🟢 Step 1:
In this dynamic_topography folder, start the docker container
docker run -p 8888:8888 --rm -it -v `pwd`:/workspace/ gplates/pygplates-dt
🟢 Step 2:
Check the following list and copy the reconstruction model into the "reconstructions" folder
https://drive.google.com/file/d/1zKTMStjwI9DlS4pSDwJWNfa06Ok1PswQ/view?usp=sharing
Edit model_config.py to add the new model
🟢 Step 3.
Copy the mantle frame grids into folder ./models/{*MODEL_NAME*}
🟢 Step 4.
Open and run generate_plate_ref_frame_grids.ipynb and this will generate plate frame grids in folder ./models/{*MODEL_NAME*}/Dynamic_topography/dist/PlateFrame
Open and run generate_images.ipynb and the images will be in folder ./models/{*MODEL_NAME*}/Dynamic_topography/dist
🟢 Step 5.
Update portal (optional, only if you need add the model to GPlates Portal website)
Copy files to portal_home/DynamicTopography/Models
Change file portal/dynamic_topography_models.py and portal/dynamic_topography.py
On Dev server: http://localhost:8888/portal/dynamic_topography_reset_db/
On Prod server: https://portal.gplates.org/portal/dynamic_topography_reset_db
Note: Important! Please read!!
You need to have the "models" and "reconstructions" folders in the current working directory.
The two folders can be found at EarthByte NAS /Public/EarthByteData/PlateRefFrameDynamicTopography.
See How to access the EarthByte NAS
You also need to make a "tmp" directory in the current working directory.
🟢 Generate a profile PNG plot
python3 DynamicTopographyProfile.py 10 0 test.png ./ gld98
🟢 Generate a CSV file containing the profile data
python3 DynamicTopographyProfile.py 10 0 test.csv ./ gld98
- 10 is the longitude
- 0 is the latitude
- test.png and test.csv is the output file name
- ./ means the current working directory
- gld98 is the model name
Note: Important! Please read!!
You need to copy the data folder into your current working directory from EarthByte NAS /Public/EarthByteData/PlateRefFrameDynamicTopography.