Better predictions of ocean waves conditions are essential for a handful of industries that define its operations based on the outcome of these analysis. Almost all engineering applications that happens in the ocean, from transportation to renewable energies, going across offshore platforms and alerts of catastrophic events, not to mention geosciences research benefits from an accurate description of sea state.
In the past two decades, cities in the Global North and South have invested in urban greening projects such as parks, gardens, greenways, or green climate resilient infrastructure to address a variety of environmental, health, economic, and social challenges. Such interventions are often accompanied by large scale real estate projects.
Sustainable development and climate mitigation and adaptation in a country the size of Brazil presents enormous challenges regarding the environmental, social, and productivity sectors. Climate risk is based on the characterization of the social and natural systems linked to vulnerability and exposure to a given hazard.
The world is committed to the temperature target in the Paris Agreement to keep global warming well below 2oC, aiming for 1.5oC. This will require rapid reductions of emissions of GHGs, leading to net-zero emissions by mid-century. The seminar will explore the economics of such a transition to low- or zero-carbon energy sources, in respect of the investments that will be required and the resulting macroeconomic impacts.
The need for adaptation is unanimously recognized as urgent and becoming universal (IPCC, AR6, WGII). And, while the IPCC AR6 WGII highlights that adaptation has been increasing across all regions since AR5 (very high confidence) (IPCC, AR6, WGII, SPM: 23), it underlines at the same time that there is increasing evidence of maladaptation (high confidence) (IPCC, AR6, WGII, SPM: 30).
This seminar presents several tasks that are currently being developed within the framework of the H2020 SMARTLAGOON Project. The main aim of this project is the development of a digital twin of the Mar Menor that can adequately represent the natural processes that occur both in the Mar Menor and in its drainage watershed.
I will provide a few examples of research activities sharing the same aim of extracting knowledge from climate modelling to inform and orient human activities, such as planning and investments. The examples have in common a spatially explicit approach and they adopt vaious sorts of data processing and modelling: from simple formulas of map algebra, to multi-criteria analysis, or agent based modelling.