Multibeam bathymetry raw data (Kongsberg EM 122 entire dataset) of RV METEOR during cruise M99

Multibeam bathymetry raw data using the ship's own Kongsberg EM 122 multibeam echosounder was not continuously recorded during RV METEOR cruise M99. Data was recorded on 3 days between 2013-08-03 and 2013-08-05. This dataset contains a survey in the South Atlantic Ocean west of Namibia. The app...

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Bibliographic Details
Main Author: Quadfasel, Detlef
Format: Dataset
Language:English
Published: PANGAEA 2023
Subjects:
M99
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.959838
https://doi.org/10.1594/PANGAEA.959838
Description
Summary:Multibeam bathymetry raw data using the ship's own Kongsberg EM 122 multibeam echosounder was not continuously recorded during RV METEOR cruise M99. Data was recorded on 3 days between 2013-08-03 and 2013-08-05. This dataset contains a survey in the South Atlantic Ocean west of Namibia. The approximate average depth of the entire dataset is around 4300m. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. Ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus SVP files are added to this dataset. Data analysis of the multibeam raw data revealed that SVP has not been changed during the survey. This publication is conducted within the efforts of the German Marine Research Alliance in the core area Data management and Digitalization (Deutsche Allianz Meeresforschung, DAM). Data are unprocessed and therefore contains incorrect depth measurements (artifacts) without further processing. Note that refraction errors can be expected due to the lack of proper SVP. Overall, it appears that the data quality is rather good since the gridded hillshade data showed relatively few obstacles. Data can be processed e.g. with the open source software package MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, http://www.mbari.org/products/research-software/mb-system/, 2022).