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Comparison of GCM-simulated isotopic compositions of precipitation in arid central Asia

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Abstract

The isotope-equipped GCMs (general circulation models) are useful tools to investigate the isoscape in precipitation and water vapor, especially for the regions without enough in-situ observations. To study the spatial distribution and seasonal variation of precipitation isotopic composition in arid central Asia, several isotope-equipped GCMs are applied, and the long-term observations in two stations are used to verify the GCM-simulated results. Generally, seasonality of isotopic composition can be well simulated in each GCM, and the values of δ 18O in precipitation are larger in summer months (from April to October) and lower in winter months (from November to March). Higher latitude usually shows lower values of δ 18O in precipitation, and lower latitude has higher values. The values of δ 18O are relatively low in the eastern section, and higher in the western section. Among these simulations, ECHAM is good at describing the isotopic composition in the study region, which can be seen from the mean absolute error (MAE) and root-mean-square error (RMSE). The ECHAM-derived values of δ 18O in precipitation positively correlate with the observed series, and the correlation coefficient based on ECHAM is the largest among these GCMs.

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References

  • Aemisegger F, Pfahl S, Sodemann H et al., 2014. Deuterium excess as a proxy for continental moisture recycling and plant transpiration. Atmospheric Chemistry and Physics, 14: 4029–4054.

    Article  Google Scholar 

  • Araguás-Araguás L, Froehlich K, Rozanski K, 1998. Stable isotope composition of precipitation over Southeast Asia. Journal of Geophysical Research, 103(D22): 28721–28742.

    Article  Google Scholar 

  • Chen L, Wang G C, Hu F S et al., 2014. Groundwater hydrochemistry and isotope geochemistry in the Turpan Basin, northwestern China. Journal of Arid Land, 6(4): 378–388. doi: 10.1007/s40333-013-0249-9.

    Article  Google Scholar 

  • Chen Xi, 2012. Retrieval and Analysis of Evapotranspiration in Central Areas of Asia. Beijing: China Meteorological Press. (in Chinese)

    Google Scholar 

  • Conroy J L, Cobb K M, Noone D, 2013. Comparison of precipitation isotope variability across the tropical Pacific in observations and SWING2 model simulations. Journal of Geophysical Research: Atmospheres, 118(11): 5867–5892.

    Google Scholar 

  • Feng Fang, Li Zhongqin, Zhang Mingjun et al., 2013. Deuterium and oxygen 18 in precipitation and atmospheric moisture in the upper Urumqi River Basin, eastern Tianshan Mountains. Environmental Earth Sciences, 68(4): 1199–1209.

    Article  Google Scholar 

  • Gat J R, 1996. Oxygen and hydrogen isotopes in the hydrologic cycle. Annual Review of Earth and Planetary Sciences, 24: 225–262.

    Article  Google Scholar 

  • Gu Weizu, 2011. Isotope Hydrology. Beijing: Science Press. (in Chinese)

    Google Scholar 

  • Hijmans R J, Cameron S E, Parra J L et al., 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology, 25(15): 1965–1978.

    Article  Google Scholar 

  • Hoffmann G, Werner M, Heimann M, 1998. Water isotope module of the ECHAM atmospheric general circulation model: A study on timescales from days to several years. Journal of Geophysical Research, 103(D14): 16871–16896.

    Article  Google Scholar 

  • IAEA/WMO (International Atomic Energy Agency / World Meteorological Organization), 2014. Global Network of Isotopes in Precipitation. http://www.iaea.org/water.

    Google Scholar 

  • Joussaume S, Sadourny R, Jouzel J, 1984. A general circulation model of water isotope cycles in the atmosphere. Nature, 311(5981): 24–29.

    Article  Google Scholar 

  • Jouzel J, Delaygue G, Landais A et al., 2013. Water isotopes as tools to document oceanic sources of precipitation. Water Resources Research, 49(11): 7469–7486.

    Article  Google Scholar 

  • Kong Yanlong, Pang Zhonghe, Froehlich K, 2013. Quantifying recycled moisture fraction in precipitation of an arid region using deuterium excess. Tellus B, 65, 19251, doi: 10.3402/tellusb.v65i0.19251.

    Article  Google Scholar 

  • Kurita N, Noone D, Risi C et al., 2011. Intraseasonal isotopic variation associated with the Madden-Julian Oscillation. Journal of Geophysical Research, 116, D24101, doi: 10.1029/2010JD015209.

    Google Scholar 

  • Liu Jianrong, Song Xianfang, Yuan Guofu et al., 2014. Stable isotopic compositions of precipitation in China. Tellus B, 66, 22567, doi: 10.3402/tellusb.v66.22567.

    Google Scholar 

  • Noone D, 2007. Assessing global model hydrology with simulations from the Stable Water-isotope Intercomparison Group. In: Cote J. Research activities in atmospheric and oceanic modeling, Report No.36. WMO, Vienna: 4–21.

    Google Scholar 

  • Pang Zhonghe, Kong Yanlong, Froehlich K et al., 2011. Processes affecting isotopes in precipitation of an arid region. Tellus B, 63(3): 352–359.

    Article  Google Scholar 

  • Risi C, Bony S, Vimeux F et al., 2010. Water-stable isotopes in the LMDZ4 general circulation model: Model evaluation for present-day and past climates and applications to climatic interpretations of tropical isotopic records. Journal of Geophysical Research: Atmospheres, 115, D12118, doi: 10.1029/2009JD013255.

    Article  Google Scholar 

  • Risi C, Landais A, Winkler R et al., 2013. Can we determine what controls the spatio-temporal distribution of d-excess and 17O-excess in precipitation using the LMDZ general circulation model. Climate of the Past, 9: 2173–2193.

    Article  Google Scholar 

  • Risi C, Noone D, Worden J et al., 2012. Process-evaluation of tropospheric humidity simulated by general circulation models using water vapor isotopologues: 1. Comparison between models and observations. Journal of Geophysical Research, 117, D05303, doi: 10.1029/2011JD016621.

    Google Scholar 

  • Shepard D, 1968. A two-dimensional interpolation function for irregularly-spaced data. Proceedings of the 1968 ACM National Conference, 517–524.

    Chapter  Google Scholar 

  • Sjolte J, Hoffmann G, 2014. Modelling stable water isotopes in monsoon precipitation during the previous interglacial. Quaternary Science Reviews, 85: 119–135.

    Article  Google Scholar 

  • Sturm C, Zhang Q, Noone D, 2010. An introduction to stable water isotopes in climate models: Benefits of forward proxy modelling for paleoclimatology. Climate of the Past, 6: 115–129.

    Article  Google Scholar 

  • Tian Lide, Yao Tandong, MacClune K et al., 2007. Stable isotopic variations in west China: A consideration of moisture sources. Journal of Geophysical Research, 112, D10112, doi: 10.1029/2006JD007718.

    Article  Google Scholar 

  • Tindall J C, Valdes P J, Sime L C, 2009. Stable water isotopes in HadCM3: Isotopic signature of El Nino Southern Oscillation and the tropical amount effect. Journal of Geophysical Research, 114, D04111, doi: 10.1029/2008JD010825.

    Article  Google Scholar 

  • Wang Shengjie, Zhang Mingjun, Sun Meiping et al., 2015. Comparison of surface air temperature derived from NCEP/DOE R2, ERA-Interim, and observations in the arid northwestern China: A consideration of altitude errors. Theoretical and Applied Climatology, 2015, 119(1/2): 99–111.

    Article  Google Scholar 

  • West J B, Bowen G J, Dawson T E et al., 2010. Isoscapes: Understanding Movement, Pattern, and Process on Earth through Isotope Mapping. Dordrecht, the Netherlands: Springer.

    Book  Google Scholar 

  • Yao Tandong, Masson V, Jouzel J et al., 1999. Relationships between δ 18O in precipitation and surface air temperature in the Urumqi River Basin, East Tianshan Mountains, China. Geophysical Research Letters, 26(23): 3473–3476.

    Article  Google Scholar 

  • Yao Tandong, Masson-Delmotte V, Gao Jing et al., 2013. A review of climatic controls on δ 18O in precipitation over the Tibetan Plateau: Observations and simulations. Reviews of Geophysics, 51(4): 525–548.

    Article  Google Scholar 

  • Yoshimura K, Kanamitsu M, Noone D et al., 2008. Historical isotope simulation using reanalysis atmospheric data. Journal of Geophysical Research, 113, D19108, doi: 10.1029/2008JD010074.

    Article  Google Scholar 

  • Zhang Jiabao, Deng Zifeng, 1987. Introduction of Precipitation in Xinjiang. Beijing: China Meteorological Press. (in Chinese)

    Google Scholar 

  • Zhang Xinping, Sun Zhian, Guan Huade et al., 2011. Intercomparison of δ 18O in precipitation simulated by Isotopic GCMs with GNIP Observation over the East Asia. Procedia Environmental Sciences, 10: 1601–1612.

    Article  Google Scholar 

  • Zhang Xinping, Sun Zhian, Guan Huade et al., 2012. GCM simulations of stable isotopes in the water cycle in comparison with GNIP observations over East Asia. Acta Meteorologica Sinica, 26(4): 420–437.

    Article  Google Scholar 

  • Zhang Xuewen, Zhang Jiabao, 2006. Xinjiang Meteorological Handbook. Beijing: China Meteorological Press. (in Chinese)

    Google Scholar 

  • Zhu Xiaofan, Zhang Mingjun, Wang Shengjie et al., 2015. Comparison of monthly precipitation derived from high-resolution gridded datasets in arid Xinjiang, central Asia. Quaternary International, 358: 160–170.

    Article  Google Scholar 

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Authors and Affiliations

  1. College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070, China

    Shengjie Wang, Mingjun Zhang, Fenli Chen, Yanjun Che, Mingxia Du & Yangmin Liu

Authors
  1. Shengjie Wang
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  2. Mingjun Zhang
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  3. Fenli Chen
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  4. Yanjun Che
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  5. Mingxia Du
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  6. Yangmin Liu
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Corresponding author

Correspondence to Mingjun Zhang.

Additional information

Foundation: National Natural Science Foundation of China, No.41161012, No.41461003; National Basic Research Program of China, No.2013CBA01801

Author: Wang Shengjie, PhD, specialized in climate change and hydrological cycle.

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Wang, S., Zhang, M., Chen, F. et al. Comparison of GCM-simulated isotopic compositions of precipitation in arid central Asia. J. Geogr. Sci. 25, 771–783 (2015). https://doi.org/10.1007/s11442-015-1201-z

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  • DOI: https://doi.org/10.1007/s11442-015-1201-z

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