Publications

Publications using IMDLIB

Panja, A., Garai, S., Maiti, S., Choudhary, B. B., Zade, S., Veldandi, A., & Sankhala, G. (2026). Exploring determinants of climate change adaptation by smallholder livestock farmers in coastal West Bengal, India using a double hurdle econometric approach. Scientific Reports, 16(1), 2946. https://doi.org/10.1038/s41598-025-32890-2

Karthikeyan, A., Karthik, V., & Chandrasekaran, S. (2026). Flowering out of sync: Climate change alters the reproductive phenology of Terminalia paniculata in the Western Ghats of India. Plants, People, Planet, 8(4), 1322-1333. https://doi.org/10.1002/ppp3.70022

Singh, M. K., Chanu, A. L., Singh, R. B., & Singh, M. S. (2026). A hybrid dynamical–stochastic model of maximum temperature time series of Imphal, Northeast India incorporating nonlinear feedback and noise diagnostics. Chaos, Solitons & Fractals, 207, 117971. https://doi.org/10.1016/j.chaos.2026.117971

Rashiq, A., Prakash, O., & Swain, S. (2026). A novel multivariate normalized compromised programming approach of ranking CMIP6 models over urban centers for assessing heatwave dynamics. Urban Climate, 65, 102743. https://doi.org/10.1016/j.uclim.2025.102743

Zewdu, D., Muralee Krishnan, C., Nikhil Raj, P. P., Makadi, Y. C., Arlikatti, S., & McAleavy, T. (2026). Assessment of cropland suitability for rice, millet, and maize cultivation using multi-criteria evaluation and geospatial techniques: a case study from Raichur, India. Earth Systems and Environment, 10(5), 5903-5927. https://doi.org/10.1007/s41748-025-00927-1

Sharma, J., Kumar, A., & Singh, O. (2026). Unraveling the historical and future changes in rainfall concentration over the Narmada River basin. Physical Geography, 47(1), 66-103. https://doi.org/10.1080/02723646.2025.2569338

Kang, L., Le, X., Zhou, L., Zhao, X., & Wei, J. (2026). PREMISE v2.1: A configuration-driven decision-support framework for multi-source precipitation product evaluation and ranking. Computers & Geosciences, 106262. https://doi.org/10.1016/j.cageo.2026.106262

Krishna, A. B., & Sandhu, S. S. (2026). Observed (1901–2020) and projected (2025–2095) changes in dry spells and rainfall extremes under irrigation-induced heterogeneity in Punjab, India. Theoretical and Applied Climatology, 157(5), 317. https://doi.org/10.1007/s00704-026-06264-1

Das, S., Pandit, K., Dwivedi, A., Pain, A., Kanungo, D. P., & Ramancharla, P. K. (2026). Understanding First‐Time Slope Failures: Insights From Bwasni Landslide in Indian Himalaya. Geological Journal. https://doi.org/10.1002/gj.70326

Anand, A., Kalyan, K. L., & Bhardwaj, A. (2026). Change Detection of Indian Himalayan Landslide Using Terrestrial Laser Scanner. Indian Geotechnical Journal, 56(7), 3443-3456. https://doi.org/10.1007/s40098-025-01351-y

Narzary, M., Dey, P., Riming, T., Handique, A., & Patnaik, S. K. (2026). GIS-based assessment of thermal dynamics and urban heat Island effects in response to land use changes in Ziro Valley, Arunachal Pradesh, India. Discover Geoscience, 4(1), 62. https://doi.org/10.1007/s44288-026-00447-z

Ghosh, S., & Prakasam, C. (2026). Integrated hydrologic and hydrodynamic modeling for flood hazard assessment in Ajay River Basin, West Bengal, India. River. https://doi.org/10.1002/rvr2.70064

Pathak, S., & Bhardwaj, C. (2026). Implementing LID Techniques for Runoff Reduction Through the Curve Number Method Considering Slope Variation in Uttarakhand. In Geospatial Technology and Advanced Instrumentation in Addressing Water Resources Planning and Management (pp. 77-98). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-92-1602-4_6

Banerjee, D., Ganguly, S., & Tsai, W. P. (2025). A novel hybrid machine learning framework for spatio-temporal analysis of reference evapotranspiration in India. Journal of Hydrology: Regional Studies, 58, 102271. https://doi.org/10.1016/j.ejrh.2025.102271

Sankaran, A., Ahmed, A. N., El-Shafie, A., Sherif, M., Antony, A. M., Anilkumar, K., … & Purath, J. T. (2025). Deciphering the teleconnections of extreme temperature indices with local scale meteorology using wavelet coherence. Physics and Chemistry of the Earth, Parts A/B/C, 140, 104009. https://doi.org/10.1016/j.pce.2025.104009

Jain, S., Chinthala, B. D., Ranhotra, P. S., Pandey, P., Shekhar, M., Grießinger, J., … & Bräuning, A. (2025). Forest-stand structure and treeline dynamics of Himalayan Fir over the last four centuries in Kashmir, western Himalaya. Dendrochronologia, 94, 126442. https://doi.org/10.1016/j.dendro.2025.126442

Venable, K. R., Johnston, J. M., & LeDuc, S. D. (2025). Streamlining land surface model Initialization: Automated data retrieval for VELMA using HMS REST API and GDAL. Environmental Modelling & Software, 191, 106492. https://doi.org/10.1016/j.envsoft.2025.106492

Murugan, M., & Santhoshkumar, B. (2025). Trend analysis of rainfall and temperature in metropolitan cities of India using Mann-Kendall test. Journal of Agrometeorology, 27(4), 534-537. https://doi.org/10.54386/jam.v27i4.3147

Bahita, T. A., Swain, S., Jha, P. K., Palmate, S. S., & Pandey, A. (2025). Numerical modelling of pollutant dispersion affecting water quality of Upper Ganga Canal (Roorkee City, India). International Journal of Environmental Science and Technology, 22(6), 4433-4444. https://doi.org/10.1007/s13762-024-06054-0

Dubey, N., Hari, V., Bastos, A., & Ghosh, S. (2025). Vegetation productivity in India is modulated by climate teleconnections from the Pacific Ocean. Journal of Geophysical Research: Biogeosciences, 130(9), e2024JG008682. https://doi.org/10.1029/2024JG008682

Kumre, S. K., Swain, S., Amrit, K., Mishra, S. K., & Pandey, A. (2025). Linking curve number with environmental flows: a novel approach. Environmental Science and Pollution Research, 32(16), 10314-10327. https://doi.org/10.1007/s11356-024-35303-5

Tsela, R., Maladaki, S., & Kolios, S. (2025). An integrated, automated and modular approach for real-time weather monitoring of surface meteorological variables and short-range forecasting using machine learning. Environmental Modelling & Software, 183, 106203. https://doi.org/10.1016/j.envsoft.2024.106203

Sarda, R., & Kumar, P. (2025). Monitoring the dual-season hydrological dynamics of the Pong reservoir in Himachal Pradesh, India. Frontiers in Remote Sensing, 6, 1682140. https://doi.org/10.3389/frsen.2025.1682140

Krishna, A. B., Kaur, S., Sandhu, S. S., & Kaur, H. (2025). Multi-decadal annual and seasonal temperature variability from 1951 to 2095 over Indian Punjab—A non-parametric statistical approach. Bulletin of Atmospheric Science and Technology, 6(1), 26. https://doi.org/10.1007/s42865-025-00113-1

Zewdu, D., Krishnan, C. M., Raj, P. P., Barati, M. K., Makadi, Y. C., Arlikatti, S., … & McAleavy, T. (2025). Assessment of Livelihood Vulnerability to Climate Change: A Multidimensional Case Study from Dongarampur Region, India. Earth Systems and Environment, 1-35. https://doi.org/10.1007/s41748-025-00766-0

Islam, S., Thanveer, J., Yunus, A.P. Beetan, Y., Umrikar, B., Arya, D. S., & Siva Subramanian, S. (2025). Impact of antecedent rainfall and soil saturation on widespread debris flows in the northern Western Ghats during the 2021 extreme rainfall. Bulletin of Engineering Geology and the Environment 84, 360. https://doi.org/10.1007/s10064-025-04383-z

Ghosh, A., Chakraborty, P. (2025). Mapping Landslide Potential and Assessing Susceptibility in the Darjiling Himalaya Using GIS and Bivariate Statistics. The Himalaya Dilemma. https://doi.org/10.1007/978-3-031-95083-4_11

Manivasagam, V. S., Kanagaraj, V. R., Marimuthu, N., Shaanjai, K. S., & Manalil, S. (2025). Exploring the Dynamics of Extreme Rainfall in the Cauvery River Basin, Southern India: Spatio-Temporal Insights and Adaptive Strategies. Natural Hazards Research. https://doi.org/10.1016/j.nhres.2025.03.004

Krishna, A. B., Kaur, S., & Sandhu, S. S. (2025). Evaluating the robustness of IMD gridded data of temperature and rainfall with/without statistical bias correction techniques. Arabian Journal of Geosciences, 18(9), 159. https://doi.org/10.1007/s12517-025-12303-4

Dilama Shamsudeen, S., Sankaran, A., Sajith, A., Stanzin, T., Dev, D., & Abdul Samad, M. S. (2025). A Non-Stationary Framework for Landslide Hazard Assessment Under the Extreme Rainfall Condition. Earth Systems and Environment, 9(1), 337-355. https://doi.org/10.1007/s41748-024-00445-6

Sailaja, B., Gayatri, S., Rathod, S. et al. (2024). Spatial temperature prediction—a machine learning and GIS perspective. Theoretical and Applied Climatology, 155, 9619–9642. https://doi.org/10.1007/s00704-024-05167-3

Kulkarni, S., & Agarwal, A. (2024). Quantifying the association between Arctic Sea ice extent and Indian precipitation. International Journal of Climatology, 44(2), 470-484. https://doi.org/10.1002/joc.8337

Sharma, I., Swain, S., Mishra, S. K., & Pandey, A. (2024). Investigating climate and land use change impacts on design flood estimation over Indian tropical catchments. Tropical Ecology, 65(3), 483-507. https://doi.org/10.1007/s42965-024-00323-2

Srinidhi, A., Smolenaars, W., Werners, S. E., Hegde, S., Rajapure, G., Meuwissen, M. P., & Ludwig, F. (2024). Critical climate-stress moments for semi-arid farming systems in India. Regional Environmental Change, 24(3), 122. https://doi.org/10.1007/s10113-024-02281-w

Mekonnen, E. N., Fetene, A., & Gebremariam, E. (2024). Grid-based climate variability analysis of Addis Ababa, Ethiopia. Heliyon, 10(6). https://doi.org/10.1016/j.heliyon.2024.e27116

Kundu, M., Zafor, A., & Maiti, R. (2024). Assessing the nature of potential groundwater zones through machine learning (ML) algorithm in tropical plateau region, West Bengal, India. Acta Geophysica, 72(1), 433-448. https://doi.org/10.1007/s11600-023-01042-3

Dhal, L., & Kansal, M. L. (2024). An ecohydrological approach to assess water provisioning and supporting ecosystem services in the Budhabalanga River Basin, India. Environmental Monitoring and Assessment, 196(8), 688. https://doi.org/10.1007/s10661-024-12844-3

Neog, D. R., Singha, G., Dev, S., & Prince, E. H. (2024). Artificial intelligence and its application in disaster risk reduction in the agriculture sector. Disaster risk reduction and rural resilience: with a focus on agriculture, water, gender and Technology. https://doi.org/10.1007/978-981-97-6671-0_15

Mohanty, P. K., Pradhan, S., & Samal, R. N. (2024). Vegetation dynamics and its response to climate change at Bhitarkanika mangrove forest, Odisha, east coast of India. Vegetation Dynamics and Crop Stress, (pp. 149-164). Academic Press. https://doi.org/10.1016/B978-0-323-95616-1.00008-0

Arya, V., & Rao, M. S. (2024). Groundwater recharge potential index and artificial groundwater recharge in the alluvial soils of the middle Ganga basin. Discover Applied Sciences, 6(7), 367. https://doi.org/10.1007/s42452-024-05851-z

Gupta, A., Sawant, C. P., Kumar, M., Singh, R. K., & Rao, K. V. R. (2024). Assessment of rainfall erosivity for Bundelkhand region of central India using long-term rainfall data. Mausam, 75(2), 415-432. https://doi.org/10.54302/mausam.v75i2.3893

Swain, S., Mishra, P.K., Nandi, S., Pradhan, B., Sahoo, S., & Al-Ansari, A. (2024). A simplistic approach for monitoring meteorological drought over arid regions: a case study of Rajasthan, India. Applied Water Science, 14, 36. https://doi.org/10.1007/s13201-023-02085-z

Jaiswal, S., Balietti, A., & Schäffer, D. (2023). Environmental Protection and Labor Market Composition. University of Heidelberg, Department of Economics https://doi.org/10.11588/heidok.00033831

Pandey, H.K., Singh, V.K., Singh, R.P. et al. (2023). Soil Loss Estimation Using RUSLE in Hard Rock Terrain: a Case Study of Bundelkhand, India. Water Conserv Sci Eng 8, 55. https://doi.org/10.1007/s41101-023-00229-5

Vage, S., Gupta, T., Roy, S. (2023). Impact Analysis of Climate Change on Floods in an Indian Region Using Machine Learning. In: ICANN 2023, 14261. https://doi.org/10.1007/978-3-031-44198-1_31

Garg, N., Negi, S., Nagar, R., Rao, S., & KR, S. (2023). Multivariate multi-step LSTM model for flood runoff prediction: a case study on the Godavari River Basin in India. Journal of Water and Climate Change, https://doi.org/10.2166/wcc.2023.374

Bora, S., & Hazarika, A. (2023). Rainfall time series forecasting using ARIMA model. In 2023 ATCON-1, (pp. 1-5). IEEE, https://doi.org/10.1109/ICAIA57370.2023.10169493

Panja, A., Garai, S., Zade, S., Veldandi, A., Sahani, S., & Maiti, S. (2023). Climate Data Extraction for Social Science Research: A Step by Step Process. Social Science Dimensions of Climate Resilient Agriculture, ISBN: 978-81-964762-1-2.

Chakra, S., Ganguly, A., Oza, H., Padhya, V., Pandey, A., & Deshpande, R. D. (2023). Multidecadal summer monsoon rainfall trend reversals in South Peninsular India: a new approach to examining long-term rainfall dataset. Journal of Hydrology, https://doi.org/10.1016/j.jhydrol.2023.129975.

Sardar, P., and Samadder, S. R. (2023). Long-term ecological vulnerability assessment of indian sundarban region under present and future climatic conditions under CMIP6 model. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2023.102140

Roy, P. K., Ghosh, A., Basak, S. K., Mohinuddin, S., & Roy M. B. (2023). Analysing the Role of AHP Model to Identify Flood Hazard Zonation in a Coastal Island, India. Journal of the Indian Society of Remote Sensing Article, 1-15. https://doi.org/10.1007/s12524-023-01697-x

Venkatesh, S., Kirubakaran, T., Ayaz, R. M., Umar, S. M., & Parimalarenganayaki, S. (2023). Non-parametric Approaches to Identify Rainfall Pattern in Semi-Arid Regions: Ranipet, Vellore, and Tirupathur Districts, Tamil Nadu, India. In River Dynamics and Flood Hazards (pp. 507-525). Springer, Singapore. https://doi.org/10.1007/978-981-19-7100-6_28

Swain, S., Mishra, S. K., Pandey, A., & Dayal, D. (2022). Assessment of drought trends and variabilities over the agriculture-dominated Marathwada Region, India. Environmental Monitoring and Assessment, 194(12), 1-18. https://doi.org/10.1007/s10661-022-10532-8

Swain, S., Mishra, S. K., Pandey, A., Dayal, D., & Srivastava, P. K. (2022). Appraisal of historical trends in maximum and minimum temperature using multiple non-parametric techniques over the agriculture-dominated Narmada Basin, India. Environmental Monitoring and Assessment, 194(12), 1-23. https://doi.org/10.1007/s10661-022-10534-6