Shih‐Chieh Kao - Concepedia

Author

Shih‐Chieh Kao

Also Known As

Kao, S-C., Kao, S.; Monahan, J.F., Kao, Shih-Chieh, S. Kao, S.-C. Kao, S.‐C. Kao, Shih-Chieh Kao, Shih‐Chieh Kao, USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office

264

Publications

6.3K

Citations

H-Index

134

Concepts

All Affiliations

Oak Ridge National Laboratory Texas A&M University University of Tennessee at Knoxville Tennessee Technological University Pacific Northwest National Laboratory

About

Shih‐Chieh Kao is an author at Oak Ridge National Laboratory specializing in engineering, geography, and hydrology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	35	59	4.6K
2	Social Sciences	7	7	258
3	Business	3	3	265
4	Management	1	1	24
5	Biostatistics	1	1	57

Shih‐Chieh Kao

Publications

5.8K

Citations

H-Index

Page 1

	Year	Citations
A copula-based joint deficit index for droughts Shih‐Chieh Kao, Rao S. Govindaraju Journal of Hydrology EngineeringDroughtDrought AnalysisDrought Risk ManagementDrought Management	2009	608
A multi-model and multi-index evaluation of drought characteristics in the 21st century Danielle Touma, Moetasim Ashfaq, Munir Ahmad Nayak, Journal of Hydrology	2014	402
Lack of uniform trends but increasing spatial variability in observed Indian rainfall extremes Subimal Ghosh, Debasish Das, Shih‐Chieh Kao, Nature Climate Change HydrometeorologyMeteorologyClimatologyEngineeringDrought	2011	333
Gridded daily weather data for North America with comprehensive uncertainty quantification Peter Thornton, R. Shrestha, Michele Thornton, Scientific Data EngineeringPuerto RicoWeather ForecastingPresent Daymet V4Uncertain Data	2021	265
Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 4 Michele Thornton, R. Shrestha, Y. Wei, Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics	2020	258
Trivariate statistical analysis of extreme rainfall events via the Plackett family of copulas Shih‐Chieh Kao, Rao S. Govindaraju Water Resources Research Copulas PerformEngineeringExtreme WeatherHydrologic EngineeringWeather Forecasting	2008	233
Machine learning assisted hybrid models can improve streamflow simulation in diverse catchments across the conterminous US Goutam Konapala, Shih‐Chieh Kao, Scott Painter, Environmental Research Letters	2020	226
Climate Change and Changes in Compound Coastal‐Riverine Flooding Hazard Along the U.S. Coasts Mahshid Ghanbari, Mazdak Arabi, Shih‐Chieh Kao, Earth s Future EngineeringCoastal ModelingFlood ControlHydrologic HazardCoastal Hydrodynamics	2021	165
How Do Modeling Decisions Affect the Spread Among Hydrologic Climate Change Projections? Exploring a Large Ensemble of Simulations Across a Diversity of Hydroclimates O. Chegwidden, Bart Nijssen, David E. Rupp, Earth s Future Future Climatic ChangeEngineeringClimate ModelingEarth ScienceAbstract Methodological Choices	2019	157
Integrating a reservoir regulation scheme into a spatially distributed hydrological model Gang Zhao, Huilin Gao, Bibi S. Naz, Advances in Water Resources EngineeringWater ResourcesReservoir Regulation SchemeGeographyDistributed Hydrological Model	2016	154

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