Running the bris model in Forecast-in-a-Box and anemoi-inference
Project description
Bris in Forecast-in-a-Box
WIP - this is not yet ready to be used for anything.
This contains the neccessary components to run the bris model in anemoi inference and Forecast-in-a-Box. It consists of several parts:
- Plugins for anemoi-inference
- A tool to adapt a checkpoint so it can run in anemoi-inference
- Later, docs for how to add this to Forecast-in-a-Box will be added
Getting started
In order to get started, you need access to a bris checkpoint, such as Cloudy Skies.
Setting up
uv sync
Running inference
uv run main.py
This works around bugs related to running on a mac, at the cost of a little flexibility.
In the future
uv run anemoi-inference run config.yaml
Checkpoint
In order to run, you need a bris checkpoint, and optionally a geotiff file containing orograpghy data for your target area.
Preparing
The variable definition in the metadata for the original bris checkpoint needs to be update to run on anemoi-inference. Updateing the checkpoint owerwrite the checkpoint so it's a good idea to make a copy of the original checkpoint before running the update command.
ex.
cp cloudy-skies.ckpt anemoi-cloudy-skies.ckpt
uv run update_metadata.py --checkpoint anemoi-cloudy-skies.ckpt
update_metadata.py find the variable dataset.variables_metadata, and replace with this yaml.
Setting area
You need to modify your checkpoint's graph in order to run for a specific area.
Getting detailed orography information
If you want to do adiabatic correction of the forecast data, you need to add real elevation information to the checkpoint. One way to get that is by adapting data from opentopography.
Note At the moment, you need to download data for an area that is larger than your target area!
To help with downloading the orography you can use this:
uv run download_orography.py --area-latlon -7 29 -23 44 --dest-path hires_topography.tif
For this to work you need an api-key to access the rest api on opentopography
To create an account on opentopography.org go to https://portal.opentopography.org/login. You will find the API key by pressing menu item MyOpenTopo. Save the key in $HOME/..opentopographyrc. This is a json file with format:
{
"api_key": "THE API KEY"
}
The downloaded high-resolution topography can then be used as input when updating the checkpoint.
Updating checkpoint
Run the following command to generate a new checkpoint:
uv run update_checkpoint.py \
--area-latlon -8 30 -22 43 0.025 \
--topography-file hires_topography.tif \
--original-checkpoint bris-checkpoint.ckpt \
--create-checkpoint new-checkpoint.ckpt
You can skip the --topography-file option if you will not do orographic corrections of the data.
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