Turns out, objective evidence is more reliable than personal recall.
Let's try something. I'll be doing this as a sort of stream-of-thought:
First, to get a dataset, I went here:
Datasets | Climate Data Online (CDO) | National Climatic Data Center (NCDC)
Next, I selected the daily summary with a date from 1/1/1950 to 8/3/2025 and for the place selected Seattle, Washington. A number of weather stations pop up on a map, and on the left it shows a column with the station name and period of data. Scrolling down, found that there's data from the Seattle Tacoma Airport that runs from 1/1/1948 to present. Clicked on that, changed the period I wanted to 1/1/1948 through the present, chose just the daily high and low, selected CSV format, and put it in the cart. Note: There's no charge, this is just the system they use, Going to the cart and selecting the data, I input an email. I was first emailed a notices that my data was being prepared and I would be notified when it was ready. Don't think it was even a minute before I had a second email with a link download the data. Once downloaded, I opened it in LibreOffice Calc.
What we're looking for is annual maximum temperature. Since all we're wanting is the date, I made a column called Year and used the year function on the date to extract that. What do you know: The last data is for July 30, 2025. Close enough.
Next I made another column to one side called Year, and populated it with the years 1948 through 2025. Beside it I made a column called Maxtemp. Now I...
Okay, going to have to do something a little different. I could transpose the year field, but just put in the first three in a row and dragged it across to 2025. Next copied "YEAR" above each year. This is going to be my criteria. Now, under the year row, I do a DMAX for the maximum temperature (TMAX) using the cell containing "YEAR" and the year as the criteria. Success! Now I "lock down" the database range but not the criteria, and copy under the year row. That worked. Now I have the max temp for each year. To make a chart I copied the values of the annual max temp row beneath the function row, then transposed the values to the column "YEAR" I already set up.
Now I select the data, insert a chart from it, neaten it up a wee bit, insert a linear trend line, and make it red. Might as well put in the line equation and correlation, too.
Here is the result:
So yes, Seattle is in an upward trend for highs and...
Opps, your post was of that average summer temperature. To do that would have to have a month column and change criteria. Do-able, but more effort than I want to put in to it and for that might be easier to dump it in a database and make a short chain of queries. The highs at the airport are in an upward trend.
That actually helps your argument more than the average temperature. With paved runways, it likely doesn't get as cold as the surrounding area, and the heat island effect would affect that more than the high temperatures. As to possible heat island effect, it depends on how much the airport has expanded over the years.