Update README and docs landing with list of features, roadmap, and gallery

README.md

@@ -8,7 +8,6 @@
   <strong>🌪 Fast and friendly Julia software for atmospheric fluid dynamics on CPUs and GPUs. https://numericalearth.github.io/BreezeDocumentation/stable</strong>
 </p>
 
-
 <p align="center">
   <a href="https://numericalearth.github.io/BreezeDocumentation/stable/">
     <img alt="Documentation" src="https://img.shields.io/badge/documentation-stable-blue?style=flat-square">
@@ -36,11 +35,80 @@
 
 Breeze is a library for simulating atmospheric flows, convection, clouds, weather, and hurricanes on CPUs and GPUs.
 Much of Breeze's power flows from [Oceananigans](https://github.com/CliMA/Oceananigans.jl), which provides a user interface, grids, fields, solvers, advection schemes, Lagrangian particles, physics, and more.
-Right now, `Breeze.AtmosphereModel` is in an early stage of development, and supports simple simulations that use the anelastic formulation of the Euler equations on `RectilinearGrid`.
-But we're working feverishly towards a future with bulk, bin and superdroplet microphysics, radiation, and a fully compressible formulation with acoustic substepping (and note, the roadmap and vision for Breeze is still something of a work in progress).
-Check out [the documentation](https://numericalearth.github.io/BreezeDocumentation/stable/) to see what we can do now, and watch this space (or get in touch to [discuss](https://github.com/NumericalEarth/Breeze.jl/discussions)!) its crystallization.
 
-### Installation
+Breeze's AtmosphereModel provides anelastic, compressible, and prescribed (kinematic) dynamics, closures for large eddy simulation, WENO advection schemes, strong stability preserving (SSP) RK3 time-stepping, saturation adjustment microphysics, Kessler microphysics, and one- and two-moment bulk microphysics schemes via an extension to the [Climate Modeling Alliance's](clima.caltech.edu) excellent [CloudMicrophysics.jl](https://github.com/CliMA/CloudMicrophysics.jl) package.
+An extension to [RRTMGP.jl](https://github.com/CliMA/RRTMGP.jl) provides solvers for gray, clear-sky, and all-sky radiative transfer.
+Breeze's examples include single column radiation, idealized thermal bubbles and inertia-gravity waves and Kelvin-Helmholtz, [BOMEX](https://doi.org/10.1175/1520-0469(2003)60<1201:ALESIS>2.0.CO;2) shallow convection, [RICO](https://doi.org/10.1029/2011MS000056) trade-wind cumulus, [supercells](https://doi.org/10.1002/2015MS000435), mountain waves, and more.
+
+Learn more by reading on or checking out [the documentation](https://numericalearth.github.io/BreezeDocumentation/stable/) and [examples](https://github.com/NumericalEarth/Breeze.jl/tree/main/examples).
+And don't hesitate to get in touch on the [NumericalEarth slack](https://join.slack.com/t/numericalearth/shared_invite/zt-3kjcowmpg-B0s3nalWkvZg8IBc~BIJEA) or by opening a new [discussion](https://github.com/NumericalEarth/Breeze.jl/discussions)!
+
+## Roadmap and a call to action
+
+Our goal is to build the world's fastest, easiest to use, most productive tool for weather research and forecasting, atmospheric model development, cloud physics, and more.
+This won't be the effort of a single group, project, or even a single community.
+Such a lofty aim can only be realized by a wide-ranging and sustained collaboration of passionate people.
+Maybe that includes you - consider it!
+Model development is hard, but rewarding, and builds useful skills for a myriad of pursuits.
+
+The goals of the current group of model developers include developing
+
+- ⛈️ **Advanced microphysics**: Predicted Particle Property (P3) bulk microphysics, spectral bin schemes, and Lagrangian superdroplet methods for high-fidelity cloud and precipitation modeling
+- ️🏔 **Acoustic substepping and terrain-following coordinates**: A compressible dynamical core with horizontally explicit, vertically-implicit acoustic substepping that efficiently resolves sound waves in flow over complex topography with smooth sigma coordinates
+- 🔬 **Open boundaries and nesting**: Two-way nesting to support multi-level nested simulations embedded in global atmosphere simulations
+- 🌀 **Coupled atmosphere-ocean simulations**: Support for high-resolution coupled atmosphere-ocean simulations via [ClimaOcean.jl](https://github.com/CliMA/ClimaOcean.jl)
+
+If you have ideas, dreams, or criticisms that can make Breeze and it's future better, don't hesitate to speak up.
+
+## Selected examples
+
+Below we've included thumbnails that link to a few of Breeze's examples.
+Check out the [documentation](https://numericalearth.github.io/BreezeDocumentation/dev/) for the full list.
+
+<table>
+  <tr>
+    <td width="33%" align="center" valign="top">
+      <a href="https://numericalearth.github.io/BreezeDocumentation/dev/literated/cloudy_thermal_bubble/">
+        <img src="https://github.com/user-attachments/assets/1ebc76bd-0ec5-4930-9d12-970caf3c8036" width="100%"><br>
+        Cloudy thermal bubble
+      </a>
+    </td>
+    <td width="33%" align="center" valign="top">
+      <a href="https://numericalearth.github.io/BreezeDocumentation/dev/literated/bomex/">
+        <img src="https://github.com/user-attachments/assets/89876fed-c2d0-43da-aa54-ab69b97e0283" width="100%"><br>
+        BOMEX shallow convection
+      </a>
+    </td>
+    <td width="33%" align="center" valign="top">
+      <a href="https://numericalearth.github.io/BreezeDocumentation/dev/literated/rico/">
+        <img src="https://github.com/user-attachments/assets/6a041b42-a828-41e5-91fd-b4bc89e0f63a" width="100%"><br>
+        RICO trade-wind cumulus
+      </a>
+    </td>
+  </tr>
+  <tr>
+    <td width="33%" align="center" valign="top">
+      <a href="https://numericalearth.github.io/BreezeDocumentation/dev/literated/prescribed_sea_surface_temperature/">
+        <img src="https://github.com/user-attachments/assets/44a4b21c-23a6-401d-b938-e4ec00f24704" width="100%"><br>
+        Prescribed SST convection
+      </a>
+    </td>
+    <td width="33%" align="center" valign="top">
+      <a href="https://numericalearth.github.io/BreezeDocumentation/dev/literated/inertia_gravity_wave/">
+        <img src="https://github.com/user-attachments/assets/54837848-c1b5-4ffc-943b-ba3f1755b6ee" width="100%"><br>
+        Inertia-gravity wave
+      </a>
+    </td>
+    <td width="33%" align="center" valign="top">
+      <a href="https://numericalearth.github.io/BreezeDocumentation/dev/literated/acoustic_wave/">
+        <img src="https://github.com/user-attachments/assets/fa2992d0-a289-4de7-aeb3-f59df7cbef28" width="100%"><br>
+        Acoustic wave
+      </a>
+    </td>
+  </tr>
+</table>
+
+## Installation
 
 Breeze is a registered Julia package. First [install Julia](https://julialang.org/install/); suggested version 1.12. See [juliaup](https://github.com/JuliaLang/juliaup) README for how to install 1.12 and make that version the default.
 
@@ -65,7 +133,7 @@ If you want to live on the cutting edge, you can use, e.g.,
 Breeze from `main` branch. For more information, see the
 [Pkg.jl documentation](https://pkgdocs.julialang.org).
 
-### Using Breeze
+## Using Breeze
 
 Now we are ready to run any of the examples!
 
@@ -90,7 +158,21 @@ we get
 
 https://github.com/user-attachments/assets/c9a0c9c3-c199-48b8-9850-f967bdcc4bed
 
-### Citing
+We ran the [BOMEX example](https://numericalearth.github.io/BreezeDocumentation/dev/literated/bomex/) at 25 m resolution and a 2x bigger grid, and used the data to produce a visuzliation of the resulting clouds:
+
+https://github.com/user-attachments/assets/3c378cc7-c71b-420d-b301-33d45c7521e2
+
+## Relationship to Oceananigans
+
+Breeze is built on [Oceananigans.jl](https://github.com/CliMA/Oceananigans.jl), an ocean modeling package that provides grids, fields, operators, advection schemes, time-steppers, turbulence closures, and output infrastructure.
+Breeze extends Oceananigans with atmospheric dynamics, thermodynamics, microphysics, and radiation to create a complete atmosphere simulation capability.
+The two packages share a common philosophy: fast, flexible, GPU-native Julia code with a user interface designed for productivity and experimentation.
+To learn these foundational components of Breeze, please see the [Oceananigans documentation](https://clima.github.io/OceananigansDocumentation/stable/).
+
+If you're familiar with Oceananigans, you'll feel right at home with Breeze.
+If you're new to both, Breeze is a great entry point—and the skills you develop transfer directly to ocean and climate modeling with Oceananigans and [ClimaOcean.jl](https://github.com/CliMA/ClimaOcean.jl).
+
+## Citing
 
 If you use Breeze for research, teaching, or fun, we'd be grateful if you give credit by citing the corresponding Zenodo record, e.g.,
 

docs/src/index.md

@@ -2,22 +2,31 @@
 
 Fast, friendly atmosphere simulations on CPUs and GPUs.
 
-Breeze provides software for flexible software package for finite-volume atmosphere simulations on CPUs and GPUs, based on [Oceananigans](https://github.com/CliMA/Oceananigans.jl).
-Like Oceananigans, it provides a radically productive user interface that makes simple simulations easy, and complex, creative simulations possible.
+Breeze is a library for simulating atmospheric flows, convection, clouds, weather, and hurricanes on CPUs and GPUs.
+Much of Breeze's power flows from [Oceananigans](https://github.com/CliMA/Oceananigans.jl), which provides a user interface, grids, fields, solvers, advection schemes, Lagrangian particles, physics, and more.
 
-## Features
+Breeze's [`AtmosphereModel`](@ref Breeze.AtmosphereModels.AtmosphereModel) features anelastic, compressible, and prescribed (kinematic) dynamics, closures for large eddy simulation, saturation adjustment microphysics, Kessler microphysics, and one- and two-moment bulk schemes via an extension to the [Climate Modeling Alliance's](clima.caltech.edu) [CloudMicrophysics.jl](https://github.com/CliMA/CloudMicrophysics.jl).
+An extension to [RRTMGP.jl](https://github.com/CliMA/RRTMGP.jl) provides solvers for gray, clear-sky, and all-sky radiative transfer.
+Breeze's examples include single column radiation, idealized thermal bubbles and inertia-gravity waves and Kelvin-Helmholtz, [BOMEX](@cite Siebesma2003) shallow convection, [RICO](@cite vanZanten2011) trade-wind cumulus, [supercells](@cite KlempEtAl2015), mountain waves, and more.
 
-Breeze provides two ways to simulate moist atmospheres:
+Don't hesitate to get in touch on the [NumericalEarth slack](https://join.slack.com/t/numericalearth/shared_invite/zt-3kjcowmpg-B0s3nalWkvZg8IBc~BIJEA) or by opening a new [discussion](https://github.com/NumericalEarth/Breeze.jl/discussions)!
 
-1. An [`AtmosphereModel`](@ref Breeze.AtmosphereModels.AtmosphereModel) which currently supports anelastic approximation following [Pauluis2008](@citet):
-    * `AtmosphereModel` has simple warm-phase saturation adjustment microphysics
-    * `AtmosphereModel` is being rapidly developed and changes day-to-day!
-    * A roadmap is coming soon, and will include radiation, bulk, bin, and superdroplet microphysics, a fully compressible formulation, and more
+## Roadmap and a call to action
 
-2. A [`MoistAirBuoyancy`](@ref) buoyancy implementation that can be used with [Oceananigans](https://clima.github.io/OceananigansDocumentation/stable/)' [`NonhydrostaticModel`](https://clima.github.io/OceananigansDocumentation/stable/appendix/library/#Oceananigans.Models.NonhydrostaticModels.NonhydrostaticModel-Tuple{}) to simulate atmospheric flows with the [Boussinesq approximation](https://en.wikipedia.org/wiki/Boussinesq_approximation_(buoyancy)):
-    * `MoistAirBuoyancy` includes a warm-phase saturation adjustment implementation
-    * Note that our attention is focused on `AtmosphereModel`!
+Our goal is to build the world's fastest, easiest to use, most productive tool for weather research and forecasting, atmospheric model development, cloud physics, and more.
+This won't be the effort of a single group or even a single community.
+It can only be achieved by a wide-ranging and sustained collaboration of passionate people.
+Maybe that includes you --- consider it!
+Model development is hard, but rewarding and builds useful skills for a myriad of pursuits.
 
+Right now, the goals of the current group of model developers is to implement
+
+- ⛈️ **Advanced microphysics**: Predicted Particle Property (P3) bulk microphysics, spectral bin schemes, and Lagrangian superdroplet methods for high-fidelity cloud and precipitation modeling
+- ️🏔 **Acoustic substepping and terrain-following coordinates**: A compressible dynamical core with horizontally explicit, vertically-implicit acoustic substepping that efficiently resolves sound waves in flow over complex topography with smooth sigma coordinates
+- 🔬 **Nesting**: Two-way nesting to support multi-level nested simulations embedded in global atmosphere simulations
+- 🌀 **Coupled atmosphere-ocean simulations**: Support for high-resolution coupled atmosphere-ocean simulations via [ClimaOcean.jl](https://github.com/CliMA/ClimaOcean.jl)
+
+If you have ideas, dreams, or criticisms that can make Breeze and it's future better, don't hesitate to speak up.
 
 ## Installation
 
@@ -93,3 +102,13 @@ heatmap(PotentialTemperature(model), colormap=:thermal)
 
     Due to their [chaotic nature](https://en.wikipedia.org/wiki/Chaos_theory), even the smallest numerical differences can cause nonlinear systems, such as atmospheric models, not to be reproducible on different systems, therefore the figures you will get by running the simulations in this manual may not match the figures shown here.
     For more information about this, see the [section about reproducibility](@ref reproducibility).
+
+## Relationship to Oceananigans
+
+Breeze is built on [Oceananigans.jl](https://github.com/CliMA/Oceananigans.jl), an ocean modeling package that provides grids, fields, operators, advection schemes, time-steppers, turbulence closures, and output infrastructure.
+Breeze extends Oceananigans with atmospheric dynamics, thermodynamics, microphysics, and radiation to create a complete atmosphere simulation capability.
+The two packages share a common philosophy: fast, flexible, GPU-native Julia code with a user interface designed for productivity and experimentation.
+To learn these foundational components of Breeze, please see the [Oceananigans documentation](https://clima.github.io/OceananigansDocumentation/stable/).
+
+If you're familiar with Oceananigans, you'll feel right at home with Breeze.
+If you're new to both, Breeze is a great entry point—and the skills you develop transfer directly to ocean and climate modeling with Oceananigans and [ClimaOcean.jl](https://github.com/CliMA/ClimaOcean.jl).