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Mesoscale model to select the ideal location for new vineyard plantations in the Rioja qualified denomination of origin.

Martínez-Cámara E, Blanco J, Jiménez E, Saenz-Díez JC, Rioja J - ScientificWorldJournal (2014)

Bottom Line: This research is focused on two of these factors: temperature and irradiation.The objective of this paper is to be able to recognize these factors, so as to ensure a proper decision criterion when selecting the best location for new vineyard plantations.To achieve this objective, a mesoscale model MM5 is used, and its performance is assessed and compared using different parameters, from the grid resolution to the physical parameterization of the model.

View Article: PubMed Central - PubMed

Affiliation: Department of Mechanical Engineering, University of La Rioja, 26004 Logrono, Spain.

ABSTRACT
La Rioja is the region where the top rated wines from Spain come from and also the origin of one of the most prestigious wines in the world. It is worldwide recognized, not only for the quality of the vine, but also for the many factors involved in the process that are controllable by the farmer, such as fertilizers, irrigation, etc. Likewise, there are other key factors, which cannot be controlled that play, however, a crucial role in the quality of the wine, such as temperature, radiation, humidity, and rainfall. This research is focused on two of these factors: temperature and irradiation. The objective of this paper is to be able to recognize these factors, so as to ensure a proper decision criterion when selecting the best location for new vineyard plantations. To achieve this objective, a mesoscale model MM5 is used, and its performance is assessed and compared using different parameters, from the grid resolution to the physical parameterization of the model. Finally, the study evaluates the impact of the different parameterizations and options for the simulation of meteorological variables particularly relevant when choosing new vineyard sites (rainfall frequency, temperature, and sun exposure).

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(a) Root mean square error (RMSE) obtained by the application of the model in Logroño. (b) Root means square error (RMSE) obtained from the application of the model in Ventrosa.
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fig6: (a) Root mean square error (RMSE) obtained by the application of the model in Logroño. (b) Root means square error (RMSE) obtained from the application of the model in Ventrosa.

Mentions: The root mean square error (RMSE) of the temperature decreases in winter with respect to summer in most of the simulations (Table 2(a) and Figure 6(a)). The simulated temperature at 1 km has a RMSE higher than the corresponding RMSE to 3 km and 9 km in summer, slightly improving in winter. It may suggest that there is not a significant improvement in terms of soil temperature in the surface despite the improvement in the meshing model. Gego et al. [41] analyzed the improvement in temperature simulations at 2 m above the ground, reducing the size of the meshing from 12 to 4 km, which leads to overall improvement at noon and early afternoon hours, but with a slight worsening in the first and last hours of the morning. Mass et al. [44] also found slight improvements when reducing the meshing from 36 to 12 km, but very little improvement when reducing from 12 to 4 km.


Mesoscale model to select the ideal location for new vineyard plantations in the Rioja qualified denomination of origin.

Martínez-Cámara E, Blanco J, Jiménez E, Saenz-Díez JC, Rioja J - ScientificWorldJournal (2014)

(a) Root mean square error (RMSE) obtained by the application of the model in Logroño. (b) Root means square error (RMSE) obtained from the application of the model in Ventrosa.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4214118&req=5

fig6: (a) Root mean square error (RMSE) obtained by the application of the model in Logroño. (b) Root means square error (RMSE) obtained from the application of the model in Ventrosa.
Mentions: The root mean square error (RMSE) of the temperature decreases in winter with respect to summer in most of the simulations (Table 2(a) and Figure 6(a)). The simulated temperature at 1 km has a RMSE higher than the corresponding RMSE to 3 km and 9 km in summer, slightly improving in winter. It may suggest that there is not a significant improvement in terms of soil temperature in the surface despite the improvement in the meshing model. Gego et al. [41] analyzed the improvement in temperature simulations at 2 m above the ground, reducing the size of the meshing from 12 to 4 km, which leads to overall improvement at noon and early afternoon hours, but with a slight worsening in the first and last hours of the morning. Mass et al. [44] also found slight improvements when reducing the meshing from 36 to 12 km, but very little improvement when reducing from 12 to 4 km.

Bottom Line: This research is focused on two of these factors: temperature and irradiation.The objective of this paper is to be able to recognize these factors, so as to ensure a proper decision criterion when selecting the best location for new vineyard plantations.To achieve this objective, a mesoscale model MM5 is used, and its performance is assessed and compared using different parameters, from the grid resolution to the physical parameterization of the model.

View Article: PubMed Central - PubMed

Affiliation: Department of Mechanical Engineering, University of La Rioja, 26004 Logrono, Spain.

ABSTRACT
La Rioja is the region where the top rated wines from Spain come from and also the origin of one of the most prestigious wines in the world. It is worldwide recognized, not only for the quality of the vine, but also for the many factors involved in the process that are controllable by the farmer, such as fertilizers, irrigation, etc. Likewise, there are other key factors, which cannot be controlled that play, however, a crucial role in the quality of the wine, such as temperature, radiation, humidity, and rainfall. This research is focused on two of these factors: temperature and irradiation. The objective of this paper is to be able to recognize these factors, so as to ensure a proper decision criterion when selecting the best location for new vineyard plantations. To achieve this objective, a mesoscale model MM5 is used, and its performance is assessed and compared using different parameters, from the grid resolution to the physical parameterization of the model. Finally, the study evaluates the impact of the different parameterizations and options for the simulation of meteorological variables particularly relevant when choosing new vineyard sites (rainfall frequency, temperature, and sun exposure).

Show MeSH
Related in: MedlinePlus