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不同GRACE-FO模型反演流域陆地水储量变化对比 被引量:1

Comparative analysis of terrestrial water storage change inverted by different GRACE-FO models
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摘要 为了有效比较由美国空间研究中心(Center of Space Research,CSR)、德国地学中心(Helmholtz-Centre Potsdam-German Research Centre for Geosciences,GFZ)和美国喷气推进实验室(Jet Propulsion Laboratory,JPL)机构提供的3种GRACE-FO RL06时变重力场模型精度,分别从模型阶方差、C_(20)项精度、全球和局部陆地水储量变化反演等角度对3种模型进行了详尽的阐述。结果表明:JPL的RL06模型阶方差要大于其他2个机构发布的结果;而在C_(20)项精度方面,CSR和JPL发布的数据更接近于卫星激光测距(Satellite Laser Ranging,SLR);通过对比这3种模型反演的陆地水储量变化结果与全球陆面数据同化系统(Global Land Data Assimilation system,GLDAS)水文模型的反演结果,发现3种模型与GLDAS模型的结果符合度都比较高,从局部反演结果来看,在3种模型中CSR与GLDAS模型的符合度较高。 In order to effectively compare the accuracy of three GRACE-FO RL06 time-variable gravity field models provided by Center of Space Research(CSR),Helmholtz-Centre Potsdam-German Research Centre for Geosciences(GFZ)and Jet Propulsion Laboratory(JPL),we assessed these three models from the perspectives of model degree variance,C20 accuracy and inversion of global and local terrestrial water storage change.The results showed that the degree variance of JPL RL06 model was greater than those of other two institutions.In term of C20 accuracy,data released by CSR and JPL were closer to Satellite Laser Ranging(SLR).By comparing the results of terrestrial water storage changes inverted by three models and the results of Global Land Data Assimilation system(GLDAS)model,it was found that the results of the three models and GLDAS model were relatively in good agreement.From the local inversion results,the CSR and GLDAS models were in high agreement among the three models.
作者 崔立鲁 杜安 张诚 汪晓龙 李琼 CUI Lilu;DU An;ZHANG Cheng;WANG Xiaolong;LI Qiong(School of Architecture and Civil Engineering,Chengdu University,Chengdu 610106,China;School of Geodesy and Geomatics,Wuhan University,Wuhan 430071,China;Nanning Exploration&Survey Geoinformation Institute,Nanning 530022,China;School of Civil Engineering and Geomatics,Southwest Petroleum University,Chengdu 610500,China)
出处 《人民长江》 北大核心 2022年第3期98-102,共5页 Yangtze River
基金 教育部重点实验室测绘基础研究基金项目(16-01-04)。
关键词 陆地水储量变化 模型阶方差 C_(20)项精度 相关系数 GRACE-FO模型 terrestrial water storage change model degree variance C20 accuracy correlation coefficient GRACE-FO model
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