Nonlinear Interaction between the Drivers of the Monsoon and Summertime Stationary Waves
Published:
Our monsoon paper was just accepted for publication in Geophyiscal Research Letters. See my December post for more details.
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A more predictable MJO?
Published:
Claire Valva, now at Caltech, just submitted our paper on the development of a more predictable Madden Julian Oscillation using Koopman spectral analysis. The Madden-Julian oscillation (MJO) is an eastward moving pattern of enhanced and suppressed tropical rainfall that lasts, approximately, from 30 to 60 days. The MJO is connected with many aspects of global weather including tropical cyclones and the monsoon. We use a data-driven method to identify an index of the MJO and show that this is a more predictable index than those traditionally used.
The recurrence of atmospheric blocking
Published:
Wow, a busy month. Ka Ying Ho, a PhD student with Lei Wang at Purdue University, just submitted an investigation into the return period distribution of atmospheric blocking to the Journal of Climate! It is joint work with Yi Ming at Boston College.
A fully data driven gravity wave parameterization
Published:
Elias Haslauer, a PhD student with Mierk Schwabe and Veronika Eyring at DLR has just submitted a paper on a novel approach to parameterize gravity wave momentum transport with machine learning to Machine Learning: Earth. This work began when I was on sabbatical at DLR!
Gravity wave momentum transport on a budget
Published:
David Connelly just submitted a paper on Fast, accurate parameterization of atmospheric gravity waves, accounting for transient dynamics to the Journal of Advances in Modeling the Earth System.
