| Literature DB >> 35522706 |
Mang Lin1,2,3,4, Mark H Thiemens5.
Abstract
Reconstruction of past solar activity or high-energy events of our space environment using cosmogenic radionuclides allows evaluation of their intensities, frequencies, and potential damages to humans in near space, modern satellite technologies, and ecosystems. This approach is limited by our understanding of cosmogenic radionuclide production, transformation, and transport in the atmosphere. Cosmogenic radiosulfur (35S) provides additional insights due to its ideal half-life (87.4 d), extensively studied atmospheric chemistry (gas and solid), and ubiquitous nature. Here, we report multiyear measurements of atmospheric 35S and show the sensitivity of 35S in tracking solar activity in Solar Cycle 24 and regional atmospheric circulation changes during the 2015/2016 El Niño. Incorporating 35S into a universal cosmogenic radionuclide model as an independent parameter facilitates better modeling of production and transport of other long-lived radionuclides with different atmospheric chemistries used for reconstructing past astronomical, geomagnetic, and climatic events.Entities:
Keywords: ENSO; cosmic rays; cosmogenic radionuclides; solar cycle; sulfur-35
Year: 2022 PMID: 35522706 PMCID: PMC9171650 DOI: 10.1073/pnas.2121550119
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 12.779
Fig. 1.(A) Schematic graphs showing how the strength of solar activity (characterized by sunspot numbers) influences atmospheric 35S concentrations. In solar minimum, weaker solar wind allows less modulation and more high-energy cosmic rays get through, leading to higher 35S production in the Earth’s atmosphere. (B) Time series of monthly 35SO4 concentrations, sunspot number, and rainfall. Error bars stand for ±1 SD of monthly averages. (C) Correlations between monthly 35SO4 concentrations and sunspot numbers.
Fig. 2.(A) Same as Fig. 1 but for monthly 35S-specific activity (see main text and for reasoning) and Oceanic Niño Index. The 35S-specific activities in all samples (gray circles; n = 102) are shown with analytical errors. (B) Tropopause pressure anomalies (TPA) over the West Coast of the United States (with respect to 1991 to 2020 baselines) in November to January during 2014 to 2015 (Left) and 2015 to 2016 (Right) calculated from daily National Centers for Environmental Prediction (NCEP) reanalysis data (https://psl.noaa.gov/data/histdata/). The white star indicates our sampling site.