NSFGEO-NERC: Adjoint tomography of mantle viscosity using deglacial sea level observations

Lead Research Organisation: University of Cambridge
Department Name: Earth Sciences

Abstract

The viscosity of Earth's mantle varies radially and laterally as a result of its complex thermal structure. While it is known from seismology, geodynamics, mineral physics, and sea level observations that these variations exist, they are difficult to constrain. Through glacial isostaticadjustment (GIA) - the viscoelastic response of the Earth to waxing and waning ice sheets - this incomplete knowledge propagates into questions of past ice sheets and sea level change. This proposal constitutes an effort to better understand Earth rheology and its implications for cryosphere evolution. The novel aspect proposed here is to invert sea level, geodetic, and gravitational observationsfor rheology and deglacial ice sheet changes using gradient-based optimization. Model gradients will be efficiently calculated using the adjoint method. This framework allows us to move beyond a limited set of forward simulations and enables us for the first time to efficiently assimilate sea level data into a 3D GIA model. We will use a newly compiled dataset with over 13,000 datapoints of deglacial sea level to produce the first tomographic image of Earth's internal viscosity structure. We will furthermore use this approach to produce ice sheet reconstructions that are consistent with 3D Earth models. In addition to exploring trade-offs between the Earth and ice structure, we will develop and implement second-order adjoint equations to assess uncertainty propagation. Our model output will allow us to address two targeted research questions, (1) the amount of melt or readvance of different ice sheets during the Holocene and (2) the present-day contribution of GIAand its uncertainty to sea level change in major coastal cities.

Publications

10 25 50
 
Title Adjoint Fingerprint code 
Description As an off-shoot of the main project, we have been developing a simple code to calculate forward and adjoint sea level fingerprints. The forward finger prints show the sea level perturbation globally due to a specified melt source (under the assumption of an instantaneous elastic response) and have been used for many years. The adjoint fingerprints are new, being based on the theory developed within this project. They show, for a given observation point, how the sea level there depends on a global distribution of ice melt. This can be used potentially in assessing sea level hazards for specific locations, and also within the quantification of present day mass loss from ice sheets based on sea level and realated obseragions. The resulting theory is rather simple to implement, and we have been developing an implementation within a jupyter notebook to accompany a paper in preparation (planned submission for the late spring). This will allow the wider community to apply these methods. 
Type Of Material Computer model/algorithm 
Year Produced 2022 
Provided To Others? No  
Impact One feature of the method is that sensitivity kernels can be calculated for a range of observables including 1) tide gauge records, 2) sea surface altimetry, 3) ice altimetry and 4) gravity. In this manner, all these different measurements can be used together in formulating an inverse problem for mass loss. This will hopefully lead to important advances within further applications. 
 
Title Adjoint GIA code 
Description Within the project we have been developing and applying a new approach to both forward and inverse modelling of glacio-isostatic adjustment. This is based on work done by Ophelia Crawford during her (NERC-funded PhD at Cambridge), but that code has required substantial modification and improvement to get applications up and running. The plan is to eventually release the code to the wider community, but at present it is in the development phase. Key Features: 1) Solution of forward GIA problem in a rotating Earth model with laterally varying viscosity. Based on hybrid pseudo-spectral spectral element method. Inclution of rotation into this code is one of the aims of the project, and is necessary for applications. 2) Calculation of sensitivity kernels with respect to viscosity and ice sheet parameters. This method was developed by Crawford in her PhD, and this grant consistutes the first large-scale application of these ideas. Various modifications to the adjoint code have been necessary to being in rotation and also to improve efficiency and flexibility of data-types. 
Type Of Material Computer model/algorithm 
Year Produced 2021 
Provided To Others? No  
Impact Using the adjoint method we are able, for the first time, to directly invert sea level data for lateral variations in mantle viscosity. Further planned advances will also allow for uncertainty quantification in the inverse problem. 
 
Description Work with Mitrovica Group 
Organisation Harvard University
Department Department of Earth and Planetary Sciences
Country United States 
Sector Academic/University 
PI Contribution Linked to this grant, work has been ongoing with the group of Jerry Mitrovica in Harvard, USA. This group has been making direct use of the adjoint GIA methods and codes developed as part of the current grant. This includes the publication of a paper (Kim et al, 2022, JGR) this year on the dependence of GIA induced changes to the Earth's rotation rate to mantle viscosity. Prior studies had only consider the effect of 1D variations in viscosity, but we have shown the full 3D sensitivity. In this manner, what this datum can and cannot constrain has been clarified.
Collaborator Contribution Prof Mitrovica's group have been primarly involved in terms of suggesting applications for the methods developed. Prof Mitrovica himself has been working closely with me on the devlopment of the adjoint theory within a rotation Earth model, and also in forming plans for future work.
Impact Kim, A.J., Crawford, O., Al-Attar, D., Lau, H.C.P., Mitrovica, J.X. and Latychev, K., 2022. Ice age effects on the satellite-derived J? 2 datum: Mapping the sensitivity to 3D variations in mantle viscosity. Earth and Planetary Science Letters, 581, p.117372.
Start Year 2014
 
Title Fortran codes for adjoint GIA modelling 
Description A set of Fortran 90 codes for modelling GIA within laterally hetrogeneous Earth models and for solving the associated adjoint problem. The codes are still in the developmental stage, but have been made accessible via GitHub to the wider community. 
Type Of Technology Software 
Year Produced 2023 
Open Source License? Yes  
Impact The developed software has formed part of this grant. As the research progressed, it became apparant that improvements in these computational tools were necessary to work towards the scientific goals of the project, and hence additional and ongoing work has been undertaken in this area. 
URL https://github.com/da380/gia3D