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The influence of Atlantic-Eurasian teleconnection patterns on temperature regimes in South Caspian Sea coastal areas: a study of Golestan Province, North Iran

机译:大西洋-欧亚遥相关型对南里海沿岸温度区的影响:伊朗北部戈勒斯坦省的研究

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The main objective of this study was to reveal the impact of nine climate indices on temperature changes and climate oscillations in Golestan Province along the southern coast of the Caspian Sea. Climate indices data from across the Atlantic-Eurasian sector were collected from the NCEP/NCAR, the Climate Prediction Centre (CPC) and the Climatic Research Unit (CRU) over a period of 40 years (1971-2010). The climate indices are then compared and correlated with temperature observations from 47 weather stations collected from meteorological and energy organizations. The correlations are based on the 12-month moving average. The study results show a significant increasing temperature trend in most months over different regions of Golestan. For maximum temperature, a significant increasing trend was seen in 55.64, 41.8 and 40% of the land area in the province during August, June and July, respectively. In general, summer had the most significant maximum-temperature trends, with an average of 37.8% of the land area. On the other hand, increasing minimum-temperature trends were seen in 58% of the land area of the province compared to the other seasons. It was concluded that there is high correlation between climate indices and temperature components. The correlation coefficients obtained for various indices including North Atlantic Oscillation (NAO), North Sea Caspian Pattern (NCP), Arctic Oscillation Index (AO), East Atlantic (EA), East Atlantic/West Russia (EATL/WRUS), Atlantic Multi-decadal Oscillation (AMO), North Tropical Atlantic (NTA), Polar/Eurasia (PE), and Scandinavia teleconnection index (SCAND) suggest an inverse relationship between these indices and temperature components. Therefore, the higher the values of these indices, the lower the temperature values, and vice versa.
机译:这项研究的主要目的是揭示九种气候指数对里海南部海岸的哥伦斯坦省温度变化和气候振荡的影响。在40年期间(1971-2010年),从NCEP / NCAR,气候预测中心(CPC)和气候研究组(CRU)收集了来自大西洋-欧亚大陆的气候指数数据。然后将气候指数进行比较,并将其与从气象和能源组织收集的47个气象站的温度观测值进行关联。相关性基于12个月的移动平均值。研究结果表明,在Golestan的不同区域中,大多数月份的温度都有明显的上升趋势。就最高温度而言,8月,6月和7月分别占全省国土面积的55.64%,41.8%和40%。总体而言,夏季的最高气温趋势最为明显,平均占陆地面积的37.8%。另一方面,与其他季节相比,该省58%的土地面积的最低气温趋势有所提高。结论是,气候指数与温度成分之间具有高度相关性。从各种指数获得的相关系数,包括北大西洋涛动(NAO),北海里海模式(NCP),北极涛动指数(AO),东大西洋(EA),东大西洋/俄罗斯西部(EATL / WRUS),多大西洋年代际振荡(AMO),北热带大西洋(NTA),极地/欧亚大陆(PE)和斯堪的纳维亚遥相关指数(SCAND)表明这些指数与温度分量之间呈反比关系。因此,这些指数的值越高,温度值越低,反之亦然。

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