Note: updated graphs are now posted on the MLMW page accessible in the menu bar at the top of this page.
In looking at weather stations around the world, one stands out as a fairly unique and potentially representative indicator of temperatures in the lower troposphere for at least higher latitudes of North America and perhaps also fairly relevant for higher latitudes in all of the North Hemisphere. This unique weather station is located at the top of Mount Washington in New Hampshire in the Northeastern US at an elevation of 1,917 meters (6,288 feet) above “mean sea level” (which is not so easy to define, but that’s another story).
Below is a US Geological Survey topographic map of the area. Mount Washington is the highest of several high peaks oriented roughly south to north in the Presidential Range. This orientation may help to orographically increase wind speeds with high westerly or easterly winds.
Below is a view of the peak without snow.
Below is a winter view with heavy snow cover on the mountain.
Below is a closer look at the round observatory at the top of the mountain.
Below is a photo of the observatory covered in snow.
And a closer look at the observatory coated in rime icing in 2004.
This location is very remote, far away from any urban areas. However, the temperature measurements could be subject to microscale effects from the nearby observatory. Frequent strong winds at the site should help to minimize any such microscale effects.
I made a quick check on the internet for annual temperature data for the site and found some available for 1948 through 2015 from Weather Warehouse. At first I accepted the data, since it was from what I thought was a reputable source. However, I was a bit suspicious of it because the annual variability seemed larger than expected and the temperature colder than expected. So I decided to compare the data with what is available from the Weather Underground back to 1973. The two data sets did not match and the differences were substantial.
I then looked to see if measurements were available from the National Center for Environmental Information (NCEI) and found they had daily data since 1948, but the entire data set was not available for free. They did however provide a free PDF monthly copy of the daily minimum and maximum temperature observations which included a monthly average.
I went to the trouble to download every monthly PDF copy since 1948, which took awhile, but was free. I then hand entered (triple checking) all of the monthly maximum and minimum averages into a spreadsheet and then calculated annual averages. January 1948 was incomplete, but all other months were complete through November 2015. For December 2015, I used the hourly measurements available from the Weather Underground, including the reported 6-hour maximums and minimums to compile preliminary daily and monthly data for December 2015 and preliminary data for 2015. Figure 1 shows the resulting annual average temperatures and associated linear regression trend (click to enlarge).
The annual average temperatures show a linear upward trend of +0.0115 degrees Celsius (C) per year, which corresponds to +0.78C over the 68-year period and to +1.15C if it continues for 100 years.
Taking a closer look for patterns in the data, I see three distinct periods as shown in Figure 2. The first period from 1948 through 1968 shows a statistically robust downward trend of -0.0695C per year, or -1.46C over the 21-year period with a fairly high coefficient of determination (R-square=0.5466). During this period global carbon dioxide (CO2) concentrations were beginning to accelerate higher from human influence increasing from about 310 parts per billion (ppb) to about 322 ppb based on ice core measurements. This is an increase of about 4%. In contrast, Mount Washington temperatures decreased. The mean annual average for this period was -2.8C.
For the period 1969 through 1997, the Mount Washington annual average temperatures showed a lot of annual variation, but not much trend. A linear regression fit for this period indicates a statistically low confidence slight upward trend of +0.0077C per year, or +0.22C over the 29-year period. The mean annual average temperature for this period was also -2.8C. During this period, annual average CO2 levels measured at the top of the Mauna Loa volcano in Hawaii rose substantially from 325 ppb to 363 ppb, or an increase of about 12%.
In 1998 there was a large high spike in the annual average temperature that may be related to global effects from the El Niño event that peaked in late 1997 and early 1998 in the tropical central and eastern Pacific Ocean. For the period 1998 through 2015, the Mount Washington annual average temperatures again show large variations and only a statistically weak trend, in this case slightly downward at -0.0122C per year or -0.22C over the 18-year period. However, the mean annual average temperature for this most recent period was -2.0C, which is 0.8C higher than the previous two periods. This change appears to be a step jump that is not consistent with the steady rise in CO2. The Mauna Loa CO2 annual averages increased from 367 ppb in 1998 to 401 ppb in 2015, or an increase of 9%.
I also looked at the trend in average maximum and average minimum temperatures at Mount Washington as shown in Figure 3. Trends for both are very similar to the annual average trend. All of these trends are statistically low confidence, but do show an overall small upward rise across the 1948-2015 period. Interestingly, the temperatures for the last two years are lower than for the first two years.
The overall temperature pattern at Mount Washington is very similar during the satellite era to the satellite derived estimates of global lower troposphere temperature patterns and to the Climate Forecast System Reanalysis (CFSR) global temperature patterns described in previous posts. All of these show evidence of a relatively flat period from 1979 to 1997, then a sudden upward jump apparently associated with the 1997-1998 El Niño, followed by another relatively flat period to the present. These patterns look nothing like the steadily increasing CO2 concentrations and this discrepancy casts a large measure of doubt over predictions of catastrophic global warming caused by man-made “greenhouse” gases dominated by CO2. If CO2 was the main driver for global temperatures, the patterns should show a consistent match. The implication is that CO2 is not the main driver of global temperatures.