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首页> 外文期刊>Meteorology and Atmospheric Physics >An integrated approach for the determination of regional evapotranspiration using mesoscale modelling, remote sensing and boundary layer measurements
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An integrated approach for the determination of regional evapotranspiration using mesoscale modelling, remote sensing and boundary layer measurements

机译:使用中尺度建模,遥感和边界层测量来确定区域蒸散量的综合方法

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摘要

A method is presented for the calculation of regional evapotranspiration by means of mesoscale modelling using the "Lokal-Modell" (LM) of the German Weather service with 2.8 km horizontal resolution. The shortcomings of the model with respect to thequantitative simulation of cloudiness and precipitation are overcome by the assimilation of precipitation and insolation (derived by radar and METEOSAT data, respectively) into the SVAT module of the LM. Three case studies are presented in order to quantify the influence of the assimilation on the simulated evapotranspiration process. The simulations are validated using ground-based measurements of surface layer quantities, turbulent fluxes and boundary layer structures. Different methods for the determination of the turbulent flux of latent heat are intercompared. Simulated surface energy fluxes are strongly influenced by the assimilation, which highly improves the results for the evapotranspiration field in the case of a strong rain event. The validation studies for cases under fair weather conditions show large uncertainties in the simulated energy fluxes. The sensitivity with respect to the soil moisture content is investigated. An artificially increased soil moisture results in a significantly better representation of the turbulent fluxes in the LM, but the agreement with simultaneously measured boundary layer structures is reduced.
机译:提出了一种方法,该方法通过使用德国气象局的“ Lokal-Modell”(LM)以2.8 km的水平分辨率通过中尺度建模来计算区域蒸散量。通过将降水和日照(分别由雷达和METEOSAT数据推导)同化到LM的SVAT模块中,克服了该模型在多云和降水的定量模拟方面的缺点。提出了三个案例研究,以量化同化对模拟蒸散过程的影响。使用地面对表层数量,湍流和边界层结构的测量来验证仿真。比较了确定潜热湍流的不同方法。模拟的表面能通量受同化作用的强烈影响,在强降雨事件下,极大地改善了蒸散场的结果。在晴天条件下的案例验证研究表明,模拟的能量通量存在很大的不确定性。研究了对土壤水分含量的敏感性。人为增加的土壤水分会明显改善LM中的湍流,但与同时测量的边界层结构的一致性却降低了。

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