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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Projections for the duration and degree days of the thermal growing season in Europe derived from CMIP5 model output
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Projections for the duration and degree days of the thermal growing season in Europe derived from CMIP5 model output

机译:从CMIP5模型输出得出的欧洲热生长季节的持续时间和度日的预测

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Global warming leads to a prolongation and intensification of the thermal growing season. In this study, we present projections for the growing season length and growing degree day sum (GDD) in Europe by the end of the 21st century using two threshold temperatures, 5 and 10 degrees C. The analysis was based on simulations performed with 22-23 CMIP5 global models under the RCP4.5 and RCP8.5 scenarios. Systematic errors in the temporal mean and variability of modelled temperatures were eliminated, and the data were downscaled spatially by employing a bias-correction method. To determine the onset, termination and GDD of the growing season, two methods have been used. The previously developed Fourier method is suited for exploring long-term means, while the novel temperature deviation integral method is applicable to inter-annual variations. According to the multi-model mean of the RCP8.5 simulations in the late 21st century, for the majority of Europe the growing season is prolonged by 1.5-2 months, the GDD above 5 degrees C increasing by 60-100%. Responses to RCP4.5 are qualitatively similar but smaller. A decomposition of the uncertainty variance reveals that in the near-term future the contribution of internal variability is pronounced, but by the end of the century inter-model differences dominate. In studying growing-season conditions on an annual basis, we found that in coming decades years with a GDD below the recent past (1971-2000) mean become very uncommon. In the majority of years, GDD will exceed the 10-year or even the 20- or 50-year return level derived from recent past data.
机译:全球变暖导致热生长季节的延长和加剧。在这项研究中,我们使用5和10摄氏度这两个阈值温度,对21世纪末欧洲的生长季节长度和生长天数总和(GDD)进行了预测。该分析基于22- RCP4.5和RCP8.5方案下的23个CMIP5全局模型。消除了时间平均值和建模温度变异性方面的系统误差,并通过使用偏差校正方法对数据进行了空间缩减。为了确定生长季节的开始,终止和GDD,使用了两种方法。先前开发的傅里叶方法适用于探索长期平均值,而新颖的温度偏差积分方法适用于年际变化。根据21世纪后期RCP8.5模拟的多模型平均值,在欧洲大部分地区,生长季节延长了1.5-2个月,高于5摄氏度的GDD增长了60-100%。对RCP4.5的响应在质量上相似但较小。不确定性方差的分解表明,在不久的将来,内部方差的贡献是明显的,但是到本世纪末,模型间的差异占主导地位。通过每年研究生长季节条件,我们发现在未来几十年中,GDD低于最近的过去(1971-2000年)平均值变得非常罕见。在大多数年份中,GDD都将超过根据最近的过去数据得出的10年甚至20年或50年的回报水平。

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