Objective When provided in a climate-services context, seasonal climate forecasts can enable a more effective adaptation to climate variability and change, offering an under-exploited opportunity to minimise the agricultural impacts of adverse climate conditions. However, the development of seasonal prediction systems of climate-driven impacts on agriculture is still largely in the early stages, especially on a global scale. CLIM4CROP is designed as a multidisciplinary project aimed at exploring how to best exploit seasonal forecasts for crop management decision making on a global scale. This goal will be achieved through three specific supporting objectives: a) characterising the uncertainties in global datasets of climate observations covering the last three decades and providing data in near-real time; b) understanding the role of climate as underlying mechanisms driving crop yields, and thereby developing statistical models linking climate and yields; c) exploring the seasonal predictability of crop yields with the above-mentioned developed models and implementing a model suite operationally using the data available in near-real time. These objectives will be addressed by making use of the latest advances in climate information, including the most complete and up-to-date sets of seasonal forecast systems. The expected outcomes of this project are an improved understanding of the interaction between climate and crop yields, and new insights allowing more efficient crop management. This could prove useful to policy-makers and commercial entities in their decision-making processes. To this end, the transfer of knowledge to impact users is envisaged. Fields of science medical and health scienceshealth sciencesnutritionsocial sciencessociologygovernancecrisis managementagricultural sciencesagriculture, forestry, and fisheriesagriculturenatural sciencesmathematicsapplied mathematicsstatistics and probabilitynatural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes Keywords climate monitoring crop yields seasonal forecasts 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-2016 - Individual Fellowships Call for proposal H2020-MSCA-IF-2016 See other projects for this call Funding Scheme MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF) Coordinator BARCELONA SUPERCOMPUTING CENTER CENTRO NACIONAL DE SUPERCOMPUTACION Net EU contribution € 170 121,60 Address Calle jordi girona 31 08034 Barcelona Spain See on map Region Este Cataluña Barcelona Activity type Research Organisations Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00
