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

作　　者：ZHANG XinPing WANG XiaoYun YANG ZongLiang NIU GuoYue Xie ZiChu 

机构地区：[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

出　　处：《Chinese Science Bulletin》2009年第10期1765-1772,共8页

基　　金：Supported by National Natural Science Foundation of China (Grant Nos. 40871094, 40775020 and 40871043);Construct Program of the Key Discipline in Hunan Province (Grant No. 2008001)

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.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.

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 

分 类 号：P597.2[天文地球—地球化学] O643.36[天文地球—地质学]