ENH: Small text changes to Home page (#13)

docs/about.md

@@ -1,15 +1,13 @@
 G-ADOPT is currently underpinned by three state-of-the-art software libraries:
 
-1. [Firedrake](https://www.firedrakeproject.org/): an automated system
+1. [Firedrake](https://www.firedrakeproject.org/), an automated system
 for solving partial differential equations using the finite element
-method.  
-
-2. [dolfin-adjoint](https://github.com/dolfin-adjoint/pyadjoint):
-which automatically derives the corresponding representation of discrete
-adjoint equations in a form compatible with Firedrake.  
-
-3. [Rapid Optimisation Library
-(ROL)](https://trilinos.github.io/rol.html): a highly-efficient package for large-scale
-optimization.   
-
-When combined, they provide a geoscientific modelling framework that is highly efficient, with forward and adjoint calculations that achieve theoretical computational efficiency.
+method;
+2. [dolfin-adjoint](https://github.com/dolfin-adjoint/pyadjoint), an algorithmic
+differentiation framework that automatically derives the corresponding representation
+of discrete adjoint equations in a form compatible with Firedrake;
+3. [Rapid Optimisation Library(ROL)](https://trilinos.github.io/rol.html), a highly
+efficient package enabling advanced, large-scale optimization.
+
+Together, they constitute a high-performance geoscientific modelling framework with
+forward and adjoint calculations that achieve theoretical computational efficiency.

docs/index.md

@@ -7,20 +7,21 @@ title: G-ADOPT
 ![Logo](images/gadopt_logo.svg){ align=right width="400" }
 **The Geoscientific ADjoint Optimisation PlaTform (G-ADOPT)** is a next-generation computational platform for simulating geoscientific flows. It is being developed and maintained by researchers from the [Research School of Earth Sciences](https://earthsciences.anu.edu.au/) at the [Australian National University (ANU)](https://www.anu.edu.au/), alongside international partners.
 
-Building on the concepts of composable abstraction and automatic code generation techniques, G-ADOPT provides accurate, efficient, flexible, easily extensible, scalable, transparent, and reproducible open-source research software for (forward and inverse) data-driven geoscientific simulations.
+Building on composable abstraction and automatic code generation techniques, G-ADOPT provides accurate, efficient, flexible, easily extensible, scalable, transparent, and reproducible open-source research software for (forward and inverse) data-driven geoscientific simulations.
 
 Areas of current application include:
-1. **Geodynamics**: with a particular emphasis on simulating mantle dynamics and its diverse surface manifestations.
-2. **Glacial Isostatic Adjustment (GIA)**: the ongoing response of Earth's surface and sea level to changes in ice and water loading as Earth moves into and out of periods of glaciation, in conjunction with the [Australian Centre for Excellence in Antarctic Science](https://antarctic.org.au/).
-3. **Groundwater**: simulations of groundwater flow, in conjunction with the [ANU Institute for Water Futures](https://waterfutures.anu.edu.au/).
 
-Over time, the webpage will be updated to include [tutorials](tutorials.md) and information on [benchmark](benchmarks.md) configurations, in each of these geoscientific domains.
+1. **Geodynamics**, with a particular emphasis on simulating mantle dynamics and its diverse surface manifestations;
+2. **Glacial Isostatic Adjustment (GIA)**, the ongoing response of Earth's surface and sea level to changes in ice and water loading as Earth moves into and out of periods of glaciation — in conjunction with the [Australian Centre for Excellence in Antarctic Science](https://antarctic.org.au/);
+3. **Groundwater**, focussing on predicting the evolution of water storage in Australia — in conjunction with the [ANU Institute for Water Futures](https://waterfutures.anu.edu.au/).
+
+Over time, the webpage will be updated to include [tutorials](tutorials.md) and information on [benchmark](benchmarks.md) configurations in each of these geoscientific domain.
 
 ---
 
 <figure markdown>
 <iframe width="560" height="315" src="https://www.youtube.com/embed/i7MVDvISByk?si=GBXUxCCr6v5Feyd6" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
 <figcaption markdown>
-Thermal structure predicted from a global mantle convection simulation in G-ADOPT, where the geographic distribution of heterogeneity is dictated by 230 Myr of imposed plate motion history from [GPlates](https://www.gplates.org/). Each image includes a radial surface immediately above the core-mantle boundary, a cross-section, and transparent isosurfaces at temperature anomalies (i.e. away from the radial average) of T=-0.075 (blue) and T=0.075 (red), highlighting the location of downwelling slabs and upwelling mantle plumes, respectively. Continental boundaries provide geographic reference. The animation provides an Africa-centered view.
+Thermal structure predicted from a global mantle convection simulation in G-ADOPT that incorporates 230 Myr of plate motion history reconstructed in [GPlates](https://www.gplates.org/). Each image includes a background cross-section, a radial surface immediately above the core-mantle boundary, and transparent isosurfaces at temperature anomalies (i.e. away from the radial average) of T=-0.075 (blue) and T=0.075 (red), highlighting the location of downwelling slabs and upwelling mantle plumes, respectively. Continental boundaries provide a geographic reference. The animation presents an Africa-centered view.
 </figcaption>
 </figure>