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首页> 外文期刊>Journal of hydrometeorology >Investigation of the Sensitivity of Water Cycle Components Simulated by the Canadian Regional Climate Model to the Land Surface Parameterization, the Lateral Boundary Data, and the Internal Variability
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Investigation of the Sensitivity of Water Cycle Components Simulated by the Canadian Regional Climate Model to the Land Surface Parameterization, the Lateral Boundary Data, and the Internal Variability

机译:由加拿大区域气候模型模拟的水循环分量对陆地表面参数化,横向边界数据和内部变率的敏感性研究

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This study investigates the sensitivity of components of the hydrological cycle simulated by the Canadian Regional Climate Model (CRCM) to lateral boundary forcing, the complexity of the land surface scheme (LSS), and the internal variability arising from different models' initial conditions. This evaluation is a contribution to the estimation of the uncertainty associated to regional climate model (RCM) simulations. The analysis was carried out over the period 1961-99 for three North American watersheds, and it looked at climatological seasonal means, mean (climatological) annual cycles, and interanual variability. The three watersheds - the Mississippi, the St. Lawrence, and the Mackenzie River basins - were selected to cover a large range of climate conditions. An evaluation of simulated water budget components with available observations was also included in the analysis. Results indicated that the response of climatological means and annual cycles of water budget components to land surface parameterizations and lateral boundary conditions varied from basin to basin. Sensitivity to lateral boundary conditions is, in general, smaller than sensitivity to LSS and tends to be stronger for the northern basins (Mackenzie and St. Lawrence). Interannual variability was unaffected by changes in LSS and in driving data. Internal variability triggered by different initial conditions and the nonlinear nature of the climate model did not significantly affect either the 39-yr climatology, the climatological annual cycles, or the interannual variability. A comparison with observations suggests that although the simple Manabe-based LSS may be adequate for simulations of climatological means, skillful simulation of annual cycles require the use of a state-of-the-art LSS.
机译:这项研究调查了由加拿大区域气候模型(CRCM)模拟的水文循环组成部分对侧向边界强迫的敏感性,陆地表面方案(LSS)的复杂性以及不同模型初始条件引起的内部变化。该评估有助于估计与区域气候模型(RCM)模拟相关的不确定性。该分析是在1961-99年间对三个北美流域进行的,分析了气候季节平均值,平均(气候)年周期和年际变化。选择了三个流域-密西西比河,圣劳伦斯河和麦肯齐河流域-涵盖了大范围的气候条件。分析中还包括对模拟水预算组成部分的评估以及可用的观察结果。结果表明,气候手段和水预算要素的年周期对地表参数化和侧向边界条件的响应因流域而异。通常,对侧向边界条件的敏感性小于对LSS的敏感性,并且在北部盆地(Mackenzie和St. Lawrence)倾向于更高。 LSS和驾驶数据的变化不影响年际变化。由不同的初始条件和气候模型的非线性性质触发的内部变异性不会显着影响39年气候,气候年度周期或年际变异性。与观察结果的比较表明,尽管基于Manabe的简单LSS可能足以模拟气候手段,但要熟练地模拟年周期,就需要使用最新的LSS。

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