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.
The model will be much easier to use if it were written in python. To deal with Python slowness, I will need to try and use numba and/or xarray. Ideally xarray should be used as much as possible, as it is very popular in the field. pint and pint-xarray could be used so that unit are propagated alongside values, as this is a form of error correction.
[ ] Calculate baroclinic mode and baroclinic modes.
[ ] Simulate thermocline with baroclinic modes alone.
The model will be much easier to use if it were written in python. To deal with Python slowness, I will need to try and use
numbaand/orxarray. Ideallyxarrayshould be used as much as possible, as it is very popular in the field.pintandpint-xarraycould be used so that unit are propagated alongside values, as this is a form of error correction.Questions to answer: