New Workflow: Wave Height from Buoy

README.md

@@ -37,6 +37,7 @@ This cookbook is broken into two main sections:
 ### Geoscience Workflows
 
 - _"Atmospheric Data: Nino 3 SST Index"_: Learn how to apply wavelets to real atmospheric and oceanic data to generate a power wavelet scalogram, similar to the 1999 paper ["A Practical Guide to Wavelet Analysis"](https://psl.noaa.gov/people/gilbert.p.compo/Torrence_compo1998.pdf) by Torrence and Compo in Python
+- _"Buoys and Wave(let)s"_: Apply wavelets to understand how wave heights and energy change over years of data with historical records from NOAA's National Data Buoy Center
 
 ## Running the Notebooks
 

myst.yml

@@ -21,6 +21,7 @@ project:
     - title: Geoscience Workflows
       children:
         - file: notebooks/example-workflows/nino3.ipynb
+        - file: notebooks/example-workflows/buoy-wave-height
   jupyter:
       binder:
         repo: projectpythia/wavelet-cookbook

notebooks/example-workflows/nino3.ipynb

@@ -466,7 +466,7 @@
     "\n",
     "### What's next?\n",
     "\n",
-    "- [Learn how more about PyWavelets](https://pywavelets.readthedocs.io/en/latest/regression/index.html)\n"
+    "- Buoys and Wave(lets)\n"
    ]
   },
   {
@@ -495,7 +495,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.13.1"
+   "version": "3.13.2"
   },
   "nbdime-conflicts": {
    "local_diff": [