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
you gonna tackle the GHCN next? This is great stuff Steve!
Sure – where is the data?
Lol, I was hoping you knew.
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.
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.
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
The asphalt is probably causing a lot of artificial cooling, and needs to be adjusted upwards.
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
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.
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?
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?
I have to fact check this…for fun. Where might I find the original source of the raw data?
That is not a simple answer, but I have documented the process in quite a few posts. Look in the search bar for USHCN and source code
I looked but could not find. This should be a simple answer.
No it isn’t a simple answer and I have provided lots of documentation. There are tens of millions of daily temperature records.
Start here
http://stevengoddard.wordpress.com/2012/07/12/ushcn-code-released/
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
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?
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!
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!
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.
I know what they’ve done. They’ve added their grant money to the temp data.
Quick links to data
http://www.ncdc.noaa.gov/oa/climate/research/ushcn/
Raw data somewhere in here
ftp://ftp.ncdc.noaa.gov/pub/data/ushcn/v2/monthly/
See also
http://www.surfacestations.org/about.htm
The methodolocy for temperature adjustments is here:
http://www.ncdc.noaa.gov/oa/climate/research/ushcn/ushcn.html
Another critique is here:
http://jennifermarohasy.com/2009/06/how-the-us-temperature-record-is-adjusted/
The USHCN2 adjustments are actually about 3X as large as the USHCN1 adjustments in the article you linked.