small fixes in docs

docs/src/P3Scheme.md

@@ -32,15 +32,15 @@ Following [MorrisonMilbrandt2015](@cite), the scheme assumes a
 N'(D) = N_{0} D^\mu \, e^{-\lambda \, D}
 ```
 where:
- - ``N'`` is the number concentration (``m^{-4}``),
- - ``D`` is the maximum particle dimension (``m``),
- - ``N_0`` is the intercept parameter (``m^{-4}``),
+ - ``N'`` is the number concentration in ``m^{-4}``
+ - ``D`` is the maximum particle dimension in ``m``,
+ - ``N_0`` is the intercept parameter in ``m^{-4}``,
  - ``\mu`` is the shape parameter (dimensionless),
- - ``\lambda`` is the slope parameter (``m^{-1}``).
+ - ``\lambda`` is the slope parameter in ``m^{-1}``.
 
 We assume ``\mu \ = 0.00191 \; \lambda \ ^{0.8} - 2``.
 Following [MorrisonGrabowski2008](@cite) we limit ``\mu \ \in (0,6)``.
-A non-zero ``\mu`` can occur only for very small mean particle sizes``\frac{1}{\lambda} < ~0.17 mm``.
+A negative ``\mu`` can occur only for very small mean particle sizes``\frac{1}{\lambda} < ~0.17 mm``.
 ``N_0`` and ``\lambda`` can be found using different moments of the PSD,
 namely the total number concentration ``N`` and mass mixing ratio ``q``, where
 

docs/src/P3SchemePlots.jl

@@ -107,7 +107,7 @@ function p3_m_plot1(
 )
     D_range = range(1e-5, stop = 1e-2, length = len_D_range)
 
-    lw = 4
+    lw = 3
 
     fig1_a = Plt.Figure()
 
@@ -236,7 +236,7 @@ function p3_m_plot2(
 
     fig1_b = Plt.Figure()
 
-    lw = 4
+    lw = 3
 
     ax1_b = Plt.Axis(
         fig1_b[1:10, 1:11],