Journal Articles
Murukesh, M., & Kumar, P. (2026). Robust deep learning-based downscaling of mean and extreme precipitation over the Indian subcontinent. Environmental Research: Climate. https://doi.org/10.1088/2752-5295/ae6885 ๐ ๐๏ธ
Golla, S., Murukesh, M., & Kumar, P. (2024). Comparative Assessment of Image Super-Resolution Techniques for Spatial Downscaling of Gridded Rainfall Data. SN Computer Science, 5(3), 312. https://doi.org/10.1007/s42979-024-02653-3 ๐ ๐๏ธย
Murukesh, M., Golla, S., & Kumar, P. (2024). Downscaling and reconstruction of high-resolution gridded rainfall data over India using deep learning-based generative adversarial network. Modeling Earth Systems and Environment, 10(2), 2221โ2237. https://doi.org/10.1007/s40808-023-01899-9 ๐ ๐๏ธย
Kumar, P., Javed, A., Kolli, R. K., Sachan, D., Dinesh, A. S., Murukesh, M., Sharma, J., Giri, R. K., Pattanaik, D. R., Jha, S. K., Ramamurthy, B., & Mishra, G. (2023). National Colloquium for Advances in Weather and Climate Prediction and Climate Change Projection over South Asia: Applications in Water and Agriculture Sectors. Bulletin of the American Meteorological Society, 104(9), E1564โE1569. https://doi.org/10.1175/BAMS-D-23-0128.1 ๐
Manuscripts / Pre-prints
Murukesh, M., Kumar, P., & P. B. Sujit (2026), Skill-Equivalent Deep Learning Models Learn Physically Distinct Attribution Patterns in Precipitation Downscaling, Geophysical Research Letters. ๐๏ธ
Murukesh, M., & Kumar, P. (2026), Physically Interpretable Deep Learning Models for Precipitation Downscaling: Insights from Explainable AI over India, International Journal of Climatology (under review).
Murukesh, M., & Kumar, P. (2026), Zero-Shot Precipitation Downscaling Across Global Climate Regimes Using a Foundation-Style Deep Learning Framework, Earth and Space Science (under review). https://doi.org/10.22541/essoar.176910900.06121063/v1 ๐ ๐๏ธ
Amita Kumari, Kumar, P., & Murukesh, M. (2025), Unraveling Changes in Precipitation Extremes over India using CMIP6 Models, Pure and Applied Geophysics (under review).
Conference Papers
Murukesh, M., & Kumar, P. (2025), Comparative analysis of deep learning architectures trained for downscaling gridded precipitation across India, EGU General Assembly 2025, Vienna, Austria, 27 Aprโ2 May 2025 (oral presentation; in-person), https://doi.org/10.5194/egusphere-egu25-676
Murukesh, M., Kumar, P., & Gupta, R. P. (2024), Are deep learning methods viable for precipitation downscaling over the highly complex terrain of the Western Himalayas?, Asia Oceania Geosciences Society 21st Annual Meeting (AOGS 2024), June 23โ28, 2024, Pyeongchang, Gangwon-do, South Korea (oral presentation; in-person).ย
Murukesh, M., & Kumar, P. (2024), Downscaling and reconstruction of high-resolution precipitation fields using a deep residual neural network: An assessment over Indian subcontinent, European Geophysical Union General Assembly 2024 (EGU 2024), April 14โ19, 2024, Vienna, Austria and online (poster presentation; in-person). https://doi.org/10.5194/egusphere-egu24-2552ย
Kumar, P., & Murukesh, M. (2024), Deep learning-based super-resolution generative adversarial network for gridded precipitation downscaling across India, European Geophysical Union General Assembly 2024 (EGU 2024), April 14โ19, 2024, Vienna, Austria, and online (poster presentation). https://doi.org/10.5194/egusphere-egu24-1590
Murukesh, M. (2023), Statistical Downscaling of Gridded Precipitation across India using Super-resolution Generative Adversarial Network (SRGAN). ย 39th M.P. Young Scientist Congress (MPYSC 2024), February 21โ23, 2023, Gwalior, India. (oral presentation; in-person) https://www.mpysc.in/Abstracts_39th_MPYSC.pdf
Murukesh, M. & Kumar, P. (2023), A comprehensive intercomparison of novel deep learning techniques for super-resolution bias-correction of gridded precipitation. American Geophysical Union Annual Meeting 2023 (AGU 2023), December 11โ15, 2023, San Francisco, CA and online, (poster presentation; virtual)
Murukesh, M., & Kumar, P. (2023), Investigating the impact of custom loss functions to train a deep neural network for downscaling gridded precipitation data. International Conference of Regional ClimateโCORDEX 2023 (ICRC-CORDEX 2023), September 25โ29, 2023, IITM Pune (oral presentation; in-person). https://icrc-cordex2023.tropmet.res.in/session-a4-a5.php
Murukesh, M. & Kumar, P. (2023), Evaluating the transferability of a deep learning technique to downscale gridded precipitation data. International Climate Research Conclave (ICRC 2023), May 26โ27, 2023, IIT Bombay (poster presentation; in-person).ย
Murukesh, M., Golla, S., & Kumar, P. (2023), Downscaling gridded rainfall across India using deep learning-based generative adversarial networks. 103rd Annual Meeting of American Meteorological Society, January 8โ12, 2023, Denver, Colorado, USA (oral presentation; virtual). https://ams.confex.com/ams/103ANNUAL/meetingapp.cgi/Paper/414954ย
Murukesh, M., Golla, S., & Kumar, P. (2022), Spatial downscaling of IMD gridded rainfall using generative adversarial networks. TROPMET-2022, November 29โDecember 2, 2022, IISER Bhopal (oral presentation). https://conf.iiserb.ac.in/TROPMET/file/Abstract_book_final.pdf