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Simulations of seasonal variations of stable water isotopes in land surface process model CLM

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分类：P597.2[天文地球—地球化学;天文地球—地质学] O643.36[理学—物理化学;理学—化学]
作者机构：[1]College of Resources and Environmental Sciences, Hunan Normal University, Changsha 410081, China, [2]Qingdao Meteorological Bureau, Qingdao 266003, China, [3]Department of Geol-ogical Sciences, the University of Texas at Austin, Texas 78721-0254, USA
相关基金：Supported by National Natural Science Foundation of China （Grant Nos. 40871094, 40775020 and 40871043） and Construct Program of the Key Discipline in Hunan Province （Grant No. 2008001）.
相关项目：我国西南地区降水中稳定同位素的代表性及影响机制研究

关键词：稳定同位素, 交联蒙脱土, 模拟分析, 过程模型, 水库, 季节变化, 国际原子能机构, 季节性差异, stable water isotope, CLM, simulation, amount effect, seasonal variation

中文摘要：

在这研究，我们在 Manaus 在不同水库模仿了并且分析稳定的水同位素的每月的变化，巴西，用社区陆地模型( CLM )，那为理解稳定的水作为一个诊断工具合并稳定的同位素的效果同位素的过程，充满观察数据差距并且预言水象学的过程。模拟结果证明 δ ¹⁸ 在降水，蒸汽和表面流量的 O 价值与与相应的水的显著否定关联有不同 seasonality 数量。与由在有世界气象学的组织(世界气象组织) 的合作的国际原子能机构(国际原子能机构) 的调查结果相比，由 CLM 的模拟揭示 δ ¹⁸ 在降水的 O。而且，在每月的 δ ¹⁸ O 和每月的降水数量，和 MWL (大气的水线) 都离测量价值靠近。然而，在 δ ¹⁸ 在降水的 O 比观察的，和 δ ¹⁸ 在降水的 O 显示理想的双性人形式的 seasonality 而非观察单个 seasonality。这些失配是可能与在强迫数据的模拟能力和诚实有关。

英文摘要：

In this study, we simulated and analyzed the monthly variations of stable water isotopes in different reservoirs at Manaus, Brazil, using the Community Land Model （CLM） that incorporates stable isotopic effects as a diagnostic tool for understanding stable water isotopic processes, filling the observational data gaps and predicting hydrometeorological processes. The simulation results show that the δ^18O values in precipitation, vapor and surface runoff have distinct seasonality with the marked negative correlations with corresponding water amount. Compared with the survey results by the International Atomic Energy Agency （IAEA） in co-operation with the World Meteorological Organization （WMO）, the simulations by CLM reveal the similar temporal distributions of the δ^18O in precipitation. Moreover, the simulated amount effect between monthly δ^18O and monthly precipitation amount, and MWL （meteoric water line） are all close to the measured values. However, the simulated seasonal difference in the δ^18O in precipitation is distinctly smaller than observed one, and the simulated temporal distribution of the δ^18O in precipitation displays the ideal bimodal seasonality rather than the observed single one. These mismatches are possibly related to the simulation capacity and the veracity in forcing data.

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