Chris Tessum
@ctessum.bsky.social
Reposted by Chris Tessum
In case you're working on NSF COA
Have you tried this one? (Export Author Affiliation; then select Authors all) ui.adsabs.harvard.edu/search/fq=%7...
Astrophysics Data System
A powerful, streamlined new Astrophysics Data System
ui.adsabs.harvard.edu
October 27, 2025 at 12:49 PM
In case you're working on NSF COA
Reposted by Chris Tessum
Really thrilled to share this new publication on the AMORE 2.0 algorithm 💗
This goal of this EPA-funded project was to develop an automated way to reduce the complexity of atmospheric chemical mechanisms using the principles of graph theory
academic.oup.com/pnasnexus/ar...
This goal of this EPA-funded project was to develop an automated way to reduce the complexity of atmospheric chemical mechanisms using the principles of graph theory
academic.oup.com/pnasnexus/ar...
August 23, 2025 at 12:23 PM
Really thrilled to share this new publication on the AMORE 2.0 algorithm 💗
This goal of this EPA-funded project was to develop an automated way to reduce the complexity of atmospheric chemical mechanisms using the principles of graph theory
academic.oup.com/pnasnexus/ar...
This goal of this EPA-funded project was to develop an automated way to reduce the complexity of atmospheric chemical mechanisms using the principles of graph theory
academic.oup.com/pnasnexus/ar...
We have a new preprint out! essopenarchive.org/doi/full/10....
In it, Xiaokai Yang, Lin Guo and I explore a method for making atmospheric chemistry surrogate models which are guaranteed to not have exploding errors. This is a step toward generally useful machine-learned models of the atmosphere.
In it, Xiaokai Yang, Lin Guo and I explore a method for making atmospheric chemistry surrogate models which are guaranteed to not have exploding errors. This is a step toward generally useful machine-learned models of the atmosphere.
Atmospheric chemistry surrogate modeling with sparse identification of mass action dynamics
Modeling gas-phase atmospheric chemistry is computationally challenging because the underlying dynamics are high-dimensional (requiring many variables) and stiff (occurring across time-scales). Previo...
essopenarchive.org
May 3, 2025 at 5:54 PM
We have a new preprint out! essopenarchive.org/doi/full/10....
In it, Xiaokai Yang, Lin Guo and I explore a method for making atmospheric chemistry surrogate models which are guaranteed to not have exploding errors. This is a step toward generally useful machine-learned models of the atmosphere.
In it, Xiaokai Yang, Lin Guo and I explore a method for making atmospheric chemistry surrogate models which are guaranteed to not have exploding errors. This is a step toward generally useful machine-learned models of the atmosphere.
Reposted by Chris Tessum
🔔 New Master's internship opportunity 🔔
Come work with me this summer (from the comfort of your own home!) on global urban modeling at Pacific Northwest National Laboratory! Details & apply: careers.pnnl.gov/jobs/10599?l...
Due Monday, April 14!
More info in 🧵
[1/4]
Come work with me this summer (from the comfort of your own home!) on global urban modeling at Pacific Northwest National Laboratory! Details & apply: careers.pnnl.gov/jobs/10599?l...
Due Monday, April 14!
More info in 🧵
[1/4]
Masters Intern - Global Urban Modeling in United States | Pacific Northwest National Laboratory
PNNL is hiring a Masters Intern - Global Urban Modeling in United States. Review all of the job details and apply today!
careers.pnnl.gov
April 8, 2025 at 8:59 PM
🔔 New Master's internship opportunity 🔔
Come work with me this summer (from the comfort of your own home!) on global urban modeling at Pacific Northwest National Laboratory! Details & apply: careers.pnnl.gov/jobs/10599?l...
Due Monday, April 14!
More info in 🧵
[1/4]
Come work with me this summer (from the comfort of your own home!) on global urban modeling at Pacific Northwest National Laboratory! Details & apply: careers.pnnl.gov/jobs/10599?l...
Due Monday, April 14!
More info in 🧵
[1/4]
Reposted by Chris Tessum
How to Access the EOT Web Archives
Visit web.archive.org
Scroll to 🔎Collection Search section
Select "End Of Term (US Gov 2024)" from the menu
Type in your query term and click search
Or download bulk WARC files from eotarchive.org/data/
#EOT2024 #EOTArchive
Visit web.archive.org
Scroll to 🔎Collection Search section
Select "End Of Term (US Gov 2024)" from the menu
Type in your query term and click search
Or download bulk WARC files from eotarchive.org/data/
#EOT2024 #EOTArchive
December 9, 2024 at 6:38 PM
How to Access the EOT Web Archives
Visit web.archive.org
Scroll to 🔎Collection Search section
Select "End Of Term (US Gov 2024)" from the menu
Type in your query term and click search
Or download bulk WARC files from eotarchive.org/data/
#EOT2024 #EOTArchive
Visit web.archive.org
Scroll to 🔎Collection Search section
Select "End Of Term (US Gov 2024)" from the menu
Type in your query term and click search
Or download bulk WARC files from eotarchive.org/data/
#EOT2024 #EOTArchive
We have a new paper just published about using machine learning to estimate uncertainty in atmospheric chemistry modeling! dx.doi.org/10.1029/2024...
Uncertainty Quantification in Reduced‐Order Gas‐Phase Atmospheric Chemistry Modeling Using Ensemble SINDy
Using a simple tropospheric ozone chemistry model, we quantify uncertainty caused by simplifying the model with machine learning
Compared to the deterministic simplification method, the probabili...
dx.doi.org
December 5, 2024 at 12:33 AM
We have a new paper just published about using machine learning to estimate uncertainty in atmospheric chemistry modeling! dx.doi.org/10.1029/2024...
Reposted by Chris Tessum
Research scientist position on AI weather forecasting at UChicago's AI for Climate (AICE) initiative to work with me, Amir Jina, and Michael Kremer. Will work across our new Human-Centered Weather Forecasting Initiative + @dsi-uchicago.bsky.social + Climate Institute
November 22, 2024 at 10:21 PM
Research scientist position on AI weather forecasting at UChicago's AI for Climate (AICE) initiative to work with me, Amir Jina, and Michael Kremer. Will work across our new Human-Centered Weather Forecasting Initiative + @dsi-uchicago.bsky.social + Climate Institute
Reposted by Chris Tessum
In retrospect, I should have started preparing this material a long time ago...
November 22, 2024 at 4:16 AM
In retrospect, I should have started preparing this material a long time ago...
Reposted by Chris Tessum
I did a bluesky thing and made a "list" of atmospheric chemists! Share with your friend and let me know if you want to be added! bsky.app/profile/did:...
November 11, 2024 at 8:27 AM
I did a bluesky thing and made a "list" of atmospheric chemists! Share with your friend and let me know if you want to be added! bsky.app/profile/did:...
We have a new preprint led by student Lin Guo! It is about uncertainty quantification in atmospheric chemistry modeling: arxiv.org/abs/2407.09757
Uncertainty Quantification in Reduced-Order Gas-Phase Atmospheric...
Uncertainty quantification during atmospheric chemistry modeling is computationally expensive as it typically requires a large number of simulations using complex models. As large-scale modeling...
arxiv.org
July 16, 2024 at 4:51 AM
We have a new preprint led by student Lin Guo! It is about uncertainty quantification in atmospheric chemistry modeling: arxiv.org/abs/2407.09757
I was quoted in this article! www.npr.org/2023/10/17/1...
www.npr.org
October 18, 2023 at 9:39 PM
I was quoted in this article! www.npr.org/2023/10/17/1...
We have a new preprint out today! arxiv.org/abs/2309.11035 We find that replacing the advection operator with a machine-learned surrogate may help the model run faster and/or be more accurate in certain situations.
Learned 1-D passive scalar advection to accelerate chemical...
We developed and applied a machine-learned discretization for one-dimensional (1-D) horizontal passive scalar advection, which is an operator component common to all chemical transport models...
arxiv.org
September 21, 2023 at 9:43 PM
We have a new preprint out today! arxiv.org/abs/2309.11035 We find that replacing the advection operator with a machine-learned surrogate may help the model run faster and/or be more accurate in certain situations.
I'm quoted in this article! (Although the quote is me saying something that pretty much everyone already knows)
The Reach of Wildfire Smoke Is Going Global and Undoing Progress on Clean Air
In the United States, smoke from wildfires is undoing progress from the Clean Air Act. In poorer countries, the situation is even worse.
www.nytimes.com
September 21, 2023 at 12:04 AM
I'm quoted in this article! (Although the quote is me saying something that pretty much everyone already knows)