Daily rainfall affinity areas in Mediterranean Spain

Romero, R.; Ramis, C.; Guijarro, José Antonio; Sumner, Graham

doi:10.1002/(sici)1097-0088(199904)19:5<557::aid-joc377>3.0.co;2-d

Cited by 28 publications

(31 citation statements)

References 19 publications

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“…This kind of frontier between clusters delineates the location of the Littoral, Pre-Littoral and Transversal ranges, which shelter the rest of the territory (clusters 1 and 2) from Mediterranean advections, and are usually characterized by significant SDRs. This main feature is in agreement with the general patterns of clusters obtained by Romero et al (1999b) for Catalonia, within a study of the whole of Mediterranean Spain. Nevertheless, the reliability of a detailed comparison with our results would be dubious, given that the recording periods are slightly different and, especially, that different areas are studied.…”

Section: The Clustering Processsupporting

confidence: 91%

“…The significant role of the orography was also recognized by Romero et al (1999a), who studied the daily rainfall patterns in the Spanish Mediterranean area, taking into consideration only significantly wet days (>5 mm) and torrential days (>50 mm). Similarly, Romero et al (1999b) also emphasized the relevant role of the orography when defining daily rainfall affinity areas for Mediterranean Spain. Nevertheless, the orography is not the sole factor that builds the clusters.…”

Section: The Clustering Processmentioning

confidence: 99%

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Spatial and temporal variability of the daily rainfall regime in Catalonia (northeastern Spain), 1950–2000

Lana

Martínez

Serra

et al. 2004

Intl Journal of Climatology

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Spatial and temporal patterns in the daily rainfall regime of Catalonia (northeastern Spain) recorded for the 1950-2000 period are analysed from several points of view, including the irregularity of the time series in terms of entropy, the Mann-Kendall test for time trends, a principal component analysis (PCA), an average linkage (AL) clustering algorithm and, finally, a power spectrum analysis, which includes a comparison of white-noise and Markovian red-noise hypotheses. The analyses are based on three monthly variables derived from the amounts recorded on a daily basis: the average daily rainfall and the standard deviation of the daily rainfall for each month, together with the corresponding coefficient of variation. The joint spatial-temporal variability is manifested by the irregularity index, which is characterized by relevant values in all cases and gradients from the north (Pyrenees and Pre-Pyrenees mountain ranges) to the south (Ebro Valley) and to the Mediterranean coast. The interpretation of the factor scores derived from the PCA and of the clusters obtained from the AL algorithm also describes the complex spatial distribution of the daily rainfall regime, given that the effects of atmospheric circulation patterns on rainfall regimes are conditioned by the complex orography of Catalonia and its proximity to the Mediterranean Sea. The factor loadings associated with the PCA also suggest a distinction between hot, cold and mild seasons. Finally, it is worth noting that monthly series are usually accompanied by white background noise and, in a few cases, signs of Markovian behaviour and some significant periodicities, which are generally of less than 10 months and which change from one cluster to another.

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Section: The Clustering Processsupporting

confidence: 91%

Section: The Clustering Processmentioning

confidence: 99%

Spatial and temporal variability of the daily rainfall regime in Catalonia (northeastern Spain), 1950–2000

Lana

Martínez

Serra

et al. 2004

Intl Journal of Climatology

View full text Add to dashboard Cite

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“…The choice of optimal number of clusters was established by the pseudo-F statistic (Calinski & Harabasz, 1974). This statistics assess the among-and within-cluster sum of squares (Romero et al, 1999b). A progressive number of k clusters, from 2 to 30 were tested, and the pseudo-F statistic suggested a five-cluster solution for summer and a seven-cluster solution for winter.…”

Section: Methodsmentioning

confidence: 99%

Climate Change Impacts on Atmospheric Circulation and Daily Precipitation in the Argentine Pampas Region

Penalba¹,

Bettolli²

2011

Climate Change - Geophysical Foundations and Ecological Effects

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“…This technique has not only been used in spatial analyses: Stone (1989) applied these methods to the study of weather types; Green et al (1993) used this method to determine seasonal periods; and Romero et al (1999b) used them to study the types of atmospheric circulation that produce precipitation in the Spanish Mediterranean area. Spatial studies that employ PCA and CA methods to examine precipitation in Spanish Mediterranean regions are those of Sumner and Guijarro (1993) and Romero et al (1999c). In our spatial analysis of torrential rainfall in the Valencia region, we apply the methodology developed by Sumner et al (1995) and Romero et al (1999a) for their spatial analyses of the daily precipitation in Mallorca and in the Spanish Mediterranean regions respectively.…”

Section: Classification Of the Spatial Distribution Of Torrential Raimentioning

confidence: 99%

Classification of daily rainfall patterns in a Mediterranean area with extreme intensity levels: the Valencia region

Peñarrocha

Estrela

Millán

2002

Intl Journal of Climatology

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The objective of this paper is to identify the spatial distribution patterns of heavy rainfall in the Valencia region, Spain. Rainfall in this area reaches one of the highest intensity levels in the Mediterranean, with daily precipitation values above 800 mm. Although high intensities characterize the region's precipitation, there is a zone situated in the south of the Gulf of Valencia that registers exceptionally high daily precipitation intensities.Our spatial analysis is based on two different perspectives and methods. In the first, we studied the most important torrential rain events in the period 1971-95 and obtained a classification based on the geographical distribution of the daily precipitation maxima. In the second, we applied statistical techniques to classify the distribution patterns of torrential rain by using principal components analysis and cluster analysis. This analysis was conducted for the 1981-90 period. The results of both methodologies are similar and reflect the main characteristics and sub-types of the spatial distribution of the daily precipitation patterns. These spatial patterns are directly linked to the action of topographic factors in atmospheric situations of humid easterly flows.

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Daily rainfall affinity areas in Mediterranean Spain

Cited by 28 publications

References 19 publications

Spatial and temporal variability of the daily rainfall regime in Catalonia (northeastern Spain), 1950–2000

Spatial and temporal variability of the daily rainfall regime in Catalonia (northeastern Spain), 1950–2000

Climate Change Impacts on Atmospheric Circulation and Daily Precipitation in the Argentine Pampas Region

Classification of daily rainfall patterns in a Mediterranean area with extreme intensity levels: the Valencia region

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