Software developed for obtaining GPS‐derived total electron content values
Software developed for obtaining GPS‐derived total electron content values
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DOI：
10.1029/2006rs003452
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发表时间：
2007-04
期刊：
影响因子：
1.6
通讯作者：
Ildiko Horvath;Stuart Crozier
中科院分区：
文献类型：
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作者：
Ildiko Horvath;Stuart Crozier
本文描述了一种复杂的技术及其内置的周跳校正程序，该技术已为电离层空间研究开发，以获得高质量和高精度的GPS总电子含量(TEC)值。因此，如何在保留30-S双频GPS数据空间天气特征的同时纠正异常，是该技术的主要目的。它的主要要求是完全自动完成将观测数据转换为所需最终产品所需的所有任务。它的主要任务包括曲线拟合、倾斜相对TEC数据的周跳检测和校正、垂直TEC数据的残差检测和校正、以及用于量化数据平滑和GPS相位起伏的垂直TEC数据滤波。对这两种数据校正方法进行了详细的描述。还包括并讨论了显示所开发方法的缺点和优点的验证测试。这些方法的通用性和准确性通过从平滑的中纬度和动态的低纬和高纬数据获得的有趣的真实世界的例子得到了证明。结果表明，由于垂直TEC在30个S采样周期内的变化率较低，垂直TEC数据比倾斜TEC数据能够更可靠地检测和改正误差。未来的工作包括开发一个复杂的软件包，其中本文描述的各个FORTRAN算法将被合并到一个主程序(FORTRAN、MatLab或C++)中，为电离层空间研究提供专业和定制的GPS数据处理。
This paper describes a complex technique with its built‐in cycle slip correction procedures that have been developed for ionospheric space research to obtain high‐quality and high‐precision GPS‐derived total electron content (TEC) values. Thus, to correct GPS anomalies while the signatures of space weather features detected in the dual‐frequency 30‐s rate GPS data are preserved is the main aim of this technique. Its main requirement is to complete fully automatically all the tasks required to turn the observational data to the desired final product. Its major tasks include curve fitting, cycle slip detection and correction in the slant relative TEC data, residual error detection and correction in the vertical TEC data, and vertical TEC data filtering for quantifying data smoothness and GPS phase fluctuations. A detailed description of these two data correction methods is given. Validation tests showing weaknesses and strengths of the methods developed are also included and discussed. Versatility and accuracy of the methods are demonstrated with interesting and real‐world examples obtained from smooth midlatitude and from dynamic low‐ and high‐latitude data. Results indicate that errors can be detected and corrected more reliably in the vertical TEC data than in the slant TEC data because of the lower rate of change of vertical TEC over a 30‐s sampling period. Future work includes the development of a complex software package wherein the individual FORTRAN algorithms, described in this paper, will be incorporated into one main (FORTRAN, Matlab, or C++) program to provide professional and customized GPS data processing for ionospheric space research.