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New Climate Research Authenticates Lack of The Infamous Greenhouse Tropical Hotspot

Why "Infamous"? Because no one has ever located this climate unicorn.

The hotspot is an essential claim of climate change doomsday beliefs - the belief that it exists and persists in the mid-troposphere. Combine that with the IPCC's experts reliance on climate models' pseudo-science which predict that increases of atmospheric trace greenhouse gases (CO2, methane, etc.) are the cause of the hotspot.

Many doomsday climate scientists believe that an atmospheric hotspot exists, and for some, it is indicative of an Earth rapidly warming to become a Venus-like oven, thus leading to our planet's oceans boiling.

Hence, for the gullible politicians and journalists, a fake climate crisis posing as an existential threat.

But new peer-reviewed research from a NOAA climate scientist team confirms what doomsday skeptics have been reporting for years: that the climate model's tropical hotspot is non-existent. Recent articles about this new NOAA temperature research can be found here, here and here.

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This NOAA team of scientists corroborate the findings of the UAH satellite dataset record for the mid-troposphere over the tropics. (Also corroborating the UAH lower troposphere temperature records.)

To put an empirical point on it, the satellite observations show that the tropical mid-troposphere has been cooling since August 2012 (see chart) even with the El Niño temperature spikes of 2015-16 and 2018-19.

Stated another way, that is over 10 years with no significant warming and no permanent hotspot.

Confirmation of the satellite data can be found at this NOAA site of surface tropical temperatures for the Hawaiian region, which has also been cooling, since October 2012.

Conclusion: The 'expert' computer climate change models have dangerously overstated how much warming would be the result of trace greenhouse gases. These egregious climate warming predictions cascade into even more dangerous errors about the ultimate impacts of climate change.

And let it be known that computer models for the climate are not alone when it comes to bad predictions: some of the worst predictions are realized almost on a daily basis from computer models used for COVID deaths, short-term weather forecasting, economic forecasting, or stock market performance.

This simple truth is why policymakers should never rely on computer model outputs. Computer models are great for research but not for correctly predicting the future.

Additional prior climate model charts and links to past posts on failed predictions.

Note: Source for UAH mid-troposphere data. Excel used to plot data points and calculate trend.

Survey: Teenage Climate Doomsday Influencer's Impact On Young Adults Appears To Be Waning, Bigly

The U.N. and big MSM made Greta Thurnberg out to be a scholar on climate change doomsday scenarios. But her oversized influence on young adults must be cratering in regards to the climate change narrative. Article

 

NOAA Confirms U.S. Precipitation Amounts Are Little Changed Since 1895 Despite Large CO2 Emissions

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If CO2 emissions are the cause of large changes in precipitation amounts, that climate result is not evident in the amount of precipitation recorded going back to 1895.

The adjacent chart is a plot of NOAA climate data for the U.S.

Average monthly precipitation from January 1895 through March 2023 was 2.51 inches. In contrast, the average from January 1950 through March 2023 was 2.54".

Reflecting on the data, the United States is not suffering from a deluge or a drought of precipitation on a constant basis, which both are claimed as a current existential threat by persons ignorant of the scientific and empirical evidence.

With that said, there are times when very dry and very wet periods occur within specific regions of the U.S. but both are results of a natural climate variability, not CO2 emissions.

Note: Source of precipitation data. Excel used to create plots of precipitation levels; Excel used to produce the 1.5 standard deviation range seen on chart. Approximately 7% of precipitation data points are outside the range at top and bottom. Red curve is rolling 55-year (660 month) average since 1895 (1950 was beginning of large industrial/consumer CO2 emissions era).