Highlight documentation for derived timeseries

AUTHORS.rst

@@ -25,6 +25,7 @@ The following persons contributed to the development of the |pyam| package:
 - Fridolin Glatter `@glatterf42 <https://github.com/glatterf42>`_
 - Linh Ho `@linhho <https://github.com/LinhHo>`
 - Max Wolschlager `@meksor <https://github.com/meksor>`
+- `@JSap0914 <https://github.com/JSap0914>`_
 
 | The core maintenance of the |pyam| package is done by
   the *Scenario Services & Scientific Software* research theme

RELEASE_NOTES.md

@@ -1,3 +1,10 @@
+# Next Release
+
+## Individual updates
+
+- [#988](https://github.com/IAMconsortium/pyam/pull/988) Highlight documentation
+  for computing derived timeseries data
+
 # Release v3.3.3
 
 ## Highlights

docs/tutorials.rst

@@ -16,6 +16,15 @@ The source code is available in the folder
 .. _`docs/tutorials`:
    https://github.com/IAMconsortium/pyam/tree/main/docs/tutorials
 
+Computing derived timeseries
+----------------------------
+
+To derive new timeseries from existing data, start with the
+:doc:`algebraic operations tutorial <tutorials/algebraic_operations>`, which
+covers adding, subtracting, multiplying and dividing data. For higher-level
+indicators such as shares, quantiles, growth rates and learning rates, see the
+:doc:`derived timeseries API <api/compute>`.
+
 .. toctree::
    :maxdepth: 1