Reconstructing GRACE-type time-variable gravity from the Swarm satellites
Abstract The Gravity Recovery and Climate Experiment (GRACE) mission has enabled mass changes and transports in the hydrosphere, cryosphere and oceans to be quantified with unprecedented resolution. However, while this legacy is currently being continued with the GRACE Follow-On (GRACE-FO) mission t...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-01-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-020-80752-w |
id |
doaj-35b3d9a7ddd741beb4936561f8413524 |
---|---|
record_format |
Article |
spelling |
doaj-35b3d9a7ddd741beb4936561f84135242021-01-17T12:36:51ZengNature Publishing GroupScientific Reports2045-23222021-01-0111111410.1038/s41598-020-80752-wReconstructing GRACE-type time-variable gravity from the Swarm satellitesH. Maja P. Richter0Christina Lück1Anna Klos2Michael G. Sideris3Elena Rangelova4Jürgen Kusche5Institute of Geodesy and Geoinformation, University of BonnInstitute of Geodesy and Geoinformation, University of BonnFaculty of Civil Engineering and Geodesy, Military University of TechnologyDepartment of Geomatics Engineering, Schulich School of Engineering, University of CalgaryDepartment of Geomatics Engineering, Schulich School of Engineering, University of CalgaryInstitute of Geodesy and Geoinformation, University of BonnAbstract The Gravity Recovery and Climate Experiment (GRACE) mission has enabled mass changes and transports in the hydrosphere, cryosphere and oceans to be quantified with unprecedented resolution. However, while this legacy is currently being continued with the GRACE Follow-On (GRACE-FO) mission there is a gap of 11 months between the end of GRACE and the start of GRACE-FO which must be addressed. Here we bridge the gap by combining time-variable, low-resolution gravity models derived from European Space Agency’s Swarm satellites with the dominating spatial modes of mass variability obtained from GRACE. We show that the noise inherent in unconstrained Swarm gravity solutions is greatly reduced, that basin averages can have root mean square errors reduced to the order of $$\text {cm}$$ cm of equivalent water height, and that useful information can be retrieved for basins as small as $$1000 \times 1000\,\hbox {km}$$ 1000 × 1000 km . It is found that Swarm data contains sufficient information to inform the leading three global mass modes found in GRACE at the least. By comparing monthly reconstructed maps to GRACE data from December 2013 to June 2017, we suggest the uncertainty of these maps to be $$2{-}3\,\text {cm}$$ 2 - 3 cm of equivalent water height.https://doi.org/10.1038/s41598-020-80752-w |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
H. Maja P. Richter Christina Lück Anna Klos Michael G. Sideris Elena Rangelova Jürgen Kusche |
spellingShingle |
H. Maja P. Richter Christina Lück Anna Klos Michael G. Sideris Elena Rangelova Jürgen Kusche Reconstructing GRACE-type time-variable gravity from the Swarm satellites Scientific Reports |
author_facet |
H. Maja P. Richter Christina Lück Anna Klos Michael G. Sideris Elena Rangelova Jürgen Kusche |
author_sort |
H. Maja P. Richter |
title |
Reconstructing GRACE-type time-variable gravity from the Swarm satellites |
title_short |
Reconstructing GRACE-type time-variable gravity from the Swarm satellites |
title_full |
Reconstructing GRACE-type time-variable gravity from the Swarm satellites |
title_fullStr |
Reconstructing GRACE-type time-variable gravity from the Swarm satellites |
title_full_unstemmed |
Reconstructing GRACE-type time-variable gravity from the Swarm satellites |
title_sort |
reconstructing grace-type time-variable gravity from the swarm satellites |
publisher |
Nature Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2021-01-01 |
description |
Abstract The Gravity Recovery and Climate Experiment (GRACE) mission has enabled mass changes and transports in the hydrosphere, cryosphere and oceans to be quantified with unprecedented resolution. However, while this legacy is currently being continued with the GRACE Follow-On (GRACE-FO) mission there is a gap of 11 months between the end of GRACE and the start of GRACE-FO which must be addressed. Here we bridge the gap by combining time-variable, low-resolution gravity models derived from European Space Agency’s Swarm satellites with the dominating spatial modes of mass variability obtained from GRACE. We show that the noise inherent in unconstrained Swarm gravity solutions is greatly reduced, that basin averages can have root mean square errors reduced to the order of $$\text {cm}$$ cm of equivalent water height, and that useful information can be retrieved for basins as small as $$1000 \times 1000\,\hbox {km}$$ 1000 × 1000 km . It is found that Swarm data contains sufficient information to inform the leading three global mass modes found in GRACE at the least. By comparing monthly reconstructed maps to GRACE data from December 2013 to June 2017, we suggest the uncertainty of these maps to be $$2{-}3\,\text {cm}$$ 2 - 3 cm of equivalent water height. |
url |
https://doi.org/10.1038/s41598-020-80752-w |
work_keys_str_mv |
AT hmajaprichter reconstructinggracetypetimevariablegravityfromtheswarmsatellites AT christinaluck reconstructinggracetypetimevariablegravityfromtheswarmsatellites AT annaklos reconstructinggracetypetimevariablegravityfromtheswarmsatellites AT michaelgsideris reconstructinggracetypetimevariablegravityfromtheswarmsatellites AT elenarangelova reconstructinggracetypetimevariablegravityfromtheswarmsatellites AT jurgenkusche reconstructinggracetypetimevariablegravityfromtheswarmsatellites |
_version_ |
1724334574828257280 |