Climate Resilience and Natural Disasters
Climate Resilience and Natural Disasters
The areas of Climate Resilience and Disaster Management are closely linked at the OGC. On the one hand, it is about how to efficiently use several petabytes of climate data. How can this data be blended with other data to generate action and development guidance? How can climate change be communicated so that the need for change is recognized by all, without relying on the shock effect of disaster scenarios?
Disaster Management is concerned with providing the right data at the right time to the relevant decision-makers. The aim here is to be able to integrate and use all the data required in the event of a disaster as quickly as possible in order to generate the most detailed overview possible of the overall situation.
OGC’s current crop of climate-related projects seek to support FAIR climate services and streamline the value chain that transforms raw data into information. Specifically, as part of the Climate Intelligence (CLINT) project, OGC is developing blueprints for transforming scientific algorithms into climate application packages that can be deployed, regardless of their backend, in the Copernicus Climate Change Service (C3S) Climate Data Store (CDS). More widely, the CLINT project seeks to develop Machine Learning (ML) techniques and algorithms that climate scientists can use to process the large climate datasets required for predicting and identifying the causes of extreme events such as heatwaves, warm nights, droughts, and tropical cyclones.
Focusing on the health impacts of climate change, the CLIMOS (Climate Monitoring and Decision Support Framework for Sand Fly-borne Diseases Detection and Mitigation with COst-benefit and Climate-policy MeasureS) project aims to mitigate the emergence, transmission, and spread of pathogens by sand flies. The project is establishing an Early Warning System and decision support tools for more accurate climate and health models. It will also provide predictions of infection risk and spread, as well as adaptation options. OGC is addressing the interoperability challenges faced when combining health, environmental, Earth observation, and climate model data.