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将稳定同位素作为诊断工具引入CLM(Community Land Model),并对巴西马瑙斯站在平衡年的不同水体中稳定同位素的季节变化进行了模拟和分析,旨在通过对陆面过程中稳定水同位素的模拟试验,了解陆面过程中稳定水同位素的循环过程,以补充观测资料之缺乏,并最终利用稳定同位素的变化特性进行水文气象过程的预测.模拟的结果表明,降水、水汽和地表径流中的δ18O均存在显著的季节性变化,并与相应的水量存在反比关系.与IAEA/WMO监测数据相比,CLM的模拟基本上揭示了降水中δ18O的实际分布特征.另外,模拟的月降水量与月δ18O之间的降水量效应以及大气水线(MWL)均接近实际状况.这在一定程度上说明,引入稳定同位素效应的CLM的模拟是合理的.但也看到,模拟的降水中δ18O的季节差异明显小于实际值,降水中δ18O的季节变化展示了赤道地区理想的双峰型特点,但实际的分布却是单峰型.这些差异的产生可能与CLM本身的模拟能力有关,也可能与强迫资料的准确性有关.
The stable isotope was introduced into CLM (Community Land Model) as a diagnostic tool, and the seasonal variations of stable isotopes in different waters of Manaus in Brazil during the balance year were simulated and analyzed. The aim was to improve the stability of water isotopes , We can know the cyclic process of stable water isotopes in land surface to supplement the lack of observed data and finally predict the hydro-meteorological process by using the characteristics of stable isotopes.The simulation results show that the precipitation, water vapor and surface runoff There is a significant seasonal variation in δ18O and inversely proportional to the amount of water.Compared with IAEA / WMO monitoring data, CLM simulation basically reveals the actual distribution of δ18O in precipitation.In addition, the simulated monthly precipitation And the monthly δ18O precipitation effect and the atmospheric water line (MWL) are close to the actual situation.This to some extent shows that the introduction of stable isotope effect of the CLM simulation is reasonable.However, we also see that the simulated rainfall δ18O The seasonal variation of δ18O in precipitation shows the ideal bimodal characteristics in the equatorial regions, but the actual distribution Single peak. These differences may be related to CLM simulation capability itself, it may also be related to the accuracy of forcing data.