Publications

Refer Google Scholar Page for complete list of publications.

2023

Baniya, R., Talchabhadel, R., Panthi, J., Ghimire, G. R., Sharma, S., Dhwoj Khadka, P., ... & Maskey, R. K., 2023. Nepal Himalaya Offers Considerable Potential for Pumped Storage Hydropower. Sustainable Energy Technologies and Assessments, https://doi.org/10.1016/j.seta.2023.103423. [Link]
Kreibich, H., …, S. Sharma et al., 2023. Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts. Earth System Science Data, 15, 2009–2023, https://doi.org/10.5194/essd-15-2009-2023, 2023. [Link]
Talchabhadel, R., S. Maskey, M. R. Gouli, K. Dahal, A. Thapa, S. Sharma, A. M. Dixit, and S. kumar, 2023. Multimodal multiscale characterization of cascading hazard on mountain terrain. Geomatics, Natural Hazards and Risk, https://doi.org/10.1080/19475705.2022.2162443. [Link]
Yang, M., M. Peng, D. Wu, H. Feng, Y. Wang, Y. Lv, F. Sun, S. Sharma, Y. Che, K. Yang, 2023. Greenhouse gas emissions from wastewater treatment plants in China: Historical emissions and future mitigation potentials. Resources, Conservation and Recycling, https://doi.org/10.1016/j.resconrec.2022.106794. [Link]
Zhang, C., F. Sun, S. Sharma, P. Zeng, A. Mejia, Y. Lyu, J. Gao, R. Zhou, Y. Che, 2023. Projecting multi-attribute flood regime changes for the Yangtze River basin. Journal of Hydrology, https://doi.org/10.1016/j.jhydrol.2022.128846. [Link]

2017-2022

Sharma, S., B. Lee, H.S. Iman, M. Haran, and K. Keller, 2022. Neglecting model parametric uncertainty can drastically underestimate flood risks. Earth’s Future, https://doi.org/10.1029/2022EF003050. [Link]
Sharma, S., G. R. Ghimire, and R. Siddique, 2022. Machine Learning for Postprocessing Ensemble Streamflow Forecasts. Journal of Hydroinformatics, https://doi.org/10.2166/hydro.2022.114. [Link]
Cooper C.M., S. Sharma, R. E. Nicholas, and K. Keller, 2022. Towards more actionable flood-risk information. Earth’s Future, https://doi.org/10.1029/2022EF003093. [Link]
Srikrishnan, V., D. Lafferty, T. Wong, T, J. Lamontagne, J. Quinn, S. Sharma, N. J. Molla, J. Herman, R. Sriver, J. Morris, and B. S. Lee, 2022. Uncertainty challenges in multi-sector systems: Open challenges to risk analysis, prediction, and planning for critical infrastructure. Earth’s Future, https://doi.org/10.1029/2021EF002644. [Link]
Roth, S., B.S. Lee, S. Sharma, I. Hosseini-Shakib, K. Keller, and M. Haran, 2022. Flood hazard model calibration using multiresolution model output. Environmetrics, https://doi.org/10.1002/env.2769. [Link]
Kreibich, H., …, S. Sharma et al., 2022. The challenge of unprecedented floods and droughts in risk management. Nature (2022). https://www.nature.com/articles/s41586-022-04917-5. [Link]
Sharma, S., R. Talchabhadel, S. Nepal, G. R. Ghimire, B. Rakhal, J. Panthi, B. R. Adhikari, S. M. Pradhanang, S. Maskey, and S. Kumar, 2022. Increasing risk of cascading hazards in the Central Himalayas. Natural Hazards, https://doi.org/10.1007/s11069-022-05462-0. [Link]
Adhikari, T. R., R. Talchabhadel, S. Shrestha, S. Sharma, D. Aryal and S. M. Pradhanang, 2022. The evaluation of climate change impact on hydrologic processes of a mountain river basin. Theoretical and Applied Climatology, 150(1-2), 749-762. [Link]
Shrestha, R., B. Rakhal, T. R. Adhikari, G.R. Ghimire, R. Talchabhadel, D. Tamang, R. KC, and S. Sharma, 2022. Farmers’ Perception of Climate Change and Its Impacts on Agriculture. Hydrology, 9(12), p.212.https://doi.org/10.3390/hydrology9120212. [Link]
Sharma, S., B.S. Lee, R. Nicholas, and K. Keller, 2021. A safety factor approach to designing urban infrastructure for dynamic conditions. Earth’s Future, 9, e2021EF002118. https://doi.org/10.1029/2021EF002118. [Link]
Sharma, S., G. R. Ghimire., R. Talchabhadel, J. Panthi, B. S. Lee, F. Sun, R. Baniya, and T. R. Adhikari, 2021. Bayesian characterization of uncertainties surrounding fluvial flood hazard estimates. Taylor & Francis & IAHS, Hydrological Sciences Journal, 10.1080/02626667.2021.1999959. [Link]
Sharma, S., M. Gomez, K. Keller, R. Nicholas, and A. Mejia, 2021: Regional flood risk projections under climate change. Journal of Hydrometeorology, 22(9), pp.2259-2274, https://doi.org/10.1175/JHM-D-20-0238.1. [Link]
Sharma, S., K. Dahal, L. Nava, M. R. Gouli, R. Talchabhadel, J. Panthi, T. Roy, and G. R. Ghimire, 2021. Natural Hazards Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science. Earth and Space Science, 10.1029/2021EA002114. [Link]
Panthi, J., R. Talchabhadel, G. R. Ghimire, S. Sharma, P. Dahal, R. Baniya, T. Boving, S.M. Pradhanang, and B. Parajuli, 2021: Hydrologic Regionalization under Data Scarcity: Implications for Streamflow Prediction. American Society of Civil Engineers (ASCE), Journal of Hydrologic Engineering. 26 (9): 05021022. https://doi.org/10.1061/(ASCE)he.1943-5584.0002121. [Link]
Rakhal, B., S. Sharma, G. R. Ghimire, T. R. Adhikari, and R. Shrestha, 2021: Nepal’s communities brace for multihazard risks. AGU Eos, 102, https://doi.org/10.1029/2021EO159039. [Link]
Talchabhadel, R., G. R. Ghimire, S. Sharma, P. Dahal, J. Panthi, R. Baniya, J. Pudashine, B. R. Thapa, S. PC, and B. Parajuli, 2021. Weather Radar in Nepal: Opportunities and Challenges in a Mountainous Region. Royal Meteorological Society, RMetS, Weather, no. wea.3994 (June). https://doi.org/10.1002/wea.3994. [Link]
Zarekarizi, M., J. Roop-Eckart, S. Sharma, and K. Keller, 2021: The FLOod Probability Interpolation Tool (FLOPIT): A Simple Tool to Improve Spatial Flood Probability Quantification and Communication. Water 2021, 13(5), 666. [Link]
Talchabhadel, R., J., Panthi, S. Sharma, G. R. Ghimire, R. Baniya, P. Dahal, M. B. Baniya, S. KC, B. Jha, S. Kaini, and K. Dahal, 2021: Insights on the Impacts of Hydroclimatic Extremes and Anthropogenic Activities on Sediment Yield of a River Basin. Earth, 2, 32–50. [Link]
Rakhal, B., T. Adhikari, S. Sharma and G. Ghimire, 2021: Assessment of channel shifting of Karnali Megafan in Nepal using Remote Sensing and GIS. Annals of GIS, 27 (2): 177–88. https://doi.org/10.1080/19475683.2021.1871950. [Link]
Fengyun, S., A. Mejia, S. Sharma, P. Zeng, and Y. Che, 2020: Evaluating the credibility of downscaling: Integrating scale, trend, extreme, and climate event into a diagnostic framework. Journal of Applied Meteorology and Climatology, American Meteorological Society, 59(9), 1453-1467. [Link]
Ghimire, G. R., S. Sharma, J. Panthi, R. Talchabhadel, B. Parajuli, P. Dahal, and R. Baniya, 2020: Benchmarking Real-Time Streamflow Forecast Skill in the Himalayan Region. Forecasting, https://www.mdpi.com/2571-9394/2/3/13/htm. [Link]
Ghimire, G., D. Bruce, and S. Sharma, 2020: Site-specific sediment deposition model for dredging planning: case study of Olmsted locks and dam. ASCE’s Journal of Waterway, Port, Coastal, and Ocean Engineering, 10.1061/(ASCE)WW.1943-5460.0000598. [Link]
Sharma, S., G. Heather, G. Jorge, and A. Mejia, 2019; Seasonal hydroclimate predictions anticipate nutrient and sediment loads using a dynamical-statistical approach. Environmental Research Letters, 14(8), 084016, https://doi.org/10.1088/1748-9326/ab2c26. [Link]
Sharma, S., R. Siddique, S. Reed, P. Ahnert, and A. Mejia, 2019; Hydrological Model Diversity Enhances Streamflow Forecast Skill at Short- to Medium-Range Timescales. Water Resources Research (Vol. 55, Issue 2, pp. 1510–1530). https://doi.org/10.1029/2018wr023197. [Link]
Gomez, M., S. Sharma, S. Reed, and A. Mejia, 2018: Skill of ensemble flood inundation forecasts at short-to medium-range timescales. Journal of Hydrology, 568, 207-220, https://doi.org/10.1016/j.jhydrol.2018.10.063. [Link]
Wilkerson, G., S. Sharma, and D. Sapkota, 2018: Length for Uniform Flow Development in a Rough Laboratory Flume. Journal of Hydraulic Engineering 145, no. 1. [Link]
Sharma, S., Siddique, S. Reed, P. Ahnert, P. Mendoza, and A. Mejia, 2018: Relative effects of statistical preprocessing and postprocessing on a regional hydrological ensemble prediction system. Hydrology and Earth System Sciences, 22, 1831-1849. [Link]
Sharma, S., Siddique, N. Balderas, J. D. Fuentes, S. Reed, P. Ahnert, R. Shedd, B. Astifan, R. Cabrera, A. Laing, M. Klein, and A. Mejia, 2017: Eastern U.S. Verification of Ensemble Precipitation Forecasts. Weather and Forecasting, 32, 117-139. [Link]
Yang, X., S. Sharma, R. Siddique, S. Greybush, and A. Mejia, 2017: Post-processing of GEFS Precipitation Ensembles over the U.S. Middle-Atlantic Region. Monthly Weather Review, 16 0251.1, https://doi.org/10.1175/MWR-D-16-0251.1. [Link]