Increasing the EU's climate ambitions for 2030 and 2050

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The study focuses on the planning phase of nature-based solutions in cities, in which trade-offs have to be made between different options, such as the design, effectiveness, financial contributions from residents or participatory options. Based on the UPSURGE survey and choice experiment, the aim is to assist public participation processes in various countries, help planning teams define priorities and design governance measures which ensure long-term dedication to development plans.

This article gives an overview of the recent advances on the interactive modelling of ice sheet dynamics in Earth System Models, and the implications for reducing the uncertainty of sea-level rise projections, especially when considering multi-centennial timescales of changes or low-likelihood high-impact scenarios.

In this article, we provide an overview of current understanding of the land-to-ocean carbon fluxes. We describe the new conceptual model of the land-to-ocean aquatic continuum (proposed by Regnier et al, 2022, Nature), as well as ongoing work to include this new knowledge in Earth System Models.

The latest ZERO IN report from the CONSTRAIN project dives into the science set out in the recent Intergovernmental Panel on Climate Change assessments. It investigates what our climate future could look like by 2050, depending on whether we take action in line with the Paris Agreement, or decide to follow current national policies and plans which still largely lack the action and ambition needed to stop global warming.

New study on the impacts of wildfire emissions on fine particle air pollution in the western US until the end of the 21st century, under different climate change scenarios.
This work highlights the fact that when committing to a particular level of future warming, we are also committing to a particular level of fine particle air pollution. This has to be taken into account when considering mitigation and adaptation strategies.

EIFFEL H2020 project offers the EO-based community the ground-breaking capacity of exploiting existing GEOSS and external datasets, with minimal new data collection activities. Added-value services interoperable with GEOSS will be designed, using cognitive search and metadata augmentation tools based on Artificial Intelligence (AI), including Natural Language Processing. These tools will leverage advanced cognitive features to extract meaningful information from and enrich GEOSS metadata.

COVID-19 pandemic has led to the worst economic downturn of the last decades mainly due to measures to stop the spread of the virus. This has led to reduction in demand and production capacity. Governments worldwide adopt packages as a response to the COVID-19 crisis, with $3.5 trillion dedicated to climate protections in the agriculture, industry, energy, and transport sectors. By adapting packages that are green, boosts economic growth worldwide triggered by increased low-carbon investment.