With respect to “Climate Change”, this website and my contribution to the discussion focuses on the data. I have a standing request/challenge to anyone (scientist or not) to provide an empirical Temperature/CO2 data set that shows CO2 driving the climate on any statistically significant historical time scale. Scientific proof requires empirical data. The Catastrophic Anthropogenic Global Warming (CAGW) theory does not have that empirical data (because that data does not exist).

CSS

Satellite Temperature Comparisons

CSS-40 A very important development just manifested in “climate change” science. Many thanks to Prof. Ross McKitrick for bringing that information to our attention (The important climate study you won’t hear about – Financial Post – April 12th, 2023) and a follow-up by Jo Nova in Iowa Climate Science (Daily News) – April 20th, 2023). The University of Alabama, Huntsville (UAH) has traditionally been the outlier when it came to satellite temperature measurements. The other two major satellite options (Remote Sensing Systems (RSS) and NOAA’s Satellite Applications & Research (STAR) initiative) were more aggressive in both absolute and trend magnitude. Not so anymore!

#climatechange #delaythegreen #globalwarming #showusthedata

NOAA’s STAR initiative has just recently conducted an extensive review of their process, assumptions, etc. and ultimately come into line with the UAH dataset. I must give the scientists at NOAA (led by Cheng-Zhi Zou) some credit for producing a temperature dataset that does not agree with the CAGW alarmist narrative. The detailed technical discussion is provided in their March 3rd, 2023 paper, Mid-Tropospheric Layer Temperature Record Derived From Satellite Microwave Sounder Observations With Backward Merging Approach. Are their motives altruistic or are they just taking some initial steps towards changing the narrative (CYA (?))? Time will tell. A similar move was made by the IPCC in late 2021, when they acknowledged that their models were running too hot and the high-end emission scenarios (ssp3-7.0 and ssp5-8.5) were implausible (ridiculous may be more accurate). Note, the models were running too hot in their ssp2-4.5 lower-case scenario. Those self acknowledgement links can be found in my OPS-55 – The State of Climate Science post. A detailed look at the model projections is laid out in my CSS-30 – CMIP6 Climate Model post. The final product looks the same as Dr. John Christy’s (UAH), I just added in the HadCRUT5 surface data.

Bottom line, the Climate Models are not realistic, but they are still being used to promote our current unscientific, unnecessary, and dangerous “green” policies. And the IPCC leadership, our political “leaders”, the mainstream media, etc. continue to dutifully put out the UN/WEF’s idiotological Catastrophic Anthropogenic Global Warming (CAGW) alarmist narrative. Seriously people, WAKE UP. The models are pure fiction, there is no empirical CO2 Temperature dataset that shows CO2 driving the climate on any statistically significant historical time scale (a basic scientific method requirement) and the data does not support the constant lies being put forward on extreme weather or their most recent attempt at science, “attribution studies”. Those studies which are based on their models that run too hot?

UAH has always been the most accurate global temperature measurement and NOAA-STAR has now officially confirmed that.

STAR Microwave Sounding Calibration and Trends (NOAA)
Mid-Tropospheric Layer Temperature Record Derived From Satellite Microwave Sounder
Ross McKitrick, The important climate study you won’t hear about
Jo Nova, 40 years of expert failure: New-NOAA-STAR satellite temperatures
CSS-30 – CMIP6 Climate Model
OPS-55 – The State of Climate Science
How Sudden Stratospheric Warming Affects the Whole Atmosphere
CSS-29 – Climate Model – TSI/AMO/CO2
UAH Satellite Temperature – Data Source
CSS-30 – CMIP6 Climate Models
CSS-32 – UAH-LT Update – November 2022
OPS-68 – Climate Change – Quick Hits
OPS-69 – Polar Temperature/CO2 Extrapolations
UAH, RSS, NOAA, UW: Which Satellite Dataset Should We Believe?
CSS-20 – Homogenization – Solar Activity Style

For more perspective and more detailed analysis, you can check out some of the following posts.

Ross McKitrick, The important climate study you won’t hear about – Financial Post – April 12th, 2023

https://financialpost.com/opinion/ross-mckitrick-the-important-climate-study-you-wont-hear-about

Jo Nova, 40 years of expert failure: New-NOAA-STAR satellite temperatures only show half the warming that climate models do, Iowa Climate Science (Daily News), April 20th, 2023

Mid-Tropospheric Layer Temperature Record Derived From Satellite Microwave Sounder Observations With Backward Merging Approach, C.Z. Zou, March 3rd, 2023

https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2022JD037472

STAR Microwave Sounding Calibration and Trends (NOAA)

https://www.star.nesdis.noaa.gov/smcd/emb/mscat/products.php

University of Alabama, Huntsville (UAH)

https://www.star.nesdis.noaa.gov/smcd/emb/mscat/products.php

https://www.drroyspencer.com/

Remote Sensing Systems (RSS)

https://www.remss.com/measurements/upper-air-temperature/

Wood For Trees

https://www.woodfortrees.org/

How Sudden Stratospheric Warming Affects the Whole Atmosphere

UAH, RSS, NOAA, UW: Which Satellite Dataset Should We Believe?

https://wattsupwiththat.com/2019/04/25/uah-rss-noaa-uw-which-satellite-dataset-should-we-believe/

Climate Short Story (CSS)

CSS-20 – Homogenization – Solar Activity Style

CSS-29 – Climate Model – TSI-AMO-CO2

CSS-30 – CMIP6 Climate Models

CSS-32 – UAH-LT Update – November 2022

One Page Summary (OPS)

OPS-55 – The State of Climate Science

OPS-68 – Climate Change – Quick Hits

OPS-69 – Polar Temperature/CO2 Extrapolations

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