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Circum-Arctic Mapping Project: New Magnetic Anomaly map Linked to the Geology of the Arctic

2008· article· en· W1639042822 sur OpenAlex

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Notice bibliographique

RevueAGU Fall Meeting Abstracts · 2008
Typearticle
Langueen
DomaineEarth and Planetary Sciences
ThématiqueGeophysical and Geoelectrical Methods
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGeologyArcticMagnetic anomalyBathymetric chartTectonicsGeophysicsGravity anomalyBathymetrySeismologyOceanographyPaleontology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Recent Circum-Arctic digital compilations of magnetic, gravity and bathymetry data have been analyzed in order to provide a consistent view of the tectonically complex Arctic basins and surrounding continents. The new grids have been mathematically filtered in order to assist in the regional characterization of magnetic and gravity domains and boundaries. In particular, we have analyzed the frequency content, amplitudes, and patterns of regional magnetic anomalies in areas with disputed crustal structure and tectonic evolution (like Alpha-Mendeleev Ridge). The interpretation of potential field and its derivatives has been compared with recently released map of Arctic geology. CIRCUM-ARCTIC MAPPING PROJECT: NEW MAGNETIC AND ANOMALY MAP OF THE ARCTIC An international effort to compile Circum-Arctic geophysical and bedrock data has been conducted by several national agencies (Russia-VSEGEI and VNIIO, Sweden-SGU, Finland-GTK, Denmark-GEUS, USA-USGS, Canada-GSC and Norway-NGU) since 2005. This project aimed to produce an atlas with geological and geophysical digital maps at a scale of 1: 5 million for the Arctic region bounded by the 60 degrees northern latitude. Here we mainly present the new Circum Arctic Magnetic Anomaly map (with a resolution of 2 km, upward continued 1 km, Fig. 1) and link it to the Circum Arctic Gravity Anomaly map (Free Air and Bouguer corrected, 10 km gridded data) and the Circum Arctic geology. New published and classified magnetic and gravity anomaly gridded data from each participant group were gathered and converted to a common datum (WGS84) and format. The magnetic anomaly compilation relies on 1 km gridded data for Canada (based on the Canadian Aeromagnetic Data Base), Alaska (based on Alaska USGS aeromagnetic database) and NW Europe (Fennoscandia compilation and the NGU NE Atlantic compilation) regions, and 5 km gridded data for oceanic and Russian regions (see Figure 2 for location of various contributions). The Greenland region magnetic anomaly grid ([14]) has been updated with new aeromagnetic surveys performed in West Greenland between 1992-2001 ([12]), and in NW Greenland ([1,9]). The oceanic area east of Greenland (NE Atlantic) contains most of the aeromagnetic data used in the [14] s compilation (pre-1990) plus new aeromagnetic surveys over offshore Norway collected up to 2007 ( [3,10,11]). The gridded data has been upward continued to 1 km above ground or sea-level and trimmed around the areas of major overlaps. The Alaska USGS aeromagnetic compilation has been used as the “master grid” for merging the major gridded data sets together and the downward continued lithospheric magnetic field model MF6 derived from satellite data [7] has been used as a regional reference surface. We have used a blending function over the area of overlap in order to smooth the transition from one grid to the other (GridKnit, GEOSOFT). The resulting grid has been re-sampled to a 2 km grid cell. In order to construct the final Circum-Arctic magnetic anomaly grid (CAMP-M) we have adopted the approach used by several research groups for compiling the World Digital Magnetic Anomaly Map (WDMAM) and used near-surface magnetic data for the short wavelength component of the compilation and the satellite derived magnetic anomalies for the long wavelength ([5,6]). MF6 extends to spherical harmonics degree 130 (333 km wavelength) and therefore it is able to provide consistent long wavelength information between 300 and 400 km. This information is mainly related to regional deeper and/or thicker portions of the magnetic sources within the crust. Fig. 1. a) CAMP-M magnetic anomaly map; b) Magnetic anomaly map: gridded data sources; c) MF6 satellite magnetic field model (geoid altitude, upward continued 1 km, [7]) has been used as regional base for leveling the magnetic anomaly compilation and to fill the “no data” gaps. MF6 extends to spherical harmonics degree 130 (333 km wavelength) and therefore it is able to provide consistent long wavelength information between 300 and 400 km. This information is mainly related to regional deeper and/or thicker portions of the magnetic sources within the crust. The new CAMP-GM compilation is superior to similar gridded data over the Circum-Arctic area due to its better coverage (includes updated aeromagnetic data in the High Arctic, west and north of Greenland and in the NE Atlantic), preserves smaller wavelength structures by keeping the grid resolution at 2 km, and has a consistent regional long wavelength component introduced by the MF6 satellite based lithospheric magnetic model. DERIVATIVES OF THE CAMP-GM MAGNETIC ANOMALY GRID: WHAT CAN WE LEARN ABOUT

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Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,129
Score d'incertitude au seuil0,867

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,031
Tête enseignante GPT0,235
Écart entre enseignants0,204 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle