I will use three studies to substantiate the utility of a top-down theoretical framework consisting of global-mean, zonal-mean and zonal asymmetry. Another recurring theme is the importance of a hierarchy of limited-domain process models and global models of various complexities.
Dr. Yi Ming is a Senior Scientist at the NOAA Geophysical Fluid Dynamics Laboratory, where his research focuses on regional hydroclimate variability and change. He earned his Bachelor's degrees in Chemical Engineering and Environmental Engineering from Tsinghua University, and his PhD in Civil and Environmental Engineering from Princeton University in 2003. He did his postdoctoral work at the University of Delaware before joining NOAA GFDL as a visiting scientist. He is now the leader of the Atmospheric Physics Division, and a lecturer in the Atmospheric and Oceanic Sciences program at Princeton. He has received numerous honors for his work, including the AGU Ascent Award (2018), the AMS Henry G. Houghton Award (2014), the WMO Norbert Gerbier-Mumm International Award (2012), and the PECASE award (2008).
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