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.

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

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

Historical sea ice in the Bering Sea

Mid-Latitude Evaluation System

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

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

Large-scale atmospheric response to Antarctic sea ice loss

Evaluating anomalously early spring onsets in the 21st century

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

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

ANN detecting signal from internal variability

(Non)linear atmospheric response to Arctic Amplification forcing

Timing of emergence of CONUS summertime temperatures

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

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

Climate drivers of the springtime North America cooling pattern