A new release of deep ocean datasets for a better understanding of ocean dynamics
- 1Istituto Nazionale di Geofisica e Vulcanologia, Italy (nadia.lobue@ingv.it)
- 2Università Tor Vergata, Roma
Although it is now known that deep marine processes play a crucial role in the study and assessment of climate variability, deep-sea ocean dynamics remain largely unknown. This is due to the lack of data above 2000 m of depth.
Given the paucity of observation of the deep ocean environment, is essential to improve the availability and accessibility of in-situ high-quality datasets, standardized in accordance with the FAIR principles. This allows enhanced knowledge of local deep variability, and contributes to maximizing the utility of data, also supporting ocean modeling which so far has been unable to realistically depict the deep-layers state.
Several high sampling frequency dataset collected by benthic multidisciplinary observatories in key sites such as Mediterranean Sea, Marmara Sea and Atlantic Ocean has been elaborated, verifying the sensor efficiency through post-calibration and standardized Quality Control (QC) procedures, adapted from international protocols and recommendations specifically for deep-sea observations. QC tests were automated as much as possible aiming for a standardized procedure while taking into account the specificity of each different technology used.
The aim of this work is to disseminate verified in-situ dataset, together with properly formatted raw data and metadata, providing high-quality open-access data including Ocean Essential Variables ready for user analysis intended to fill the gap in deep ocean knowledge.
How to cite: Lo Bue, N., Giambenedetti, B., Embriaco, D., Marinaro, G., Bagiacchi, P., and Vagni, R.: A new release of deep ocean datasets for a better understanding of ocean dynamics, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-16889, https://doi.org/10.5194/egusphere-egu23-16889, 2023.