論文

査読有り
2016年8月

Flight paths of seabirds soaring over the ocean surface enable measurement of fine-scale wind speed and direction

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
  • Yoshinari Yonehara
  • ,
  • Yusuke Goto
  • ,
  • Ken Yoda
  • ,
  • Yutaka Watanuki
  • ,
  • Lindsay C. Young
  • ,
  • Henri Weimerskirch
  • ,
  • Charles-Andre Bost
  • ,
  • Katsufumi Sato

113
32
開始ページ
9039
終了ページ
9044
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1073/pnas.1523853113
出版者・発行元
NATL ACAD SCIENCES

Ocean surface winds are an essential factor in understanding the physical interactions between the atmosphere and the ocean. Surface winds measured by satellite scatterometers and buoys cover most of the global ocean; however, there are still spatial and temporal gaps and finer-scale variations of wind that may be overlooked, particularly in coastal areas. Here, we show that flight paths of soaring seabirds can be used to estimate fine-scale (every 5 min, similar to 5 km) ocean surface winds. Fine-scale global positioning system (GPS) positional data revealed that soaring seabirds flew tortuously and ground speed fluctuated presumably due to tail winds and head winds. Taking advantage of the ground speed difference in relation to flight direction, we reliably estimated wind speed and direction experienced by the birds. These bird-based wind velocities were significantly correlated with wind velocities estimated by satellite-borne scatterometers. Furthermore, extensive travel distances and flight duration of the seabirds enabled a wide range of high-resolution wind observations, especially in coastal areas. Our study suggests that seabirds provide a platform from which to measure ocean surface winds, potentially complementing conventional wind measurements by covering spatial and temporal measurement gaps.

リンク情報
DOI
https://doi.org/10.1073/pnas.1523853113
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000381293300059&DestApp=WOS_CPL
ID情報
  • DOI : 10.1073/pnas.1523853113
  • ISSN : 0027-8424
  • Web of Science ID : WOS:000381293300059

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