Open-source Python package for Systematic Evaluation of Climate and Earth System Models
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Updated
Aug 7, 2024 - Jupyter Notebook
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.
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
Assessing the influence of the QBO in Arctic sea ice perturbation experiments
Mid-Latitude Evaluation System
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
ANN detecting signal from internal variability
AMIP experiments for surface forcings (sea ice, SST, QBO, Eurasian snow)
(Non)linear atmospheric response to Arctic Amplification forcing
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
Large ensemble to explore robustness of stratospheric response to Arctic sea-ice loss
Timing of emergence of CONUS summertime temperatures
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