HUST-GOGRA2018s: A new gravity field model derived from the combination of GRACE and GOCE data
文献类型：期刊论文
| 作者 | Zhou, Hao2,3; Xu, Chuang3,4; Luo, Zhicai2; Zhou, Zebing2; Zhong, Bo1; Wan, Jiakuan2 |
| 刊名 | TERRESTRIAL ATMOSPHERIC AND OCEANIC SCIENCES
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| 出版日期 | 2019-02-01 |
| 卷号 | 30期号:1页码:97-109 |
| 关键词 | Gravity field model GRACE GOCE Parametric covariance approach |
| ISSN号 | 1017-0839 |
| DOI | 10.3319/TAO.2018.11.02.01 |
| 英文摘要 | A new satellite-only gravity field model entitled HUST-GOGRA2018s is developed by the combination of GRACE and GOCE data in this study. The modified dynamic approach is applied for GRACE data processing, while the space-wise least square method with a cascade filter is utilized for GOCE data processing. The GRACE-only model HUST-Grace2016s and GOCE-only model HUST-GOCE2018s are then computed, respectively. Our new developed GRACE-only model HUST-Grace2016s performs better than AIUB-GRACE03S, GGM05S, Tongji-GRACE01S at higher degrees, and the quality of our GOCE-only model HUST-GOCE2018s is also better than that of GO_CONS_GCF_2_TIM_R2 and GO_CONS_GCF_2_SPW_R2. The combination is subsequently implemented by the superposition of GRACE and GOCE full normal equations. During the combination, the optimal weight is determined by the least-squares combined adjustment method with parametric covariance approach (LS-PCA) and the spectral combination method, respectively. The comparison result demonstrates that LS-PCA is more proper for the combination. As a result, the final HUST-GOGRA2018s model is developed. Validated by external gravity field models, the results demonstrate that the HUST-GOGRA2018s is dominated by GRACE data for the spherical harmonic coefficients lower than degree 60 and GOCE data for the spherical harmonic coefficients higher than degree 150, and its performance is better than that of GOCO01S. |
| 资助项目 | National Natural Science foundation of China[41704012] ; National Natural Science foundation of China[41504015] ; National Natural Science foundation of China[41474019] ; China Postdoctoral Science Foundation[2016M592337] ; Open Research Fund Program of the State Key Laboratory of Geodesy and Earth's Dynamics[SKLGED2017-1-2-E] ; Open Research Fund Program of the State Key Laboratory of Geodesy and Earth's Dynamics[SKLGED2018-1-3-E] |
| WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences ; Oceanography |
| 语种 | 英语 |
| WOS记录号 | WOS:000461562200009 |
| 出版者 | CHINESE GEOSCIENCE UNION |
| 源URL | [http://202.127.146.157/handle/2RYDP1HH/7602]  |
| 专题 | 中国科学院武汉植物园 |
| 通讯作者 | Xu, Chuang |
| 作者单位 | 1.Wuhan Univ, Sch Geodesy & Geomat, Wuhan, Hubei, Peoples R China 2.Huazhong Univ Sci & Technol, Sch Phys, Inst Geophys, Wuhan, Hubei, Peoples R China 3.Chinese Acad Sci, Inst Geodesy & Geophys, State Key Lab Geodesy & Earths Dynam, Wuhan, Hubei, Peoples R China 4.Guangdong Univ Technol, Sch Civil & Transportat Engn, Guangzhou, Guangdong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhou, Hao,Xu, Chuang,Luo, Zhicai,et al. HUST-GOGRA2018s: A new gravity field model derived from the combination of GRACE and GOCE data[J]. TERRESTRIAL ATMOSPHERIC AND OCEANIC SCIENCES,2019,30(1):97-109. |
| APA | Zhou, Hao,Xu, Chuang,Luo, Zhicai,Zhou, Zebing,Zhong, Bo,&Wan, Jiakuan.(2019).HUST-GOGRA2018s: A new gravity field model derived from the combination of GRACE and GOCE data.TERRESTRIAL ATMOSPHERIC AND OCEANIC SCIENCES,30(1),97-109. |
| MLA | Zhou, Hao,et al."HUST-GOGRA2018s: A new gravity field model derived from the combination of GRACE and GOCE data".TERRESTRIAL ATMOSPHERIC AND OCEANIC SCIENCES 30.1(2019):97-109. |
入库方式： OAI收割
来源：武汉植物园
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