All SPC Moderate and High Risk Climatologies

After posting the climatology of where the first moderate and high risks occur, I’ve received a couple of requests for additional graphics. One that was extremely easy to produce, and also one most frequently requested, is a climatology of moderate and high risks. Using the same Kernel Density Estimation technique described in the original post, I’ve calculated the number of moderate and high risk outlooks an area might expect during a given year, based on data from 1990 through 2008.

Edit to add: Between 1990 and 2008 there were 3454 moderate risks and 243 high risks issued.

Please note that each day consists of multiple outlooks and so it is possible for a grid point to receive multiple “hits” for being located in a Moderate or High risk outlook on the same day. In other words, if your location is located within 2 high risk outlooks, this does not guarantee that you will have two days of high risks. The location might simply be contained within a high risk from two separate outlooks issued for the same day.

All Moderate Risks Per Year (1990-2008)

For moderate risks, central Oklahoma appears to be the clear winner with nearly 30 moderate risks averaged per year. Increase probabilities extend both north and east from here.

All High Risks Per Year (1990-2008)

As expected, the average number of high risks per years is considerably less than the average number of moderate risks. (In fact, I had to change the color scale!) Northeast Kansas, northern Missouri, and west-central Illinois are the most likely areas to experience a high risk in a given year with slightly more than 2 expected. A minor axis of increased probability extends southward from the eastern edges of this highest probability band, reaching portions of eastern Arkansas and far northern Mississippi.

Notice how in both of these climatologies, the maximum probabilities are centered in the central United States — east of the Rocky Mountains and west of the Appalachian Mountains. We’ll leave discussion as to why this is for another blog post.

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  • Lou

    I’m trying to understand how these are generated.  For example, there was a high risk day in the NE on May 31, 1998 and there was indeed an outbreak that day.  But the map shows zero chance per year in that area.  Was that day smoothed out or ignored?

  • http://www.patricktmarsh.com pmarshwx

    Hi, Lou,

    It’s a function of the extremely small number of occurrences in the northeast.  If you take  high-risk over the entire time period, and divide by the number of years, and then apply a smoother to it, the probabilities drop below the minimum threshold.

    I’ll see if I can put together a figure that isn’t smoothed, and then the high risk in the northeast should show up.