update links and review text

docs/about/user_support/index.md

@@ -53,9 +53,9 @@ Click on the questions to unfold the answers.
 
     Both observational and model data is hosted by the National Computational Infrastructure (NCI) under different projects. 
 
-    Go to our [**Observational Data**](/model_evaluation/model_evaluation_observational_catalogs) section on the ACCESS-Hive to learn how to find and access observational data.
+    Go to our [**Observational Data**](/model_evaluation/data/observations) section on the ACCESS-Hive to learn how to find and access observational data.
 
-    Go to our [**Model Data**](/model_evaluation/model_evaluation_model_catalogs) section on the ACCESS-Hive to learn how to find and access model data.
+    Go to our [**Model Data**](/model_evaluation/data/model_catalogs) section on the ACCESS-Hive to learn how to find and access model data.
 
     In both cases, you need to have access to the specific projects at NCI in order to read the data. For more information, check the [**First Steps**](/getting_started/first_steps) page.
 

docs/model_evaluation/evaluation_on_gadi/esmvaltool_workflow.md

@@ -44,15 +44,15 @@ To load the the *esmvaltool* module, execute the following commands:
     module load esmvaltool
 ```
 
-*esmvaltool* is pre-configured to access CMIP and observation datasets available on Gadi.
-By default, *ESMValTool* looks for the *config_user.yml* file in the home directory, inside the *.esmvaltool* folder.
-You can get a copy by running:
+This *esmvaltool* module is pre-configured to access CMIP and observation datasets available on Gadi.
+By default, ESMValTool looks for the *config_user.yml* file in the home directory, inside the *.esmvaltool* folder.
+To start, you can get a copy in your home directory, *.esmvaltool* folder by running the below or use the `--path=dest` flag to save elsewhere.
 
 ```
-esmvaltool config get_config_user --path=dest
+esmvaltool config get_config_user
 ```
 
-To list which <i>ESMValTool</i> recipes are available on <i>Gadi</i>, run:
+To list which ESMValTool recipes are available on <i>Gadi</i>, run:
 ```
 esmvaltool recipes list
 ```
@@ -106,9 +106,9 @@ A list of <i>ESMValTool</i> recipes available on <i>Gadi</i> can be found on the
 
 ## Support
 
-To get help running your <i>ESMValTool</i> recipe on <i>Gadi</i>, you can submit an issue on the <a href="https://github.com/ACCESS-NRI/ESMValTool-workflow.git" target="_blank">ESMValTool-Workflow</a> GitHub repository or ask for help on the <a href="https://access-hive.org.au" target="_blank">ACCESS-Hive Forum</a>.
+To get help running your ESMValTool recipe on <i>Gadi</i>, you can submit an issue on the <a href="https://github.com/ACCESS-NRI/ESMValTool-workflow.git" target="_blank">ESMValTool-Workflow</a> GitHub repository or ask for help on the <a href="https://access-hive.org.au" target="_blank">ACCESS-Hive Forum</a>.
 
-General <i>ESMValTool</i> support (i.e. non-specific to <i>Gadi</i>) can be found on the <a href="https://github.com/ESMValGroup/ESMValTool/discussions" target="_blank">ESMValTool Discussions</a> page, where users can also post technical questions on the <i>ESMValTool</i> installation, application and development.
+General ESMValTool support (i.e. non-specific to <i>Gadi</i>) can be found on the <a href="https://github.com/ESMValGroup/ESMValTool/discussions" target="_blank">ESMValTool Discussions</a> page, where users can also post technical questions on the ESMValTool installation, application and development.
 
 ### Recipes and diagnostics
 

docs/model_evaluation/evaluation_on_gadi/index.md

@@ -1,10 +1,15 @@
 # Model Evaluation on Gadi
+
+Model evaluation is about measuring how fit for purpose a particular model is. 
+
+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. 
+
 ## What is Model Evaluation and Diagnostics?
 
 Model Evaluation and Diagnostics (often shortened to "MED" at ACCESS-NRI) of ACCESS models includes:
 
 - **Evaluation**<br>
-    Model evaluation involves scrutinising a model's performance by comparing its output with observations. It also includes experiment comparisons, model testing with different scenarios and inter-model comparisons such as those used to prepare for Coupled Model Intercomparison Project (CMIP) submissions. For further explainations on experiements see [here](about/user_support/#frequently-asked-questions-faq).
+    Model evaluation involves scrutinising a model's performance by comparing its output with observations. It also includes experiment comparisons, model testing with different scenarios and inter-model comparisons such as those used to prepare for Coupled Model Intercomparison Project (CMIP) submissions. For further explainations on experiements see [here](../../about/user_support/#frequently-asked-questions-faq).
 
 - **Diagnostics**<br>
     Model diagnostics is the constant monitoring of model runs to detect any anomalies or inconsistencies. 
@@ -31,7 +36,7 @@ While evaluation and diagnostics can be described separately they often overlap
         </div>
         <div class="card-text-container bold">COSIMA cookbook</div>
     </a>
-    <a href="../model_diagnostics" class="vertical-card aspect-ratio2to1">
+    <a href="model_live_diagnostics" class="vertical-card aspect-ratio2to1">
         <div class="card-image-container">
             <img src="../../assets/model_evaluation/live_diagnostics/tutorial_image_4.png" alt="Model Live Diagnostics" class="img-contain white-background"></img>
         </div>

docs/model_evaluation/index.md

@@ -1,10 +1,7 @@
 #  Data and Model Evaluation 
 
-<!-- Model evaluation is about measuring how fit for purpose a particular model is. 
 
-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. 
--->
-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.
+In this section you will find some collated information on data in the context of climate modelling which is important for model evaluation. Then there is also a collation of model evaluation tools available on *Gadi*. 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.
 <!--## Prerequisites
 
 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): -->

docs/model_evaluation/model_diagnostics/index.md

@@ -1,3 +1,5 @@
+<!-- SUPERSEDED COPY - current in evaluation_on_gadi folder (model_live_diagnostics.md) 
+this page is referenced in run-a-model pages and links will be updated -->
 # ACCESS-NRI Model Live Diagnostics
 
 ## What is Model Live Diagnostics?