Links between teleconnection patterns and mean temperature in Spain

Ríos-Cornejo, David; Penas, Ángel; Álvarez-Esteban, Ramón; Río, Sara del

doi:10.1007/s00704-014-1256-2

Cited by 35 publications

(32 citation statements)

References 75 publications

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“…Peninsula López-Bustins et al, 2008; Gonzalez-Hidalgo et al, 2009), 85 being also used in other regional climatic applications (Azorín-Molina and Lopez-Bustins, 2008; 86 Sánchez-Lorenzo et al, 2009;Vicente-Serrano et al, 2009;Ouachani et al, 2013; El Kenawy et 87 al., 2013;Beranová and Kyselý, 2015;Ríos-Cornejo et al, 2015). (Figure 1b), strongly suggests that this decreasing tendency could be mainly 107 linked to the behaviour of WeMOi at spring and summer seasons.…”

Section: The Monthly Western Mediterranean Oscillation Index Wemoi 82mentioning

confidence: 87%

“…The WeMOi was proposed by Martín-Vide and López-Bustins (2006) to detect atmospheric circulation patterns related to rainfall shortage or excess affecting the eastern Iberian Peninsula Martín-Vide et al, 2008;Gonzalez-Hidalgo et al, 2009), being also used in other regional climatic applications (Azorin-Molina and Lopez-Bustins, 2008;Sánchez-Lorenzo et al, 2009;Vicente-Serrano et al, 2009;El Kenawy et al, 2013;Ouachani et al, 2013;Beranová and Kyselý, 2015;Ríos-Cornejo et al, 2015). The WeMOi is defined as the difference between the normalized monthly barometric series at San Fernando (Spain) (36 ∘ 17 ′ N, 06 ∘ 07 ′ W) and the normalized monthly barometric series at Padova (Italy) (45 ∘ 24 ′ N, 11 ∘ 24 ′ E), with average and standard deviation being derived from the 1961-1990 period.…”

Section: Introductionmentioning

confidence: 99%

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Complexity and predictability of the monthly Western Mediterranean Oscillation index

Lana

Burgueño

Martínez

et al. 2015

Intl Journal of Climatology

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19The complexity, predictability and predictive instability of the Western Mediterranean 20 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 The contents of the paper include a description of the WeMOi, its cumulative distribution 72 (Section 2), monofractal properties (Section 3) and multifractal characteristics derived from 73 the multifractal detrended fluctuaction analysis, MF-DFA, which is also succinctly described 74 (Section 4). A comparison of the mono-and multifractal properties for the WeMO, NAO and 75 AMO indices, and the validity of fGn series to simulate the WeMOi are presented in Section 5. 76Section 6 introduces results derived from the ARIMA process and the Conclusions Section 77 outlines the main WeMOi fractal features and reviews the autoregressive prediction results. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 P e e r R e v i e w O n l y The monthly Western Mediterranean Oscillation index, WeMOi 82The WeMOi was proposed by Martín-Vide and López-Bustins (2006) to detect atmospheric 83 circulation patterns related to rainfall shortage or excess affecting the eastern Iberian 84Peninsula López-Bustins et al., 2008; Gonzalez-Hidalgo et al., 2009), 85 being also used in other regional climatic applications (Azorín-Molina and Lopez-Bustins, 2008; 86 Sánchez-Lorenzo et al., 2009;Vicente-Serrano et al., 2009;Ouachani et al., 2013; El Kenawy et 87 al., 2013;Beranová and Kyselý, 2015;Ríos-Cornejo et al., 2015). (Figure 1b), strongly suggests that this decreasing tendency could be mainly 107 linked to the behaviour of WeMOi at spring and summer seasons. The cumulative distribution 108 of WeMOi (Figure 2) is Gaussian, the observations being kept within the 95% confidence bands 109 derived from the Kolmogorov-Smirnov test (Benjamin and Cornell, 1970;Press et al., 1992). 110 Figure 3 represents WeMOi for several return periods, given in months, compared with 111 theoretic return values for a Gaussian distribution. Empiric values are also quite well described 112 by a logarithmic law, by taking as argument the return period (months). Taking into account 113 the symmetry of the Gaussian distribution, similar results would be obtained for negative 114 WeMOi. 115 116On the other hand, it is well known that the Mediterranean climate is submitted to the NAO 117 (Trigo et al., 2002;Lionello et al., 2006; López-Moreno et al., 2011) region, NAO plays a significant role on decadal variance in precipitation, especially...

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Section: The Monthly Western Mediterranean Oscillation Index Wemoi 82mentioning

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Complexity and predictability of the monthly Western Mediterranean Oscillation index

Lana

Burgueño

Martínez

et al. 2015

Intl Journal of Climatology

View full text Add to dashboard Cite

show abstract

“…In contrast, the NAO leads to a characteristic temperature dipole pattern in the basin, as documented for the last decades. During NAO+ conditions the Western Mediterranean is warm (and dry), while large parts of the Central and Eastern Mediterranean are cold (Ben-Gai et al, 2001;Jalali et al, 2018;Ríos-Cornejo et al, 2015;Saaroni et al, 2010;Skliris et al, 2012;Wanner et al, 2001).…”

Section: Climate Driversmentioning

confidence: 99%

The Medieval Climate Anomaly in the Mediterranean Region

Lüning¹,

Schulte

Garcés‐Pastor

et al. 2019

Paleoceanog and Paleoclimatol

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The Medieval Climate Anomaly (MCA) is a preindustrial phase of pronounced natural climate variability with a core period from 1000 to 1200 CE. The paper presents a synthesis that integrates palaeotemperature records from the Greater Mediterranean Region encompassing the past 1,500 years based on multiproxy data from 79 published land and marine sites. MCA warming dominated the Western Mediterranean (Iberia, NW Africa) as well as the northern land areas of the Central and Eastern Mediterranean region. MCA cooling prevailed in the Canary Current Upwelling System, southern Levant, and some sea areas of the Central and Eastern Mediterranean. Previous palaeoreconstructions suggest persistent positive Atlantic Multidecadal Oscillation (AMO+) and North Atlantic Oscillation (NAO+) conditions during the MCA, while the Little Ice Age was dominated by an AMO− and NAO− regime. During the past 150 years, AMO+ conditions are typically associated with warming episodes in the Mediterranean area. A similar relationship appears to have also been established during the MCA as the majority of all Mediterranean land sites experienced warm climate conditions. In contrast, the NAO typically leads to a characteristic west‐east temperature dipole pattern in the basin, as documented for the last decades. During NAO+ conditions the Western Mediterranean is generally warm (and dry), while large parts of the Central and Eastern Mediterranean are cold. Similar trends seem to have been developed during the MCA when the NAO+ regime led to consistent warming in the Western Mediterranean, while a significant number of sites with MCA cooling existed in the Central and Eastern Mediterranean.

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“…Studies have shown that changes in North Atlantic Oscillation (NAO) have exerted strong influence on Northern Hemisphere (NH) temperatures in recent decades (e.g. Ríos-Cornejo et al, 2015). Thus, in addition to the analysis of trends in the indices, the present study also examines the relationship between NAO and extreme temperatures in Nigeria, because there are considerable decadal variability in absolute extreme indices.…”

Section: Introductionmentioning

confidence: 97%

Trends and variability in absolute indices of temperature extremes over Nigeria: linkage with NAO

Abatan

Abiodun

Gutowski

et al. 2017

Intl Journal of Climatology

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The present study examines trends in extreme temperature absolute indices [warmest day (TXx), coldest day (TXn), warmest night (TNx) and coldest night (TNn)] using the newly homogenized daily minimum and maximum temperature series from 21 stations in Nigeria for the period 1971-2012. The indices provide an understanding of the characteristics of changing temperature, in light of the present anthropogenic global warming. Trends in the indices and the statistical significance are obtained using the modified Mann-Kendall test in the R-package. The results show that many of the stations have significant increasing trends in the absolute indices, with the warming most pronounced in Southern Nigeria. Averaged over the country, the TXx, TXn, TNx and TNn have absolute warming trends of 0.59, 0.17, 0.67and 0.97 ∘ C, respectively, for the 42 years since 1971. The warming rate is highest during the winter (DJF) season for TNn. The present study also examines the possible influence of large-scale teleconnection patterns on extreme temperature variations by determining the correlation between the absolute indices and the North Atlantic Oscillation (NAO) index on monthly, seasonal and annual timescales. Our results show that warming over Nigeria during the dry season months from November to February is significantly correlated with NAO. The NAO has significant correlation with TXx and TXn in the north, and with TNx and TNn in the south. The analysis is repeated with ERA-20C-gridded data set, and similar correlations are found. The warming nights, in particular, in Nigeria can lead to sleeplessness and widespread mosquito-related diseases as the mosquito population and its parasites thrive in warmer conditions. The results of the analyses are relevant for decision-making process, especially for the development of early warning systems for extreme heat events. A. A. ABATAN et al.

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Links between teleconnection patterns and mean temperature in Spain

Cited by 35 publications

References 75 publications

Complexity and predictability of the monthly Western Mediterranean Oscillation index

Complexity and predictability of the monthly Western Mediterranean Oscillation index

The Medieval Climate Anomaly in the Mediterranean Region

Trends and variability in absolute indices of temperature extremes over Nigeria: linkage with NAO

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