Presentation Information
[O03-P05]A database (Biologging intelligent Platform: BiP) facilitates collaboration among biology, oceanography and meteorology★Invited Papers
*Katsufumi Sato1, Akira Kuwano-Yoshida2, Shinichi Watanabe3, Takuji Noda4, Takuya Koizumi4, Makoto Yoshida5, Takuya Fukuoka1 (1.Atmosphere and Ocean Research Institute, University of Tokyo, 2.Disaster Prevention Research Institute, Kyoto University, 3.Little Leonardo Corp., 4.Biologging Solutions Inc., 5.University of Fukuchiyama)
Keywords:
data assimilation,turtle,seabird,temperature,salinity,wind
Biologging, originating in biology, aims to study marine animals’ behavior and physiology in their natural habitats. Since the 1980s, researchers have attached time-depth-temperature recorders to animals like seals and penguins to document their diving behavior and experienced water temperatures. Recent advancements include the use of accelerometers alongside GPS and the Argos system, enabling the recording of fine-scale movements and uncovering hidden aspects of animal life history. Additionally, biologging now extends to diverse fields like meteorology and oceanography, leading to the emergence of secondary data utilization.
The initial unexpected application of biologging was to measure underwater temperature and salinity. Argo floats are impractical in high-latitude waters with ice-covered surfaces. However, outfitting seals with Satellite Relay Data Loggers (SRDL) has allowed the collection of water temperature and salinity profiles beneath sea ice via satellite. Sea turtles equipped with SRDL have recently been employed to monitor marginal seas such as the Arafura Sea, which, at around 300 m deep, is surrounded by continents and islands, as well as the complex water mass structures in the Kuroshio-Oyashio mixed water region. In these instances, data collection was facilitated by marine organisms carrying the devices to the research sites. A novel endeavor is ongoing to estimate environmental conditions through detailed analysis of animal movements. For example, the drift vectors acquired while seabirds rest on the sea surface reflected surface currents. Alternatively, detailed analysis of the flight vectors of seabirds, which rely on gliding to fly in a zigzag pattern, enables the estimation of ocean winds. Furthermore, analysis of the three-dimensional vectors of seabirds landing on the sea surface now enables the estimation of waves. A recent study has reported that streaked shearwaters tend to fly toward the center of typhoons. Another paper also documented the behavior of a streaked shearwater unintentionally caught in the strong winds of a typhoon, blowing up to an altitude of 4,000 m and circling at speeds of over 100 km/hr. Observations using seabirds could be effective in understanding the environment at the boundary between the atmosphere and the ocean.
In response to social and academic needs, we developed the "Biologging intelligent Platform (BiP)", which not only stores data but also facilitates data visualization and secondary data analyses, promoting broad applications of biologging data across various fields. The BiP conforms to internationally recognized standard formats for storing metadata and sensor data, encompassing parameters such as position, depth, speed, acceleration, temperature, etc. By visiting the website (https://www.bip-earth.com/), anyone interested in utilizing the data can access metadata and visualized route maps, irrespective of whether the data status is open or private. Data sets can be downloaded in a versatile netCDF format for use by meteorological and environmental experts. Registered users can freely download open datasets under CC BY 4.0 license, allowing copying, redistribution, and modification while complying with the metadata's attribution requirements. To access private datasets, direct contact with the data owner is necessary, and the owner’s contact information is provided. A distinctive feature of the BiP is its OLAP (Online Analytical Processing) tools, which calculate environmental parameters like surface currents, ocean winds, and waves using data collected from seabirds. Algorithms from previous studies are integrated into the OLAP, enabling it to estimate environmental parameters from uploaded data. We are enhancing OLAP functionality and expanding analytical tools for future use in a wide range of fields.
The initial unexpected application of biologging was to measure underwater temperature and salinity. Argo floats are impractical in high-latitude waters with ice-covered surfaces. However, outfitting seals with Satellite Relay Data Loggers (SRDL) has allowed the collection of water temperature and salinity profiles beneath sea ice via satellite. Sea turtles equipped with SRDL have recently been employed to monitor marginal seas such as the Arafura Sea, which, at around 300 m deep, is surrounded by continents and islands, as well as the complex water mass structures in the Kuroshio-Oyashio mixed water region. In these instances, data collection was facilitated by marine organisms carrying the devices to the research sites. A novel endeavor is ongoing to estimate environmental conditions through detailed analysis of animal movements. For example, the drift vectors acquired while seabirds rest on the sea surface reflected surface currents. Alternatively, detailed analysis of the flight vectors of seabirds, which rely on gliding to fly in a zigzag pattern, enables the estimation of ocean winds. Furthermore, analysis of the three-dimensional vectors of seabirds landing on the sea surface now enables the estimation of waves. A recent study has reported that streaked shearwaters tend to fly toward the center of typhoons. Another paper also documented the behavior of a streaked shearwater unintentionally caught in the strong winds of a typhoon, blowing up to an altitude of 4,000 m and circling at speeds of over 100 km/hr. Observations using seabirds could be effective in understanding the environment at the boundary between the atmosphere and the ocean.
In response to social and academic needs, we developed the "Biologging intelligent Platform (BiP)", which not only stores data but also facilitates data visualization and secondary data analyses, promoting broad applications of biologging data across various fields. The BiP conforms to internationally recognized standard formats for storing metadata and sensor data, encompassing parameters such as position, depth, speed, acceleration, temperature, etc. By visiting the website (https://www.bip-earth.com/), anyone interested in utilizing the data can access metadata and visualized route maps, irrespective of whether the data status is open or private. Data sets can be downloaded in a versatile netCDF format for use by meteorological and environmental experts. Registered users can freely download open datasets under CC BY 4.0 license, allowing copying, redistribution, and modification while complying with the metadata's attribution requirements. To access private datasets, direct contact with the data owner is necessary, and the owner’s contact information is provided. A distinctive feature of the BiP is its OLAP (Online Analytical Processing) tools, which calculate environmental parameters like surface currents, ocean winds, and waves using data collected from seabirds. Algorithms from previous studies are integrated into the OLAP, enabling it to estimate environmental parameters from uploaded data. We are enhancing OLAP functionality and expanding analytical tools for future use in a wide range of fields.