S. Das, N. Jain, M. R. Sivaraman and K. Bandyopadhyay, Statistical Comparison of Various Interpolation Algorithms for Grid-Based Single Shell Ionospheric Model over Indian Region, Journal of Global Positioning Systems, 7(1), 72-79, 2008, https://www.scirp.org/journal/paperinformation?paperid=383, NA