Project description
Time for improved data to defend ourselves against climate-related risks
Climate extremes like scorching heatwaves and devastating floods are taking a toll on our planet, disrupting human activities and wreaking havoc on fragile ecosystems. Yet our ability to fully comprehend and combat these threats is hindered by the limitations of our current natural hazard databases. These databases lack completeness, are hard to keep updated and often lack validation against climate data, leaving us ill-equipped to tackle the multifaceted impacts of climate extremes. Funded by the European Research Council, the ICE-MOT project aims to bridge these gaps by creating a cutting-edge impact database for extreme climate events. Using text mining and state-of-the-art climate data, ICE-MOT will focus initially on wintertime cold spells in North America, and windstorms and heavy precipitation in Europe.
Objective
Climate extremes have multifarious detrimental impacts on human activities and ecosystems. Gaining a detailed understanding of these impacts is essential for disaster risk reduction and for building resilience to extremes in a changing climate. However, current freely-accessible natural hazard databases present limitations in completeness, updateability, validation against climate data and indirect impact information. This hinders scientific and practical progress.
In ICE-MOT, I aim to build a state-of-the-art impact database for extreme climate events, which overcomes the above key limitations. I will specifically combine text-mining of freely available online sources, with the use of state-of-the-art climate data. To ensure feasibility, I will initially focus on English-language texts and on wintertime cold spells in North America and windstorms and heavy precipitation in Europe – extreme events which I have studied extensively in my ongoing ERC project.
ICE-MOT builds upon the database of climate extremes developed within my ongoing ERC project. It further leverages the experience of my research group in data-driven and machine learning analyses for climate science. I will use this interdisciplinary knowledge base to provide standardised, complete and automatically updateable spatio-temporal impact information, including indirect and/or cascading impacts, and quantify the climate conditions associated with the recorded impacts. Moreover, the database’s automated data extraction and processing pipeline will make it easily scalable to multiple regions and climate extremes.
This effort is timely: the recent EU strategy on adaptation to climate change explicitly seeks to “gather more and better data on climate-related risks and losses” as a key adaptation tool. Moreover, the climate extremes data gathered in my ongoing ERC project provides a perfect basis to test the innovative idea underlying the ICE-MOT database, an opportunity which should be rapidly exploited.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences databases
- natural sciences earth and related environmental sciences environmental sciences sustainability sciences
- engineering and technology environmental engineering ecosystem-based management climate change adaptation
- natural sciences biological sciences ecology ecosystems
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2022-POC2
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
751 05 Uppsala
Sweden
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.