From 234aec2803d02af7460787ada22630d9143953e8 Mon Sep 17 00:00:00 2001
From: Jesse Nusbaumer <nusbaume@ucar.edu>
Date: Fri, 9 Aug 2024 09:19:32 -0600
Subject: [PATCH] Update ADF notebook, and fix uxarray example environment.

---
 notebooks/diagnostics/additional/adf.ipynb    | 47 ++++++++++---------
 .../diagnostics/additional/uxarray.ipynb      |  6 +--
 2 files changed, 27 insertions(+), 26 deletions(-)

diff --git a/notebooks/diagnostics/additional/adf.ipynb b/notebooks/diagnostics/additional/adf.ipynb
index 8056d9f6d..60af6a759 100644
--- a/notebooks/diagnostics/additional/adf.ipynb
+++ b/notebooks/diagnostics/additional/adf.ipynb
@@ -10,47 +10,48 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b6f4905b-cd2a-454e-89cf-ccc585c90247",
-   "metadata": {
-    "tags": []
-   },
+   "id": "0601ca1c-4cef-4cbb-824b-16c382c66865",
+   "metadata": {},
    "source": [
-    "## Learning Goals\n",
-    "\n",
-    "- Enter learning goals here."
+    "The AMWG Diagnostics Framework (ADF) is a python-based diagnostics package designed to generate a large number of\n",
+    "figures and tables, currently focuses on atmospheric and chemistry fields, for a given CAM or CESM simulation and \n",
+    "compare it observations or a baseline run.  The ADF can also run the CVDP, and has been coupled to CUPiD as well."
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "e73ce5d6-d2b1-4f32-b64f-337a1b02e2d0",
+   "id": "00a8f92d-5b88-4b4f-9411-2878a7411d27",
    "metadata": {},
    "source": [
-    "_______________\n",
-    "\n",
-    "## Subsection 1\n",
-    "\n",
-    "Info here"
+    "![ADF Image](https://justin-richling.github.io/ADF-Tutorial/_images/PRECT_ANN_LatLon_Mean.png)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "815e0869-0518-4cf9-9417-cd9b08965ca1",
+   "id": "749a78ea-65cb-4a27-b56a-aeb385f50b7d",
    "metadata": {},
    "source": [
-    "_______________\n",
-    "\n",
-    "## Subsection 2\n",
+    "## Tutorial:\n",
     "\n",
-    "Info here\n"
+    "The ADF has its own complete tutorial, including an example of doing a model vs. model or model vs. observations comparion.\n",
+    "You can find the tutorial [online here](https://justin-richling.github.io/ADF-Tutorial/README.html)."
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e961b1bd-a1c8-4e54-bafc-46dcf78454f1",
+   "cell_type": "markdown",
+   "id": "9069fe9f-d7c7-4916-b568-2cc28c05ae95",
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "source": [
+    "### Note:"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a4ab2b34-ae67-424a-a0c9-c3bb8ca3f231",
+   "metadata": {},
+   "source": [
+    "The location of the example simulations are now in **\"/glade/campaign/cgd/amp/amwg/ADF_test_cases\"**, with four new case name options.  These new simulations also have different year lengths, so you will need to make the relevant updates in the config file.  Good luck!"
+   ]
   }
  ],
  "metadata": {
diff --git a/notebooks/diagnostics/additional/uxarray.ipynb b/notebooks/diagnostics/additional/uxarray.ipynb
index b02ecaf3e..dc70b6f21 100644
--- a/notebooks/diagnostics/additional/uxarray.ipynb
+++ b/notebooks/diagnostics/additional/uxarray.ipynb
@@ -1002,9 +1002,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [conda env:uxarray-dask]",
+   "display_name": "NPL 2024a",
    "language": "python",
-   "name": "conda-env-uxarray-dask-py"
+   "name": "npl-2024a"
   },
   "language_info": {
    "codemirror_mode": {
@@ -1016,7 +1016,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.11.6"
   }
  },
  "nbformat": 4,