Skip to content

mwklaimwklai/UM_NEMO_xarray

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

72 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Repository of the first EERIE hackathon

This repo contain infromation necessary for data access, and examples of data processing for 1st EERIE hackathon

Data

The EERIE simulations are in progress, so initially examples will be based on data from other projects, but there are already some EERIE based examples as well. We will gradually update examples with EERIE simulations when they become available.

We have compiled a list of variables that we aim to make available during the hackathon. https://docs.google.com/spreadsheets/d/1HWtNO28EBd4O6PdOh5RCHIHsgQ_TByT5F4i2ugNVTfg/edit#gid=0

There are two sheets:

  • EERIE: comprises first-priority variables interpolated to a 0.25-degree regular grid. We will try to deliver these for all simulations.

  • WP7: lists second-priority variables. We will also strive to deliver these, but availability might differ among modeling groups.

Kindly plan your hackathon tasks with this in mind.

Data structure

Data will be available through intake catalogs. Simple way to access the data (if you on DKRZ):

import intake
cat = intake.open_catalog("https://raw.githubusercontent.com/eerie-project/intake_catalogues/main/eerie.yaml")
data = cat['dkrz']['disk']['model-output']['icon-esm-er']['eerie-control-1950']['atmos']['gr025']['2d_monthly_mean'].to_dask()

Navigating through catalogs can be tricky at first, here is an EXAMPLE OF HOW TO WORK WITH CATALOGS

Sumulations

IFS/FESOM

Test data
EERIE simulations
  • eerie-control-1950 - tco1279-NG5 (atmosphere 10 km, ocean 5-13 km). Currently 2 years available.
    • cat['dkrz']['disk']['model-output']['ifs-fesom2-sr']['eerie-control-1950']

ICON

Test data
EERIE simulations
  • eerie-control-1950 - 10 km ocean and atmosphere
    • cat['dkrz']['disk']['model-output']['icon-esm-er']['eerie-control-1950']
IFS/NEMO
UM/NEMO

Initial data from the full eerie-piControl simulation is available:

Model Data
HadGEM3-GC5-EERIE-N96-ORCA1 1851 - 2081
HadGEM3-GC5-EERIE-N216-ORCA025 1851 - 1981
HadGEM3-GC5-EERIE-N640-ORCA12 1851 - 1901
IFS

Data from AMIP (atmosphere-only forced with sea surface temperature (SST) and sea ice concentration (SIC)) runs is available. Given the purpose of the AMIP runs to study the impact of the presence of mesoscale features, the runs exist in pairs: One is forced with observed SST and SIC, taken from the OSTIA dataset (also available under #OBSERVATIONS), while in a twin experiment the observed SST anomalies are smoothed out with a filter the length scale of which is a multiple of the local Rossby radius of deformation. The multiple is indicated in the run ID, i.e. lr30 implies a factor of 30. For more details see #OBSERVATIONS.

Run Data SST
amip-hist-obs 2010 - 2020 unfiltered OSTIA SST
amip-hist-obs-lr30 2010 - 2020 OSTIA SST smoothed with 30 x Rossby radius
amip-ng-obs 2020 - 2021 unfiltered OSTIA SST
amip-ng-obs-lr30 2020 - 2021 OSTIA SST smoothed with 30 x Rossby radius

The "hist" runs are historical runs with time-dependent forcing based on IFS CY48R1.1, including some new EERIE source updates. The "ng" runs use the NextGEMS cycle 3 configuration, i.e. perpetual 2020 forcing (except for SST & SIC).

OBSERVATIONS

Here is README with description of observations

What you need to get started

How to start

General knowlege

Individual models

Each coupled model example is located in individual folders, which are in turn split into components. Begin with START_HERE.ipynb for each component, and then explore the notebooks from the list in the README.

Examples (for now, mostly planned :) )

Standard variables

Here is the list of variables, that will be available during hackathon.

External resources

Contribution

We welcome contributions to the EERIE_hackathon_2023 project! Depending on the extent of your contributions, you can follow one of the two processes:

Small Contributions

For small, one-time contributions, please follow the standard GitHub process:

  1. Fork the repository.
  2. Create a new branch in your fork.
  3. Make your changes and commit them to your branch.
  4. Create a Pull Request (PR) from your branch to the main repository.

Large Contributions

If you plan to make many contributions, you may request write access to the repository. Even with write access, it's best practice to:

  1. Create a new branch for your changes.
  2. Commit your changes to that branch.
  3. Create a Pull Request (PR) from your branch to the main branch.

This ensures that changes are reviewed and integrated systematically. Please avoid committing directly to the main branch.

Thank you for your interest in contributing to the EERIE_hackathon_2023 project!

Model documentation and useful links

IFS/FESOM

ICON

IFS/NEMO

UM/NEMO

IFS

About

repo for EERIE_hackathon_2023

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%