Source for the text of: Pastorutti, A. (2020) Inferring the lithospheric thermal structure from satellite gravimetry.
This repository contains the LaTeX source, bibliography and figures for my doctoral dissertation submitted in partial fulfillment of the requirements for the degree. Its version of record can be reached at this handle: hdl.handle.net/11368/2961201.
I have defended this thesis on 2020-03-20 in Trieste, Italy.
Excerpt from figure 2.9:
Excerpt from figure 3.17:
@phdthesis{Pastorutti2020PhDThesis,
author = {Pastorutti, Alberto},
keywords = {error propagation,gravimetry,lithosphere,surface heat flow,thermal modelling},
school = {Universit{\`{a}} degli studi di Trieste},
title = {{Inferring the lithospheric thermal structure from satellite gravimetry}},
type = {PhD thesis},
url = {https://hdl.handle.net/11368/2961201},
year = {2020}
}
Pastorutti, A. (2020). Inferring the lithospheric thermal structure from satellite gravimetry. Università degli studi di Trieste. Retrieved from hdl.handle.net/11368/2961201
Consider citing this paper covering the thermal modelling-fitting segment:
@article{Pastorutti2019GJI,
author = {Pastorutti, Alberto and Braitenberg, Carla},
doi = {10.1093/gji/ggz344},
issn = {0956-540X},
journal = {Geophysical Journal International},
keywords = {composition and structure of,gravity anomalies and earth,heat flow,heat generation and transport,satellite gravity,structure,the continental crust},
month = {nov},
number = {2},
pages = {1008--1031},
title = {{A geothermal application for GOCE satellite gravity data: modelling the crustal heat production and lithospheric temperature field in Central Europe}},
volume = {219},
year = {2019}
}
Pastorutti, A., & Braitenberg, C. (2019). A geothermal application for GOCE satellite gravity data: modelling the crustal heat production and lithospheric temperature field in Central Europe. Geophysical Journal International, 219(2), 1008–1031. doi:10.1093/gji/ggz344
A good deal of the rest of the thesis deals with the forward modelling of global reductions to gravity models, including a strategy to propagate uncertainties in the input mass to reductions. This, along with an in-depth description of the numerical setup for the finite difference thermal solver, is of a more monographic nature and can be found only in the thesis.
A rendered pdf of the archived thesis (post-review, pre-defense version) is provided in a release: releases/tag/postreview-version.
This work is licensed under a Creative Commons Attribution 4.0 International License.