ADD: Add projects to toc and update title of DDA notebook (#107)

* ADD: Add projects to toc and update title of DDA notebook

* ADD: Add pr tags

* FIX: Update the dockerfile

.github/workflows/build-book-pullrequest.yaml

@@ -28,7 +28,7 @@ permissions:
   contents: read
 
 env:
-  DOCKER_TAG: pr_104
+  DOCKER_TAG: pr_107
 
 jobs:
   build-book:

.github/workflows/build-book.yaml

@@ -25,7 +25,7 @@ on:
         type: string  # had a lot of trouble with boolean types, see https://github.com/actions/runner/issues/1483
 
 env:
-  DOCKER_TAG: pr_104
+  DOCKER_TAG: pr_107
 
 jobs:
   build-container:

binder/Dockerfile

@@ -1 +1 @@
-FROM ghcr.io/openradar/erad2024:pr_104
+FROM ghcr.io/openradar/erad2024:pr_107

myst.yml

@@ -76,13 +76,13 @@ project:
         - title: LROSE
           children:
             - file: notebooks/lrose/LROSE_Basics.ipynb
-            - file: notebooks/lrose/DD_Tornado_ERAD24.ipynb
-
             - file: notebooks/lrose/testing/stress_testing.ipynb
     - title: Project Workflows
       children:
+        - file: projects.md
         - title: LROSE & PyDDA multi doppler analysis
           children:
+            - file: notebooks/lrose/DD_Tornado_ERAD24.ipynb
             - file: notebooks/Retrieving_winds_with_pydda.ipynb
             - file: notebooks/lrose/LROSE_ERAD_fractl_samurai.ipynb
         - title: ARCO Radar Datasets
@@ -105,7 +105,6 @@ project:
     output_matplotlib_strings: remove
 site:
   options:
-    favicon: notebooks/images/icons/favicon.ico
     logo: notebooks/images/logos/erad_white_background.png
     logo_dark: notebooks/images/logos/erad_white_background.png
   nav:

notebooks/lrose/DD_Tornado_ERAD24.ipynb

@@ -5,7 +5,7 @@
    "id": "0",
    "metadata": {},
    "source": [
-    "# MULTI DOPPLER ANALYSIS \n",
+    "# Introduction to Multidoppler Analysis\n",
     "## COURSE: Open Radar - Open Source Software Tools for Radar Data Processing \n",
     "### ERAD - Rome, 9-13 September 2024\n",
     "\n",

projects.md

@@ -0,0 +1,14 @@
+# Projects Overview
+
+## [Wind Retrievals over Complex Terrain with LROSE and PyDDA](notebooks/lrose/DD_Tornado_ERAD24.ipynb)
+Within this project, students will use LROSE wind tools and PyDDA to derive 3-dimensional wind retrievals over complex terrain across Europe and beyond.
+
+## [Spaceborne / Ground Radar Comparison with GPM-API, xradar and wradlib](notebooks/gpm-api/SR_GR_Calibration_Applied.ipynb)
+Students will compare spaceborne radar data, from the Global Preciptiation Measurement (GPM) suite of instruments, to ground radar across Italy. They will use a suite of openradar tools to complete this comparison.
+
+## [Creating analysis-ready data with xradar with Quasi-Vertical Profiles (QVPs)](notebooks/Analysis-Ready/ARCO-Datasets.ipynb)
+In this project, students will demonstrate how utilizing radar data in the Analysis-Ready Cloud-Optimized (ARCO) format enables efficient computation of Quantitative Precipitation Estimates (QPE) and Quasi-Vertical Profiles (QVP). The ARCO format ensures that radar data is pre-processed, clean, and well-organized, significantly reducing the time spent on data preparation and cleaning.
+
+## [Quantative Precipitation Estimation (QPE) in Northern Italy](notebooks/pyrad/description-pyrad-tutorial.ipynb)
+
+In this project we will learn how to setup a data processing chain for radar rainfall rate retrieval. The project will show the main steps involved between reading raw polarimetric moments to comparing rainfall rate retrievals with rain gauges, including clutter filtering, PhiDP estimation, KDP retrieval, etc. During the course, the processing chain implementation will be performed with [Pyrad](https://github.com/meteoswiss/pyrad). Examples of how to implement a processing chain using other available software packages will be provided as post-course material.