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Abstract
Radiative forcing geoengineering is discussed as an intermediate solution to partially offset greenhouse gas-driven warming by altering the Earth’s energy budget. Here we use an Earth System Model to analyse the response in Arctic temperatures to radiative geoengineering applied under the representative concentration pathway 8.5 to decrease the radiative forcing to that achieved under the representative concentration pathway 4.5. The three methods Stratospheric Aerosol Injection, Marine Cloud Brightening, and Cirrus Cloud Thinning, mitigate the global mean temperature rise, however, under our experimental designs, the projected Arctic temperatures are higher than if the same temperature was achieved under emission mitigation. The maximum temperature increase under Cirrus Cloud Thinning and Marine Cloud Brightening is linked to carbon dioxide plant physiological forcing, shifting the system into climatic conditions favouring the development of fires. Under Stratospheric Aerosol Injection, the Arctic land with temperatures permanently below freezing decreased by 7.8% compared to the representative concentration pathway 4.5. This study concludes that these specific radiative forcing geoengineering designs induce less efficient cooling of the Arctic than the global mean and worsen extreme conditions compared to the representative concentration pathway 4.5.
Stratospheric aerosol injection, marine cloud brightening, and cirrus thinning are less effective in cooling the Arctic than the globe and may lead to increased risk of wildfires and permafrost thawing, according to an analysis of global climate model simulations.
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1 University of Zurich, Department of Evolutionary Biology and Environmental Studies, Zurich, Switzerland (GRID:grid.7400.3) (ISNI:0000 0004 1937 0650); University of Zurich, Department of Geography, Zurich, Switzerland (GRID:grid.7400.3) (ISNI:0000 0004 1937 0650)
2 City University of Hong Kong, Low-Carbon and Climate Impact Research Centre, School of Energy and Environment, Hong Kong, China (GRID:grid.35030.35) (ISNI:0000 0004 1792 6846); The Hong Kong University of Science and Technology, Center for Ocean Research in Hong Kong and Macao (CORE), Hong Kong, China (GRID:grid.24515.37) (ISNI:0000 0004 1937 1450)
3 Norwegian University of Science and Technology, Department of Biology, Trondheim, Norway (GRID:grid.5947.f) (ISNI:0000 0001 1516 2393); Bjerknes Centre for Climate Research, NORCE Norwegian Research Institute, Bergen, Norway (GRID:grid.465508.a)
4 Norwegian University of Science and Technology, Industrial Ecology Programme, Department of Energy and Process Engineering, Trondheim, Norway (GRID:grid.5947.f) (ISNI:0000 0001 1516 2393)
5 Bjerknes Centre for Climate Research, NORCE Norwegian Research Institute, Bergen, Norway (GRID:grid.465508.a)
6 Gwangju Institute of Science and Technology, School of Earth Sciences and Environmental Engineering, Gwangju, South Korea (GRID:grid.61221.36) (ISNI:0000 0001 1033 9831)
7 University of Zurich, Department of Evolutionary Biology and Environmental Studies, Zurich, Switzerland (GRID:grid.7400.3) (ISNI:0000 0004 1937 0650)