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EGU Public Engagement Grants 2020 projects

EGU Public Engagement Grants: 2020 winners announced

  • EGU news
  • 27 May 2020

The EGU Outreach Committee has named three grant winners this year: Purls of Wisdom, a project in which participants will create yarn-based crafts to help raise local awareness of Earth’s changing climate; Earth Arcade’s Ocean Acidification, an online, research-based game that will highlight the impacts of ocean acidification; and Reclaiming the rocks: ukuthetha ngezifundo zomhlaba ngesiXhosa, a project to translate stories from South Africa’s rich geological history into indigenous languages.

Highlight articles

Natural Hazards and Earth System Sciences

Snow avalanche detection and mapping in multitemporal and multiorbital radar images from TerraSAR-X and Sentinel-1

To assess snow avalanche mapping with radar satellites in Switzerland, we compare 2 m resolution TerraSAR-X images, 10 m resolution Sentinel-1 images, and optical 1.5 m resolution SPOT-6 images. We found that radar satellites provide a valuable option to map at least larger avalanches, though avalanches are mapped only partially. By combining multiple orbits and polarizations from S1, we achieved mapping results of quality almost comparable to single high-resolution TerraSAR-X images.

Earth System Dynamics

The role of prior assumptions in carbon budget calculations

Levels of future temperature change are often used interchangeably with carbon budget allowances in climate policy, a relatively robust relationship on the timescale of this century. However, recent advances in understanding underline that continued warming after net-zero emissions have been achieved cannot be ruled out by observations of warming to date. We consider here how such behavior could be constrained and how policy can be framed in the context of these uncertainties.

Geoscientific Model Development

Towards an objective assessment of climate multi-model ensembles – a casestudy: the Senegalo-Mauritanian upwelling region

The most robust representation of climate is usually obtained by averaging a large number of simulations, thereby cancelling individual model errors. Here, we work towards an objective way of selecting the least biased models over a certain region, based on physical parameters. This statistical method based on a neural classifier and multi-correspondence analysis is illustrated here for the Senegalo-Mauritanian region, but it could potentially be developed for any other region or process.

Atmospheric Chemistry and Physics

Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery

The Montreal Protocol was agreed in 1987 to limit and then stop the production of man-made CFCs, which destroy stratospheric ozone. As a result, the atmospheric abundances of CFCs are now declining in the atmosphere. However, the atmospheric abundance of CFC-11 is not declining as expected under complete compliance with the Montreal Protocol. Using the UM-UKCA chemistry–climate model, we explore the impact of future unregulated production of CFC-11 on ozone recovery.

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