Monitoring climate related risk and opportunities for the wine sector: the MED-GOLD pilot service
Creators
- Alessandro Dell'Aquila1
- António Graça2
- Marta Teixeira2
- Natacha Fontes2
- Nube Gonzalez-Reviriego3
- Raul Marcos-Matamoros3
- Chihchung Chou3
- Marta Terrado3
- Christos Giannakopoulos4
- Konstantinos V. Varotsos4
- Federico Caboni5
- Riccardo Locci5
- Martina Nanu5
- Sara Porru5
- Giulia Argiolas5
- Marta Bruno Soares6
- Michael Sanderson7
- 1. ENEA
- 2. Sogrape Vinhos
- 3. Barcelona Supercomputing Center
- 4. National Observatory of Athens
- 5. LUTECH
- 6. University of Leeds
- 7. Met Office
Description
MED-GOLD was a 54-months research and innovation project, whose main aim was to co-develop climate services for three staples of the Mediterranean food system, namely grapes, olives and durum wheat. This paper describes the methodology adopted for the co-development of the pilot climate service for the wine sector, focusing on the Douro Wine Region in northern Portugal.
In the first step, the MED-GOLD Champion SOGRAPE identified key decisions and users’ needs for the wine sector in the Douro region by involving managers from their own vineyards in that region. From this information, the relevant bioclimatic indicators (and associated essential climate variables) were selected. Afterwards, two compound risk indices, the Sanitary and Heat Risk indices, were introduced as a combination of some of the aforementioned bioclimatic indicators. This methodological work was validated against the empirical climate characterization for the region of interest, of several ‘bad’ and ‘good’ years chosen by users according to their recollections of grape and wine production outcomes, namely quality and yields. In this paper, the overall strategy for selection of these years is presented. The components of the service based on historical climate, seasonal predictions and longer-term climate projections are described along with the visual interface developed: the MED-GOLD Dashboard, an interactive tool that displays detailed historical climate data, seasonal predictions and climate projections. The Dashboard consists of an ICT platform with a map-based user-focused front end to aid easy access to and manipulation of the data. The Dashboard was iteratively co-designed with the users to ensure their needs were me
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Dellaquila_et al_2022.pdf
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