diff --git a/docs/Users_Guide/mode.rst b/docs/Users_Guide/mode.rst
index b5fa96f258..0e5c5bdbcb 100644
--- a/docs/Users_Guide/mode.rst
+++ b/docs/Users_Guide/mode.rst
@@ -123,21 +123,16 @@ When regridding to the FCST or OBS field (e.g. to_grid = FCST), the first field
 When setting a threshold to a percentile, some choices require both an observation input and a forecast input.  When this is the case, it's assumed the indices match, so for example if forecast input 1 has such a percentile setting, then observation input 1 will be used to compute the percentile.  Percentiles in which this will happen are:
 
 * SFP in an observation input
-  * The matching forecast input will be used to determine the threshold.
-    e.g. ">SFP33.3" in the 2nd observation input means greater than 33.3-rd percentile of the 2nd forecast input will be used as the threshold for that observation input.
+  * The matching forecast input will be used to determine the threshold.  e.g. ">SFP33.3" in the 2nd observation input means greater than 33.3-rd percentile of the 2nd forecast input will be used as the threshold for that observation input.
+
 * SOP in a forecast input
-  * The matching observation input will be used to determine the threshold.
-    e.g. ">SOP33.3" in the 2nd forecast input means greater than 33.3-rd percentile of the 2nd observation input will be used as the threshold for that forecast input.
+  * The matching observation input will be used to determine the threshold. e.g. ">SOP33.3" in the 2nd forecast input means greater than 33.3-rd percentile of the 2nd observation input will be used as the threshold for that forecast input.
 
 * "==FBIAS" in an observation input.
-  * e.g. "==FBIAS1" in an observation input to automatically de-bias the data, using a simple threshold in the matching forecast input. For example,
-    when observation input 3 has "==FBIAS1", and forecast input 3 has ">5.0", MET applies the >5.0 threshold to the forecast and then chooses an
-    observation threshold which results in a frequency bias of 1. The frequency bias can be any float value > 0.0.
+  * e.g. "==FBIAS1" in an observation input to automatically de-bias the data, using a simple threshold in the matching forecast input. For example, when observation input 3 has "==FBIAS1", and forecast input 3 has ">5.0", MET applies the >5.0 threshold to the forecast and then chooses an observation threshold which results in a frequency bias of 1. The frequency bias can be any float value > 0.0.
 
 * "==FBIAS" in a forecast input.
-  * e.g. "==FBIAS1" in a forecast input to automatically de-bias the data, using a simple threshold in the matching observation input. For example,
-    when forecast input 2 has "==FBIAS1", and observation input 2 has ">5.0", MET applies the >5.0 threshold to the observation and then chooses a
-    forecast threshold which results in a frequency bias of 1.  The frequency bias can be any float value > 0.0.
+  * e.g. "==FBIAS1" in a forecast input to automatically de-bias the data, using a simple threshold in the matching observation input. For example, when forecast input 2 has "==FBIAS1", and observation input 2 has ">5.0", MET applies the >5.0 threshold to the observation and then chooses a forecast threshold which results in a frequency bias of 1.  The frequency bias can be any float value > 0.0.
 
   
 Practical Information