#DataGate! First ever audit of global temperature data finds freezing tropical islands, boiling towns, boats on land

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What were they thinking?

The fate of the planet is at stake, but the key temperature data set used by climate models contains more than 70 different sorts of problems. Trillions of dollars have been spent because of predictions based on this data – yet even the most baby-basic quality control checks have not been done.

Thanks to Dr John McLean, we see how The IPCC demands for cash rest on freak data, empty fields, Fahrenheit temps recorded as Celsius, mistakes in longitude and latitude, brutal adjustments and even spelling errors.

Why. Why. Why wasn’t this done years ago?

So much for that facade. How can people who care about the climate be so sloppy and amateur with the data?

HadCrut4 Global Temperature, 1850 – 2018.

Absurdity everywhere in Hadley Met Centre data

There are cases of tropical islands recording a monthly average of zero degrees — this is the mean of the daily highs and lows for the month. A spot in Romania spent one whole month averaging minus 45 degrees. One site in Colombia recorded three months of over 80 degrees C. That is so incredibly hot that even the minimums there were […]

October 7th, 2018 | Tags: , , , , , , , | Category: Global Warming, Meteorology | Print This Post Print This Post | |

John McLean – ENSO drives sea surface temperatures on the Great Barrier Reef

Ove Hoegh-Guldberg wants us to consider putting sun shades over the Great Barrier Reef, but it begs the question — how much is the reef heating up, and how sure are we that it’s man-made and not natural?

John McLean digs into the data and finds that temperature variations on the reef appear to be closely tied to the ENSO cycle, and that there is little reason to think our SUVs and coal fired plants have anything to do with the rises and falls.

We wonder, as usual, why those paid by taxpayers can’t do the same basic calculations and graphs that the volunteers do online.

 

Great Barrier Reef sea temperatures – What the data says

John McLean

 

Inspired by the absurdity of putting shades on the Great Barrier Reef (GBR), I studied the observational data.

We can extract data for the grid cells that cover the reef from NOAA’s “Optimal Interpolation” sea surface temperature data (see here). When that data is averaged across the entire reef we find that the average sea surface temperature along the Great Barrier Reef has an annual cycle very similar to that of Willis Island, a Bureau of Meteorology observation […]

August 24th, 2012 | Tags: , , , | Category: Global Warming | Print This Post Print This Post | |

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 | |