@@ -15,6 +15,7 @@ The documentation and this README are work in progress.
# Requirements
This project requires python 3.11 or higher.
TBD, see pyproject.toml
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@@ -23,7 +24,7 @@ TBD, see pyproject.toml
Move to the folder you want to download this project to.
We now need to download the source code from the [repository](https://gitlab.jsc.fz-juelich.de/esde/toar-public/toargridding/-/tree/dev?ref_type=heads) either as ZIP file or via git:
This notebook provides an example on how to download data, apply gridding and save the results as [netCDF files](https://docs.xarray.dev/en/stable/user-guide/io.html).
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As the gridding is done offline, it will be executed for already downloaded files, whenever the notebook is rerun. Please note, that the file name for the gridded data also contains the date of creation.
```bash
poetry run jupyter notebook example/produce_data_withOptional.ipynb
This example is based on the previous one but uses additional arguments to reduce the number of stations per request. As an example, different classifications of the stations are used: first the "toar1_category" and second the "type_of_area".
Details can be found in [documentation of the FastAPI REST interface](https://toar-data.fz-juelich.de/api/v2/#stationmeta) or the [user guide](https://toar-data.fz-juelich.de/sphinx/TOAR_UG_Vol03_Database/build/latex/toardatabase--userguide.pdf).
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@@ -123,7 +133,7 @@ The selection of only a limited number of stations leads to significant faster r
## Retrieving data
```bash
poetry run jupyter notebook example/get_sample_data_manual.ipynb