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Dr. Xiaosong Yang

Meteorologist, Seasonal to Decadal Variability and Predictability Division

Geophysical Fluid Dynamics Laboratory/NOAA

Princeton University Forrestal Campus

201 Forrestal Road, Princeton, NJ 08540

Phone: 609-452-5311, Fax: 609-987-5063, Email: Xiaosong.Yang@noaa.gov

Education

  • Ph.D. in Marine and Atmospheric Science, Stony Brook University,  Stony Brook, 2006
  • M.S. in Atmospheric Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, 2000
  • B.S. in Meteorology, Ocean University of Qingdao, China, 1995

Research Interests

  • Coupled model initialization for climate prediction
  • Seasonal to decadal scale climate predictability and variability
  • Climate extremes: Attribution and prediction
  • Eddy-mean flow interactions and storm track dynamics

Selected papers

  1. Yang, X., T. L. Delworth, F. Zeng, L. Zhang, W. F. Cooke, M. J. Harrison, A. Rosati, S. Underwood, G. P. Compo, C. McColl, 2021: On the Development of GFDL’s decadal prediction system: initialization approaches and retrospective forecast assessment,Journal of Advances in Modeling Earth Systems, 13, e2021MS002529. https://doi.org/10.1029/2021MS002529
  2. Park, J.-Y., C. A. Stock, John P. Dunne, X. Yang, A. Rosati, 2019: Seasonal to multi-annual marine ecosystem prediction with a global Earth system model, Science, 365(6450), DOI:10.1126/science.aav6634. 
  3. Yang, X., L. Jia, S. Kapnick, T. L. Delworth, G. A. Vecchi, R. G. Gudgel, Seth Underwood, Fanrong Zeng, 2018: On the seasonal prediction of the western United States  El Niño precipitation during the 2015/16 winter, Climate Dynamics, DOI:10.1007/s00382-018-4109-3
  4.  Kapnick SB, Yang X, Vecchi GA, Delworth TL, Gudgel R, Malyshev S, Milly PCD, Shevliakova E, Underwood S, Margulis S, 2018: Potential for Western United States Seasonal Snowpack Prediction. Proceedings of the National Academy of Sciences.  doi:10.1073/pnas1716760115
  5. Jia, L., X. Yang, G. A. Vecchi, R. Gudgel, T. Delworth, S. Fueglistaler, P. Lin, A. Scaife, S. Underwood, S.-J. Lin, 2017: Seasonal Prediction Skill of Northern Extratropical Surface Temperature Driven by the Stratosphere, J. Climate, DOI:10.1175/JCLI-D-16-0475.1
  6.  Jia, Liwei, G. A. Vecchi, X. Yang, R. G. Gudgel, T. L. Delworth, W. F. Stern, K. Paffendorf, S. D. Underwood, and F. Zeng, 2016: The Roles of Radiative Forcing, Sea Surface Temperatures, and Atmospheric and Land Initial Conditions in U.S. Summer Warming Episodes. Journal of Climate, 29(11), DOI:10.1175/JCLI-D-15-0471.1
  7. Yang, XiaosongGabriel A VecchiThomas L Delworth, Karen Paffendorf, Richard G GudgelLiwei JiaSeth D Underwood, and Fanrong Zeng, December 2015: Extreme North America Winter Storm Season of 2013/14: Roles of Radiative Forcing and the Global Warming HiatusBulletin of the American Meteorological Society96(12), DOI:10.1175/BAMS-EEE_2014_ch6.1
  8. Yang, X. et al., 2015: Seasonal predictability of extratropical storm tracks in GFDL’s high-resolution climate prediction model, J. Climate, 28, 3592-3611,doi: http://dx.doi.org/10.1175/JCLI-D-14-00517.1
  9. Jia, L., X. Yang,  et al., 2015: Improved Seasonal Prediction of Temperature and Precipitation over Land in a High-resolution GFDL Climate Model, J. Climate, 28, 2044-2062, doi: http://dx.doi.org/10.1175/JCLI-D-14-00112.1
  10. Yang, X. et al., 2013: A predictable AMO-like pattern in GFDL’s fully-coupled ensemble initialization and decadal forecasting system,  Journal of Climate., 26(2), DOI:10.1175/JCLI-D-12-00231.1

    Publication Statistics

    GFDL’s Bibliography Page

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