Date & Time
Oct. 31, 2024, noon - Oct. 31, 2024, 1:30 p.m.
Cost
$0
Location
Columbia Innovation Hub - Tang Family Hall
2276 12th Avenue Room 202
New York, NY
Oct. 31, 2024, noon - Oct. 31, 2024, 1:30 p.m.
$0
Columbia Innovation Hub - Tang Family Hall
2276 12th Avenue Room 202
New York, NY
*Please note that in-person space is limited.*
Abstract: Help shape the future of data, computation, and collaboration at LEAP! This week’s Lecture in Data Science isn’t a lecture at all but a discussion facilitated by Tian Zheng (LEAP Deputy Director) and Robert Pincus about the evolving needs of LEAP’s broad community. We would especially like to identify possible areas where we can share technical expertise - for example, around the training of ML models or practices for reproducibility. Based on your input, the LEAP Center will try to nucleate short- or long-term communities of practice around particular tasks and, following on the examples of ClimSim and ClimSim-Online, focusing effort on specific broadly-useful tasks. We hope for lots of input from the research community but especially from those involved in education and knowledge transfer (writ broadly).
Bio: What can the past tell us about the future? Much of my work is oriented around understanding what the historical record can tell us about climate change, and especially how changes in the composition of the atmosphere affect the flows of energy within the earth system -- the so-called "radiative forcing." On shorter time scales I work on a range of problems related to clouds, radiation, circulation, and climate. One practical thread is related to the nuts-and-bolts of building models. Radiation is the ultimate driver for every atmospheric motion so every model of the atmosphere needs an accurate representation. I'm especially interested in identifying a range of strategies for balancing accuracy and computational cost based on the scales at which radiation couples to circulation. I have a long-standing interest in interpreting remote-sensing measurements. Still inspired by one of my first mentors, I'm especially interested in what we can learn from different views of the same aspect of the world.
Learn More: LEAP