Good evening everybody, I hope all is well.
With our small chance of snow next week, I went ahead and analyzed all the data and created a graphic (see below)
*Disclaimer This data is based on model analytics and is no way includes model biases or any human forecasting*
Data: 12z EPS and GFS ensemble members, reflected from Weatherbell Meteograms
Region: KGSO (Greensboro) Most Triad regions apply, even triangle regions wouldn't be too far off
Section 1. Mean
What I did with this set was as I created my excel spreadsheet, I set up the members and found their averages separately. The second thing I did was, weigh the members seperately. The GEFS was weighed 40% of the total; 1.1(mean) was multiplied by .40 and I got .44 The EPS was weighed 60%, I multiplied .29(mean) times .60 and got 0.171. I then added the total and got my average in which see below which is 61". Nothing Incredible
Section 2. % of members show snow
A bit more self-explanatory, I turned the members that showed snow into a percentage.
Section 3. Consistency.
What is did here was to use the mathematical formula, Mean Absolute Deviation, or for short MAD. Essentially It's the average distance the ensemble members are away from the mean. The process would be finding the original average, subtract the average from each member and find the average of that product. It is helpful because it lets you know whether a model is much more or less likely to verify. So essentially the smaller the number, the more likely that model set will verify and vise virsa, you could have a mean with 100 inches of snow, but will a low number, that would most likely verify, a high number and that means that 100 mean probably has a couple 50" members and a few 200" members.
Summary: This snow chance at the moment is very low right now, however, bears watching. As we head into the week, I hope to keep track of all these variables.
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