Update README.md

README.md

@@ -4,9 +4,23 @@ Fortran code for a hybrid model that combines an atmospheric general circulation
 
 ## Installation Instructions
 Download the SPEEDY-ML model with:
-<pre><code> $ git clone 
+<pre><code> $ git clone [email protected]:Arcomano1234/SPEEDY-ML.git
 </code></pre>
 
+##Quick Setup
+1. Fill in the necessary information in config.sh
+
+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.
+
+3. Run scripts/regrid_data.sh
+
+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.
+
+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.
+
+6. After the predictions are done, a number of python scripts are provided to analyze the forecasts or climate simulations 
+
 ## Training Data
+To download training data first