简要介绍了EGM2008地球重力场模型，利用分布于我国东部平原地区，中部丘陵地带和西部高原山区的4个测量项目的数据，对EGM2008地球重力场模型的精度进行了分析，并对该模型在不同地形条件下的应用方法进行了探索。

全球重力场模型下载 EGM2008.gfc重力场模型数据下载

XGM2019e is a combined global gravity field model represented through spheroidal harmonics up to d/o 5399, corresponding to a spatial resolution of 2’ (~4 km). As data sources it includes the satellite model GOCO06s in the longer wavelength area combined with terrestrial measurements for the shorter wavelengths. The terrestrial data itself consists over land and ocean of gravity anomalies provided by courtesy of NGA (identical to XGM2016, having a resolution of 15’) augmented with topographically derived gravity over land (EARTH2014). Over the oceans, gravity anomalies derived from satellite altimetry are used (DTU13, in consistency with the NGA dataset). The combination of the satellite data with the terrestrial observations is performed by using full normal equations up to d/o 719 (15’). Beyond d/o 719, a block-diagonal least-squares solution is calculated for the high-resolution terrestrial data (from topography and altimetry). All calculations are performed in the spheroidal harmonic domain. In the spectral band up to d/o 719 the new model shows over land a slightly improved behavior over preceding models such as XGM2016, EIGEN6c4 or EGM2008 when comparing it to independent GPS leveling data. Over land and in the spectral range above d/o 719 the accuracy of XGM2019e slightly suffers from the sole use oftopographic forward modelling; Hence, errors are increased in well-surveyed areas compared to models containing real gravity data, e.g. EIGEN6c4 or EGM2008. However, the performance of XGM2019e can be considered as globally more homogeneous and independent from existing high resolution global models. Over the oceans the model exhibits an improved performance throughout the complete spectrum (equal or better than preceding models).

matlab中inv的函数代码 这个库是我在学习UBC-GIF的重磁三维反演时候的一些笔记和代码 mark Introduction 整个GravForMedeling3D文件夹是从github clone过来的，不知道为什么无法显示原作者信息。 clone地址： 主要目的 建立反演数据的格式化--为了便于paraview成图。 修改及增加 增加density_add_coordinate.m函数，用来给密度模型增加空间网格信息，注意由于密度是建立在一个cell里面的，所以空间的坐标取的是cell中点的坐标。这个m文件与GravForMedeling3D文件夹里面的Mesh3D.m功能一样，但是适应性更强，适应v5.1的mesh格式。 translate目录下面是几个sh脚本， cpgra.sh是用来把inv目录下反演最后一次迭代得到的密度和预测文件copy到output，并分别命名为gravity_density.txt和gravity_prediction.txt format_density.m调用了density_add_coordinate.m函数，并且不启动matlab界面

天文与重力测量报告(1).docx

单摆实验是个经典实验，许多著名的物理学家都对单摆实验进行过细致的研究。本实验的目的是进行简单设计性实验基本方法的训练，根据已知条件和测量精度的要求，学会应用误差均分原则选用适当的仪器和测量方法，学习累积放大法的原理和应用，分析基本误差的来源，提出进行修正和估算的方法。 一、实验目的 （1）掌握利用单摆测定重力加速度的原理和方法。 （2）学习长度、时间的测量与处理。

重力场模型 matlab 详细文件 有解释 很好懂 EGC12008的数据

将Unity原始不受控制的物理系统使用一个模拟重力的方式进行斜抛等操作，在其落地瞬间将模拟的重力还原给Unity的原始重力，从而达到可任意抛物线移动的物理系统

第三章-第二节-重力测量仪器.

_基于三轴重力加速度传感器的机器人状态检测.docx