涂弋, 陆洋, 张子占, 史红岭, 杜宗亮, 高春春, 朱传东. 利用GRACE资料构造大尺度时变重力场统一模型[J]. 武汉大学学报 ( 信息科学版), 2016, 41(8): 1100-1106. DOI: 10.13203/j.whugis20140303
引用本文: 涂弋, 陆洋, 张子占, 史红岭, 杜宗亮, 高春春, 朱传东. 利用GRACE资料构造大尺度时变重力场统一模型[J]. 武汉大学学报 ( 信息科学版), 2016, 41(8): 1100-1106. DOI: 10.13203/j.whugis20140303
TU Yi, LU Yang, ZHANG Zizhan, SHI Hongling, DU Zongliang, GAO Chunchun, ZHU Chuandong. Large-scale Time-variable Unified Gravity Field Model Using GRACE Data[J]. Geomatics and Information Science of Wuhan University, 2016, 41(8): 1100-1106. DOI: 10.13203/j.whugis20140303
Citation: TU Yi, LU Yang, ZHANG Zizhan, SHI Hongling, DU Zongliang, GAO Chunchun, ZHU Chuandong. Large-scale Time-variable Unified Gravity Field Model Using GRACE Data[J]. Geomatics and Information Science of Wuhan University, 2016, 41(8): 1100-1106. DOI: 10.13203/j.whugis20140303

利用GRACE资料构造大尺度时变重力场统一模型

Large-scale Time-variable Unified Gravity Field Model Using GRACE Data

  • 摘要: 基于2003~2012年的GRACE卫星重力资料,采用最小二乘拟合的方法,构建了时变重力场统一模型IGG-TVG2013。该模型以球谐系数的形式表达,在考虑趋势项和周期项等经验参数的基础上,还考虑了加速度项和潮汐模型误差、大地震等因素的影响。将IGG-TVG2013模型与GRACE资料进行了比较分析,在全球92%以上的区域二者符合精度优于±1 ugal;利用该模型外推预测了2013年1~6月的重力场变化,结果与GRACE实测数据符合较好。这表明IGG-TVG2013模型不但能较好地描述重力场的连续时空变化,而且具有一定的短期预测能力。

     

    Abstract: We established a large-scale time-variable unified gravity field model IGG-TVG2013 based on GRACE satellite data from 2003 to 2012 using the least square method. This model is composed of annual and semi-annual trends and periodic terms, usually of each spherical harmonic coefficient. Besides those empirical parameters, an acceleration term, tidal aliasing error, and large earthquakes are taken into account. Acceleration is a modification to linear trend to detect and express more details in signals. Tidal aliasing error is the residual error in a tide model that must be carefully removed from GRACE solutions; a co-seismic jump in the gravity field may disturb the secular trend. An evaluation of IGG-TVG2013 solutions and corresponding GRACE solutions shows that the RMSE value in 92% of global grids was less than one ugal. Extrapolation results for the first half of 2013 using the IGG-TVG2013 model shows this model has good potential in short-term forecasting. We concluded that the IGG-TVG2103 model can effectively describe the time-space variability of gravity field.

     

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