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http://dx.doi.org/10.1021/acs.est.3c03813 | DOI Listing |
Environ Sci Technol
July 2023
Department of Chemistry & Biochemistry, University of California, San Diego, La Jolla, California 92093, United States.
Environ Sci Pollut Res Int
July 2023
Enzyme Technology Lab, Department of Biosciences, Jamia Millia Islamia, New Delhi, 110025, India.
The global average temperature breaks the record every year, and this unprecedented speed at which it is unfolding is causing serious climate change which in turn impacts the lives of humans and other living organisms. Thus, it is imperative to take immediate action to limit global warming. Increased CO emission from the industrial sector that relies on fossil fuels is the major culprit.
View Article and Find Full Text PDFHealth Phys
February 2022
University of Massachusetts Lowell, 1 University Avenue, Lowell, MA 01854.
After 1750 and the onset of the industrial revolution, the anthropogenic fossil component and the non-fossil component in the total atmospheric CO2 concentration, C(t), began to increase. Despite the lack of knowledge of these two components, claims that all or most of the increase in C(t) since 1800 has been due to the anthropogenic fossil component have continued since they began in 1960 with "Keeling Curve: Increase in CO2 from burning fossil fuel." Data and plots of annual anthropogenic fossil CO2 emissions and concentrations, C(t), published by the Energy Information Administration, are expanded in this paper.
View Article and Find Full Text PDFSci Rep
December 2020
NOAA Global Monitoring Laboratory, Boulder, CO, 80305, USA.
What exactly is the short-time rate of change (growth rate) in the trend of [Formula: see text] data such as the Keeling curve? The answer to this question will obviously depend very much on the duration in time over which the trend has been defined, as well as the smoothing technique that has been used. As an estimate of the short-time rate of change we propose to employ a very simple and robust definition of the trend based on a centered 1-year sliding data window for averaging and a corresponding centered 1-year difference (2-year data window) to estimate its rate of change. In this paper, we show that this simple strategy applied to weekly data of the Keeling curve (1974-2020) gives an estimated rate of change which is perfectly consistent with a more sophisticated regression analysis technique based on Taylor and Fourier series expansions.
View Article and Find Full Text PDFScientometrics
May 2017
Division for Science and Innovation Studies, Administrative Headquarters of the Max Planck Society, Hofgartenstr. 8, 80539 Munich, Germany.
The Keeling curve has become a chemical landmark, whereas the papers by Charles David Keeling about the underlying carbon dioxide measurements are not cited as often as can be expected against the backdrop of his final approval. In this bibliometric study, we analyze Keeling's papers as a case study for under-citedness of climate change publications. Three possible reasons for the under-citedness of Keeling's papers are discussed: (1) The discourse on global cooling at the starting time of Keeling's measurement program, (2) the underestimation of what is often seen as "routine science", and (3) the amount of implicit/informal citations at the expense of explicit/formal (reference-based) citations.
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