# Running the Model and Visualizing its Outputs Please watch the video for more details. {% embed url="" %} Click the **Run a Model** icon ![](https://2363830371-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FODCd8VK2OOl9jOdp5KFf%2Fuploads%2Fq8eV1o1LoTYMEpKIMQaR%2Fimage.png?alt=media\&token=6fd1fccc-e6b7-45de-b73f-10576110faed), select **Run Pywr** and click **Submit**.
The model will be submitted to run on the cloud. You will see the Run appear in the Runs menu. A blue ribbon means the Run is running.
A yellow ribbon means the Run is queing
A green ribbon means the Run has finished successfully
A red ribbon means the Run has termined with an error.
Clicking on the ribbon opens a window with the Run log. If there is an error, a traceback will appear at the bottom and can be used to help identify why the Run had an error.
Once the model has sucessfully ran, you can click on the various nodes to examine their time series output. In this case, the main output attribute is the 'simulated flow'. Double click on the node of interest. “Simulated\_flow” will be available under the Output Section, click on the edit button ![](https://2363830371-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FODCd8VK2OOl9jOdp5KFf%2Fuploads%2FhfbZ4FYyCKFdshyjHoC2%2Fimage.png?alt=media\&token=e90abbf4-b4a6-4fe4-90e7-80a24230902f)to see results. Click on the Demand node which is the node on the right.
A time series table first appears:
Click on **Plot** to see a plot of the time series.
As the max\_flow of the demand node was set to 0, there is no flow in this node. On the next flow, we will create a new scenario and change the max\_flow of the demand node. What is the simulated flow on the downstream output node representing the river outlet?