Dr. Jiale Lou has been with the CIRES and the NOAA AOP team since February 2021. He is working on seasonal to decadal climate predictions and predictability of some environmental conditions by using a series of empirical climate models. His research interests include large-scale climate variability and dynamics, and climate predictions and predictability studies. Prior to working with NOAA, he obtained his PhD degree in marine science at University of Tasmania, Australia. His PhD thesis is about the South Pacific Ocean climate dynamics and predictability.
- Ph.D., Oceanography, University of Tasmania, Sep 2020
- M.Sc., Global Environment Change, Beijing Normal University, Jun 2016
- B.Sc., Climate Science, Nanjing University of Information Science and Technology, Jun 2013
- Lou, J., T. J. O’Kane and N. J. Holbrook, 2021: Linking the atmospheric Pacific-South American mode with oceanic variability and predictability. Commun. Earth Environ 2, 223.
- Lou, J., T. J. O’Kane and N. J. Holbrook, 2021: A Linear Inverse Model of Tropical and South Pacific Climate Variability: Optimal Structure and Stochastic Forcing. J. Climate, 34, 143-155.
- Lou, J., T. J. O’Kane and N. J. Holbrook, 2020: A Linear Inverse Model of Tropical and South Pacific Seasonal Predictability. J. Climate. 33, 4537-4554. doi:10.1175/jcli-d-19-0548.1
- Lou, J., N. J. Holbrook, and T. J. O’Kane, 2019: South Pacific Decadal Climate Variability and Potential Predictability. J. Climate, 32, 6051-6069.
- Lou, J., X. Zheng, C. S. Frederiksen, H. Liu, S. Grainger, and K. Ying, 2016: Simulated decadal modes of the NH atmospheric circulation arising from intra-decadal variability, external forcing and slow-decadal climate processes. Climate Dyn., 48, 2635–2652.