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Climate-vegetation interannual variability in a coupled atmosphere-ocean-land model

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Abstract

The coupled models of both the Global Ocean-Atmosphere-Land System (GOALS) and the Atmosphere-Vegetation Interaction Model (GOALS-AVIM) are used to study the main characteristics of interannual variations. The simulated results are also used to investigate some significant interannual variability and correlation analysis of the atmospheric circulation and terrestrial ecosystem. By comparing the simulations of the climate model GOALS-AVIM and GOALS, it is known that the simulated results of the interannual variations of the spatial and temporal distributions of the surface air temperatures and precipitation are generally improved by using AVIM in GOALS-AVIM. The interannual variation displays some distinct characteristics of the geographical distribution. Both the Net Primary Production (NPP) and the Leap Area Index (LAI) have quasi 1–2-year cycles. Meanwhile, precipitation and the surface temperatures have 2–4-year cycles. Conditions when the spectrum density values of GOALS are less than those of GOALS-AVIM, tell us that the model coupled with AVIM enhances the simulative capability for interannual variability and makes the annual cycle variability more apparent. Using Singular Value Decomposition (SVD) analysis, the relationship between the ecosystem and the atmospheric circulation in East Asia is explored. The result shows that the strengthening and weakening of the East Asian monsoon, characterized by the geopotential heights at 500 hPa and the wind fields at 850 hPa, correspond to the spatiotemporal pattern of the NPP. The correlation between NPP and the air temperature, precipitation and solar radiation are different in interannual variability because of the variation in vegetation types.

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References

  • Brovkin, V., 2002: Climate-vegetation interaction. J. Physics, 4, 57–72.

    Google Scholar 

  • Bretherton, C. S., C. Smith, and J. M. Wallace, 1992: An intercomparison of methods for finding coupled patterns in climate data. J. Climate, 5(6), 541–560.

    Article  Google Scholar 

  • Charney, J. G., P. H. Stone, and W. J. Quirk, 1975: Drought in Sahara biogeophysical feedback mechanism. Science, 187, 434–435.

    Article  Google Scholar 

  • Claussen, M., 1997: Modeling bio-geophysical feedback in the African and Indian monsoon region. Climate Dyn., 13, 247–257.

    Article  Google Scholar 

  • Cramer, W., and Coauthors, 2001: Global response of terrestrial ecosystem structure and function to CO2 and climate change: Results from six dynamic global vegetation models. Global Change Biology, 7, 357–373.

    Article  Google Scholar 

  • Dan, L., 2003: Simulation of multi-scale variation in the two-way interaction model between biosphere and atmosphere. Ph. D. dissertation, Institute of Atmospheric Physics, Chinese Academy of Sciences, 192pp. (in Chinese)

  • Dan, L., and J. J. Ji, 2007: The surface energy, water, carbon flux and their intercorrelated seasonality in a global climate-vegetation coupled model. Tellus(B), 59(3), 425–438.

    Google Scholar 

  • Dan, L., J. Ji, and Y. Li, 2002: Climate simulate based on a different-grid nested and coupled model. Adv. Atmos. Sci., 19(3), 487–499.

    Article  Google Scholar 

  • Dan, L., J. Ji, and Y. He, 2007: Use of ISLSCP II data to intercompare and validate the terrestrial net primary production in a land surface model coupled to a general circulation model. J. Geophys. Res., 112, D02S90. doi: 10.1029/2006JD007721.

  • Dan, L., J. J. Ji, and Y. P. Li, 2005: Climatic and biological simulations in a two-way coupled atmospherebiosphere model (CABM). Global and Planetary Change, 47, 153–169.

    Article  Google Scholar 

  • Friedlingstein, P., P. Cox, R. Betts, L. Bopp, W. Von Bloh, V. Brovkin, P. Cadule, and S. Doney, 2006: Climate-carbon cycle feedback analysis: Results from the C4MIP Model intercomparison. J. Climate, 19(14), 3337–3353.

    Article  Google Scholar 

  • Fu, C., G. Wen, L. Xie, M. Zhao, and H. Yuan, 2002: The diagnosis and simulation studies on climate and ecosystem interactions in East Asia monsoon region. Journal of Nanjing University (Natural Sciences), 38(3), 281–294. (in Chinese)

    Google Scholar 

  • Gao, L., X. An, and Q. Liu, 2004: 500 hPa Circulation variation and precipitation abnormity during Shandong spring. Scientia Meteorologica Sinica, 24(4), 440–447. (in Chinese)

    Google Scholar 

  • Gu, J., J. Zhang, and J. Chao, 1994: Atmospheric Science Dictionary. China Meteorological Press, Beijing, 980pp. (in Chinese)

    Google Scholar 

  • He, Y., W. Dong, J. Ji, and L. Dan, 2005: The net primary production simulation of simulation terrestrial ecosystems in china by AVIM. Adv. Atmos. Sci., 20(3), 345–349.

    Google Scholar 

  • Huang, J., 2004: The Methods of Statistical Analysis and Prediction in Meteorology. Meteorological Press, Beijing, 298pp. (in Chinese)

    Google Scholar 

  • Iwasaka, N., and J. M. Wallace, 1995: Large scale air sea interaction in the Northern Hemisphere from a view point of variations of surface heat flux by SVD analysis. J. Meteor. Soc. Japan, 73, 781–794.

    Google Scholar 

  • Ji, J. J., 1995: A climate-vegetation interaction model: Simulating physical and biological processes at the surface. Journal of Biogeography, 22, 445–451.

    Article  Google Scholar 

  • Ji, J., and L. Yu, 1999: A Simulation study of coupled feedback mechanism between physical and biogeochemical processes at the surface. Chinese J. Atmos. Sci., 23(4), 439–448. (in Chinese)

    Google Scholar 

  • Levis, S., G. B. Bonan, and P. J. Lawrence, 2007: Presentday springtime high-latitude surface albedo as a predictor of simulated climate sensitivity. Geophys. Res. Lett., 34, L17703, doi: 10.1029/2007GL030775.

  • Li, Y., and C. Li, 2001: Singular value decomposition analysis of air temperature in spring in Sichuan Province and Chongqing city and 500 hPa geopotential height. Plateau Meteorology, 20(2), 165–172. (in Chinese)

    Google Scholar 

  • Liu, H, and G.-X. Wu, 1997: Impacts of land surface on climate of July and onset of summer monsoon: A study with an AGCM plus SSiB. Adv. Atmos. Sci., 14(3), 289–308.

    Article  Google Scholar 

  • Liu, H., X. Jin, X. Zhang, and G. Wu, 1996: A coupling experiment of an atmosphere and an ocean model with a monthly anomaly exchange scheme. Adv. Atmos. Sci., 13(2), 133–146.

    Article  Google Scholar 

  • Liu, H., X. Zhang, and G.-X. Wu, 1998: Cloud feedback on SST variability in western equatorial Pacific in a CGCM. Adv. Atmos. Sci., 15(3), 410–423.

    Google Scholar 

  • Matthews, H. D., M. Eby, T. Ewen, P. Friedlingstein, and B. J. Hawkins, 2007: What determines the magnitude of carbon-cycle-climate feedbacks? Global Biogeochemical Cycles, 21, GB2012, doi: 10.1029/2006GB002733.

  • Nemani, R. R., C. D. Keeling, H. Hashimoto, W. M. Jolly, S. C. Piper, C. J. Tucker, R. B. Myneni, and S. W. Running, 2003: Climate-driven increases in global terrestrial net primary production from 1982 to 1999. Science, 300, 1560–1563.

    Article  Google Scholar 

  • Notaro, M., S. Vavrus, and Z. Liu, 2007: Global vegetation and climate change due to future increases in CO2 as projected by a fully coupled model with dynamic vegetation. J. Climate, 20, 70–90.

    Article  Google Scholar 

  • Pielke Jr., R. A., 1998: Rethinking the role of adaptation in climate policy. Global Environmental Change, 8(2), 159–170.

    Article  Google Scholar 

  • Prentice, I. C., M. Heimann, and S. Sitch, 2000: The carbon balance of the terrestrial biosphere: ecosystem models and atmospheric observations. Ecological Applications, 10, 1553–1573.

    Article  Google Scholar 

  • Prohaska, J. T., 1976: A technique for analyzing the linear relationships between two meteorological fields. Mon. Wea. Rev., 104(11), 1345–1353.

    Article  Google Scholar 

  • Schlesinger, M. E., and X. Jiang, 1991: Revised projection of future greenhouse warming. Nature, 350, 219–221.

    Article  Google Scholar 

  • Sellers, P. J., and Coauthors, 1997: Modeling the exchanges of energy, water, and carbon between continents and the atmosphere. Science, 275, 502–509.

    Article  Google Scholar 

  • Shen, S., and K.-M. Lau, 1995: Biennia oscillation associated with the East Asian summer monsoon and tropical sea surface temperatures. Journal of the Meteorological Society of Japan, 73(1), 105–124.

    Google Scholar 

  • Shi, N., F. Y. Wei, G. L. Fen, and T. L. Shen, 1997: Monte Carlo test used in correlation and composite analysis of meteorological fields. Journal of Nanjing Institute of Meteorology, 20(3), 355–359. (in Chinese)

    Google Scholar 

  • Sitch, S., and Coauthors, 2003: Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model. Global Change Biology, 9, 161–185.

    Article  Google Scholar 

  • Tang, X., W. Qian, and P. Liang, 2006: Climatic features of boundary belt for East Asian summer monsoon. Plateau Meteorology, 25(3), 275–281. (in Chinese)

    Google Scholar 

  • Texier, D., and Coauthors, 1997: Quantifying the role of biosphere-atmosphere feedback in climate change: Coupled model simulation for 6000 BP and comparisons with palaeodata for other Eurasia and northern Africa. Climate Dyn., 13, 865–882.

    Article  Google Scholar 

  • Wallace, J. M., C. Smith, and C. S. Bretherton, 1992: Singular value decomposition of wintertime sea surface temperature and 500mb height anomalies. J. Climate, 5(6), 561–576.

    Article  Google Scholar 

  • Wang, Z., A.-S. Cochelin, L. A. Mysak, and Y. Wang, 2005: Simulation of the last glacial inception with the green McGill Paleoclimate Model. Geophys. Res. Lett., 32, L12705, doi: 10.1029/2005GL023047.

  • Wei, F., Y. Ding, J. Yang, and R. Wang, 2005: SVD analysis of the relationship between 500 hPa height fields and precipitation fields in rainy season in Northwest China. Arid Meteorology, 23(4), 17–23. (in Chinese)

    Google Scholar 

  • Woodward, F. I., M. R. Lomas, and R. A. Betts, 1998: Vegetation-climate feedbacks in a greenhouse world. Philosophical Transactions of the Royal Society of London(B), 353, 29–38.

    Article  Google Scholar 

  • Wu, H.-B., and L. Wu, 2005: Methods for Diagnosing and Forecasting Climate Variability. Meteorological Press, Beijing, 371pp. (in Chinese)

    Google Scholar 

  • Wu, G.-X., H. Liu, Y. Zhao, and W.-P. Li, 1996: A ninelayer atmospheric general circulation model and its performance. Adv. Atmos. Sci., 13(1), 1–18.

    Article  Google Scholar 

  • Wu, G.-X., X.-H. Zhang, H. Liu, and Y.-Q. Yu, 1997: Global ocean-atmosphere-land system model of LASG(GOALS/LASG) and its performance in simulation study. Quarterly Journal of Applied Meteorology, 8(Suppl.), 15–28. (in Chinese)

    Google Scholar 

  • Yu, Y.-Q., 1997: Design of ocean-sea ice-atmosphere coupling scheme and numerical simulation of interdecadal climate variability. Ph. D. dissertation, Institute of Atmospheric Physics, Chinese Academy of Sciences, 130pp. (in Chinese)

  • Yu, Y.-Q., and X.-H. Zhang, 1998: A modified air-sea flux anomaly coupling scheme. Chinese Science Bulletin, 43, 866–870. (in Chinese)

    Google Scholar 

  • Zhang, J., C. Fu, and X. Yan, 2002: Global respondence analysis of LAI versus surface air temperature and precipitation variations. Chinese Journal of Geophysics, 45(5), 631–637. (in Chinese)

    Google Scholar 

  • Zhang, X., K. Chen, X. Jin, W. Lin, and Y. Yu, 1996: Simulation of thermohaline circulation with a twenty-layer oceanic general circulation model. Theoretical and Applied Climatology, 55(1–4), 65–87.

    Article  Google Scholar 

  • Zheng, Y., G. Yu, and B. Xue, 2004: Simulate of East Asian climate at 6ka B. P.. Quaternary Sciences, 24(1), 28–38. (in Chinese)

    Google Scholar 

Download references

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Authors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, 210044, China

    Hai Zhi  (智 海) & Panxing Wang  (王盘兴)

  2. The National Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China

    Hai Zhi  (智 海), Yongqiang Yu  (余永强) & Weipeng Zheng  (郑伟鹏)

  3. START Regional Center for Temperate East Asia and Key Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China

    Li Dan  (丹 利)

  4. The State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China

    Yongfu Xu  (徐永福)

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  1. Hai Zhi  (智 海)
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  2. Panxing Wang  (王盘兴)
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  3. Li Dan  (丹 利)
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  4. Yongqiang Yu  (余永强)
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  6. Weipeng Zheng  (郑伟鹏)
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Correspondence to Li Dan  (丹 利).

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Zhi, H., Wang, P., Dan, L. et al. Climate-vegetation interannual variability in a coupled atmosphere-ocean-land model. Adv. Atmos. Sci. 26, 599–612 (2009). https://doi.org/10.1007/s00376-009-0599-6

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  • DOI: https://doi.org/10.1007/s00376-009-0599-6

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