diff --git a/ci/requirements/doc.yml b/ci/requirements/doc.yml
index d8823e7cbbc..cc6f13e7086 100644
--- a/ci/requirements/doc.yml
+++ b/ci/requirements/doc.yml
@@ -4,7 +4,7 @@ channels:
   - conda-forge
   - nodefaults
 dependencies:
-  - python=3.9
+  - python=3.10
   - bottleneck
   - cartopy
   - cfgrib>=0.9
@@ -23,7 +23,6 @@ dependencies:
   - pandas>=1.4
   - pooch
   - pip
-  - pydata-sphinx-theme>=0.4.3
   - pyproj
   - rasterio>=1.1
   - scipy!=1.10.0
@@ -31,10 +30,10 @@ dependencies:
   - setuptools
   - sparse
   - sphinx-autosummary-accessors
-  - sphinx-book-theme >= 0.0.38
+  - sphinx-book-theme >= 0.3.0
   - sphinx-copybutton
   - sphinx-design
-  - sphinx!=4.4.0
+  - sphinx>=5.0
   - zarr>=2.10
   - pip:
       - sphinxext-rediraffe
diff --git a/doc/conf.py b/doc/conf.py
index c916fde5760..0b6c6766c3b 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -97,8 +97,8 @@
 
 
 extlinks = {
-    "issue": ("https://github.com/pydata/xarray/issues/%s", "GH"),
-    "pull": ("https://github.com/pydata/xarray/pull/%s", "PR"),
+    "issue": ("https://github.com/pydata/xarray/issues/%s", "GH%s"),
+    "pull": ("https://github.com/pydata/xarray/pull/%s", "PR%s"),
 }
 
 # sphinx-copybutton configurations
@@ -244,12 +244,11 @@
     use_repository_button=True,
     use_issues_button=True,
     home_page_in_toc=False,
-    extra_navbar="",
-    navbar_footer_text="",
     extra_footer="""<p>Xarray is a fiscally sponsored project of <a href="https://numfocus.org">NumFOCUS</a>,
     a nonprofit dedicated to supporting the open-source scientific computing community.<br>
     Theme by the <a href="https://ebp.jupyterbook.org">Executable Book Project</a></p>""",
     twitter_url="https://twitter.com/xarray_devs",
+    icon_links=[],  # workaround for pydata/pydata-sphinx-theme#1220
 )
 
 
diff --git a/doc/user-guide/interpolation.rst b/doc/user-guide/interpolation.rst
index 2dc47e9f591..7b40962e826 100644
--- a/doc/user-guide/interpolation.rst
+++ b/doc/user-guide/interpolation.rst
@@ -50,7 +50,7 @@ array-like, which gives the interpolated result as an array.
     # interpolation
     da.interp(time=[2.5, 3.5])
 
-To interpolate data with a :py:doc:`numpy.datetime64 <reference/arrays.datetime>` coordinate you can pass a string.
+To interpolate data with a :py:doc:`numpy.datetime64 <numpy:reference/arrays.datetime>` coordinate you can pass a string.
 
 .. ipython:: python