| 1 |
Raaj, S., Gupta, V., Singh, V., & Shukla, D. P. (2023). A novel framework for peak fow estimation in the himalayan river basin by integrating SWAT model with machine learning based approach. Earth Science Informatics, , . https://doi.org/10.1007/s12145-023-01163-9 |
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| 2 |
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, 106824. https://doi.org/10.1016/j.atmosres.2023.106824 |
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| 3 |
Budillon, A., Narayan, A. B., Singh, H., Varade, D., Bhattacharjee, S., Jain, K., Awasthi, S., & Gupta, V. (2022). Analyzing urbanization induced groundwater stress and land deformation using time-series Sentinel-1 datasets applying PSInSAR approach. Science of The Total Environment, 844, 157-103. https://doi.org/10.1016/j.scitotenv.2022.157103 |
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| 4 |
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, 106067. https://doi.org/10.1016/j.catena.2022.106067 |
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| 5 |
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 |
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| 6 |
Pham, Q. B., Sankaran, A., Rahman, K. U., Bawoke, G. T., Golian, S., Ruigar, H., Linh, N. T., & Gupta, V. (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 |
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| 7 |
Singh, V. P., Jain, M. K., & Gupta, V. (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), . https://doi.org/10.1061/(ASCE)HE.1943-5584.0002042 |
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| 8 |
Singh, V., Jain, M. K., & Gupta, V. (2020). Assessment of precipitation extremes in India during the 21st century under SSP1-1.9 mitigation scenarios of CMIP6 GCMs. Journal of Hydrology, 590, 125-422. https://doi.org/10.1016/j.jhydrol.2020.125422 |
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| 9 |
Dong, X., Nam, V. T., Anh, D. T., Joshi, Y., Malik, A., Gambini, J. M., Kuriqi, A., Pham, Q. B., Linh, N. T., & Gupta, V. (2020). Seasonality shift and streamflow flow variability trends in central India. Acta Geophysica, 68, 1461-1475. https://doi.org/10.1007/s11600-020-00475-4 |
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| 10 |
Gupta, V., & Jain, M. K. (2020). Unravelling the teleconnections between ENSO and dry/wet conditions over India using nonlinear Granger causality. Atmospheric Research, 247, 105168. https://doi.org/10.1016/j.atmosres.2020.105168 |
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| 11 |
Choden, Y., Adhikari, K., & Gupta, V. (2020). Performance evaluation of satellite precipitation estimation with ground monitoring stations over southern Himalayas in Bhutan. Acta Geophysica, 68, 933-943. https://doi.org/10.1007/s11600-020-00434-z |
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| 12 |
Gupta, V., Jain, M. K., & 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 |
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| 13 |
Jain, M. K., & Gupta, V. (2019). Multivariate Probabilistic Dependence Analysis of Projected Future Drought Characteristic over India. AGU Fall Meeting Abstracts 2019, 2019, H21K-1901. https://ui.adsabs.harvard.edu/abs/2019AGUFM.H21K1901G |
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| 14 |
Tri, D. Q., Vo, N. D., Costache, R., Usman, A. G., Malik, A., Pham, Q. B., Linh, N. T., & Gupta, V. (2019). Potential of hybrid data-intelligence algorithms for multi-station modelling of rainfall. Water Resources Management, 33, 5067–5087. https://doi.org/10.1007/s11269-019-02408-3 |
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| 15 |
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, 3667–3688. https://doi.org/10.1002/joc.6419 |
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| 16 |
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, 611-635. https://doi.org/10.1007/s11069-019-03762-6 |
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| 17 |
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 |
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| 18 |
Mohammadi, M., Asghari, S., Teymouri, M., Zeinali, B., & Gupta, V. (2019). A study of frost occurrence and minimum temperatures in Iran. Journal of Earth System Science, , . https://doi.org/10.1007/s12040-019-1152-3 |
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| 19 |
Jain, M. K., & Gupta, V. (2018). Investigation of multi-model spatiotemporal mesoscale drought projections over India under climate change scenario. Journal of Hydrology, 567, 489-509. https://doi.org/10.1016/j.jhydrol.2018.10.012 |
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| 20 |
Goyal, M., & Gupta, V. (2014). Identification of homogeneous rainfall regimes in Northeast Region of India using fuzzy cluster analysis. Water Resources Management, 28, 4491–4511. https://doi.org/10.1007/s11269-014-0699-7 |
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