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Trends and projections of temperature, precipitation, and snow cover during snow cover-observed period over southwestern Iran

机译:伊朗西南部积雪观测期间温度,降水和积雪的趋势和预测

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摘要

In the present study, tendencies in temperature, precipitation, and snow cover area over the southwestern part of Iran have been assessed. The research mainly focused on snow cover-observed period which included the months of December, January, February, March, and April in the area. This research has been divided into two parts. First part consists of an analysis of the trends in temperature, precipitation, and snow cover area during the above months. Trends in these parameters were tested by linear regression, and significance was determined by t test. Mann-Kendall rank test (MK test) was also employed to confirm the results of linear regression. Sequential Mann-Kendall test (SQ-MK test) was applied for change point detection in the series. For snow cover analysis, remote sensing images from National Oceanic and Atmospheric Administration (NOAA) satellite with advanced very high resolution radiometer (AVHRR) sensor for the period 1987-2007 were used. The second part of the research involved future projections based on four models under B1 and A1B emission scenarios. The models used were centre national de recherches meteorologiques (CNRM), European Center Hamburg model (ECHAM), Model for Interdisciplinary Research on Climate (MIROCH) and United Kingdom Meteorological Office (UKMOC) under the Intergovernmental Panel on Climate Change (IPCC) AR4. The analysis of temperature trends revealed a significant increase during February and April. Temperature projections showed that temperature may increase between 1.12 to 7.87 A degrees C by 2100 in the study area. The results of precipitation series indicated that majority of the stations registered insignificant trends during the twentieth century. However, precipitation may decrease according to most of the models under both scenarios, but the decrease may not be large, except according to MIROCH model. The results of trend analysis of snow cover area indicated that no significant trends were detected by any statistical tests at 95 % confidence level during the twentieth century. Snow cover projection showed that snow cover area may decrease as indicated by all the models under both scenarios at the end of twenty-first century consistent with the projected increase in temperature.
机译:在本研究中,已经评估了伊朗西南部地区温度,降水和积雪面积的趋势。研究主要集中在雪盖观测期,包括该地区的12月,1月,2月,3月和4月。这项研究分为两个部分。第一部分包括对上述月份中温度,降水和积雪面积趋势的分析。通过线性回归测试这些参数的趋势,并通过t检验确定显着性。还使用了Mann-Kendall等级检验(MK检验)来确认线性回归的结果。序列Mann-Kendall检验(SQ-MK检验)用于系列中的变化点检测。为了进行积雪分析,使用了来自美国国家海洋和大气管理局(NOAA)卫星的,具有先进超高分辨率辐射计(AVHRR)传感器的1987-2007年遥感图像。研究的第二部分涉及在B1和A1B排放情景下基于四个模型的未来预测。政府间气候变化专门委员会(IPCC)AR4下使用的模型是国家中心气象法(CNRM),欧洲汉堡中心模型(ECHAM),气候学科研究模型(MIROCH)和英国气象局(UKMOC)。对温度趋势的分析表明,在二月和四月期间显着增加。温度预测表明,研究区域的温度到2100年可能会在1.12至7.87 A摄氏度之间升高。降水序列的结果表明,在二十世纪期间,大多数台站的趋势不明显。但是,在两种情况下,根据大多数模型的降水量可能会减少,但除MIROCH模型外,减少量可能并不大。积雪面积趋势分析的结果表明,在20世纪,在95%置信度下,任何统计检验均未发现明显趋势。积雪投影表明,在21世纪末两种情况下,所有模型都表明积雪面积可能会减少,这与预计的温度升高一致。

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  • 来源
    《Theoretical and applied climatology》 |2015年第4期|421-440|共20页
  • 作者单位

    Islamic Azad Univ, Islamshahr Branch, Dept Geog, Tehran, Iran;

    Savitribai Phule Pune Univ, Dept Geog, Pune 411007, Maharashtra, India;

    Indian Inst Trop Meteorol, Ctr Adv Training, Pune 411008, Maharashtra, India;

    Savitribai Phule Pune Univ, Nowrosjee Wadia Coll, Dept Geog, Pune 411001, Maharashtra, India;

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