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I wish there was some AI solution to proofread a manuscript. It can take up the task of comparing a submitted version and the journal’s uncorrected pdf.

The Google Academic Research Awards program has a request for proposals open on "Creating ML benchmarks for climate problems" Applications are due July 17: goo.gle/GARA

Please consider our session at the #AGU24 Fall Meeting: NG011 Machine Learning Subgrid-Scale Parameterizations for Earth System Modeling, with invited speakers Veronika Eyring (DLR) and Adam Subel (NYU)! Link here: agu.confex.com/agu/agu24/meet… Aakash Sane Laura Mansfield Adam Subel

Attending AGU (American Geophysical Union) this year? Working in the cutting edge field of developing sub-grid parameterizations using machine learning? Submit an abstract to our session: 'Machine Learning Subgrid-Scale Parameterizations for Earth System Modeling' agu.confex.com/agu/agu24/prel…

We will be looking for talks covering all aspects of the Earth system at our #AGU24 session. And a reminder that if you are submitting an abstract to one section (AS, OS, CS, H,...), you can submit a second abstract to ours as we are in NG!

Zeyuan Hu (Harvard University) and his colleagues have been working on developing machine-learning (ML) subgrid parameterizations for convection and radiation using the ClimSim dataset. By integrating microphysics constraints into the ML emulator, their work achieves stable and

Karan Jakhar (University of Chicago and Rice University Karan Jakhar) and his colleagues used machine learning to develop a subgrid-scale parameterization for geophysical turbulence that is not only effective but also analytically derivable using a Taylor series expansion. By

Very excited about giving a keynote talk in the ongoing DRAKKAR Ocean Modeling Workshop! Workshop agenda and link for live streaming are here: drakkar2025.sciencesconf.org