In the frame of the International Association of Geodesy Joint Working Group 2.2.2 “The 1 cm geoid experiment”, terrestrial and airborne gravity datasets along with GPS/leveling data were made available for the comparison of different geoid modeling methods and techniques in the wider area of Colorado, USA. We discuss the methods and procedures we followed for computing gravimetric quasi-geoid and geoid models and geopotential values from the available datasets. The procedures followed were based on the remove-compute-restore approach using XGM2016 as a reference geopotential model. The higher frequencies of the gravity field were computed via the residual terrain correction, using (a) the CGIAR-CSI SRTM digital elevation model with the classical technique and (b) a spectral one. Least-Squares Collocation was used for the downward continuation of the airborne data and for gridding. Finally, the geoid models were obtained by applying Least-Squares Collocation and spherical FFT-based methods, while the influence of the orthometric height correction on geoid heights was taken into account by employing simple and complete Bouguer reductions. All results were evaluated with available GPS/leveling benchmarks. Moreover, potential values were determined in support of the International Height Reference System/Frame. From the results acquired, a final accuracy of 5–7 cm for the determined geoid models was achieved depending on the adopted method and data combination, without considering the accuracy of the GPS/leveling data used for their evaluation. The contribution of the airborne gravity data was deemed as limited in combination solutions although the airborne only solution provided equal level of accuracy to the terrestrial and the combined ones. Better consistency was obtained on the points of the GSVS17 line, when compared to the GPS/leveling data, where an accuracy of 2.4 cm and 2.8 cm was reached for the FFT and LSC based methods, respectively.

在国际大地测量学联合工作组2.2.2“ 1 cm大地水准面实验”的框架内，提供了地面和空中重力数据集以及GPS /水准仪数据，以便在更大范围内比较不同的大地水准面建模方法和技术。美国科罗拉多州的地区。我们讨论了从可用数据集中计算重力准大地水准和大地水准面模型和地势值所遵循的方法和程序。遵循的过程基于使用XGM2016作为参考地势模型的remove-compute-restore方法。使用（a）采用经典技术的CGIAR-CSI SRTM数字高程模型和（b）频谱技术，通过残余地形校正计算重力场的较高频率。最小二乘搭配用于机载数据的向下延续和网格化。最后，通过应用最小二乘搭配和基于球面FFT的方法获得了大地水准面模型，同时通过采用简单而完整的布格减法来考虑了正高校正对大地水准面的影响。所有结果均使用可用的GPS /水准仪基准进行了评估。此外，在国际高度参考系统/框架的支持下确定了潜在值。根据获得的结果，所确定的大地水准面模型最终精度为5–7 cm，这取决于所采用的方法和数据组合，而没有考虑用于评估的GPS /水准仪数据的精度。空中重力数据的贡献在组合解决方案中被认为是有限的，尽管仅机载解决方案为地面和组合解决方案提供了相同水平的精度。与GPS /水准仪数据相比，GSVS17线上的点具有更好的一致性，其中基于FFT和LSC的方法分别达到2.4 cm和2.8 cm的精度。