diff --git a/doc/faq.rst b/doc/faq.rst
index 68670d0f5a4..46f1e20f4e8 100644
--- a/doc/faq.rst
+++ b/doc/faq.rst
@@ -157,6 +157,69 @@ and CDAT have some great domain specific functionality, and we would love to
 have support for converting their native objects to and from xarray (see
 :issue:`37` and :issue:`133`)
 
+
+What other projects leverage xarray?
+------------------------------------
+
+Here are several existing libraries that build functionality upon xarray.
+
+Geosciences
+~~~~~~~~~~~
+
+- `aospy <https://aospy.readthedocs.io>`_: Automated analysis and management of gridded climate data.
+- `infinite-diff <https://github.com/spencerahill/infinite-diff>`_: xarray-based finite-differencing, focused on gridded climate/meterology data
+- `marc_analysis <https://github.com/darothen/marc_analysis>`_: Analysis package for CESM/MARC experiments and output.
+- `MPAS-Analysis <http://mpas-analysis.readthedocs.io>`_: Analysis for simulations produced with Model for Prediction Across Scales (MPAS) components and the Accelerated Climate Model for Energy (ACME).
+- `OGGM <http://oggm.org/>`_: Open Global Glacier Model
+- `Oocgcm <https://oocgcm.readthedocs.io/>`_: Analysis of large gridded geophysical datasets
+- `Open Data Cube <https://www.opendatacube.org/>`_: Analysis toolkit of continental scale Earth Observation data from satellites.
+- `Pangaea: <https://pangaea.readthedocs.io/en/latest/>`_: xarray extension for gridded land surface & weather model output).
+- `Pangeo <https://pangeo-data.github.io>`_: A community effort for big data geoscience in the cloud.
+- `PyGDX <https://pygdx.readthedocs.io/en/latest/>`_: Python 3 package for
+  accessing data stored in GAMS Data eXchange (GDX) files. Also uses a custom
+  subclass.
+- `Regionmask <https://regionmask.readthedocs.io/>`_: plotting and creation of masks of spatial regions
+- `salem <https://salem.readthedocs.io>`_: Adds geolocalised subsetting, masking, and plotting operations to xarray's data structures via accessors.
+- `Spyfit <https://spyfit.readthedocs.io/en/master/>`_: FTIR spectroscopy of the atmosphere
+- `windspharm <https://ajdawson.github.io/windspharm/index.html>`_: Spherical
+  harmonic wind analysis in Python.
+- `wrf-python <https://wrf-python.readthedocs.io/>`_: A collection of diagnostic and interpolation routines for use with output of the Weather Research and Forecasting (WRF-ARW) Model.
+- `xarray-simlab <https://xarray-simlab.readthedocs.io>`_: xarray extension for computer model simulations.
+- `xarray-topo <https://gitext.gfz-potsdam.de/sec55-public/xarray-topo>`_: xarray extension for topographic analysis and modelling.
+- `xbpch <https://github.com/darothen/xbpch>`_: xarray interface for bpch files.
+- `xESMF <https://xesmf.readthedocs.io>`_: Universal Regridder for Geospatial Data.
+- `xgcm <https://xgcm.readthedocs.io/>`_: Extends the xarray data model to understand finite volume grid cells (common in General Circulation Models) and provides interpolation and difference operations for such grids.
+- `xmitgcm <http://xgcm.readthedocs.io/>`_: a python package for reading `MITgcm <http://mitgcm.org/>`_ binary MDS files into xarray data structures.
+- `xshape <https://xshape.readthedocs.io/>`_: Tools for working with shapefiles, topographies, and polygons in xarray.
+
+Machine Learning
+~~~~~~~~~~~~~~~~
+- `cesium <http://cesium-ml.org/>`_: machine learning for time series analysis
+- `Elm <https://ensemble-learning-models.readthedocs.io>`_: Parallel machine learning on xarray data structures
+- `sklearn-xarray (1) <https://phausamann.github.io/sklearn-xarray>`_: Combines scikit-learn and xarray (1).
+- `sklearn-xarray (2) <https://sklearn-xarray.readthedocs.io/en/latest/>`_: Combines scikit-learn and xarray (2).
+
+Extend xarray capabilities
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+- `Collocate <https://github.com/cistools/collocate>`_: Collocate xarray trajectories in arbitrary physical dimensions
+- `eofs <https://ajdawson.github.io/eofs/>`_: EOF analysis in Python.
+- `xarray_extras <https://github.com/crusaderky/xarray_extras>`_: Advanced algorithms for xarray objects (e.g. intergrations/interpolations).
+- `xrft <https://github.com/rabernat/xrft>`_: Fourier transforms for xarray data.
+- `xr-scipy <https://xr-scipy.readthedocs.io>`_: A lightweight scipy wrapper for xarray.
+- `X-regression <https://github.com/kuchaale/X-regression>`_: Multiple linear regression from Statsmodels library coupled with Xarray library.
+
+Visualization
+~~~~~~~~~~~~~
+- `Datashader <https://datashader.org>`_, `geoviews <http://geo.holoviews.org>`_, `holoviews <http://holoviews.org/>`_, : visualization packages for large data
+- `psyplot <https://psyplot.readthedocs.io>`_: Interactive data visualization with python.
+
+Other
+~~~~~
+- `ptsa <https://pennmem.github.io/ptsa_new/html/index.html>`_: EEG Time Series Analysis
+- `pycalphad <https://pycalphad.org/docs/latest/>`_: Computational Thermodynamics in Python
+
+More projects can be found at the `"xarray" Github topic <https://github.com/topics/xarray>`_.
+
 How should I cite xarray?
 -------------------------
 
diff --git a/doc/internals.rst b/doc/internals.rst
index e5e14896472..170e2d0b0cc 100644
--- a/doc/internals.rst
+++ b/doc/internals.rst
@@ -130,20 +130,3 @@ To help users keep things straight, please `let us know
 <https://github.com/pydata/xarray/issues>`_ if you plan to write a new accessor
 for an open source library. In the future, we will maintain a list of accessors
 and the libraries that implement them on this page.
-
-Here are several existing libraries that build functionality upon xarray.
-They may be useful points of reference for your work:
-
-- `xgcm <https://xgcm.readthedocs.io/>`_: General Circulation Model
-  Postprocessing. Uses subclassing and custom xarray backends.
-- `PyGDX <https://pygdx.readthedocs.io/en/latest/>`_: Python 3 package for
-  accessing data stored in GAMS Data eXchange (GDX) files. Also uses a custom
-  subclass.
-- `windspharm <http://ajdawson.github.io/windspharm/index.html>`_: Spherical
-  harmonic wind analysis in Python.
-- `eofs <http://ajdawson.github.io/eofs/>`_: EOF analysis in Python.
-- `salem <http://salem.readthedocs.io>`_: Adds geolocalised subsetting,
-  masking, and plotting operations to xarray's data structures via accessors.
-
-.. TODO: consider adding references to these projects somewhere more prominent
-.. in the documentation? maybe the FAQ page?
diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index cc5506b553c..aa663e0033c 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -31,6 +31,12 @@ What's New
 v0.10.4 (unreleased)
 --------------------
 
+Documentation
+~~~~~~~~~~~~~
+- `FAQ <http://xarray.pydata.org/en/stable/faq.html#what-other-projects-leverage-xarray>`_ now lists projects that leverage xarray.
+  By `Deepak Cherian <https://github.com/dcherian>`_.
+
+
 Enhancements
 ~~~~~~~~~~~~
 
@@ -45,6 +51,8 @@ Enhancements
   This greatly boosts speed and allows chunking on the core dims.
   The function now requires dask >= 0.17.3 to work on dask-backed data
   (:issue:`2074`). By `Guido Imperiale <https://github.com/crusaderky>`_.
+- ``plot.line()`` learned new kwargs: ``xincrease``, ``yincrease`` that change the direction of the respective axes.
+  By `Deepak Cherian <https://github.com/dcherian>`_.
 
 Bug fixes
 ~~~~~~~~~
@@ -63,8 +71,6 @@ Bug fixes
   By `Stephan Hoyer <https://github.com/shoyer>`_.
 - ``plot.line()`` does not call ``autofmt_xdate()`` anymore. Instead it changes the rotation and horizontal alignment of labels without removing the x-axes of any other subplots in the figure (if any).
   By `Deepak Cherian <https://github.com/dcherian>`_.
-- ``plot.line()`` learned new kwargs: ``xincrease``, ``yincrease`` that change the direction of the respective axes.
-  By `Deepak Cherian <https://github.com/dcherian>`_.
 - Colorbar limits are now determined by excluding ±Infs too.
   By `Deepak Cherian <https://github.com/dcherian>`_.