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Python Stratify ⭐ 24

Vectorized interpolators for Nd atmospheric and oceanographic data

Diva Workshops ⭐ 14

Code, data and instructions for the Diva workshops

python library and tools for pre and post processing of the FESOM ocean model files

Replication of Seager et al. (2019) Nat. Clim. Chan. They used a simple-as-possible coupled model to explain the bias in the nino3.4 trend in climate models (CMIP5). This repository replicates/reproduces their work, shows that it also applies to CMIP6, and varies some of the parameters.

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