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Updated Readme.md, prepare release 1.02.00

1.02.00
Sven Karsten 5 months ago
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Readme.md

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This is the repository for basic postprocess tasks for the individual models.
The goal is to provide scripts for
* processing the raw model output into the format "1 file per variable"
* creating basic plots of seansonal means and time series for
* creating basic plots of seasonal means and time series for
* stations (specific coordinates)
* regions (rectangles)
* regions (rectangles or defined by mask files)
* compare to given reference data
* compare to other models
* performing model specific tasks as
* preparing ocean model's output for Hagen Radtke's validator,
see https://openresearchsoftware.metajnl.com/articles/10.5334/jors.259/
@ -24,17 +25,23 @@ https://sven-karsten.github.io/iow_esm/usage/create_postprocess_task.html.
# Versions
## 1.02.00 (in preparation)
## 1.02.00 (latest release)
| date | author(s) | link |
|--- |--- |--- |
| 2022-11-28 | SK | XXX |
| 2022-12-22 | SK | [1.02.00](https://git.io-warnemuende.de/iow_esm/postprocess/src/branch/1.02.00) |
<details>
### changes
* main task is now create_validation_report
* validation report is Jupyter notebook containing figures
and links to other notebooks that create these figures
* obsolete tasks plot, plot_time_series, test have been removed
* result directories can have prefix that is defined as "name" in global_settings.py
* fixed bug with empty stations and regions
* regions can be specified by giving mask files
* mask should contain one variable "mask" that is one in the specific region and undefined elsewhere
* ice extent is calculated during processing of raw output
* plotting of seasonally averaged vertical profiles has been added
* variable must be a 4D (3 space + 1 time) variable
@ -43,35 +50,22 @@ https://sven-karsten.github.io/iow_esm/usage/create_postprocess_task.html.
* default dimension is assumed to be 3 (backward compatible)
* seasonal means provide now standard deviation variables
* added Taylor diagrams
* main task is now create_validation_report
* validation report is Jupyter notebook containing figures
and links to other notebooks that create these figures
* other model data can be added to plots (work in progress)
### dependencies
* python environment as anaconda3 or miniconda3
* cdo, nco, (texlive), see load module scripts for your target
* cdo, nco, see load module scripts for your target
### known issues
* plotting on HLRN Berlin not yet possible due to missing python module basemap
* can be circumvented by creating own conda environment via
``` bash
module load anaconda3/2019.10
conda init bash
conda create --name plotting
conda activate plotting
conda install basemap
conda install netCDF4
conda install xarray
```
and adding `conda activate plotting` to your local `load_modules.sh` on blogin
* plotting time series sporadically fails due to yet unknown reason
* None
### tested with
* intensively tested on Berlin's (with workaround) and on Göttingen's HLRN machine on MOM5 and CCLM output
* intensively tested on IOW servers, Berlin's and on Göttingen's HLRN machine on MOM5 and CCLM output
</details>
## 1.01.02 (latest release)
## 1.01.02
| date | author(s) | link |
|--- |--- |--- |

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