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Wet-bulb, dew point, and air temperature trends in Spain

机译:西班牙的湿球,露点和气温趋势

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摘要

This study analyses trends of mean (T (m)), maximum (T (x)), minimum (T (n)), dew point (T (d)), and wet-bulb temperatures (T (w)) on an annual, seasonal, and monthly time scale over Spain during the period 1981-2010. The main purpose was to determine how temperature and humidity changes are impacting on T (w), which is probably a better measure of climate change than temperature alone. In this study, 43 weather stations were used to detect data trends using the nonparametric Mann-Kendall test and the Sen method to estimate the slope of trends. Significant linear trends observed for T (m), T (x), and T (n) versus year were 56, 58, and 47 % of the weather stations, respectively, with temperature ranges between 0.2 and 0.4 A degrees C per decade. The months with bigger trends were April, May, June, and July with the highest trend for T (x). The spatial behaviour of T (d) and T (w) was variable, with various locations showing trends from -0.6 to +0.3 A degrees C per decade for T (d) and from -0.4 to +0.5 A degrees C per decade for T (w). Both T (d) and T (w) showed negative trends for July, August, September, November, and December. Comparing the trends versus time of each variable versus each of the other variables exhibited poor relationships, which means you cannot predict the trend of one variable from the trend of another variable. The trend of T (x) was not related to the trend of T (n). The trends of T (x), T (m), and T (n) versus time were unrelated to the trends versus time of either T (d) or T (w). The trend of T (w) showed a high coefficient of determination with the trend of T (d) with an annual value of R (2) = 0.86. Therefore, the T (w) trend is more related to changes in humidity than temperature.
机译:这项研究分析了平均值(T(m)),最大值(T(x)),最小值(T(n)),露点(T(d))和湿球温度(T(w))的趋势。 1981-2010年期间西班牙的年度,季节性和每月时间范围。主要目的是确定温度和湿度的变化如何影响T(w),这可能是比单独测量温度更好的气候变化量度。在这项研究中,使用非参数Mann-Kendall检验和Sen方法估计了趋势的斜率,使用了43个气象站来检测数据趋势。 T(m),T(x)和T(n)与年相比,观测到的显着线性趋势分别是气象站的56%,58%和47%,温度范围为每十年0.2至0.4 A摄氏度。 T(x)趋势最大的月份是4月,5月,6月和7月。 T(d)和T(w)的空间行为是可变的,不同位置显示T(d)从每十年-0.6到+0.3 A摄氏度,T(d)从每十年-0.4到+0.5 A摄氏度的趋势。 T(w)。 T(d)和T(w)在7月,8月,9月,11月和12月都显示出负趋势。将每个变量的趋势与时间与其他变量的趋势进行比较,发现它们之间的关系很差,这意味着您无法从另一个变量的趋势预测一个变量的趋势。 T(x)的趋势与T(n)的趋势无关。 T(x),T(m)和T(n)随时间的趋势与T(d)或T(w)随时间的趋势无关。 T(w)的趋势显示出较高的确定系数,而T(d)的趋势具有R(2)= 0.86的年值。因此,T(w)趋势与湿度的变化比温度的关系更大。

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  • 来源
    《Theoretical and applied climatology》 |2017年第2期|419-434|共16页
  • 作者单位

    Tech Univ Madrid, Dept Prod Agr, Madrid 28040, Spain|Res Ctr Management Agr & Environm Risks, CEIGRAM, Madrid 28040, Spain;

    Res Ctr Management Agr & Environm Risks, CEIGRAM, Madrid 28040, Spain;

    Tech Univ Madrid, Dept Prod Agr, Madrid 28040, Spain|Res Ctr Management Agr & Environm Risks, CEIGRAM, Madrid 28040, Spain;

    Univ Sassari, Dept Sci Nat & Environm Resources DipNet, Sassari, Italy|EuroMediterranean Ctr Climate Change CMCC, IAFENTs Div, Sassari, Italy;

    Univ Calif Davis, Dept Land Air & Water Resourses, Davis, CA 95616 USA;

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