GFDL - Geophysical Fluid Dynamics Laboratory

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Sarah Kapnick

Sarah Kapnick

Contact Information:

Telephone: (609) 452-6548


GFDL, Princeton University Forrestal Campus
201 Forrestal Road
Princeton, NJ 08540-6649

Sarah Kapnick is a Physical Research Scientist in the Climate Change, Variability, and Predictions Group at NOAA's Geophysical Fluid Dynamics Laboratory. Her research focuses on the mechanisms controlling extreme storms and mountain snowpack. Dr. Kapnick’s work answers questions about extreme weather events and deviations in the climate system, which can result in mitigable disruptions, and thus are paramount to resource planning and development. Dr. Kapnick’s research utilizes "big data" from both observations and models, to shed light on how the climate system has varied in the past, and what we might expect in the future.  Dr. Kapnick received her undergraduate degree in Mathematics from Princeton University and her Ph.D. from UCLA’s Department in Atmospheric and Oceanic Sciences.

Some Recent Publications:

  • Lemoine, D. and S. Kapnick, 2015: A Top-Down Approach to Projecting Market Impacts of Climate Change, AOP at Nature Climate Change, doi:10.1038/nclimate2759.
  • Wrzesien, M., Pavelsky, T., Kapnick, S., Durand, M., Painter, T., 2015: Validation of Snow Cover Fraction for Regional Climate Simulations in the Sierra Nevada. International Journal of Climatology, 35, 2472-2484.
  • Yang, X., Vecchi, G., Gudgel, R., Delworth, T., Zhang, S., Rosati, A., Jia, L., Stern, W., Wittenberg, A., Kapnick, S., Msadek, R., Underwood, S., Zeng, F., Anderson, W., Balaji, V., 2015: Seasonal predictability of extratropical storm tracks in a high-resolution GFDL climate prediction model. Journal of Climate, 28 (9), 3592-3611.
  • Jia, L., Yang, Z., Vecchi, G.A., Gudgel, R., Delworth, T., Rosati, A., Stern, B., Wittenberg, A.T., Krishnamurthy, L., Zhang, S., Msadek, R., Kapnick, S., Underwood, S., Zeng, F., Anderson, W., Balaji, V., Dixon, K., 2015: Improved Seasonal Prediction of Temperature and Precipitation over Land in a High-Resolution GFDL Climate Model. Journal of Climate, 28 (5), 2044-2062.


Link to GFDL publications: