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From: Brumar89	1/8/2015 12:39:42 PM
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Ecologist discusses USHCN torture of CA temperature data: Peter Miesler Helps Expose USHCN Homogenization Insanity and Antarctic Illusions. Guest Blogger / 8 hours ago January 7, 2015 Guest essay by Jim Steele ...................... The WRCC climatologists correctly noted Yosemite’s raw data was not available until 1907, but USHCN’s adjusted data always starts in the 1890s. Since those earliest temperatures are merely modeled from data presumably collected elsewhere, early temperatures are susceptible to the “modeling whim du jour” and in this case the 2015 model had created a steeper 20th century warming trend in just 2 years. I finally realized the USHCN is perpetually altering temperature trends. I had naively assumed that after the publication of Menne (2009), that USHCN trends published after 2009 would remain fixed because data had been quality controlled for all known changes in location and instrumentation and further homogenized whenever Menne’s algorithm assumed a changing trend might not be natural. Anthony Watts, myself and many others have questioned the distortions created by homogenization and have warned about resulting warming biases. One reason for questioning Menne’s fsulting bias, is evidenced when his homogenization algorithm minimized/eliminated a well-documented 20th century cooling trend in the south eastern portion of the USA. It is ironic that while Menne’s algorithm slowly eliminates a cooling trend in the original data, simultaneously southern USA is increasingly setting more record lows and more record lows are predicted for 2015. (With freezing temperatures in Jacksonville Florida will mangroves “flee” southward contradicting a previous bogus publication that global warming was moving mangroves northward?) As an ecologist, I never trusted homogenized USHCN data because it alters trends in local mean temperature and removes local variability in an attempt to extract a presumed “real” climate trend. As Menne writes, “although homogenization generally ensures that climate trends can be more confidently inter-compared between sites, the effect of relative biases will still be reflected in the mean temperatures of homogenized series.” But Menne’s algorithm is definitely not ensuring reliable trends! Historical trends are dramatically reversing from warming to cooling in just over 2 years. After re-reading Menne (2004) I realized that USHCN data is updated monthly and fully reprocessed and adjusted for shifts from the recent past. Although tampering with raw data in other scientific disciplines results in retractions and disciplinary actions, Menne’s brand of science boasts, “Daily adjustments are thus a promising area for future HCN development.” The bizarre consequences of USHCN’s monthly homogenization adjustments are seen by comparing changes in Death Valley’s maximum temperature trends over the past 2 years (solid black line). Adjustments were inflicted despite the fact the data had been quality controlled and adjusted several years before. The graph below (on the right) was published in may book in 2013 and also used in a post discussing how natural weather dynamics created Death Valley’s world-record high temperature long before CO2 concentrations had any significance. The new graph on the left was downloaded on January 2, 2015. Like so many “pesky” warming-peaks of the past that defy CO2 warming theory, USHCN’s algorithm is slowly whittling away at original temperature data that otherwise would reveal a more cyclical nature to climate change. By what possible logic, would 2 years of additional data suddenly reverse a cooling trend since the 30s and create a warming trend? I suggest we need to ask Congress for a full investigation. (Hat tip to Miesler) ................ http://wattsupwiththat.com/2015/01/07/peter-miesler-helps-expose-ushcn-homogenization-insanity-and-antarctic-illusions/

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