An Optimized Short‐Arc Approach: Methodology and Application to Develop Refined Time Series of Tongji‐Grace2018 GRACE Monthly Solutions-Reference-Cited by-同舟云学术

An Optimized Short‐Arc Approach: Methodology and Application to Develop Refined Time Series of Tongji‐Grace2018 GRACE Monthly Solutions

Published:2019-06 Issue:6 Volume:124 Page:6010-6038
ISSN:2169-9313
Container-title:Journal of Geophysical Research: Solid Earth
language:en
Short-container-title:J. Geophys. Res. Solid Earth

Author:

Chen Qiujie¹²³⁴^ORCID,Shen Yunzhong¹^ORCID,Chen Wu²^ORCID,Francis Olivier³^ORCID,Zhang Xingfu⁵,Chen Qiang³^ORCID,Li Weiwei⁶,Chen Tianyi¹

Affiliation:

1. College of Surveying and Geo‐informaticsTongji University Shanghai China

2. Department of Land Surveying and Geo‐informaticsThe Hong Kong Polytechnic University Hong Kong

3. Faculté des Science, de la Technologie et de la CommunicationUniversity of Luxembourg Luxembourg

4. Institute of Geodesy and Geo‐informationUniversity of Bonn Bonn Germany

5. Departments of Surveying and MappingGuangdong University of Technology Guangzhou China

6. College of GeomaticsShandong University of Science and Technology Qingdao China

Funder

Ministry of Science and Technology

National Natural Science Foundation of China

Alexander von Humboldt-Stiftung

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Geochemistry and Petrology,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2018JB016596

Reference69 articles.

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2. BettadpurS(2018)UTCSR level‐2 processing standards document for level‐2 product release 0006. Technical Report GRACE 327–742.

3. Facts and fiction in spectral analysis

4. Autoregressive model order selection by a finite sample estimator for the Kullback-Leibler discrepancy

5. Evaluation of Release-05 GRACE time-variable gravity coefficients over the ocean

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