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DOI | 10.1007/s00382-018-4427-5 |
ARTMIP-early start comparison of atmospheric river detection tools: how many atmospheric rivers hit northern California’s Russian River watershed? | |
Ralph F.M.; Wilson A.M.; Shulgina T.; Kawzenuk B.; Sellars S.; Rutz J.J.; Lamjiri M.A.; Barnes E.A.; Gershunov A.; Guan B.; Nardi K.M.; Osborne T.; Wick G.A. | |
发表日期 | 2019 |
ISSN | 0930-7575 |
起始页码 | 4973 |
结束页码 | 4994 |
卷号 | 52期号:2020-07-08 |
英文摘要 | Many atmospheric river detection tools (ARDTs) have now been developed. However, their relative performance is not well documented. This paper compares a diverse set of ARDTs by applying them to a single location where a unique 12-year-long time-series from an atmospheric river observatory at Bodega Bay, California is available. The study quantifies the sensitivity of the diagnosed number, duration, and intensity of ARs at this location to the choice of ARDT, and to the choice of reanalysis data set. The ARDTs compared here represent a range of methods that vary in their use of different variables, fixed vs. percentile-based thresholds, geometric shape requirements, Eulerian vs. Lagrangian approaches, and reanalyses. The ARDTs were evaluated first using the datasets documented in their initial publication, which found an average annual count of 19 ± 7. Applying the ARDTs to the same reanalysis dataset yields an average annual count of 19 ± 4. Applying a single ARDT to three reanalyses of varying grid sizes (0.5°, 1.0°–2.5°) showed little sensitivity to the choice of reanalysis. While the annual average AR event count varied by about a factor of two (10–25 per year) depending on the ARDT, average AR duration and maximum intensity varied by less than ± 10%, i.e., 24 ± 2 h duration; 458 ± 44 kg m − 1 s − 1 maximum IVT. ARDTs that use a much higher threshold for integrated vapor transport were compared separately, and yielded just 1–2 ARs annually on average. Generally, ARDTs that include either more stringent geometric criteria or higher thresholds identified the fewest AR events. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature. |
语种 | 英语 |
scopus关键词 | atmospheric moisture; data set; detection method; quantitative analysis; time series analysis; watershed; Bodega Harbor; California; Russian River; United States |
来源期刊 | Climate Dynamics
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/146372 |
作者单位 | Center for Western Weather and Water Extremes, Scripps Institution of Oceanography, University of California San Diego, 9500 Gilman Drive, #0230, La Jolla, CA 92093-0230, United States; NOAA/NWS/Western Region Headquarters, Salt Lake City, UT, United States; Department of Atmospheric Science, Colorado State University, Fort Collins, CO, United States; Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, CA, United States; NOAA/Earth System Research Laboratory/Physical Sciences Division, Boulder, CO, United States |
推荐引用方式 GB/T 7714 | Ralph F.M.,Wilson A.M.,Shulgina T.,等. ARTMIP-early start comparison of atmospheric river detection tools: how many atmospheric rivers hit northern California’s Russian River watershed?[J],2019,52(2020-07-08). |
APA | Ralph F.M..,Wilson A.M..,Shulgina T..,Kawzenuk B..,Sellars S..,...&Wick G.A..(2019).ARTMIP-early start comparison of atmospheric river detection tools: how many atmospheric rivers hit northern California’s Russian River watershed?.Climate Dynamics,52(2020-07-08). |
MLA | Ralph F.M.,et al."ARTMIP-early start comparison of atmospheric river detection tools: how many atmospheric rivers hit northern California’s Russian River watershed?".Climate Dynamics 52.2020-07-08(2019). |
条目包含的文件 | 条目无相关文件。 |
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