Precise Determination of Dry Zenith Delay for GPS Meteorology Applications
Precise Determination of Dry Zenith Delay for GPS Meteorology Applications
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发表时间：
2000
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通讯作者：
Liu Yan
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作者：
Liu Yan
干燥天顶延迟 (DZD) 的确定对于从 GPS 气象学中的 GPS 解决方案中分离水蒸气含量非常重要。现有模型通常无法高精度地满足这一需求。在本研究中，我们使用无线电探空仪数据校准了三种流行的 DZD 模型，即 Saastamoinen、Hopfield 和 Black 模型，用于本地 GPS 气象应用。我们通过将校准模型的预测延迟与解决方案中未包含的无线电探空仪数据观察到的延迟进行比较来测试模型。一个月内，经过校准的模型比未经校准的模型预测平均提高了 98%。将一个月内 GPS 测量计算出的 DZD 与校准和未校准模型预测进行比较，结果显示，校准模型的一致性平均好 96%。
Determination of dry zenith delay, DZD, is important for separating water vapor content from GPS solutions in GPS meteorology. The existing models usually cannot meet this need with high accuracy. In this study, we calibrated three popular DZD models namely Saastamoinen, Hopfield and Black models for local GPS meteorology application using radiosonde data. We test the models by comparing the predicted delays from the calibrated models against the observed delays from radiosonde data that are not included in the solution. Calibrated models on the average show 98 pc improvement over the uncalibrated model predictions over one month period. A comparison of the DZDs calculated from GPS measurements over a month period with calibrated and uncalibrated model prediction shows, on the average, 96 pc better agreement for the calibrated models.