How to deal with the high condition number of the noise covariance matrix of gravity field functionals synthesised from a satellite-only global gravity field model?
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%0 Journal Article
%1 Klees-etal-2018a
%A Klees, R
%A Slobbe, DC
%A Farahani, HH
%D 2018
%J J Geod
%K imported nongeoinst
%R 10.1007/s00190-018-1136-0
%T How to deal with the high condition number of the noise covariance matrix of gravity field functionals synthesised from a satellite-only global gravity field model?
@article{Klees-etal-2018a,
added-at = {2018-11-30T12:48:28.000+0100},
author = {Klees, R and Slobbe, DC and Farahani, HH},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/286f1467b21e61249de643c1adc60cf2b/gisitpuma},
doi = {10.1007/s00190-018-1136-0},
interhash = {6de8fcaa6d4fdde3a7aece09ec305ccd},
intrahash = {86f1467b21e61249de643c1adc60cf2b},
journal = {J Geod},
keywords = {imported nongeoinst},
timestamp = {2018-12-06T09:09:04.000+0100},
title = {How to deal with the high condition number of the noise covariance matrix of gravity field functionals synthesised from a satellite-only global gravity field model?},
year = 2018
}