2011.08-2016.05 博士，乔治梅森大学气候动力学
2008.09-2011.05 研究生，北英属哥伦比亚大学自然资源与环境科学
2003.09-2007.07 本科，中国海洋大学大气科学
2019.12- 副教授，河海大学
2016.05-2019.05 博后，普林斯顿大学大气与海洋科学学院
2011.08-2016.05 助研，乔治梅森大学大气、海洋与地球科学学院
2008.09-2011.05 助研，北英属哥伦比亚大学自然资源与环境科学
气候变化的检测与归因、季节到年代际尺度气候变率与可预报性研究
主讲课程：
科技文献阅读与综述
海洋调查
海洋观测与数据处理
科研项目：
中央高校项目经费，2020-2022，主持
国家自然科学基金青年项目，地中海年代际变率的形成机制与可预报性研究，2021-2023，主持
国家自然科学基金面上项目，热带北大西洋海温季节可预报性的年代际变化及其物理机制研究，2024-2027，主持
论文论著：
Xu, C., Yan*, X., Tang*, Y., 2024. Seasonal Prediction of North Atlantic Sea Surface Temperature Anomalies Using Machine Learning Method of LSTM, Environ. Res. Lett. 19, 124032
Chen, Y., Yan*, X., Tang*, Y. et al., 2024. Decline in Atlantic Niño prediction skill in the North American multi-model ensemble. Commun.Earth Environ. 5, 524.
Yan X., Yao, W., Tang*, Y., 2024. Multidecadal Changes of the Seasonal Potential Predictability of Winter PNA and Associated Circulation Anomalies. J. Climate. 37, 3689–3701.
Wu Y, Yan* X., 2023. Evaluating Changes in the Multiyear Predictability of the Pacific Decadal Oscillation Using Model Analogs since 1900. Journal of Marine Science and Engineering. 11, 980. //doi.org/10.3390/jmse11050980
Yan, X., Tang Y., and Yang D., 2023. Study of the Decadal Predictability of Mediterranean Sea Surface Temperature Based on Observations. J. Climate, 36, 1487–1501, //doi.org/10.1175/JCLI-D-21-0999.1.
Yao, W., Yan X*., Tang, Y*. and Coauthors, 2022. Multidecadal variation in the seasonal predictability of winter PNA and its sources. Geophys. Res. Lett., 49, e2022GL099393. //doi.org/10.1029/2022GL099393
Yan, X., & Tang, Y., 2021. Multidecadal variability in Mediterranean Sea surface temperature and its sources. Geophys. Res. Lett., 48, e2020GL091814. //doi.org/10.1029/2020GL091814
Yang, D., Tang Y., Yang X.-Q., Ye D., Liu T., Feng T., Yan X., Sun X., and Zhang Y., 2021, A theoretical relationship between probabilistic relative operating characteristic skill and deterministic correlation skill in dynamical seasonal climate prediction, Clim. Dyn., //doi.org/10.1007/s00382-021-05678-z.
Yan X., Zhang R., and Knutson T., 2019. A multivariate AMV index and associated discrepancies between observed and CMIP5 externally forced AMV. Geophys. Res. Lett., 46:4421– 4431.
DelSole T., Trenary L., Yan X., and Tippett M.K. 2019. Confidence intervals in optimal fingerprinting. Clim. Dyn., 52, 4111–4126.
Yan X., Zhang R., and Knutson T., 2018. Underestimated AMOC Variability and Implications for AMV and Predictability in CMIP Models. Geophys. Res. Lett., 45:4319– 4328.
Yan X., Zhang R., and Knutson T., 2017. The role of Atlantic overturning circulation in the recent decline of Atlantic major hurricane frequency. Nature Communications, 8:1695.
Yan X., DelSole T., and Tippett M.K., 2016. What Surface Observations Are Important for Separating the Influences of Anthropogenic Aerosols from Other Forcings? J. Climate, 29:4165–4184.
DelSole T., Yan X., and Tippett M.K. 2016. Inferring Aerosol Cooling from Hydrological Sensitivity. J. Climate, 29:6167–6178.
Tang Y., Chen D., and Yan X., 2015. Potential predictability of northern america surface temperature in AGCMs and CGCMs. Clim. Dyn., 45:353–374.
DelSole T., Yan X., Dirmeyer P.A., Fennessy M., and Altshuler E., 2014. Changes in seasonal predictability due to global warming. J. Climate, 27:300–311.
Tang Y., Chen D., and Yan X., 2014. Potential predictability of north american surface temperature. Part I: Information-based versus signal-to-noise-based metrics. J. Climate, 27:1578–1599.
Dirmeyer P.A., Jin Y., Singh B., and Yan X., 2013. Trends in land–atmosphere interactions from CMIP5 simulations. J. Hydrometeor., 14:829–849.
Dirmeyer P.A., Jin Y., Singh B., and Yan X., 2013. Evolving land–atmosphere interactions over north america from CMIP5 simulations. J. Climate, 26:7313–7327.
Yan X. and Tang Y., 2013. An analysis of multi-model ensembles for seasonal climate predictions. Q. J. Royal Meteorol. Soc, 139:1179–1198.
