Details
Originalsprache | Englisch |
---|---|
Aufsatznummer | 350 |
Seitenumfang | 16 |
Fachzeitschrift | Geosciences (Switzerland) |
Jahrgang | 8 |
Ausgabenummer | 9 |
Publikationsstatus | Veröffentlicht - 15 Sept. 2018 |
Abstract
This paper introduces GRACETOOLS, the first open source gravity field recovery tool using GRACE type satellite observations. Our aim is to initiate an open source GRACE data analysis platform, where the existing algorithms and codes for working with GRACE data are shared and improved. We describe the first release of GRACETOOLS that includes solving variational equations for gravity field recovery using GRACE range rate observations. All mathematical models are presented in a matrix format, with emphasis on state transition matrix, followed by details of the batch least squares algorithm. At the end, we demonstrate how GRACETOOLS works with simulated GRACE type observations. The first release of GRACETOOLS consist of all MATLAB M-files and is publicly available at Supplementary Materials.
ASJC Scopus Sachgebiete
- Erdkunde und Planetologie (insg.)
- Allgemeine Erdkunde und Planetologie
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
in: Geosciences (Switzerland), Jahrgang 8, Nr. 9, 350, 15.09.2018.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - GRACETOOLS
T2 - GRACE gravity field recovery tools
AU - Darbeheshti, Neda
AU - Wöske, Florian
AU - Weigelt, Matthias
AU - McCullough, Christopher
AU - Wu, Hu
N1 - Funding Information: Funding: This project is supported by funding from the SFB 1128 “Relativistic Geodesy and Gravimetry with Quantum Sensors (geo-Q)” by the Deutsche Forschungsgemeinschaft. Acknowledgements: A portion of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. We are thankful to Axel Schnitger for initiating and organizing the Gitlab for data and code sharing throughout this project. We would like to thank three anonymous reviewers for their useful reviews which helped in improving the manuscript significantly.
PY - 2018/9/15
Y1 - 2018/9/15
N2 - This paper introduces GRACETOOLS, the first open source gravity field recovery tool using GRACE type satellite observations. Our aim is to initiate an open source GRACE data analysis platform, where the existing algorithms and codes for working with GRACE data are shared and improved. We describe the first release of GRACETOOLS that includes solving variational equations for gravity field recovery using GRACE range rate observations. All mathematical models are presented in a matrix format, with emphasis on state transition matrix, followed by details of the batch least squares algorithm. At the end, we demonstrate how GRACETOOLS works with simulated GRACE type observations. The first release of GRACETOOLS consist of all MATLAB M-files and is publicly available at Supplementary Materials.
AB - This paper introduces GRACETOOLS, the first open source gravity field recovery tool using GRACE type satellite observations. Our aim is to initiate an open source GRACE data analysis platform, where the existing algorithms and codes for working with GRACE data are shared and improved. We describe the first release of GRACETOOLS that includes solving variational equations for gravity field recovery using GRACE range rate observations. All mathematical models are presented in a matrix format, with emphasis on state transition matrix, followed by details of the batch least squares algorithm. At the end, we demonstrate how GRACETOOLS works with simulated GRACE type observations. The first release of GRACETOOLS consist of all MATLAB M-files and is publicly available at Supplementary Materials.
KW - GRACE
KW - Gravity field recovery
KW - Variational equations
UR - http://www.scopus.com/inward/record.url?scp=85054754230&partnerID=8YFLogxK
U2 - 10.3390/geosciences8090350
DO - 10.3390/geosciences8090350
M3 - Article
AN - SCOPUS:85054754230
VL - 8
JO - Geosciences (Switzerland)
JF - Geosciences (Switzerland)
IS - 9
M1 - 350
ER -