姜国艳, 祁莉, 陆桂荣, 吴云龙, 刘灵会, 党红凯. 河北省7个主要极端温度指数时空变化特征及原因分析[J]. 云南大学学报(自然科学版), 2016, 38(3): 430-438. doi: 10.7540/j.ynu.20150629
引用本文: 姜国艳, 祁莉, 陆桂荣, 吴云龙, 刘灵会, 党红凯. 河北省7个主要极端温度指数时空变化特征及原因分析[J]. 云南大学学报(自然科学版), 2016, 38(3): 430-438. doi: 10.7540/j.ynu.20150629
JIANG Guo-yan, QI Li, LU Gui-rong, WU Yun-long, LIU Ling-hui, DANG Hong-kai. On seven major extreme temperature index characteristics of temporal and spatial variation and the cause-effect analysis in Hebei Province[J]. Journal of Yunnan University: Natural Sciences Edition, 2016, 38(3): 430-438. DOI: 10.7540/j.ynu.20150629
Citation: JIANG Guo-yan, QI Li, LU Gui-rong, WU Yun-long, LIU Ling-hui, DANG Hong-kai. On seven major extreme temperature index characteristics of temporal and spatial variation and the cause-effect analysis in Hebei Province[J]. Journal of Yunnan University: Natural Sciences Edition, 2016, 38(3): 430-438. DOI: 10.7540/j.ynu.20150629

河北省7个主要极端温度指数时空变化特征及原因分析

On seven major extreme temperature index characteristics of temporal and spatial variation and the cause-effect analysis in Hebei Province

  • 摘要: 为了揭示河北省近34年来主要极端温度指数的变化规律和形成原因,提高该区域极端温度事件的预测,为全区农业气象灾害的防治提供科学依据,利用河北省21个观测站1980—2013年的日平均气温、日最高气温和日最低气温的观测资料,选取7个主要极端冷(暖)指数,研究了其时空变化特征,并进一步探讨了其特征差异的原因.结果表明:①极端暖指数均呈增加趋势,极端冷指数均呈减少趋势.其中炎热日数增加速度最慢,闷热日数增加速度最快,冰冻日数减少速度最慢,霜冻日数减少速度最快.②3个极端暖指数中,炎热日数和闷热日数的线性趋势都是正值,前者从东北到西南在逐渐增大,而后者恰好相反.极端高温事件日数线性趋势有正有负,且除了沿海地区外,从东北到西南线性趋势逐渐减小.③4个极端冷指数线性趋势均有正有负,且负值区均大于正值区.冰冻日数线性趋势除了秦皇岛地区外从东北到西南递增,而其余3个指数日数线性趋势变化复杂.④极端冷(暖)指数的变化受区域气候的影响很大,特别是近年来对区域气候增暖停滞现象的响应.⑤海拔是极端冷(暖)指数日数及线性趋势变化的重要原因,湿度也是影响因素之一,只不过影响程度较海拔要小得多.

     

    Abstract: In order to reveal the change rule of the main extreme temperature index and the reason of its formation in Hebei Province in the past 34 years and improve the prediction of extreme temperature events in the region,to provide scientific basis for the prevention and control of agricultural meteorological disasters in the whole region,by using daily average temperature,daily maximum temperature,daily minimum temperature observation data of 21 stations in Hebei Province during 1980—2013,extreme cold (warm) index characteristics of temporal and spatial variation has been studied,as well as the reasons of its characteristic difference.The results show that the extreme warm index shows an increasing trend,and the extreme cold index shows a decreasing trend.The number of blazing days increases slowest,while the number of frost days increases fastest,and the number of freezing days drops slowest,the number of frost days reduces fastest.The linear trend of the number of hot days and the number of stuffy days in the 3 extreme warm index is positive,and the former is gradually increasing from the northeast to the southwest,while the latter is the opposite.The linear trend of extreme high temperature events is positive and negative,and the linear trend in the northeast to the southwest gradually reduces,except for coastal areas.The linear trends of the 4 extreme cold index are positive and negative,negative region are bigger than the positive region.The linear trend of freezing days in addition to the Qinhuangdao area from northeast to southwest in addition,and linear trends of frost days,low temperature days and extreme low temperature event days change in a complex way.Extreme cold (warm) index has been much affected by regional climate change,especially in recent years on the regional climate heating stagnation phenomenon in response.Altitude is an important cause for the extreme cold (warm) exponential days and linear trend,humidity is also one of the factors,but the impact is much smaller than the altitude.

     

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