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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Assessment of actual evapotranspiration variability over global land derived from seven reanalysis datasets
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Assessment of actual evapotranspiration variability over global land derived from seven reanalysis datasets

机译:评估来自七个重新分析数据集的全球陆地实际蒸散变异性

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With the motivation to identify whether global warming would lead to an increase in the rate of actual evapotranspiration (AE) over land, an assessment is made of AE variability from an ensemble of seven reanalyses (NCEP-NCAR, NCEP-DOE, MERRA, MERRA V2, ERA-Interim, JRA-55, and CFSR). By subdividing global land into nine climatic regions using the aridity index (AI), we examine the variability and long-term trend of regional AE and various related factors. Results indicate that AE shows a significant increasing trend during 1979-2015 in the humid, wet, and arctic regions. Overall, three main parameters, namely, precipitation, surface net solar radiation, and wet-day frequency, strongly influence the temporal variations of AE over most regions. The possible causes of trends in AE are examined in view of the linear trends of the related meteorological variables. Accordingly, increasing potential evapotranspiration and increasing vapour pressure are the main contributors to increasing AE in humid regions. Increasing temperature is the main contributor to increasing AE in wet regions. Both increasing energy supply and water supply on AE largely explain the significant increasing trend of AE in arctic regions. In view of data availability, a correlation analysis was conducted between AE in individual reanalyses and the results from the Mezentsev-Choudhury-Yang equation and the ensemble of the seven reanalyses. On average, NCEP-NCAR is the worst among the seven reanalysis datasets in revealing temporal characteristics of AE.
机译:通过识别全球变暖的动机会导致在土地上的实际蒸散(AE)的速度增加,评估是由七个Reanalyses的集合(NCEP-NCAR,NCEP-DOE,Merra,Merra)的AE变异性的评估V2,ERA-INTERIM,JRA-55和CFSR)。通过利用艾滋病指数(AI)将全球土地分成九个气候区域,研究区域AE的变异性和长期趋势和各种相关因素。结果表明,AE在潮湿,潮湿和北极地区的1979 - 2015年期间显示出显着提高趋势。总体而言,三个主要参数,即降水,表面净辐射和湿日频率,强烈影响大多数地区的AE的时间变化。鉴于相关气象变量的线性趋势,研究了AE趋势的可能原因。因此,提高潜在的蒸发和增加的蒸气压是增加潮湿区域的主要贡献者。越来越大的温度是湿地区增加AE的主要因素。随着AE的增长能源供应和供水均在很大程度上解释了北极地区AE的显着增加趋势。鉴于数据可用性,在单个Reanalyses中的AE之间进行相关分析,以及梅塞塞夫 - 丘 - 阳方程的结果和七个Reanalyses的集合。平均而言,NCEP-NCAR是七个重新分析数据集中最糟糕的揭示AE的时间特征。

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