Atmospheric River Tracking Method Intercomparison Project (ARTMIP): project goals and experimental design

The Atmospheric River Tracking Method Intercomparison Project (ARTMIP) is an international collaborative effort to understand and quantify the uncertainties in atmospheric river (AR) science based on detection algorithm alone. Currently, there are many AR identification and tracking algorithms in the literature with a wide range of techniques and conclusions. ARTMIP strives to provide the community with information on different methodologies and provide guidance on the most appropriate algorithm for a given science question or region of interest. All ARTMIP participants will implement their detection algorithms on a specified common dataset for a defined period of time. The project is divided into two phases: Tier 1 will utilize the Modern-Era Retrospective analysis for Research and Applications, version 2 (MERRA-2) reanalysis from January 1980 to June 2017 and will be used as a baseline for all subsequent comparisons. Participation in Tier 1 is required. Tier 2 will be optional and include sensitivity studies designed around specific science questions, such as reanalysis uncertainty and climate change. High-resolution reanalysis and/or model output will be used wherever possible. Proposed metrics include AR frequency, duration, intensity, and precipitation attributable to ARs. Here, we present the ARTMIP experimental design, timeline, project requirements, and a brief description of the variety of methodologies in the current literature. We also present results from our 1-month "proof-of-concept" trial run designed to illustrate the utility and feasibility of the ARTMIP project.

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Related Dataset #1 : 3-hourly MERRA2 IVT, uIVT, vIVT, IWV data computed for ARTMIP

Related Dataset #2 : MERRA-2 inst3_3d_asm_Np: 3d,3-Hourly,Instantaneous,Pressure-Level,Assimilation,Assimilated Meteorological Fields V5.12.4
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Copyright 2018 Author(s). This work is licensed under a Creative Commons Attribution 4.0 International license.
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Author Shields, Christine A.
Rutz, Jonathan J.
Leung, Lai-Yung
Ralph, F. Martin
Wehner, Michael
Kawzenuk, Brian
Lora, Juan M.
McClenny, Elizabeth
Osborne, Tashiana
Payne, Ashley E.
Ullrich, Paul
Gershunov, Alexander
Goldenson, Naomi
Guan, Bin
Qian, Yun
Ramos, Alexandre M.
Sarangi, Chandan
Sellars, Scott
Gorodetskaya, Irina
Kashinath, Karthik
Kurlin, Vitaliy
Mahoney, Kelly
Muszynski, Grzegorz
Pierce, Roger
Subramanian, Aneesh C.
Tome, Ricardo
Waliser, Duane
Walton, Daniel
Wick, Gary
Wilson, Anna
Lavers, David
Collow, Allison
Krishnan, Harinarayan
Magnusdottir, Gudrun
Nguyen, Phu
Publisher UCAR/NCAR - Library
Publication Date 2018-06-20T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T19:15:01.936277
Metadata Record Identifier edu.ucar.opensky::articles:21732
Metadata Language eng; USA
Suggested Citation Shields, Christine A., Rutz, Jonathan J., Leung, Lai-Yung, Ralph, F. Martin, Wehner, Michael, Kawzenuk, Brian, Lora, Juan M., McClenny, Elizabeth, Osborne, Tashiana, Payne, Ashley E., Ullrich, Paul, Gershunov, Alexander, Goldenson, Naomi, Guan, Bin, Qian, Yun, Ramos, Alexandre M., Sarangi, Chandan, Sellars, Scott, Gorodetskaya, Irina, Kashinath, Karthik, Kurlin, Vitaliy, Mahoney, Kelly, Muszynski, Grzegorz, Pierce, Roger, Subramanian, Aneesh C., Tome, Ricardo, Waliser, Duane, Walton, Daniel, Wick, Gary, Wilson, Anna, Lavers, David, Collow, Allison, Krishnan, Harinarayan, Magnusdottir, Gudrun, Nguyen, Phu. (2018). Atmospheric River Tracking Method Intercomparison Project (ARTMIP): project goals and experimental design. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7xk8j92. Accessed 16 March 2025.

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