Research
My work advances climate data science and machine learning for multi-scale agricultural impact assessments, integrating satellite observations, climate indicators, soil properties, and biodiversity metrics to support sustainable agriculture and climate-resilient food systems.
Research Areas¶
Climate Change
Machine Learning & Deep Learning
Earth Observation
Agriculture Impacts Modelling
Air Quality Modelling
Funded Projects¶
FAIRagro — FAIR (Findable, Accessible, Interoperable, Reusable) research data management system for the agrosystems research community. Funded by Deutsche Forschungsgemeinschaft. Feb 2025 – Present.
Tackling Black Carbon — Dual benefits for people and the planet by more effectively tackling black carbon. Funded by Clean Air Fund, London UK. Sep 2023 – Jan 2025.
NCAP-COALESCE — COALESCE (Carbonaceous Aerosol Emissions, Source Apportionment and Climate Impacts) project funded by MoEFCC, Govt of India. Jul 2017 - Sep 2023
Refereed Publications¶
Journal Articles¶
Halder, K., Ewert, F., Ghosh, A., Muduchuru, K., Sweet, L.-B., Elshawi, R., Timko, J., Zheng, W., Alsafadi, K., Zhao, G., et al. (2025). High-Resolution Maize Yield Mapping across Africa using Earth Observation and Machine Learning, Deep Learning, and Foundation Model. Science of Remote Sensing, 100344.
Venkataraman, C., Anand, A., Maji, S., Barman, N., Tiwari, D., Muduchuru, K., Sharma, A., Gupta, G., Bhardwaj, A., Haswani, D., et al. (2024). Drivers of PM2.5 episodes and exceedance in India: a synthesis from the COALESCE network. Journal of Geophysical Research: Atmospheres, 129(14), e2024JD040834.
Devaliya, S., Bhate, J. N., Raman, R. S., Muduchuru, K., Sharma, A., Singh, V., Kesarkar, A. P., and Venkataraman, C. (2023). Assessment of the impact of atmospheric aerosols and meteorological data assimilation on simulation of the weather over India during summer 2015. Atmospheric Environment, 297, 119586.
Sharma, A., Venkataraman, C., Muduchuru, K., Singh, V., Kesarkar, A., Ghosh, S., and Dey, S. (2023). Aerosol radiative feedback enhances particulate pollution over India: A process understanding. Atmospheric Environment, 298, 119609.
Muduchuru, K. and Venkataraman, C. (2022). Spatial heterogeneity of aerosol induced rapid adjustments on precipitation response over India: A general circulation model study with ECHAM6-HAM2. Climate Dynamics, 58(1), pp.293–304.
Venkataraman, C., Sharma, A., Tibrewal, K., Maity, S., and Muduchuru, K. (2020). Carbonaceous Aerosol Emissions Sources. The Magazine for Environmental Managers.
Patil, N., Venkataraman, C., Muduchuru, K., Ghosh, S., and Mondal, A. (2019). Disentangling sea-surface temperature and anthropogenic aerosol influences on recent trends in South Asian monsoon rainfall. Climate Dynamics, 52(3), pp.2287–2302.
Preprints & Submitted¶
Kumar Srivastava, A., Halder, K., Lopez, G., Muduchuru, K., Barbosa, L. A. P., Rahaman, K. J., Behrend, D., Han, L., Nendel, C., Zhao, G., et al. CropFusionNet: An Interpretable Deep Learning Framework for Uncertainty-Aware Crop Yield Forecasting across Germany. (preprint)
Bhattacharya, A., Muduchuru, K., Venkataraman, C., and Mondal, A. (2021). Anthropogenic aerosols induce drying trends in Indian monsoon wet and dry extremes. (submitted to Nature Climate Change)
Muduchuru, K., Venkataraman, C., et al. (2021). Sensitivity of aerosol feedback effects and chemical mechanisms on the regional scale prediction of cloud properties. (manuscript in preparation)
Conference Abstracts & Proceedings¶
Muduchuru, K., Halder, K., Anders, I., Gaiser, T., Singh, M., Ewert, F., and Srivastava, A. K. (2025). Agricultural yield declines from the rapid removal of air pollutants under carbon neutrality. Tropentag 2025, Sep 10–12, Bonn, Germany.
Halder, K., Srivastava, A. K., Muduchuru, K., Han, L., Singh, M., Gaiser, T., and Ewert, F. (2025). Transforming Low-Resolution CORINE Data into High-Resolution Landscape Maps with Semi-Supervised Deep Learning. EGU General Assembly 2025, EGU25–18335.
Muduchuru, K., Venkataraman, C., and Das, M. (2022). Aerosol-cloud-interactions (ACI) in continental warm clouds over India. AGU Fall Meeting Abstracts (Vol. 2022, pp. A22B–1667).
Devaliya, S., Bhate, J., Raman, R. S., Muduchuru, K., Sharma, A., Kesarkar, A., and Venkataraman, C. (2021). Chemistry Driven Changes in Simulated Meteorology for May 2015: WRF/WRF-Chem Studies over India. AGU Fall Meeting Abstracts (Vol. 2021, pp. A15F–1700).
Bhattacharya, A., Venkataraman, C., Maity, S., and Muduchuru, K. (2020). Analysis of Aerosol Life Cycles over Indian Region in the ECHAM6-HAM2. AGU Fall Meeting Abstracts (Vol. 2020, pp. A063–0003).
Muduchuru, K. and Venkataraman, C. (2020). Spatial heterogeneity of stratiform precipitation response to aerosol fast adjustments over India: A general circulation model study with ECHAM6-HAM2. AGU Fall Meeting Abstracts (Vol. 2020, pp. A063–0016).