The surprising local weather chart @climateofgavin does not need you to see – what’s flawed with it?

Just a few days ago, climate researcher Dr. Roy Spencer suggests that US warming trends may be largely wrong.

In his analysis, Dr. Spencer found another dataset maintained by the National Oceanic and Atmospheric Administration (NOAA) and found that weather stations used to measure climate trends, taking into account population density, report lower long-term temperature trends:

“… The stations with the highest population density had a warming trend of ~ 0.25 ° C / decade, with a reduced warming trend as the population density was reduced …”

He adds:

“Significantly, extrapolating to zero population density in the United States between 1973 and 2011 would result in essentially no warming. As we shall see (below), there has been a significant warming trend in official temperature records, consistent with warming in the most densely populated locations.

How can this result be explained otherwise than for at least for the period 1973-2011 (1) spurious warming occurred at the stations with higher population density and (2) the evidence essentially supports no warming when there were no people (population density zero) ) to change the microclimate around thermometer locations?

I am not claiming that there has been no global warming (whatever the cause). I claim there is evidence of improper heating of the thermometer data that needs to be removed. “

He also cited my work published at AGU in 2015:

Note that this is roughly in line with the trend I get for stations with the highest (and not the lowest) population density. Anthony Watts reported qualitatively similar results with different data as early as 2015.

In this sense, the atmospheric researcher Dr. Wei Zhang, in response to a tweet I made today that announced the appointment of NASA-GISS Dr. Gavin Schmidt waved to a senior climate advisor at the White House through Biden to say the following: and included a graph of his analysis that I hadn’t seen before:

We know that with Gavin the temperature will rise … No matter what the thermometers say. I’m still waiting for a plausible explanation of why temperature adjustments correlate almost perfectly with carbon dioxide. Would expect the correlation to be close to zero.

For those of you who don’t understand the meaning of it right away, here is the meat of it.

What Wei Zhang illustrated is a near perfect correlation between adjustments to the surface temperature record by NASA GISS (and Gavin Schmidt) and the concentration of CO2 in the atmosphere. They artificially cooled the past before 1960 (around the time Mauna Loa’s CO2 measurements began) and artificially heated it in 1960 to this day.

The result? A steeper warming trend than actually seen in the unmatched data.

It’s evidence of man-made climate change that results from adjusting temperature data to a certain premise. The human-made CO2 that is released into the atmosphere drives temperature.

From the analysis by Dr. However, Wei Zhang makes it clear that statistical adjustments are the main drivers of the rise in temperature.

In my opinion, this is either scientific incompetence or fraud in my view, possibly both. I rarely use the word “fraud” in my criticism, but when it comes to millions of dollars for the prestige of being named White House Climate Adviser, is it still possible? How does such a scientific incompetence persist for years when they are real scientific experts?

The curious want to know.

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