docs: adding mentions of Particula and Cloudy, clarifying that PySDM is enough to construct a cloud parcel model in Python (#1523)

Author: slayoo

docs/markdown/pysdm_landing.md

@@ -680,12 +680,14 @@ See [README.md](https://github.com/open-atmos/PySDM/tree/main/README.md)
   https://github.com/emmacware/droplets.jl
 - LacmoPy (Python/Numba)
   https://github.com/JanKBohrer/LacmoPy/blob/master/collision/all_or_nothing.py
-- McSnow (FORTRAN):
+- McSnow (FORTRAN)
   https://gitlab.dkrz.de/mcsnow/mcsnow/-/blob/master/src/mo_coll.f90
+- Particula (Python)
+  https://github.com/uncscode/particula/blob/main/particula/dynamics/coagulation/particle_resolved_step/super_droplet_method.py
 
 ### non-SDM probabilistic particle-based coagulation solvers
 
-- PartMC (Fortran):
+- PartMC (Fortran with a <a href="https://open-atmos.github.io/PyPartMC">Python interface</a>):
   https://github.com/compdyn/partmc
 
 ### Python models with discrete-particle (moving-sectional) representation of particle size spectrum
@@ -694,7 +696,7 @@ See [README.md](https://github.com/open-atmos/PySDM/tree/main/README.md)
 - PyBox: https://github.com/loftytopping/PyBox
 - py-cloud-parcel-model: https://github.com/emmasimp/py-cloud-parcel-model
 
-### non-Python cloud microphysics open-source software
+### Open-source models with other than discrete-particle representations of coagulation
 
-- CloudMicrophysics.jl: https://github.com/CliMA/CloudMicrophysics.jl
-- McSnow: https://gitlab.dkrz.de/mcsnow/mcsnow
+- DustPy: https://stammler.github.io/dustpy
+- Cloudy.jl: https://github.com/CliMA/Cloudy.jl

docs/templates/index.html.jinja2

@@ -44,6 +44,10 @@
               particles immersed in moist air using the particle-based (a.k.a. super-droplet) approach to represent aerosol/cloud/rain microphysics.
             The key goal of PySDM is to enable rapid development and independent reproducibility of simulations in cloud microphysics
               while being free from the two-language barrier commonly separating prototype and high-performance research code.
+            PySDM ships with a set of examples reproducing results from literature and serving as tutorials. 
+            The animation shown here depicts a flow-coupled simulation in which the flow is reolved using PySDM's sibling project: <a href="https://open-atmos.github.io/PyMPDATA/">PyMPDATA</a>.
+            The examples include also single-column setups (with PyMPDATA used for advection) as well as adiabatic cloud parcel model setups
+              (with <mark>PySDM alone sufficient to constitute a microphysics-resolving cloud parcel model in Python</mark>).
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