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| Titel |
Application of statistical downscaling technique for the production of wine grapes (Vitis vinifera L.) in Spain |
| VerfasserIn |
E. Gaitán Fernández, R. García Moreno, M. R. Pino Otín, J. Ribalaygua Batalla |
| Konferenz |
EGU General Assembly 2012
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 14 (2012) |
| Datensatznummer |
250068438
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| Zusammenfassung |
| Climate and soil are two of the most important limiting factors for agricultural production.
Nowadays climate change has been documented in many geographical locations affecting
different cropping systems. The General Circulation Models (GCM) has become important
tools to simulate the more relevant aspects of the climate expected for the XXI century in the
frame of climatic change. These models are able to reproduce the general features of the
atmospheric dynamic but their low resolution (about 200 Km) avoids a proper simulation of
lower scale meteorological effects. Downscaling techniques allow overcoming this problem
by adapting the model outcomes to local scale. In this context, FIC (Fundación
para la Investigación del Clima) has developed a statistical downscaling technique
based on a two step analogue methods. This methodology has been broadly tested
on national and international environments leading to excellent results on future
climate models. In a collaboration project, this statistical downscaling technique was
applied to predict future scenarios for the grape growing systems in Spain. The
application of such model is very important to predict expected climate for the
different growing crops, mainly for grape, where the success of different varieties
are highly related to climate and soil. The model allowed the implementation of
agricultural conservation practices in the crop production, detecting highly sensible
areas to negative impacts produced by any modification of climate in the different
regions, mainly those protected with protected designation of origin, and the definition
of new production areas with optimal edaphoclimatic conditions for the different
varieties. |
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