GSTDTAP
DOI10.1175/JCLI-D-19-0183.1
Diagnosing and Predicting ENSO SSTA Development from Moored-Buoy and Scatterometer Winds
Chiodi, Andrew M.1,2
2019-12-01
发表期刊JOURNAL OF CLIMATE
ISSN0894-8755
EISSN1520-0442
出版年2019
卷号32期号:24页码:8755-8770
文章类型Article
语种英语
国家USA
英文摘要

Accurate real-time knowledge of equatorial Pacific wind stress is critical for monitoring the state of the tropical Pacific Ocean and understanding sea surface temperature anomaly (SSTA) development associated with El Nino-Southern Oscillation (ENSO) events. The tropical Pacific moored-buoy array has been shown to adequately provide this knowledge when operating as designed. Ocean model simulation of equatorial Pacific SSTA by moored-buoy winds reveals that recent western Pacific buoy losses exceed the array's minimal redundancy. Additional wind measurements are needed to adequately simulate ENSO-related SSTA development when large portions of the moored-buoy array have been lost or decommissioned. Prospects for obtaining this supplemental wind information in real time are evaluated from simulations of central equatorial Pacific SSTA development during 2017 and end-of-year Nino-3.4 conditions during the previous 25 years. Results show that filling multiple-buoy-dropout gaps with winds from a pair of scatterometers (2000-17) achieves simulation accuracy improving upon that available from the moored-buoy array in the case in which large portions of the array are out. Forcing with the reanalysis-product winds most commonly used in recent ENSO studies or the scatterometer measurements (without the buoy winds) degrades simulation accuracy. The utility of having accurate basinwide wind stress information is demonstrated in an examination of the role that easterly weather-scale wind events played in driving the unexpected development of La Nina in 2017 and by showing that wintertime Nino-3.4 conditions can be statistically forecast, with skill comparable to state-of-the-art coupled models, on the basis of accurate knowledge of equatorial Pacific wind variability over spring or summer.


英文关键词ENSO Wind stress Air-sea interaction Seasonal forecasting General circulation models Ocean models
领域气候变化
收录类别SCI-E
WOS记录号WOS:000501234400001
WOS关键词EL-NINO ; EQUATORIAL PACIFIC ; OBSERVING SYSTEM ; WAVE-GUIDE ; TEMPERATURE ; CIRCULATION ; ANOMALIES ; FLUX ; VARIABILITY ; MECHANISMS
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/225666
专题环境与发展全球科技态势
作者单位1.Univ Washington, Joint Inst Study Ocean & Atmosphere, Seattle, WA 98195 USA;
2.NOAA, Pacific Marine Environm Lab, 7600 Sand Point Way Ne, Seattle, WA 98115 USA
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GB/T 7714
Chiodi, Andrew M.. Diagnosing and Predicting ENSO SSTA Development from Moored-Buoy and Scatterometer Winds[J]. JOURNAL OF CLIMATE,2019,32(24):8755-8770.
APA Chiodi, Andrew M..(2019).Diagnosing and Predicting ENSO SSTA Development from Moored-Buoy and Scatterometer Winds.JOURNAL OF CLIMATE,32(24),8755-8770.
MLA Chiodi, Andrew M.."Diagnosing and Predicting ENSO SSTA Development from Moored-Buoy and Scatterometer Winds".JOURNAL OF CLIMATE 32.24(2019):8755-8770.
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