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@@ -4,9 +4,23 @@ Fortran code for a hybrid model that combines an atmospheric general circulation | |
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## Installation Instructions | ||
Download the SPEEDY-ML model with: | ||
<pre><code> $ git clone | ||
<pre><code> $ git clone [email protected]:Arcomano1234/SPEEDY-ML.git | ||
</code></pre> | ||
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##Quick Setup | ||
1. Fill in the necessary information in config.sh | ||
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2. If you want to train your model use scripts/get_training_prediction_data.sh. If you want to use an already trained model skip to step 5. | ||
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3. Run scripts/regrid_data.sh | ||
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4. After all of the necessary training data is downloaded and regridded to the SPEEDY horizontal and vertical grid run scripts/train_model.sh . Depending on the number of processors this can take anywhere from 40 minutes to a day. | ||
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5. Run scripts/run_trained_model.sh . This can be used with a small number of CPUs with the only computational requiring being 32 GB of memory alotted to the program. | ||
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6. After the predictions are done, a number of python scripts are provided to analyze the forecasts or climate simulations | ||
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## Training Data | ||
To download training data first | ||
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