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Comparing results of a remote sensing driven interception-infiltration model for regional to global applications with ECMWF data

机译:利用ECMWF数据比较区域和全球应用的遥感驱动的拦截入渗模型的结果

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We present results of a remote sensing based modelling approach to simulate the 1D water transport in the vadose zone of unsaturated soils on a daily basis, which can be used for regional to global applications. To calculate the hydraulic conductivity our model is driven by van Genuchten parameters, which we calculated for Bavaria (South-East-Germany), which we choose as area of investigation, using the ISRIC-WISE Harmonized Global Soil Profile Dataset Ver. 3.1 and the Rosetta programme. Soil depth and layering of up to six layers were defined independently for each soil. Interception by vegetation is also considered by using Leaf Area Index (LAI) time series from SPOT-VEGETATION. Precipitation is based on daily time series from the European Centre for Medium-Range Weather Forecasts (ECMWF). The model was applied to the Biosphere Energy Transfer Hydrology (BETHY/DLR) vegetation model, driven at the German Aerospace Center (DLR), to discuss the possibility of regionalization of a global model concept, regarding the soil water budged. Furthermore we compare our results with ECMWF data and discuss the results for the state of Bavaria. We found a good agreement for the general characteristics of our results with this dataset, especially for soils which are close to the standard characteristics of the ECMWF. Disagreements were found for shallow soils and soils under stagnant moisture, which are not considered in the ECMWF modelling scheme, but are distinguished in our approach.
机译:我们提出了一种基于遥感的建模方法的结果,该方法每天模拟不饱和土壤渗流带中的一维水运移,可用于区域乃至全球应用。为了计算水力传导率,我们的模型由van Genuchten参数驱动,该参数是我们使用ISRIC-WISE统一全球土壤剖面数据集Ver.1为巴伐利亚(东南德国)计算的,我们选择该参数作为研究区域。 3.1和Rosetta程序。对于每种土壤,分别定义了土壤深度和最多六层的分层。还可以通过使用SPOT-VEGETATION中的叶面积指数(LAI)时间序列来考虑植被的拦截。降水基于欧洲中型天气预报中心(ECMWF)的每日时间序列。该模型被应用于由德国航空航天中心(DLR)驱动的生物圈能量转移水文学(BETHY / DLR)植被模型,以讨论关于土壤水散发的全球模型概念区域化的可能性。此外,我们将结果与ECMWF数据进行了比较,并讨论了巴伐利亚州的结果。我们使用该数据集发现了我们的结果的一般特征,尤其是对于接近ECMWF标准特征的土壤,这是一个很好的协议。发现浅层土壤和水分停滞的土壤存在分歧,这在ECMWF建模方案中没有考虑,但在我们的方法中有所区别。

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