Scattering and absorbing aerosols in the climate system

J Li, BE Carlson, YL Yung, D Lv, J Hansen… - Nature Reviews Earth & …, 2022 - nature.com
Tropospheric anthropogenic aerosols contribute the second-largest forcing to climate
change, but with high uncertainty owing to their spatio-temporal variability and complicated …

[HTML][HTML] Contribution of the world's main dust source regions to the global cycle of desert dust

JF Kok, AA Adebiyi, S Albani… - Atmospheric …, 2021 - acp.copernicus.org
Even though desert dust is the most abundant aerosol by mass in Earth's atmosphere, the
relative contributions of the world's major source regions to the global dust cycle remain …

Opinion: The scientific and community-building roles of the Geoengineering Model Intercomparison Project (GeoMIP)-past, present, and future

D Visioni, B Kravitz, A Robock, S Tilmes… - Atmospheric …, 2022 - acp.copernicus.org
The Geoengineering Model Intercomparison Project (GeoMIP) is a coordinating framework,
started in 2010, that includes a series of standardized climate model experiments aimed at …

Improving our fundamental understanding of the role of aerosol− cloud interactions in the climate system

JH Seinfeld, C Bretherton, KS Carslaw… - Proceedings of the …, 2016 - National Acad Sciences
The effect of an increase in atmospheric aerosol concentrations on the distribution and
radiative properties of Earth's clouds is the most uncertain component of the overall global …

An underestimated negative cloud feedback from cloud lifetime changes

J Mülmenstädt, M Salzmann, JE Kay… - Nature Climate …, 2021 - nature.com
As the atmosphere warms, part of the cloud population shifts from ice and mixed-phase
('cold') to liquid ('warm') clouds. Because warm clouds are more reflective and longer-lived …

Improved representation of the global dust cycle using observational constraints on dust properties and abundance

JF Kok, AA Adebiyi, S Albani… - Atmospheric …, 2020 - acp.copernicus.org
Even though desert dust is the most abundant aerosol by mass in Earth's atmosphere,
atmospheric models struggle to accurately represent its spatial and temporal distribution …

Predicting global patterns of long-term climate change from short-term simulations using machine learning

LA Mansfield, PJ Nowack, M Kasoar… - npj Climate and …, 2020 - nature.com
Understanding and estimating regional climate change under different anthropogenic
emission scenarios is pivotal for informing societal adaptation and mitigation measures …

The hemispheric contrast in cloud microphysical properties constrains aerosol forcing

IL McCoy, DT McCoy, R Wood… - Proceedings of the …, 2020 - National Acad Sciences
The change in planetary albedo due to aerosol− cloud interactions during the industrial era
is the leading source of uncertainty in inferring Earth's climate sensitivity to increased …

Mitigation of PM and ozone pollution in Delhi: a sensitivity study during the pre-monsoon period

Y Chen, O Wild, E Ryan, SK Sahu… - Atmospheric …, 2020 - acp.copernicus.org
Abstract Fine particulate matter (PM 2.5) and surface ozone (O 3) are major air pollutants in
megacities such as Delhi, but the design of suitable mitigation strategies is challenging …

Global emergence of regional heatwave hotspots outpaces climate model simulations

K Kornhuber, S Bartusek, R Seager… - Proceedings of the …, 2024 - pnas.org
Multiple recent record-shattering weather events raise questions about the adequacy of
climate models to effectively predict and prepare for unprecedented climate impacts on …