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Apply suggestions from Paige's evaluation review
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Co-authored-by: Paige Martin <[email protected]>
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flicj191 and paigem authored Jun 11, 2024
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2 changes: 1 addition & 1 deletion docs/model_evaluation/evaluation_on_gadi/cosima.md
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# COSIMA Cookbook on Gadi


COSIMA is the Consortium for Ocean-Sea Ice Modelling in Australia, which brings together Australian researchers involved in global ocean and sea ice modelling. The <i>COSIMA Cookbook</i> is a collection of <i>cosima-recipes</i> curated on <i>Gadi</i> for analysing output from ocean-sea ice models.
COSIMA is the Consortium for Ocean-Sea Ice Modelling in Australia, which brings together Australian researchers involved in global ocean and sea ice modelling. The <i>COSIMA Cookbook</i> is a collection of computational notebooks (called <i>cosima-recipes</i>) in the form of tutorials and documented examples that are curated on <i>Gadi</i> for analysing output from ocean-sea ice models.

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## What is ESMValTool?

The Earth System Model Evaluation Tool (ESMValTool) is a tool developed for evaluation of Earth System Models in CMIP (Climate Model Intercomparison Projects). It allows for routine comparison of single or multiple models, either against predecessor versions or against observations. ESMValTool is a community-developed climate model diagnostics and evaluation software package, driven both by computational performance and scientific accuracy and reproducibility. It is open to both users and developers, encouraging open exchange of diagnostic source code and evaluation results from the Coupled Model Intercomparison Project CMIP ensemble.
The Earth System Model Evaluation Tool (ESMValTool) is a tool developed for evaluation of Earth System Models in CMIP (Climate Model Intercomparison Projects). It allows for routine comparison of single or multiple models, either against predecessor versions or against observations. ESMValTool is a community-developed climate model diagnostics and evaluation software package, driven both by computational performance and scientific accuracy and reproducibility. It is open to both users and developers, encouraging open exchange of diagnostic source code and evaluation results from the CMIP ensemble of models.

For more information, refer to the official <a href="https://docs.esmvaltool.org/en/latest" target="_blank">ESMValTool documentation</a>.

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</a>
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<div class="note">ACCESS-NRI is supporting an NCI configuration of ESMValTool under the name <i>ESMValTool-workflow</i>. </div>
<div class="note">ACCESS-NRI is supporting a Gadi-specific configuration of ESMValTool under the name <i>ESMValTool-workflow</i>. </div>

*ESMValTool-workflow* is the ACCESS-NRI software and data infrastructure that enables the ESMValTool evaluation framework on NCI Gadi. It includes the <a href="https://github.com/ESMValGroup/ESMValTool" target="_blank">ESMValTool</a>/<a href="https://github.com/ESMValGroup/ESMValCore" target="_blank">ESMValCore</a> Python packages, the <a href="https://docs.esmvaltool.org/en/latest/recipes/index.html" target="_blank">ESMValTool collection of recipes and diagnostics</a> and some <a href="https://geonetwork.nci.org.au/geonetwork/srv/eng/catalog.search#/metadata/f0550_0998_4567_4139" target="_blank">observational datasets</a>. *ESMValTool-workflow* is configured to use the existing NCI supported CMIP data collections.

## Using ESMValTool on Gadi

### Pre-requisites

<i>ESMValTool</i> is provided through the <a href="https://my.nci.org.au/mancini/project/xp65/join" target="_blank">xp65</a> project on Gadi.To enable the <i>ESMValTool-workflow</i>, you need to be a member of the <i>xp65</i> NCI projects.
<i>ESMValTool</i> is provided through the <a href="https://my.nci.org.au/mancini/project/xp65/join" target="_blank">xp65</a> project on Gadi.To enable the <i>ESMValTool-workflow</i>, you need to be a member of the <i>xp65</i> NCI project.

Depending on your needs, you may want to also join the following supported data collections:

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# Model Evaluation on Gadi
## What is MED?
## What is Model Evaluation and Diagnostics?

Model Evaluation and Diagnostics (MED) of ACCESS models includes:
Model Evaluation and Diagnostics (often shortened to "MED" at ACCESS-NRI) of ACCESS models includes:

<ul>
<li><b>Evaluation</b>
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<li>
<b>Diagnostics</b>
<br>
Model diagnostics is essentially constant monitoring of model runs to detect any anomalies or inconsistencies. Thorough analysis of outputs are used to verify the model's accuracy over time.
Model diagnostics is the constant monitoring of model runs to detect any anomalies or inconsistencies.
<br>
</ul>

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## What is Model Live Diagnostics?

<i>Model Live Diagnostics</i> is a simple, accessible and easy to use Jupter-based framework for the ACCESS modelling community to monitor, visualise and evaluate the behaviour of models in real time (<i>live</i>) while they run on <i>Gadi</i>.
<i>Model Live Diagnostics</i> is a simple, accessible and easy-to-use Jupyter notebook-based framework for the ACCESS modelling community to monitor, visualise and evaluate the behaviour of models in real time (<i>live</i>) while they run on <i>Gadi</i>.

In addition to monitoring a live model, the package also provides the functionality to load, visualise and compare legacy ACCESS model data with the live model.

For more information and tutorials, please visit <a href="https://med-live-diagnostics.readthedocs.io/en/latest/index.html" target="_blank">Model Diagnostics Documentation</a>
Below, we show an example of the Model Live Diagnostics Tool. For more information and tutorials, please visit <a href="https://med-live-diagnostics.readthedocs.io/en/latest/index.html" target="_blank">Model Diagnostics Documentation</a>.
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<a href="https://med-live-diagnostics.readthedocs.io/en/latest/index.html" class="vertical-card aspect-ratio2to1" target="_blank">
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## Showcase: Monitoring total seawater mass of an ACCESS-CM2 run
## Example: Monitoring total seawater mass of an ACCESS-CM2 run

In this showcase, monitoring the progress of an [ACCESS Coupled Model 2 (ACCESS-CM2)](/models/run-a-model/run-access-cm) run will be shown.
This example provides a brief demonstration of how the Model Live Diagnostics tool can be use to monitor the progress of an [ACCESS Coupled Model 2 (ACCESS-CM2)](/models/run-a-model/run-access-cm) run.

To start a session that automatically checks for new model output within a given period of 20 minutes:

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Model evaluation in climate science is the process of assessing the performance and reliability of computational models that simulate the Earth's climate system. It involves comparing model predictions to observed data to determine the model's accuracy and usefulness. In doing so, we can understand how well a model represents real-world climate processes and make predictions about future climate trends. Such rigorous model evaluation allows scientists to identify model strengths, weaknesses and uncertainties, as well as refine models to enhance their predictive capabilities.
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If you are new to using Model Evaluation and Diagnostics tools on Gadi visit [First Steps](/getting_started/first_steps) section.
If you are new to using the Gadi supercomputer, visit the [First Steps](/getting_started/first_steps) section for instructions on how to get an account, log in, and get set up to access climate data on Gadi.
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If you are new to MED and are wondering [*"What is Model Evaluation and Diagnostics about?"*](./model_evaluation_getting_started/index.md), we recommend you read our [Getting Started with MED page](./model_evaluation_getting_started/index.md): -->
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