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

🌀 Weather and climate graphics for science communication 🌀

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

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

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

(Non)linear atmospheric response to Arctic Amplification forcing

Using neural networks to detect effects of rapid climate mitigation

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

ANN detecting signal from internal variability

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

Evaluating anomalously early spring onsets in the 21st century

Timing of emergence of CONUS summertime temperatures

Using explainable to identify regional climate signals to stratospheric aerosol injection

Historical sea ice in the Bering Sea

Large-scale atmospheric response to Antarctic sea ice loss

Climate drivers of the springtime North America cooling pattern

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

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