Periodic Reporting for period 1 - HiAOOS (High Arctic Ocean Observation System)
Reporting period: 2023-01-01 to 2023-12-31
The Arctic Ocean is one of the least explored oceans on the planet. There is lack of in situ observations in large part of this region, especially on the seafloor and in the ocean under the sea ice. This means that the research communities working with climate, weather, ice-ocean processes, and geophysical hazards have limited knowledge about the processes below the sea ice. The lack of data limits the possibility to advance research in this region. It is therefore necessary to establish observing systems for data collection in the Arctic Ocean.
HiAOOS will develop, implement, and validate several ocean observing technologies to improve data collection in the ice-covered Arctic Ocean. A network of multipurpose moorings will be deployed for two years in the deep Nansen and Amundsen Basins. The network will provide point measurements of ocean and sea ice and active and passive acoustic data for several applications, including acoustic thermometry, geo-positioning of underwater floats, detection of marine mammals, geohazards and human generate noise. The mooring system will build on the successful basin wide Coordinated Arctic Acoustic Thermometry Experiment-CAATEX experiment and extend the existing Mooring Observations from the Atlantic Water Inflow Experiment (ATWAIN). A new generation of moorings will be developed where data can be transferred to the surface using ROV or winch technology. Ice buoys with new acoustic array technology will be developed for testing of underwater geo-positioning, local navigation networks for glider operations and for localization of geophysical events. These developments will advance several research infra structures with new observing technology and create new opportunities for forefront research. To unlock the capabilities of the new observing system methods and tools will be developed to analyse and visualize the observations for different applications using digital methods and technologies including machine learning. The methods and tools will be ingested into a digital platform blue Insight, and available through Zenodo. Training and use cases will use the platform to train different user groups associated with research infrastructures, research communities and technology developers. Data products will be prepared in standard compliant formats and made available through exisiting interoperable e-infrastructures for example NMDC, eCudo, EPOS and Pangaea. Field experiments will be carried out every summer from 2024 to 2026, and every field experiment will be assessed with respect to environmental impact prior to the start of the experiment.
The overall objective of HiAOOS is:
Advance the uptake of new ocean observing capabilities and capacity in the high Arctic to strengthen European and national infrastructures in their effort to support new and ambitions research within climate, environment and geohazards. Specific objectives:
Specific objectives are:
SO1: Establish collaboration with existing and emerging research infrastructures in the Arctic
SO2: Improve the observing capabilities in ice-covered Arctic Ocean through new infrastructure
SO3: Unlock new observing capacity to Ris and researchers through methods, tools and training
SO4: Advance observing systems in the Arctic building on subsea technology
SO5: Reduce environmental impact of Arctic observing systems
SO6: Comply with the FAIR principles and contribute to Open Science.
HiAOOS will develop, implement, and validate several ocean observing technologies to improve data collection in the ice-covered Arctic Ocean. A network of multipurpose moorings will be deployed for two years in the deep Nansen and Amundsen Basins. The network will provide point measurements of ocean and sea ice and active and passive acoustic data for several applications, including acoustic thermometry, geo-positioning of underwater floats, detection of marine mammals, geohazards and human generate noise. The mooring system will build on the successful basin wide Coordinated Arctic Acoustic Thermometry Experiment-CAATEX experiment and extend the existing Mooring Observations from the Atlantic Water Inflow Experiment (ATWAIN). A new generation of moorings will be developed where data can be transferred to the surface using ROV or winch technology. Ice buoys with new acoustic array technology will be developed for testing of underwater geo-positioning, local navigation networks for glider operations and for localization of geophysical events. These developments will advance several research infra structures with new observing technology and create new opportunities for forefront research. To unlock the capabilities of the new observing system methods and tools will be developed to analyse and visualize the observations for different applications using digital methods and technologies including machine learning. The methods and tools will be ingested into a digital platform blue Insight, and available through Zenodo. Training and use cases will use the platform to train different user groups associated with research infrastructures, research communities and technology developers. Data products will be prepared in standard compliant formats and made available through exisiting interoperable e-infrastructures for example NMDC, eCudo, EPOS and Pangaea. Field experiments will be carried out every summer from 2024 to 2026, and every field experiment will be assessed with respect to environmental impact prior to the start of the experiment.
The overall objective of HiAOOS is:
Advance the uptake of new ocean observing capabilities and capacity in the high Arctic to strengthen European and national infrastructures in their effort to support new and ambitions research within climate, environment and geohazards. Specific objectives:
Specific objectives are:
SO1: Establish collaboration with existing and emerging research infrastructures in the Arctic
SO2: Improve the observing capabilities in ice-covered Arctic Ocean through new infrastructure
SO3: Unlock new observing capacity to Ris and researchers through methods, tools and training
SO4: Advance observing systems in the Arctic building on subsea technology
SO5: Reduce environmental impact of Arctic observing systems
SO6: Comply with the FAIR principles and contribute to Open Science.
During the first year of the project we have:
Expanded collaboration with several research organisations in Europe, North America and Asia: field work, measurement programs and infrastructures.
Developed an overarching plan for field experiment in the period 2024-2026.
Obtained ship time with the Norwegian Coast Guard Vessel for 2024.
Deigned the multipurpose mooring network for the Nansen and Amundsen Basins.
Developed and tested new acoustic receiver technology and docking solutions for ROVs.
Developed and tested winch system for moorings in ice covered regions for transmission of data in near real time.
Tested acoustic data transmissions in Arctic waters.
Enhanced visualisation components of the digital platform and implemented a new framework for workflow orchestration.
Developed and analysed selected workflows for possible inclusion in to the digital platform.
Organised two training events for building competence in using digital platforms and AI.
Expanded collaboration with several research organisations in Europe, North America and Asia: field work, measurement programs and infrastructures.
Developed an overarching plan for field experiment in the period 2024-2026.
Obtained ship time with the Norwegian Coast Guard Vessel for 2024.
Deigned the multipurpose mooring network for the Nansen and Amundsen Basins.
Developed and tested new acoustic receiver technology and docking solutions for ROVs.
Developed and tested winch system for moorings in ice covered regions for transmission of data in near real time.
Tested acoustic data transmissions in Arctic waters.
Enhanced visualisation components of the digital platform and implemented a new framework for workflow orchestration.
Developed and analysed selected workflows for possible inclusion in to the digital platform.
Organised two training events for building competence in using digital platforms and AI.
After this year the results arevdescribed under work performed and main achievement.