Ph.D. Texas A&M University, College Station, Texas 01/ /2013 Major: Hydrology Advisor: Vijay P. Singh
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1 UPDATED: 1020/2017 CHAO LI Research Associate Pacific Climate Impacts Consortium, University of Victoria Victoria, British Columbia, Canada, V8N 6M2. Phone: RESEARCH INTERESTS 1. Weather and climate extremes 2. Climate change detection and attribution 3. Stochastic simulation of precipitation and streamflow 4. Hydrometric network evaluation and design 5. Geostatistical mapping EDUCATION Ph.D. Texas A&M University, College Station, Texas 01/ /2013 Major: Hydrology Advisor: Vijay P. Singh M.S. Tsinghua University, Beijing, China 08/ /2009 Major: Hydrology B.S. Lanzhou University, Lanzhou, China 08/ /2006 Major: Hydrology and Water Resources Engineering WORKING EXPERIENCE 1. Research Associate 08/2016 present Pacific Climate Impacts Consortium University of Victoria, Canada 2. Barbara McClintock Postdoctoral Fellow 01/ /2016 Department of Global Ecology, Carnegie Institution for Science at Stanford University 3. Postdoctoral Research Associate 07/ /2014 Department of Global Ecology, Carnegie Institution for Science at Stanford University 1 P age
2 4. Graduate Research Assistant 01/ /2013 Department of Biological and Agricultural Engineering, Texas A&M University 5. Research Assistant 07/ /2009 Department of Hydraulic Engineering, Tsinghua University 6. Graduate Research Assistant 08/ /2009 Department of Hydraulic Engineering, Tsinghua University TEACHING EXPERIENCE 1. Assisted in teaching a graduate level course at Texas A&M University on a topic regarding entropy theory-based hydrometric network evaluation and design, Fall Semester, ACADEMIC SERVICE Journal Reviews Reviewed more than 100 manuscripts for more than 10 journals including Nature Climate Change, Scientific Reports, Earth and Space Science, Geophysical Research Letters, Environment Research Letters, Water Resources Research, Journal of Hydrology, Hydrology and Earth System Sciences, Water Resources Management, Journal of Hydro-environment Research, Hydrology Research, Journal of Geophysical Research, Climate Research, Climate Dynamics, Weather and Climate Extremes, PLOS-ONE, Natural Hazards, Water Science and Technology. HONORS & AWARDS 1. Barbara McClintock Fellowship [2015], Carnegie Institution for Science at Stanford University. 2. Graduate Student Research and Presentation Grant [2012], Texas A&M University. 3. Graduate Student Association Travel Award [2012], Department of Biological and Agricultural Engineering, Texas A&M University. 4. Bill A. and Rita L. Stout International Graduate Student Achievement Award [2012], Department of Biological and Agricultural Engineering, Texas A&M University. 5. Prize of Excellent Individual and Thesis in Summer Social Practice [2005], Lanzhou University, China. 6. Scholarship for Excellent Students [2003, 2004, 2005], Lanzhou University, China. PUBLICATIONS Journal Papers (* for corresponding author) 1. *Li, C., Y. Y. Fang, K. Caldeira, X. B. Zhang, N. S. Diffenbaugh, and A. M. Michalak, 2017, 2 P age
3 Widespread, persistent changes to temperature extremes have occurred earlier than predicted, in review by Scientific Reports. 2. J. Chen, C. Li, F. Brissette, H. Chen, M. Wang, and G. Essou, 2017, Impacts of correcting the inter-variable correlation of climate model outputs on hydrological modeling, in review by Journal of Hydrology. 3. *Li, C., X. B. Zhang, F. Zwiers, Y. Y. Fang, and A. M. Michalak, 2017, Recent very hot summers measured by wet bulb globe temperature will be the norm within 20 years, Earth s Future, doi: /2017ef000639, in press. 4. Z. Liu, C. Li, P. Zhou, and X. Chen, 2016, A probabilistic assessment of the likelihood of vegetation drought under varying climate conditions across Chine, Scientific Reports, 6, 35105, doi: /srep *Li, C., E. Sinha, D. E. Horton, N. S. Diffenbaugh, and A. M. Michalak, 2015, Joint bias correction of temperature and precipitation in climate model simulations, Journal of Geophysical Research Atmospheres, 119, doi: /2014jd *Li, C. and V. P. Singh, 2014, A multi-model regression-sampling algorithm for generating rich monthly streamflow scenarios, Water Resources Research, 50, doi: /2013wr * Li, C., V. P. Singh, and A. K. Mishra, 2013, Monthly river flow simulation with a joint conditional density estimation network, Water Resources Research, 49, doi: /wrcr * Li, C., V. P. Singh, and A. K. Mishra, 2013, A bivariate mixed distribution with a heavy-tailed component and its application for single-site daily rainfall simulation, Water Resources Research, 49, doi: /wrcr * Li, C., V. P. Singh, and A. K. Mishra, 2012, Entropy theory-based criterion for hydrometric network evaluation and design: Maximum information minimum redundancy, Water Resources Research, 48, doi: /2011wr * Li, C., V. P. Singh, and A. K. Mishra, 2012, Simulation of the entire range of daily precipitation using a hybrid probability distribution, Water Resources Research, 48, W03521, doi: /2011wr Yang, Y., S. Shang, and C. Li, 2010, Correcting the smoothing effect of ordinary Kriging estimates in soil moisture interpolation, Advances in Water Science, 21(2), (in Chinese). 12. Yamamoto, J. K., and C. Li, 2009, Comparacão de métodos para teste de bigaussian dade, revista Geociências (coded the computation program). 13. * Li, C., S. Shang, F. Yi, and C. Sun, 2009, Uncertainty analysis of sample semivariogram for field soil water content and its application, Journal of Sichuan University, 41(S2), Oral Presentations & Invited talks 1. Li, C., Bridging the gap between climate models and impact models: multivariate bias corretion of climate model simulations, Invited talks at Tsinghua University, Sun Yat-Sen University, and Institute of Geographic Sciences and Natual Resources Research, CAS, December P age
4 2. Li, C., E. Sinha, D. E. Horton, N. S. Diffenbaugh, and A. M. Michalak, Joint bias correction of temperature and precipitation in climate model simulations, Oral presentation at 2014 AGU Fall Meeting, December 2014, San Fransisco, CA, USA. 3. Li, C., Joint bias correction of climate model simulations: an advanced step in climate change impact projections, Invited talk at Environment Canada, December 2014, Toronto, Ontario, Canada. 4. Li, C., Addressing Problems in Hydrology, Water Resources and Climate change using Statstics, Invited talks at Nanjing University, Nanjing Hydraulic Research Institute, and Tongji University, September Li, C., S. Shang, Uncertainty analysis of sample semivariogram for field soil water content and its application, Oral presentation at International Symposium of IAHS-PUB and 2nd International Symposium of CHINA-PUB, Chengdou, Sichuan, China, December Poster Presentations 1. Li, C. and A. M. Mchalak, A nested kernel density estimator for improved characterization of precipitation extremes, 2013 AGU Fall Meeting, December 2013, San Francisco, CA, USA. 2. Li, C., A. K. Mishra, and V. P. Singh, Stochastic model for hydrologic drought prediction under climate change scenarios, AGU Fall Meeting, 6th December 2012, San Francisco, CA, USA. 3. Li, C., V. P. Singh, and A. K. Mishra, Towards a probabilistic model for monthly river flow: synthesizing and downscaling, 2012 Student Research Week at Texas A&M University. Software packages 1. RGEV: R package for extreme modeling with non-stationary regional extreme value theory. 2. TOE: MATLAB functions to estimate the time of emergence of climate signals. 3. MATLAB_Daymet: MATLAB functions to download and merge Daymet data archived at ORNL. 4. JBC: MATLAB functions for joint bias correction of climate model simulations. 5. HydroMIMR: MATLAB toolkit for hydrometric monitoring network design. 6. Copura: MATLAB functions for modeling multivariate dependence with ten different copulas. 7. Hybrid: MATLAB functions for modeling the probability distribution of heavy-tailed precipitation. 4 P age
5 REFEREE Dr. Francis Zwiers Pacific Climate Impacts Consortium University of Victoria, Canada Dr. Xuebin Zhang Climate Research Division Environment and Climate Change Canada, Canada Dr. Vijay P. Singh Department of Biological and Agricultural Engineering Texas A&M University, USA 5 P age
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