Data-driven insights into correlation among geophysical setting, topography and seafloor sediments in the Ross Sea, Antarctic

• Published in: Caderno de Geografia
• Main Author: Lemenkova, Polina
• Other Authors: Schmidt United Institute of Physics of the Earth Moscow (IPE), Russian Academy of Sciences Moscow (RAS)
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2021
• Subjects: Ross Sea; Antarctic; Southern Ocean; Cartography; Geophysics; Bathymetry; GMT; ACM: I.: Computing Methodologies; ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS; ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING; ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.2: Graphics Systems; ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques; ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques/I.3.6.2: Graphics data structures and data types; ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques/I.3.6.5: Standards; ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.5: Reconstruction; ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture; ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General; ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models; ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE; ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION; ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION; [INFO]Computer Science [cs]; [SDE]Environmental Sciences; [SDU.STU.TE]Sciences of the Universe [physics]/Earth Sciences/Tectonics; [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]; [INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL]; [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]; [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]; [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]; [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering; [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation; [INFO.INFO-MS]Computer Science [cs]/Mathematical Software [cs.MS]; [SDE.IE]Environmental Sciences/Environmental Engineering; [SDU.OCEAN]Sciences of the Universe [physics]/Ocean; Atmosphere; [SDU.STU]Sciences of the Universe [physics]/Earth Sciences; [SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology; [SDU.STU.AG]Sciences of the Universe [physics]/Earth Sciences/Applied geology; [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]; [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology; Alta; The Antarctic; Victoria Land; Ross Ice Shelf; Sulzberger Bay; Antarc*; Antártica; Ice Shelf; Mar de Ross
• Online Access: https://hal.archives-ouvertes.fr/hal-03140484; https://hal.archives-ouvertes.fr/hal-03140484/document; https://hal.archives-ouvertes.fr/hal-03140484/file/24658-Texto%20do%20artigo-93372-1-10-20210212.pdf; https://doi.org/10.5752/p.2318-2962.2021v31n64p1

International audience Detailed mapping based on the high-resolution grids, such as GEBCO, ETOPO1, GlobSed, EGM-2008 is crucial for various domains of Earth sciences: geophysics, glaciology, Quaternary, sedimentology, geology, environmental science, geomorphology, etc. The study presented a GMTbased scripting technique of the cartographic data processing aimed at the comparative analysis of the bathymetry, sediment thickness, geologic objects and geophysical settings in the study area based on various datasets. The study area is located in the Ross Sea, Antarctic. The highest values of the sediment thickness over 7,500 m are dominating in the southwest segment of the Ross Sea closer to the Victoria Land, followed by the region over the Ross Ice Shelf with values between 5,500 to 7,000 m (170°-175°W). The increased sediment thickness (2,500 to 3,000 m) was also mapped seen in the region NE off the Sulzberger Bay (70-75°S to 140-155°W), caused by the closeness of the Marie Bird Land ice coasts. A remarkable correlation between the gravity and the topography of the sea-land border in the Marie Bird Land area is well reflected in the coastal line and a set of the higher values in the free-air gravity. On the contrary, negative values (-60 to-80 mGal) are notable along the submarine troughs stretching parallel in the western part of the basin: e.g. the trough stretching in NW-SE direction in the 170°W-175°E, 65°S-68°S, between the 167°W-175°W, 70°S-72°S. Such correlations are clearly visible on the map, indicating geological lineaments and bathymetric depressions correlating with gravity grids. The paper contributes to the regional studies of the Ross Sea, the Antarctic and Polar region, and development of the technical cartographic methodologies by presenting an application of the GMT for thematic mapping. O mapeamento detalhado com base em grades de alta resolução, como GEBCO, ETOPO1, GlobSed, EGM-2008 é fundamental para vários campos das ciências da terra: geofísica, glaciologia, quaternário, sedimentologia, ...