The relationship between atmospheric blocking and precipitation changes in Turkey between 1977 and 2016

Efe, Bahtiyar; Lupo, Anthony R.; Deniz, Ali

doi:10.1007/s00704-019-02902-z

Cited by 16 publications

(8 citation statements)

References 38 publications

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“…[67][68][69][70] There are indicators that the recent heat and drought of northern Russia and Siberia have been associated with blocking, including the measurement of 38 °C (100 °F) in Verkhoyansk on June 20, 2020 (see the University of Missouri blocking archive 71 ). However, a wide range of other types of extreme weather events have been attributed to the blocking environment, such as cold waves, 46,47,63,[72][73][74][75] extreme precipitation and flooding, 76,77 summer season thunderstorm activity, 78 blizzards, 79,80 as well as having an impact on the weather for entire seasons. 75,80,81 Within the last two decades, atmospheric blocking has also been shown to affect air masses and air mass transport across the globe in the troposphere, 82 as well as the stratospheric weather (sudden stratospheric warming or variability, e.g., Refs.…”

Section: Observational Studies Of Blocking and Extreme Weathermentioning

confidence: 99%

“…However, a wide range of other types of extreme weather events have been attributed to the blocking environment, such as cold waves, 46,47,63,[72][73][74][75] extreme precipitation and flooding, 76,77 summer season thunderstorm activity, 78 blizzards, 79,80 as well as having an impact on the weather for entire seasons. 75,80,81 Within the last two decades, atmospheric blocking has also been shown to affect air masses and air mass transport across the globe in the troposphere, 82 as well as the stratospheric weather (sudden stratospheric warming or variability, e.g., Refs. [83][84][85][86], including photochemistry in this part of the atmosphere.…”

Section: Observational Studies Of Blocking and Extreme Weathermentioning

confidence: 99%

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Atmospheric blocking events: a review

Lupo

2020

Annals of the New York Academy of Sciences

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Even though meteorologists have been aware of atmospheric blocking for more than 100 years, it is a phenomenon still not well forecast or completely understood. Also, while there is not one standard accepted definition, there are some commonalities known about the understanding of blocking behavior. Blocking occurs less often than other destructive phenomena, but globally their occurrence has increased since the beginning of the century. The longevity of blocking means it can negatively impact agricultural and economic activity and human comfort by bringing extreme conditions not only to the areas where they occur but also to locations well upstream and downstream. Additionally, while it is known where blocking occurs and their general character has been well described, operational models still struggle to replicate the intensity and duration even though improvement has been noted in the timing and location of onset. Climatologically, models still underestimate their occurrence. In the last 40 years, investigators have used case study analysis and numerical and theoretical models to understand the onset and maintenance of blocking. Comparatively few have examined block decay. This review endeavors to cover the highlights of the history of blocking investigations, especially in the last few decades, in order to provide an understanding for a more general scientific audience.

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Section: Observational Studies Of Blocking and Extreme Weathermentioning

confidence: 99%

Section: Observational Studies Of Blocking and Extreme Weathermentioning

confidence: 99%

Atmospheric blocking events: a review

Lupo

2020

Annals of the New York Academy of Sciences

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“…However, challenge comes in understanding the behavior of rainfall distribution pattern when applied on a regional scale. Pattern of rainfall, its frequency and magnitude may drastically vary depending upon the orography (Venkatesh and Jose 2007), large-scale synoptic and convective precipitation types (Karaca et al 2000, Unal et al 2012Baltacı et al 2015;Efe et al 2019) of the region. Scarcity of sufficient data at many sites of interest, may further complicate the investigation.…”

Section: Introductionmentioning

confidence: 99%

Importance of regional rainfall data in homogeneous clustering of data-sparse areas: a study in the upper Brahmaputra valley region

Hazarika

Sarma

2021

Theor Appl Climatol

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Delineation of homogeneous regions has found its way into many hydrological applications as it helps in addressing the challenges in understanding the behavior of rainfall distribution and its variability at a local scale. In the present study, rainfall data recoded by 83 tea gardens in the upper Brahmaputra valley region of Assam have been used to identify homogeneous rainfall regions by using fuzzy clustering analysis. Further, seven different cluster validity indices (CVs) were utilized to find out the optimum clustering in the fuzzy c-means (FCM) algorithm. The clusters thus formed were assessed for statistical homogeneity by performing homogeneity tests based on L-moment. Three different combinations of feature vectors were employed in FCM algorithm and the outputs were compared for attaining best solutions to regionalization. The results were further compared with previous regionalization studies. The analysis and comparison conclude that if regionalization needs to be done at a local scale, further sub-clustering of a larger clustered region to smaller regions may be required. Local rainfall data can be used for the purpose provided a good dataset with large number of station points are available within the region. Along with rainfall data, geographical location 2 parameters (latitude, longitude and elevation) need to be taken into account for getting a definite conclusion.

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“…The Southern Oscillation is defined as the instabilities of atmospheric pressure at sea level between the pacific subtropical high pressure and the low-pressure center along the Indian Ocean (Rasmusson and Wallace, 1983). As El Nino Southern Oscillation has an impact on climatic conditions in various parts of the world (Nazemosadat and Cordery 2000;Hasanean 2004;Vázquez et al 2005;Vicente -Serrano 2005;Brönniman et al, 2007;Zuhairi et al 2013;King et al 2020;Valdez-Cepeda et al, 2020) affects the weather patterns of countries in the Mediterranean Basin (Price et al, 1998, Nazemosadat and Cordery 2000, Salameh et al, 2019 and also Turkey (Türkeş 1998;Karaca et al2000;Türkeş, 2000;Karabörk and Kahya 2003;Karabörk et al2005;Martı 2007; Martı and Kahya 2007;Martı 2014;Tosunoğlu et al2018, Efe et al, 2019. El Niño-Southern Oscillation (ENSO) is a strong climate driver in the interannual timescales, its climate impact is wide-ranging in the Asia-Pacific region.…”

Section: Introductionmentioning

confidence: 99%

The Effects of Atmospheric Oscillations on Crop Yield in the Mediterranean Region, Turkey

Uzun¹,

Ustaoğlu²

2021

Preprint

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In the last century climate change is a major threat to biodiversity, ecosystem services, and human well‐being. Atmospheric oscillations that occur at the regional oceanic flow pattern may affect significantly the climate of the Earth. In this study, we investigate effects of ENSO (El Nino Southern Oscillation) and NAO (North Atlantic Oscillation) on the Mediterranean crop yield using the Nino 3, Nino3.4, Nino 4, ONI and NAO indices. Olive, which is a bioindicator type in the Mediterranean, and cotton and grapes with high yield and economic value crops were examined. As a method, firstly, Mann Kendall rank correlation test was applied to the yield values of the crops. After the 2000s, it has been determined that the trend of yield has changed and was obtained an increasing trend. Secondly, the correlation between the yields and the indices were determined with the Spearman correlation coefficient. Accordingly, a high correlation of 50% and 80% was found at the p ≤ 0.05 and p ≤ 0.00 significance level in the phenological periods of the crops. The highest correlations were determined especially during flowering period with El Nino indices. The frequency of the correlation detected with the NAO indece is weak. The effect on the efficiency of the phases when El Nino indices are strong was examined graphically. Accordingly, in the 1997 and 2015-2016 periods, when the El Nino phenomen was very stong, there were sharply decreases in the crop yields. It is seriously affects the countries whose economic activity is based on agriculture in the Mediterranean Basin, and it is likely to affect food industry in the future.

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The relationship between atmospheric blocking and precipitation changes in Turkey between 1977 and 2016

Cited by 16 publications

References 38 publications

Atmospheric blocking events: a review

Atmospheric blocking events: a review

Importance of regional rainfall data in homogeneous clustering of data-sparse areas: a study in the upper Brahmaputra valley region

The Effects of Atmospheric Oscillations on Crop Yield in the Mediterranean Region, Turkey

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