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联合多源数据确定中国海及周边海底地形模型!
  • ISSN号:1671-8860
  • 期刊名称:《武汉大学学报:信息科学版》
  • 时间:0
  • 分类:P223[天文地球—大地测量学与测量工程;天文地球—测绘科学与技术] P456.7[天文地球—大气科学及气象学]
  • 作者机构:[1]Institute of Earthquake Science, China Earthquake Administration, Beijing 100036, China, [2]Key Laboratory of Earthquake Geodesy, Institute of Seismology, China Earthquake Administration, Wuhan 430071, China, [3]College of Surveying and Geo-Informatics Engineering, Tongji University, Shanghai 200092, China
  • 相关基金:This work was supported by the Basic Research Project of Institute of Earthquake Science, China Earthquake Administration (2013IES0203, 2014IES010102), China Spark Program of Earthquake Science and Technology (XH14036) and the National Natural Science Foundation of China (41304018).
中文摘要:

Empirical orthogonal function(EOF)was used to process the spherical harmonic coefficient(SHC)of 115 Gravity Recovery and Climate Experiment(GRACE)RL05 monthly gravity field models from March 2003 to February 2013 released by CSR(Center for Space Research).We analyzed the effectiveness of EOF in decorrelation of gravity field.Results show that only a small Gaussian smoothing radius was needed by EOF to significantly weaken the north—south stripes compared with the empirical moving-window filtering algorithm.The comparative experiments with a Global Land Data Assimilation System(GLDAS)hydrological model also show that EOF did not much affect the real geophysical signals,and that the removed signals were nearly uncorrelated with the real geophysical signals.As the Gravity Recovery and Climate Experiment(GRACE)missions continue,EOF can be used to significantly remove the correlated errors from monthly gravity fields and reserve rich effective signals.更多还原

英文摘要:

Empirical orthogonal function (EOF) was used to process the spherical harmonic coefficient (SHC) of 115 Gravity Recovery and Climate Experiment (GRACE) RL05 monthly gravity field models from March 2003 to February 2013 released by CSR (Center for Space Research). We analyzed the effectiveness of EOF in decorrelation of gravity field. Results show that only a small Gaussian smoothing radius was needed by EOF to significantly weaken the north -south stripes compared with the empirical moving-window filtering algorithm. The comparative experiments with a Global Land Data Assimilation System (GLDAS) hydrological model also show that EOF did not much affect the real geophysical signals, and that the removed signals were nearly uncorrelated with the real geophysical signals. As the Gravity Recovery and Climate Experiment (GRACE) missions continue, EOF can be used to significantly remove the correlated errors from monthly gravity fields and reserve rich effective signals.

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期刊信息
  • 《武汉大学学报:信息科学版》
  • 中国科技核心期刊
  • 主管单位:国家教育部
  • 主办单位:武汉大学
  • 主编:刘经南
  • 地址:湖北武汉珞珈山
  • 邮编:430072
  • 邮箱:whuxxb@vip.163
  • 电话:027-68778045
  • 国际标准刊号:ISSN:1671-8860
  • 国内统一刊号:ISSN:42-1676/TN
  • 邮发代号:38-317
  • 获奖情况:
  • 全国优秀科技期刊,全国优秀高校自然科学学报一等奖,湖北省优秀期刊称号
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,荷兰地学数据库,荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,英国科学文摘数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:24217