2022
DOI: 10.5194/npg-29-53-2022
|View full text |Cite
|
Sign up to set email alerts
|

An approach for constraining mantle viscosities through assimilation of palaeo sea level data into a glacial isostatic adjustment model

Abstract: Abstract. Glacial isostatic adjustment is largely governed by the rheological properties of the Earth's mantle. Large mass redistributions in the ocean–cryosphere system and the subsequent response of the viscoelastic Earth have led to dramatic sea level changes in the past. This process is ongoing, and in order to understand and predict current and future sea level changes, the knowledge of mantle properties such as viscosity is essential. In this study, we present a method to obtain estimates of mantle visco… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
2
1

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 79 publications
0
2
0
Order By: Relevance
“…Our approach is closely related to the work of Pan et al (2022) who similarly utilized an ensemble of GIA models with horizontally and vertically variable Earth structures to assess in particular variations in global mean sea-level since the last glacial maximum. All 56 GIA simulations considered in this study are performed with the VILMA model, that has been applied in many GIA-related studies in the past (Bagge et al, 2021;Dobslaw et al, 2020;Hoening et al, 2023;Huang et al, 2023;Klemann et al, 2008Klemann et al, , 2015Martinec et al, 2018;Schachtschneider et al, 2022). The numerical code solves the sea level equation in the spherical domain and accounts for continuum-mechanics, viscoelasticity, rotational feedback, self-gravitation, mass conservation, and the migration of coastlines.…”
Section: Gia-induced Gravity Ratesmentioning
confidence: 99%
“…Our approach is closely related to the work of Pan et al (2022) who similarly utilized an ensemble of GIA models with horizontally and vertically variable Earth structures to assess in particular variations in global mean sea-level since the last glacial maximum. All 56 GIA simulations considered in this study are performed with the VILMA model, that has been applied in many GIA-related studies in the past (Bagge et al, 2021;Dobslaw et al, 2020;Hoening et al, 2023;Huang et al, 2023;Klemann et al, 2008Klemann et al, , 2015Martinec et al, 2018;Schachtschneider et al, 2022). The numerical code solves the sea level equation in the spherical domain and accounts for continuum-mechanics, viscoelasticity, rotational feedback, self-gravitation, mass conservation, and the migration of coastlines.…”
Section: Gia-induced Gravity Ratesmentioning
confidence: 99%
“…The data assimilation methods are implemented in a generic way, allowing PDAF to be applied in various modelling applications like ocean physics (Brüning et al, 2021) and sea ice (Mu et al, 2019), ocean biogeochemistry (Goodliff et al, 2019;Pradhan et al, 2019), hydrology (Kurtz et al, 2016), geodynamo 150 (Fournier et al, 2013) and geodynamics (Schachtschneider et al, 2022) or transport dynamics in the atmosphere (Pardini et al, 2020). PDAF is implemented in Fortran 95 with some functions of Fortran 2003 and uses parallelization with the Message Passing Interface (MPI, Gropp et al, 1994) and OpenMP.…”
Section: Pdaf: Parallel Data Assimilation Frameworkmentioning
confidence: 99%