Kara Lamb

Associate Research Scientist at Columbia University studying aerosols, cloud physics, & machine learning.

[Kara Lamb @karadlamb]

https://t.co/Uh3QHC2KzJ

[Environmental Data Science @EnvDataScience]

Recently published!

Simulating the air quality impact of prescribed fires using graph neural network-based PM2.5 forecasts

👉 https://t.co/a92xQhKWk4

By Kyleen Liao, @JBuch7, @karadlamb and @PierreGentine

#airquality #wildfires #forecasting

[LEAP-STC @LeapStc]

So proud of #REU24 alum Ashley Nguyen (@UCBerkeley) + her LEAP research poster @ #AGU24! (Ice crystal mentors: @joeko1991 + @karadlamb)

And a @NOAA puppy, because why not? 🐶

#LEAPEducation #community #mentoring @NSF @CUSEAS @columbiaclimate

[LEAP-STC @LeapStc]

Join @joeko1991 @karadlamb + Marcus van Lier-Walqui to hear "A44A-09: Exploring Parametric and Structural Uncertainties of Bulk and Lagrangian Ice Microphysical Schemes in Large Eddy Simulations!"

TODAY @ #AGU24: 17:20p in 201 (Conv. Ctr)!

https://t.co/Jci7MXWCyz

[LEAP-STC @LeapStc]

LEAP #MomentumFellow23 Mohammed Erfani presents "A33J-08: Spatiotemporal ML Models for Emulation of Atmospheric Composition" TODAY at 15:30p in Salon H! https://t.co/uKNhDBcpfG

(w/@karadlamb + Marcus van Lier-Walqui)

#LEAPEducation #AGU24 @NSF @CUSEAS @theAGU @columbiaclimate

[LEAP-STC @LeapStc]

LEAP #REU24 alum Ashley Nguyen (@UCBerkeley) kicks off our AM posters at #AGU24!

"A31B-1687: Emulating Lagrangian Ice Crystal Evolution in Cirrus Clouds Using Supervised Machine Learning" (w/@joeko1991 + @karadlamb) https://t.co/CYu4SuCIiu

@theAGU @NSF @CUSEAS @columbiaclimate

[LEAP-STC @LeapStc]

Take a stroll to see "A31G-1810: Discovering a Model for Depositional Ice Growth from Observations Using Neural Ordinary Differential Equations + Symbolic Regression" (@karadlamb), TODAY at #AGU24!

https://t.co/gMBTZxPoPo

@NSF @theAGU @CUSEAS @columbiaclimate

[Columbia Climate School @columbiaclimate]

On the heels of announcing its new MS in Climate, @columbiaclimate held its first-ever #ClimateWeekNYC Showcase to highlight its mission of partnership and collaboration on climate solutions that make real change in the world. Via State of the Planet. https://t.co/dK8pQncZ3a

[Columbia Climate School @columbiaclimate]

Our Columbia Climate School Showcase during #ClimateWeekNYC welcomed students and leaders from industry, government, and academia to explore the foundational knowledge and critical actions necessary to realize a just and sustainable future. #ColumbiaClimateWeek

[LEAP-STC @LeapStc]

📣 Check out @karadlamb presenting @columbiaclimate's 1st Climate School Faculty Seminar!

"Learning #Cloud Processes Across Scales Using Scientific #ML"

📅 TOMORROW 9/11/24
🕑 2p EDT
📍 @Columbia Forum, Rm 301
💻 RSVP: https://t.co/Oyg7lhb6JZ

#climate #data #projections @NSF

[Kara Lamb @karadlamb]

An excellent write up by @jamesNESW on how we are learning more about the role that clouds play in climate. It was awesome to do some cloud watching in Central Park and talk with him about these important questions! @LeapStc @CUSEAS @columbiaclimate

[James Dinneen @jamesNESW]

How clouds will respond to warming is among the biggest mysteries in climate science. I went cloud watching with @karadlamb to learn what will solve it, from new satellites to cloud chambers big enough to drizzle.🌧️I won't see cirrus the same way again. https://t.co/ccAlQikQJ2

[Kara Lamb @karadlamb]

This was a great workshop and an interesting discussion. Thanks to the organizers for their great work on this! @ml4esmworkshop

[ml4esmworkshop @ml4esmworkshop]

#ICML2024 Panel discussion moderated by Candace Agonafir. Our panelists are sharing their insights on ML for Earth system modeling and more!

[ml4esmworkshop @ml4esmworkshop]

#ICML2024 ML4ESM workshop invited speaker @karadlamb on Towards Improved Cloud Parameterizations in
Climate Models using Machine Learning @LeapStc

[Kara Lamb @karadlamb]

Tomorrow morning I'll be speaking at the @ml4esmworkshop at #icml24 on using machine learning to improve climate model parameterizations for cloud processes.

[LEAP-STC @LeapStc]

The @ml4esmworkshop is just over a week away at #ICML24 - if you're interested in #AI/#ML applications for #climate + #Earth system modeling, don't miss it!

Meanwhile, check out the accepted Workshop papers: https://t.co/mhnTg2QGSY

#climateadaptation #community

[Kara Lamb @karadlamb]

Cloud processes present a major challenge to our ability to model future climate. Here I explore how we can use new, data-driven approaches to determine optimal representations for cloud processes in climate models

[Kara Lamb @karadlamb]

Glad to see our paper on using data-driven reduced order modeling to develop cloud microphysics schemes published in JAMES this week! https://t.co/77DGjN6COB
@LeapStc @CUSEAS @columbiaclimate

[ml4esmworkshop @ml4esmworkshop]

Our speakers and panelists come from diverse backgrounds, each bringing deep insights and cutting-edge discoveries that integrating #AI and #EarthSystemModeling / #Climate Research.
@karadlamb
@JuliaKaltenborn
@StephanMandt
@ask1729
@david_rolnick
@thuereyGroup

[ml4esmworkshop @ml4esmworkshop]

🌎🚀We are excited to announce the first Machine Learning for Earth System Modeling (#ML4ESM) workshop at #ICML this July! This workshop aims to facilitate the cross-fertilization of ideas between the pioneering ML experts and earth system modeling domain scientists!

[NOAA Satellites @NOAASatellites]

.@NOAA's #GOESWest 🛰️ spied some beautiful spiraling clouds west of the Hawaiian islands in this visible imagery from March 26, 2024.

Aren't they mesmerizing?

[LEAP-STC @LeapStc]

Chat about “Climate Data Science: Multidisciplinary Perspectives on Research Convergence” w/LEAP panelists @karadlamb @BasicScienceSav + @juannat7!

📅 Thurs., 3/28/24
🕛 12p (EDT), in-person + via Zoom
💻 RSVP: https://t.co/XGw9uKw9TG

#community @CUSEAS @columbiaclimate @NSF