Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2016GL071606 |
Assessing sensitivities in algorithmic detection of tropical cyclones in climate data | |
Zarzycki, Colin M.1; Ullrich, Paul A.2 | |
2017-01-28 | |
发表期刊 | GEOPHYSICAL RESEARCH LETTERS |
ISSN | 0094-8276 |
EISSN | 1944-8007 |
出版年 | 2017 |
卷号 | 44期号:2 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | This study applies a sensitivity analysis (SA) technique (the Morris method, MM) to an automated Lagrangian tropical cyclone (TC) tracking algorithm used on gridded climate data. MM demonstrates the ability to screen for input parameters defining TCs (such as minimum intensity and lifetime) that contribute significantly to sensitivity in output metrics (such as storm count). The SA is performed by tracking TCs in four different reanalyses. Tracked TC trajectories are compared to a pointwise observational record. Results show that using thermally integrated metrics for isolating TC warm cores is superior to single-temperature levels. Input thresholds defining TC vortex strength during tracking contribute the most variance in all output metrics. Integrated output metrics (such as accumulated cyclone energy) are less variable than counting metrics such as TC frequency. MM greatly reduces the computational requirements for tracker optimization, with tracked TCs demonstrating better hit and false alarm rates than previous studies. |
英文关键词 | tropical cyclones tracking climate data reanalysis climate extremes detection |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000395652600063 |
WOS关键词 | JRA-25 REANALYSIS ; MODEL RESOLUTION ; SIMULATION ; IBTRACS ; IMPACT ; WIND |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
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/25727 |
专题 | 气候变化 |
作者单位 | 1.Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80307 USA; 2.Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA |
推荐引用方式 GB/T 7714 | Zarzycki, Colin M.,Ullrich, Paul A.. Assessing sensitivities in algorithmic detection of tropical cyclones in climate data[J]. GEOPHYSICAL RESEARCH LETTERS,2017,44(2). |
APA | Zarzycki, Colin M.,&Ullrich, Paul A..(2017).Assessing sensitivities in algorithmic detection of tropical cyclones in climate data.GEOPHYSICAL RESEARCH LETTERS,44(2). |
MLA | Zarzycki, Colin M.,et al."Assessing sensitivities in algorithmic detection of tropical cyclones in climate data".GEOPHYSICAL RESEARCH LETTERS 44.2(2017). |
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