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Title: 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 ofmore » methodologies in the current literature. Furthermore, we also present results from our 1-month proof-of-concept trial run designed to illustrate the utility and feasibility of the ARTMIP project.« less
Authors:
 [1] ;  [2] ;  [3] ;  [4] ; ORCiD logo [5] ; ORCiD logo [4] ;  [6] ;  [7] ;  [4] ;  [8] ;  [7] ;  [4] ;  [9] ;  [6] ;  [3] ; ORCiD logo [10] ;  [3] ;  [4] ;  [11] ;  [5] more »;  [12] ;  [13] ;  [14] ;  [15] ; ORCiD logo [4] ; ORCiD logo [10] ;  [16] ;  [6] ;  [13] ;  [4] ; ORCiD logo [17] ;  [18] ;  [5] ; ORCiD logo [19] ; ORCiD logo [19] « less
  1. National Center for Atmospheric Research, Boulder, CO (United States)
  2. National Oceanic and Atmospheric Administration, Salt Lake City, UT (United States)
  3. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  4. Scripps Institution of Oceanography, La Jolla, CA (United States)
  5. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  6. Univ. of California, Los Angeles, CA (United States)
  7. Univ. of California, Davis, CA (United States)
  8. Univ. of Michigan, Ann Arbor, MI (United States)
  9. Univ. of Washington, Seattle, WA (United States)
  10. Univ. de Lisboa, Lisbon (Portugal)
  11. Univ. of Aveiro, Aveiro (Portugal)
  12. Dept. Computer Science Liverpool, Liverpool (United Kingdom)
  13. National Oceanic and Atmospheric Administration, Boulder, CO (United States)
  14. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Dept. Computer Science Liverpool, Liverpool (United Kingdom)
  15. National Oceanic and Atmospheric Administration, San Diego, CA (United States)
  16. Jet Propulsion Lab., Pasadena, CA (United States)
  17. European Centre for Medium-Range Weather Forecasts, Reading (United Kingdom)
  18. Universities Space Research Assoc., Columbia, MD (United States)
  19. Univ. of California, Irvine, CA (United States)
Publication Date:
Report Number(s):
PNNL-SA-130655
Journal ID: ISSN 1991-9603
Grant/Contract Number:
AC05-76RL01830
Type:
Accepted Manuscript
Journal Name:
Geoscientific Model Development (Online)
Additional Journal Information:
Journal Name: Geoscientific Model Development (Online); Journal Volume: 11; Journal Issue: 6; Journal ID: ISSN 1991-9603
Publisher:
European Geosciences Union
Research Org:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org:
USDOE
Contributing Orgs:
Prabhat
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES
OSTI Identifier:
1458773

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, and Nguyen, Phu. Atmospheric River Tracking Method Intercomparison Project (ARTMIP): project goals and experimental design. United States: N. p., Web. doi:10.5194/gmd-11-2455-2018.
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. Atmospheric River Tracking Method Intercomparison Project (ARTMIP): project goals and experimental design. United States. doi:10.5194/gmd-11-2455-2018.
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, and Nguyen, Phu. 2018. "Atmospheric River Tracking Method Intercomparison Project (ARTMIP): project goals and experimental design". United States. doi:10.5194/gmd-11-2455-2018. https://www.osti.gov/servlets/purl/1458773.
@article{osti_1458773,
title = {Atmospheric River Tracking Method Intercomparison Project (ARTMIP): project goals and experimental design},
author = {Shields, Christine A. and Rutz, Jonathan J. and Leung, Lai -Yung and Ralph, F. Martin and Wehner, Michael and Kawzenuk, Brian and Lora, Juan M. and McClenny, Elizabeth and Osborne, Tashiana and Payne, Ashley E. and Ullrich, Paul and Gershunov, Alexander and Goldenson, Naomi and Guan, Bin and Qian, Yun and Ramos, Alexandre M. and Sarangi, Chandan and Sellars, Scott and Gorodetskaya, Irina and Kashinath, Karthik and Kurlin, Vitaliy and Mahoney, Kelly and Muszynski, Grzegorz and Pierce, Roger and Subramanian, Aneesh C. and Tome, Ricardo and Waliser, Duane and Walton, Daniel and Wick, Gary and Wilson, Anna and Lavers, David and Collow, Allison and Krishnan, Harinarayan and Magnusdottir, Gudrun and Nguyen, Phu},
abstractNote = {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. Furthermore, we also present results from our 1-month proof-of-concept trial run designed to illustrate the utility and feasibility of the ARTMIP project.},
doi = {10.5194/gmd-11-2455-2018},
journal = {Geoscientific Model Development (Online)},
number = 6,
volume = 11,
place = {United States},
year = {2018},
month = {6}
}