"Climate change poses an unprecedented threat to humanity, one that appears increasingly likely to reduce global standards of living dramatically within our lifetime, and cause untold damage in the longer term. And, because addressing such a daunting planetary challenge requires radical approaches, there have been wide-ranging discussions about what the world must urgently do to limit the rise in global temperature to less than 1.5°C above pre-industrial levels."

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"Geoengineering technologies are not yet deployable globally, but support for them is advancing fast, thanks to backing by powerful advocates eager to start experiments. But no silver bullet for climate change exists, and we must not abandon proven methods for the sake of a promise that one will be found."

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Irvine, P.; Emanuel, K.; He, J.; Horowitz, L.; Vecchi, G.; Keith, D. (2019): Halving warming with idealized solar geoengineering moderates key climate hazards. In: Nature Climate change. DOI: 10.1038/s41558-019-0398-8.

"Solar geoengineering (SG) has the potential to restore average surface temperatures by increasing planetary albedo, but this could reduce precipitation. Thus, although SG might reduce globally aggregated risks, it may increase climate risks for some regions. Here, using the high-resolution forecast-oriented low ocean resolution (HiFLOR) model—which resolves tropical cyclones and has an improved representation of present-day precipitation extremes^—alongside 12 models from the Geoengineering Model Intercomparison Project (GeoMIP), we analyse the fraction of locations that see their local climate change exacerbated or moderated by SG. Rather than restoring temperatures, we assume that SG is applied to halve the warming produced by doubling CO₂ (half-SG)."

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Deadline: 1. April 2019

"We are now inviting proposals for sessions related to the theme of ‘Securing sustainable futures’. Session proposals can focus on specific methods or approaches and how these are or could be used across different application domains, or instead focus on the treatment of deep uncertainty within a specific domain or context."

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