Presentations
1. Yuan, X., 2018: High Resolution Land Surface Modeling of Hydrological Extremes. The Robert Dickinson Symposium on EarthSystem Modeling: Past, Present and Future, Austin, TX, May 14-15. (oral)
2. Yuan, X., W. Dorigo, and M. Pan, 2018: Merging of microwave remote sensing andland surface modeling of soil moisture for regional and global drought analysis.AMS 98th Annual Meeting, Austin,TX, Jan. 7-11. (oral)
3. Yuan, X., S. Wang, and Z.-Z. Hu, 2017: Causality and sub-seasonal predictabilityof the 2016 Yangtze River extreme rainfall. NOAA’s42ndClimate Diagnostics and Prediction Workshop, Norman, OK, USA,Oct. 23-26. (oral)
4. Yuan, X., 2017:Multi-scale drought processes and prediction under global change (全球变化背景下的多尺度干旱过程及预测). Department of Atmospheric and OceanicSciences, Peking University, Beijing, Oct. 11.(seminar)
5. Yuan, X., 2017: Probabilisticsub-seasonal to seasonal forecasting of hydrological drought in a changingenvironment. IAHS Scientific Assembly2017, Port Elizabeth, South Africa, Jul. 10-14. (oral)
6. Yuan, X., 2017: Impactof anthropogenic climate change on flash drought over southern Africa. AMS 23rdConference on AppliedClimatology, Asheville, NC, USA, Jun. 26-28. (oral)
7. Yuan, X., 2016: Attribution and prediction of China droughts across scales. NOAA’s 41st Climate Diagnostics andPrediction Workshop, Orono, ME, USA, Oct. 3-6. (oral)
8. Yuan, X., 2016: Attribution and prediction of droughts across scales. The 3rd CSSP China Annual Workshop, Exeter,UK, Sep. 5-7. (oral)
9. Yuan, X., 2016: Merging of ESA CCI soil moisture retrieval andmodel reanalysis for a global drought analysis. ESA CCI Soil Moisture User Workshop, Noordwijk, The Netherlands,Apr. 28-29. (oral)
10. Yuan, X., and L.Wang, 2016: Sub-seasonal forecasting of flash droughts in China. EGU General Assembly, Vienna, Austria, Apr. 17-22. (oral)
11. Yuan, X., 2015: Understanding andSeasonal Forecasting of Flash Droughts, Sino-Dutchworkshop on drought mechanisms, Nanjing, China, Nov. 2-3. (oral)
12. Yuan, X., 2015: Microwaveremote sensing of drought onset and recovery over global major river basins. Earth Observation for Water Cycle Science,Frascati, Italy, Oct. 20-23. (oral)
13. Yuan, X., 2015: Areview on climate-model-based seasonal hydrologic forecasting. Water Resources Assessment and SeasonalPrediction, Koblenz, Germany, Oct. 13-16. (oral)
14. Yuan, X., 2015: Monitoring and seasonal forecasting ofdroughts in China. Our Common Futureunder Climate Change (CFCC) Conference, Paris, France, Jul. 7-10. (oral)
15. Yuan, X., 2015: Microwave remote sensing of flash droughtsduring crop growing seasons. EGUGeneral Assembly, Vienna, Austria, Apr. 12-17. (oral)
16. Yuan, X., E. F. Wood, M. Liang, 2014: Developing a SeamlessHydrologic Forecast System: Integrating weather and climate prediction. EGUGeneral Assembly, Vienna, Austria, Apr. 27-May 2. (oral)
17. Yuan, X., 2014:Hydrometeorological Drought Prediction and Predictability under a ChangingEnvironment. Department of Earth SystemScience, University of California, Irvine, CA, Mar. 20. (seminar)
18. Yuan, X., 2014: Seasonal DroughtPrediction and Predictability. Departmentof Geological Sciences, Indiana University, Bloomington, IN, Feb. 28. (seminar)
19. Yuan, X., 2014: Modelingaquifer-atmosphere interaction in a changing environment. Department of Geological Sciences, Indiana University,Bloomington, IN, Feb. 27.(seminar)
20. Yuan, X., and E. F. Wood, 2013: The role of climate models in global seasonalhydrologic forecasting. AGU Chapman Conference on Seasonal to InterannualHydroclimate Forecasts and Water Management, Portland, OR, Jul. 28-31.(oral)
21. Yuan, X., and E. F.Wood, 2013: Multi-model seasonal forecasting of global drought onset. WCRPInternational workshop on seasonal to decadal prediction, Toulouse, France,May 13-16. (oral)
22. Yuan, X., 2013: Highresolution hydroclimate modeling: subsurface model development,aquifer-atmosphere interaction, and seasonal hydrologic forecast. Departmentof Hydraulic Engineering, Tsinghua University, Beijing, China, Apr. 3.(seminar)
23. Yuan, X.,2013: Dynamic-model-based seasonal hydroclimatic forecasting. Stony BrookUniversity-SUNY, School of Marine and Atmospheric Sciences,Stony Brook, NY, Jan. 30. (seminar)
24. Yuan, X., E.F. Wood, J.K. Roundy, and M. Pan, 2012: CFSv2-basedseasonal hydroclimatic forecasts over conterminous United States. AGU Fall Meeting, SanFrancisco, CA, Dec. 3-7. (oral)
25. Yuan, X., E.F. Wood, andJ.K. Roundy, 2012: Optimal Bayesian downscaling CFSv2 for hydrological seasonalforecast over CONUS. AMS 92nd Annual Meeting, New Orleans, LA, Jan.22-26. (oral)
26. Yuan,X., E.F. Wood, and X.-Z.Liang, 2011: Dynamical downscaling seasonal forecasts of winter precipitationover US and China. Early Career Scientist Assembly Workshop, Boulder,CO, Oct. 19-22. (oral)
27. Yuan,X., and X.-Z. Liang,2010: CWRF incorporation of a conjunctive surface-subsurface process model toimprove seasonal-to-interannual hydroclimate forecasts. Proceedings of the 11th Annual WRF User’s Workshop, Boulder, CO, Jun. 21-25. (oral)
28. Yuan,X., Z. Xie, and J. Zheng,2007: Effects of water table dynamics on regional climate. The 6th University Allied Workshop for Climate andEnvironmental Modelling, Beijing, China, Jun. 18-20. (oral)
29. Yuan,X., and Z. Xie, 2006: Astatistical method for recovering the shallow water table depths in China. ECCE Summer School for Advanced Study inClimate and Environment, Beijing, China. (oral)