AtlantiS will develop the next generation of tools for autonomous collection of data on biodiversity, ecosystem processes, and biogeochemistry, essential for the autonomous monitoring of ecosystem health and change in the ocean. The tools will support the UK’s ambitions to achieve lower-carbon ocean observations, while simultaneously expanding observing capability (parameters, spatial coverage, and temporal resolution) far beyond that which can be achieved with research cruises.
Tools for ocean biological analysis, from biodiversity to ecosystem health: AtlantiS is addressing capability gaps in biological sensors, targeting biological Essential Ocean Variables (EOVs) on biomass, diversity, and abundance as some of the key indicators of ocean health. We are delivering tools for in situ biodiversity analysis via improvements to the 'RoCSI' eDNA collector to enhance its longevity, and through genomic analysis tools. We are improving capabilities for analysing phytoplankton population dynamics and their effect on carbon uptake through in situ cytometry and with an improved marine snow catcher. We are moving towards analysis of ecosystem functioning by developing in situ tools for enzyme analysis.

OTE Electronics
Innovations in observational infrastructure and data handling: achieving fewer ship visits to fixed-point moorings and arrays requires robust data transfer and sensing systems that can survive longer between deployments. This is enabled with the provision of near-real-time communications through careful design of data handling systems, standardisation of formats, and on-sensor data quality control to create robust “Sensor to Scientist” data-chains. AtlantiS is improving sensor longevity on moorings and contributing expertise to the re-engineering of long-term observational moorings to improve robustness. We are developing and demonstrating improved power generation and storage systems based on supercapacitors, exploring technologies for harvesting environmental power, and implementing adaptive sampling strategies. To facility early testing and demonstrations, we are creating an easy-to-use “plug and play” site for easy long-term testing of sensors and data chains.

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