Uncovering information in fluctuating CLimate systems: An oppoRtunity for solving climate modeling nodes and assIst local communiTY adaptation measures

Informations projet

CLARITY

N° de convention de subvention: 701785

DOI 10.3030/701785

Projet clôturé

Date de signature de la CE 4 Mars 2016

Date de début 9 Mai 2016

Date de fin 8 Mai 2018

Financé au titre de

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coût total € 180 277,20

Contribution de l’UE € 180 277,20

Coordonné par

UNIVERSITA CA' FOSCARI VENEZIA
Italie

Objectif

A consistent picture of climate variability is pivotal for understanding its evolution. CLARITY intends to apply advanced statistical methods developed in the field of statistical physics to analyze, interpret and incorporate into modelling strategies observed, reconstructed, as well as simulated climate data. To achieve this ambitious goal valuable information from fluctuations in climate records will be uncovered. The obtained results will constitute the input for a Bayesian modelling strategy, aimed then at improving modelling reliability. Once operational, this approach will be applied to a series of climatically relevant issues. On a local scale (city of Venice, Italy), particularly, climate records related to temperature, humidity and the ultraviolet radiation exposure of city’s school populations will be collected and used to obtain projections that can be of assistance to community needs.
CLARITY represents a pilot research that integrates reconstructions, observations, simulations and applications at the local community level. It will extend climate investigations through the application of methods of statistical physics in an academic environment internationally recognized for its expertise in the field of climatology.

Champ scientifique (EuroSciVoc)

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• sciences naturelles › sciences de la Terre et sciences connexes de l'environnement › sciences de l'atmosphère › climatologie › changement climatique

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Mots‑clés

• complex climate
• fluctuation analysis
• Bayesian modelling
• local UVR exposure

Programme(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Thème(s)

• MSCA-IF-2015-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF)

Appel à propositions

H2020-MSCA-IF-2015

Régime de financement

MSCA-IF -

Coordinateur

UNIVERSITA CA' FOSCARI VENEZIA

• Contribution nette de l'UE: € 180 277,20
• Adresse: DORSODURO 3246 ; 30123 Venezia ; Italie
• Région: Nord-Est › Veneto › Venezia
• Type d’activité: Établissements d’enseignement supérieur ou secondaire
• Coût total: € 180 277,20