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Analysis of near-surface wind speed change in China during 1958-2015

机译:1958 - 2015年中国近表面风速变化分析

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摘要

Using the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR), Japanese 55-year (JRA55), and European Centre for Medium-Range Weather Forecasts Interim (ERA-Interim) reanalysis datasets and station observational data, the variations in near-surface wind speed are analyzed in China. The results show that near-surface wind speeds decreased by approximately -0.109ms(-1)decade(-1) from 1958 to 2015 in China; however, this decreasing trend has not been evident since 2000. The decreasing trend was caused by the weakening of both the zonal (u) and meridional (v) components of wind vectors during all seasons. Weakened v components are closely related to the weakened Siberian High (SH), and the decreasing pressure gradient associated with the SH causes a reduction in the north wind. The reduction in the u component has a limited association with the SH from a nationwide perspective, and the enhanced geopotential height over Northeast Asia plays a non-negligible role in the variability of u and causes a weakening of the prevailing west wind in Northeast China. The results also show that the JRA55 reanalysis dataset can better reflect the changes and spatial distribution of near-surface wind speeds in China than can the NCEP/NCAR and ERA-Interim reanalysis datasets. The correlation coefficient between the wind speed anomalies in the JRA55 and observational datasets is 0.842, which is notably larger than that in the NCEP/NCAR and ERA-Interim reanalysis datasets (0.527 and 0.576, respectively).
机译:利用国家环境预测/国家大气研究中心(NCEP / NCAR),日本55年(JRA55),以及欧洲中等天气预报中心临时(ERA临时)再分析数据集和站观测数据在中国分析了近地风速的变化。结果表明,近表面风速度从1958年到2015年降低了大约-0.109ms(-1)十年(-1);然而,自2000年以来,这种降低的趋势尚未明显。降低趋势是由于在所有季节期间风传感器的纬向(U)和子午线(V)组分的弱化造成的。弱化的V组分与弱化西伯利亚高(SH)密切相关,并且与SH相关的减小的压力梯度导致北风的减少。 U组分的减少与全国范围内的SH有限,东北亚的增强的地球势高度在u的可变性中起着不可忽略的作用,并导致中国东北地区的盛行西风削弱。结果还表明,JRA55再分析数据集可以更好地反映中国近表面风速的变化和空间分布,而不是NCEP / NCAR和ERA-临时再分析数据集。 JRA55和观察数据集中的风速异常之间的相关系数为0.842,其比NCEP / NCAR和ERA-Instim Reanaly Datasets(分别为0.527和0.576)的显着大。

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  • 来源
    《Theoretical and applied climatology》 |2019年第4期|2785-2801|共17页
  • 作者单位

    Lanzhou Univ Coll Atmospher Sci Key Lab Semiarid Climate Change Minist Educ Lanzhou 730000 Peoples R China;

    Lanzhou Univ Coll Atmospher Sci Key Lab Semiarid Climate Change Minist Educ Lanzhou 730000 Peoples R China;

    Lanzhou Univ Coll Atmospher Sci Key Lab Semiarid Climate Change Minist Educ Lanzhou 730000 Peoples R China;

    Xian Polytech Univ Sch Environm & Chem Engn Xian 710048 Shaanxi Peoples R China;

    Lanzhou Cent Meteorol Observ Lanzhou 730020 Gansu Peoples R China;

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