| Other contributing persons, institutions or organisations | eu - Funder | |
| Person(s) who is (are) responsible for the content of the research data | Döhne, Thorben Axel | |
| Person(s) who is (are) responsible for the content of the research data | Horwath, Martin - Technische Universität Dresden (ORCID: 0000-0001-5797-244X) | |
| Person(s) who is (are) responsible for the content of the research data | Groh, Andreas (ORCID: 0000-0003-0106-5802) | |
| Person(s) who is (are) responsible for the content of the research data | Buchta, Eric - Technische Universität Dresden | |
| Abstract | Supplementary material to the manuscript: Döhne, T., Horwath, M., Groh, A. and Buchta, E. (2023) 'The sensitivity kernel perspective on GRACE mass change estimates', Journal of Geodesy.
The data set comprises sensitivity kernels (SKs) of different Greenland Ice Sheet mass change estimators from Level-2 gravimetry data from the Gravity Recovery and Climate Experiment (GRACE) and GRACE-Follow-On missions. The SKs are given as a set of spherical harmonic (SH) coefficients. SKs are included for four methods of mass change estimation for each of eight Greenland ice drainage basins, both described in the manuscript.
In addition empirically derived degree-0 SH coefficients for each SK are provided for illustration purposes. | |
| Counties, the data is referencing | GREENLAND | de |
| Year or period of data production | 2022 | |
| Publication year | 2023 | |
| Publisher | Technische Universität Dresden | |
| References on related materials | IsPartOf: 123456789/5777 (Handle) | |
| Content of the research data | Dataset: Sensitivity kernels given as a set of spherical harmonic coefficients. | |
| Holder of usage rights | Technische Universität Dresden | |
| Usage rights of the data | CC-BY-SA-4.0 | |
| Discipline(s) | Geography | de |
| Discipline(s) | Geological Science | de |
| Title of the dataset | Sensitivity kernels for four different methods of Greenland Ice Sheet mass change estimation from GRACE Level-2 satellite gravimetry data | |
