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 📉

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

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 🌀

Analysis of manuscript "The impact of rainfall variability on conflict outbreaks at the monthly level

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

ANN detecting signal from internal variability

An analysis of the correlations between incidents of armed conflict, fatalities, high temperatures, and cities of traditional cultural crossroads, specifically, an analysis on the Silk Road cities, as hotbeds of violence, high heat, and cultural diversity.

(Non)linear atmospheric response to Arctic Amplification forcing

Mid-Latitude Evaluation System

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

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

A Statistician reads published Climate Science