# OpenIFS afterburner (XIFS)

## Background

It should be able to
* CMORise data, make it CMIP compliant
* Calculate derived variables, e.g. TOA flux, CRF etc
* Interpolate vertical coordinates
* Calculate indices, e.g. ENSO, SOI, NAO etc.
* Automatically plot timeseries of TOA balance, global mean T2m etc.

## Result

A python module that can be loaded in a post processing script or a notebook.

## How to use GEOMAR cluster

Log in

ssh -Y <user>@scalc01.geomar.de

Data

/data/proj/foci/openifs-43r3/OIFS-BJK004/outdata/oifs/

Surface data in files

ECE3_1m_<year>0101_regular_sfc.nc

## References

* IFS parameters https://apps.ecmwf.int/codes/grib/param-db
* Xarray http://xarray.pydata.org/en/stable/
* Xgcm https://xgcm.readthedocs.io/en/latest/
* Pypi https://packaging.python.org/tutorials/packaging-projects/

* NAO https://climatedataguide.ucar.edu/climate-data/hurrell-north-atlantic-oscillation-nao-index-station-based
* SOI http://www.bom.gov.au/climate/glossary/soi.shtml
* CRF https://en.wikipedia.org/wiki/Cloud_forcing

* EC-Earth monitoring for IFS https://scriptengine-tasks-ecearth.readthedocs.io/en/latest/source/tasks/monitoring/openifs-diagnostics.html

## GitHub
Here's the link to my GitHub repository 'xifs' where you'll find the Python code: https://github.com/nanahocke/xifs.git

(Edit by Nana)

## Editing:
Dear all,
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Sincerely,
RPK