利用德国近实时GPS数据估算水蒸气的软件和技术比较

G. Gendt , G. Dick , A. Rius , P. Sedo
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引用次数: 5

摘要

为了提供从GPS地面网络获取的对流层水汽含量以便同化到数值天气预报模式中,GPS数据必须在接近实时的时间内进行分析,其延迟约为一小时。利用德国近实时网络一周的数据,对巴塞罗那IEEC和波茨坦GFZ开发的两个近实时对流层水汽监测处理器进行了比较。综合水汽在1-2毫米可降水量水平上的微小差异反映了两种处理器都满足数值天气预报的要求。因此,处理器的标准化不应该过于严格,以免妨碍软件开发和改进中的富有成效的竞争。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of software and techniques for water vapor estimation using German near real-time GPS data

To deliver tropospheric water vapor contents derived from GPS ground networks for the assimilation into numerical weather prediction models the GPS data have to be analyzed within near real-time with a delay of about one hour. Two near real-time processors for the trophospheric water vapor monitoring developed at IEEC Barcelona and GFZ Potsdam are compared using one week of data acquired in the German near real-time network. The resulting small differences in the integrated water vapor being on the level of 1–2 mm precipitable water vapor reflect that both processors fulfill the requirements for numerical weather predictions. Therefore the standardization for processors should not be too strict not to obstruct a fruitful competition in the software developments and improvements.

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