2015
DOI: 10.1038/srep17672
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Assimilation of the seabird and ship drift data in the north-eastern sea of Japan into an operational ocean nowcast/forecast system

Abstract: At the present time, ocean current is being operationally monitored mainly by combined use of numerical ocean nowcast/forecast models and satellite remote sensing data. Improvement in the accuracy of the ocean current nowcast/forecast requires additional measurements with higher spatial and temporal resolution as expected from the current observation network. Here we show feasibility of assimilating high-resolution seabird and ship drift data into an operational ocean forecast system. Data assimilation of geos… Show more

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Cited by 24 publications
(19 citation statements)
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“…These seabird-derived current data were assimilated into ocean models, resulting in refinement of the gyre patterns represented by the model (20). These studies demonstrate the potential of animal-derived environmental data in meteorological observations.…”
Section: Significancementioning
confidence: 88%
See 1 more Smart Citation
“…These seabird-derived current data were assimilated into ocean models, resulting in refinement of the gyre patterns represented by the model (20). These studies demonstrate the potential of animal-derived environmental data in meteorological observations.…”
Section: Significancementioning
confidence: 88%
“…This suggests that the bird-based wind estimates could be used to cover the satellite measurement gaps. In fact, geophysical data directly measured by instrumented animals or indirectly extracted from animal movements that complement conventional observation gaps have been assimilated to geophysical model analyses, as shown in currents extracted from shearwaters drift data (19) that were assimilated to ocean surface circulation models (20) and temperature and salinity profile measured by instrumented seals (11) used in Antarctic circumpolar circulation models (12). Wind stress and wind stress curl in coastal areas induce surface currents and upwelling systems that often generate areas of high biological productivity (6,8).…”
Section: Bird-based Wind Covers Spatial and Temporal Observation Gapsmentioning
confidence: 99%
“…The sea birds forage boundary areas between two oceanic mesoscale eddies where primary productivity and prey density are thought to be high. The current data from sea birds improved reproducibility of eddies through data assimilation into an operational ocean nowcast/forecast system (Miyazawa et al, 2015).…”
Section: Development Of Biologging As An Ocean Observation Platform Fmentioning
confidence: 99%
“…We hope to exploit this large amount of data and expect the use of AIS data will become a new method for measuring and forecasting great tsunamis. Similar concepts of diverting information from crowd-sourced agents to Earth monitoring recently have been also applied to grasp earthquakes (Kong et al 2016), winds, and ocean currents (Miyazawa et al 2015).…”
Section: Summary and Remarksmentioning
confidence: 99%