机构地区:[1]Collaborative Innovation Center of Geospatial Technology/Key Laboratory of Geospace Environment and Geodesy, School of Geodesy and Geomatics,Wuhan University, China [2]Center for Space Research,University of Texas at Austin, USA [3]National Oceanic and Atmospheric Administration, Silver Spring, MD, USA
出 处:《Geodesy and Geodynamics》2017年第6期377-388,共12页大地测量与地球动力学(英文版)
基 金:supported in parts by the National 973 Project of China(No.2013CB733301 and 2013CB733305);the National Natural Science Foundation of China(No.41474022,41210006 and 41374022);the R&D Special Fund for Public Welfare Industry(Surveying and Mapping,No.201512001);the Fundamental Research Funds for the Central Universities of China(No.2042016kf0146);the China Postdoctoral Science Foundation(No.2014T70737)
摘 要:At seasonal and intraseasonal time scales, polar motions are mainly excited by angular momentum fluctuations due to mass redistributions and relative motions in the atmosphere, oceans, and continental water, snow, and ice, which are usually provided by various global atmospheric, oceanic, and hydrological models(some with meteorological observations assimilated; e.g., NCEP, ECCO, ECMWF, OMCT and LSDM etc.). Unfortunately, these model outputs are far from perfect and have notable discrepancies with respect to polar motion observations, due to non-uniform distributions of meteorological observatories,as well as theoretical approximations and non-global mass conservation in these models. In this study,the LDC(Least Difference Combination) method is adopted to obtain some improved atmospheric,oceanic, and hydrological/crospheric angular momentum(AAM, OAM and HAM/CAM, respectively)functions and excitation functions(termed as the LDCgsm solutions). Various GRACE(Gravity Recovery and Climate Experiment) and SLR(Satellite Laser Ranging) geopotential data are adopted to correct the non-global mass conservation problem, while polar motion data are used as general constraints. The LDCgsm solutions can reveal not only periodic fluctuations but also secular trends in AAM, OAM and HAM/CAM, and are in better agreement with polar motion observations, reducing the unexplained excitation to the level of about 5.5 mas(standard derivation value; about 1/5-1/4 of those corresponding to the original model outputs).At seasonal and intraseasonal time scales, polar motions are mainly excited by angular momentum fluctuations due to mass redistributions and relative motions in the atmosphere, oceans, and continental water, snow, and ice, which are usually provided by various global atmospheric, oceanic, and hydrological models(some with meteorological observations assimilated; e.g., NCEP, ECCO, ECMWF, OMCT and LSDM etc.). Unfortunately, these model outputs are far from perfect and have notable discrepancies with respect to polar motion observations, due to non-uniform distributions of meteorological observatories,as well as theoretical approximations and non-global mass conservation in these models. In this study,the LDC(Least Difference Combination) method is adopted to obtain some improved atmospheric,oceanic, and hydrological/crospheric angular momentum(AAM, OAM and HAM/CAM, respectively)functions and excitation functions(termed as the LDCgsm solutions). Various GRACE(Gravity Recovery and Climate Experiment) and SLR(Satellite Laser Ranging) geopotential data are adopted to correct the non-global mass conservation problem, while polar motion data are used as general constraints. The LDCgsm solutions can reveal not only periodic fluctuations but also secular trends in AAM, OAM and HAM/CAM, and are in better agreement with polar motion observations, reducing the unexplained excitation to the level of about 5.5 mas(standard derivation value; about 1/5-1/4 of those corresponding to the original model outputs).
关 键 词:Polar motion GRACE SLR Least difference combination Atmospheric OCEANIC and hydrological/crospheric excitation
分 类 号:P223[天文地球—大地测量学与测量工程]
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