Uncertainty in aerosol effective radiative forcing from anthropogenic and natural aerosol parameters in ECHAM6.3-HAM2.3
Yusuf A. Bhatti,Duncan Watson-Parris,Leighton A. Regayre,Hailing Jia,David Neubauer,Ulas Im,Carl Svenhag,Nick Schutgens,Athanasios Tsikerdekis,Athanasios Nenes,Muhammed Irfan,Bastiaan van Diedenhoven,Ardit Arifi,Guangliang Fu,and Otto P. Hasekamp
Institute of Chemical Engineering Sciences, FORTH/ICE-HT, Patras, Greece
School of Architecture, Civil and Environmental Engineering (ENAC), Laboratory of Atmospheric Processes and their Impacts (LAPI), Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland
Institute of Chemical Engineering Sciences, FORTH/ICE-HT, Patras, Greece
School of Architecture, Civil and Environmental Engineering (ENAC), Laboratory of Atmospheric Processes and their Impacts (LAPI), Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland
Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
Aerosols (small airborne particles) impact Earth's climate, but their extent is unknown. By running climate model simulations and using machine learning to emulate millions of additional variants with different settings, we found that natural emissions like sea spray and sulfur are key sources of uncertainty in climate predictions. Our work shows that understanding these natural processes better can help improve climate models and make future climate projections more accurate.
Aerosols (small airborne particles) impact Earth's climate, but their extent is unknown. By...