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Messages from the global raw rural data. Warnings, gotcha’s and tree ring divergence explained!

Have you wondered what the global raw rural data tells us?

What did those thermometers say before the adjustments, smoothing, selection, and averaging?

This just might be the first time anyone has publicly compared the global raw data to published adjusted data sets in this way.

Frank Lansner has been dedicated in the extreme, and has developed a comprehensive Rural Unadjusted Temperature Index, or RUTI. One of the most interesting points to come out of this extensive work is the striking difference between coastal stations and inland stations. Frank kept noticing that the trend of the inland stations was markedly different from coastal stations and island stations.

Fig1. Red-Blue lines mark regions where there was a different coastal to inland trend. In green areas the two trends were similar.

What he finds is perhaps not so unusual: The coastal areas are heavily influenced by the sea surface temperature. Inland stations record larger rises and falls in temperature, which is hardly surprising. But, the implications are potentially large. When records from some stations are smoothed over vast distances (as in 1200 km smoothing), results can be heavily skewed by allowing coastal trends to be smoothed across inland areas. What Lansner [...]

October 15th, 2011 | Tags: , , | Category: Global Warming | Print This Post Print This Post | Email This Post Email This Post | Comments (164)

BOM, GISS have record setting bugs affecting a million square miles?

How bad are these datasets? How sloppy are the data records?

Western Australia (WA) covers 2.5 million square kilometers (1 million square miles, about a third as big as the USA). The average of all WA stations over one month last year was adjusted up by as much as a gobsmacking 0.5 degrees due to a database “bug” – which contributed to August 2009 being the hottest August on record?! That’s one heck of a bug!

Could it get worse? Unbelievably, GISS seems to have lost data for key WA locations that an unpaid volunteer found easily in the BoM online records. GISS only has to maintain copies of records for sixteen stations in WA* which have temperatures current to 2010, but in seven of them they are missing data, and it affects the results. Are they random errors? No, shock me, six errors are upwards: in one case making the spring 2009 average temperatures for Kalgoorlie-Boulder 1.1 C degrees warmer!

But with no-one auditing our BoM or NASA’s GISS, and no team jointly receiving raw data or regulating standards in either agency, temperatures recorded in the field could potentially be listed in official records as being quite [...]

October 27th, 2010 | Tags: , , , | Category: Global Warming | Print This Post Print This Post | Email This Post Email This Post | Comments (128)

Did GISS discover 30% more land in the Northern Hemisphere?

… UPDATED with GLOBAL values! The questions get bigger.  (See below) July 18th.

Frank Lansner has been a busy man, and he’s asking some very thought provoking questions.

The Northern Hemisphere has a ratio of 40% land to 60% oceans, and the Hadley Met Centre seems to use a similar ratio (NH HadCrut Series: 58% ocean, 42% land). But  Frank Lansner wondered why, when he graphed the GISS land-data-set alongside the combined-sea-surface-temperatures (CSST), GISS comes up with an “averaged” line that runs much closer to the land data set and not the sea surface set. If it were weighted 60:40 (ocean:land) the combined Northern Hemisphere line ought to run slightly closer to the ocean based temperatures.

So Lansner mixed the land and sea temperatures in different ratios and graphed them and an odd thing occurred. Perhaps there is some good reason for it, but the GISS NH average line is currently running close to a mix that could be almost 70% land, and only 30% ocean. Back in 1985 the NH Average was closer to the sea temps as would be expected. In fact as late as 1995, the NH line still ran at around 40% land area. But somewhere [...]

July 16th, 2010 | Tags: , , | Category: Global Warming | Print This Post Print This Post | Email This Post Email This Post | Comments (131)

Is there any unmassaged data out there?

This is yet another example of things that don’t add up in the world of GISS temperatures in Australia. Previously, we’ve discussed Gladstone and Darwin.

Ken Stewart has been doing some homework, and you can see all the graphs on his blog. Essentially, the Bureau of Met in Australia provides data for Mt. Isa that shows a warming trend of about 0.5 degrees of warming over a century. GISS takes this, adjusts it carefully to “homogenize urban data with rural data”, and gets an answer of 1.1 degrees. (Ironically among other things, “homogenisation” is supposed to compensate for the Urban Heat Island Effect, which would artificially inflate the trend in urban centers.)

To give you an idea of scale, the nearest station is at Cloncurry, 106km east (where a flat trend of 0.05 or so appears in the graph). But, there are other trends that are warmer in other stations. Averaging the five nearest rural stations gives about 0.6 degrees; averaging the nearest ten stations gives between 0.6 and 0.88 degrees.

Mt Isa and surrounds with temperature trends

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March 13th, 2010 | Tags: , , , | Category: Global Warming | Print This Post Print This Post | Email This Post Email This Post | Comments (160)

GISS goulash at Gladstone

Gladstone is half way up the coast of Queensland, and though GISS (the Goddard Institute of Space Studies) can claim it has not “adjusted” the data, it appears to have cherry picked it.

Thanks to Ken Stewart for his detailed attention. The information here and graphs come from his blog.

Here’s how you double the warming trend without “adjusting” the data.

Start with several different records The oldest is the BOM (Bureau of Met) Post Office. The highest is the BOM radar, which stepwise jumps up a whole degree. The last is the BOM Airport, which confirms that the Radar for some reason is 1 degree higher than the rest.

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February 24th, 2010 | Tags: , , , , | Category: Global Warming | Print This Post Print This Post | Email This Post Email This Post | Comments (33)