diff --git a/README.md b/README.md
index 9c83e78187..fab6b7a459 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
@@ -58,7 +58,7 @@ representations become unwieldy and inefficient.
[units](https://github.com/SciTools/cf_units), and coordinate metadata
are built-in to Iris, giving you a rich and expressive interface for maintaining
an accurate representation of your data. Its first-class treatment of data and
-associated metadata, includes:
+associated metadata includes:
* aggregations and reductions (min, max, (area-)weighted mean, etc.)
* interpolation and regridding (nearest-neighbor, linear, area-weighted, etc.)
diff --git a/docs/iris/src/_templates/index.html b/docs/iris/src/_templates/index.html
index e444067911..ea8f4d0133 100644
--- a/docs/iris/src/_templates/index.html
+++ b/docs/iris/src/_templates/index.html
@@ -73,18 +73,48 @@
{% block body %}
-
-Iris seeks to provide a powerful, easy to use, and community-driven Python library for analysing and visualising meteorological and oceanographic data sets.
+
+
+
+ Iris implements a data model based on the CF conventions
+ giving you a powerful, format-agnostic, interface for working with your data.
+ It excels when working with multi-dimensional Earth Science data, where tabular
+ representations become unwieldy and inefficient.
-With Iris you can:
+ CF Standard names,
+ units, and coordinate metadata
+ are built-in to Iris, giving you a rich and expressive interface for maintaining
+ an accurate representation of your data. Its first-class treatment of data and
+ associated metadata includes:
+
- - Use a single API to work on your data, irrespective of its original format.
-
- Read and write (CF-)netCDF, GRIB, and PP files.
- - Easily produce graphs and maps via integration with matplotlib and cartopy.
+ - aggregations and reductions (min, max, (area-)weighted mean, etc.)
+ - interpolation and regridding (nearest-neighbor, linear, area-weighted, etc.)
+ - operator overloads (
+
, -
, *
, /
, etc.)
+ - merge and concatenate
+ - subsetting and extraction
+ - unit conversion
+ - a visualisation interface based on matplotlib and
+ cartopy
+
+ A number of file formats are recognised by Iris, including CF-compliant NetCDF, GRIB,
+ and PP, and it has a plugin architecture to allow other formats to be added seamlessly.
+
+
+ Building upon numpy and
+ dask,
+ Iris scales from efficient single-machine workflows right through to multi-core
+ clusters and HPC.
+ Interoperability with packages from the wider scientific python ecosystem comes from Iris'
+ use of standard numpy/dask arrays as its underlying data storage.
+
-
diff --git a/docs/iris/src/_templates/layout.html b/docs/iris/src/_templates/layout.html
index 93ed6b19a7..c28efe8683 100644
--- a/docs/iris/src/_templates/layout.html
+++ b/docs/iris/src/_templates/layout.html
@@ -89,4 +89,6 @@
{%- endif %}
+
+
{% endblock %}