up note readme github format

README.md

@@ -8,15 +8,9 @@
 A Julia package, to define, fit and use a Stochastic Weather Generator (SWG) as proposed in the [*Interpretable Seasonal Hidden Markov Model for spatio-temporal stochastic rain generation in France*](https://hal.inrae.fr/hal-04621349) paper. 
 This SWG relies on some "Seasonal Hidden Markov Models" currently implemented in the package [SmoothPeriodicStatsModels.jl](https://github.com/dmetivie/SmoothPeriodicStatsModels.jl).
 
-!!! note
-    The objective of this package is not only to show *my* model, but also to propose several classic (and newer) SWG model. Hence, **feel free to open an issue or open PR** with ideas and models.
-    This would allow easy model comparison and, in some cases, combination.
-    I'll try to implement the simple (and historic) model, i.e. the [Richardson - Water resources research, 1981](https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/wr017i001p00182).
-
-Go check the [documentation](https://dmetivie.github.io/StochasticWeatherGenerators.jl/dev/) and the fully [reproducible tutorial](https://dmetivie.github.io/StochasticWeatherGenerators.jl/dev/examples/tuto_paper/) associated with the paper.
-
-!!! note Stochastics Weather Generators
-    Stochastics Weather Generators are probabilistic weather models. Like random number generators, they can quickly generate multiple random sequences, except that the produced sequences correctly reproduce some statistics of interest, e.g. spatial-temporal correlations, extremes, etc.
-    They can be used to study climate variability.
-
+> [!NOTE]
+> The objective of this package is not only to show *my* model, but also to propose several classic (and newer) SWG model. Hence, **feel free to open an issue or open PR** with ideas and models.
+> This would allow easy model comparison and, in some cases, combination.
+> I'll try to implement the simple (and historic) model, i.e. the [Richardson - Water resources research, 1981](https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/wr017i001p00182).
 
+Go check the [documentation](https://dmetivie.github.io/StochasticWeatherGenerators.jl/dev/) and the fully [reproducible tutorial](https://dmetivie.github.io/StochasticWeatherGenerators.jl/dev/examples/tuto_paper/) associated with the paper.