8 results ·
● Live web index
A
acp.copernicus.org
article
https://acp.copernicus.org/articles/26/1339/2026/
We find that global PM2.5 mortality changes exhibit little sensitivity to injected sulfate amounts, with the most variability driven by precipitation-mediated changes in non-sulfate PM2.5 species (e.g., dust and secondary organic aerosols), whereas ozone-related mortality is primarily driven by surface cooling and hemispheric asymmetries in stratospheric-tropospheric exchange and ozone transport. This study aims to assess the effects of SAI on air pollution mortality, particularly through changes in surface PM2.5 and surface ozone, by using a fully-coupled modeling approach with the Community Earth System Model (CESM2) Whole Atmosphere Climate-Chemistry Model (WACCM6), which includes interactive aerosols and detailed representations of stratospheric and tropospheric chemistry. In the following sections, we evaluate the effects of SAI on surface air quality and associated health outcomes by analyzing changes in PM2.5 and ozone exposure, estimating attributable mortality using epidemiological risk functions, and characterizing the spatial and ensemble variability in these impacts on global and regional scales.
N
ntrs.nasa.gov
official
https://ntrs.nasa.gov/citations/20250009862
Air quality impacts of stratospheric aerosol injections are likely small and mainly driven by changes in climate, not aerosol settling Stratospheric aerosol
D
drawdown.org
article
https://drawdown.org/explorer/deploy-stratospheric-aerosol-injection
* Long-term storage of carbon in soils, sediment, biomass, oceans, and geologic formations after removal of CO₂ from the atmosphere or CO₂ capture from industrial and power generation processes. * Greenhouse gas emissions accrued over the lifetime of a material or product, including as it is produced, transported, used, and disposed of. * The makeup of electricity generation on a power grid, showing the share contributed by various energy sources (e.g., coal, natural gas, nuclear, wind, solar, hydro) relative to total electricity production. * Defined by the International Union for Conservation of Nature as: "A clearly defined geographical space, recognised, dedicated and managed, through legal or other effective means, to achieve the long-term conservation of nature with associated ecosystem services and cultural values." References to PAs here also include other effective area-based conservation measures defined by the IUCN. * A solution that can increase the beneficial impact of another solution through increased effectiveness, lower costs, improved adoption, enhanced global climate impact, and/or other benefits to people and nature.
A
agupubs.onlinelibrary.wiley.com
article
https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2023EF004041
This study investigates how SAI might impact future projections of the environmental conditions which favor the formation of severe weather.
R
repository.library.noaa.gov
official
https://repository.library.noaa.gov/view/noaa/63974
This study uses ensembles of Earth system model simulations of future climate change, with and without hypothetical SAI deployment, to examine possible future
E
essopenarchive.org
article
https://essopenarchive.org/doi/full/10.22541/essoar.15001807/v1
Stratospheric Aerosial Injection (SAI) has been proposed as a method to reduce global surface temperatures. This approach would mimic the
P
pmc.ncbi.nlm.nih.gov
official
https://pmc.ncbi.nlm.nih.gov/articles/PMC8053992/
We focus here on stratospheric aerosol intervention (SAI), a well-studied and relatively feasible SRM scheme that is likely to have a large impact on Earth's
I
iopscience.iop.org
article
https://iopscience.iop.org/article/10.1088/2752-5295/adee3c
We assessed projected changes in precipitation extremes over Africa with SAI1.5 and the SSP2-4.5 scenarios using 9 climate indices (table 1) based on the definitions of the World Meteorological Organization Expert team on climate change detection and indices (ETCCDI; Zhang *et al* 2011). The intervention of SAI1.5 significantly impacts the projected change in the mid-future by significantly reducing PRCPTOT over the EAF, CAF, and northern SAF (figure 2(c)) and increasing PRCPTOT over western WAF A similar spatial pattern of the impact of SAI1.5 is noted for the near-future period, albeit with lower intensities of PRCPTOT, change across all regions (figures S1(a)–(c)). The N95 index, representing the number of very wet days per year (figures 2(m)–(o)), increases under SSP2-4.5 by 1 to days yr−1 in EAF and CAF, while under SAI1.5 with respect to control period, these increases are either diminished or reversed across SAF and WAF (−0.5 to −1.5 d yr−1). **Figure 4.** Projected mean regional differences between SAI and SSP2-4.5 scenario for precipitation extreme indices for the mid-future period (2050–2069).