GRACETOOLS

GRACE gravity field recovery tools

authored by: Neda Darbeheshti, Florian Wöske, Matthias Weigelt, Christopher McCullough, Hu Wu
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.
Organisation(s): Institute of Geodesy
External Organisation(s): University of Bremen
Max Planck Institute for Gravitational Physics (Albert Einstein Institute)
California Institute of Caltech (Caltech)
Type: Article
Journal: Geosciences (Switzerland)
Volume: 8
No. of pages: 16
Publication date: 15.09.2018
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Earth and Planetary Sciences(all)
Electronic version(s): https://doi.org/10.3390/geosciences8090350 (Access: Open)
: Details in the research portal "Research@Leibniz University"

BibTeX

@article{a1efd2c7f3544e07bb3b376df429041c,
title = "GRACETOOLS: GRACE gravity field recovery tools",
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.",
keywords = "GRACE, Gravity field recovery, Variational equations",
author = "Neda Darbeheshti and Florian W{\"o}ske and Matthias Weigelt and Christopher McCullough and Hu Wu",
note = "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. ",
year = "2018",
month = sep,
day = "15",
doi = "10.3390/geosciences8090350",
language = "English",
volume = "8",
journal = "Geosciences (Switzerland)",
issn = "2076-3263",
publisher = "MDPI AG",
number = "9",
}