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首页> 外文期刊>Hydrology and Earth System Sciences >Elevation correction of ERA-Interim temperature data in complex terrain
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Elevation correction of ERA-Interim temperature data in complex terrain

机译:复杂地形中的ERA-临时温度数据的高程校正

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Air temperature controls a large variety of environmental processes, and isan essential input parameter for land surface models, for example in hydrology,ecology and climatology. However, meteorological networks, which can providethe necessary information, are commonly sparse in complex terrains,especially in high mountainous regions. In order to provide temperature datain an adequate temporal and spatial resolution for local scale applicationsa new elevation correction method has been developed that is able todownscale 3-hourly ERA-Interim temperature data. The scheme is based onmodel internal vertical lapse rates derived from different ERA-Interimpressure levels and has been validated for twelve meteorological stations inthe German and Swiss Alps. The method was also compared with two otherstatistical, lapse rate based correction approaches. The results indicatethat the use of model internal ERA-Interim lapse rates can significantlyimprove the downscaling performance when compared to the standard procedureof using fixed lapse rates.
机译:气温控制着各种各样的环境过程,并且是陆地表面模型(例如水文学,生态学和气候学)的基本输入参数。但是,可以提供必要信息的气象网络通常在复杂的地形中稀疏,特别是在高山地区。为了以适合当地规模应用的足够的时间和空间分辨率提供温度数据,已经开发了一种新的海拔校正方法,该方法可以缩减3小时一次的ERA临时温度数据。该方案基于源自不同ERA中间压力水平的模型内部垂直衰减率,并已在德国和瑞士阿尔卑斯山的12个气象站进行了验证。还将该方法与其他两种基于失误率的统计校正方法进行了比较。结果表明,与使用固定流失率的标准程序相比,使用模型内部ERA临时流失率可以显着改善降尺度性能。

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