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An Accurate Height Reduction Model for Zenith Tropospheric Delay Correction Using ECMWF Data

机译:使用ECMWF数据进行天顶对流层延迟校正的精确高度降低模型

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Tropospheric delay is a major error source in geodetic techniques. In recent years, the Numerical Weather Models (NWMs), such as the European Centre for Medium Range Weather Forecasts (ECMWF), have been increasingly used in the atmospheric delay processing of space geodetic observations. It is necessary for the GNSS users to make height reduction for the troposphere products from ECMWF to obtain the accurate Zenith Tropospheric Delay (ZTD). Based on the ECMWF data, a new height reduction model for ZTD called Gaussian function model is proposed, which is suitable for the ZTD correction from ECMWF data. The internal accuracy of the proposed model is 0.9 cm. The validation by the troposphere products of 162 globally distributed IGS stations at 2015 shows that the annual average bias and Root Mean Square error (RMS) of the Gaussian function model are 0.14 and 1.55 cm respectively, and the Gaussian function model is stable throughout the year. The testing results from the ZTD profiles derived from radiosonde data shows that, the Gaussian function model performs well above 5 km height.
机译:对流层延迟是大地测量技术的主要误差来源。近年来,数值天气模型(NWM),例如欧洲中程天气预报中心(ECMWF),已越来越多地用于空间大地观测的大气延迟处理中。 GNSS用户必须降低ECMWF对流层产品的高度,以获得准确的天顶对流层延迟(ZTD)。基于ECMWF数据,提出了一种新的ZTD高度减小模型,即高斯函数模型,该模型适合于ECMWF数据的ZTD校正。所提出模型的内部精度为0.9厘米。 2015年对对流层产品的162个全球IGS台站的对流验证表明,高斯函数模型的年平均偏差和均方根误差(RMS)分别为0.14和1.55 cm,高斯函数模型全年稳定。从无线电探空仪数据得出的ZTD剖面的测试结果表明,高斯函数模型在5 km以上的高度上表现良好。

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