Seasonal Persistence

As spring gets under way in Alaska, temperature anomalies tend to become more persistent from week to week and from month to month.  What I mean is that colder than average - or warmer than average - weather tends to stick around more in spring than in winter; but winter temperatures are more variable over the course of weeks and months.

The chart below shows some evidence to back up this claim.  I've taken the NOAA/NCEI monthly temperatures for Alaska as a whole, removed the 1950-2024 trend, and calculated the month-to-month similarity of departures from normal.  The orange columns show the traditional correlation coefficient of adjacent monthly anomalies, and the blue columns show a "persistence index" that I defined here: the index takes a value of 1 if the adjacent monthly anomalies always have the same sign (perfectly persistent), and a value of 0 if the anomalies always reverse sign from month to month (perfectly anti-persistent).

The only pairs of months with fairly strong month-to-month persistence of statewide temperature anomalies are April-May and July-August, although there's a secondary peak of modest correlation in October-November.  Month-to-month persistence from November though March is remarkably low.

Looking at weekly data from Fairbanks shows a more prominent peak of persistence in the autumn (early October at a one-week lag), and there's also a clear peak in mid-April.  These two peaks are undoubtedly related to the persistent impact of snow cover anomalies: if there's more snow than usual at those transition times, it tends to remain cold, but if snow is lacking, it tends to remain warm.

It's interesting to note a pronounced dip in persistence in early June for Fairbanks, but I can't immediately think of an explanation for that.

In Anchorage we see much more of the late summer persistence that characterizes the statewide temperatures.  It's tempting to attribute this to the persistent effect of sea surface temperature anomalies around the western and southern parts of the state, but I'm not sure why the effect would show up more prominently at just that time of year (late July, early August).

The NCEI data for the Cook Inlet climate division confirms July-August as peak season for temperature persistence in the South-Central region, but the correlations are also significantly positive throughout spring and early summer.

Hopefully readers agree that "secondary" climate statistics like this provide interesting nuance and subtle insight into seasonal climate: there's a lot more to climatology than just the progression of normals and averages.  The next step in this analysis will be to calculate persistence from the gridded data so that we can examine the spatial distribution for each time of the year.