Estimation of Height Anomalies from Gradients of the Gravitational Potential Using a Spectral Combination Method Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.1007/1345_2023_194
In this study, we apply a spectral combination method for estimation of height anomalies from gradients of the gravitational potential measured by satellites. The spectral combination method is used for solving over-determined problems within gravity field modelling when multiple types of gravity data are collected and used for recovery of unobservable quantities (typically the gravitational potential). The method applies solutions to geodetic boundary-value problems formulated in spherical approximation for gradients of the gravitational potential of up to the third order. Spectral forms of the solutions are combined using spectral weights defined under the condition of minimizing the global mean-square error of the estimators. Mathematical models are implemented and tested using gradients synthesized from a global geopotential model which allows for closed-loop testing of the estimators. The tests reveal among others that horizontal derivatives of the gravitational potential influence recovered values more than their vertical counterparts.
Related Topics
- Type
- book-chapter
- Language
- en
- Landing Page
- https://doi.org/10.1007/1345_2023_194
- https://link.springer.com/content/pdf/10.1007/1345_2023_194.pdf
- OA Status
- hybrid
- References
- 9
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4381303451
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4381303451Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1007/1345_2023_194Digital Object Identifier
- Title
-
Estimation of Height Anomalies from Gradients of the Gravitational Potential Using a Spectral Combination MethodWork title
- Type
-
book-chapterOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
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2023-01-01Full publication date if available
- Authors
-
Martin Pitoňák, Michal Šprlák, Pavel NovákList of authors in order
- Landing page
-
https://doi.org/10.1007/1345_2023_194Publisher landing page
- PDF URL
-
https://link.springer.com/content/pdf/10.1007/1345_2023_194.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://link.springer.com/content/pdf/10.1007/1345_2023_194.pdfDirect OA link when available
- Concepts
-
Geopotential, Gravitational field, Estimator, Gravitation, Spectral method, Geodetic datum, Gravitational potential, Geodesy, Unobservable, Mathematics, Boundary value problem, Applied mathematics, Mathematical analysis, Physics, Geology, Statistics, Classical mechanics, EconometricsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
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9Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.which | 118 |
| abstract_inverted_index.allows | 119 |
| abstract_inverted_index.global | 98, 115 |
| abstract_inverted_index.height | 13 |
| abstract_inverted_index.method | 9, 27, 58 |
| abstract_inverted_index.models | 105 |
| abstract_inverted_index.order. | 80 |
| abstract_inverted_index.others | 130 |
| abstract_inverted_index.reveal | 128 |
| abstract_inverted_index.study, | 3 |
| abstract_inverted_index.tested | 109 |
| abstract_inverted_index.values | 140 |
| abstract_inverted_index.within | 34 |
| abstract_inverted_index.applies | 59 |
| abstract_inverted_index.defined | 91 |
| abstract_inverted_index.gravity | 35, 42 |
| abstract_inverted_index.solving | 31 |
| abstract_inverted_index.testing | 122 |
| abstract_inverted_index.weights | 90 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Spectral | 81 |
| abstract_inverted_index.combined | 87 |
| abstract_inverted_index.geodetic | 62 |
| abstract_inverted_index.measured | 21 |
| abstract_inverted_index.multiple | 39 |
| abstract_inverted_index.problems | 33, 64 |
| abstract_inverted_index.recovery | 49 |
| abstract_inverted_index.spectral | 7, 25, 89 |
| abstract_inverted_index.vertical | 144 |
| abstract_inverted_index.anomalies | 14 |
| abstract_inverted_index.collected | 45 |
| abstract_inverted_index.condition | 94 |
| abstract_inverted_index.gradients | 16, 70, 111 |
| abstract_inverted_index.influence | 138 |
| abstract_inverted_index.modelling | 37 |
| abstract_inverted_index.potential | 20, 74, 137 |
| abstract_inverted_index.recovered | 139 |
| abstract_inverted_index.solutions | 60, 85 |
| abstract_inverted_index.spherical | 67 |
| abstract_inverted_index.(typically | 53 |
| abstract_inverted_index.estimation | 11 |
| abstract_inverted_index.formulated | 65 |
| abstract_inverted_index.horizontal | 132 |
| abstract_inverted_index.minimizing | 96 |
| abstract_inverted_index.quantities | 52 |
| abstract_inverted_index.closed-loop | 121 |
| abstract_inverted_index.combination | 8, 26 |
| abstract_inverted_index.derivatives | 133 |
| abstract_inverted_index.estimators. | 103, 125 |
| abstract_inverted_index.implemented | 107 |
| abstract_inverted_index.mean-square | 99 |
| abstract_inverted_index.potential). | 56 |
| abstract_inverted_index.satellites. | 23 |
| abstract_inverted_index.synthesized | 112 |
| abstract_inverted_index.Mathematical | 104 |
| abstract_inverted_index.geopotential | 116 |
| abstract_inverted_index.unobservable | 51 |
| abstract_inverted_index.approximation | 68 |
| abstract_inverted_index.counterparts. | 145 |
| abstract_inverted_index.gravitational | 19, 55, 73, 136 |
| abstract_inverted_index.boundary-value | 63 |
| abstract_inverted_index.over-determined | 32 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5040743378 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I92715842 |
| citation_normalized_percentile.value | 0.19145803 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |