The overall objective of ALARM (“multi-hAzard monitoring and earLy wARning systeM” (ALARM) is to develop a prototype global multi-hazard monitoring and Early Warning System (EWS). A global multi-hazard monitoring means near-real time (NRT) and continuous global Earth observations from satellite, with the objective to generate prompt alerts of natural hazards affecting ATM and to provide information for enhancing situational awareness and providing resilience in crisis. NRT data (with delay of delivery from 10 min, to less than 4h) and tailored products from ground-based and satellite systems, will be used to feed models capable of detecting (creation of alert products) and predicting (nowcasting/forecasting) the risk/displacement of:
• particles in suspension and gas derived from natural hazards (volcanic ash and SO2, dust clouds from sandstorms, and smoke from forest fire);
• severe weather situations such as deep convection and extreme weather;
• space weather regarding exposure to increased levels of radiation during flight;
• environmental hotspots potentially contributing to global warming in a large extent.
ALARM EWS plans to provide alert information for the stakeholders about the threat to aviation in three different manners: 1) early warning (geolocation, altitude and level of severity -quantification if available- of the observed hazard); 2) for some cases nowcasting [up to 2h] and 3) forecasting [from 2h to 48h] of hazard evolution at different flight levels. The consortium will analyse the requirements for its inclusion in the yellow SWIM profile.
Specifically, the aim is to enhance situational awareness of all stakeholders in case of multiple hazard crisis by facilitating the transfer of required relevant information to end-users, presenting such information in a user-friendly manner to ATM stakeholders. In summary, anticipating severe hazards and fostering better decision-making.
Field of science
- /natural sciences/earth and related environmental sciences/physical geography/natural disaster
Call for proposal
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Funding SchemeSESAR-RIA - Research and Innovation action
CB3 0DU Cambridge