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Trends in extreme temperature indices in the Poyang Lake Basin, China

  • Hui TaoEmail author
  • Klaus Fraedrich
  • Christoph Menz
  • Jianqing Zhai
Original Paper

Abstract

Based on daily maximum and minimum temperature records at 78 meteorological stations in the Basin of China’s largest fresh water lake (Poyang Lake Basin), the temporal and spatial variability of 11 extreme temperature indices are investigated for the period 1959–2010. The analysis indicates that the annual mean of daily minimum temperature (Tmin) has increased significantly, while no significant trends were observed in the annual mean of daily maximum temperature (Tmax), resulting in a significant decrease in the diurnal temperature range. Trends and percentages of stations with significant trends in Tmin-related indices are generally stronger and higher than those in Tmax-related indices; however, no significant trends can be found in Tmax-related indices (TXMean, TX90p, TXx and TX10p) at both seasonal and annual time scale. Low correlations with Global-SST ENSO index are also detected in Tmax-related indices. Significant positive relationships can be found in Tmin-related indices (TNMean, TNx, TNn and TN90p), however, the most significant negative coefficient was also found in cold nights (TN10p) with the Global-SST ENSO index. Singular value decomposition (SVD) correlating extreme temperatures over the Poyang Lake Basin and the North Pacific SST indicates the East China Sea, Western Pacific and Bering Sea to be stronger linked with Tmin than Tmax with the first mode (SVD-1) explaining 90 and 94 % of annual Tmax and Tmin respectively.

Keywords

Extreme temperature indices Trend analysis Poyang Lake Basin Global-SST ENSO index 

Notes

Acknowledgments

This study is financially supported by the National Basic Research Program of China [No. 2012CB41700 and 2012CB955903) and the National Nature Sciences Foundation (No. 41375099, 91337108, 41271034, 41001017 and 41171024)]. The authors express their thanks to the National Climate Centre (NCC) of China Meteorological Administration (CMA) for providing the data. KF acknowledges support as Max Planck Fellow.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Hui Tao
    • 1
    Email author
  • Klaus Fraedrich
    • 2
  • Christoph Menz
    • 3
  • Jianqing Zhai
    • 4
  1. 1.State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and LimnologyCASNanjingChina
  2. 2.Max Planck Institute for MeteorologyHamburgGermany
  3. 3.Potsdam Institute for Climate Impact ResearchPotsdamGermany
  4. 4.National Climate CenterChina Meteorological AdministrationBeijingChina

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