From 72d39fa5003023f16d728a9e995b1dc1154727ce Mon Sep 17 00:00:00 2001 From: Dave Albo Date: Tue, 2 Jan 2024 23:22:19 +0000 Subject: [PATCH] Another bugfix attempt --- docs/Users_Guide/mode.rst | 15 +++++---------- 1 file changed, 5 insertions(+), 10 deletions(-) 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