ARTMIP-early start comparison of atmospheric river detection tools: how many atmospheric rivers hit northern California’s Russian River watershed?

Ralph, F. Martin; Wilson, Anna M.; Shulgina, Tamara; Kawzenuk, Brian; Sellars, Scott; Rutz, Jonathan J.; Lamjiri, Maryam A.; Barnes, Elizabeth A.; Gershunov, Alexander; Guan, Bin; Nardi, Kyle M.; Osborne, Tashiana; Wick, Gary A.

doi:10.1007/s00382-018-4427-5

Cited by 84 publications

(146 citation statements)

References 53 publications

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“…Here we determine the ARs by visually checking the SSMIS IWV imageries using the rules from Ralph et al (2004Ralph et al ( , 2005Ralph et al ( , 2006 and Neiman, Ralph, Wick, Kuo, et al (2008). However, it is not uncommon to get different AR catalogs by using different detection methods or data sets (Ralph, Wilson, et al, 2018). Gershunov et al (2017) created an AR catalog from 1948 to 2017 (http://cw3e.ucsd.edu/Publications/SIO-R1-Catalog/).…”

Section: Description Of the Three Arsmentioning

confidence: 99%

Dynamic Mapping of the Movement of Landfalling Atmospheric Rivers Over Southern California With GPS Data

Wang

Bock

et al. 2019

Geophysical Research Letters

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Atmospheric rivers (ARs) are long, narrow, and transient corridors of strong horizontal water vapor transport that can result in heavy precipitation. Measuring the movement of these concentrated water vapor bands is important in gaining better insight into AR characteristics and forecasts of AR‐caused precipitation. We describe a method to dynamically map the movement of landfalling ARs. The method utilizes high‐rate GPS observations from a dense network to derive isochrones that represent the AR arrival time over specific locations. The generated isochrones show that the three ARs, during landfall over Southern California in January 2017, moved southeastward and took about 10 hr to pass over the study area. Overlaying the topography with isochrones reveals that the Peninsular Ranges slow the movement of the landfalling ARs. The large spacing between two adjacent isochrones, reflecting fast AR movement, is closely related to the increased hourly rain rate.

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Section: Description Of the Three Arsmentioning

confidence: 99%

Dynamic Mapping of the Movement of Landfalling Atmospheric Rivers Over Southern California With GPS Data

Wang

Bock

et al. 2019

Geophysical Research Letters

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“…Guan and Waliser () examined the sensitivity of AR detection to intensity/geometry thresholds and input data sets, but only based on a single AR detection algorithm. Ralph et al (), in an initial pre‐ARTMIP study, quantified uncertainties in AR‐related metrics using ~10 AR detection algorithms but focused on only one location along the California coast. This paper provides a systematic and global intercomparison between different methods by quantifying the uncertainty in current (1980–2017) AR climatology on a global scale, using over 20 AR identification and tracking methods.…”

Section: Introductionmentioning

confidence: 99%

The Atmospheric River Tracking Method Intercomparison Project (ARTMIP): Quantifying Uncertainties in Atmospheric River Climatology

et al. 2019

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Atmospheric rivers (ARs) are now widely known for their association with high‐impact weather events and long‐term water supply in many regions. Researchers within the scientific community have developed numerous methods to identify and track of ARs—a necessary step for analyses on gridded data sets, and objective attribution of impacts to ARs. These different methods have been developed to answer specific research questions and hence use different criteria (e.g., geometry, threshold values of key variables, and time dependence). Furthermore, these methods are often employed using different reanalysis data sets, time periods, and regions of interest. The goal of the Atmospheric River Tracking Method Intercomparison Project (ARTMIP) is to understand and quantify uncertainties in AR science that arise due to differences in these methods. This paper presents results for key AR‐related metrics based on 20+ different AR identification and tracking methods applied to Modern‐Era Retrospective Analysis for Research and Applications Version 2 reanalysis data from January 1980 through June 2017. We show that AR frequency, duration, and seasonality exhibit a wide range of results, while the meridional distribution of these metrics along selected coastal (but not interior) transects are quite similar across methods. Furthermore, methods are grouped into criteria‐based clusters, within which the range of results is reduced. AR case studies and an evaluation of individual method deviation from an all‐method mean highlight advantages/disadvantages of certain approaches. For example, methods with less (more) restrictive criteria identify more (less) ARs and AR‐related impacts. Finally, this paper concludes with a discussion and recommendations for those conducting AR‐related research to consider.

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“…These include side meetings on Atmospheric River Reconnaissance efforts (in addition to the breakout group), the Atmospheric River Tracking Method Intercomparison Project (ARTMIP), and others. Since IARC2016 these groups have released publications together (Lavers et al ., ; Shields et al ., ; Ralph et al ., ; Reynolds et al ., ) and more are in process. These are just a small sample of the collaborative activities fostered by the continued engagement with and dedication to group efforts by members of the AR community.…”

Section: Discussionmentioning

confidence: 99%

“…The ongoing Atmospheric River Tracking Method Intercomparison Project's (ARTMIP) main goal is to understand and quantify uncertainties in AR science based on the choice of the detection/tracking methodology. The climatological characteristics of ARs, such as AR frequency, duration, intensity, and seasonality, are all strongly dependent on the method used to identify ARs (Shields et al, 2018;Ralph et al, 2018b). Taking this into account, a session dedicated to AR Tracking was included in the IARC2018, where the latest results of the ARTMIP project were presented.…”

Section: Sessions Summarymentioning

confidence: 99%

2018 International Atmospheric Rivers Conference: Multi‐disciplinary studies and high‐impact applications of atmospheric rivers

Ramos

Wilson

DeFlorio

et al. 2019

Atmospheric Science Letters

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Atmospheric rivers (ARs) play a vital role in shaping the hydroclimate of many regions globally, and can substantially impact water resource management, emergency response planning, and other socioeconomic entities. The second International Atmospheric Rivers Conference took place at the Scripps Institution of Oceanography, University of California, San Diego, during 25–28 June, 2018, in La Jolla, California, USA. It was sponsored by the Center for Western Weather and Water Extremes (CW3E). A total of 120 people attended the Conference with 94 abstracts submitted and 30 participating students. In addition to the conference, the Student Forecasting Workshop was organised in the same week. During this workshop, students were exposed to AR forecasting tools, and learned examples of how these tools could be used to make decisions for various applications. The main goals of this conference were to bring together experts from across the fields of hydrology, atmospheric, oceanic, and polar sciences, as well as water management, civil engineering, and ecology to advance the state of AR science and to explore the future directions for the field. The conference was organised into traditional oral and poster presentations, along with panel discussions and Breakout Groups. This format allowed enhanced interaction between participants, driving progress within the scientific community and the enhanced communication of societal needs by various stakeholders. Several emerging topics of research were highlighted, including subseasonal‐to‐seasonal (S2S) prediction of ARs and an overview of the AR Reconnaissance campaign. In addition to providing a forum to disseminate and debate new results from scientific talks and posters, the conference was equally effective and useful in linking scientists to users and decision‐makers that require improved knowledge on ARs to manage resources and prepare for hazards. The third International Atmospheric Rivers Conference will be held in Chile in 2020, and hosted by the University of Chile, Santiago.

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ARTMIP-early start comparison of atmospheric river detection tools: how many atmospheric rivers hit northern California’s Russian River watershed?

Cited by 84 publications

References 53 publications

Dynamic Mapping of the Movement of Landfalling Atmospheric Rivers Over Southern California With GPS Data

Dynamic Mapping of the Movement of Landfalling Atmospheric Rivers Over Southern California With GPS Data

The Atmospheric River Tracking Method Intercomparison Project (ARTMIP): Quantifying Uncertainties in Atmospheric River Climatology

2018 International Atmospheric Rivers Conference: Multi‐disciplinary studies and high‐impact applications of atmospheric rivers

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