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 📉

A 2-layer quasi-geostrophic atmospheric model in Python. Can be coupled to a simple land or shallow-water ocean component.

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

Mid-Latitude Evaluation System

Given a global mean temperature pathway, generate random global climate fields consistent with it and with spatial and temporal correlation derived from an ESM

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

Climate generator using Generative Adversarial Networks

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

Large-scale atmospheric response to Antarctic sea ice loss

Historical sea ice in the Bering Sea

Coupled Natural Human Systems at the Ridge-2-Reef Climate and Life program at UC Irvine, August 2018