Peer-Reviewed Journal Articles

[84] Zhao, B., S.-C. Kao, C. Pearson, K. D. Holman, J. L. Huntington, G. H. Allen, A. Yadav, M. Shao, and H. Gao (2024), Trends and Meteorological Drivers of Extreme Daily Reservoir Evaporation Events in the Western United States, J. Hydrol., accepted.

[83] Pflug, J. M., S. V. Kumar, B. Livneh, E. D. Gutmann, S. Gangrade, and S.-C. Kao (2024), Comparisons of Montane Snow Water Equivalent Projections: Calculating Total Snow Mass in Regions With Projection Agreement and Divergence in the Western US, J. Climate, accepted.

[82] Broman, D., S.-C. Kao, A. Fernandez, G. R. Ghimire, and N. Voisin (2024), Multi-Scale Impacts of Climate Change on Hydropower for Long-Term Water-Energy Planning in the Contiguous United States, Environ. Res. Lett., 19(9), 094057, https://doi.org/10.1088/1748-9326/ad6ceb.

[81] Rahimi, L., M. Hoque, E. Ahmadisharaf, N. Alamdari, V. Misra, A. C. Maran, S.-C. Kao, and A. AghaKouchak (2024), Future Climate Projections for South Florida: Improving Accuracy of Air Temperature and Precipitation Extremes with a Hybrid Statistical Bias Correction Technique, Earth's Future, 12(8), e2024EF004531, https://doi.org/10.1029/2024EF004531.

[80] Turner, S. W. D., G. R. Ghimire, C. H. Hansen, D. Singh, and S.-C. Kao (2024), Hydropower Capacity Factors Trending Down in the United States, Nat. Commun., 15, 5445, https://doi.org/10.1038/s41467-024-49553-x.

[79] Wang, Y., J. Mao, C. M. Brelford, D. M. Ricciuto, F. Yuan, X. Shi, D. Rastogi, M. M. Mayers, S.-C. Kao, J. M. Warren, N. A. Griffiths, X. Cheng, D. J. Weston, Y. Zhou, L. Gu, and P. E. Thornton (2024), Thermal, Water, and Land Cover Factors Led to Contrasting Urban and Rural Vegetation Resilience to Extreme Hot Months, PNAS Nexus, 3(4), 147, https://doi.org/10.1093/pnasnexus/pgae147.

[78] Jager, H. I., K. Manning, J. N. Welch, F. Corsi, A. Miara, H. S. Yoon, R. A. McManamay, S.-C. Kao, P. C. Kusnierz, and S. Gangrade (2024), Indicators of Thermal Alteration in US Waters Reveal Patterns of Climate Risk at the Energy-Water Nexus, Ecol. Indic., 159, 111755, https://doi.org/10.1016/j.ecolind.2024.111755.

[77] Shi, M., M. Keller, B. Bomfim, L. Li, C. Koven, L. M. Kueppers, R. Knox, J. Needham, S.-C. Kao, P. E. Thornton, M. M. Thornton, and L. R. Leung (2024), Hurricane Disturbance and Recovery in Puerto Rico Simulated by the Functionally Assembled Terrestrial Ecosystem Simulator (FATES), J. Adv. Model Earth Sy., 16(1), e2023MS003679, https://doi.org/10.1029/2023MS003679.

[76] Fan, M., S. Liu, D. Lu, S. Gangrade, and S.-C. Kao (2023), Explainable Machine Learning Model for Multi-Step Forecasting of Reservoir Inflow with Uncertainty Quantification, Environ. Modell. Softw., 170, 105849, https://doi.org/10.1016/j.envsoft.2023.105849.

[75] Wang, D., F. Yuan, S.-C. Kao, M. M. Thornton, D. M. Ricciuto, P. Schwartz, and P. E. Thornton (2023), An Ultra High-Resolution E3SM Land Model Simulation Framework and Its First Application to the Seward Peninsula in Alaska, J. Comput. Sci., 73, 102145, https://doi.org/10.1016/j.jocs.2023.102145.

[74] Gangrade, S., G. R. Ghimire, S.-C. Kao, M. Morales Hernández, A. A. Tavakoly, J. L. Gutenson, K. H. Sparrow, G. K. Darkwah, A. J. Kalyanapu, and M. L. Follum (2023), Unraveling the 2021 Central Tennessee Flood Event Using a Hierarchical Multi-Model Inundation Modeling Framework, J. Hydrol., 625, 130157, https://doi.org/10.1016/j.jhydrol.2023.130157.

[73] Shao, M., N. Fernando, J. Zhu, G. Zhao, S.-C. Kao, B. Zhao, E. Roberts, and H. Gao (2023), Estimating Future Surface Water Availability through an Integrated Climate-Hydrology-Management Modeling Framework at a Basin Scale under CMIP6 Scenarios, Water Resour. Res., 59(7), e2022WR034099, https://doi.org/10.1029/2022WR034099.

[72] Zhao, B., S.-C. Kao, G. Zhao, S. Gangrade, D. Rastogi, M. Ashfaq, and H. Gao (2023), Evaluating Enhanced Reservoir Evaporation Losses from CMIP6-Based Future Projections in the Contiguous United States, Earth's Future, 11(3), e2022EF002961, https://doi.org/10.1029/2022EF002961.

[71] Ghimire, G. R., C. H. Hansen, S. Gangrade, S.-C. Kao, P. E. Thornton, and D. Singh (2023), Insights from Dayflow: A Historical Streamflow Reanalysis Dataset for the Conterminous United States, Water Resour. Res., 59(2), e2022WR032312, https://doi.org/10.1029/2022WR032312.

[70] Mohammadi, S., M. T. Bensi, S.-C. Kao, S. T. DeNeale, J. Kanney, E. Yegorova, and M. L. Carr (2023), Bayesian-Motivated Probabilistic Model of Hurricane-Induced Multi-Mechanism Flood Hazards, J. Waterw. Port Costal Ocean Eng., 149(4), 04023007, https://doi.org/10.1061/JWPED5.WWENG-1921.

[69] Zhou, T., S.-C. Kao, W. Xu, S. Gangrade, and N. Voisin (2023), Impacts of Climate Change on Subannual Hydropower Generation: A Multi-Model Assessment of the United States Federal Hydropower Plants, Environ. Res. Lett., 18(3), 034009, https://doi.org/10.1088/1748-9326/acb58d.

[68] Li, X., D. Fu, J. W. Nielsen-Gammon, S. Gangrade, S.-C. Kao, P. Chang, M. Morales Hernández, N. Voisin, Z. Zhang, and H. Gao (2023), Impacts of Climate Change on Future Hurricane Induced Rainfall and Flooding in A Coastal Watershed: A Case Study on Hurricane Harvey, J. Hydrol., 616, 128774, https://doi.org/10.1016/j.jhydrol.2022.128774.

[67] Gangrade, S., D. Lu, S.-C. Kao, and S. L. Painter (2022), Machine Learning Assisted Reservoir Operation Model for Long-Term Water Management Simulation, J. Am. Water Resour. As., 58(6), 1592-1603, https://doi.org/10.1111/1752-1688.13060.

[66] Hansen, C. H., G. R. Ghimire, and S.-C. Kao (2022), Evaluation of Nominal Energy Storage at Existing Hydropower Reservoirs in the US, Water Resour. Res., 58(11), e2022WR032210, https://doi.org/10.1029/2022WR032210.

[65] Ashfaq, M., D. Rastogi, J. Kitson, M. A. Abid, and S.-C. Kao (2022), Evaluation of CMIP6 GCMs over the CONUS for Downscaling Studies, J. Geophys. Res.-Atmos., 127(21), e2022JD036659, https://doi.org/10.1029/2022JD036659.

[64] Rastogi, D., S.-C. Kao, and M. Ashfaq (2022), How May the Choice of Downscaling Techniques and Meteorological Reference Observations Affect Future Hydroclimate Projections?, Earth's Future, 10(8), e2022EF002734, https://doi.org/10.1029/2022EF002734.

[63] Pilla, R., N. A. Griffiths, L. Gu, S.-C. Kao, R. McManamay, D. M. Ricciuto, X. Shi (2022), Anthropogenically Driven Climate and Landscape Change Effects on Inland Water Carbon Dynamics: What Have We Learned and Where Are We Going?, Glob. Change Biol., 28(19), 5601-5629, https://doi.org/10.1111/gcb.16324.

[62] Mukherjee, S., A. K. Mishra, M. Ashfaq, and S.-C. Kao (2022), Relative Contribution of Anthropogenic Warming and Natural Climate Variability to Changes in Compound Drought and Heatwaves, J. Hydrol., 605, 127396, https://doi.org/10.1016/j.jhydrol.2021.127396.

[61] Li, X., C. Rankin, S. Gangrade, G. Zhao, K. Lander, N. Voisin, M. Shao, M. Morales Hernández, S.-C. Kao, and H. Gao (2021), Evaluating Precipitation, Streamflow, and Inundation Forecasting Skills During Extreme Weather Events: A Case Study for An Urban Watershed, J. Hydrol., 603, 127126, https://doi.org/10.1016/j.jhydrol.2021.127126.

[60] Troia, M. J., R. A. McManamay, S.-C. Kao, and P. O'Connor (2021), A Heuristic Tool to Assess Regional Impacts of Renewable Energy Infrastructure on Conservation Areas, Biol. Conserv., 263, 109334, https://doi.org/10.1016/j.biocon.2021.109334.

[59] Yin, J., F. T.-C. Tsai, and S.-C. Kao (2021), Accounting for Uncertainty in Complex Alluvial Aquifer Modeling by Bayesian Multi-Model Approach, J. Hydrol., 601, 126682, https://doi.org/10.1016/j.jhydrol.2021.126682.

[58] Thornton, P. E., R. Shrestha, M. M. Thornton, S.-C. Kao, Y. Wei, and B. E. Wilson (2021), Gridded Daily Weather Data for North America with Comprehensive Uncertainty Quantification: Daymet Version 4, Nature Sci. Data, 8, 190, https://doi.org/10.1038/s41597-021-00973-0.

[57] Heidari, H., M. Arabi, T. Warziniack, and S.-C. Kao (2021), Shifts in Hydroclimatology of U.S. Megaregions in Response to Climate Change, Environ. Res. Commun., 3, 065002, https://doi.org/10.1088/2515-7620/ac0617.

[56] Turner, S. W. D., K. Nelson, N. Voisin, V. Tidwell, A. Miara, A. Dyreson, S. Cohen, D. Mantena, J. Jin, P. Warnken, and S.-C. Kao (2021), A Multi-Reservoir Model for Projecting Drought Impacts on Thermoelectric Disruption Risk Across the Texas Power Grid, Energy, 231, 120892, https://doi.org/10.1016/j.energy.2021.120892.

[55] Ghanbari, M., M. Arabi, S.-C. Kao, J. Obeysekera, and W. Sweet (2021), Climate Change and Changes in Compound Coastal-Riverine Flooding Hazard Along the U.S. Coasts, Earth's Future, 9, e2021EF002055, https://doi.org/10.1029/2021EF002055.

[54] Dullo, T. T., S. Gangrade, M. Morales Hernández, M. B. Sharif, A. J. Kalyanapu, S.-C. Kao, S. K. Ghafoor, and M. Ashfaq (2021), Assessing Climate Change-Induced Flood Risk in the Conasauga River Watershed: An Application of Ensemble Hydrodynamic Inundation Modeling, Nat. Hazards Earth Syst. Sci., 21, 1739-1757, https://doi.org/10.5194/nhess-21-1739-2021.

[53] Lu, D., G. Konapala, S. L. Painter, S.-C. Kao, and S. Gangrade (2021), Streamflow Simulation in Data-Scarce Basins Using Bayesian and Physics-Informed Machine Learning Models, J. Hydrometeorol., 22(6), 1421-1438, https://doi.org/10.1175/JHM-D-20-0082.1.

[52] Morales Hernández, M., M. B. Sharif, A. J. Kalyanapu, S. K. Ghafoor, T. T. Dullo, S. Gangrade, S.-C. Kao, M. Norman, and K. J. Evans (2021), TRITON: A Multi-GPU Open Source 2D Hydrodynamic Flood Model, Environ. Modell. Softw., 141, 105034, https://doi.org/10.1016/j.envsoft.2021.105034.

[51] Dullo, T. T., S. Gangrade, M. Morales Hernández, M. B. Sharif, S.-C. Kao, A. J. Kalyanapu, S. K. Ghafoor, and K. J. Evans (2021), Simulation of Hurricane Harvey Flood Event through Coupled Hydrologic-Hydraulic Models: Challenges and Next Steps, J. Flood Risk Manag., 14, e12716, https://doi.org/10.1111/jfr3.12716.

[50] McManamay, R. A., B. KC, M. R. Allen-Dumas, S.-C. Kao, C. M. Brelsford, B. L. Ruddell, J. Sanyal, R. N. Stewart, and B. L. Bhaduri (2021), Reanalysis of Water Withdrawal for Irrigation, Electric Power, and Public Supply Sectors in the Conterminous United States, 1950 to 2016, Water Resour. Res., 57, e2020WR027751, https://doi.org/10.1029/2020WR027751.

[49] Zhao, G., H. Gao, and S.-C. Kao (2021), The Implications of Future Climate Change on the Blue Water Footprint of Hydropower in the Contiguous US, Environ. Res. Lett., 16(3), 034003, https://doi.org/10.1088/1748-9326/abd78d.

[48] Konapala, G., S.-C. Kao, and N. Addor (2020), Exploring Hydrologic Model Process Connectivity at the Continental Scale through An Information Theory Approach, Water Resour. Res., 56(10), e2020WR027340, https://doi.org/10.1029/2020WR027340.

[47] Kao, S.-C., S. T. DeNeale, E. Yegorova, J. Kanney, and M. L. Carr (2020), Variability of Precipitation Areal Reduction Factors in the Conterminous United States, J. Hydrol. X, 9, 100064, https://doi.org/10.1016/j.hydroa.2020.100064.

[46] Heidari, H., M. Arabi, T. Warziniack, and S.-C. Kao (2020), Assessing Shifts in Regional Hydroclimatic Conditions of U.S. River Basins in Response to Climate Change over the 21st Century, Earth's Future, 8(10), e2020EF001657, https://doi.org/10.1029/2020EF001657.

[45] Konapala, G., S.-C. Kao, S. L. Painter, and D. Lu (2020), Machine Learning Assisted Hybrid Models Can Improve Streamflow Simulation in Diverse Catchments across the Conterminous US, Environ. Res. Lett., 15(10), 104022, https://doi.org/10.1088/1748-9326/aba927.

[44] Shao, M., G. Zhao, S.-C. Kao, L. Cuo, C. Rankin, and H. Gao (2020), Quantifying the Effects of Urbanization on Floods in a Changing Environment to Promote Water Security - A Case Study of Two Adjacent Basins in Texas, J. Hydrol., 589, 125154, https://doi.org/10.1016/j.jhydrol.2020.125154.

[43] Morales Hernández, M., M. B. Sharif, S. Gangrade, T. T. Dullo, S.-C. Kao, A. J. Kalyanapu, S. K. Ghafoor, K. J. Evans, E. Madadi Kandjani, and B. R. Hodges (2020), High Performance Computing in Water Resources Hydrodynamics, J. Hydroinform., 22(5), 1217-1235, https://doi.org/10.2166/hydro.2020.163.

[42] Gangrade, S., S.-C. Kao, and R. A. McManamay (2020), Multi-Model Hydroclimate Projections for the Alabama-Coosa-Tallapoosa River Basin in the Southeastern United States, Nature Sci. Rep., 10, 2870, https://doi.org/10.1038/s41598-020-59806-6.

[41] Yang, Y., M. Pan, H. E. Beck, C. K. Fisher, R. E. Beighley, S.-C. Kao, Y. Hong, and E. F. Wood (2019), In Quest of Calibration Density and Consistency in Hydrologic Modeling: Distributed Parameter Calibration against Streamflow Characteristics, Water Resour. Res., 55, 7784-7803, https://doi.org/10.1029/2018WR024178.

[40] Forbes, W. L., J. Mao, D. M. Ricciuto, S.-C. Kao, X. Shi, A. A. Tavakoly, M. Jin, W. Guo, T. Zhao, Y. Wang, P. E. Thornton, and F. M. Hoffman (2019), Streamflow in the Columbia River Basin: Quantifying Changes over the Period 1951-2008 and Determining the Drivers of those Changes, Water Resour. Res., 55, 6640-6652, https://doi.org/10.1029/2018WR024256.

[39] Gangrade, S., S.-C. Kao, T. T. Dullo, A. J. Kalyanapu, and B. L. Preston (2019), Ensemble-Based Flood Vulnerability Assessment for Probable Maximum Flood in a Changing Environment, J. Hydrol., 576, 342-355, https://doi.org/10.1016/j.jhydrol.2019.06.027.

[38] Chegwidden, O. S., B. Nijssen, D. E. Rupp, J. R. Arnold, M. P. Clark, J. J. Hamman, S.-C. Kao, Y. Mao, N. Mizukami, P. Mote, M. Pan, E. Pytlak, and M. Xiao (2019), How do Modeling Decisions Affect the Spread among Hydrologic Climate Change Projections? Exploring a Large Ensemble of Simulations across a Diversity of Hydroclimates, Earth's Future, 7, 623-637, https://doi.org/10.1029/2018EF001047.

[37] Beigi, E., F. T.-C. Tsai, V. P. Singh, and S.-C. Kao (2019), Bayesian Hierarchical Model Uncertainty Quantification for Future Hydroclimate Projections in Southern Hills-Gulf Region, USA, Water, 11(2), 268, https://doi.org/10.3390/w11020268.

[36] Kao, S.-C., S. T. DeNeale, and D. B. Watson (2019), Hurricane Harvey Highlights: Need to Assess the Adequacy of Probable Maximum Precipitation Estimation Methods, J. Hydrol. Eng., 24(4), 05019005, https://doi.org/10.1061/(ASCE)HE.1943-5584.0001768.

[35] McManamay, R. A., M. J. Troia, C. R. DeRolph, A. O. Sheldon, A. Barnett, S.-C. Kao, and M. Anderson (2018), A Stream Classification System to Explore the Physical Habitat Diversity and Anthropogenic Impacts in Riverscapes of the Eastern United States, PLoS ONE, 13(6), e0198439, https://doi.org/10.1371/journal.pone.0198439.

[34] Zhao, G., H. Gao, S.-C. Kao, N. Voisin, and B. S. Naz (2018), A Modeling Framework for Evaluating the Drought Resilience of a Surface Water Supply System under Non-Stationarity, J. Hydrol., 563, 22-32, https://doi.org/10.1016/j.jhydrol.2018.05.037.

[33] Gangrade, S., S.-C. Kao, B. S. Naz, D. Rastogi, M. Ashfaq, N. Singh, and B. L. Preston (2018), Sensitivity of Probable Maximum Flood in a Changing Environment, Water Resour. Res., 54(6), 3913-3936, https://doi.org/10.1029/2017WR021987.

[32] Forbes, W., J. Mao, M. Jin, S.-C. Kao, W. Fu, X. Shi, D. M. Ricciuto, P. E. Thornton, A. Ribes, Y. Wang, S. Piao, T. Zhao, C. Schwalm, F. Hoffman, J. Fisher, A. Ito, B. Poulter, Y. Fang, H. Tian, A. Jain, and D. Hayes (2018), Contribution of Environmental Forcings to US Runoff Changes for the Period 1950-2010, Environ. Res. Lett., 13(5), https://doi.org/10.1088/1748-9326/aabb41.

[31] Naz, B. S., S.-C. Kao, M. Ashfaq, H. Gao, D. Rastogi, and S. Gangrade (2018), Effects of Climate Change on Streamflow Extremes and Implications for Reservoir Inflow in the United States, J. Hydrol., 556, 359-370, https://doi.org/10.1016/j.jhydrol.2017.11.027.

[30] Rastogi, D., S.-C. Kao, M. Ashfaq, R. Mei, E. D. Kabela, S. Gangrade, B. S. Naz, B. L. Preston, N. Singh, and V. G. Anantharaj (2017), Effects of Climate Change on Probable Maximum Precipitation: A Sensitivity Study over the Alabama-Coosa-Tallapoosa River Basin, J. Geophys. Res.-Atmos., 122, 4808-4828, https://doi.org/10.1002/2016JD026001.

[29] Zhao, G., H. Gao, B. S. Naz, S.-C. Kao, and N. Voisin (2016), Integrating a Reservoir Regulation Scheme into a Spatially Distributed Hydrological Model, Adv. Water Resour., 98, 16-31, https://doi.org/10.1016/j.advwatres.2016.10.014.

[28] Pagán, B., M. Ashfaq, D. Rastogi, D. Kendall, S.-C. Kao, B. S. Naz, R. Mei, and J. S. Pal (2016), Extreme Hydrological Changes in the Southwestern U.S. Drive Reductions in Water Supply to Southern California by Mid Century, Environ. Res. Lett., 11(9), 094026, https://doi.org/10.1088/1748-9326/11/9/094026.

[27] Ashfaq, M., D. Rastogi, R. Mei, S.-C. Kao, S. Gangrade, B. S. Naz, and D. Touma (2016), High-Resolution Ensemble Projections of Near-Term Regional Climate Over the Continental United States, J. Geophys. Res.-Atmos., 121, 9943-9963, https://doi.org/10.1002/2016JD025285.

[26] Mani, A., F. T.-C. Tsai, S.-C. Kao, B. S. Naz, M. Ashfaq, and D. Rastogi (2016), Conjunctive Management of Surface and Groundwater Resources under Projected Future Climate Change Scenarios, J. Hydrol., 540, 397-411, https://doi.org/10.1016/j.jhydrol.2016.06.021.

[25] Naz, B. S., S.-C. Kao, M. Ashfaq, D. Rastogi, R. Mei, and L. C. Bowling (2016), Regional Hydrologic Response to Climate Change in the Conterminous United States Using High-Resolution Hydroclimate Simulations, Global Planet. Change, 143, 100-117, https://doi.org/10.1016/j.gloplacha.2016.06.003.

[24] McManamay, R. A., C. Oigbokie, S.-C. Kao, and M. S. Bevelhimer (2016), Classification of US Hydropower Dams by their Modes of Operation, River Res. Appl., https://doi.org/10.1002/rra.3004.

[23] Pasha, M. F. K., D. Yeasmin, S. Saetern, M. Yang, S.-C. Kao, and B. T. Smith (2016), Uncertainty Analysis in Geospatial Merit Matrix-Based Hydropower Resource Assessment, J. Water Res. Pl., 142(4), 06016001, https://doi.org/10.1061/(ASCE)WR.1943-5452.0000654.

[22] Pasha, M. F. K., M. Yang, D. Yeasmin, S. Saetern, S.-C. Kao, and B. T. Smith (2016), Identifying High-Power-Density Stream-Reaches through Refined Geospatial Resolution in Hydropower Resource Assessment, J. Water Res. Pl., 06016001, https://doi.org/10.1061/(ASCE)WR.1943-5452.0000599.

[21] Touma, D., M. Ashfaq, M. Nayak, S.-C. Kao, and N. S. Diffenbaugh (2015), A Multi-Model and Multi-Index Evaluation of Drought Characteristics in the 21st Century, J. Hydrol., 526, 196-207, https://doi.org/10.1016/j.jhydrol.2014.12.011.

[20] Kao, S.-C., M. J. Sale, M. Ashfaq, R. Uría Martínez, D. P. Kaiser, Y. Wei, and N. S. Diffenbaugh (2015), Projecting Changes in Annual Hydropower Generation Using Regional Runoff Data: An Assessment of the United States Federal Hydropower Plants, Energy, 80, 239-250, https://doi.org/10.1016/j.energy.2014.11.066.

[19] McManamay, R. A., N. Samu, S.-C. Kao, M. S. Bevelhimer, and S. C. Hetrick (2015), A Multi-Scale Spatial Approach to Address Environmental Effects of Small Hydropower Development, Environ. Manage., 55(1), 217-243, https://doi.org/10.1007/s00267-014-0371-2.

[18] Pasha, M. F. K., D. Yeasmin, S.-C. Kao, B. Hadjerioua, Y. Wei, and B. T. Smith (2014), Stream-Reach Identification for New Run-of-River Hydropower Development through a Merit Matrix-Based Geospatial Algorithm, J. Water Res. Pl., 140(8), 04014016, https://doi.org/10.1061/(ASCE)WR.1943-5452.0000429.

[17] McManamay, R. A., M. S. Bevelhimer, and S.-C. Kao (2014), Updating the US Hydrologic Classification: An Approach to Clustering and Stratifying Ecohydrologic Data, Ecohydrology, 7(3), 903-926, https://doi.org/10.1002/eco.1410.

[16] Oubeidillah, A. A., S.-C. Kao, M. Ashfaq, B. S. Naz, and G. Tootle (2014), A Large-Scale, High-Resolution Hydrological Model Parameter Data Set for Climate Change Impact Assessment for the Conterminous US, Hydrol. Earth Syst. Sci., 18, 67-84, https://doi.org/10.5194/hess-18-67-2014.

[15] Ashfaq, M., S. Ghosh, S.-C. Kao, L. C. Bowling, P. Mote, D. Touma, S. A. Rauscher, and N. S. Diffenbaugh (2013), Near-Term Acceleration of Hydroclimatic Change in the Western U.S., J. Geophys. Res.-Atmos., 118, 10,676-10,693, https://doi.org/10.1002/jgrd.50816.

[14] Kao, S.-C., H. K. Kim, C. Liu, X. Cui, and B. L. Bhaduri (2012), Dependence-Preserving Approach to Synthesizing Household Characteristics, Transport. Res. Record, 2302, 192-200, https://doi.org/10.3141/2302-21.

[13] Cui, X., H. K. Kim, C. Liu, S.-C. Kao, and B. L. Bhaduri (2012), Simulating the Household Plug-in Hybrid Electric Vehicle Distribution and its Electric Distribution Network Impacts, Transport. Res. D-TR. E., 17, 548-554, https://doi.org/10.1016/j.trd.2012.05.011.

[12] Kao, S.-C., and N.-B. Chang (2012), Copula-Based Flood Frequency Analysis at Ungauged Basin Confluences: Nashville, Tennessee, J. Hydrol. Eng., 17(7), 790-799, https://doi.org/10.1061/(ASCE)HE.1943-5584.0000477.

[11] Ghosh, S., D. Das, S.-C. Kao, and A. R. Ganguly (2012), Lack of Uniform Trends but Increasing Spatial Variability in Observed Indian Rainfall Extremes, Nature Climate Change, 2, 86-91, https://doi.org/10.1038/nclimate1327.

[10] Kao, S.-C., and A. R. Ganguly (2011), Intensity, Duration, and Frequency of Precipitation Extremes under 21st-Century Warming Scenarios, J. Geophys. Res.-Atmos., 116, D16119, https://doi.org/10.1029/2010JD015529.

[9] Kao, S.-C., and R. S. Govindaraju (2010), Reply to Comment by T. P. Hutchinson on "Trivariate Statistical Analysis of Extreme Rainfall Events via the Plackett Family of Copulas", Water Resour. Res., 46, W04802, https://doi.org/10.1029/2009WR008774.

[8] Kao, S.-C., and R. S. Govindaraju (2010), A Copula-Based Joint Deficit Index for Droughts, J. Hydrol., 380, 121-134, https://doi.org/10.1016/j.jhydrol.2009.10.029.

[7] Kao, S.-C., T. P. Chan, R. Sultana, T. Konopka, T. Cooper, B. Partridge, and R. S. Govindaraju (2009), Hydrologic and Environmental Performance of a Subsurface Constructed Wetland at a Highway Rest Area: A Case Study, Water Qual. Expo. Health, 1, 35-48, https://doi.org/10.1007/s12403-009-0004-9.

[6] Kao, S.-C., and R. S. Govindaraju (2008), Trivariate Statistical Analysis of Extreme Rainfall Events via Plackett Family of Copulas, Water Resour. Res., 44, W02415, https://doi.org/10.1029/2007WR006261.

[5] Kao, S.-C., and A. R. Rao (2008), At-Site Based Evaluation of Rainfall Estimates for Indiana, J. Hydrol. Eng., 13(3), 184-188, https://doi.org/10.1061/(ASCE)1084-0699(2008)13:3(184).

[4] Kao, S.-C. and R. S. Govindaraju (2007), A Bivariate Frequency Analysis of Extreme Rainfall with Implications for Design, J. Geophys. Res.-Atmos., 112, D13119, https://doi.org/10.1029/2007JD008522.

[3] Kao, S.-C. and R. S. Govindaraju (2007), Probabilistic Structure of Storm Surface Runoff Considering the Dependence between Average Intensity and Storm Duration of Rainfall Events, Water Resour. Res., 43, W06410, https://doi.org/10.1029/2006WR005564.

[2] Rao, A. R. and S.-C. Kao (2007), Discussion of "Updated Precipitation Frequency Estimates for Kansas City: Comparison with TP-40 and HYDRO-35" by C. Bryan Young and Bruce M. McEnroe, J. Hydrol. Eng., 12(6), 694-699, https://doi.org/10.1061/(ASCE)1084-0699(2007)12:6(694).

[1] Lin, G.-F., L.-H. Chen, and S.-C. Kao (2005), Development of Regional Design Hyetographs, Hydrol. Process, 19, 937-946, https://doi.org/10.1002/hyp.5550.

Dataset / Software

[31] Broman, D., S.-C. Kao, N. Voisin, T. Zhou, G. R. Ghimire, and A. Fernandez (2024), CONUS-Wide HUC4 Watershed Scale Hydropower Projections Derived From 9505 Third Assessment, Pacific Northwest National Laboratory, Richland, WA, https://doi.org/10.5281/zenodo.10535565.

[30] Johnson, M. M., S.-C. Kao, and R. Uría Martínez (2024), Existing Hydropower Assets (EHA) Plant Database, 2024, HydroSource, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.21951/EHA_FY2024/2344934.

[29] Johnson, M. M., S.-C. Kao, and R. Uría Martínez (2024), Existing Hydropower Assets (EHA) Unit Database, 2024, HydroSource, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.21951/EHA_FY2024/2344935.

[28] Turner, S. W. D., G. R. Ghimire, C. H. Hansen, D. Singh, and S.-C. Kao (2024), Hydropower Capacity Factor Trends and Analytics for the United States, HydroSource, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.21951/hydro_trends/2349418.

[27] Chowdhury, S., F. Li, A. Stubbings, J. New, D. Rastogi, and S.-C. Kao (2024), Future Typical Meteorological Year (fTMY) US Weather Files for Building Simulation for every US County in CONUS, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.5281/zenodo.10420668.

[26] Kao, S.-C., M. M. Thornton, P. E. Thornton, and R. Shrestha (2024), Gridded Sub-daily Climate Forcings for North America Based on Daymet and GSWP3 (Daymet-GSWP3), Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.13139/OLCF/2373121.

[25] Kao, S.-C., G. R. Ghimire, and S. Gangrade (2024), CMIP6-based Multi-Model Streamflow Projections over the Conterminous US, Version 1.1, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.13139/OLCF/2318650.

[24] Kao, S.-C., M. Ashfaq, D. Rastogi, and S. Gangrade (2024), CMIP6-Based Multi-Model Hydroclimate Projection over the Conterminous US, Version 1.1, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.13139/OLCF/2311812.

[23] Ghimire, G. R., S.-C. Kao, and S. Gangrade (2023), Dayflow: CONUS Daily Streamflow Reanalysis, Version 2 (DayflowV2), Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.13139/OLCF/2222888.

[22] Johnson, M. M., S.-C. Kao, and R. Uría Martínez (2023), Existing Hydropower Assets (EHA) Plant Database, 2023, HydroSource, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.21951/EHA_FY2023/1972057.

[21] Johnson, M. M., S.-C. Kao, and R. Uría Martínez (2023), Existing Hydropower Assets (EHA) Unit Database, 2023, HydroSource, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.21951/EHA_FY2023/1972280.

[20] Johnson, M. M., S.-C. Kao, and R. Uría Martínez (2023), U.S. Hydropower Retired Facilities Data, 2023, HydroSource, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.21951/Retired_FY23/1972059.

[19] Kao, S.-C., P. E. Thornton, M. M. Thornton, R. Shrestha, and A. P. Walker (2023), Sub-Daily Climate Forcings for Puerto Rico, ak Ridge National Laboratory, Distributed Active Archive Center Oak Ridge, TN, https://doi.org/10.3334/ORNLDAAC/1977.

[18] Kao, S.-C., L. George, C. H. Hansen, S. T. DeNeale, K. Johnson, A. K. Sampson, M. Moutenot, K. Altamirano, K. Garcia, J. Downing, M. B. Day, and K. Rugani (2023), US Hydropower Potential at National Conduits, HydroSource, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.21951/CONDUIT/1993154.

[17] Thornton, M. M., R. Shrestha, Y. Wei, P. E. Thornton, S.-C. Kao, and B. E. Wilson (2022), Daymet: Station-Level Inputs and Cross-Validation for North America, Version 4 R1, Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, TN, https://doi.org/10.3334/ORNLDAAC/2132.

[16] Thornton, M. M., R. Shrestha, Y. Wei, P. E. Thornton, S.-C. Kao, and B. E. Wilson (2022), Daymet: Monthly Climate Summaries on a 1-km Grid for North America, Version 4 R1, Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, TN, https://doi.org/10.3334/ORNLDAAC/2131.

[15] Thornton, M. M., R. Shrestha, Y. Wei, P. E. Thornton, S.-C. Kao, and B. E. Wilson (2022), Daymet: Annual Climate Summaries on a 1-km Grid for North America, Version 4 R1, Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, TN, https://doi.org/10.3334/ORNLDAAC/2130.

[14] Thornton, M. M., R. Shrestha, Y. Wei, P. E. Thornton, S.-C. Kao, and B. E. Wilson (2022), Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 4 R1, Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, TN, https://doi.org/10.3334/ORNLDAAC/2129.

[13] Kao, S.-C., M. Ashfaq, D. Rastogi, and S. Gangrade (2022), CMIP6-Based Multi-Model Hydroclimate Projection over the Conterminous US, HydroSource, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.21951/SWA9505V3/1887469.

[12] Johnson, M. M., S.-C. Kao, and R. Uría Martínez (2022), Existing Hydropower Assets (EHA), 2022, HydroSource, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.21951/EHA_FY2022/1865282.

[11] Johnson, M. M., S.-C. Kao, and R. Uría Martínez (2022), U.S. Hydropower Retired Facilities Data, 2022, HydroSource, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.21951/Retired_FY22/1867369.

[10] Ghimire, G. R., C. H. Hansen, S. Gangrade, S.-C. Kao, P. E. Thornton, and D. Singh (2022), Dayflow: CONUS Daily Streamflow Reanalysis, Version 1, HydroSource, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.21951/Dayflow/1847639.

[9] Brett, B., J. New, D. Rastogi, and S.-C. Kao (2022), Future Typical Meteorological Year (fTMY) US Weather Files for Building Simulation (1.0), Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.5281/zenodo.6939750.

[8] Thornton, M. M., R. Shrestha, P. E. Thornton, S.-C. Kao, Y. Wei, and B. E. Wilson (2021), Daymet Version 4 Monthly Latency: Daily Surface Weather Data, Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, TN, https://doi.org/10.3334/ORNLDAAC/1904.

[7] Nelson, K., S. W. D. Turner, C. Vernon, J. Rice, and S.-C. Kao (2021), UWSCatCH: Urban Water Supply Catchment Contributions and Hydrological Statistics for Large Cities of the Conterminous United States. V.1.0, Pacific Northwest National Laboratory, Richland, WA, https://doi.org/10.5281/zenodo.4315195.

[6] Johnson, M. M., S.-C. Kao, N. M. Samu, and R. Uría Martínez (2021), Existing Hydropower Assets (EHA) Plant Database, 2021, HydroSource, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.21951/EHA_FY2021/1782791.

[5] Thornton, M. M., R. Shrestha, Y. Wei, P. E. Thornton, S.-C. Kao, and B. E. Wilson (2020), Daymet: Monthly Climate Summaries on a 1-km Grid for North America, Version 4, Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, TN, https://doi.org/10.3334/ORNLDAAC/1855.

[4] Thornton, M. M., R. Shrestha, Y. Wei, P. E. Thornton, S.-C. Kao, and B. E. Wilson (2020), Daymet: Annual Climate Summaries on a 1-km Grid for North America, Version 4, Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, TN, https://doi.org/10.3334/ORNLDAAC/1852.

[3] Thornton, M. M., R. Shrestha, Y. Wei, P. E. Thornton, S.-C. Kao, and B. E. Wilson (2020), Daymet: Station-Level Inputs and Cross-Validation Result for North America, Version 4, Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, TN, https://doi.org/10.3334/ORNLDAAC/1850.

[2] Thornton, M. M., R. Shrestha, Y. Wei, P. E. Thornton, S.-C. Kao, and B. E. Wilson (2020), Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 4, Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, TN, https://doi.org/10.3334/ORNLDAAC/1840.

[1] Morales Hernández, M., K. J. Evans, S. Gangrade, S.-C. Kao, M. B. Sharif, S. K. Ghafoor, A. J. Kalyanapu, T. T. Dullo (2020), TRITON, Computer Software, Oak Ridge National Laboratory, TN, https://doi.org/10.11578/dc.20201001.85.

Technical Reports

[18] Kao, S.-C., L. George, C. H. Hansen, S. T. DeNeale, K. Johnson, A. K. Sampson, M. Moutenot, K. Altamirano, K. Garcia, J. Downing, M. B. Day, and K. Rugani (2022), An Assessment of Hydropower Potential at National Conduits, ORNL/TM-2022/2431, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.2172/1890335.

[17] Kao, S.-C., M. Ashfaq, D. Rastogi, S. Gangrade, R. Uría Martínez, A. Fernandez, G. Konapala, N. Voisin, T. Zhou, W. Xu, H. Gao, B. Zhao, and G. Zhao (2022), The Third Assessment of the Effects of Climate Change on Federal Hydropower, ORNL/TM-2021/2278, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.2172/1887712.

[16] Mohammadi, S., M. T. Bensi, S.-C. Kao, and S. T. DeNeale (2021), Multi-Mechanism Flood Hazard Assessment: Example Use Case Studies, ORNL/TM-2021/2231, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.2172/1826019.

[15] DeNeale, S. T., S.-C. Kao, D. B. Watson, and K. Quinlan (2021), Considerations for Site-Specific Probable Maximum Precipitation Estimation at Nuclear Power Plants in the United States of America, NUREG/KM-0015, ML12053A340, ORNL/SPR-2021/1375, U.S. Nuclear Regulatory Commission, Washington, DC, https://www.nrc.gov/reading-rm/doc-collections/nuregs/knowledge/km0015/index.html.

[14] Kao, S.-C., and S. T. DeNeale (2021), Application of Point Precipitation Frequency Estimates to Watersheds, NUREG/KM-0015, ML21039A503, ORNL/SPR-2019/1375, U.S. Nuclear Regulatory Commission, Washington, DC, https://www.nrc.gov/reading-rm/doc-collections/nuregs/contract/cr7271/index.html.

[13] Bensi, M. T., S. Mohammadi, S.-C. Kao, and S. T. DeNeale (2020), Multi-Mechanism Flood Hazard Assessment: Critical Review of Current Practice and Approaches, ORNL/TM-2020/1447, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.2172/1637939.

[12] Kao, S.-C., and K. Johnson (2018), An Assessment of Energy Potential at Public Drinking Water Systems: Initial Report on Methodology, ORNL/TM-2018/869, Oak Ridge National Laboratory, Oak Ridge, TN.

[11] Stewart, K. M., B. T. Smith, A. Witt, S. DeNeale, M. Bevelhimer, J. L. Pries, T. A. Burress, S.-C. Kao, M. Mobley, K. Lee, S. Curd, A. Tsakiris, C. Mooneyham, T. Papanicolaou, K. Ekici, M. Whisenant, T. Welch, and D. Rabon (2017), Simulation and Modeling Capability for Standard Modular Hydropower Technology, ORNL/TM-2017/175, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.2172/1394299.

[10] Allen, M. R., T. J. Wilbanks, B. L. Preston, S.-C. Kao, and J. Bradbury (2017), Assessing the Costs and Benefits of Resilience Investments: Tennessee Valley Authority Case Study, ORNL/TM-2017/13, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.2172/1343538.

[9] Kao, S.-C., M. Ashfaq, B. S. Naz, R. Uría Martínez, D. Rastogi, R. Mei, Y. Jager, N. M. Samu, and M. J. Sale (2016), The Second Assessment of the Effects of Climate Change on Federal Hydropower, ORNL/SR-2015/357, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.2172/1340431.

[8] Schubel, J., J. A. Lentz, F. Qader, A. Kishaba, D. Bader, L. Perkins, E. Yam, A. Kaneda, L. Brown, B. R. Pagán, J. S. Pal, C. Gao, J. Reichenberger, D. R. Kendall, M. Ashfaq, D. Rastogi, S.-C. Kao, B. S. Naz, and D. Otto (2015), City of Long Beach Climate Resiliency Assessment Report, prepared by the Aquarium of the Pacific (AOP), for the City of Long Beach, CA.

[7] Kao, S.-C., R. A. McManamay, K. M. Stewart, N. M. Samu, B. Hadjerioua, S. T. DeNeale, D. Yeasmin, M. F. K. Pasha, A. A. Oubeidillah, and B. T. Smith (2014), New Stream-Reach Development: A Comprehensive Assessment of Hydropower Energy Potential in the United States, GPO DOE/EE-1063, Wind and Water Power Program, Department of Energy, Washington, DC, https://doi.org/10.2172/1130425.

[6] Hadjerioua, B., S.-C. Kao, R. A. McManamay, M. F. K. Pasha, D. Yeasmin, A. A. Oubeidillah, N. M. Samu, K. M. Stewart, M. S. Bevelhimer, S. L. Hetrick, Y. Wei, and B. T. Smith (2013), An Assessment of Energy Potential from New Stream-Reach Development in the United States: Initial Report on Methodology, Technical Manual 2012/298, Oak Ridge National Laboratory, Oak Ridge, TN.

[5] Sale, M. J., S.-C. Kao, M. Ashfaq, D. P. Kaiser, R. Uría Martínez, C. Webb, and Y. Wei (2012), Assessment of the Effects of Climate Change on Federal Hydropower, Technical Manual 2011/251, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.2172/1220238.

[4] Hadjerioua, B., Y. Wei and S.-C. Kao (2012), An Assessment of Energy Potential at Non-Powered Dams in the United States, GPO DOE/EE-0711, Wind and Water Power Program, Department of Energy, DC, https://doi.org/10.2172/1039957.

[3] Hadjerioua, B., S.-C. Kao, M. J. Sale, Y. Wei, S. K. SanthanaVannan, H. A. Shanafield III, D. P. Kaiser, R. Devarakonda, C. Odeh, G. Palanisamy and B. T. Smith (2010), National Hydropower Asset Assessment Project (NHAAP) 2010 Final Annual Report, Technical Manual 2010/260, Oak Ridge National Laboratory, Oak Ridge, TN.

[2] Kao, S.-C., S. Tripathi, T. J. Cooper, T. P. Chan, J. E. Alleman and R. S. Govindaraju (2008), The I-70 Greenfield Rest Area Wetland Projects: Final Report, Joint Transportation Research Program Report, Purdue University, West Lafayette, IN.

[1] Rao, A. R. and S.-C. Kao (2006), Statistical Analysis of Indiana Rainfall Data, Joint Transportation Research Program Report, C-36-62R, Purdue University, West Lafayette, IN.

Book Chapters

[2] Grimaldi, S., S.-C. Kao, A. Castellarin, S.-M. Papalexiou, A. Viglione, F. Laio, H. Aksoy, and A. Gedikli (2011), Statistical Hydrology, Treatise on Water Science, 479, https://doi.org/10.1016/B978-0-444-53199-5.00046-4.

[1] Kao, S.-C. and R. S. Govindaraju (2008), Probabilistic Structure of Rainfall Events over Indiana, USA, in Hydraulics and Hydrology (ed. V. P. Singh), Water Resources Publications, LLC, pp. 505-532.

Other Publication

[5] Contributor - River Management Joint Operating Committee (2018), Climate and Hydrology Datasets for RMJOC Long-Term Planning Studies: Second Edition (RMJOC-II), Part I: Hydroclimate Projections and Analyses, River Management Joint Operating Committee (RMJOC): Bonneville Power Administration, US Army Corps of Engineers, and Bureau of Reclamation.

[4] Lead Author - U.S. Department of Energy (2017), Effects of Climate Change on Federal Hydropower: The Second Report to Congress, Department of Energy, Washington, DC.

[3] Contributor - U.S. Department of Energy (2016), Hydropower Vision: A New Chapter for America's 1st Renewable Electricity Source, Wind and Water Power Program, Department of Energy, Washington, DC.

[2] Lead Author - U.S. Department of Energy (2013), Effects of Climate Change on Federal Hydropower: Report to Congress, DOE/GO-102016-4869, Department of Energy, Washington, DC.

[1] Hadjerioua, B., S.-C. Kao, Y. Wei, B. Smith, and H. Battey (2012), Non-Powered Dams: An Uptapped Source of Renewable Electricity in the USA, The International Journal on Hydropower and Dams, 19(4), 45-48.

Selected Conference Papers / Presentations

[182] Kao, S.-C., M. Ashfaq, D. Rastogi, S. Gangrade, R. Uría Martínez, G. Ghimire, N. Voisin, D. Broman, A. Fernandez, J. H. LaFontaine, R. Viger, S. W. Kimbrel, and C. D. Frans (2024), Science Supporting Long-Term Planning: The Journey of SECURE Water Act Assessments (invited), American Geophysical Union 2023 Fall Meeting, December 11-15, San Francisco, CA.

[181] Tanim, A. H., S. W. D. Turner, J. D. Gomez Velez, C. Montgomery, M. P. Massey, and S.-C. Kao (2024), Py-QUAL-W2: a Rapidly Deployable and Configurable Tool for Reservoirs Water Quality Modeling, American Geophysical Union 2024 Fall Meeting, December 9-13, Washington, DC.

[180] Nur, F., G. K. Darkwah, S. Gangrade, G. R. Ghimire, S.-C. Kao, and A. J. Kalyanapu (2024), Application of Triton-Lite, A Deep-Learning Surrogate Model for Flood Inundation Modeling, American Geophysical Union 2024 Fall Meeting, December 9-13, Washington, DC.

[179] Wang, Y., J. Mao, C. M. Brelsford, D. M. Ricciuto, F. Yuan, X. Shi, D. Rastogi, M. A. Mayes, S.-C. Kao, J. M. Warren, N. A. Griffiths, X. Cheng, D. J. Weston, Y. Zhou, L. Gu, and P. E. Thornton (2024), Thermal, Water, and Land Cover Factors Led to Contrasting Urban and Rural Vegetation Resilience to Extreme Hot Months, American Geophysical Union 2024 Fall Meeting, December 9-13, Washington, DC.

[178] Wang, D., P. Schwartz, F. Yuan, D. M. Ricciuto, S.-C. Kao, M. M. Thornton, A. P. Walker, P. E Thornton, Q. Cao, and C. Wang (2024), Kilometer-Scale E3SM Land Model: Code Development, Deployment, Evaluation, and Applications, American Geophysical Union 2024 Fall Meeting, December 9-13, Washington, DC.

[177] Taysi, H., Y.-C. E. Yang, S. Gangrade, T. Chegini, S.-C. Kao, and H.-Y. Li (2024), Comparative Analysis of Urban Drainage Network Integration in Flood Prediction Models, American Geophysical Union 2024 Fall Meeting, December 9-13, Washington, DC.

[176] Nikrou, P., A. Baruah, S. Gangrade, S.-C. Kao, S. Seyvani, D. Tian, and S. Cohen (2024), Comparative Analysis of Flood Inundation Mapping Techniques: Evaluating Hydrodynamic and Terrain-Based Models for Enhanced Precision and Efficiency Using Remote Sensing, American Geophysical Union 2024 Fall Meeting, December 9-13, Washington, DC.

[175] Gomez Velez, J. D., S. W. D. Turner, A. H. Tanim, and S.-C. Kao (2024), Assessing the Potential Machine Learning Models to Predict Water Temperature Dynamics in Regulated River Networks, American Geophysical Union 2024 Fall Meeting, December 9-13, Washington, DC.

[174] England Jr., J. F., J. A. Smith, E. Foufoula-Georgiou, J. W. Nielsen-Gammon, L. R. Leung, K. D. Holman, R. Schumacher, S.-C. Kao, and J. Obeysekera (2024), Modernizing Probable Maximum Precipitation for Critical Infrastructure - A Vision and New Definition, American Geophysical Union 2024 Fall Meeting, December 9-13, Washington, DC.

[173] Yuan, F., D. Wang, B. N. Sulman, B. Murphy, J. Kumar, A. L. Breen, V. G. Salmon, S.-C. Kao, M. M. Thornton, C. Bachand, K. E. Bennett, D. Yang, P. E. Thornton, and C. M. Iversen (2024), High Resolution E3SM Land Model Simulations in Alaska's Seward Peninsula Region with Mixed Resolution Datasets of Soils, Plant Function Types and Meteorological Forcings, American Geophysical Union 2024 Fall Meeting, December 9-13, Washington, DC.

[172] McCollum, D. L., A. P. Walker, G. Watson, T. M. Carvalhaes, Y. Chen, M. Coletti, M. R. Davis, D. De La Torre Ugarte, M. R. Allen-Dumas, Y. Liu, S.-C. Kao, A. Meyer, B. Miller, O. Omitaomu, B. Pandey, E. S. Parish, E. Popov, S. S. Rathore, A. Roy, and D. Wang (2024), Implications of Net-Zero Solutions for Local- and Regional-Scale Human and Natural Systems: A Proof-of-Concept, American Geophysical Union 2024 Fall Meeting, December 9-13, Washington, DC.

[171] Lassiter, D. C., J. Quinn, M. Morales Hernández, S. Gangrade, S.-C. Kao, J. Fernández Pato, and D. B. Wright (2024), An Ensemble-Based Approach for Flood Probability Mapping and Design Event Selection in an Urban Coastal Watershed, American Geophysical Union 2024 Fall Meeting, December 9-13, Washington, DC.

[170] Broman, D., N. Voisin, F. Wolkeba, A. Fernandez, S.-C. Kao, and G. R. Ghimire (2024), Enhancing US-Wide Water Management and Hydropower Modeling in Support of Integrated Water and Energy Climate Impacts Assessments, American Geophysical Union 2024 Fall Meeting, December 9-13, Washington, DC.

[169] Gangrade, S., S.-C. Kao, G. R. Ghimire, M. Morales Hernández, M. E. Kelleher, and M. R. Norman (2024), Climate-Informed High-Resolution Flood Inundation Mapping Using Leadership Computing: Large-Scale Ensemble Simulations Driven by Downscaled CMIP6 Projections, American Geophysical Union 2024 Fall Meeting, December 9-13, Washington, DC.

[168] Rastogi, D., H. Niu, L. Passarella, S. Mahajan, S.-C. Kao, P. Vahmani, and A. D. Jones (2024), Complementing Dynamical Downscaling with Artificial Intelligence: A Proof-of-Concept, American Geophysical Union 2024 Fall Meeting, December 9-13, Washington, DC.

[167] Ghimire, G. R., S.-C. Kao, and S. Gangrade (2024), CMIP6-Based Multi-Model Streamflow Projections over the Conterminous US, American Geophysical Union 2024 Fall Meeting, December 9-13, Washington, DC.

[166] Tanim, A. H., S. W. D. Turner, J. D. Gomez Velez, C. Montgomery, M. P. Massey, and S.-C. Kao (2024), Modeling Reservoir Thermal Stratification and Stream Temperatures along a Heavily Regulated River under Climate Change, American Geophysical Union 2024 Fall Meeting, December 9-13, Washington, DC.

[165] Turner, S. W. D., H. H. Bokhari, S.-C. Kao, and F. Corsi (2024), Climate Change Impacts on Hydropower: Inter-Comparison of Grid-Scale Models, American Geophysical Union 2024 Fall Meeting, December 9-13, Washington, DC.

[164] Gangrade, S., S.-C. Kao, G. R. Ghimire, M. Morales Hernández, and M. E. Kelleher (2024), Ensemble Flood Inundation Mapping Under Changing Climate Conditions at U.S. Department of Defense Installations, DoD Energy and Environment Innovation Symposium, December 3-6, Washington, DC.

[163] Broman, D., N. Voisin, A. Fernandez, S.-C. Kao, and G. R. Ghimire (2024), CONUS-Wide Multiscale Hydropower Projections to Address Water-Energy Tradeoffs, WaterSciCon24, June 24-27, St. Paul, MN.

[162] Gangrade, S., S.-C. Kao, G. R. Ghimire, M. Morales Hernández, M. E. Kelleher, and Y.-H. Wang (2024), Ensemble Flood Inundation Mapping under Changing Climate Conditions: A Case Study Driven by Downscaled CMIP6 Projections, World Environmental & Water Resources Congress 2024, May 19-22, Milwaukee, WI.

[161] Ghimire, G. R., S.-C. Kao, Y. Liu, S. Gangrade, E. Parish, C. R. DeRolph, and H. I. Jager (2024), Shifted Flood Frequencies in the Mid-Atlantic US: Insights from Downscaled CMIP6 Hydroclimate Projections, World Environmental & Water Resources Congress 2024, May 19-22, Milwaukee, WI.

[160] Ghimire, G. R., S. Gangrade, S.-C. Kao, M. Morales Hernández, and M. E. Kelleher (2024), Advancing a High-Resolution Historical Flood Inundation Reanalysis for the Conterminous United States, the 104th American Meteorological Society Annual Meeting, January 28-February 1, Baltimore, MD.

[159] Kao, S.-C., S. Gangrade, M. Morales Hernández, G. R. Ghimire, M. E. Kelleher, and A. J. Kalyanapu (2023), Scaling Up Hydrodynamic Inundation Simulation - How Far Can We Go? (invited), American Geophysical Union 2023 Fall Meeting, December 11-15, San Francisco, CA.

[158] Tavakoly, A. A., J. W. Wegiel, Y. Yoon, A. Getirana, S. V. Kumar, M. P. Geheran, E. M. Kemp, S. Lytle, N. Memarsadeghi, A. W. Sisco, H. K. Levin, S. Gangrade, S.-C. Kao, and M. Best (2023), Recent Developments and Advancements in Global Hydrology Prediction and Projection (invited), American Geophysical Union 2023 Fall Meeting, December 11-15, San Francisco, CA.

[157] Buotte, P., M. Longo, M. Shi, E. Helmer, M. M. Thornton, S.-C. Kao, S. Martinuzzi, D. C. Morton, M. Keller, C. Koven, and L. M. Kueppers (2023), Land Use and Climate Effects on Secondary Tropical Forest Trajectories, American Geophysical Union 2023 Fall Meeting, December 11-15, San Francisco, CA.

[156] Diaz, D., S. Gangrade, G. R. Ghimire, S.-C. Kao, L. Fischer, M. Christian, N. S. Rao, and J. Thomas (2023), Estimating Future Risks of Hydroclimatic Extremes and their Impacts on US Hydropower Reservoirs in a Warming Climate, American Geophysical Union 2023 Fall Meeting, December 11-15, San Francisco, CA.

[155] Ghimire, G. R., S.-C. Kao, and S. Gangrade (2023), Advancing Streamflow Reanalysis in the Conterminous United States: Leveraging Multiple Forcings to Enhance Peak Flow Dynamics, American Geophysical Union 2023 Fall Meeting, December 11-15, San Francisco, CA.

[154] DeNeale, S. T., S.-C. Kao, C. H. Hansen, and A. Chu (2023), Development Potential for Renewable Hydropower Generation in Existing US Water Conduits, American Geophysical Union 2023 Fall Meeting, December 11-15, San Francisco, CA.

[153] Wang, D., P. Schwartz, F. Yuan, S.-C. Kao, M. M. Thornton, D. M. Ricciuto, and P. E. Thornton (2023), Developing Ultrahigh Resolution E3SM Land Model on Large Supercomputers, American Geophysical Union 2023 Fall Meeting, December 11-15, San Francisco, CA.

[152] Yuan, F., B. N. Sulman, J. Kumar, S.-C. Kao, and A. L. Breen (2023), Interaction of High-Resolution Forcing and New Arctic Plant Functional Types on ELM Simulated Snow Seasonality in Seward Peninsula Region of Alaska, American Geophysical Union 2023 Fall Meeting, December 11-15, San Francisco, CA.

[151] Bhanja, S. N., D. Singh, S. Gangrade, and S.-C. Kao (2023), Assessing the Impacts of Climate Change on Sedimentation and Reservoir Operations: A Tennessee River Basin Case Study, American Geophysical Union 2023 Fall Meeting, December 11-15, San Francisco, CA.

[150] Rastogi, D., S.-C. Kao, and M. Ashfaq (2023), Evaluating Widespread and Persistent Temperature Extremes: Implications for the United States Electric Grid Infrastructure, American Geophysical Union 2023 Fall Meeting, December 11-15, San Francisco, CA.

[149] Zhao, B., S.-C. Kao, C. Pearson, J. L. Huntington, K. Holmes, G. H. Allen, M. Shao, A. Yadav, and H. Gao (2023), Meteorological Drivers and the Trend of Extreme Daily Reservoir Evaporation in Western United States, American Geophysical Union 2023 Fall Meeting, December 11-15, San Francisco, CA.

[148] Morales Hernández, M., D. C. Lassiter, S. Gangrade, S.-C. Kao, and J. Fernández Pato (2023), TRITON-SWMM: A Proof-of-Concept 1D/2D Hydrodynamic Model Coupling for Better Urban Flooding Simulation and Stormwater Management, American Geophysical Union 2023 Fall Meeting, December 11-15, San Francisco, CA.

[147] Turner, S. W. D., G. R. Ghimire, C. H. Hansen, and S.-C. Kao (2023), Drivers of Long Term Trend in U.S. Hydropower Utilization Over the Past Four Decades, American Geophysical Union 2023 Fall Meeting, December 11-15, San Francisco, CA.

[146] Gangrade, S., S.-C. Kao, G. R. Ghimire, M. Morales Hernández, and M. E. Kelleher (2023), Towards the Development of a Climate-Informed Flood Vulnerability Assessment Framework for Department of Defense (DoD) Installations (2023), American Geophysical Union 2023 Fall Meeting, December 11-15, San Francisco, CA.

[145] Zhang, L., H. J. Rubin, J. S. Fu, R.-Y. Chien, and S.-C. Kao (2023), Accurate Risk Assessment of Drought in the U.S. Through Dynamic Downscaling Methods, American Geophysical Union 2023 Fall Meeting, December 11-15, San Francisco, CA.

[144] Tseng, C.-Y., S. W. D. Turner, C. Montgomery, S. Gangrade, M. P. Massey, K. M. Stewart, and S.-C. Kao (2023), Sensitivity of Thermal Stratification in Two Southeastern Reservoirs in Response to Changes in Long-Term Temperature and Flow Discharge, American Geophysical Union 2023 Fall Meeting, December 11-15, San Francisco, CA.

[143] Taysi, H., Y.-C. E. Yang, X. Pu, M. Rahnemoonfar, S. Gangrade, and S.-C. Kao (2023), Implementation of Urban Drainage Networks into a Machine Learning-based 2D Hydrodynamic Surrogate Model, American Geophysical Union 2023 Fall Meeting, December 11-15, San Francisco, CA.

[142] Pflug, J. M., S. V. Kumar, B. Livneh, E. D. Gutmann, S. Gangrade, S.-C. Kao, and S. Rahimi (2023), Testing Coherence Across Ensembles of Statistically Downscaled Montane Snow Projections, American Geophysical Union 2023 Fall Meeting, December 11-15, San Francisco, CA.

[141] Fan, M., S. Gangrade, S. Liu, S.-C. Kao, and D. Lu (2023), Enhancing Multi-Step Reservoir Inflow Forecasting: A Time-Variant Machine Learning Approach with Interpretability Analysis, American Geophysical Union 2023 Fall Meeting, December 11-15, San Francisco, CA.

[140] Lytle, S. E., J. L. Gutenson, A. A. Tavakoly, S. Arias Roman, and S.-C. Kao (2023), Using Downscaled National Hydrologic Projections to Assess Climate Change-Induced Scour Risk to Bridges, American Geophysical Union 2023 Fall Meeting, December 11-15, San Francisco, CA.

[139] Gangrade, S., S.-C. Kao, G. R. Ghimire, M. Morales Hernández, and M. E. Kelleher (2023), Developing a Hierarchical Modeling Framework to Assess Climate Change-Induced Flood Vulnerability at Department of Defense (DoD) Installations, DoD Energy and Environment Innovation Symposium, November 28-December 1, Arlington, VA.

[138] Gangrade, S., G. R. Ghimire, S.-C. Kao, M. Morales Hernández, M. E. Kelleher, and A. J. Kalyanapu (2023), Scalable and Efficient Hydrodynamic Inundation Modeling for the 2019 Midwestern US Flood, SimHydro 2023, November 8-10, Chatou, France.

[137] Bensi, M. T., S. Mohammadi, Z. Liu, M. L. Carr, S. T. DeNeale, J. Kanney, S.-C. Kao, N. Nadal-Caraballo, and E. Yegorova (2023), Development of a Graded Bayesian Approach to Assess Compound Coastal Hazards, International Expert Workshop on the Safety Assessment of Nuclear Installations for Combinations of External Hazards, September 11-13, Fontenay-aux-Roses, France.

[136] Wang, D., F. Yuan, P. Schwartz, S.-C. Kao, M. M. Thornton, D. M. Ricciuto, P. E. Thornton (2023), An Efficient Data Toolkit for Ultrahigh-Resolution E3SM Land Simulation on Massively Parallel Processing Systems, the 25th International Congress on Modelling and Simulation, July 9-14, Darwin, Northern Territory, Australia.

[135] Gangrade, S., G. R. Ghimire, S.-C. Kao, M. Morales Hernández, M. E. Kelleher, and A. J. Kalyanapu (2023), Retrospective Reconstruction of the 2019 Midwestern Flood Inundation Dynamics, World Environmental & Water Resources Congress 2023, May 21-24, Henderson, NV.

[134] Bhuyian, M. N. M., G. R. Ghimire, S. Gangrade, S.-C. Kao, and D. Blackwood (2023), Evaluating Changes in Design Flow for Road-Stream Crossings in West Tennessee using CMIP6-Based Hydroclimate Projections, World Environmental & Water Resources Congress 2023, May 21-24, Henderson, NV.

[133] Lu, D., S. Gangrade, and S.-C. Kao (2023), An Uncertainty-Aware, Machine Learning-Enabled Reservoir Inflow Forecast Model, World Environmental & Water Resources Congress 2023, May 21-24, Henderson, NV.

[132] Ghimire, G. R., S. Gangrade, and S.-C. Kao (2023), An Uncertainty-Aware, Machine Learning-Enabled Reservoir Inflow Forecast Model, World Environmental & Water Resources Congress 2023, May 21-24, Henderson, NV.

[131] Massey, M. P., J. Quebbeman, S. Carney, S.-C. Kao, and D. Rastogi (2023), Assessing Climate Change Impacts to River Management Operations in the Tennessee Valley, United States Society on Dams 2023 Annual Meeting, April 17-21, Charleston, SC.

[130] Nur, F., G. K. Darkwah, S. Gangrade, G. R. Ghimire, S.-C. Kao, and A. J. Kalyanapu (2023), Application of Triton-Lite, A Deep-Learning Surrogate Model for Flood Risk Management, 2023 Tennessee Water Resources Symposium, April 12-14, Burns, TN.

[129] Ghimire, G. R., S. Gangrade, S.-C. Kao, M. Morales Hernández, M. E. Kelleher, A. J. Kalyanapu, Y. Yoon, A. Getirana, S. V. Kumar, and J. W. Wegiel (2023), Hydrodynamic Inundation Simulation for Large Global Watersheds - A Proof of Concept, the 103rd American Meteorological Society Annual Meeting, January 8-12, Denver, CO.

[128] Kao, S.-C., M. Ashfaq, D. Rastogi, S. Gangrade, R. Uría Martínez, N. Voisin, A. Fernandez, T. Zhou, W. Xu, H. Gao, and B. Zhao (2022), Effects of Climate Change on US Federal Hydropower Generation - CMIP6-Based Assessment with Focus on Understanding the Uncertainty, American Geophysical Union 2022 Fall Meeting, December 12-16, Chicago, IL.

[127] Mohammadi, S., M. T. Bensi, S.-C. Kao, S. T. DeNeale, J. Kanney, E. Yegorova, and M. L. Carr (2022), Compound Flood Hazard Assessment Using a Bayesian Framework, American Geophysical Union 2022 Fall Meeting, December 12-16, Chicago, IL.

[126] Gangrade, S., G. R. Ghimire, S.-C. Kao, M. Morales Hernández, M. E. Kelleher, and A. J. Kalyanapu (2022), Towards the Development of a High-Resolution Historical Flood Inundation Reanalysis Dataset for the Conterminous United States, American Geophysical Union 2022 Fall Meeting, December 12-16, Chicago, IL.

[125] Hansen, C. H., S. T. DeNeale, J. Feyyisa, G. Oladosu, and S.-C. Kao (2022), Characterizing Development/Retrofit Projects Using Existing Non-Powered Infrastructure, American Geophysical Union 2022 Fall Meeting, December 12-16, Chicago, IL.

[124] Iftikhar, B., S. Gangrade, D. Lu, S.-C. Kao, S. L. Painter, and E. Coon (2022), Simulating Operation Behaviors of Cascade Reservoirs Using Physics-Based Machine Learning Models: A Case Study for Gunnison River Basin, American Geophysical Union 2022 Fall Meeting, December 12-16, Chicago, IL.

[123] Sisco, A. W., A. A Tavakoly, and S.-C. Kao (2022), Continental-Scale Changes in Discharge of the Mississippi River Basin in Response to Future Hydroclimate Projections, American Geophysical Union 2022 Fall Meeting, December 12-16, Chicago, IL.

[122] Feyyisa, J., S.-C. Kao, S. T. DeNeale, and B. M. Pracheil (2022), Low Flow Characteristics for Regulated and Unregulated Streams in North Carolina and Prediction Using Climate Signals, American Geophysical Union 2022 Fall Meeting, December 12-16, Chicago, IL.

[121] Ghimire, G. R., C. H. Hansen, S. Gangrade, and S.-C. Kao (2022), Insights from Dayflow: A Spatiotemporally Continuous Historical Streamflow Reanalysis Dataset for the Conterminous United States, American Geophysical Union 2022 Fall Meeting, December 12-16, Chicago, IL.

[120] Zhang, L., H. J. Rubin, J. S. Fu, D. Rastogi, S.-C. Kao, and M. Ashfaq (2022), Heat Wave Predictions with Dynamical and Statistical Downscaling Methods, American Geophysical Union 2022 Fall Meeting, December 12-16, Chicago, IL.

[119] Ghimire, G. R., S. Gangrade, S.-C. Kao, M. Morales Hernández, A. A. Tavakoly, J. L. Gutenson, K. H. Sparrow, G. K. Darkwah, A. J. Kalyanapu, and M. L. Follum (2022), Unraveling an Extreme Flooding Event Using High-Performance Computing: A Case Study for the 2021 Middle Tennessee Flooding, Frontiers in Hydrology Meeting 2022, June 19-24, San Juan, PR.

[118] Kao, S.-C., S. T. DeNeale, M. T. Bensi, S. Mohammadi, E. Yegorova, J. Kanney, and M. L. Carr (2022), Probabilistic Assessment of Multi-Mechanism Floods in Inland Watersheds Due to Snowmelt-Influenced Extreme Streamflow Events, World Environmental & Water Resources Congress 2022, June 5-8, Atlanta, GA.

[117] Darkwah, G. K., A. J. Kalyanapu, S. Gangrade, S.-C. Kao, M. B. Sharif, S. K. Ghafoor, M. Morales Hernández, and G. R. Ghimire (2022), The Applicability of Deep Learning Techniques in Developing a Surrogate Flood Inundation Model for Operational Needs, World Environmental & Water Resources Congress 2022, June 5-8, Atlanta, GA.

[116] Gangrade, S., D. Rastogi, S.-C. Kao, and M. Ashfaq (2022), Evaluation of CMIP6 based Multi-Model Ensemble Hydroclimate Projections and their Associated Uncertainties Over the Conterminous United States, World Environmental & Water Resources Congress 2022, June 5-8, Atlanta, GA.

[115] Kao, S.-C., M. Ashfaq, D. Rastogi, S. Gangrade, R. Uría Martínez, A. Fernandez, N. Voisin, T. Zhou, W. Xu, H. Gao, and B. Zhao (2022), Effects of Climate Change on U.S. Federal Hydropower Generation, Innovations in Climate Resilience 2022 (ICR22), March 29-30, Columbus, OH.

[114] Shao, M., N. Fernando, J. Zhu, S.-C. Kao, G. Zhao, and Huilin Gao (2022), Evaluating Future Surface Water Availability Considering Changes in Reservoir Evaporation and Streamflow Due to Climate Change, the 102nd American Meteorological Society Annual Meeting, January 23-27, Houston, TX.

[113] Kao, S.-C., L. George, K. Johnson, A. K. Sampson, M. Moutenot, K. Altamirano, K. Garcia, C. H. Hansen, S. T. DeNeale, M. Sciubba, and C. Vezina (2021), Assessing Hydropower Potential in National Water Conduits: Challenges and Opportunities (invited), American Geophysical Union 2021 Fall Meeting, December 13-17, New Orleans, LA.

[112] Yuan, F., S.-C. Kao, T. K. Tesfa, D. Wang, P. Schwartz, M. M. Thornton, P. E. Thornton, and S. D. Wullschleger (2021), High-Resolution Forcing Driven Offline ELM Snow Processing and Comparing to Observations in Two Alaska Tundra Regions, American Geophysical Union 2021 Fall Meeting, December 13-17, New Orleans, LA.

[111] Lytle, S. E., A. A. Tavakoly, J. L. Gutenson, K. H. Sparrow, M. P. Geheran, and S.-C. Kao (2021), Investigating the Impact of Climate Change on Extreme Flood Conditions Across the Mississippi River Basin, American Geophysical Union 2021 Fall Meeting, December 13-17, New Orleans, LA.

[110] Li, X., D. Fu, P. Chang, J. W. Nielson-Gammon, S. Gangrade, M. Morales Hernández, S.-C. Kao, N. Voisin, and H. Gao (2021), Evaluating the Potential Impacts from Climate Change on Compound Flooding at a Coastal Watershed, American Geophysical Union 2021 Fall Meeting, December 13-17, New Orleans, LA.

[109] Shi, M., M. Keller, C. Koven, L. M. Kueppers, J. Needham, R. G. Knox, S.-C. Kao, P. E. Thornton, M. M. Thornton, and L. R. Leung (2021), Studies of Hurricane Disturbance and Recovery in Puerto Rico Using ELM-FATES, American Geophysical Union 2021 Fall Meeting, December 13-17, New Orleans, LA.

[108] Gangrade, S., D. Lu, S.-C. Kao, S. L. Painter, and E. Coon (2021), Evaluation of Machine Learning Assisted Reservoir Operation Models for Long-Term Water Management Simulation, American Geophysical Union 2021 Fall Meeting, December 13-17, New Orleans, LA.

[107] Rastogi, D., S.-C. Kao, and M. Ashfaq (2021), How May the Choice of Downscaling Techniques and Meteorological Reference Observations Affect Future Hydroclimate Projections?, American Geophysical Union 2021 Fall Meeting, December 13-17, New Orleans, LA.

[106] Darkwah, G. K., A. J. Kalyanapu, S. Gangrade, S.-C. Kao, M. B. Sharif, S. K. Ghafoor, and M. Morales Hernández (2021), Development of a Deep Learning Surrogate Model in the TRITON Inundation Modeling Framework, American Geophysical Union 2021 Fall Meeting, December 13-17, New Orleans, LA.

[105] Mohammadi, S., M. T. Bensi, S.-C. Kao, S. T. DeNeale, E. Yegorova, J. Kanney, and M. L. Carr (2021), Probabilistic Flood Hazard Assessment of Multi-Mechanism Floods Using a Computationally Tractable Bayesian-Motivated Approach, American Geophysical Union 2021 Fall Meeting, December 13-17, New Orleans, LA.

[104] Mohammadi, S., M. T. Bensi, S.-C. Kao, S. T. DeNeale, E. Yegorova, J. Kanney, and M. L. Carr (2021), Multi-Mechanism Flood Hazard Assessment in Coastal Areas, Society for Risk Analysis 2021, December 5-9 (virtual meeting).

[103] Lu, D., S. Liu, D. M. Ricciuto, G. Konapala, S. L. Painter, and S.-C. Kao (2021), Physics-Informed, Interpretable Machine Learning for Improving Terrestrial Ecosystem Predictions, 11th International Conference on Ecological Informatics (ICEI 2020+1), November 9-13 (virtual meeting).

[102] Kao, S.-C., S. T. DeNeale, E. Yegorova, J. Kanney, and M. L. Carr (2021), Factors Affecting the Variability of Precipitation Areal Reduction Factors in the Conterminous United States, World Environmental & Water Resources Congress 2021, June 7-11 (virtual meeting).

[101] Hansen, C. H., and S.-C. Kao (2021), Approaches to Quantify Energy Storage at National Hydropower Reservoirs, World Environmental & Water Resources Congress 2021, June 7-11 (virtual meeting).

[100] Gangrade, S., M. Morales Hernández, A. J. Kalyanapu, T. T. Dullo, and S.-C. Kao (2021), Applications of a High-Resolution, Multi-GPU Accelerated 2D Hydrodynamic Flood Model (TRITON) for Large-Scale Floodplain Modeling, World Environmental & Water Resources Congress 2021, June 7-11 (virtual meeting).

[99] Thornton, M. M., R. Shrestha, P. E. Thornton, S.-C. Kao, Y. Wei, and B. E. Wilson (2021), Gridded Daily Weather Data for North America with Comprehensive Uncertainty Quantification - Daymet Version 4, the 7th North American Carbon Program Open Science Meeting, March (virtual meeting).

[98] Kao, S.-C., M. Morales Hernández, S. Gangrade, A. J. Kalyanapu, and T. T. Dullo (2020), Towards the Development of An Operational Hydrodynamic Flood Simulation Capability - A Multi-GPU TRITON Framework, American Geophysical Union 2020 Fall Meeting, December 1-17 (virtual meeting).

[97] Painter, S. L., G. Konapala, D. Lu, and S.-C. Kao (2020), Combining Data-Driven Machine-Learning and Process-Based Simulations for Streamflow Simulation: Preliminary Results from the ExaSheds Project, American Geophysical Union 2020 Fall Meeting, December 1-17 (virtual meeting).

[96] Ghanbari, M., M. Arabi, and S.-C. Kao (2020), Assessment of Compound Coastal-Riverine Flooding Risks Under Climate Change along the U.S. Coasts, American Geophysical Union 2020 Fall Meeting, December 1-17 (virtual meeting).

[95] Hansen, C., and S.-C. Kao (2020), Historical Streamflow Reanalysis at the National Scale using Hierarchical Routing and Data Assimilation, American Geophysical Union 2020 Fall Meeting, December 1-17 (virtual meeting).

[94] Thornton, M. M., R. Shrestha, P. E. Thornton, S.-C. Kao, Y. Wei, and B. E. Wilson (2020), Improvements in Daymet Continental-Scale Gridded Daily Precipitation and Temperature Estimates, American Geophysical Union 2020 Fall Meeting, December 1-17 (virtual meeting).

[93] Wegiel, J. W., S. V. Kumar, Y. Yoon, A. Getirana, C. Peters-Lidard, A. A. Tavakoly, M. Wahl, J. B. Eylander, S.-C. Kao, S. Gangrade, K. J. Evans, F. H. Ruggiero, K. A. McCormack, H. K. Levin, V. Huening, M. Best, and S. Chen (2020), LIS-Hydro: Authoritative Source for OCONUS Hydro-Intelligence, American Geophysical Union 2020 Fall Meeting, December 1-17 (virtual meeting).

[92] Lytle, S. E., M. P. Geheran, E. Yeates, S.-C. Kao, A. A. Tavakoly, and J. Lewis (2020), Analyzing the Effect of Climate Change on Extreme Flood Events in the Mississippi River Basin, American Geophysical Union 2020 Fall Meeting, December 1-17 (virtual meeting).

[91] Zhao, B., G. Zhao, S.-C. Kao, Y. Li, and H. Gao (2020), Evaluating Future Hydrological Drought under A Changing Climate using A Reservoir Storage Drought Index in the United States, American Geophysical Union 2020 Fall Meeting, December 1-17 (virtual meeting).

[90] Sudershan, G., and S.-C. Kao (2020), Multi-Model Future Hydroclimate Projections using Downscaled CMIP6 over the Conterminous United States, American Geophysical Union 2020 Fall Meeting, December 1-17 (virtual meeting).

[89] Mohammadi, S., M. T. Bensi, S.-C. Kao, S. T. DeNeale, E. Yegorova, J. Kanney, and M. L. Carr (2020), Coastal Probabilistic Flood Hazard Assessment Due to Coincident Occurrence of Tropical Cyclone-Induced Surge and Precipitation, American Geophysical Union 2020 Fall Meeting, December 1-17 (virtual meeting).

[88] Li, X., C. Rankin, S. Gangrade, G. Zhao, K. Lander, N. Voisin, S.-C. Kao, M. Shao, and H. Gao (2020), Quantifying Precipitation, Streamflow, and Floodplain Forecasting Skills during Extreme Weather Events in Brays Bayou, Houston, Texas, American Geophysical Union 2020 Fall Meeting, December 1-17 (virtual meeting).

[87] Shao, M., N. Fernando, J. Zhu, G. Zhao, S.-C. Kao, and H. Gao (2020), Estimating Future Surface Water Availability with Reservoir Evaporation and Hydrological Drought Considered under CMIP6 Scenarios, American Geophysical Union 2020 Fall Meeting, December 1-17 (virtual meeting).

[86] Lu, D., G. Konapala, S. L. Painter, and S.-C. Kao (2020), Streamflow Predictions in Data-Scarce Basins using Bayesian and Physics-Informed Machine Learning Models, American Geophysical Union 2020 Fall Meeting, December 1-17 (virtual meeting).

[85] Morales Hernández, M., M. B. Sharif, S.-C. Kao, and K. J. Evans (2020), A Computationally Efficient Wet/Dry Front Tracking Technique for Large-Scale Multi-GPU Hydrodynamic Modeling, Computational Methods in Water Resources 2020, Dec 14-17 (virtual meeting).

[84] Thornton, M. M., R. Shrestha, P. E. Thornton, S.-C. Kao, Y. Wei, and B. E. Wilson (2020), Improvements in Daymet Continental-Scale Gridded Daily Temperature and Precipitation Estimates, 2020 Ecological Society of America Annual Meeting, August 2-7 (virtual meeting).

[83] Sharif, M. B., S. K. Ghafoor, T. H. Hines, M. Morales Hernández, K. J. Evans, S.-C. Kao, A. J. Kalyanapu, T. T. Dullo, and S. Gangrade (2020), Performance Evaluation of a Two Dimensional Flood Model on Heterogeneous High-Performance Computing Architectures, Proceedings of the 2020 Platform for Advanced Scientific Computing Conference (PASC20), Article No. 8, 1-9, https://doi.org/10.1145/3394277.3401852 (peer-reviewed).

[82] Gangrade, S., S.-C. Kao, and R. A. McManamay (2019), Multi-Model, Multi-Resolution Hydroclimate Projections and Associated Uncertainties: A Case Study for the Alabama-Coosa-Tallapoosa River Basin in the Southeastern United States, American Geophysical Union 2019 Fall Meeting, December 9-13, San Francisco, CA.

[81] DeNeale, S. T., S.-C. Kao, E. Yegorova, J. Kanney, and M. L. Carr (2019), A Watershed-Based Assessment of Precipitation Areal Reduction Factors in the Ohio River Basin, American Geophysical Union 2019 Fall Meeting, December 9-13, San Francisco, CA.

[80] Konapala, G., and S.-C. Kao (2019), Understanding the Connectivity of Hydrologic Model Processes through An Information Theory Approach, American Geophysical Union 2019 Fall Meeting, December 9-13, San Francisco, CA.

[79] Dullo, T. T., S. Gangrade, M. B. Sharif, M. Morales Hernández, A. J. Kalyanapu, S. K. Ghafoor, S.-C. Kao, and K. J. Evans (2019), Modeling of Climate Change Induced Flood Risk in the Conasauga River Basin, American Geophysical Union 2019 Fall Meeting, December 9-13, San Francisco, CA.

[78] Holmes, C., S. Gangrade, G. Zhao, K. Lander, N. Voisin, S.-C. Kao, M. Shao, and H. Gao (2019), Evaluating the Effects of Forecast Lead Time on Streamflow and Inundation Predictions in Brays Bayou, Houston, Texas through Coupled Hydrologic-Hydraulics Models, American Geophysical Union 2019 Fall Meeting, December 9-13, San Francisco, CA.

[77] Mao, J., W. Forbes, D. M. Ricciuto, S.-C. Kao, X. Shi, A. A. Tavakoly, M. Jin, W. Guo, T. Zhao, Y. Wang, P. E. Thornton, and F. M. Hoffman (2019), Streamflow in the Columbia River Basin: Quantifying Changes over the Period 1951-2008 and Determining the Drivers of those Changes, American Geophysical Union 2019 Fall Meeting, December 9-13, San Francisco, CA.

[76] Fang, Z., E. T. Coon, A. Jan, S.-C. Kao, G. Konapala, and S. L. Painter (2019), Exploring Climate Change Effects on Water Flow Dynamics in a Snow-Dominated Watershed Using a Physically Based Integrated Model, American Geophysical Union 2019 Fall Meeting, December 9-13, San Francisco, CA.

[75] Heidari, H., M. Arabi, T. Warziniack, and S.-C. Kao (2019), Changes in Hydroclimatic Characteristics of River Basins in the U.S over the 21st Century, American Geophysical Union 2019 Fall Meeting, December 9-13, San Francisco, CA.

[74] Mohammadi, S., M. T. Bensi, S.-C. Kao, S. T. DeNeale, M. L. Carr, and J. Kanney (2019), A Review of Joint Probability Studies Used for Estimation of Flood Hazards Due to Combinations of Flooding Mechanisms, Society for Risk Analysis 2019, December 8-12, Arlington, VA.

[73] Morales Hernández, M., M. B. Sharif, S. Gangrade, T. T. Dullo, S.-C. Kao, A. J. Kalyanapu, S. K. Ghafoor, and K. J. Evans (2019), High Performance Computing in Hydraulics: the New Era of Flood Forecasting, The International Workshop on Modelling Hydrodynamics for Water Resources, June 17-20, University of Zaragoza, Zaragoza, Spain.

[72] Ghafoor, S. K., K. J. Evans, A. J. Kalyanapu, S.-C. Kao, M. B. Sharif, T. T. Dullo, and S. Gangrade (2019), Simulating Hurricane Harvey Using Two Dimensional Flood Model on Titan and Summit at ORNL, The 2019 Platform for Advanced Scientific Computing (PASC19) Conference, June 12-14, Zurich, Switzerland.

[71] Gangrade, S., M. Shao, S.-C. Kao, G. Zhao, and H. Gao (2019), Robustness of Reservoir Operations in a Changing Environment - A Case Study for Allatoona Dam in Alabama-Coosa-Tallapoosa (ACT) River Basin, World Environmental & Water Resources Congress 2019, May 19-23, Pittsburgh, PA.

[70] Zhao, G., H. Gao, Y. Li, and S.-C. Kao (2019), The Impacts of Droughts and Growing Demand on the Reservoir Storage in the United States, World Environmental & Water Resources Congress 2019, May 19-23, Pittsburgh, PA.

[69] Bhuyian, M. N. M., T. T. Dullo, A. J. Kalyanapu, S. Gangrade, and S.-C. Kao (2019), Application of Geomorphic Correlations for River Bathymetry Correction in Two-Dimensional Hydrodynamic Modeling for Long-Term Flood Risk Evaluation, World Environmental & Water Resources Congress 2019, May 19-23, Pittsburgh, PA.

[68] Gangrade, S., S.-C. Kao, T. T. Dullo, and A. J. Kalyanapu (2018), Ensemble-Based Probabilistic Flood Maps for Probable Maximum Flood, American Geophysical Union 2018 Fall Meeting, December 10-14, Washington, D.C.

[67] DeNeale, S. T., S.-C. Kao, E. Yegorova, J. Kanney, and M. L. Carr (2018), A Comparative Evaluation of Precipitation Areal Reduction Factor Variability across the Conterminous United States, American Geophysical Union 2018 Fall Meeting, December 10-14, Washington, D.C.

[66] Dullo, T. T., S. Gangrade, A. J. Kalyanapu, S.-C. Kao, S. K. Ghafoor, and K. J. Evans (2018), High-Resolution Modeling of Hurricane Harvey Flooding for Harris County, TX using a Calibrated GPU-Accelerated 2D Flood Model, American Geophysical Union 2018 Fall Meeting, December 10-14, Washington, D.C.

[65] Shao, M., G. Zhao, C. Holmes, S.-C. Kao, and Huilin Gao (2018), Quantifying the Individual and Combined Impacts of Urbanization and Changing Climate on Hydrological Processes - A Case Study of Two Adjacent Basins in Texas, American Geophysical Union 2018 Fall Meeting, December 10-14, Washington, D.C.

[64] Yuan, F., G. Wang, S.-C. Kao, J. Kumar, V. G. Salmon, C. M. Iversen, A. L. Breen, P. E. Thornton, and S. Wullschleger (2018), Pathways to High Resolution Simulation of Land Surface Processes in Arctic Region: A Case Study on C & N Cycles Using PFLOTRAN Coupled E3SM Land Model (ELM), American Geophysical Union 2018 Fall Meeting, December 10-14, Washington, D.C.

[63] Yang, Y., M. Pan, H. Beck, C. K. Fisher, E. Beighley, S.-C. Kao, Y. Hong, and E. F. Wood (2018), In Quest of Calibration Density and Consistency in Hydrologic Modeling: Distributed Parameter Calibration against Streamflow Characteristics, American Geophysical Union 2018 Fall Meeting, December 10-14, Washington, D.C.

[62] Mao, J., W. Forbes, M. Jin, S.-C. Kao, W. Fu, X. Shi, D. M. Ricciuto, P. E. Thornton, A Ribes, Y. Wang, S. Piao, T. Zhao, C. R. Schwalm, F. Hoffman, J. B. Fisher, A. Ito, B. Poulter, Y. Fang, H. Tian, and A. Jain (2018), Contribution of Climatic and Non-Climatic Forcings to US Runoff Changes for the Period 1950-2010, the 15th Asia Oceania Geosciences Society Annual Meeting, June 3-8, Honolulu, HI.

[61] Gangrade, S., S.-C. Kao, B. S. Naz, D. Rastogi, M. Ashfaq, N. Singh, and B. L. Preston (2018), Evaluating the Sensitivity of Probable Maximum Flood using a High-Resolution Distributed Hydrologic Model, World Environmental & Water Resources Congress 2018, June 3-7, Minneapolis, MN.

[60] Zhao., G., H. Gao, and S.-C. Kao (2018), Impacts of Historical and Future Climate Change on the Blue Water Footprint of Hydropower in the United States, World Environmental & Water Resources Congress 2018, June 3-7, Minneapolis, MN.

[59] Kalyanapu, A. J., T. T. Dullo, S. Gangrade, S.-C. Kao, R. Marshall, S. R. Islam, and S. Ghafoor (2018), Reconstruction of Hurricane Harvey Flooding for Harris County, TX Using a GPU-Accelerated 2D Flood Model for Post-Flood Hazard Analysis, 27th Tennessee Watershed Symposium: Adapting to Hydrologic Extremes, April 11-13, Montgomery Bell State Park, Burns, TN.

[58] Mao, J., W. Forbes, W. Fu, X. Shi, D. M. Ricciuto, M. Jin, and S.-C. Kao (2018), Detection and Attribution of the Terrestrial Runoff in the Conterminous United States, the 98th American Meteorological Society Annual Meeting, January 7-11, Austin, TX.

[57] Kao, S.-C., X. Shi, J. Kumar, D. M. Ricciuto, J. Mao, and P. E. Thornton (2017), Can Earth System Model Provide Reasonable Natural Runoff Estimates to Support Water Management Studies?, American Geophysical Union 2017 Fall Meeting, December 11-15, New Orleans, LA.

[56] Kalyanapu, A. J., T. T. Dullo, S. Gangrade, S.-C. Kao, R. Marshall, S. R. Islam, and S. Ghafoor (2017), Hurricane Harvey Riverine Flooding: Part 1 - Reconstruction of Hurricane Harvey Flooding for Harris County, TX Using a GPU-Accelerated 2D Flood Model for Post-Flood Hazard Analysis, American Geophysical Union 2017 Fall Meeting, December 11-15, New Orleans, LA.

[55] Chegwidden, O., B. Nijssen, D. Rupp, M. Clark, and S.-C. Kao (2017), How Do the Methodological Choices of Your Climate Change Study Affect Your Results? A Hydrologic Case Study Across the Pacific Northwest, American Geophysical Union 2017 Fall Meeting, December 11-15, New Orleans, LA.

[54] Karakullukcu, R. E., F. T.-C. Tsai, D. Bhatta, K. Paudel, and S.-C. Kao (2017), Development of A Mississippi River Alluvial Aquifer Groundwater Model, American Geophysical Union 2017 Fall Meeting, December 11-15, New Orleans, LA.

[53] Dullo, T. T., S. Gangrade, R. Marshall, S. R. Islam, S. Ghafoor, S.-C. Kao, and A. J. Kalyanapu (2017), A Large-Scale Simulation of Climate Change Effects on Flood Regime - A Case Study for the Alabama-Coosa-Tallapoosa River Basin, American Geophysical Union 2017 Fall Meeting, December 11-15, New Orleans, LA.

[52] Kao, S.-C., D. Rastogi, M. Ashfaq, R. Mei, E. D. Kabela, S. Gangrade, B. S. Naz, B. L. Preston, N. Singh, and V. G. Anantharaj (2017), Assessing the Effects of Climate Change on Probable Maximum Precipitation through Numerical Weather Simulation, World Environmental & Water Resources Congress 2017, May 21-25, Sacramento, CA.

[51] Dullo, T., S. Gangrade, R. Marshall, S. R. Islam, S. Ghafoor, S.-C. Kao, B. L. Preston, and A. J. Kalyanapu (2017), The Vulnerability of Critical Energy Infrastructures to Climate Change Induced Flooding: A Case Study for the Alabama-Coosa-Tallapoosa River Basin, World Environmental & Water Resources Congress 2017, May 21-25, Sacramento, CA.

[50] Kao, S.-C., B. S. Naz, S. Gangrade, M. Ashfaq, and D. Rastogi (2016), Sensitivity of Hydrologic Extremes to Spatial Resolution of Meteorological Forcings: A Case Study of the Conterminous United States, American Geophysical Union 2016 Fall Meeting, December 12-16, San Francisco, CA.

[49] Gangrade, S., S.-C. Kao, D. Rastogi, M. Ashfaq, B. S. Naz, E. D. Kabela, V. Anantharaj, N. Singh, B. L. Preston, and R. Mei (2016), Evaluation of Probable Maximum Precipitation and Flood under Climate Change in the 21st Century, American Geophysical Union 2016 Fall Meeting, December 12-16, San Francisco, CA.

[48] Kalyanapu, A. J., T. T. Dullo, S. Gangrade, R. Marshall, S. R. Islam, S. K. Ghafoor, S.-C. Kao, and B. L. Preston (2016), Development of an Integrated DHSVM-Flood2D-GPU modeling framework - A Case Study for the Alabama-Coosa-Tallapoosa River Basin, American Geophysical Union 2016 Fall Meeting, December 12-16, San Francisco, CA.

[47] Pasha, M. F. K., S. Kamuni, D. Yeasmin, S.-C. Kao, and B. T. Smith (2016), Development of Regression Equations to Estimate Regional Hydropower Potential, HydroVision International 2016, July 26-29, Minneapolis, MN.

[46] Gangrade, S., S.-C. Kao, B. S. Naz, M. Ashfaq, and D. Rastogi (2016), Evaluating the Uncertainties of Future Water Availability Projections through the Choice of Different Hydrologic Models, World Environmental & Water Resources Congress 2016, May 22-26, West Palm Beach, FL.

[45] Naz, B. S., S.-C. Kao, M. Ashfaq, D. Rastogi, R. Mei, and S. Gangrade (2016), Assessing Hydrological Impacts of Climate Change in the United States: Implication for Hydropower Facilities, World Environmental & Water Resources Congress 2016, May 22-26, West Palm Beach, FL.

[44] Zhao, G., H. Gao, B. S. Naz, S.-C. Kao, and N. Voisin (2016), Evaluating Water Supply Resilience under Future Droughts and Population Growth, World Environmental & Water Resources Congress 2016, May 22-26, West Palm Beach, FL.

[43] Pagán, B., M. Ashfaq, D. Rastogi, S.-C. Kao, B. S. Naz, R. Mei, D. Kendall, and J. Pal. (2016), Extreme Hydrological Changes in the Western United States Drive Reductions in Water Supply by Mid Century, European Geosciences Union General Assembly 2016, April 17-22, Vienna, Austria.

[42] Zhao, G., H. Gao, B. S. Naz, S.-C. Kao, and N. Voisin (2016), Survivability of Megacities Under the Impacts of Future Drought and Population Growth, Texas Weather Conference, February 5-6, Austin, TX.

[41] Gadiraju, K., B. Ramachandra, D. Kaiser, T. Karnowski, S.-C. Kao, T. Jiang, S. Ostro, and Raju Vatsavai (2016), A Machine-Learning Approach to Studying Relationships Between Extremes in Geopotential Height and Surface Temperature, the 96th American Meteorological Society Annual Meeting, January 10-14, New Orleans, LA.

[40] Kao, S.-C., B. S. Naz, and S. Gangrade (2015), Sensitivity of Regional Hydropower Generation to the Projected Changes in Future Watershed Hydrology, American Geophysical Union 2015 Fall Meeting, December 14-18, San Francisco, CA.

[39] Hayes, B., S.-C. Kao, J. Kanney, K. Quinlan, and S. DeNeale (2015), Site Specific Probable Maximum Precipitation Estimates and Professional Judgement, American Geophysical Union 2015 Fall Meeting, December 14-18, San Francisco, CA.

[38] Gangrade, S., D. Rastogi, S.-C. Kao, M. Ashfaq, B. S. Naz, E. D. Kabela, V. Anantharaj, N. Singh, B. L. Preston, and R. Mei (2015), An Integrated Modeling Framework for Probable Maximum Precipitation and Flood, American Geophysical Union 2015 Fall Meeting, December 14-18, San Francisco, CA.

[37] Ashfaq, M., D. Rastogi, R. Mei, S.-C. Kao, B. S. Naz, and S. Gangrade (2015), Near-Term Intensification of the Hydrological Cycle in the United States, American Geophysical Union 2015 Fall Meeting, December 14-18, San Francisco, CA.

[36] Dullo, T., A. Kalyanapu, S. Ghafoor, R. Marshall, K. Tindall, V. Anantharaj, S.-C. Kao, and S. Gangrade (2015), Computational Performance of an OpenMP-Enabled, MPI-Enabled and GPU-Accelerated Two-Dimensional Flood Model, American Geophysical Union 2015 Fall Meeting, December 14-18, San Francisco, CA.

[35] Zhao, G., H. Gao, B. S. Naz, S.-C. Kao, and N. Voisin (2015), Sensitivity of Reservoir Storage and Outflow to Climate Change in a Water-Limited River Basin, American Geophysical Union 2015 Fall Meeting, December 14-18, San Francisco, CA.

[34] Pagán, B., M. Ashfaq, D. Rastogi, B. S. Naz, S.-C. Kao, R. Mei, D. Kendall, and J. Pal (2015), Increased Extreme Hydrological Events and Decreased Water Supply Availability for the Southwestern United States Projected by Mid-Century, American Geophysical Union 2015 Fall Meeting, December 14-18, San Francisco, CA.

[33] Chalise, D. R., P. O'Connor, S. DeNeale, R. Uría Martínez, and S.-C. Kao (2015), LCOE Uncertainty Analysis for Hydropower Using Monte Carlo Simulations, HydroVision International 2015, July 14-17, Portland, OR.

[32] Pasha, M. F. K., L. Rowan, D. Yeasmin, S.-C. Kao, and B. T. Smith (2015), Development of a Geospatial Diversion Model for Hydropower Resource Assessment, HydroVision International 2015, July 14-17, Portland, OR.

[31] Gangrade, S., B. S. Naz, S.-C. Kao, M. Ashfaq, R. Mei, D. Rastogi, B. L. Preston, E. D. Kabela, N. Singh, and V. Anantharaj (2015), High Resolution Distributed Hydrological Modeling for Extreme Flood Events, World Environmental & Water Resources Congress 2015, May 17-21, Austin, TX.

[30] Zhao, G., H. Gao, B. S. Naz, and S.-C. Kao (2015), Integrating Reservoir Flow Regulation Rules into a Spatially Distributed Hydrological Model, World Environmental & Water Resources Congress 2015, May 17-21, Austin, TX.

[29] Dullo, T., A. Kalyanapu, S. Ghafoor, V. Anantharaj, R. Marshall, J. Tatarczuk, and S.-C. Kao (2015), Computational Performance of a Two-Dimensional Flood Model in Single and Multiple GPU Frameworks, European Geosciences Union General Assembly 2015, April 12-17, Vienna, Austria.

[28] Kao, S.-C., B. S. Naz, S. Gangrade, M. Ashfaq, R. Mei, and D. Rastogi (2014), Projection of Climate Change Impacts on Watershed Storage and Hydropower Generation, American Geophysical Union 2014 Fall Meeting, December 14-19, San Francisco, CA.

[27] Naz, B. S., S.-C. Kao, M. Ashfaq, S. Gangrade, R. Mei, and D. Rastogi (2014), Climate Change Impacts on Reservoir Inflow in the United States, American Geophysical Union 2014 Fall Meeting, December 14-19, San Francisco, CA.

[26] Ashfaq, M., D. Rastogi, R. Mei, S.-C. Kao, B. S. Naz, and S. Gangrade (2014), Ultra High-Resolution Ensemble Projections of the Near-Term Climate Change over the U.S., American Geophysical Union 2014 Fall Meeting, December 14-19, San Francisco, CA.

[25] Naz, B. S., S.-C. Kao, M. Ashfaq, R. Mei, R. Deeksha, and L. C. Bowling (2014), Historical and Future Hydrologic Change in the Conterminous United States, American Water Resources Association 2014 Annual Water Resources Conference, November 3-6, Vienna, VA.

[24] DeNeale, S. T., Q. F. Zhang, P. W. O'Connor, and S.-C. Kao (2014), Statistical Characteristics of US Hydropower Plant Capacity Factors, HydroVision International 2014, July 22-25, Nashville, TN.

[23] Pasha, M. F. K., M. Yang, D. Yeasmin, F. Amin, S.-C. Kao, and B. T. Smith (2014), Sensitivity of Spatial Resolution in Hydropower Resource Assessment, HydroVision International 2014, July 22-25, Nashville, TN.

[22] Kao, S.-C., D. Rastogi, B. S. Naz, M. Ashfaq, B. L. Preston, E. D. Kabela, Rui Mei and N. Singh (2014), Towards the Development of an Integrated Energy-Water Risk Assessment Tool for Probable Maximum Precipitation and Flood, World Environmental & Water Resources Congress 2014, June 1-5, Portland, OR.

[21] Naz, B. S., S.-C. Kao, M. Ashfaq and R. Mei (2014), Projecting the Potential Impacts of Climate Change on Water Resources for the Conterminous United States through High Resolution Hydro-Meteorological Simulation, the 94th American Meteorological Society Annual Meeting, February 2-6, Atlanta, GA.

[20] Ashfaq, M., S.-C. Kao, R. Mei, D. Touma, D. Rastogi, S. M. Absar and B. S. Naz (2014), Ultra High-Resolution Near-Term Hydro-Meteorological Projections and Impact Assessments Over the United States and South Asia, the 94th American Meteorological Society Annual Meeting, February 2-6, Atlanta, GA.

[19] Ostro, S., D. Huber, J. H. Casola, D. Kaiser, T. P. Karnowski, V. C. Paquit, S.-C. Kao, J. Francis and J. Gulledge (2014), Characterizing Anomalous Mid-Tropospheric Ridges and Their Trends, the 94th American Meteorological Society Annual Meeting, February 2-6, Atlanta, GA.

[18] Kao, S.-C., B. Naz, M. Ashfaq, and R. Mei (2013), Refining the Resolution of Future Energy-Water Projection through High Performance Computing (invited), American Geophysical Union 2013 Fall Meeting, December 9-13, San Francisco, CA.

[17] Kao, S.-C., A. A. Oubeidillah, and M. F. K. Pasha (2013), Performance Evaluation of Monthly Streamflow Time Series Synthesized through USGS WaterWatch Runoff and NHDPlus River Network, World Environmental & Water Resources Congress 2013, May 19-23, Cincinnati, OH.

[16] Oubeidillah, A. A., S.-C. Kao, and M. Ashfaq (2012), A Hydrologic Model Calibration Exercise for Regional Climate Change Impact Assessment of the Conterminous U.S., American Geophysical Union 2012 Fall Meeting, December 3-7, San Francisco, CA.

[15] Kao, S.-C., M. Ashfaq, M. J. Sale, A. A. Oubeidillah, and N. Diffenbaugh (2012), A Quantitative Assessment Framework for Potential Climate Change Impacts on Regional Hydropower Generation, World Environmental & Water Resources Congress 2012, May 20-24, Albuquerque, NM.

[14] Kao, S.-C., and N.-B. Chang (2012), Multivariate Flood Frequency Analysis through Copulas in a Partially Gauged Watershed, World Environmental & Water Resources Congress 2012, May 20-24, Albuquerque, NM.

[13] Kao, S.-C., H. K. Kim, C. Liu, X. Cui, and B. L. Bhaduri (2012), A Dependence-Preserving Approach in Synthesizing Household Characteristics, Transpiration Research Board 91st Annual Meeting, January 22-26, Washington, D.C.

[12] Sale, M. J., S.-C. Kao, R. Uría Martínez, and Y. Wei (2011), Estimating the Effects of Climate Change on Federal Hydropower and Power Marketing, HydroVision International 2011, July 19-22, Sacramento, CA.

[11] Kao, S.-C., B. Hadjerioua and Y. Wei (2011), Streamflow Variability and its Potential Impact on Energy Production, World Environmental & Water Resources Congress 2011, May 22-26, Palm Springs, CA.

[10] Hadjerioua, B., S.-C. Kao, M. J. Sale, Y. Wei, H. A. Shanafield III, D. P. Kaiser, S. K. SanthanaVannan, R. Devarakonda, G. Palanisamy and B. T. Smith (2011), National Hydropower Asset Assessment Project: An Integrated Water-Infrastructure Research Platform, World Environmental & Water Resources Congress 2011, May 22-26, Palm Springs, CA.

[9] Kim, H. K., S.-C. Kao, C. Liu, X. Cui and B. L. Bhaduri (2011), Reconstruction of Spatial Distribution of Travelers for Activity-Based Traffic Demand Model Using LandScan USA Data Set, the 2011 Association of American Geographers Annual Meeting, April 12-16, Seattle, WA.

[8] Kao, S.-C. and A. R. Ganguly (2010), Quantifying and Comparing the Intensification of Extreme Rainfall Frequency from NCEP and ERA40 Reanalysis Data, the 90th American Meteorological Society Annual Meeting, January 17-21, Atlanta, GA.

[7] Kao, S.-C. and A. R. Ganguly (2009), Intensification of Droughts in a Warming Environment: Trends, Uncertainties and Possible Impacts, American Geophysical Union 2009 Fall Meeting, December 14-18, San Francisco, CA.

[6] Kao, S.-C., A. R. Ganguly and K. Steinhaeuser (2009), Motivating Complex Dependence Structures in Data Mining: A Case Study with Anomaly Detection in Climate, IEEE ICDM Workshop on Knowledge Discovery from Climate Data: Prediction, Extremes, and Impacts, December 6, Miami, FL, https://doi.org/10.1145/3394277.3401852 (peer-reviewed).

[5] Kao, S.-C., R. S. Govindaraju, and D. Niyogi (2009), A Spatio-Temporal Drought Analysis for the Midwestern US, World Environmental & Water Resources Congress 2009, May 18-21, Kansas City, MO.

[4] Govindaraju, R. S. and S.-C. Kao (2008), Multivariate Precipitation Analyses Using Copulas, American Geophysical Union 2008 Joint Assembly, May 27-30, Fort Lauderdale, FL.

[3] Kao, S.-C. and R. S. Govindaraju (2007), Constructing Design Rainfall Hyetographs Using Trivariate Plackett Family of Copulas, American Geophysical Union 2007 Fall Meeting, December 10-14, San Francisco, CA.

[2] Kao, S.-C. and R. S. Govindaraju (2007), Statistical Analysis of Extreme Rainfall Events over Indiana, USA, World Environmental & Water Resources Congress 2007, May 15-19, Tampa, FL.

[1] Kao, S.-C. and R. S. Govindaraju (2006), Evaluating the Probabilistic Structure of Storm Surface Runoff over Indiana, USA, An International Perspective on Environmental and Water Resources, ASCE, December 18-20, New Delhi, India.

Dissertation / Thesis

Kao, S.-C. (2008), Multivariate Statistical Analysis of Indiana Hydrologic Data, Ph.D. Dissertation, School of Civil Engineering, Purdue University, West Lafayette, IN, USA.

Kao, S.-C. (2001), A Study in Development of Regional Design Hyetographs, Master Thesis, Department of Civil Engineering, National Taiwan University, Taipei, Taiwan.

Home | Education | Research | Publications | Presentations

This site was last updated 12/17/24