Muyin Wang

  • CICOES Deputy Director
  • Principal Research Scientist
  • Education:
    • PhD, University of Utah
  • Email:
  • Phone:
    • 206-526-4532
  • Location:
    • NOAA Pacific Marine Environmental Lab, Building 3

    • Research Interests

    Processes associated with climate change in middle and high latitudes of the Northern Hemisphere
    Assessment of global climate models and earth system models (CMIPs)
    Detection and attribution of Arctic climate change, and projections of future climate
    Impacts of climate change on North Pacific (including the Bering Sea) and Arctic ecosystems
    Arctic Amplification and its impact on mid-latitude weathers.
    Machine Learning Assisted weather and sea ice forecasts.

    Current Research Projects

    Arctic Change Detection
    Synthesis study of the Bering and the Chukchi Sea, Changing Seasonality of the Arctic Ocean
    Climate Model assessment and projections of future climate, and impact of climate change on the ecosystems
    Connection of Polar Vortex and jet stream with mid-latitude weather and extreme cold air outbreaks
    Arctic Amplification, partitioning the forced and internal variability using Machine Learning algorithm

    Selected publications

    Sweeney, A. J., Fu, Q., Po-Chedley, S.,Wang, H., & Wang, M. (2023) Internal variability increased Arctic amplification during 1980–2022. Geophysical Research Letters, 50, e2023GL106060. https://doi.org/10.1029/2023GL106060

    Wang, M. and J.E. Overland, (2023): Arctic research at PMEL: from sea ice to the stratosphere. Oceanography 36(2-3), 88-93. https://doi.org/10.5670/oceaog.2023.228.

    Logerwell, E., M. Wang, L.L. Jorgensen, and K. Rand (2022) Winners and Losers in a warming Arctic: Potential habitat gain and loss for epibenthic invertebrates of the Chukchi and Bering Seas. Deep-Sea Res. II, 206, 105210, doi: 10.1016/j.dsr2.2022.105210

    Wang, M., Q. Yang, J.E. Overland, and P.J. Stabeno (2018) Sea-ice cover timing in the Pacific Arctic: The present and projections to mid-century by selected CMIP5 model. Deep-Sea Res. II, 152, SOAR II, 22–34, doi: 10.1016/j.dsr2.2017.11.017

    Yang, Q., M. Wang, J.E. Overland, W. Wang, and T. Collow, (2017) Impact of model physics on seasonal forecasts of surface air temperature in the Arctic. Mon. Wea. Rev. doi:10.1175/MWR- D-16-0272.1.

    Wang, M., and J.E. Overland (2015) Projected future duration of the sea-ice-free season in the Alaskan Arctic. Prog. Oceanogr., doi: 10.1016/j.pocean.2015.01.001.

    Wang, M., J.E. Overland, and P. Stabeno (2012): Future Climate of the Bering and Chukchi Seas projected by global climate models. Deep-Sea Res. II. 65-70, doi: 10.1016/j.dsr2.2012.02.022, 46-57.

    Overland, J. E., M. Wang, N. A. Bond, J. E. Walsh, V. M. Kattsov, and W. L. Chapman (2010) Considerations in the Selection of Global Climate Models for Regional Climate Projections: The Arctic as a Case Study. J.  Climate 24(6), doi: 10.1175/2010JCLI3462.1, 1583–1597

    Wang, M., and J. E. Overland, (2009)  An ice free Arctic within 30 years? Geophys. Res. Lett., Vol, 36, L07502, doi:10.1029/2009GL037820.

    Wang, M., J.E. Overland, V. Kattsov, J.E. Walsh, X. Zhang, and T. Pavlova (2007)  Intrinsic versus forced variation in coupled climate model simulations over the Arctic during the 20th century. J. Climate 20, 1093–1107