diff --git a/README.md b/README.md
index faeb232..a2d3805 100644
--- a/README.md
+++ b/README.md
@@ -13,7 +13,7 @@ A python toolbox for deriving rainfall information from commercial microwave lin
 Installation
 ------------
 
-`pycomlink` is tested with Python 3.9 and 3.10. There have been problems with Python 3.8, see https://github.com/pycomlink/pycomlink/pull/120. Many things might work with older version, but there is no support for this.
+`pycomlink` is tested with Python 3.9, 3.10 and 3.11. There have been problems with Python 3.8, see https://github.com/pycomlink/pycomlink/pull/120. Many things might work with older version, but there is no support for this.
 
 It can be installed via [`conda-forge`](https://conda-forge.org/):
 
@@ -45,7 +45,13 @@ Usage
 The following jupyter notebooks showcase some use cases of `pycomlink`
 
  * [Basic example CML processing workflow](http://nbviewer.jupyter.org/github/pycomlink/pycomlink/blob/master/notebooks/Basic%20CML%20processing%20workflow.ipynb)
- * more to come... (see some [notebooks with old outdated pycomlink API](https://github.com/pycomlink/pycomlink/tree/master/notebooks/outdated_notebooks))
+ * [Compare interpolation methods](https://nbviewer.org/github/pycomlink/pycomlink/blob/master/notebooks/Compare%20interpolation%20methods.ipynb)
+ * [Get radar data along CML paths](https://nbviewer.org/github/pycomlink/pycomlink/blob/master/notebooks/Get%20radar%20rainfall%20along%20CML%20paths.ipynb)
+ * [Nearby-link approach for rain event detection from RAINLINK](https://nbviewer.org/github/pycomlink/pycomlink/blob/master/notebooks/Nearby%20link%20approach%20processing%20example.ipynb)
+ * [Compare different WAA methods](https://nbviewer.org/github/pycomlink/pycomlink/blob/master/notebooks/Wet%20antenna%20attenuation.ipynb)
+ * [Detect data gaps stemming from heavy rainfall events that cause a loss of connection along a CML](https://nbviewer.org/github/pycomlink/pycomlink/blob/master/notebooks/Blackout%20gap%20detection%20examples.ipynb)
+
+Note that the links point to static versions of the example notebooks. You can run all these notebook online via mybinder if you click on the "launch binder" buttom at the top.
 
 Features
 --------
diff --git a/docs/whats-new.rst b/docs/whats-new.rst
index c653cf0..923fc6b 100644
--- a/docs/whats-new.rst
+++ b/docs/whats-new.rst
@@ -2,8 +2,22 @@
 What's New
 **********************
 
-Unreleased
-----------
+
+v0.3.9
+------
+
+Enhancements
+~~~~~~~~~~~~
+* Added IDW and Kriging interpolation comparison noteboook (by cchwala in PR #132)
+
+Maintenance
+~~~~~~~~~~~~
+* Updated README with current list of example notebooks
+* Removed pinning of scipy and pandas versions (by cchwala in PR #132)
+
+Bug fixes
+~~~~~~~~~
+* Added test for Kriging and fixed wrong naming of IDW test (by cchwala in PR #132)
 
 
 v0.3.8
diff --git a/setup.py b/setup.py
index de23c38..5aec210 100644
--- a/setup.py
+++ b/setup.py
@@ -20,7 +20,7 @@ def read(fname):
 
 setup(
     name = "pycomlink",
-    version = "0.3.8",
+    version = "0.3.9",
     author = "Christian Chwala",
     author_email = "christian.chwala@kit.edu",
     description = ("Python tools for CML (commercial microwave link) data processing"),
@@ -28,7 +28,7 @@ def read(fname):
     keywords = "microwave links precipitation radar cml",
     url = "https://github.com/pycomlink/pycomlink",
     download_url = (
-        "https://github.com/pycomlink/pycomlink/archive/0.3.8.tar.gz"),
+        "https://github.com/pycomlink/pycomlink/archive/0.3.9.tar.gz"),
     packages=find_packages(exclude=['test']),
     include_package_data=True,
     long_description=read('README.md'),