How USHCN Hides The Decline In US Temperatures

Bookmark this image. It is an important one.

The animation below shows how USHCN turns a measured strong cooling trend since 1930, into a strong computer generated warming trend.

USHCN2 uses a three step process to cool the past and warm the present. Going from the actual measured daily data to “raw monthly” reduces the decline. The TOBS adjustment flips the trend from cooling to warming, and then a final mysterious adjustment creates a strong warming trend.

Whatever the final mysterious adjustment is, it has to include UHI – which would do the exact opposite of what we are seeing.

Watch those older temperatures plummet inside Tom Karl and James Hansen’s computer games, which are used to influence critical US government policy decisions.

They cool the 1930s by 1.3 degrees, and then claim that the past decade has been the warmest by a few tenths of a degree. Enron accountants would be proud of such fine data presentation.

Here is the raw data :

Annual mean temperature				
Year	Final	TOBS	Raw Mon	Raw Daily
1895	50.8238	51.5976	52.0229	51.7933
1896	52.2809	52.9022	53.3272	53.1625
1897	51.8844	52.8514	53.2431	52.6462
1898	51.8864	52.643	53.0419	52.4688
1899	51.3403	52.1889	52.5943	52.14
1900	53.0165	53.6989	54.1184	53.6768
1901	51.9206	52.5671	52.9934	52.7932
1902	51.8397	52.8739	53.2953	53.3644
1903	51.0262	51.8507	52.2838	52.4552
1904	51.054	51.6906	52.1644	52.2488
1905	51.2511	51.9902	52.4888	52.8275
1906	52.088	52.7587	53.2757	53.4417
1907	51.5418	52.0664	52.5959	52.8607
1908	52.4139	53.0658	53.6077	53.8707
1909	51.6415	52.2006	52.7561	52.9568
1910	52.4111	52.9136	53.4617	53.616
1911	52.4722	53.0994	53.6438	53.8018
1912	50.6213	51.0922	51.6369	51.6488
1913	52.2148	52.7031	53.2359	53.4153
1914	52.0292	52.5335	53.0508	53.3569
1915	51.784	52.2787	52.7877	52.9378
1916	51.1156	51.5707	52.0749	52.3302
1917	50.0746	50.4947	50.9875	51.2157
1918	52.1272	52.6076	53.1274	53.3833
1919	51.9758	52.4153	53.0441	53.1777
1920	51.2764	51.6287	52.2635	52.3852
1921	54.1549	54.5322	55.1711	55.3783
1922	52.4453	52.7612	53.4001	53.6006
1923	51.9644	52.3927	53.0215	53.1354
1924	50.7096	51.1177	51.7475	51.7446
1925	52.6852	53.0965	53.7201	53.7901
1926	51.9254	52.3112	52.935	53.1096
1927	52.375	52.7154	53.3437	53.5016
1928	52.1205	52.4675	53.0891	53.2639
1929	51.1531	51.4756	52.1046	52.2935
1930	52.3813	52.7408	53.3732	53.5467
1931	54.0087	54.3861	55.0183	55.2218
1932	52.2384	52.5495	53.1818	53.278
1933	53.3265	53.6666	54.3029	54.5414
1934	53.989	54.3558	54.9954	55.255
1935	52.0702	52.4514	53.0891	53.311
1936	52.3474	52.726	53.3643	53.5698
1937	51.8562	52.2686	52.9043	53.0584
1938	53.5804	53.9512	54.5867	54.8383
1939	53.5144	53.8395	54.4722	54.7079
1940	51.8165	52.1595	52.7787	52.909
1941	53.1502	53.5066	54.1103	54.3949
1942	52.2248	52.5783	53.183	53.4078
1943	52.1761	52.5363	53.1403	53.3393
1944	52.3138	52.6629	53.264	53.4623
1945	52.0555	52.3831	52.9792	53.1569
1946	53.3372	53.6925	54.2815	54.4585
1947	52.2049	52.549	53.1238	53.201
1948	51.9904	52.2786	52.8177	53.0302
1949	52.7433	53.0369	53.5483	53.7162
1950	51.5784	51.9211	52.4644	52.6067
1951	51.4984	51.7855	52.367	52.5191
1952	52.7636	53.0382	53.6317	53.7631
1953	53.8154	54.032	54.6304	54.8696
1954	53.5091	53.7636	54.366	54.5387
1955	52.1456	52.4245	53.025	53.2177
1956	52.5803	52.8678	53.4697	53.6018
1957	52.4659	52.7411	53.3392	53.5039
1958	52.0016	52.2574	52.8494	53.0925
1959	52.5009	52.7354	53.3237	53.5314
1960	51.6225	51.8461	52.4247	52.5684
1961	52.1313	52.3673	52.9411	53.1288
1962	51.9887	52.2079	52.7732	53.0004
1963	52.2654	52.4744	53.0294	53.2371
1964	52.1118	52.3048	52.853	52.9835
1965	52.0126	52.2504	52.7912	52.9888
1966	51.6998	51.9015	52.4392	52.6615
1967	51.9265	52.1624	52.6955	52.9172
1968	51.6594	51.887	52.4231	52.5559
1969	51.6684	51.892	52.4224	52.606
1970	51.9608	52.1359	52.6631	52.8194
1971	52.0592	52.277	52.8004	52.9572
1972	51.5573	51.7001	52.2175	52.4016
1973	52.8542	52.9745	53.4735	53.6349
1974	52.5408	52.6878	53.1747	53.3257
1975	52.0574	52.224	52.701	52.886
1976	51.6975	51.8737	52.3369	52.4095
1977	52.7275	52.9353	53.3852	53.5361
1978	51.1932	51.3958	51.8519	52.0666
1979	51.2177	51.3752	51.8283	51.8982
1980	52.4812	52.6924	53.1259	53.1583
1981	53.1177	53.2684	53.6924	53.8122
1982	51.6813	51.8229	52.2321	52.3396
1983	52.2588	52.3725	52.7648	52.836
1984	52.3273	52.4656	52.8417	52.8572
1985	51.6307	51.8169	52.1843	52.2285
1986	53.5176	53.6439	53.9995	54.0424
1987	53.6914	53.7545	54.0878	54.135
1988	52.7676	52.8709	53.176	53.1565
1989	51.8979	52.0191	52.3075	52.3624
1990	54.0088	54.0925	54.3698	54.3858
1991	53.6704	53.784	54.0513	54.0898
1992	52.7171	52.7752	53.032	53.0079
1993	51.5846	51.6756	51.9257	51.9811
1994	53.0008	53.0425	53.2911	53.3371
1995	52.8706	52.9351	53.1743	53.1804
1996	51.9067	51.9151	52.1478	52.1397
1997	52.4398	52.5399	52.7461	52.759
1998	54.8446	54.8559	55.0189	55.0342
1999	54.1791	54.1412	54.2886	54.3325
2000	53.2734	53.3107	53.4411	53.392
2001	53.9042	53.8459	53.9652	54.0463
2002	53.5878	53.5286	53.6377	53.6756
2003	53.2427	53.2095	53.305	53.3645
2004	53.3392	53.303	53.3872	53.4287
2005	53.8421	53.6995	53.7553	53.8369
2006	54.5593	54.4584	54.5085	54.5956
2007	53.8652	53.7458	53.7856	53.8992
2008	52.4643	51.8723	51.9012	52.3352
2009	52.4908	52.2082	52.2394	52.4017
2010	53.3481	53.1867	53.2142	53.3777
2011	53.4557	53.1317	53.1609	53.3417
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27 Responses to How USHCN Hides The Decline In US Temperatures

  1. suyts says:

    you gonna tackle the GHCN next? This is great stuff Steve!

  2. chris y says:

    So now we know that the top-quality, best-in-the-world temperature network in the US is claimed to need a couple degrees of correction. This basically means that the GHCN data is complete garbage. Now we know why the UNEP is encouraging all country temperature data sets to be made confidential, especially the raw, unadjusted data.

    Then, climate models are tuned to garbage GHCN ‘data’, together with WAG’s about future atmospheric forcings, to predict temperatures 100 years from now to a few tenth’s of a degree?

    Really?!???

    • Don’t forget the part about replacing tree ring data with garbage GHCN data – because the tree rings don’t match the garbage GHCN data.

      • chris y says:

        It would be interesting to try and convince Jeff Condon to run his Mannomatic algorithm using the unadjusted USHCN temperature data, and see what it spits out for the millenial temperature reconstruction.

  3. Anto says:

    Hi Steve, I’d love to see what kinds of adjustments they apply to the infamous parking lot weather station at the University of Arizona: http://gallery.surfacestations.org/main.php?g2_itemId=1606

  4. tomwys says:

    Wasn’t there a Baltimore site that occasionally sucked in the exhaust of planes taking off at the BWI airport???

    • I miss Maryland. The beautiful bike rides through the forest, the Pub Dog Stout, The Sonoma grill, the cannibals in Baltimore, and the thirty degree drop in temperature which proves global warming

  5. pwl says:

    Steven, how is it that with the Urban Heat Island (UHI) adjustments GO UP? Shouldn’t they go down as a result of UHI adjustments? Am I missing something?

    • Absolutely. It is complete crap.

    • pwl says:

      The city temperatures and impacted areas around the hot spot should be adjusted DOWN for UHI effects not up is what makes sense to me – for it to be a valid potential adjustment.

      However it should also NOT be represented as TEMPERATURE DATA but only clearly marked on every graph as ADJUSTED NOW-NOT-TEMPERATURE DATA otherwise you have committed misrepresentation fraud (aka false information propagation akin to false advertising).

      Now look at the four image blink compare that is posted above and you’ll see that the USHCN2 data set ADDS MORE TEMPERATURE FOR THE UHI ADJUSTMENTS!!! That is backwards! They can’t even do math right, they got the sign wrong! Major math fail!!!

      Is this correct?

    • pwl says:

      Does the people who fabricate the USHCN data sets publish the UHI adjustments they make? Where is the data for these adjustments? And all the other adjustments for that matter?

  6. FineWhatDoYouGot says:

    I have to fact check this…for fun. Where might I find the original source of the raw data?

  7. Brian G Valentine says:

    It is ingrained in liberal thinking – make things (including themselves) seem more important by making other things and people appear smaller.

    It is the only way they know how to do it

    good night

  8. Andy OZ says:

    Enron….nice one!
    Enron management went to jail for fraud. And they were “the smartest guys in the room”.
    I wonder whether a commission of inquiry could be in the future of all these smart AGW guys?

  9. Slabadang says:

    Chris Y!!
    “Now we know why the UNEP is encouraging all country temperature data sets to be made confidential, especially the raw, unadjusted data.”

    Source? Because thats devestating!

  10. Slabadang says:

    Chris Y!!
    “Now we know why the UNEP is encouraging all country temperature data sets to be made confidential, especially the raw, unadjusted data.”

    Source? Because thats devestating!

  11. Steve Case says:

    What am I missing, if you go to this link:
    http://www.ncdc.noaa.gov/oa/climate/research/ushcn/ushcn.html
    They tell us:

    “Adjustments to account for warming due to the effects of urbanization (purple line) cooled the time series an average of 0.1F throughout the period of record.”

    Here’s the graph:
    http://www.ncdc.noaa.gov/img/climate/research/ushcn/ts.ushcn_anom25_diffs_pg.gif
    Granted all the other adjustments overpower the Urban Heat Island effect, but the adjustments for UHI GO DOWN.

    Previous comments said the adjustments for UHI GO UP.

  12. Steven UK says:

    I know what they’ve done. They’ve added their grant money to the temp data.

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