DOI: 10.1002/jgrd.50724
论文题名: Assessment of the ASCAT wind error characteristics by global dropwindsonde observations
作者: Chou K.-H. ; Wu C.-C. ; Lin S.-Z.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 16 起始页码: 9011
结束页码: 9021
语种: 英语
Scopus关键词: Hurricanes
; Meteorological instruments
; Error characteristics
; High wind speed
; Low wind speed
; Moisture saturation
; Root mean squares
; Tropical cyclone
; Wind directions
; Wind retrievals
; Wind effects
; accuracy assessment
; airborne survey
; ASCAT
; instrumentation
; tropical cyclone
; wind direction
; wind velocity
英文摘要: This research focuses on assessing the accuracy of the advanced scatterometer (ASCAT) wind vector around tropical cyclones by using data from dropwindsondes deployed by the surveillance and reconnaissance flights during 2007-2010. There are 987 matching samples for the comparisons, with wind speed up to 50ms-1. The bias and root-mean-square differences of wind speed between ASCAT and dropwindsonde data are -1.7 and 5.3ms-1, respectively. Further analyses also indicate that large wind direction differences occur in the low wind speed regime, while large wind speed differences occur in the high wind speed regime. The accuracy of wind vector in weak wind speed and high wind speed regimes are significantly reduced in saturated regions, implying that the rain contamination issue still affects the accuracy of ASCAT wind retrieval. The wind vector in the medium wind speed regime has much better quality, in good agreement with the satellite's designed specification. The ASCAT wind data obviously contain negative wind speed bias, which grows larger as wind speed increases. A regression fit between ASCAT and dropwindsonde wind speed is adopted to correct the bias of the ASCAT wind speed. The error characteristics are largely determined by the magnitude of wind speed and moisture saturation which are highly variable around the storm. Nevertheless, results from this study suggest that ASCAT wind data of velocities measuring between 12 and 18ms-1 are more reliable and can be applied to determine the radius of 34 knot winds, a critical parameter in operational tropical cyclone analysis. © 2013. Her Majesty the Queen in Right of Canada. American Geophysical Union. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63378
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Department of Atmospheric Sciences, Chinese Culture University, 55, Hwa-Kang Rd., Yang-Ming-Shan, Taipei 111, Taiwan; Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan
Recommended Citation:
Chou K.-H.,Wu C.-C.,Lin S.-Z.. Assessment of the ASCAT wind error characteristics by global dropwindsonde observations[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(16)