2019
DOI: 10.1016/j.atmosres.2019.01.018
|View full text |Cite
|
Sign up to set email alerts
|

Combining circulation weather types and daily precipitation modelling to derive climatic precipitation regions in the Pyrenees

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
17
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
5
1
1
1

Relationship

2
6

Authors

Journals

citations
Cited by 35 publications
(17 citation statements)
references
References 44 publications
0
17
0
Order By: Relevance
“…In the present article we applied a PCA to a matrix of a spatial character, known as the S‐mode, in which the points of the grid are variables to be reduced, and the observations are the correlation coefficients between the teleconnection indices and the precipitation series at monthly, seasonal and annual scale. This method enables a climatic regionalisation to be conducted, because it shows the degree of representativeness of each teleconnection index at monthly, seasonal and annual scale, in relation to each new component (Lopez‐Bustins et al ., 2015; Lemus‐Canovas et al ., 2019a). In order to design a regionalisation, we considered the loadings to create similar behaviour categories in the relationship between precipitation and the teleconnections.…”
Section: Database and Methodologymentioning
confidence: 99%
“…In the present article we applied a PCA to a matrix of a spatial character, known as the S‐mode, in which the points of the grid are variables to be reduced, and the observations are the correlation coefficients between the teleconnection indices and the precipitation series at monthly, seasonal and annual scale. This method enables a climatic regionalisation to be conducted, because it shows the degree of representativeness of each teleconnection index at monthly, seasonal and annual scale, in relation to each new component (Lopez‐Bustins et al ., 2015; Lemus‐Canovas et al ., 2019a). In order to design a regionalisation, we considered the loadings to create similar behaviour categories in the relationship between precipitation and the teleconnections.…”
Section: Database and Methodologymentioning
confidence: 99%
“…In this sense, the authors consider that many regions are of no particular interest for the present analysis, because situations of long dry spells and extremely hot temperatures, for instance, display a practically identical synoptic behavior pattern throughout the region. For example, a subtropical ridge produces a dry environment and above-average temperatures throughout the Pyrenees (Lemus-Canovas et al, 2019a). This does not occur when spatial patterns of precipitation are investigated, because spatial variability is much greater.…”
Section: Regionalizationmentioning
confidence: 99%
“…3). This was mainly due to the fact that in these areas the number of days with precipitation (and therefore with a moderate Tx) is very high by default (Lemus-Canovas et al, 2019a). Consequently, although the spells are short, they give rise to an extremely positive thermal anomaly, mainly on the hottest days of the spell (See EM for Summer in Fig.…”
Section: Bias Correction and Evaluationmentioning
confidence: 99%
“…Examples of this approach are widespread in the Pyrenees area. For example, Esteban et al [16] modelled daily mean precipitation in Andorra for different circulation types; similarly, Lemus-Canovas [17] employed statistical regression techniques to perform a synoptic classification focused on SW Europe aimed at mapping the daily mean precipitation of each weather type over the whole Pyrenees. Other examples of this type of approach can be found in different parts of the Iberian Peninsula [18][19][20][21][22].…”
Section: Introductionmentioning
confidence: 99%