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首页> 外文期刊>Journal of geophysical research. Solid earth: JGR >Improvements in the Monthly Gravity Field Solutions Through Modeling the Colored Noise in the GRACE Data
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Improvements in the Monthly Gravity Field Solutions Through Modeling the Colored Noise in the GRACE Data

机译:通过在宽限数据中建模彩色噪声来改进每月重力场解决方案

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Abstract >The Gravity Recovery And Climate Experiment (GRACE) mission has achieved a quantum leap in knowledge of the Earth's gravity field. However, current gravity field solutions still cannot reach the prelaunch baseline accuracy. One of the reasons for that is the presence of colored noise in GRACE data, which is typically ignored in the classical dynamic approach to gravity field modeling. In this research, we propose to account for colored noise in the classical dynamic approach by applying the frequency‐dependent data weighting (FDDW) scheme, so that enhanced estimates of gravity field solutions are produced. The monthly solutions are compared with those produced using the standard least squares adjustment without a data weighting scheme. The comparison is performed in both spectral and spatial domains, showing the positive effect of the FDDW scheme in all considered cases. For instance, the cumulative geoid height errors up to degree 96 are reduced by 18%. In the spatial domain, the FDDW scheme lowers noise level in mass changes over the oceans, Mississippi river basin, and Greenland by 20, 38, and 23%, respectively, when compared to the without a data weighting scheme. In addition, the consistency of mass changes over the Mississippi and Congo river basins with those inferred from the state‐of‐the‐art hydrology model WaterGAP is substantially improved when the FDDW scheme is applied. These results indicate that modeling colored noise in the GRACE data allows to significantly improve the recovered monthly solutions. This finding is likely applicable also to the GRACE Follow‐On mission. </abstract> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> <div class="translation abstracttxt"> <span class="zhankaihshouqi fivelineshidden" id="abstract"> <span>机译:</span><Abstract Type =“Main”XML:Lang =“en”> <标题类型=“main”>抽象</ title> >重力恢复和气候实验(Grace)任务已经实现了一种巨大的知识地球的重力场。但是,目前的重力场解决方案仍无法达到预先加速基线精度。其中一个原因是宽限数据中彩色噪声的存在,这通常在传统的重力场建模中忽略了典型的动态方法。在本研究中,我们提出通过应用频率相关的数据加权(FDDW)方案来考虑经典动态方法,从而产生了增强的重力场解决方案的估计。将每月解决方案与使用具有数据加权方案的标准最小二乘调整产生的那些进行比较。比较在光谱和空间域中进行,显示FDDW方案在所有所考虑的情况下的正效应。例如,高达96度的累积大型水大型高度误差减少了18%。在空间域中,与没有数据加权方案相比,FDDW方案分别降低海洋,密西西比河流域和格陵兰岛的大规模变化的噪声水平。此外,当施用FDDW方案时,基本上改善了密西西比和刚果河盆地的群众变化的一致性与从最先进的水文模型水涂层推断。这些结果表明,宽限数据中的彩色噪声建模允许显着提高恢复的月度解决方案。这一发现可能也适用于恩典后续任务。</ p> </ abstract> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> </div> <div class="record"> <h2 class="all_title" id="enpatent33" >著录项</h2> <ul> <li> <span class="lefttit">来源</span> <div style="width: 86%;vertical-align: text-top;display: inline-block;"> <a href='/journal-foreign-34677/'>《Journal of geophysical research. Solid earth: JGR》</a> <b style="margin: 0 2px;">|</b><span>2018年第8期</span><b style="margin: 0 2px;">|</b><span>共15页</span> </div> </li> <li> <div class="author"> <span class="lefttit">作者</span> <p id="fAuthorthree" class="threelineshidden zhankaihshouqi"> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Guo Xiang&option=202" target="_blank" rel="nofollow">Guo Xiang;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Zhao Qile&option=202" target="_blank" rel="nofollow">Zhao Qile;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Ditmar Pavel&option=202" target="_blank" rel="nofollow">Ditmar Pavel;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Sun Yu&option=202" target="_blank" rel="nofollow">Sun Yu;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Liu Jingnan&option=202" target="_blank" rel="nofollow">Liu Jingnan;</a> </p> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zkzz" style="display: none;">展开▼</span> </div> </li> <li> <div style="display: flex;"> <span class="lefttit">作者单位</span> <div style="position: relative;margin-left: 3px;max-width: 639px;"> <div class="threelineshidden zhankaihshouqi" id="fOrgthree"> <p>GNSS Research CenterWuhan UniversityWuhan China;</p> <p>GNSS Research CenterWuhan UniversityWuhan China;</p> <p>Faculty of Civil Engineering and GeosciencesDelft University of TechnologyDelft Netherlands;</p> <p>Key Lab for Data Mining and Information Sharing Ministry of EducationFuzhou UniversityFujian China;</p> <p>GNSS Research CenterWuhan UniversityWuhan China;</p> </div> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zhdw" style="display: none;">展开▼</span> </div> </div> </li> <li > <span class="lefttit">收录信息</span> <span style="width: 86%;vertical-align: text-top;display: inline-block;"></span> </li> <li> <span class="lefttit">原文格式</span> <span>PDF</span> </li> <li> <span class="lefttit">正文语种</span> <span>eng</span> </li> <li> <span class="lefttit">中图分类</span> <span><a href="https://www.zhangqiaokeyan.com/clc/163.html" title="地球物理学">地球物理学;</a></span> </li> <li class="antistop"> <span class="lefttit">关键词</span> <p style="width: 86%;vertical-align: text-top;"> </p> </li> </ul> </div> </div> <div class="literature cardcommon"> <div class="similarity "> <h3 class="all_title" id="enpatent66">相似文献</h3> <div class="similaritytab clearfix"> <ul> <li class="active" >外文文献</li> <li >中文文献</li> <li >专利</li> </ul> </div> <div class="similarity_details"> <ul > <li> <div> <b>1. </b><a class="enjiyixqcontent" href="/journal-foreign-detail/0704025592862.html">Improvements in the Monthly Gravity Field Solutions Through Modeling the Colored Noise in the GRACE Data</a> <b>[J]</b> . <span> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Guo Xiang&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">Guo Xiang,</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Zhao Qile&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">Zhao Qile,</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Ditmar Pavel&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">Ditmar Pavel,</a> <a href="/journal-foreign-34677/" target="_blank" rel="nofollow" class="tuijian_authcolor">Journal of geophysical research. 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class="zwjiyix translation" style="max-width: initial;height: auto;word-break: break-all;white-space: initial;text-overflow: initial;overflow: initial;"> <span>机译:使用泊松方程对重力和张量重力数据进行建模,适用于机载,地面和钻孔应用 </span> </p> </li> <li> <div> <b>5. </b><a class="enjiyixqcontent" href="/patent-detail/06130422064780.html">WAVEFORM NOISE ELIMINATING METHOD USING A NOISE MODEL FOR SUB CHANNEL ANALYSIS BY APPLYING A NOISE MODEL TO WAVEFORM DATA TO AUTOMATICALLY ANALYZE A SUB CHANNEL AND A SUB CHANNEL ANALYZING DEVICE USING THE SAME</a> <b>[P]</b> . <span> 外国专利: <!-- 韩国专利: --> KR20120035074A </span> <span> . 2012-04-13</span> </div> <p class="zwjiyix translation" style="max-width: initial;height: auto;word-break: break-all;white-space: initial;text-overflow: initial;overflow: initial;"> <span>机译:通过将噪声模型应用于波形数据以自动分析子信道和使用相同方法进行子信道分析的设备,将噪声模型用于子信道分析的波形噪声消除方法 </span> </p> </li> </ul> </div> </div> </div> <div class="theme cardcommon" style="overflow: auto;display:none"> <h3 class="all_title" 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