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

  • Ruhua Zhang
  • Shiyan Zhang
  • Jiali LuoEmail author
  • Yuanyuan Han
  • Junxia Zhang
Original Paper

Abstract

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 − 0.109 ms−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).

Notes

Acknowledgments

The meteorological data are available from National Meteorological Information Center (NMIC, http://data.cma.cn/) and the JRA55 (ds.data.jma.go.jp), ERA-Interim (http://apps.ecmwf.int/datasets/) and NCEP/NCAR reanalysis datasets (https://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html).

Funding information

This work was supported by the National Natural Science Foundation of China (41705021, 41775051) and the Fundamental Research Funds for the Central Universities (lzujbky-2018-48, lzujbky-2018-ct03).

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Copyright information

© Springer-Verlag GmbH Austria, part of Springer Nature 2019

Authors and Affiliations

  • Ruhua Zhang
    • 1
  • Shiyan Zhang
    • 1
  • Jiali Luo
    • 1
    Email author
  • Yuanyuan Han
    • 2
  • Junxia Zhang
    • 3
  1. 1.Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric SciencesLanzhou UniversityLanzhouChina
  2. 2.School of Environmental and Chemical EngineeringXi’an Polytechnic UniversityXi’anChina
  3. 3.Lanzhou Central Meteorological ObservatoryLanzhouChina

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