GOCO05c: A New Combined Gravity Field Model Based on Full Normal Equations and Regionally Varying Weighting
GOCO05c: A New Combined Gravity Field Model Based on Full Normal Equations and Regionally Varying Weighting
复制标题
DOI：
10.1007/s10712-016-9406-y
复制
发表时间：
2017-01
影响因子：
4.6
通讯作者：
T. Fecher;R. Pail;T. Gruber;the Goco Consortium
中科院分区：
文献类型：
--
作者：
T. Fecher;R. Pail;T. Gruber;the Goco Consortium
GOCO05c是一个重力场模型，它是一个卫星模型和全球重力异常数据集的组合解。它被分解到720阶和720阶。这是第一个应用区域变化加权的模型。由于这导致所有重力场参数之间的强相关性，因此必须通过应用高性能计算来严格求解大小为2TB的完整正规方程系统。GOCO 05 c是第一个独立于EGM 2008的包含GOCE整个使命期间数据的组合重力场模型。GOCO05c的性能通过全球导航卫星系统水准测量比较、轨道测试和平均动态地形计算进行外部验证，至少达到现有高分辨率模型的质量。结果表明，额外的GOCE信息是非常有益的，在观测不足的地区，由于个别数据的加权方案的光谱和空间一致性的模型显着提高。由于在特定区域使用填充数据，该模型不能用于这些区域的物理解释。
GOCO05c is a gravity field model computed as a combined solution of a satellite-only model and a global data set of gravity anomalies. It is resolved up to degree and order 720. It is the first model applying regionally varying weighting. Since this causes strong correlations among all gravity field parameters, the resulting full normal equation system with a size of 2 TB had to be solved rigorously by applying high-performance computing. GOCO05c is the first combined gravity field model independent of EGM2008 that contains GOCE data of the whole mission period. The performance of GOCO05c is externally validated by GNSS–levelling comparisons, orbit tests, and computation of the mean dynamic topography, achieving at least the quality of existing high-resolution models. Results show that the additional GOCE information is highly beneficial in insufficiently observed areas, and that due to the weighting scheme of individual data the spectral and spatial consistency of the model is significantly improved. Due to usage of fill-in data in specific regions, the model cannot be used for physical interpretations in these regions.