Our new preprint proposes a framework for predicting summertime temperature jumps on 1-5 year timescales. eartharxiv.org/repository/v...
Machine learning predictions of summertime warming jumps on decadal timescales
eartharxiv.org
Emily Gordon
@emilygordynz.bsky.social
Lecturer @ University of Auckland | Climate variability + data science | emilymgordon.com
Our new paper shows how recent prescribed (Rx) burns in the western US impacted later wildfires. We find that Rx fires reduced wildfire severity + net smoke emissions, even when factoring in smoke from Rx fires. But, we find that these Rx fires were less effective in the wildland-urban interface.
Future TC risk is uncertain — but here’s the twist: what drives that uncertainty changes with your risk model setup. We unpacked that. Full paper here: www.science.org/doi/10.1126/... @adamsobel.bsky.social @scamargo.bsky.social @nblmndl.bsky.social and other wonderful co-authors 🙏!
Navigating and attributing uncertainty in future tropical cyclone risk estimates
Quantifying, classifying, and comparing uncertainties in future tropical cyclone risks toward actionable climate decisions.
science.org
New paper by me and Noah Diffenbaugh on identifying predictable Pacific variability in the observational record 1/6 agupubs.onlinelibrary.wiley.com/doi/10.1029/...
Identifying a Pattern of Predictable Decadal North Pacific SST Variability in Historical Observations
A pattern of predictable sea surface temperature variability in the North Pacific Ocean is identified by a neural network trained on CMIP6 models The neural network skillfully predicts the same p...
agupubs.onlinelibrary.wiley.com
So proud of @amaz.bsky.social who defended her PhD today!!!! Dr Allie!!! So well deserved!! She absolutely killed it ❤️
