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High precision gravity analysis and hydrological modeling from the Lunar Laser Ranging Observatory at Apache Point, New Mexico.

机译:来自新墨西哥州阿帕基点的月球激光测距天文台的高精度重力分析和水文建模。

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摘要

The NASA-supported Lunar Laser Ranging project (LLR) is located at Apache Point, New Mexico, which strives to precisely measure the orbital distance between the Earth and the Moon in an accuracy of a few millimeters. To archive this objective, LLR project requires precise data on local ground deformation, which is difficult to measure directly. However, the high precision gravity data is the reflection of vertical ground deformation of the Earth, therefore the gravity data is able to contribute to the LLR project. Gravity time series is affected by Earth tides, atmospheric pressure, polar motion, and the most critical effect, local hydrology. In order to isolate pure geodetic variation, these effects must be removed from the data. Thus, the goal of this research is to create models of above effects, especially local hydrology model, in order to isolate the vertical deformation signal. The Earth tides, atmospheric pressure and polar motion effects have been modeled and subtracted from gravity data (2009~2012). The local hydrological model has been created based on the in-situ data, which are rainfall, snowfall and temperature. The correlation coefficient and RMS misfit between the hydrological model and gravity residual (2010~2012) is 0.92 and 1.26 microGal. The instrument drift corrections in 2009 have been reanalyzed after comparing with some global hydrological models. The gravity residual from new corrections showed a correlation coefficient of 0.76 and RMS misfit of 1.25 microGal. The isolated deformation signal was obtained after we subtracted the hydrological effects, and the results can be used for further modeling.
机译:NASA支持的月球激光测距项目(LLR)位于新墨西哥州的Apache Point,该项目致力于以几毫米的精度精确测量地球与月球之间的轨道距离。为了存档该目标,LLR项目需要有关局部地面变形的精确数据,而这些数据很难直接测量。但是,高精度重力数据是地球垂直地面变形的反映,因此重力数据能够为LLR工程做出贡献。重力时间序列受潮汐,大气压力,极运动和最关键的影响,即当地水文学的影响。为了隔离大地变化,必须从数据中删除这些影响。因此,本研究的目的是建立上述效应的模型,特别是局部水文模型,以隔离垂直变形信号。对地球潮汐,大气压力和极运动效应进行了建模,并从重力数据(2009〜2012)中减去了这些数据。基于降雨,降雪和温度等原位数据创建了当地水文模型。水文模型与重力残差(2010〜2012)的相关系数和RMS失配分别为0.92和1.26 microGal。在与一些全球水文模型比较之后,重新分析了2009年的仪器漂移校正。来自新校正的重力残差显示相关系数为0.76,RMS失配值为1.25 microGal。在减去水文影响后获得孤立的变形信号,其结果可用于进一步的建模。

著录项

  • 作者

    Liang, Jiahao.;

  • 作者单位

    Saint Louis University.;

  • 授予单位 Saint Louis University.;
  • 学科 Geophysics.;Hydrology.
  • 学位 M.S.
  • 年度 2014
  • 页码 73 p.
  • 总页数 73
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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