Vivek Gupta

Sharma, V., Barbhuiya, S., & Gupta, V. (2026). Projections of Future Streamflow for India Informed by CMIP6 Global Climate Models. Hydrological Processes, 40(3), e70476. https://doi.org/10.1002/hyp.70476

Barbhuiya, S., Pathania, A., Bilal, S. B., & Gupta, V. (2026). Evolving climate extremes and regional risk in India under future scenarios: a district-level assessment of precipitation and temperature extremes (2015–2100). Acta Geophysica, 74(4), 210. https://doi.org/10.1007/s11600-026-01925-1

Awasthi, S., Jose, A., Barbhuiya, S., Taloor, A. K., Varade, D., Rai, A. K., Gupta, V., Sharma, M., & Shukla, D. P. (2026). Hydro-meteorological and infrastructural damage analysis of the 2025 Ramban cloudburst event in the North-Western Himalayan region of Jammu and Kashmir, India. International Journal of Disaster Risk Reduction, 138, 106126. https://doi.org/10.1016/j.ijdrr.2026.106126

Bilal, S. B., & Gupta, V. (2026). A novel multi-link approach to drought propagation analysis using modified dynamic time warping. Journal of Hydrology, 675, 135604. https://doi.org/10.1016/j.jhydrol.2026.135604

Pathania, A., Raaj, S., Krishan, G., Lapworth, D., Brauns, B., MacDonald, A., Gupta, V., & MacAllister, D. J. (2026). Analysing flood resilience in the anthropocene: Integrated insights from a multi-scalar extreme event in the himalayas. Science of The Total Environment, 1013, 181289. https://doi.org/10.1016/j.scitotenv.2025.181289

Pathania, A., & Gupta, V. (2026). Transfer Learning for Transformer‐Based Drought Forecasting Across Diverse Precipitation Products in India. Journal of Geophysical Research: Machine Learning and Computation, 3(2), e2025JH001216. https://doi.org/10.1029/2025jh001216

Sharma, S., Barbhuiya, S., Das, S., Gupta, V., & Uday, K. V. (2026). Dynamic modelling of landslide susceptibility in response to hydro-meteorological variability in the Himalayas. Scientific Reports, 16(1), 19885. https://doi.org/10.1038/s41598-026-43919-5

Sharma, S., Gangwar, M., Shekhar, S., & Gupta, V. (2026). Time-Dependent Reliability of Coastal Bridges under Service Loads and Climate Change–Accelerated Corrosion. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 12(2), 04026013. https://doi.org/10.1061/ajrua6.rueng-1805

Bilal, S. B., & Gupta, V. (2026). Causal Inferences on Drought Propagation Dynamics Using Extended Convergent Cross Mapping. Journal of Hydrologic Engineering, 31(5), 04026037. https://doi.org/10.1061/jhyeff.heeng-6595

Das, S., Jain, M. K., Das, S., Gupta, V., Saha, A., & Dobre, M. (2026). Two Decades of Climate and Land Use Change Reshape Water Erosion Patterns Across India. European Journal of Soil Science, 77(3), e70366. https://doi.org/10.1111/ejss.70366

Madolli, M. J., Gade, S. A., Tangdamrongsub, N., Debnath, S., Gupta, V., Datta, A., & Himanshu, S. K. (2026). Non-stationarity and temporal dependence of seasonal and extreme rainfall in Thailand and their linkages with ENSO and IOD. Theoretical and Applied Climatology, 157(6), 378. https://doi.org/10.1007/s00704-026-06315-7

Barbhuiya, S., & Gupta, V. (2025). From Gauged to Ungauged: Large-Scale Deep Learning Rainfall-Runoff Modelling for Reliable Streamflow Estimation in India’s Diverse Basins. Environmental Modelling & Software, 106696. https://doi.org/10.22541/au.173801002.25089607/v2

Singh, H., Varade, D., & Gupta, V. (2025). Intensified occurrences of snow droughts are related to the snow cover dynamics in the Hindu Kush Himalayas. Scientific Reports, 15(1), 36101. https://doi.org/10.1038/s41598-025-21257-2

Pathania, A., & Gupta, V. (2025). Interpretable transformer model for national scale drought forecasting: Attention-driven insights across India. Environmental Modelling & Software, 187, 106394. https://doi.org/10.1016/j.envsoft.2025.106394

Madolli, M. J., Gade, S. A., Gupta, V., Chakraborty, A., Cha-um, S., Datta, A., & Himanshu, S. K. (2025). A systematic review on rainfall patterns of Thailand: Insights into variability and its relationship with ENSO and IOD. Earth-Science Reviews, 264, 105102. https://doi.org/10.1016/j.earscirev.2025.105102

Madolli, M. J., Haikel, S. H. M., Gupta, V., Tangdamrongsub, N., Datta, A., & Himanshu, S. K. (2025). Spatio-temporal Variability of Rainfall and Temperature and their Association with ENSO and IOD over Different Meteorological Regions of Thailand. Water Conservation Science and Engineering, 10(2), 92. https://doi.org/10.1007/s41101-025-00414-8

Dubey, A., Swami, D., Gupta, V., & Joshi, N. (2025). Entropy theory-based performance appraisal of CMIP6 climate models in regional drought simulation over the Indus River basin: a multifactorial investigation. Natural Hazards, 121(19), 23239–23280. https://doi.org/10.1007/s11069-025-07684-4

Kumar, S. C., Manikanta, V., Jain, M. K., & Gupta, V. (2025). Deciphering the intra annual dynamics of evolving compound flood-drought interaction in Indian hydrology: insights from a copula-based approach. Theoretical and Applied Climatology, 156(4), 199. https://doi.org/10.1007/s00704-025-05427-w

Bilal, S. B., & Gupta, V. (2025). Tracing Vegetation Resilience and Recovery Pathways to Drought Through Time Series Decomposition. Hydrological Processes, 39(7), e70208. https://doi.org/10.1002/hyp.70208

Jha, S. K., Gupta, V., Sharma, P. J., Mishra, A., & Joshi, S. (2025). Deep learning super-resolution for temperature data downscaling: a comprehensive study using residual networks. Frontiers in Climate, 7, 1572428. https://doi.org/10.3389/fclim.2025.1572428

Kumar, S., Chauhan, C., Chauhan, T., Gupta, V., & Uday, K. V. (2025). Integrated image processing and machine learning framework for precise quantification and prediction of soil erosion. The Visual Computer, 41(11), 8181–8193. https://doi.org/10.1007/s00371-025-03863-3

Bilal, S. B., & Gupta, V. (2024). Deciphering the spatial fingerprint of drought propagation through precipitation, vegetation and groundwater. International Journal of Climatology, 44(12), 4443–4461. https://doi.org/10.1002/joc.8590

Gupta, A., Jain, M. K., Pandey, R. P., Gupta, V., & Saha, A. (2024). Evaluation of global precipitation products for meteorological drought assessment with respect to IMD station datasets over India. Atmospheric Research, 297(1), 107104. https://doi.org/10.1016/j.atmosres.2023.107104

Das, S., Jain, M. K., & Gupta, V. (2024). An assessment of anticipated future changes in water erosion dynamics under climate and land use change scenarios in South Asia. Journal of Hydrology, 637(1), 131341. https://doi.org/10.1016/j.jhydrol.2024.131341

Raaj, S., Gupta, V., Singh, V., & Shukla, D. P. (2024). A novel framework for peak flow estimation in the himalayan river basin by integrating SWAT model with machine learning based approach. Earth Science Informatics, 17(1), 211–226. https://doi.org/10.1007/s12145-023-01163-9

Gupta, V., Syed, B., Pathania, A., Raaj, S., Nanda, A., Awasthi, S., & Shukla, D. P. (2024). Hydrometeorological analysis of July-2023 floods in Himachal Pradesh, India. Natural Hazards, 120(8), 7549–7574. https://doi.org/10.1007/s11069-024-06520-5

Das, S., Jain, M. K., Gupta, V., McGehee, R. P., Yin, S., Mello, C. R. D., Azari, M., Borrelli, P., & Panagos, P. (2024). GloRESatE: A dataset for global rainfall erosivity derived from multi-source data. Scientific Data, 11(1), 926. https://doi.org/10.1038/s41597-024-03756-5

Pham, Q. B., Mohammadi, B., Moazenzadeh, R., Heddam, S., Zolá, R. P., Sankaran, A., Gupta, V., Elkhrachy, I., Khedher, K. M., & Anh, D. T. (2023). Prediction of lake water-level fluctuations using adaptive neuro-fuzzy inference system hybridized with metaheuristic optimization algorithms. Applied Water Science, 13(1), 13. https://doi.org/10.1007/s13201-022-01815-z

Dubey, A., Swami, D., Gupta, V., & Joshi, N. (2023). From the peaks to the plains: Investigating the role of elevation in governing drought dynamics over the Indus river basin. Atmospheric Research, 291(1), 106824. https://doi.org/10.1016/j.atmosres.2023.106824

Das, S., Jain, M. K., & Gupta, V. (2022). A step towards mapping rainfall erosivity for India using high-resolution GPM satellite rainfall products. Catena, 212(1), 106067. https://doi.org/10.1016/j.catena.2022.106067

Awasthi, S., Jain, K., Bhattacharjee, S., Gupta, V., Varade, D., Singh, H., Narayan, A. B., & Budillon, A. (2022). Analyzing urbanization induced groundwater stress and land deformation using time-series Sentinel-1 datasets applying PSInSAR approach. Science of The Total Environment, 844(1), 157103. https://doi.org/10.1016/j.scitotenv.2022.157103

Singh, R. K., Jain, M. K., & Gupta, V. (2022). Impact of climate change on runoff regime of the Godavari River in India. Sustainable Water Resources Management, 8(3), 69. https://doi.org/10.1007/s40899-021-00558-0

Linh, N. T. T., Ruigar, H., Golian, S., Bawoke, G. T., Gupta, V., Rahman, K. U., Sankaran, A., & Pham, Q. B. (2021). Flood prediction based on climatic signals using wavelet neural network. Acta Geophysica, 69(4), 1413–1426. https://doi.org/10.1007/s11600-021-00620-7

Adhikari, K., Choden, Y., Cheki, T., Gurung, L., Denka, T., & Gupta, V. (2020). Performance evaluation of satellite precipitation estimation with ground monitoring stations over southern Himalayas in Bhutan. Acta Geophysica, 68(3), 933–943. https://doi.org/10.1007/s11600-020-00434-z

Gupta, V., Singh, V., & Jain, M. K. (2020). Assessment of precipitation extremes in India during the 21st century under SSP1-1.9 mitigation scenarios of CMIP6 GCMs. Journal of Hydrology, 590(1), 125422. https://doi.org/10.1016/j.jhydrol.2020.125422

Kuriqi, A., Ali, R., Pham, Q. B., Montenegro Gambini, J., Gupta, V., Malik, A., Linh, N. T. T., Joshi, Y., Anh, D. T., Nam, V. T., & Dong, X. (2020). Seasonality shift and streamflow flow variability trends in central India. Acta Geophysica, 68(5), 1461–1475. https://doi.org/10.1007/s11600-020-00475-4

Gupta, V., Jain, M. K., & Singh, V. P. (2020). Closure to “Multivariate Modeling of Projected Drought Frequency and Hazard over India” by Vivek Gupta, Manoj Kumar Jain, and Vijay P. Singh. Journal of Hydrologic Engineering, 26(2), 07020025. https://doi.org/10.1061/(asce)he.1943-5584.0002042

Gupta, V., & Jain, M. K. (2020). Unravelling the teleconnections between ENSO and dry/wet conditions over India using nonlinear Granger causality. Atmospheric Research, 247(1), 105168. https://doi.org/10.1016/j.atmosres.2020.105168

Gupta, V., Kumar Jain, M., & Singh, V. P. (2020). Multivariate Modeling of Projected Drought Frequency and Hazard over India. Journal of Hydrologic Engineering, 25(4), 04020003. https://doi.org/10.1061/(asce)he.1943-5584.0001893

Pham, Q. B., Abba, S. I., Usman, A. G., Linh, N. T. T., Gupta, V., Malik, A., Costache, R., Vo, N. D., & Tri, D. Q. (2019). Potential of Hybrid Data-Intelligence Algorithms for Multi-Station Modelling of Rainfall. Water Resources Management, 33(1), 5067–5087. https://doi.org/10.1007/s11269-019-02408-3

Zeinali, B., Teymouri, M., Asghari, S., Mohammadi, M., & Gupta, V. (2019). A study of frost occurrence and minimum temperatures in Iran. Journal of Earth System Science, 128(5), 134. https://doi.org/10.1007/s12040-019-1152-3

Gupta, V., & Jain, M. K. (2019). Impact of ENSO, Global Warming, and Land Surface Elevation on Extreme Precipitation in India. Journal of Hydrologic Engineering, 25(1), 05019032. https://doi.org/10.1061/(asce)he.1943-5584.0001872

Gupta, V., Jain, M. K., Singh, P. K., & Singh, V. (2019). An assessment of global satellite‐based precipitation datasets in capturing precipitation extremes: A comparison with observed precipitation dataset in India. International Journal of Climatology, 40(8), 3667–3688. https://doi.org/10.1002/joc.6419

Singh, G. R., Jain, M. K., & Gupta, V. (2019). Spatiotemporal assessment of drought hazard, vulnerability and risk in the Krishna River basin, India. Natural Hazards, 99(2), 611–635. https://doi.org/10.1007/s11069-019-03762-6

Gupta, V., & Jain, M. K. (2019). Multivariate Probabilistic Dependence Analysis of Projected Future Drought Characteristic over India. AGU Fall Meeting Abstracts 2019, 2019(1), H21K–1901. https://ui.adsabs.harvard.edu/abs/2019AGUFM.H21K1901G

Gupta, V., & Jain, M. K. (2018). Investigation of multi-model spatiotemporal mesoscale drought projections over India under climate change scenario. Journal of Hydrology, 567(1), 489–509. https://doi.org/10.1016/j.jhydrol.2018.10.012

Goyal, M. K., & Gupta, V. (2014). Identification of Homogeneous Rainfall Regimes in Northeast Region of India using Fuzzy Cluster Analysis. Water Resources Management, 28(1), 4491–4511. https://doi.org/10.1007/s11269-014-0699-7

Gupta, V., Jha, S. K., Sharma, P. J., Mishra, A., & Joshi, S. (2026). Uncertainty Quantification in Generative Climate Downscaling: A Multi-Ensemble DDPM Analysis. In EGU26. https://doi.org/10.5194/egusphere-egu26-13665

Bilal, S. B., & Gupta, V. (2026). Role of Water Balance Components in Regulating Vegetation Response to Drought. In EGU26. https://doi.org/10.5194/egusphere-egu26-18248

Raaj, S., Gupta, V., & Singh, V. (2026). Integrated Assessment of Climate Change Impacts on Hydropower Generation, Energy Demand, and GHG Emissions in the Beas River Basin. In EGU26. https://doi.org/10.5194/egusphere-egu26-1008

Pathania, A., & Gupta, V. (2026). Hydrological Memory in the Himalayan Compound Floods: A Hydromet-to-Hydraulics Framework for Adaptive Flood Risk Management. In EGU26. https://doi.org/10.5194/egusphere-egu26-19550

Sharma, V., Barbhuiya, S., & Gupta, V. (2026). Differentiable, Learnable MILC: Balancing Predictive Skill and Physical Interpretability. In EGU26. https://doi.org/10.5194/egusphere-egu26-16119

Shukla, Y., Gupta, V., & Himanshu, S. K. (2026). Apple Flowering Response to Climate Variability along the Himalayan Elevation Gradient. In EGU26. https://doi.org/10.5194/egusphere-egu26-17076

MacAllister, D. J., Brauns, B., Lapworth, D., MacDonald, A., Krishan, G., & Gupta, V. (2025). Flood mechanisms and groundwater recharge following 2023 monsoon floods. In International Groundwater Conference 2025.

Krishan, G., MacAllister, D. J., Brauns, B., Lapworth, D., Gupta, V., MacDonald, A., ... (2025). Changes in hydro-geochemistry due to the floods: a case study of Southwest Punjab, India. In The 10th International Conference on Water Resources and Environment.

Raaj, S., Gupta, V., & Singh, V. (2025). Assessing the multivariant effect on floods using the coupled SWAT-Copula model. In EGU General Assembly Conference Abstracts, EGU25-18625. https://doi.org/10.5194/egusphere-egu25-18625

Singh, A., Barbhuiya, S., Sharma, P. J., Gupta, V., & Sharma, A. (2025). Are Coincidental Compound Extremes Escalating across the Himalayan Region under Climate Change? In AGU25.

Pathania, A., & Gupta, V. (2025). Deciphering Flash Droughts in India: Trends, Dynamics, and Prediction Insights. In EGU General Assembly Conference Abstracts, EGU25-13154. https://doi.org/10.5194/egusphere-egu25-13154

Sharma, S., Barbhuiya, S., Gupta, V., & Das, S. (2025). Comparative Analysis of Satellite and Gauge-Based Precipitation Data for Landslide Risk Assessment in Himalayas. In European Geophysical Union 2025. https://doi.org/10.5194/egusphere-egu25-19794

Jha, S. K., & Gupta, V. (2025). Downscaling MODIS ET using deep learning. In EGU General Assembly 2025,. https://meetingorganizer.copernicus.org/EGU25/EGU25-18599.html?pdf

Sharma, V., Barbhuiya, S., & Gupta, V. (2025). Modeling Streamflow Extremes Across Indian River Basins Using Conceptual Hydrological Models and Multi-GCM Climate Projections. In AGU25.

Bilal, S. B., & Gupta, V. (2025). The Influence of Climate Change on Vegetation Response Patterns During Drought and Recovery. In EGU General Assembly Conference Abstracts, EGU25-11450. https://doi.org/10.5194/egusphere-egu25-11450

Bilal, S. B., & Gupta, V. (2024). Sensitivity analysis of agricultural and hydrological droughts to rainfall deficits across India. In European Geosciences Union General Assembly 2024 (EGU24), 19140. https://doi.org/10.5194/egusphere-egu24-19140

Barbhuiya, S., Bilal, S. B., Pathania, A., & Gupta, V. (2024). Analysing precipitation extremes in South Asia Using Expert Team on Climate Change Detection and Indices (ETCCDI) Indices. In AGU Fall Meeting Abstracts 2024, H05-06.

Raaj, S., Gupta, V., & Singh, V. (2024). Analyzing the compound effect of Snowmelt, Soil Moisture and Rainfall in the flash floods using Multivariate Copulas. In AGU Fall Meeting Abstracts 2024, H06-31.

Bilal, S. B., Pathania, A., Raaj, S., & Gupta, V. (2024). Analyzing the role of rain-on-snow events in flood intensification during the July-2023 Himachal Pradesh floods. In AGU Fall Meeting Abstracts 2024, H31C-06.

Pathania, A., & Gupta, V. (2024). Beyond the Extremes: Interpretable insights based on Attention framework. In European Geosciences Union General Assembly 2024 (EGU24), 14818. https://doi.org/10.5194/egusphere-egu24-14818

Jha, S., & Gupta, V. (2024). Downscaling ERA5 Daily 2 metre Temperature with U-Net: Enhancing Local Climate Predictions. In AGU Fall Meeting Abstracts 2024, GC01-143.

Raaj, S., Gupta, V., MacAllister, D. J., Brauns, B., & Krishan, G. (2024). Flood inundation mapping of downstream region in the Beas River basin: a case study of July‑2023 floods in Himachal Pradesh, India. In AGU Fall Meeting Abstracts 2024, NH01-12.

Pathania, A., & Gupta, V. (2024). INTEND: Integrating Transformers for Enhanced Drought forecasting. In AGU Fall Meeting Abstracts 2024, H06-68.

Shukla, Y., & Gupta, V. (2024). Impact of rising temperature on chill accumulation of main fruit species in Northwestern Himalayan region of India. In AGU24.

Raaj, S., Gupta, V., Singh, V., & Shukla, D. (2024). Integrating machine learning technique with SWAT model to optimize the prediction of peak flow in the Beas River basin, India. In EGU24. https://doi.org/10.5194/egusphere-egu24-15808

Bilal, S. B., & Gupta, V. (2024). Quantifying drought propagation lag with an enhanced extended Convergent Cross Mapping (CCM) approach. In AGU Fall Meeting Abstracts 2024, H06-72.

Sharma, V., Barbhuiya, S., & Gupta, V. (2024). Enhancing Soil Moisture Estimation through Machine Learning Models and Remote Sensing Data. In EGU General Assembly. https://doi.org/10.5194/egusphere-egu25-20070

Barbhuiya, S., & Gupta, V. (2024). Will Mamba Rise or Fall? A Real-World Test of Its Rainfall-Runoff Modelling in Indian Basins. In AGU Fall Meeting Abstracts 2024, H02-28.

Jha, S. K., & Gupta, V. (2024). Influence Of Elevation On Evapotranspiration In The Northern Himalayas. In Roorkee Water Conclave 2024. https://www.iitr.ac.in/rwc/docs/Program_Book_4March_24.pdf

Jha, S. K., Shukla, Y., Shukla, D. P., & Gupta, V. (2024). Time series analysis of optical and microwave data for comprehensive crop monitoring. In Roorkee Water Conclave. https://www.iitr.ac.in/rwc/docs/Program_Book_4March_24.pdf

Pathania, A., & Gupta, V. (2024). Zero-Shot Forecasting: Transforming Drought Prediction in South Asia. In AGU Fall Meeting Abstracts 2024, H23T-08.

Dubey, A. K., Swami, D., Gupta, V., & Joshi, N. (2023). Appraisal of CMIP6 model Estimates in Simulating Droughts over Indus River Basin. In AGU Fall Meeting Abstracts 2023 (2139), H43F-2139.

Gupta, A., Jain, M. K., Pandey, R. P., Gupta, V., & Saha, A. (2023). Assessment of Global Precipitation Datasets against Station Data in Capturing Meteorological Drought over India. In AGU Fall Meeting Abstracts 2023 (1347), H51S-1347.

Tiwari, N., Singh, R., Gupta, V., & Shukla, D. P. (2023). Catastrophic 2023 floods of himachal pradesh: a scientific overview of 20 years precipitation data. In AGU Fall Meeting Abstracts 2023, NH33B-07.

Raaj, S., Gupta, V., Singh, V., & Shukla, D. P. (2023). Enhancing Peak Flow Prediction in Beas River Basin, India by Integrating SWAT Model with machine Learning. In AGU Fall Meeting Abstracts 2023 (2194), H43I-2194.

Dubey, A. K., Gupta, V., Gupta, S. N., & Dev, R. (2023). Sustainable drinking water system for rural areas powered by non-conventional energy sources. In 2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) (pp. 1052–1057). https://doi.org/10.1109/cises58720.2023.10183472

Pathania, A., & Gupta, V. (2023). TRansformers with Attention for Climate Extremes (TRACE). In AGU Fall Meeting Abstracts 2023, H12A-04.

Bilal, S. B., & Gupta, V. (2023). Unraveling the Patterns: A Comprehensive Study on Drought Propagation in India. In AGU Fall Meeting Abstracts 2023, H08-11. https://doi.org/10.22541/essoar.171322591.14449386/v1

Dubey, A., Swami, D., Gupta, V., & Joshi, N. (2023). Characterization of Indian Summer Monsoon Drought and its Elevation Dependance over Indus River Basin, India. In EGU23. https://doi.org/10.5194/egusphere-egu23-521

Pathania, A., & Gupta, V. (2023). Drought forecasting using Long short-term memory neural networks and Explainable AI. In LAI 2023 (pp. 17). https://lai2023.github.io/docs

Das, S., Jain, M. K., Gupta, V., & Saha, A. (2022). Understating the Uncertainty in Global Rainfall Erosivity Estimated Using Multiple Satellite Precipitation Datasets. In AGU Fall Meeting Abstracts 2022, H42H-1390.

Choudhury, T., & Gupta, V. (2022). The effective mechanical properties of the cement mortar based on the gray-scale marker of microstructure images. In ACMFMS (pp. 1–7). https://www.researchgate.net/publication/45534643

Gupta, V. (2022). Impact of Climate Change on River Flow Characteristics in the Western Himalayas. In AGU Fall Meeting. https://ui.adsabs.harvard.edu/abs/2022AGUFM.H52I0572G

DUBEY, A., SWAMI, D., GUPTA, V., & JOSHI, N. (2022). Analysis of Drought Characteristics and Associated Parameters over Indus River Basin, India. In International Symposium on Drought and Climate Change (pp. 15–18). https://web.archive.org/web/20221228135005id_/https://pub.igf.edu.pl/files/Pdf/Arts/643.pdf?t=1671716698

Raaj, S., Mohseni, U., & Gupta, V. (2022). Application of GIS and Fuzzy logic for Evaluating Groundwater Quality based on Water Quality Index – A Case Study of Ujjain City, Madhya Pradesh, India. In IX International Groundwater Conference(IGWC-2022).

Chetan Kumar, S., Gupta, V., & Jain, M. K. (2021). Impact of Climate Change on Combined Flood and Drought events in India. In EGU (pp. EGU21–9718). https://doi.org/10.5194/egusphere-egu21-9718

Gupta, V., & Jain, M. K. (2020). Causal Teleconnection between Pacific Decadal Oscillation and Droughts over India. In EGU General Assembly Conference Abstracts (pp. 973). https://doi.org/10.5194/egusphere-egu2020-973

Gupta, V., & Jain, M. K. (2017). Spatio-temporal analysis of trends and periodicities of regional drought projections in India. In EGU general assembly conference abstracts (pp. 15327). https://ui.adsabs.harvard.edu/abs/2017EGUGA..1915327G

Gupta, V., & Jain, M. K. (2017). Comparison of SPI and SPEI indices for Drought Characterization under Climate Change Scenario in India. In NASA/ADS (pp. H11I–1317). https://ui.adsabs.harvard.edu/abs/2017AGUFM.H11I1317G

Gupta, V., & Jain, M. K. (2016). Analysis of Projected Precipitation Change in 21st Century. In Proceedings of International Conference on hydraulics, Water Resources and Coastal Engineering (Hydro2016). https://www.researchgate.net/publication/313315023

Gupta, V., & Goyal, M. K. (2014). Impact of Climate Change on Regionalization Using Fuzzy Clustering. In Proceedings of Fourth International Conference on Soft Computing for Problem Solving: SocProS 2014, Volume 2 (pp. 455–462). https://doi.org/10.1007/978-81-322-2220-0_37

Jha, S. K., Dash, M. K., & Gupta, V. (2025). Study of Internal Waves Near Eastern Coast of Andhra Pradesh. In Water and Environment, Volume 2 (ICWROEE 2024). Lecture Notes in Civil Engineering, vol. 414 (pp. 187–199). Springer, Singapore.

Barbhuiya, S., Sharma, S., Pathania, A., & Gupta, V. (2025). Assessing the impacts of climate change on hydroclimatic regimes in Beas River Basin. In Navigating the Nexus: Hydrology, Agriculture, Pollution and Climate Change.

Raaj, S., Yadav, S., Shukla, D. P., & Gupta, V. (2025). Assessment of Flood Hazard and Vulnerability Zone Using GIS and MCDM Techniques in Banda and Hamirpur District. In Lecture Notes in Civil Engineering (pp. 95–111). Springer Nature Singapore. https://doi.org/10.1007/978-981-97-7467-8_7

Bilal, S. B., & Gupta, V. (2025). Assessing Drought Propagation Trends Across Varied Agroclimatic Zones in India. In Lecture Notes in Civil Engineering (pp. 129–135). Springer Nature Singapore. https://doi.org/10.1007/978-981-97-7699-3_13

Dubey, A., Swami, D., Gupta, V., & Joshi, N. (2025). High and Dry: Elevation-Dependent Changes in Precipitation Over Indian Extent of Indus River Basin. In Lecture Notes in Civil Engineering (pp. 107–119). Springer Nature Singapore. https://doi.org/10.1007/978-981-97-9180-4_8

Shukla, Y., Shankar, V., & Gupta, V. (2025). Divulging Insights into Irrigation Scheduling of Allium cepa (Onion) Using Cocos nucifera (Coconut) Husk Mulch. In Water Science and Technology Library (pp. 99–116). https://doi.org/10.1007/978-3-031-76532-2_5

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Dubey, S. K., Jha, P. K., Gupta, P. K., Nanda, A., & Gupta, V. (2022). Exploring Linkages Among Soil–Water, Agriculture, and Climate Change—A Summary. In Soil-Water, Agriculture, and Climate Change: Exploring Linkages (pp. 367).

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