Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
An integral approach to regional gravity field refinement using Earth gravity models
Högskolan Väst, Institutionen för ingenjörsvetenskap, Avd för elektro, lantmäteri och naturvetenskap.ORCID-id: 0000-0003-0067-8631
2013 (Engelska)Ingår i: Journal of Geodynamics, ISSN 0264-3707, E-ISSN 1879-1670, Vol. 68, s. 18-28Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

The idea of this paper is to refine the terrestrial gravimetric data with the Earth's gravity models (EGMs) and produce a high quality source of gravity data. For this purpose, biased and unbiased integral estimators are presented. These estimators are used to refine gravimetric data over Fennoscandia with the ITG-GRACE2010s and GO_CONS_GCF_2_DIR_R2 EGMs, which are the recent products of the gravity field and climate experiment (GRACE) and the gravity field and steady-state ocean circulation explorer (GOCE) satellite missions. Numerical results show that the biased integral estimator has smaller global root mean square error (RMSE) than the unbiased one. Also a simple strategy is presented to down-weight the low-frequencies the terrestrial data in spectral combination. The gravity anomalies, computed by EGM08, are compared to the refined anomalies for evaluation purpose. In the case of using a cap size of 1° for integration the EGM08 gravity anomalies are more correlated with the refined ones. Also the band-limited kernels can simply be generated to maximum degree of the used EGMs for both estimators. Comparisons of the combined anomalies and those of EGM08 show insignificant differences between the biased and unbiased estimators in practice. However, the biased estimator seems to be proper one for gravity data refinement due to its smaller global RMSE.

Ort, förlag, år, upplaga, sidor
2013. Vol. 68, s. 18-28
Nyckelord [en]
Spectral combination; Gravity anomaly estimator; Biased and unbiased combination; Global root mean square error
Nationell ämneskategori
Geofysik
Forskningsämne
TEKNIK, Geodesi
Identifikatorer
URN: urn:nbn:se:hv:diva-5249DOI: 10.1016/j.jog.2013.03.001ISI: 000320088400002Scopus ID: 2-s2.0-84876301941OAI: oai:DiVA.org:hv-5249DiVA, id: diva2:615967
Tillgänglig från: 2013-04-13 Skapad: 2013-04-13 Senast uppdaterad: 2019-11-26Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Person

Eshagh, Mehdi

Sök vidare i DiVA

Av författaren/redaktören
Eshagh, Mehdi
Av organisationen
Avd för elektro, lantmäteri och naturvetenskap
I samma tidskrift
Journal of Geodynamics
Geofysik

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 356 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf