Flight paths of seabirds soaring over the ocean surface enable measurement of fine-scale wind speed and direction
Flight paths of seabirds soaring over the ocean surface enable measurement of fine-scale wind speed and direction
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DOI:
10.1073/pnas.1523853113
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发表时间:
2016-07
期刊:
影响因子:
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通讯作者:
Y. Yonehara;Yusuke Goto;K. Yoda;Y. Watanuki;Lindsay Young;H. Weimerskirch;C. Bost;Katsufumi Sato
中科院分区:
文献类型:
--
作者:
Y. Yonehara;Yusuke Goto;K. Yoda;Y. Watanuki;Lindsay Young;H. Weimerskirch;C. Bost;Katsufumi Sato
Significance Monitoring ocean surface winds is essential for understanding ocean and atmosphere interactions and weather forecasts. However, wind measured by satellite scatterometers and buoys are spatially and temporally coarse, particularly in coastal areas. We deployed small global positioning system units on soaring seabirds to record their tracks. Seabirds were accelerated by tail winds or slowed down by head winds during flight, so their flight speed changed in relation to wind speed and direction. Taking advantage of these changes in flight speed, we reliably estimated wind speed and direction experienced by the seabirds. The wind observed by soaring seabird’s tracks complemented the conventional observation gaps in terms of both time and space, suggesting the possibility of using soaring seabirds as a living anemometer. 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, ∼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.