·Renard, B., Sun, X., and Lang, M. (2013), Bayesian Methods for Non-stationary Extreme Value Analysis, in Extremes in a Changing Climate: Detection, Analysis and Uncertainty, edited by A. AghaKouchak, D. Easterling, K. Hsu, S. Schubert and S. Sorooshian, pp. 39-95, Springer Netherlands.
·Wang, S., Sun, X*, Lall, U., （2017）Residential electricity demand prediction during summer season across USA, Energy.
·Yuan, X., Sun, X, Zhao, W., Mi, Z., Wang, B.,Wei, Y.*(2017), Forecasting China’s regional energy demand by 2030: A Bayesian approach,Resources Conservation and Recycling, 127, 85-95.
·Morón, S., Amos, K., Edmonds, D.A., Payenberg, T., Sun, X., Thyer, M. (2017), Avulsion triggering by El Niño-Southern Oscillation and tectonic forcing on the tropical Magdalena River, Colombia, The Geological Society of America Bulletin.
·Ho, M., Lall, U., Sun, X., Cook, E. (2017), Multiscale temporal variability and regional patterns in 555 year of conterminous US streamflow, Water Resources Research, 53, 3047–3066.
·Zeng, H., Sun X.*, Lall, U., Fang, P. (2017), Extreme rainfall and flood predictions for Xidayang Reservoir in North China using climate informed Bayesian approaches, International Journal of Climatology, 37: 3810–3820.
·Yuan, X., Sun, X, Lall, U., Mi, Z., He, J., Wei, Y. (2016), China’s socioeconomic damage risk from extreme events in a changing climate: a hierarchical Bayesian model, Climatic Change, 139(2): 169-181.
·Sun, X.*, Renard, B., Thyer, M., Westra S., Lang, M. (2015), A global analysis of the asymmetric effect of ENSO on extreme precipitation, Journal of Hydrology, Volume 530, November 2015, Pages 51-65.
·Sun, X.*, Lall, U., Merz, B., Dung, N.V. (2015), Hierarchical Bayesian clustering for nonstationary flood frequency analysis: Application to trends of annual maximum flow in Germany. Water Resources Research, 51(8), 6586–6601.
·Sun, X.*, Lall, U. (2015), Spatially coherent trends of annual maximum daily precipitation in the United States, Geophysical Research Letters, 42(22), 9781–9789. Featured in EOS Research spotlight.
·Sun, X.*, Thyer, M., Renard, B., Lang, M. (2014), A general regional frequency analysis framework for quantifying local-scale climate effects: A case study of ENSO effects on Southeast Queensland rainfall, Journal of Hydrology, Volume 512, 6 May 2014, Pages 53-68.
·Sun, X., (2017), co-convener of the session NH005. Dams and Reservoirs - Natural Hazards, Risks, and Solutions, American Geophysical Union, 2017 Fall Meeting, 11–15 December 2017, New Orleans, USA.
·Sun, X., (2017), Convener of the session HS5.9/CL2.17/CR6.9/NH1.9, Water infrastructure risks under climate variability and change: role of data analysis, operating approaches, hydro-meteorological and multi-sectoral forecasts. European Geosciences Union General Assembly 2017, 23–28 April 2017, Vienna, Austria.
·Sun, X., Russo, T., Wu, H., Lall, U. (2016), Spatio-temporal variation of the extreme precipitation in California. American Geophysical Union Fall Meeting 2016, 12-16 Dec 2016, San Francisco, USA. (poster)
·Sun, X., Lall, U., (2016), Climate risks to potato yields in Europe. European Geosciences Union General Assembly 2016, 18-22 April 2016, Vienna, Austria. (poster)
·Sun, X., Lall, U., Merz, B., Dung, N.V. (2015), A non-stationary Bayesian clustering framework for Identifying regional hydro-climate trends from large scale data. 26th IUGG General assembly 2015, 22 June-2 July, 2015, Prague, Czech Republic. (talk)
·Sun, X., Lall, U. (2014), A Bayesian Hierarchical framework for identifying regional hydroclimate trends or climate effects from continental or global data. American Geophysical Union Fall Meeting 2014, 15-19 Dec 2014, San Francisco, USA. (poster)
·Sun, X., Renard, B., Thyer, M., Westra S., Lang, M. (2013), An analysis of ENSO impact on global extreme rainfall using a Bayesian regional model. European Geosciences Union General Assembly 2013, 07-12 April 2013, Vienna, Austria. (poster)
·Sun, X., Thyer, M., Renard, B., Lang, M. (2012), Bayesian methods for non-stationary frequency analysis: impact of ENSO on maximum daily rainfall in Australia. Advanced Methods for Flood Estimation in a Variable and Changing Environment, organized as a Mid-term Conference of COST ES0901 ‘FloodFreq’ Action, 24-26 October 2012, Volos, Greece. (talk)
·Sun, X., Renard, B. and Lang, M. (2011). A Bayesian Analysis of Extreme Precipitation in Mediterranean France Using Non-Stationary GEV Models. 7th Conference on Extreme Value Analysis, Probabilistic and Statistical Models and their Applications, June 27th -July 1st, 2011, Lyon, France. (talk)
·Sun, X., Renard, B. and Lang, M. (2011). A Bayesian Analysis of Extreme Precipitation in Mediterranean France Using Non-Stationary GEV Models. Workshop, Environmental Risk and Extreme Events, 10-15 July 2011, Ascona, Switzerland. (talk)
Updated on 1 Sep 2017