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Volume 11, issue 6 | Copyright
Geosci. Model Dev., 11, 2455-2474, 2018
https://doi.org/10.5194/gmd-11-2455-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Methods for assessment of models 20 Jun 2018

Methods for assessment of models | 20 Jun 2018

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

Christine A. Shields1, Jonathan J. Rutz2, Lai-Yung Leung3, F. Martin Ralph4, Michael Wehner5, Brian Kawzenuk4, Juan M. Lora6, Elizabeth McClenny7, Tashiana Osborne4, Ashley E. Payne8, Paul Ullrich7, Alexander Gershunov4, Naomi Goldenson9, Bin Guan10, Yun Qian3, Alexandre M. Ramos11, Chandan Sarangi3, Scott Sellars4, Irina Gorodetskaya12, Karthik Kashinath13, Vitaliy Kurlin14, Kelly Mahoney15, Grzegorz Muszynski13,14, Roger Pierce16, Aneesh C. Subramanian4, Ricardo Tome11, Duane Waliser17, Daniel Walton18, Gary Wick15, Anna Wilson4, David Lavers19, Prabhat5, Allison Collow20, Harinarayan Krishnan5, Gudrun Magnusdottir21, and Phu Nguyen22 Christine A. Shields et al.
  • 1Climate and Global Dynamics Division, National Center for Atmospheric Research, Boulder, CO 80302, USA
  • 2Science and Technology Infusion Division, National Weather Service Western Region Headquarters, National Oceanic and Atmospheric Administration, Salt Lake City, UT 84138, USA
  • 3Earth Systems Analysis and Modeling, Pacific Northwest National Laboratory, Richland, WA 99354, USA
  • 4Center for Western Weather and Water Extremes, Scripps Institution of Oceanography, La Jolla, CA 92037, USA
  • 5Computational Chemistry, Materials, and Climate Group, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
  • 6Department of Earth, Planetary, and Space Sciences, University of California, Los Angeles, CA 90095, USA
  • 7Department of Land, Air and Water Resources, University of California, Davis, CA 95616, USA
  • 8Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI 48109, USA
  • 9Department of Atmospheric Sciences, University of Washington, Seattle, WA 98195, USA
  • 10Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, CA 90095, USA
  • 11Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisbon, Portugal
  • 12Centre for Environmental and Marine Studies, University of Aveiro, 3810-193 Aveiro, Portugal
  • 13Data & Analytics Services, National Energy Research Scientific Computing Center (NERSC), Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
  • 14Department Computer Science Liverpool, Liverpool, L69 3BX, UK
  • 15Physical Sciences Division, Earth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
  • 16National Weather Service Forecast Office, National Oceanic and Atmospheric Administration, San Diego, CA 92127, USA
  • 17Earth Science and Technology Directorate, Jet Propulsion Laboratory, Pasadena, CA 91109, USA
  • 18Institute of the Environment and Sustainability, University of California, Los Angeles, CA 90095, USA
  • 19European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX, UK
  • 20Universities Space Research Association, Columbia, MD 21046, USA
  • 21Department of Earth System Science, University of California Irvine, Irvine, CA 92697, USA
  • 22Department of Civil & Environmental Engineering, University of California Irvine, Irvine, CA 92697, USA

Abstract. 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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ARTMIP (Atmospheric River Tracking Method Intercomparison Project) is a community effort with the explicit goal of understanding the uncertainties, and the implications of those uncertainties, in atmospheric river science solely due to detection algorithm. ARTMIP strives to quantify these differences and provide guidance on appropriate algorithmic choices for the science question posed. Project goals, experimental design, and preliminary results are provided.
ARTMIP (Atmospheric River Tracking Method Intercomparison Project) is a community effort with...
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