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The most significant source of uncertainty in climate prediction remains the radiative forcing of anthropogenic aerosols linked to aerosol-u2010cloud interactions. We've embedded the PNC RFRM in GISS'u2010ModelE2. 1, which is one of CMIP6's most popular CMIP6 modules, and it's been used in the PNC RFRM in GISS' GISSu2010ModelE2. 1. The GISSModelE2. 1 simulation based on RFRM reduces the fluctuations of cloud droplet number concentration associated with anthropogenic emissions that accompany anthropogenic activities, while decreasing the RFaci from u22121. 46 to u22121. 11 Wru22122. 11.
Plant stress in a changing climate is expected to raise plant volatile organic compound emissions and, by extension, influence the development of secondary organic aerosol concentrations, which can also influence cloud and aerosol's radiative properties. However, global aerosol-u2010climate models do not generally include plant stress-induced VOCs in their emission estimates. Expanding the number of stresses to the aforementioned tree species, according to our analyses, has significantly raised the SOA burden, particularly in the areas where these trees are planted. Increased VOC emissions as a result of increased stress have contributed to increased stress, resulting in increased SOA formation through oxidation of VOCs to low VOCs. In addition, the cloud droplet number concentration in the cloud top increased with increasing amounts of biotic stress.
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