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首页> 外文期刊>Agricultural and Forest Meteorology >Comparison of Noah simulations with eddy covariance and soil water measurements at a winter wheat stand
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Comparison of Noah simulations with eddy covariance and soil water measurements at a winter wheat stand

机译：冬小麦展台Noah模拟与涡动协方差和土壤水分测量的比较

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a- The phenological development of crops needs to be considered in Noah LSM simulations. a- The method for closing the energy balance gap of EC flux data is crucial. a- The Noah LSM tends to deplete the soil water profile uniformly. Weather and climate simulations are critically dependent on an accurate representation of land surface exchange processes. The present study tests the performance of the Noah land surface model (LSM) for energy partitioning and soil water dynamics on a winter wheat stand in southwest Germany. The model was parameterized field-specifically, i.e., data on leaf area index, green vegetation fraction, albedo, and soil texture were derived from measurements, and tested against a set of eddy covariance (EC) and soil water data collected in the 2009 season. With respect to energy partitioning, the field-specific parameterization performed fairly well during the main vegetation period. During ripening, starting in mid-July until harvest on 6 August, however, the sensible heat flux was distinctly underestimated. In August, the bias increased to a degree 105.5Wma degree 2. As a consequence, evapotranspiration was overestimated during this period. After introducing a time-variable minimum stomatal resistance (R c,min), the model performed much better. The model also delivered acceptable results during crop maturing. The Noah LSM was unable to simulate the observed soil water dynamics. While the measured soil water content profiles showed a distinct gradient with depth, the Noah LSM tended to deplete the soil profile uniformly. Our study shows that for cereal-dominated croplands phenology and crop development play a crucial role in energy partitioning, especially during the ripening stage. Disregarding the dynamics of the physiological properties of the crops in the Noah LSM leads to significant bias in energy partitioning. Finally, we critically discuss the current approach to correct measured EC flux data for the energy residual based on the Bowen ratio with regard to LSM calibration and performance.
机译：a-在Noah LSM模拟中需要考虑作物的物候发展。 a-弥合EC通量数据的能量平衡差距的方法至关重要。 a- Noah LSM倾向于均匀地消耗土壤水分。天气和气候模拟在很大程度上取决于对地表交换过程的准确表示。本研究测试了德国西南部冬小麦林地上诺阿地表模型（LSM）在能量分配和土壤水分动力学方面的性能。对该模型进行特定于字段的参数化，即，从测量值中获取叶面积指数，绿色植被分数，反照率和土壤质地的数据，并针对一组2009年季节收集的涡度协方差（EC）和土壤水分数据进行测试。关于能量分配，特定领域的参数化在主要植被时期表现良好。在成熟期间，从7月中旬开始直到8月6日收获，显热通量明显被低估了。在8月，偏差增加到105.5Wma 2级。结果，在此期间，蒸散量被高估了。引入随时间变化的最小气孔阻力（R c，min）之后，该模型的性能要好得多。该模型在农作物成熟期间也提供了可接受的结果。 Noah LSM无法模拟观察到的土壤水分动力学。虽然测得的土壤水分剖面显示出随深度的明显梯度，但Noah LSM倾向于均匀地消耗土壤剖面。我们的研究表明，对于以谷物为主的农田，物候和作物生长在能量分配中起着至关重要的作用，尤其是在成熟阶段。在Noah LSM中忽略作物生理特性的动态会导致能量分配的明显偏差。最后，我们就基于LSM校准和性能的鲍文比，严格讨论当前的方法以校正测得的EC能量残差的EC通量数据。

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