近期论文
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Ma, Y., Sun, X.*, Chen, H., Hong, Y., Zhang, Y. (2021) A two-stage blending approach for merging multiple satellite precipitation estimates and rain gauge observations: an experiment in the northeastern Tibetan Plateau, Hydrol. Earth Syst. Sci., 25, 359-374. https://doi.org/10.5194/hess-25-359-2021 (IF=4.94)
Qin, Y., Sun, X.*, Li, B., Merz, B. (2021) A nonlinear hybrid model to assess the impacts of climate variability and human activities on runoff at different time scales. Stochastic Environmental Research and Risk Assessment. https://doi.org/10.1007/s00477-021-01984-4 (IF=2.35)
Zeng, P., Sun, X.*, Farnham, D.J. (2020) Skillful statistical models to predict seasonal wind speed and solar radiation in a Yangtze River estuary case study. Sci Rep 10, 8597. https://doi.org/10.1038/s41598-020-65281-w ((IF=4.01)
Su, Z., Sun, X.*, Devineni, N., Lall, U., Hao, Z., Chen, X. (2020) The effects of pre-season high flows, climate, and the Three Gorges Dam on low flow at the Three Gorges Region, China. Hydrological Processes. 34: 2088-2100. https://doi.org/10.1002/hyp.13714 (IF=3.19)
Su, Z., Ho, M., Hao, Z., Lall, U., Sun, X., Chen, X., Yan, L. (2020) The impact of the three gorges dam on summer streamflow in the yangtze river basin. Hydrological Processes.34: 705– 717. https://doi.org/10.1002/hyp.13619 (IF=3.19)
Huang, Y., Sun, X., Liu, M., Zhu, J., Yang, J., Du, W., Zhang, X., Gao, D., Qadeer, A., Xie, Y., Nie, N. (2019) A multimedia fugacity model to estimate the fate and transport of polycyclic aromatic hydrocarbons (PAHs) in a largely urbanized area, Shanghai, China. Chemosphere. Feb;217:298-307. https://doi.org/10.1016/j.chemosphere.2018.10.172 (IF=5.11)
Yuan, X.*, Sun, X. (2019). Climate change impacts on socioeconomic damages from weather-related events in china. Natural Hazards.99, 1197–1213. https://doi.org/10.1007/s11069-019-03588-2 (IF=2.32)
Steirou, E.*, Gerlitz, L., Apel, H., Sun, X.*, and Merz, B. (2019) Climate influences on flood probabilities across Europe, Hydrol. Earth Syst. Sci., 23, 1305-1322. https://doi.org/10.5194/hess-23-1305-2019 (IF=4.94)
Qin, Y., Li, B.*, Sun, X, Chen, Y., Shi, X. (2019) Nonlinear response of runoff to atmospheric freezing level height variation based on hybrid prediction models. Hydrological Sciences Journal, 64(13):1556–1572. https://doi.org/10.1080/02626667.2019.1662023 (IF=2.43)
Wei, X., Liu, M.*, Yang, J., Du, W., Sun, X., Huang, Y., Zhang, X., Khalila, S., Luo, D., Zhou, Y. (2019) Characterization of PM2.5-bound PAHs and carbonaceous aerosols during three-month severe haze episode in Shanghai, China: Chemical composition, source apportionment and long-range transportation. Atmospheric Environment, 203: 1-9. https://doi.org/10.1016/j.atmosenv.2019.01.046 (IF=4.04)
Wang, S., Sun, X.*, Lall, U., (2017) Residential electricity demand prediction during summer season across USA, Energy. https://doi.org/10.1016/j.energy.2017.08.076 (IF=4.520)
Morón, S., Amos, K., Edmonds, D.A., Payenberg, T., Sun, X., Thyer, M. (2017), Avulsion triggering by El Ni?o-Southern Oscillation and tectonic forcing on the tropical Magdalena River, Colombia, The Geological Society of America Bulletin. https://doi.org/10.1130/B31580.1 (IF=4.212)
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. https://dx.doi.org/10.1002/2016WR019632 (IF=4.397)
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. https://dx.doi.org/10.1002/joc.4955 (IF=3.760)
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. https://doi.org/10.1016/j.resconrec.2017.08.016 (IF=8.08)
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. https://doi.org/10.1007/s10584-016-1749-3 (IF=3.496)
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. https://doi.org/10.1016/j.jhydrol.2015.09.016 (IF=3.483)
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. https://doi.org/10.1002/2015WR017117 (IF=4.397)
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. https://dx.doi.org/10.1002/2015GL066483(IF=4.253)
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. https://doi.org/10.1016/j.jhydrol.2014.02.025 (IF=3.483)
国际会议
Sun, X., (2018), How climate affects the dependence of extreme streamflow? American Geophysical Union Fall Meeting 2018, 10-14 Dec 2018, Washington DC, USA. (talk)
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)
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