New study shows half of the global warming in the USA is artificial

PRESS RELEASE – U.S. Temperature trends show a spurious doubling due to NOAA station siting problems and post measurement adjustments.

Chico, CA July 29th, 2012 – 12 PM PDT – FOR IMMEDIATE RELEASE

A comparison and summary of trends is shown from the paper. Acceptably placed thermometers away from common urban influences read much cooler nationwide:

A reanalysis of U.S. surface station temperatures has been performed using the recently WMO-approved Siting Classification System devised by METEO-France’s Michel Leroy. The new siting classification more accurately characterizes the quality of the location in terms of monitoring long-term spatially representative surface temperature trends. The new analysis demonstrates that reported 1979-2008 U.S. temperature trends are spuriously doubled, with 92% of that over-estimation resulting from erroneous NOAA adjustments of well-sited stations upward. The paper is the first to use the updated siting system which addresses USHCN siting issues and data adjustments.

The new improved assessment, for the years 1979 to 2008, yields a trend of +0.155C per decade from the high quality sites, a +0.248 C per decade trend for poorly sited locations, and a trend of +0.309 C per decade after NOAA adjusts the data. This issue of station siting quality is expected to be an issue with respect to the monitoring of land surface temperature throughout the Global Historical Climate Network and in the BEST network.

Today, a new paper has been released that is the culmination of knowledge gleaned from five years of work by Anthony Watts and the many volunteers and contributors to the SurfaceStations project started in 2007.

This pre-publication draft paper, titled An area and distance weighted analysis of the impacts of station exposure on the U.S. Historical Climatology Network temperatures and temperature trends, is co-authored by Anthony Watts of California, Evan Jones of New York, Stephen McIntyre of Toronto, Canada, and Dr. John R. Christy from the Department of Atmospheric Science, University of Alabama, Huntsville, is to be submitted for publication.

The pre-release of this paper follows the practice embraced by Dr. Richard Muller, of the Berkeley Earth Surface Temperature project in a June 2011 interview with Scientific American’s Michael Lemonick in “Science Talk”, said:

I know that is prior to acceptance, but in the tradition that I grew up in (under Nobel Laureate Luis Alvarez) we always widely distributed “preprints” of papers prior to their publication or even submission. That guaranteed a much wider peer review than we obtained from mere referees.

The USHCN is one of the main metrics used to gauge the temperature changes in the United States. The first wide scale effort to address siting issues, Watts, (2009), a collated photographic survey, showed that approximately 90% of USHCN stations were compromised by encroachment of urbanity in the form of heat sinks and sources, such as concrete, asphalt, air conditioning system heat exchangers, roadways, airport tarmac, and other issues. This finding was backed up by an August 2011 U.S. General Accounting Office investigation and report titled: Climate Monitoring: NOAA Can Improve Management of the U.S. Historical Climatology Network

All three papers examining the station siting issue, using early data gathered by the SurfaceStations project, Menne et al (2010), authored by Dr. Matt Menne of NCDC, Fall et al, 2011, authored by Dr. Souleymane Fall of Tuskeegee University and co-authored by Anthony Watts, and Muller et al 2012, authored by Dr. Richard Muller of the University of California, Berkeley and founder of the Berkeley Earth Surface Temperature Project (BEST) were inconclusive in finding effects on temperature trends used to gauge the temperature change in the United States over the last century.

Lead author of the paper, Anthony Watts, commented:

“I fully accept the previous findings of these papers, including that of the Muller et al 2012 paper. These investigators found exactly what would be expected given the siting metadata they had. However, the Leroy 1999 site rating method employed to create the early metadata, and employed in the Fall et al 2011 paper I co-authored was incomplete, and didn’t properly quantify the effects.

The new rating method employed finds that station siting does indeed have a significant effect on temperature trends.”

Watts et al 2012 has employed a new methodology for station siting, pioneered by Michel Leroy of METEOFrance in 2010, in the paper Leroy 2010, and endorsed by the World Meteorological Organization (WMO) Commission for Instruments and Methods of Observation (CIMO-XV, 2010) Fifteenth session, in September 2010 as a WMO-ISO standard, making it suitable for reevaluating previous studies on the issue of station siting.

Previous papers all used a distance only rating system from Leroy 1999, to gauge the impact of heat sinks and sources near thermometers. Leroy 2010 shows that method to be effective for siting new stations, such as was done by NCDC adopting Leroy 1999 methods with their Climate Reference Network (CRN) in 2002 but ineffective at retroactive siting evaluation.

Leroy 2010 adds one simple but effective physical metric; surface area of the heat sinks/sources within the thermometer viewshed to quantify the total heat dissipation effect.

Using the new Leroy 2010 classification system on the older siting metadata used by Fall et al. (2011), Menne et al. (2010), and Muller et al. (2012), yields dramatically different results.

Using Leroy 2010 methods, the Watts et al 2012 paper, which studies several aspects of USHCN siting issues and data adjustments, concludes that:

These factors, combined with station siting issues, have led to a spurious doubling of U.S. mean temperature trends in the 30 year data period covered by the study from 1979 – 2008.

Other findings include, but are not limited to:

· Statistically significant differences between compliant and non-compliant stations exist, as well as urban and rural stations.

· Poorly sited station trends are adjusted sharply upward, and well sited stations are adjusted upward to match the already-adjusted poor stations.

· Well sited rural stations show a warming nearly three times greater after NOAA adjustment is applied.

· Urban sites warm more rapidly than semi-urban sites, which in turn warm more rapidly than rural sites.

· The raw data Tmean trend for well sited stations is 0.15°C per decade lower than adjusted Tmean trend for poorly sited stations.

· Airport USHCN stations show a significant differences in trends than other USHCN stations, and due to equipment issues and other problems, may not be representative stations for monitoring climate.

###

We will continue to investigate other issues related to bias and adjustments such as TOBs in future studies.

FILES:

This press release in PDF form: Watts_et_al 2012_PRESS RELEASE (PDF)

The paper in draft form: Watts-et-al_2012_discussion_paper_webrelease (PDF)

The Figures for the paper: Watts et al 2012 Figures and Tables (PDF)

A PowerPoint presentation of findings with many additional figures is available online:

Overview -Watts et al Station Siting 8-3-12 (PPT) UPDATED

Methodology – Graphs Presentation (.PPT)

Some additional files may be added as needed.

Contact:

Anthony Watts at: http://wattsupwiththat.com/about-wuwt/contact-2/

References:

GAO-11-800 August 31, 2011, Climate Monitoring: NOAA Can Improve Management of the U.S. Historical Climatology Network Highlights Page (PDF)   Full Report (PDF, 47 pages)   Accessible Text Recommendations (HTML)

Fall, S., Watts, A., Nielsen‐Gammon, J. Jones, E. Niyogi, D. Christy, J. and Pielke, R.A. Sr., 2011, Analysis of the impacts of station exposure on the U.S. Historical Climatology Network temperatures and temperature trends, Journal of Geophysical Research, 116, D14120, doi:10.1029/2010JD015146, 2011

Leroy, M., 1999: Classification d’un site. Note Technique no. 35. Direction des Systèmes d’Observation, Météo-France, 12 pp.

Leroy, M., 2010: Siting Classification for Surface Observing Stations on Land, Climate, and Upper-air Observations JMA/WMO Workshop on Quality Management in Surface, Tokyo, Japan 27-30 July 2010 http://www.jma.go.jp/jma/en/Activities/qmws_2010/CountryReport/CS202_Leroy.pdf

Menne, M. J., C. N. Williams Jr., and M. A. Palecki, 2010: On the reliability of the U.S. surface temperature record, J. Geophys. Res., 115, D11108, doi:10.1029/2009JD013094

Muller, R.A., Curry, J., Groom, D. Jacobsen, R.,Perlmutter, S. Rohde, R. Rosenfeld, A., Wickham, C., Wurtele, J., 2012: Earth Atmospheric Land Surface Temperature and Station Quality in the United States. http://berkeleyearth.org/pdf/berkeley-earth-station-quality.pdf

Watts, A., 2009: Is the U.S. surface temperature record reliable? Published online at: http://wattsupwiththat.files.wordpress.com/2009/05/surfacestationsreport_spring09.pdf

World Meteorological Organization Commission for Instruments and Methods of Observation, Fifteenth session, (CIMO-XV, 2010) WMO publication Number 1064, available online at: http://www.wmo.int/pages/prog/www/CIMO/CIMO15-WMO1064/1064_en.pdf

Notes:

1. The SurfaceStations project was a crowd sourcing project started in June 2007, done entirely with citizen volunteers (over 650), created in response to the realization that very little physical site survey metadata exists for the entire United States Historical Climatological Network (USHCN) and Global Historical Climatological Network (GHCN) surface station records worldwide. This realization came about from a discussion of a paper and some new information that occurred on Dr. Roger Pielke Sr. Research Group Weblog. In particular, a thread regarding the paper: Pielke Sr., R.A., C. Davey, D. Niyogi, S. Fall, J. Steinweg-Woods, K. Hubbard, X. Lin, M. Cai, Y.-K. Lim, H. Li, J. Nielsen-Gammon, K. Gallo, R. Hale, R. Mahmood, R.T. McNider, and P. Blanken, 2007: Unresolved issues with the assessment of multi-decadal global land surface temperature trends. J. Geophys. Res.

2. Some files in the initial press release had some small typographical errors. These have been corrected. Please click on links above for  new press release and figures files.

3. A work page has been established for Watts et al 2012 for the purpose of managing updates. You can view it here.

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Note: This will be top post for a couple of days, new posts will appear below this one. Kinda burned out and have submission to make so don’t expect much new for a day or two. See post below this for a few notes on backstory. Thanks everybody!  – Anthony

NOTE: 7/31/12 this thread has gotten large and unable to load for some commenters, it continues here.

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erik sloneker
July 29, 2012 12:15 pm

Wonderful work. Here’s hoping it does get global exposure. Thanks Anthony for your tireless efforts to peel back the CAGW onion.

July 29, 2012 12:16 pm

Gratz Anthony,
This is what everyone has long suspected, but to see it proved is good news. I know this is a huge project and getting it done must be very gratifying.

July 29, 2012 12:17 pm

Congratulations, Anthony.
Now, all we need is to factor out irrigation and other humidity affecting factors (in the rural sites).

Laws of Nature
July 29, 2012 12:17 pm

Dear Anthony et al.,
congrats for your paper, will it be published in time to be considered in the next IPCC-report?
All the best
LoN

July 29, 2012 12:17 pm

Outstanding, and given the recent pronouncements of Muller, extremely timely.

July 29, 2012 12:17 pm

So Muller had an agenda but fell flat on his face, the true skeptic wins again.
Well done Mr. Watts.

Telboy
July 29, 2012 12:18 pm

Well done Anthony!

Strike
July 29, 2012 12:18 pm

Was waiting whole weekend, wondering what watts will warm.
Cool, it’s Cooling. Congratulations!

Crawford
July 29, 2012 12:18 pm

· Poorly sited station trends are adjusted sharply upward, and well sited stations are adjusted upward to match the already-adjusted poor stations.
Where are these “adjustments” coming from?
It sounds like the data is being manipulated to fit the theory, but that can’t be. The people doing this work are scientists, right?

Philip G.
July 29, 2012 12:18 pm

Where is the paper being submitted to?

Thomas H
July 29, 2012 12:18 pm

Anthony: Minor error found in the presentation slides: >0.0 should be <0.0 (less than).

Craig Loehle
July 29, 2012 12:18 pm

In science the details matter. Hand-waving is not allowed. Anthony and team have bored into this data (and instruments and physics) with clarity and precision. Well-done.

James Sexton
July 29, 2012 12:18 pm

Heh, Well done Anthony! Of course, the larger question will be is how or will this new method be applied toward global temps?

murrayv
July 29, 2012 12:18 pm

Bravissimo!
Now let’s add in the “march of the thermometers”, and upward rounding of airport thermometers.

Thomas
July 29, 2012 12:18 pm

Why do sane people like Mr Watts continue to play the game of the AGW fanatics: 1979-2008? There has been no global warming at all since 1995.

July 29, 2012 12:18 pm

Data trumps hysteria, well at least for those willing to listen to reason. My fear is that reason has left the station.

kadaka (KD Knoebel)
July 29, 2012 12:18 pm

Dear Moderators;
Typo:
Watts et al 2012 has employed a new methodology for station siting, pioneered by Michel Leroy of METEOFrance in 2010, in the paper Leroy 2010, and endorsed was endorsed by the World Meteorological Organization (WMO)…

July 29, 2012 12:18 pm

Someone blew Muller’s BEST away.

July 29, 2012 12:19 pm

We do not have a valid climate database from which we can draw proper conclusions. These adjustment methods are dubious and as Mr. Watts shows, seem to be exaggerated in one direction, “up”. In some databases such as NCDC they go so far as to retroactively re-adjust temperatures with each passing month. In these cases the scheme adjust pre-1950 temperatures colder and post-1950 temperatures warmer. These re-adjustments seem to be additive and this database is now used as the input data for others (e.g. HADCRUT4). Below is a graph showing the cumulative “re-adjustment” of temperatures in the NCDC database since May 2008 until June 2012. We do not have an accurate database on which we can base decision making.
http://climate4you.com/images/NCDC%20MaturityDiagramSince20080517.gif
Basically, what we have been basing decisions on is mathematical prestidigitation.

Beesaman
July 29, 2012 12:19 pm

Over to you Warmists, time for Real Science not some post-modernist ersatz-modelling pseudo science you’ve been getting away with so far!

Guy Fardell
July 29, 2012 12:20 pm

Typo I suppose ……adopting Leroy 199 methods should be leroy 1999 methods.
Thanks for the excellent work!!

Tucker
July 29, 2012 12:20 pm

Any idea on why and how NOAA came to their adjustment methodology?

Henry Galt
July 29, 2012 12:20 pm

Massive congratulations to you. If the numbers are this big the whole edifice is shakey, which gut instinct told many of us when we were first presented with the “adjustments”.
Thanks to all involved.

Steven Hales
July 29, 2012 12:21 pm

Thanks for respecting the other work of BEST, etc. That certainly is how science is supposed to be done, one study with more complete data and better methods reaches a different conclusion and supercedes the prior until it too is replaced with better understanding. There are no high fives (except when the Higgs boson is concerned) in science, it is what it is.

Peter Miller
July 29, 2012 12:21 pm

Whenever those using real science methodology scrutinize any cornerstone of ‘climate science’, the result is always the same: Disclosure of shabby, manipulated data, which has been deliberately distorted to produce results designed to alarm the general public.
The practice of distorting results and data manipulation is so widespread amongst the practitioners of ‘climate science’ that is has not surprisingly fallen into total disrepute, except to dyed in the wool greenies..
However, there are still far too many dodgy, devious politicians willing to milk the green agenda and use the ‘findings’ of the global warming industry as reasons for raising taxes and supporting economically insane renewable energy policies.
Well done Anthony and others.