Consensus and Disagreement in Atmospheric River Detection: ARTMIP Global Catalogues
Consensus and Disagreement in Atmospheric River Detection: ARTMIP Global Catalogues
复制标题
大气河检测的共识和分歧：ARTMIP 全球目录
DOI：
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发表时间：
2020
影响因子：
5.2
通讯作者：
J. Rutz
中科院分区：
文献类型：
--
作者：
J. Lora;C. Shields;J. Rutz
大气河（ARs）是水汽输送的重要机制，但对其特征和影响的研究依赖于各种各样的检测方法，使比较变得复杂。AR跟踪方法比对项目（ARTMIP）为比较这些方法提供了一个平台，但迄今为止，对ARTMIP目录的分析主要集中在特定地区。在这里，我们研究了由具有全球覆盖的算法集合检测到的ar。我们发现，多数共识ar的发生频率产生了一个稳健的分布，在温带海洋上有五个热点，我们比较了各个算法的结果。我们通过两个AR进化的案例研究进一步探讨了潜在的异同。全球检测方法之间分歧的主要来源包括弱特征的检测（或缺乏检测），而算法往往在ar的足迹上非常一致。
Atmospheric rivers (ARs) constitute an important mechanism for water vapor transport, but research on their characteristics and impacts has relied on a diverse assortment of detection methodologies, complicating comparisons. The AR Tracking Method Intercomparison Project (ARTMIP) provides a platform for comparing such methodologies, but analysis of ARTMIP catalogues has heretofore focused primarily on specific regions. Here we investigate ARs as detected by an ensemble of algorithms with global coverage. We find that the frequency of occurrence of the majority‐consensus ARs produces a robust distribution, featuring five hot spots over the extratropical oceans, against which we compare individual algorithm results. We further explore the underlying similarities and differences via two case studies of AR evolution. The dominant source of disagreement between detection methodologies globally consists of detections (or lack thereof) of weak features, and the algorithms otherwise tend to agree remarkably well on the footprints of ARs.
影响因子：
5.3
作者：
C. Skinner;J. Lora;A. Payne;C. Poulsen
通讯作者：
C. Skinner;J. Lora;A. Payne;C. Poulsen
影响因子：
3.8
作者：
Blamey, R. C.;Ramos, A. M.;Reason, C. J. C.
通讯作者：
Reason, C. J. C.