Inside the ASOS HO83 Temp/dewpoint sensor

10 01 2008
Hygrothermometer
HO83 ASOS Hygrothermometer
(temperature/dewpoint sensor)

Much has been written about problems with artificially high temperature readings due to the HO83 aspirated air temperature/dewpoint temperature sensor used on NOAA Automated Surface Observing Stations (ASOS). The most famous problem occurred in Tucson, AZ in the  mid 1980’s where a malfunctioning HO83 unit created dozens of new high temperature records for the city, even though surrounding areas had no such measured extremes. Unfortunately those new high temperature records including the all time high of 117 degrees F, became part of the official climate record and still stand today. Here is a New York Times article that highlights the problem and a research paper from Kessler et al outlining similar problems in Albany New York as well as Tucson.

But we haven’t really known much about the detail and inner workings of the HO83. Fortunately, I’ve located a NOAA training course on the original model HO83 and its improved replacement, the model 1088  The NOAA online tutorial provides some detail on its inner workings, with pictorials and schematics.

See the NOAA HO83/1088 online training course. 

In an internal NOAA Document from 2002 that outlines a software upgrade that was designed to improve performance and reliability of the ASOS temperature and dewpoint system, they have a description of its operation:

1.1.2 New Dew Point Temperature Replacement Sensor Currently ASOS uses a hygrothermometer (H083 or 1088) sensor for measuring both ambient and dew point temperatures. This sensor uses a platinum wire Resistive Temperature Device (RTD) to measure ambient temperature and a chilled mirror to determine dew point temperature. The mirror is cooled by a thermoelectric or Peltier cooler until dew or frost begins to condense on the mirror surface. The body of the mirror contains a platinum wire RTD and the mirror’s temperature is measured and reported as the dew point temperature. The ambient temperature sensor for both hygrothermometers meets ASOS performance requirements.

The dew point temperature sensor performance is below expectations.

In order to improve the performance of the dew point temperature sensor, the NWS looked for a more reliable technology. The new sensor measures relative humidity via capacitance and then the dew point temperature is calculated and processed through the ASOS algorithms. The ASOS data processing algorithms have not changed; only the dew point temperature sensor has been replaced. The new ASOS dew point temperature replacement sensor is the Vaisala DTS1.

They also issued the ASOS Product Improvement Implementation Plan in 2002 which outlines all of the stations in the USA that were scheduled to get the upgraded temperature/dewpoint sensor.

One of the biggest problems was that the early design of the HO83 allowed exhaust air (warmed by the warm side of Peltier chip) to recirculate from the mushroom shaped cap down the sides of the chamber, and back into the air inlet at the bottom. The problem was solved a few years later by the addition of a metal skirt which deflects the exhaust air.

ho83-original-modified.png

Unfortunately, even though NOAA has modernization plans in place for the ASOS network, there are still some of the original designs that remain in operation today, such as this USHCN station which is the official climate station of record for New Orleans:

NOLA_H083_closeup
Photo from sufracestations.org volunteer Fred Perkins 8/25/07 click for larger photo.

Thus, the HO83 induced bias first noted in the mid 1980’s continues in the surface temperature record even today.

While only 5% of the USHCN network is ASOS, the biases produced by the HO83 are quite large, and there appears to be no adjustments to remove the bias. Since determining the individidual maintenance records and biases of each ASOS station would be a significant task, the simplest solution would be to remove all ASOS stations from the USHCN record set.





How not to measure Temperature, part 46. Reno’s USHCN Station

10 01 2008

Last summer I attempted to do a survey of Reno’s USHCN official climate station. But I was thwarted by its placement at the Reno International Airport due to security and lack of accessible photographic vantage points. Reno’s USHCN station is particularly important due to it being part of the test cases of stations in the new USHCN2 scheme being implemented by NCDC. It’s also important due to it’s steep temperature trend which appears to be more of an urban heat island issue than a climate change issue. It shows up as a hot spot in USHCN contours done by Steve McIntyre.

reno-nv-station-plot.png

While there wasn’t good Google Earth photography online last summer, that has since been remedied, and high resolution photographs are now available at Google Earth and at Microsoft’s Live Earth. Having these, I was able to complete the station survey and determine that this station is a CRN4 rating due to proximity to the ILS building with a/c exhaust vents, less than 10 meters away. A CRN4 rating is unusual for an ASOS station.

reno-nv-asos.jpg
The Reno USHCN ASOS station undergoing repair, looking west. 
(HO83 hygrothermometer repair perhaps?)

The Reno USHCN station is in the middle of the runway complex, between runways 16L and 16R. And what is interesting about that placement is that it seems the color/albedo of the surface where it is located is actually darker with a lower albedo than than of the nearby runways as shown below.

Reno NV ASOS aerial wide 

You can see a complete photo collection of the Reno USHCN station here.

In wondering about just how this placement between runways on a darker surface environment might contribute to the upward trend in the GISS temperature graph shown above, I did some searching online and soon discovered that NOAA uses Reno’s placement problems as an example in a training manual for climate monitoring COOP managers. They’d already done all the work for me! More on that internal NOAA training manual later, as it has provided a wealth of information previously undisclosed.

What was amazing is that they’d already determined that there were significant problems with this USHCN station placement that contributed a significant warming bias to the record.

From that manual:

Reno’s busy urban airport has seen the growth of an urban heat bubble on its north end.
The corresponding graph of mean annual minimum temperature (average of 365 nighttime
minimums each year) has as a consequence been steadily rising. When the new
ASOS sensor was installed, the site was moved to the much cooler south end of the
runway. Nearby records indicate that the two cool post-ASOS years should have been
warmer rather than cooler. When air traffic controllers asked for a location not so close
to nearby trees (for better wind readings), the station was moved back. The first move
was documented, the second was not. The climate record shows both the steady warming
of the site, as well as the big difference in overnight temperature between one end of this
flat and seemingly homogeneous setting, an observation borne out by automobile
traverses around the airport at night.

They were also kind enough to provide a photo essay of their own as well as a graph. You can click the aerial photo to get a Google Earth interactive view of the area.

reno-nv-asos-relocation.jpg

This is NOAA’s graph showing the changes to the official climate record when they made station moves:

reno-nv-asos-station-moves-plot.png

Source for 24a and 24b: NOAA Internal Training manual, 2004-2007

What is striking about this is that here we have NOAA documenting the effects of an “urban heat bubble” something that Parker 2003 et al say “doesn’t exist“, plus we have inclusion a site with known issues, held up as a bad example for training the operational folks, being used in a case study for the new USHCN2 system.

It seems that Parker is looking more and more foolish with his attempts to make UHI “disappear” when NOAA references UHI problems with station placement in their own training manuals.

I’ll have more on revelations from this internal training manual from NOAA coming soon, plus I have my Paint Experiment Data collated, and I’ll be publishing results of that Latex -vs- Whitewash likely over the weekend.