Advances in Earth Science ›› 2017, Vol. 32 ›› Issue (9): 983-995. doi: 10.11867/j.issn.1001-8166.2017.09.0983

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Comparison on Spatial Distribution of Hydrogen and Oxygen Stable Isotope GCM Simulation in Global Precipitation

Wang Xuejie, Zhang Xinping, Zhang Wanjun, Zhang Xinzhu, Luo Zidong   

  1. Key Laboratory of Geospatial Big Data Mining and Application, College of Resources and Environmental Science, Hu’nan Normal University, Changsha 410081, China
  • Received:2017-04-11 Revised:2017-08-01 Online:2017-09-20 Published:2017-09-20
  • Contact: Zhang Xinping(1956-), male, Changsha City, Hu’nan Province, Professor. Research areas include climate change.E-mail:zxp@hunnu.edu.cn
  • About author:Wang Xuejie(1992-), male, Xinshao County, Hu’nan Province, Master student.Research areas include isotopic meteorology and climate change.E-mail:xuejiewang2015@163.com
  • Supported by:

    Foundation item:Project supported by the National Natural Science Foundation of China“Stable isotope sampling, simulation and compared in Xiangjiang River Basin”(No.41571021); Key Discipline Construction Projects in Hunan Province“Geography”(No.2016001)

Wang Xuejie, Zhang Xinping, Zhang Wanjun, Zhang Xinzhu, Luo Zidong. Comparison on Spatial Distribution of Hydrogen and Oxygen Stable Isotope GCM Simulation in Global Precipitation[J]. Advances in Earth Science, 2017, 32(9): 983-995.

The general circulation models are used to simulate hydrogen and oxygen stable isotope in precipitation, which can enhance our understanding of the migratory processes of water stable isotope in water cycle and remedy disadvantages of measured data in spatial and temporal discontinuity. We used ten GCM (General Circulation Models) simulated data including stable isotope water cycle, and analyzed the spatial distribution characteristics of oxygen stable isotope effect in global precipitation. Meanwhile, we compared different simulated results as well as simulated results and the GNIP (Global Network of Isotopes in Precipitation) actual monitoring results. Our main purposes were to evaluate the simulative validity of stable isotope atmospheric circulation and improve our understanding and cognition for stable isotopic effect in water cycle. The results indicated that isoGSM, ECHAM4, LMDZ4 and HadAM3 showed good performances in simulating δ18O. Expect HadAM3, other simulated conclusion of models had good performances in the aspect of simulate seasonal difference of δ18O in spatial distribution. The simulated results of isoGSM, GISS E-F, ECHAM4, GISS E-N and LMDZ4 matched monitoring results more in the aspect of simulating relationship between δ18O and air temperature in spatial distribution. LMDZ4, isoGSM, GISS E-F, ECHAM4 and MUGCM had stronger capacity in the aspect of simulating relationship between δ18O and precipitation in spatial distribution. GISS E-F, isoGSM and GISS E-N had more advantage of simulate global meteoric water line.

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