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Record 8 of 4316
Bayesian inference in geomagnetism
Author and Affiliation:
Backus, George E.(California, University, La Jolla, United States)
Abstract: The inverse problem in empirical geomagnetic modeling is investigated, with critical examination of recently published studies. Particular attention is given to the use of Bayesian inference (BI) to select the damping parameter lambda in the uniqueness portion of the inverse problem. The mathematical bases of BI and stochastic inversion are explored, with consideration of bound-softening problems and resolution in linear Gaussian BI. The problem of estimating the radial magnetic field B(r) at the earth core-mantle boundary from surface and satellite measurements is then analyzed in detail, with specific attention to the selection of lambda in the studies of Gubbins (1983) and Gubbins and Bloxham (1985). It is argued that the selection method is inappropriate and leads to lambda values much larger than those that would result if a reasonable bound on the heat flow at the CMB were assumed.
Publication Date: Jan 01, 1988
Document ID:
19880061822
(Acquired Nov 28, 1995)
Accession Number: 88A49049
Subject Category: GEOPHYSICS
Document Type: Journal Article
Publication Information: Geophysical Journal (ISSN 0952-4592); 92; 125-142
Publisher Information: United Kingdom
Contract/Grant/Task Num: NSF EAR-85-21453; NSF EAR-86-07014; NAG5-818
Financial Sponsor: NASA; United States
Organization Source: California Univ.; La Jolla, CA, United States
Description: 18p; In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright
NASA Terms: BAYES THEOREM; EARTH CORE; EARTH MANTLE; GEOMAGNETISM; HEAT TRANSMISSION; STOCHASTIC PROCESSES; CORE-MANTLE BOUNDARY; ERROR ANALYSIS; NUMERICAL ANALYSIS
Imprint And Other Notes: Geophysical Journal (ISSN 0952-4592), vol. 92, Jan. 1988, p. 125-142.
Availability Source: Other Sources
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