Not surprisingly, the blatant corruption exposed at Britain’s premiere climate institute was not contained within the nation’s borders. Just months after the Climategate scandal broke, a new study has uncovered compelling evidence that our government’s principal climate centers have also been manipulating worldwide temperature data in order to fraudulently advance the global warming political agenda.
Not only does the preliminary report [PDF] indict a broader network of conspirators, but it also challenges the very mechanism by which global temperatures are measured, published, and historically ranked.
It is certainly impossible to compare it with the past record that had thermometers in the snowy mountains. So we can have no idea if California is warming or cooling by looking at the USHCN data set or the GHCN data set.
But it gets worse.
Yet believe it or not, the manipulation does not stop there.
GISS – Garbage In / Globaloney Out
The scientists at NASA’s GISS are widely considered to be the world’s leading researchers into atmospheric and climate changes. And their Surface Temperature (GISTemp) analysis system is undoubtedly the premiere source for global surface temperature anomaly reports. In creating its widely disseminated maps and charts, the program merges station readings collected from the Scientific Committee on Antarctic Research (SCAR) with GHCN and USHCN data from NOAA.
For each grid box, the stations within that grid box and also any station within 1200km of the center of that box are combined using the reference station method.
An isolated problem? Hardly, reports Smith.
“There’s a wonderful baseline for Bolivia -- a very high mountainous country -- right up until 1990 when the data ends. And if you look on the [GISS] November 2009 anomaly map, you’ll see a very red rosy hot Bolivia [boxed in blue]. But how do you get a hot Bolivia when you haven’t measured the temperature for 20 years?”
Of course, you already know the answer: GISS simply fills in the missing numbers – originally cool, as Bolivia contains proportionately more land above 10,000 feet than any other country in the world – with hot ones available in neighboring stations on a beach in Peru or somewhere in the Amazon jungle.
And those are but a few examples. In fact, throughout the entire grid, cooler station data are dropped and “filled in” by temperatures extrapolated from warmer stations in a manner obviously designed to overestimate warming...
...And convince you that it’s your fault.
Government and Intergovernmental Agencies -- Globaloney In / Green Gospel Out
Smith attributes up to 3°F (more in some places) of added “warming trend” between NOAA’s data adjustment and GIStemp processing.
The biggest gaps and greatest uncertainties are in high latitude areas where the data centers say they 'find' the greatest warming (and thus which contribute the most to their global anomalies). Add to that no adjustment for urban growth and land use changes (even as the world's population increased from 1.5 to 6.7 billion people) [in the NOAA data] and questionable methodology for computing the historical record that very often cools off the early record and you have surface based data sets so seriously flawed, they can no longer be trusted for climate trend or model forecast assessment or decision making by the administration, congress or the EPA.Roger Pielke Sr. has suggested: “...that we move forward with an inclusive assessment of the surface temperature record of CRU, GISS and NCDC. We need to focus on the science issues. This necessarily should involve all research investigators who are working on this topic, with formal assessments chaired and paneled by mutually agreed to climate scientists who do not have a vested interest in the outcome of the evaluations.” I endorse that suggestion.
That the bias exists is not denied. That the data are too sparse and with too many holes over time in not denied. Temperature series programs, like NASA GISS GIStemp try, but fail, to fix the holes and the bias. What is claimed is that "the anomaly will fix it." But it cannot. Comparison of a cold baseline set to a hot present set must create a biased anomaly. It is simply overwhelmed by the task of taking out that much bias. And yet there is more. A whole zoo of adjustments are made to the data. These might be valid in some cases, but the end result is to put in a warming trend of up to several degrees. We are supposed to panic over a 1/10 degree change of "anomaly" but accept 3 degrees of "adjustment" with no worries at all. To accept that GISTemp is "a perfect filter". That is, simply, "nuts". It was a good enough answer at Bastogne, and applies here too.
And that’s exactly what we’d be were we to surrender our freedoms, our economic growth, and even our simplest comforts to duplicitous zealots before checking and double-checking the work of the prophets predicting our doom should we refuse.
Further analysis of the Bolivia and Arctic GISTemp effects can be seen here.
So as we can see amongst the warmist data sets, the tendancy to "adjust their data" is commonplace. The adjustments are invariably up in nature. It explains the graphs.