CLImate INTelligence: Extreme events detection, attribution and adaptation design using machine learning
CLImate INTelligence: Extreme events detection, attribution and adaptation design using machine learning is a science project.
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Key Facts
- Start time: July 1, 2021[1]
- End time: October 31, 2025[2]
- Participant: Extreme events detection, attribution and adaptation design using machine learning — participant (P710): Polytechnic University of Milan[3], eu_cordis_org:999419422[4], eu_cordis_org:999507401[5], Extreme events detection, attribution and adaptation design using machine learning — participant (P710): Swedish Meteorological and Hydrological Institute[6], eu_cordis_org:988470062[7], eu_cordis_org:937657194[8], eu_cordis_org:920209028[9], eu_cordis_org:998692310[10], eu_cordis_org:951080248[11], eu_cordis_org:999916741[12], Extreme events detection, attribution and adaptation design using machine learning — participant (P710): University of Alcalá[13], Extreme events detection, attribution and adaptation design using machine learning — participant (P710): University of Giessen[14], eu_cordis_org:899555206[15], Extreme events detection, attribution and adaptation design using machine learning — participant (P710): Complutense University of Madrid[16]
- Short name: CLINT[17]
- Budget: 6067719.98 euro[18]
- Funding scheme: Extreme events detection, attribution and adaptation design using machine learning — funding scheme (P6195): Horizon 2020[19]