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首页> 外文期刊>Hydrology and Earth System Sciences >Inter-comparison of two land-surface models applied at different scales and their feedbacks while coupled with a regional climate model
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Inter-comparison of two land-surface models applied at different scales and their feedbacks while coupled with a regional climate model

机译:两种比较不同规模的陆地表面模型的比较,以及它们的反馈,同时还结合了区域气候模型

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Downstream models are often used in order to study regional impacts ofclimate and climate change on the land surface. For this purpose, they areusually driven offline (i.e., 1-way) with results from regional climatemodels (RCMs). However, the offline approach does not allow for feedbacksbetween these models. Thereby, the land surface of the downstream model isusually completely different to the land surface which is used within theRCM. Thus, this study aims at investigating the inconsistencies that arisewhen driving a downstream model offline instead of interactively coupledwith the RCM, due to different feedbacks from the use of different landsurface models (LSM). Therefore, two physically based LSMs which developedfrom different disciplinary backgrounds are compared in our study: while theNOAH-LSM was developed for the use within RCMs, PROMET was originallydeveloped to answer hydrological questions on the local to regional scale.Thereby, the models use different physical formulations on different spatialscales and different parameterizations of the same land surface processesthat lead to inconsistencies when driving PROMET offline with RCM output.Processes that contribute to these inconsistencies are, as described in thisstudy, net radiation due to land use related albedo and emissivity differences, theredistribution of this net radiation over sensible and latent heat, for example, dueto different assumptions about land use impermeability or soil hydraulicreasons caused by different plant and soil parameterizations. As a result,simulated evapotranspiration, e.g., shows considerable differences of max. 280 mm yr?1. For a full interactive coupling (i.e., 2-way) between PROMET and theatmospheric part of the RCM, PROMET returns the land surface energy fluxesto the RCM and, thus, provides the lower boundary conditions for the RCMsubsequently. Accordingly, the RCM responses to the replacement of the LSMwith overall increased annual mean near surface air temperature (+1 K) andless annual precipitation (?56 mm) with different spatial and temporalbehaviour. Finally, feedbacks can set up positive and negative effectson simulated evapotranspiration, resulting in a decrease of evapotranspiration South of the Alps amoderate increase North of the Alps. The inconsistencies are quantified andaccount for up to 30% from July to Semptember when focused to an area around Milan, Italy.
机译:通常使用下游模型来研究气候和气候变化对陆地表面的区域影响。为此,通常使用区域气候模型(RCM)的结果将其离线(即1路)行驶。但是,离线方法不允许这些模型之间的反馈。因此,下游模型的陆地表面通常与RCM中使用的陆地表面完全不同。因此,本研究旨在调查由于使用不同的地表模型(LSM)而产生的不同反馈导致离线驱动下游模型而不是与RCM交互耦合时出现的不一致性。因此,在我们的研究中,我们比较了两个基于不同学科背景的基于物理的LSM:虽然开发NOAH-LSM是为了在RCM中使用,但PROMET最初是为回答局部到区域规模的水文问题而开发的,因此,模型使用了不同的物理在同一土地表面过程的不同空间尺度和不同参数设置下,导致带RCM输出的PROMET离线驱动时出现不一致的情况。如本研究所述,导致这些不一致的过程是由于与土地利用相关的反照率和发射率差异而导致的净辐射。例如,由于对不同的植物和土壤参数设置导致的土地利用不可渗透性或土壤水力原因的不同假设,导致净辐射在显热和潜热上的变化很大。结果,模拟的蒸散量显示出极大的差异。 280毫米yr ?1 。对于PROMET和RCM大气部分之间的完全交互式耦合(即2方向),PROMET将陆面能量通量返回到RCM,从而为RCM提供了较低的边界条件。因此,RCM对LSM的替换具有不同的时空行为,其总体年平均近地表气温(+1 K)和较少的年降水量(?56 mm)有所增加。最后,反馈可以对模拟的蒸散量产生正向和负向影响,导致阿尔卑斯山以南的蒸散量减少,而阿尔卑斯山以北的温和增加。重点放在意大利米兰周围地区时,对不一致的情况进行了量化,从7月到Semptember最多占30%。

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