Per #1673, making changes requested by Eric.

dtcenter · Aug 2, 2021 · a34c89f · a34c89f
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diff --git a/met/docs/Users_Guide/appendixC.rst b/met/docs/Users_Guide/appendixC.rst
@@ -1184,7 +1184,8 @@ The range for ZHU is 0 to infinity, with a score of 0 indicating a perfect forec
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 Called "G" and "GBETA" in the DMAP output :numref:`table_GS_format_info_DMAP`
-See :numref:`grid-stat_gbeta` for a description of these statistics.
+
+See :numref:`grid-stat_gbeta` for a description.
 
 Let :math:`y = {y_1}{y_2}` where :math:`y_1 = n_A + n_B - 2n_{AB}`, and :math:`y_2 = MED(A,B) \cdot n_B + MED(B,A) \cdot n_A`, with the mean-error distance (:math:`MED`) as described above, and where :math:`n_{A}`, :math:`n_{B}`, and :math:`n_{AB}` are the number of events within event areas *A*, *B*, and the intersection of *A* and *B*, respectively.
 

diff --git a/met/docs/Users_Guide/grid-stat.rst b/met/docs/Users_Guide/grid-stat.rst
@@ -127,7 +127,7 @@ The statistics derived from these distance maps are described in :numref:`Append
 :math:`\beta` and :math:`G_\beta`
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-See :numref:`App_C-gbeta` for the equations for :math:`G` and :math:`G_\beta`.
+See :numref:`App_C-gbeta` for the :math:`G` and :math:`G_\beta` equations.
 
 :math:`G_\beta` provides a summary measure of forecast quality for each user-defined threshold chosen. It falls into a range from zero to one where one is a perfect forecast and zero is considered to be a very poor forecast as determined by the user through the value of :math:`\beta`. Values of :math:`G_\beta` closer to one represent better forecasts and worse forecasts as it decreases toward zero. Although a particular value cannot be universally compared against any forecast, when applied with the same choice of :math:`\beta` for the same variable and on the same domain, it is highly effective at ranking such forecasts.