This repo contain infromation necessary for data access, and examples of data processing for 1st EERIE hackathon
The EERIE simulations are not ready yet, so initially examples will be based on data from other projects. 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.
Test data
nextGEMS Cycle 3 simulations
Description of simulations: https://easy.gems.dkrz.de/DYAMOND/NextGEMS/index.html#id4
Test data
nextGEMS Cycle 2 simulations
Description of simulations: https://easy.gems.dkrz.de/DYAMOND/NextGEMS/index.html#id1
Initial data from the full eerie-piControl simulation is available:
| Model | Data |
|---|---|
| HadGEM3-GC5-EERIE-N96-ORCA1 | 1851 - 2050 |
| HadGEM3-GC5-EERIE-N216-ORCA025 | 1851 - 1960 |
| HadGEM3-GC5-EERIE-N640-ORCA12 | 1851 - 1900 |
- DKRZ account for IFS/FESOM and ICON (Science Hour presentation from Fabian Wachsmann
- use python3/unstable as kernel
- JASMIN for UM/NEMO, IFS/NEMO and IFS (Science Hour presentation from Malcolm Roberts)
- For unstructured meshes:
/COMMON/FESOM2_ICON_grids_easy_plot_and_interpolate.ipynb - For data interpolated to regular grid:
COMMON/Soon_not_be_created_interpolated_ocean_data_start.ipynb - For interpolation from NEMO/FESOM/IFS/UM grid to regular grid:
COMMON/Soon_not_be_created_interpolate_to_regular.ipynb - For effective parallel aggregations with dask:
COMMON/Soon_not_be_created_parallel_aggregations_with_dask.ipynb
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.
- Basics (access data on the original grid, get data for one time step, open grid, have a look at the data)
- Regridding to a regular grid
- Plotting global and regional maps
- Finding a point nearest to coordinates, extracting time series
- Finding a set of points closest to a transect, plotting the transect
- Effective, parallel aggregations
- Area integral, Volume integral
- Curl
- Transport through a transect
- Compute AMOC
- SST, daily
- SSH, daily
- ...
- easy.gems as a user-driven site for documenting high-resolution climate simulation output and its increasingly challenging analysis
- Cycle 2 nextGEMS Hackathon repository
- Cycle 3 nextGEMS Hackthon repository
We welcome contributions to the EERIE_hackathon_2023 project! Depending on the extent of your contributions, you can follow one of the two processes:
For small, one-time contributions, please follow the standard GitHub process:
- Fork the repository.
- Create a new branch in your fork.
- Make your changes and commit them to your branch.
- Create a Pull Request (PR) from your branch to the main repository.
If you plan to make many contributions, you may request write access to the repository. Even with write access, it's best practice to:
- Create a new branch for your changes.
- Commit your changes to that branch.
- 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!
- IFS website
- FESOM2 GitHub repo
- FESOM2 documentation
- pyfesom2, python library to work with FESOM2 data
- fint FESOM2 interpolation command line utilities