Who's Adjusting the Climate in Tucumcari: Cows, Canals, or Hansen?

On Sunday I posted about the USHCN climate station of record in Tucumcari, NM highlighting its positive points since it has all the hallmarks of a well sited station with a long and uninterrupted record. But something was odd with the temperature record that didn’t quite make sense at first glance.

I also cross posted my report on Climate Audit since I always value additional input from the community there.

I noted that while this station is in fact well sited, and rates a CRN2, it has some oddities with it’s temperature record around the year 2000, something that looked like a step function to me.

Click for larger graph from NASA GISTEMP

Of course, even though this a truly rural station, 3 miles from the outskirts of town, Hansen and GISS apply adjustments to it anyway, which is part of the flawed “nightlights” algorithm incorrectly flagging this station for adjustment. Even though the adjustment makes the present cooler, it still seems misplaced given the station quality and history. Steve McIntyre said it best:

Here we have a rural station where there doesn’t seem to be any reason to adjust the temperature for population growth/UHI. But in this case, Hansen adjusts Tucumcari as though it were a city. Why is he even adjusting Tucumcari at all? (The “reason” is that its lights value removes it from the rural classification and it goes into the adjustment pool.) While Hansen sometimes seemingly cools rural stations in the past, for the GISS dset2 version here, he warms the past of the station (cools the present).

It’s more that this is a case of another unjustified adjustment by the “adjuster in chief” showing once again that the Hansen adjustments do not do what they are supposed to do – and the best that can be hoped from the Hansen adjustment program by users of this dataset is that the adjustments overall end up being pointless and random, rather than pointless and biased.

The adjustment by GISS looks like this:

Ok adjustments aside, the fact that there is a step at 2000 that remained unexplained until commenters on CA started looking at the data themselves. DaleC provided this graph:

Click for original image

Note the arrow that I place at the year 2000. Notice anything?

The annual average minimum temperature has exceeded 45°F and maintained the rise since 2000. For the first time in the station history going back to 1905, the minimum temperature has gone above that 45°F mark and stayed there. Yes there have been some previous brief excursions above 45°F, but none appear to have lasted more than 2 years. Note that average annual maximum temperatures did not increase during the same period.

What could cause that? We can rule out adjustments, since this is GHCN data before Hansen gets his adjuster mitts on it. We can rule out location change or equipment change, since according to NCDC metadata the station has been in the same place since at least 1946 and possibly longer. It still uses mercury max/min thermometers, so there’s no MMTS next to a building or parking lot to blame.

So what is left? Something around the station in the measurement environment that affects the nighttime readings. I recalled seeing this before. And back in early 2007, I had posted a story about a paper from Dr. John Christy of UAH where he studied a number of stations in the San Joaquin Valley in California because they had exhibited this same symptom:

The culprit? Irrigation. See my story and Christy’s press release

Christy remarks: “Another factor is the dry air, something common to all deserts. Water vapor is a powerful greenhouse gas. Desert air lacks water vapor. The air turns cold at night because it doesn’t retain much warmth from the daytime and it can’t trap what little heat might rise from the ground at night.”

Evaporation from irrigated fields adds water vapor to the air — a process that cools summer days but traps heat rising from the damp soil at night.

“If there is anything I’ve learned in Alabama, it is that humidity can make summer nights very warm,” said Christy, a Fresno, Calif., native who has lived in Alabama since 1987.

Once I mentioned this as a possibility to explain the increase in nighttime temperatures, it didn’t take Steve McIntyre long to find some anecdotal evidence that correlated:

http://cahe.nmsu.edu/news/1997/043097_irrigation_tour.html

A few years ago when cattle prices were high, we saw a tremendous increase in the number of irrigated grass acres in Quay County,” said Jeff Bader, Quay County Extension program director. “One reason was our limited water situation for irrigation, and high cattle prices made it look very attractive.”

When cattle prices dropped again, interest in irrigated pastures declined, but now the cattle market is improving, he said. Producers never really lost concern about irrigated pasture because it fits into the management scheme for water conservation so well in Quay County.

“Irrigated pastures fill a niche in this area because of their ability to produce under varying levels of irrigation,” said Rex Kirksey, superintendent of NMSU’s Agricultural Science Center in Tucumcari. “Pastures remain a viable option in many situations where irrigation water is too limited or unpredictable for corn or alfalfa production.”

What is interesting is that the director of the Ag Science Center, Rex Kirksey, is also the person that took these photos for the station survey. There’s quite a large water project in the area, called unsurprisingly, the Tucumcari Project.

Picture

Conchas Dam and Lake

Apparently they have quite a problem with water “disappearing” there as outlined in this report:

“The principal problem has been the loss of over half of the District’s surface water supply in the canal and distribution system that carries Canadian River water from Conchas Reservoir to the irrigated farms in the District.”

“The District’s report concluded that seepage losses from the system’s canals become greater, in quantity, each year.”

From that report I obtained a the study area map, and located where the town and the USHCN station is. Unsurprisingly, the USHCN station is situated close to the canals of the water project, and prevailing winds in the area tend to be from south to southwest:

With increased irrigation to pastureland for cattle, and a leaky canal system that loses half it’s volumes and demands ever more water to meet customer deliveries, it seems plausible that the Tucumcari area is becoming more humid, and with the increased humidity, per Christy, increased night time temperatures.

The studies of Roger Pielke Sr. show that land-use changes are an important factor in local and regional climate change. This effects of the changes in agriculture and irrigation on the local measurement of climate in Tucumcari might very well make a good case study.

I had hoped that the automated weather station that sets next to the Stevenson Screen might have humidity data that I could track, but alas it does not.

There is a fairly complete record though of temperature and precipitation at this link from the Western Regional Climate Center.

UPDATE 7/1/08 One of our commenters “AnonyMoose” has brought this well done historical weather and climate report by NMSU superintendent Rex Kirksey to our attention:

http://tucumcarisc.nmsu.edu/documents/rr751.pdf

This merits some further study for the data it contains. I’m committed to other projects today, so if anyone wants to have a go, be my guest and I’ll post it.

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crosspatch
July 2, 2008 9:49 am

Trevor: “is it not possible for someone to write a simple report to circulate to media politicians and opinion formers which can highlight the problematic and subjective nature of the source readings?”
Yes, that could be done. But if the information is counter to the agenda of the publisher it would never see print. You can give them information but you can’t make them print it.
There is enough around on the Internet here, at Climate Audit, Icecap, and other places for any interested journalist to find and write their own article. Basically what you are asking is for someone to “freelance” an article themselves and submit it to the paper for publication. In most cases that would be counter to the agenda of the publication and would fall on deaf ears.

Mike C
July 2, 2008 9:57 am

It is a good idea in my oppinion to upgrade the network, I agree with you on that. But to use the old network as evidence of global warming is a question of now. They are closing down energy producers now. They are preventing the opening of new energy plants now. These are the plants that are meant to keep up with increasing energy demand by a growing population. The result will be an increase in energy costs because they are choking off supply. Upgrading the USHCN or adding a CRN network does not correct te problems being created now..

hmccard
July 2, 2008 1:19 pm

Anthony,
I mentioned in a post a while ago that I was puzzled by some step-wise changes that I observed in the difference betwen the average and median temperatures for some USHCN stations. I used the monthly data from http://cdiac.ornl.gov. I defined TMED=(TMAX+TMIN)/2 and delT=TAVG-TMED. I calculated the annual values as the 12-month arithmetic mean.
I was surprised to see delT remained quite constant for long intervals followed by abrupt step-wise changes. I was puzzled by the self-evident seasonality of the changes, i.e., a distinct DJF, MAM, JJA and SON pattern that suggested that the monthly data had been adjusted from time to time on a quarterly basis.
I decided to use the same methodology to examine the Tucumcari station data and found a similar pattern. I don’t know how to post an EXCEL plot on your website but I’ll try to briefly explain what I observed. First, there are two apparent step-wise changes in delT: 1914-15 and 1984-85. Second, in 1914-15, a step increase in annual delT=0.54 degF; DJF delT~1.3 degF; MAM delT~0.7 degF; JJA delT~0.2 degF and SON delT~0.4 degF. Third, in 1984-85, a step increase in annual delT=0.18 degF; DJF delT~0.5 degF; MAM delT~0.2 degF; JJA delT~no change and SON delT~0.05 degF. Fourth, I didn’t observe any significant change around 2000.
It appears to me that some algorithm was used to adjust the Tucumcari station data in 1914-15 and again in 1984-85 but it is not apparent to me if TAVG, TMAX, TMIN or all were adjusted.
Having said all of this, the step-wise changes Tucumcari station data are fewer and smaller than in other stations that I have examined.

John Marshall
July 3, 2008 4:15 am

As I have always thought, we should be measuring heat content not temperature. As a proxy for heat, temperature values do not give the whole picture and are therefore unreliable. It is the heat levels that drive climate. Water content is the important factor so if humidity is ignored then we get the wrong answer to the question of what is driving climate, whether warming or cooling.

hmccard
July 4, 2008 1:21 pm

Anthony,
Re: “UPDATE 7/1/08 One of our commenters “AnonyMoose” has brought this well done historical weather and climate report by NMSU superintendent Rex Kirksey to our attention:
http://tucumcarisc.nmsu.edu/documents/rr751.pdf
I note that the TMAX, TMIN and TMEAN data contained in Table A2, A3 and A4 of the NMSU report, Weather Observations at the Agricultural Science Center at Tucumcari 1905–2002, are quite different from the TMAX, TMIN and TMEAN data that I downloded from http://cdiac.ornl.gov. (See my 07/02/08 post above.) The differences are quite significant.
I manually transferred the NMSU data for 1905-1919 to my Excel program to compare it to the USHCN data. There were differences between every data point in the 15-year NMSU and USHCN data set. For example, the differences in TMEAN ranged from -4.12°F to+6.24°F and the average was -0.31°F; the differences in TMAX ranged from -3.14°F to+8.16°F and the average was 0.12°F; the differences in TMIN ranged from -2.89°F to+17.07°F and the average was +0.26°F.
I understand that NCDC adjusts surface station data but their algorithm is not apparent to me. Is there an explanation somewhare that would help me understand the differences between the NMSU and USHCN Tucumcari station data?
REPLY: This is odd, this station has a near perfect attendance record for daily data. I wonder if the differences are resulting from the total set of USHCN adjustments? Truly a puzzle worth exploring.

hmccard
July 4, 2008 1:30 pm

Re: My13:21:00 post
Whoops! It’s getting late in ME on the 4th … Excuse the typos, i.e., “downloaded” and “somewhere”.

hmccard
July 8, 2008 4:16 pm

Anthony,
Re: My 04/07 13:21 post on NMSU v. NCDC Tucumcari data
I have now manually transferred the NMSU data for 1905-1949 to my Excel program to compare it to the USHCN data. I have not deciphered NCDC’s algorithm for adjusting the NMSU data but here are a few observations:
1. There are very few missing data in the NMSU data set; OCT and NOV in 1907 and AUG through DEC in 1920. It appears there may have been an instrument problem in 1920 that corrupted some data. It is not apparent to me how NCDC filled these missing data points in their data set.
2. In addition to the missing data points in the 1915-1949 data sets, there are a small number of data points where the differences between the NMSU and NCDC data exceed three STDEVs; the remining differences are less than 3°F.
3. NCDC adjustments to the 1915-1949 data sets a) increased TMAX for each month in the DJF and MAM seasons and decreased TMAX in the JJA and SON seasons, b) increased TMIN for each month in the DJF and decreased TMIN in MAM seasons; and decreased TMIN in the JJA in ~1/2 of the months and SON by ~1/3 of the months, c) increased TMEAN for each month in the DJF and JJA; decreased TMEAN in MAM seasons; and decreased TMEAN in SEP, OCT but increased it in NOV.
4. The details of the NCDC adjustments are beyond the scope of this post but suffice to say, they are relatively small but extensive. If I knew how to include Excel graphics in WordPress, I could illustrate the nature of the adjustments.
5. I don’t see any direct relationship between the NMSU and NCDC data sets.
Transferring data manually is a slow, boring process for someone with my limited typing skills. I’ll try to transfer more NMSU data when I have time but I doubt that I will see many new trends.
REPLY: Check your email for a message from me, Anthony

hmccard
July 9, 2008 10:47 am

Anthony,
I have not received your email message. I checked my SPAM filter to see it might have been blocked but found no record of that having occurred.

July 9, 2008 8:19 pm

The GISS data apparently does have some adjustments (or “corrections” as they call it) built into their data. The station graphing at GISS (data.giss.nasa.gov/gistemp/station_data/) does not provide raw data graphing – the basic level is “raw GHCN data+USHCN corrections”. This has the effect of creating more apparent warming at Tucumcari. See the comparison and description of the data at http://www.appinsys.com/GlobalWarming/Tucumcari.htm
This also compares the data from the Agricultural Experiment Station, which matches the NOAA GHCN not the GISS data.

hmccard
July 10, 2008 4:21 pm

Anthony,
Re: My earlier posts on NMSU v. NCDC Tucumcari data
I have now manually transferred the NMSU data for 1905-2002 to my Excel program to compare it to the USHCN data Although I didn’t expect to see any new trends, I was quite surprised to see significant step-wise differences between TMEAN, TMAX and TMIN in the two data sets in APR 1957 and APR 1981. Alan Cheetham also noted these differences in his 07/08 post.
I would describe the average of these NCDC adjustments of the NMSU data set as follows:
1) TMEAN – 1915-1956: increase ~0.10°F; 1957-1981: decrease ~1.27°F; and 1982-2002: increase ~0.05°F
2) TMAX – 1915-1956: decrease ~0.17°F; 1957-1981: decrease ~2.03°F; and 1982-2002: increase ~0.07°F
3) TMIN – 1915-1956: increase ~0.43°F; 1957-1981: decrease ~0.42°F; and 1982-2002: decrease ~0.01°F
I cannot think of any logical reasons for NCDC making adjustments of this nature to the NMSU data set.
Alan Cheetham, thanks for making me aware of your website. As regards your question about which of the two data sets, GHCN or GISS is correct, according to my analysis of the NMSU/AES data, it compares very closely (~0.05°C) with the right-hand column of your NOAA-GHCN data table. However, it doesn’t match the USHCN data set that I downloaded from http://cdiac.ornl.gov.
REPLY: I dropped you an email on this subject two days ago, would you kindly reply to info [-at-] surfacestations dot org please? I’d like to get a copy of the spreadsheet. – Anthony

hmccard
July 11, 2008 7:08 am

Anthony,
I would be pleased to send you a copy of my Excel workbook but I haven’t received your email yet. Also, I can’t find an email adress listed on your surfacesstations website. If I called th4e telephone number listed under contacts there, would I be able to obtain an email address?
REPLY: I’ve sent two emails to you, perhaps the MSN spam filter ate them.
email address is info [-at-] surfacestations dot org

hmccard
July 13, 2008 10:12 am

Re: My earlier posts on NMSU v. NCDC Tucumcari data
In my 07/10/2008 post, I described the average NCDC adjustments of the NMSU data set that I observed. Subsequently, I compared the WRCC data set for Tucumcari 4NE (http://www.wrcc.dri.edu/cgi-bin/cliMAIN.pl?nmtucu) with the NMSU data set. With the exception of a larger number of missing data points (19 vs. 7), The NMSU data matches the WRCC data much more closely than the USHCN data; especially during the interval 1915-2002 where that are no significant change in the monthly, seasonal or annual trend patterns.
I would describe the average of these WRCC adjustments of the NMSU data set as follows:
1) TMEAN – 1905-1914: increase ~0.86; s.d. ~.69°F
2) TMEAN – 1915-1948: increase ~0.07°F; S.D. ~0.19
3) TMEAN – 1949-2002: decrease ~0.03°F; S.D. ~0.06
4) The differences in the 1949-2002 interval are essentially within rounding limits (NMSU data is in tenths of °F; the WRCC data is in hundredths of °F).
Is it possible that the historical surface station data archived at the RCCs more closely represent the “raw” temperature data?