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

Project Information

CLARITY

Grant agreement ID: 701785

DOI 10.3030/701785

Project closed

EC signature date 4 March 2016

Start date 9 May 2016

End date 8 May 2018

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost € 180 277,20

EU contribution € 180 277,20

Coordinated by

UNIVERSITA CA' FOSCARI VENEZIA
Italy

Objective

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.

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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.

• natural sciences › earth and related environmental sciences › atmospheric sciences › climatology › climatic changes

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Keywords

• 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

Topic(s)

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

Call for proposal

H2020-MSCA-IF-2015

Funding Scheme

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

Coordinator

UNIVERSITA CA' FOSCARI VENEZIA

• Net EU contribution: € 180 277,20
• Address: DORSODURO 3246 ; 30123 Venezia ; Italy
• Region: Nord-Est › Veneto › Venezia
• Activity type: Higher or Secondary Education Establishments
• Total cost: € 180 277,20