Open-source Python package for Systematic Evaluation of Climate and Earth System Models

Using neural networks to detect effects of rapid climate mitigation

📈 Series of workshops and lectures using Python in the climate/atmospheric sciences 📉

Timing of emergence of CONUS summertime temperatures

Climate drivers of the springtime North America cooling pattern

Using explainable to identify regional climate signals to stratospheric aerosol injection

Using a neural network to predict changes in the rate of global mean surface temperature warming

🌀 Weather and climate graphics for science communication 🌀

Code used to identify and analyze drought clusters from gridded data.

ANN detecting signal from internal variability

(Non)linear atmospheric response to Arctic Amplification forcing

Large ensemble to explore robustness of stratospheric response to Arctic sea-ice loss

Assessing the influence of the QBO in Arctic sea ice perturbation experiments

Historical sea ice in the Bering Sea

Evaluating anomalously early spring onsets in the 21st century

PAMIP simulations to understand role of sea surface temperatures on polar amplifications

Large-scale atmospheric response to Antarctic sea ice loss

AMIP experiments for surface forcings (sea ice, SST, QBO, Eurasian snow)