Monday, September 04, 2023

The Detection and Attribution of Northern Hemisphere Land Surface Warming (1850-2018) in Terms of Human and Natural Factors: Challenges of Inadequate Data

Global Warming is a hoax and Climate Change is a religion!

This study questions atmospheric temperature measurements. Most temperature measuring stations are located in urban areas thereby severely distorting global measurements. A fact well known for a long time, but deliberately ignored by the climate change propagandists.

The sun is probably the most important influence on climate on earth, but its role has been deliberately concealed or downplayed.

Last, but not least in the year 1900 only 1.6 billion humans were roaming the earth. In 2023, there about 8 billion humans. Each human is about 37C warm. Each human needs warmth when its cold outside etc. etc.

This study is very convoluted. Even the conclusions are a mess!

"... The rural and urban blend indicates a long-term warming of 0.89 °C/century since 1850, while the rural-only indicates 0.55 °C/century. This contradicts a common assumption that current thermometer-based global temperature indices are relatively unaffected by urban warming biases. ...
Our analysis focused on the Northern Hemispheric land component of global surface temperatures since this is the most data-rich component. It reveals that important challenges remain for the broader detection and attribution problem of global warming: (1) urbanization bias remains a substantial problem for the global land temperature data; (2) it is still unclear which (if any) of the many TSI [Total Solar Irradiance] time series in the literature are accurate estimates of past TSI ; (3) the scientific community is not yet in a position to confidently establish whether the warming since 1850 is mostly human-caused, mostly natural, or some combination."

Climate | Free Full-Text | The Detection and Attribution of Northern Hemisphere Land Surface Warming (1850–2018) in Terms of Human and Natural Factors: Challenges of Inadequate Data

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