Sentences with phrase «adjusting buoy»

Excuse me, but those who complain about adjusting buoy data up 0.12 C to the level of ship data, e g Patrick Michaels, Richard Lindzen and Chip Knappenberger (and You Judith?)

Adjusting the buoys (not the ships) produced a spurious warming after 1980, even though it left the longer trend intact.

And again, it doesn't matter whether you adjust buoys up or ships down, however weighted.

I think you are falling for the fallacy that seems to have afflicted even Bates, that somehow it matters whether you adjust buoy to ship or ship to buoy.

The question is whether in the final analysis, the raw buoy data bore any resemblance to the adjusted buoy data.

This was the whole point of the initial arguments in my comment - I was putting clear blue water between the bias adjustment stage and the weighting stage so that we could see how the weighting leveraged the already upwardly adjusted buoy data in each 2 ° x 2 ° monthly bin by 6.8.

Only then was the averaging of the two sets performed in each bin with the effect being that the increased proportion of upwardly adjusted buoy data had far more influence on that average than it would otherwise have done.

Not exact matches

They recalled the «Greenspan put» and the tendency of Yellen's predecessor, Ben Bernanke, to seemingly adjust monetary policy to buoy stock prices.

It doesn't matter for the anomaly trend, if ships are adjusted down by 0.12, or buoys are adjusted up by 0.12.

Although buoy SSTs are generally more homogeneous than ship SSTs, they are adjusted here because otherwise it would be necessary to adjust ship SSTs before 1980 when there were no or very few buoys.

This bias must be corrected and it makes no difference to the trend if you either adjust the ship data down, or the buoy data up, since the trends in both of those sets is the same.

The scientific issue is simple: NOAA made a colossally bad judgement in adjusting the accurate surface buoy data to the wildly inaccurate ship data.

Whether you adjust the ship or the buoys will give the same result.

In addition to the ship SST bias adjustment, the drifting and moored buoy SSTs in ERSST.v4 are adjusted toward ship SSTs, which was not done in ERSST.v3b.

There is no spurious warming due to the chosen practice, «As expected, the global averaged SSTA trends between 1901 and 2012 (refer to Table 2) are the same whether buoy SSTs are adjusted to ship SSTs or the reverse.»

That applies whether you adjust intake or buoy.

Scientists had been testing water temperatures to make the case for global warming and Karl decided to adjust the readings from the buoys by using higher temperature readouts of sea water collected by ships.

Between 1995 and 2001, the trends in the unadjusted data lie at the lower end of the distribution of the trends in the adjusted series reflecting the rapid increase in the number of relatively - cold - biased buoy observations in the record at that time.

Where admitted very poor and very dodgy data from ships buckets and engine inlets is used to adjust reliable ocean buoy data upwards and then the adjusted data is promoted as the new global temperature data.

In a rather bizarre manner that non-biased scientists would not employ, this study massively adjusted up the ocean buoy temperature measurements in order to match the ship records of engine water intake temperature; yet the buoys were designed to measure surrounding sea temperatures, and the engine intakes were not.

It has been noted by investigators that the algorithms used for adjusting satellite observed SST data has been inconsistent, cloud coverage has limited the adequacy of satellite coverage, and in - situ measurements by VOS and buoy networks has been inadequate with respect to the datasets produced by the Advanced Very High Resolution Radiometers (AVHRR), Cross Product Sea Surface Temperature (CPSST), Non-Linear SST (NLSST), and Multi-Channel Sea Surface Temperature (MCSST) methods.

weighted almost 7 times in favour» is, on closer analysis, a 7 times compounding of the upwardly adjusted 0.12 °C buoy data.

The ship SSTA was adjusted based on the NMAT comparators; buoy SSTA was adjusted by a mean difference of 0.12 °C between ship and buoy observations (section 5).

Everyone including Bates clearly knows that buoy data was used (after all, it had to be included as a starting point in order to adjust it upwards).

Sure the buoy data was weighted heavily — AFTER it was adjusted against the ship intake data.

To see that, suppose you adjusted the ship data down by 0.12 to match buoys.

In other words, the number of buoy SSTA data points in each 2 ° x 2 ° monthly bin was multiplied «almost 7 times» meaning that each and every buoy SSTA data point that had by now been adjusted up by 0.12 °C was then reproduced 7 times over in each and every bin.

Ships are back to where they were, and buoys have been adjusted up.

This of course served only to increase the proportion of (upwardly adjusted) buoy SSTA data to ship SSTA data.

The more recent changeover from engine - room intake to buoy measurements requires ocean temperatures recorded over the past 20 years or so to be adjusted slightly to match the earlier measurements.

[snip] As it is a known fact argo buoys were adjusted because were showing a too pronounced cooling of the seas which didn't agree with their «models».

That ship data should be the data adjusted by the HadNMAT, I think, and that would make a connection between HadNMAT2 and buoy data adjustments.

The study did so in part by adjusting for «biases» in the historic data; it pointed out, for example, that the thermometers affixed to modern buoys have been shown to produce lower temperature readings than those carried by ships.

Today, NOAA has adjusted its records to give more weight to the buoys, which have a standard suite of data collecting instruments situated in locations all over the world — and therefore have far fewer variables than a changing shipping fleet.

The methodology and utilization of night marine air temperatures to adjust ship and buoy temperature data;