Temperature variability in China in an ensemble simulation for the last 1,200 years
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Regional temperature anomalies in China during 800–2005 ad in an ensemble simulation with the atmosphere–ocean general circulation model ECHAM5/MPIOM subject to anthropogenic and natural forcings are compared to reconstructions. In a mutual assessment of three reconstructed data sets and two ensemble simulations with different solar forcings, a reconstructed data set and a simulated ensemble for weak solar variability are selected for further comparison. Temperature variability in the selected simulated and reconstructed data shows a continuous power spectrum with weak long-term memory. The simulation reveals weak long-term anomaly periods known as the Medieval Warm Period (MWP), the Little Ice Age (LIA), and the Modern Warming (MW) in the three considered regions: Northeast, Southeast, and West China. The ensemble spread yields an uncertainty of ±0.5°C in all regions. The simulated temperature varies nearly synchronously in all three regions, whereas reconstructed data hint to increased decadal variability in the West and centennial variability in the Northeast. Cold periods are found in 1200–1300 and in 1600–1900 ad in all regions. The coldest anomalies which are caused by volcanic eruptions in the beginnings of the thirteenth and the nineteenth centuries are only partly consistent with reconstructed data. After 1800, the annual cycle reduces in the Northeast and on the Tibetan plateau, whereas the eastern Pacific shows an enhanced summer–winter contrast.
KeywordsTemperature Anomaly Aerosol Optical Depth Total Solar Irradiance Temperature Reconstruction Maunder Minimum
We like to thank Johann Jungclaus, Martin Claußen, and the Millennium Consortium at the Max-Planck Institute and at the University of Hamburg for providing the simulated data and for stimulating discussions. We are grateful to Wang Shao-Wu (Peking University, Beijing) for the reconstructed temperature time series. DZ acknowledges the support for the visit at Hamburg by the Institute of Geographic Sciences and Natural Resources Research (Chinese Academy of Sciences) and the Graduate School of the Chinese Academy of Sciences. The suggestions of the two anonymous reviewers helped improve the paper considerably.
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