This paper studies the contribution of airborne gravity data to improvement of gravimetric geoid modelling across the mountainous area in Colorado, USA. First, airborne gravity data was processed, filtered, and downward-continued. Then, three gravity anomaly grids were prepared; the first grid only from the terrestrial gravity data, the second grid only from the downward-continued airborne gravity data, and the third grid from combined downward-continued airborne and terrestrial gravity data. Gravimetric geoid models with the three gravity anomaly grids were determined using the least-squares modification of Stokes’ formula with additive corrections (LSMSA) method. The absolute and relative accuracy of the computed gravimetric geoid models was estimated on GNSS/levelling points. Results exhibit the accuracy improved by 1.1 cm or 20% in terms of standard deviation when airborne and terrestrial gravity data was used for geoid computation, compared to the geoid model computed only from terrestrial gravity data. Finally, the spectral analysis of surface gravity anomaly grids and geoid models was performed, which provided insights into specific wavelength bands in which airborne gravity data contributed and improved the power spectrum.

本文研究了航空重力数据对改善美国科罗拉多州山区重力大地水准面模型的贡献。首先，对航空重力数据进行处理，过滤和向下连续处理。然后，准备了三个重力异常网格。第一个网格仅来自地面重力数据，第二个网格仅来自向下连续的空中重力数据，第三个网格来自向下连续的空中重力和地面重力数据的组合。使用斯托克斯公式的最小二乘修正和附加校正（LSMSA）方法，确定具有三个重力异常网格的重力水准模型。在GNSS /水准点上估计了计算出的水准大地水准面模型的绝对和相对精度。结果显示精度提高了1。与仅根据地面重力数据计算得出的大地水准面模型相比，使用空中和地面重力数据进行大地水准面计算时，标准差为1 cm或20％。最后，对表面重力异常网格和大地水准面模型进行了光谱分析，从而提供了对特定波长带的见解，在这些波长带中，机载重力数据有助于并改善了功率谱。