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Merge pull request #189 from nusbaume/diag_updates
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Update Diagnostics Lab Intro page
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nusbaume authored Jun 24, 2024
2 parents c4ffd3a + 7893608 commit 53f128c
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24 changes: 15 additions & 9 deletions notebooks/diagnostics/diagnostics.ipynb
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},
"source": [
"_______________\n",
"Once the CESM model has been run and the output data has been transfered to the short term archive Directory the real job of understanding how the simulation ran and what it means from a scientific perspective begins. By this point you have run a number of simulations and have looked at model output using `ncview`. There is no supported CESM diagnostics package that is used by all CESM model components. \n",
"Once the CESM model has been run and the output data has been transfered to the short term archive directory the real job of understanding how the simulation ran and what it means from a scientific perspective begins. \n",
"\n",
"In this section you will practice plotting output from the individual model components that may be useful to you to better understand your model output. We use Jupyter Notebooks for this exercise, though many [CESM analysis tools](https://ncar.github.io/CESM-Tutorial/notebooks/diagnostics/additional/analysis_tools.html) are available.\n",
"By this point you have run a number of simulations and have looked at model output using `ncview`. In this lab you will go beyond `ncview` by using Python plotting and analysis methods in Jupyterhub to produce additional diagnostic results. There is also a complete CESM diagnostics system currently under active development called [CUPiD](https://github.com/NCAR/CUPiD) that you will get to try out as well, although please note that it is still in its very early stages. Finally, please note that there are many other [CESM analysis tools](https://ncar.github.io/CESM-Tutorial/notebooks/diagnostics/additional/analysis_tools.html) and projects available as well, but not all will be covered here.\n",
"\n",
"To start running the Jupyter Notebooks provided for this tutorial, follow the steps below."
]
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"source": [
"This will take you to a page where you enter your username and password, exactly as you do to login to derecho or casper. After you do this and click \"Sign In\" you will get a Duo verification request as well."
"This will take you to a page where you enter your username and password. Enter your username as you would for Derecho, but your password will be the following: \n",
"\n",
"**Derecho password,Duo Pin**\n",
"\n",
"Where \"Duo Pin\" is the six numbers you can find in your Duo app under the \"UCAR\" Account listing. **Please note that the comma ( , ) must also be there separating the password from the Duo Pin.**"
]
},
{
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"source": [
"<center><img src=\"../../images/diagnostics/login/Diagnostics_duo_pcode.png\" alt=\"DUO pcode\" width=\"450\"/></center>"
]
},
{
"cell_type": "markdown",
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"Start your server on JupyterHub."
"After you do this and click \"Sign In\" you will be taken to a Server landing page where you will need to start your sever on Jupyterhub."
]
},
{
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"After selecting \"Casper PBS Batch\" you need to make other choices to select the right resources. You should use the queue and project account keys specified below. You may also want to request `03:00:00` for your Wall Time so that your server is active for the entire hands-on activity session. Do not change any other selection for this tutorial. If you are doing further analysis of model experiments you may need to change these settings and can find more information at the [CISL Documentation about JupyterHub](https://arc.ucar.edu/knowledge_base/70549913).\n"
"After selecting \"Casper PBS Batch\" you need to make other choices to select the right resources. You should use the queue and project account keys specified below. You may also want to request `03:00:00` for your Wall Time so that your server is active for the entire hands-on activity session. Do not change any other selection for this tutorial. If you are doing further analysis of model experiments you may need to change these settings and can find more information in the [CISL Documentation about JupyterHub](https://arc.ucar.edu/knowledge_base/70549913).\n"
]
},
{
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
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"version": "3.10.13"
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