Chapter 3 Relations between variability in the Mediterranean region and mid-latitude variability

Trigo, Ricardo M.; Xoplaki, Elena; Zorita, Eduardo; Luterbacher, Jürg; Krichak, S. O.; Alpert, Pinhas; Jacobeit, Jucundus; Sáenz, Jon; Fernández, Jesús Fernández; González-Rouco, J. Fidel; Herrera, Ricardo García; Rodó, Xavier; Brunetti, Michele; Nanni, T.; Maugeri, Maurizio; Türke, Mura; Gimeno, Luis; Ribera, Pedro; Brunet, Manola; Trigo, Isabel F.; Crépon, Michel; Mariotti, Annarita

doi:10.1016/s1571-9197(06)80006-6

Cited by 108 publications

(112 citation statements)

References 113 publications

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“…Mariotti et al (2002) showed that during the last 50 years of the 20th century, average winter precipitation of the Mediterranean decreased by about 20%, with the decrease mostly occurring during the late 1970s to early 1990s. This implies a similar increase in the Mediterranean atmospheric water deficit with potentially important impacts on the Mediterranean Sea circulation (Trigo et al, 2006). Xoplaki et al (2004) showed monthly time evolution of the spatially averaged precipitation anomalies both for the instrumental data of about 300 stations and the NCEP/NCAR re-analysis data.…”

Section: Background Of the Mediterranean Precipitation Variabilitymentioning

confidence: 71%

“…On the other hand, our new results have clearly revealed that decreasing trends in winter precipitation totals and increasing trends in spring and summer totals become stronger and more extensive with respect to both statistical significance and spatial coherence, respectively, compared with previous results of Türkeş (1996,1998,1999). (4) Both the observed decreasing trends in the Mediterranean Basin and Turkey's precipitation in winter (Türkeş, 1996(Türkeş, , 1998(Türkeş, , 2003Türkeş and Erlat, 2005;Trigo et al, 2006), and the rising trend in frequency for the occurrence of low intensity precipitation events (Koç andİrdem, 2005) in Turkey are the most substantial points in terms of the precipitation changes and variability. These have also been indicating increased drying and desertification in the western and southern regions of Turkey, characterized generally by the Mediterranean climate.…”

Section: Discussionmentioning

confidence: 95%

“…Folland et al, 2001;New et al, 2001;Trigo et al, 2006). During this period of time, particularly after the early 1970s, some marked and long-term changes in precipitation of Turkey occurred in addition to the wellknown characteristic seasonal and year-to-year variability.…”

Section: Introductionmentioning

confidence: 95%

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Spatiotemporal variability of precipitation total series over Turkey

Türkeş

Koç

Sarış

2008

Intl Journal of Climatology

160

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Long-term changes and trends in the series of monthly, seasonal and annual precipitation totals of 97 stations in Turkey were analysed by considering their spatial and temporal characteristics. Secular trends in precipitation series were examined with the Mann-Kendall rank correlation test for the general period 1930-2002, whereas spatial variabilities of, and relationships between, the precipitation series at 86 of these stations were investigated by the principal component analysis (PCA) for the period 1953-2002 when the length of data is at its best for the stations subjected to the PCA. Major findings of the paper can be summarized as follows: (1) First principal component (PC1) generally describes climatology of the precipitation totals in Turkey that is closely governed by the large-scale and/or synoptic scale atmospheric features (i.e. surface and upper air pressure and wind systems). (2) In winter, it is very likely that the greater PC1 loadings over the western and south-western parts of Turkey characterized mainly with the Mediterranean rainfall regimes indicate influence of the large-scale atmospheric circulation and associated weather patterns. However, smaller PC1 loadings over the north-eastern and eastern parts of Turkey are very likely related to the influence of the northerly mid-latitude cyclones, and the northerly and easterly circulations linked with the Eastern Europe and the Siberian originated high pressures on spatial variations of winter precipitation. (3) As for the long-term temporal variability, it was detected that there is an apparent decreasing trend in the winter precipitation totals of Turkey, whereas a general increasing trend is dominant in the precipitation totals of spring, summer and autumn seasons. (4) Observed decreasing trends are the strongest over the Mediterranean and the Mediterranean Transition rainfall regime regions. (5) Strong decreasing trends are also mostly found in winter months of the year, while apparent increasing trends show up at some stations in the months of April, August and October.

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Section: Background Of the Mediterranean Precipitation Variabilitymentioning

confidence: 71%

Section: Discussionmentioning

confidence: 95%

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Spatiotemporal variability of precipitation total series over Turkey

Türkeş

Koç

Sarış

2008

Intl Journal of Climatology

160

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“…Due to these geographical properties, its climate has a very complex spatio-temporal feature [11]. Indeed, it is influenced by both the subtropical climate and the climate of mid-latitude systems [12,13]. The spatial distribution of precipitation is characterized by a very marked NorthSouth gradient and a very low East-West gradient.…”

Section: A Study Regionmentioning

confidence: 99%

Image Segmentation Method for Identifying Convective and Stratiform Rain using MSG SEVIRI Data

Sehad¹,

Lazri²,

Ameur³

et al. 2014

IJIGSP

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Abstract-This paper provides a new method for the classification of rainfall areas in convective and stratiform rain using MSG/SEVIRI (Spinning Enhanced Visible and Infrared) data. The proposed approach is based on spectral and temporal properties of clouds. The spectral parameters used are: brightness temperature (BT) and brightness temperature differences (BTDs), and the temporal parameter (RCT 10.8 ) is the rate of change of (BT) in the 10.8µm channel over two consecutive images. The developed rain area classification technique (RACT-DN) is based on two multilayer perceptron neural networks (MLP-D for daytime and MLP-N for nighttime) which relies on the correlation of satellite data with convective and stratiform rain. The two algorithms (MLP-D and MLP-N) are trained using as reference data from ground meteorological radar over northern Algeria. The results show that RACT-DN classifier gives accurate discrimination between convective and stratiform areas during daytime and nighttime.

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“…This is produced by steep morphological and complicated land-sea patterns (see Lionello et al, 2006 for a review), and by its location in a transitional region from the mid-latitude mild and wet climate in the north to the tropical hot and dry climate in the south. Therefore, Mediterranean Winter precipitation is affected by mid-latitude regimes, such as the North Atlantic Oscillation (NAO) and the East Atlantic (EA) pattern (Trigo et al, 2006), and by tropical phenomena like El Niño Southern Oscillation (ENSO). Mediterranean Summer precipitation has been connected with both the Asian and the African monsoon and with strong geopotential blocking anomalies over central Europe .…”

Section: Introductionmentioning

confidence: 99%

Climate change assessment for Mediterranean agricultural areas by statistical downscaling

Palatella¹,

Miglietta²,

Paradisi³

et al. 2010

Nat. Hazards Earth Syst. Sci.

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Abstract. In this paper we produce projections of seasonal precipitation for four Mediterranean areas: Apulia region (Italy), Ebro river basin (Spain), Po valley (Italy) and Antalya province (Turkey). We performed the statistical downscaling using Canonical Correlation Analysis (CCA) in two versions: in one case Principal Component Analysis (PCA) filter is applied only to predictor and in the other to both predictor and predictand. After performing a validation test, CCA after PCA filter on both predictor and predictand has been chosen. Sea level pressure (SLP) is used as predictor. Downscaling has been carried out for the scenarios A2 and B2 on the basis of three GCM's: the CCCma-GCM2, the Csiro-MK2 and HadCM3. Three consecutive 30-year periods have been considered. For Summer precipitation in Apulia region we also use the 500 hPa temperature (T500) as predictor, obtaining comparable results. Results show different climate change signals in the four areas and confirm the need of an analysis that is capable of resolving internal differences within the Mediterranean region. The most robust signal is the reduction of Summer precipitation in the Ebro river basin. Other significative results are the increase of precipitation over Apulia in Summer, the reduction over the Po-valley in Spring and Autumn and the increase over the Antalya province in Summer and Autumn.

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Chapter 3 Relations between variability in the Mediterranean region and mid-latitude variability

Cited by 108 publications

References 113 publications

Spatiotemporal variability of precipitation total series over Turkey

Spatiotemporal variability of precipitation total series over Turkey

Image Segmentation Method for Identifying Convective and Stratiform Rain using MSG SEVIRI Data

Climate change assessment for Mediterranean agricultural areas by statistical downscaling

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