Mar 20 2008
Hay Springs MMTS Adjustment Still Wrong
My post on the Hay Springs surface station a few days ago has attracted the attention of Eli Rabbett. I was drawn to this particular surface station by a post by Anthony Watts about the microsite bias that would be introduced at this site due to siting issues. I noticed that immediately after the surface station switched to a MMTS thermometer, there was a jump in the temperature readings at this station compared to surrounding stations. I attributed that to the MMTS device; Eli disagreed. What made this even more interesting is that the Hay Springs surface station is considered to be rural, which means that the temperature trend at this location is used to calibrate those around it. In fact, Hay Springs is one of the 272 best surface stations.
In the comments of my previous post on Hay Springs surface station, Eli points out that surrounding stations switched to MMTS thermometers at around the same time. He says,
Alliance got an MMTS in 86, Lodgepole in 89, Bridgeport in 89, Rapid City in 83, Wray in 84, Hettinger in 88, and you get the idea. So whatever you have found is not a systematic effect from the MMTS since all the other stations were MMTS
That’s interesting, but did not disprove my points. It is certainly possible that all of the surrounding stations had the switch to MMTS either not corrected or incorrectly corrected. I should point out here that due to a stupid programming error, the stations I used in the previous post were not the closest 10 stations. They were all within 500 km, and the updating of the software does not change the conclusions of the previous post at all.
I decided to make a very simple model of how the MMTS switch could manifest itself in my plots if none of the stations had been corrected. To do this, I made use of the Multi-network Metadata System (MMS). For each of the ten surrounding stations, I found the date that the surface station made the switch to the MMTS thermometer.
- Hay Springs: August 1989
- Alliance: December 1986
- Merriman: June 1990
- Harrison: August 1987
- Bridgeport: August 1989
- Hot Springs: February 1997
- Torrington: N/A
- Lusk: November 1986
- Lodgepole: August 1989
- Kimball: May 1987
- Cottonwood: August 1986
At first glance it would appear Eli is right. Most of the stations around Hay Springs switched to MMTS at around the same time. What does the litereature say about the MMTS adjustment? Qualye et al. (1991) showed that the average maximum temperature measured by the MMTS was -0.4C (-0.72F) lower than the previous thermometer. Doesken and McKee (1995) reported that the MMTS read about 0.5C cooler in the maximum temperatures. They reported no change in minimum temperatures.
Pielke Sr., et al. have this to say about the MMTS adjustment of Quayle:
In the mean of many stations over broad areas, the conclusions of Quayle et al. (1991) and the subsequent procedure for adjusting temperature time series to accommodate the change from liquid-in-glass thermometers may be appropriate. But, at any given station, a single adjustment factor may not be appropriate
But let’s assume that when each station switched to a MMTS, it introduced a +3F bias in its maximum temperature measurement. Note that this adjustment has the opposite sign as suggested by Quayle et al. and Doesken and McKee. What would this look like in our data for these 11 stations. Remember that the way I defined the regional average was just the average of the anomalies at the 10 surrounding stations. That means that the MMTS switch due to this station will be 10 times as large.
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(Click for full size)
The highly variable thin black line is the difference between the temperature at the Hay Springs surface station and the regional average. The red thin line represents the moving average of the black line. But the important point of this figure is the think purple line. It is the amount of bias introduced into this analysis based upon the simple assumption that all the MMTS switches had a positive bias of +3F.
Therefore, when the surrounding stations switched to the MMTS thermometer, the purple line will decrease in this plot. But it will be a small decrease of only 0.3F. When the Hay Springs surface station switched to the MMTS, it shows up as a large increase in temperature. The change is not 3F because two surrounding stations also changed to MMTS the same month.
This simple model does a fair job of describing the difference between the local temperature at Hay Springs and the surrounding regional temperature. It does not do a good job of describing what happens after Hay Springs has switched to the MMTS thermometer. While they might be interesting, describing these variations after the Hay Springs surface station switched to the MMTS is beyond the scope of this post.
Conclusions
This simple model seems to demonstrate that the Quayle MMTS adjustment is incorrectly applied or not applied at all to the Hay Springs as surrounding surface stations. This was shown using a simple model that assumed a positive bias in the MMTS as opposed to the negative bias of Quayle. Each station will have its own bias (positive or negative) that will be different that its neighbors, and will need to be accounted for individually.
References:
Doesken N.J., and McKee T.B., 1995: Colorado Climate water-year series (October 1994-September 1995). Climatology Report 95-1. Department of Atmospheric Science. Colorado State University, Fort Collins, CO; 147 pp.
Pielke, R.A. SR, T. Stohlgren, L. Schell, W. Parton, N. Doesken, K. Redmond, J. Moeny, T. McKee, T.G.F. Kittel, 2002; Problems in Evaluating Regional and Local Trends in Temperature: An Example from Eastern Colorado, USA. Int. J. Climatol., 22, 421–434.
Quayle, R.G., D.R. Easterling, T.R. Karl, and P.Y. Hughes, 1991: Effects of Recent Thermometer Changes in the Cooperative Station Network. Bull. Amer. Meteor. Soc., 72, 1718–1723.
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2 Responses to “Hay Springs MMTS Adjustment Still Wrong”
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Atmoz,
Nicely done. Remeber a while back ( search my posts) I linked you to a longitudenal study of MMTS. If you cant find it just ping me and I’ll send it. In any case, that study looked at MMTS versus CRS with LIGS over 20 years. With co located sensors.
( colorado, but peilke wasnt an author…)
[Reply: I'm pretty sure you're talking about this conference paper by Doesken.]
Lets call that a study of PURE INSTRUMENT BIAS. this approach, one assumes, gives us an estimate of the Bias due to instrument change, plus noise.
Quayle did not measure that. Quayle compared the difference between LIG and MMTS in situ. That is he compared sites that were not co located. That’s not wrong, it just leads to a different underlying model.
The QUAYLE difference between MMTS and CRS is a function of
1. Instrument differences
2. Micro site differences. (ASSUMED TO BE ZERO)
3. Noise .
Nothing wrong with that. It’s just an untested assumption.
So, I’ll speculate. Suppose that when Quayle did his study the average MMTS was 50 ft from a building. lets suppose now that its 5 feet from a building.. you’d see a difference. Again, Not a fact, just an observation of assumptions and limitations. As long as the in situ placement of sensors POST QUALYE is substantially similair to the placement studied in quayle, we can apply the quayle adjustment. Which is an adjustment to the mean. This adjustment has an error. here is a thought. Adjustments will never be right. hopefully they average out to be right, but that should be a testable thing.
The last issue is this. adjustments are always tricky business.
I’ll give you this example. Suppose you have 1 URBAN site surrounded by 10 rural sites in circle. If you use the RURAL sites to adjust the URBAN site, do you increase your sample size to 11?
NOPE. you get nothing from this adjustment. Why? The urban site is no longer an independent data point. If you try to claim that you improve your area coverage you are just fooling yourself.
WRT MMTS I think the case is slightly different since we are talking a change in instrumentation, Rambling.
Oh, last point. I think AW has this site as a NIMBUS equipement I havent gone down that path yet.
last thought. Have you ever looked at the list of the best 138 sites as determined by NOAA? The list was built in 1992.
The best longest records with daily data.
I linked to this on CA somewhere. If U cant find it just hollar back at me
As a constant reader I say more bunnies!!
That being the case, let me point out that what I said was that you had not shown there was an MMTS effect. I still have my doubts, while you can get a shift, that is a pretty large one for a NWS managed site.
What is interesting is that there were shifts in station managers in 1996 and 1987, and something happened wrt station management in 1990.
Moreover the shift to a max-min thermometer occurred in 1987 when the station was upgraded to coop ab from coop a.
If I were looking for a smoking gun, the large drop in early 88 would be where I looked.
Don’t get too locked in to mmts.