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

Journal Article · · Geoscientific Model Development (Online)
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  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)

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 agiven 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.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Contributing Organization:
Prabhat
Grant/Contract Number:
AC05-76RL01830; AC02-05CH11231
OSTI ID:
1458773
Alternate ID(s):
OSTI ID: 1506318
Report Number(s):
PNNL-SA-130655
Journal Information:
Geoscientific Model Development (Online), Vol. 11, Issue 6; ISSN 1991-9603
Publisher:
European Geosciences UnionCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 166 works
Citation information provided by
Web of Science

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Cited By (28)

2018 International Atmospheric Rivers Conference: Multi‐disciplinary studies and high‐impact applications of atmospheric rivers journal July 2019
Internet of Things for Environmental Sustainability and Climate Change book December 2019
Internet of Things for Water Sustainability book December 2019
ARTMIP-early start comparison of atmospheric river detection tools: how many atmospheric rivers hit northern California’s Russian River watershed? journal September 2018
North American extreme precipitation events and related large-scale meteorological patterns: a review of statistical methods, dynamics, modeling, and trends journal September 2019
Maximizing ENSO as a source of western US hydroclimate predictability journal October 2019
Predictability of Extreme Precipitation in Western U.S. Watersheds Based on Atmospheric River Occurrence, Intensity, and Duration journal November 2018
Sensitivity of Seasonal Snowfall Attribution to Atmospheric Rivers and Their Reanalysis-Based Detection journal January 2019
Modulation of Atmospheric River Occurrence and Associated Precipitation Extremes in the North Atlantic Region by European Weather Regimes journal January 2019
Life Cycle of Atmospheric Rivers: Identification and Climatological Characteristics journal November 2018
Recent Warming of Landfalling Atmospheric Rivers Along the West Coast of the United States journal July 2019
A Novel Atmospheric River Identification Algorithm journal July 2019
Global Climate Model Ensemble Approaches for Future Projections of Atmospheric Rivers journal October 2019
A Framework to Delineate Precipitation‐Runoff Regimes: Precipitation Versus Snowpack in the Western United States journal November 2019
Meridional Heat Transport During Atmospheric Rivers in High‐Resolution CESM Climate Projections journal December 2019
Impact of Atmospheric Rivers on Surface Hydrological Processes in Western U.S. Watersheds journal August 2019
The Atmospheric River Tracking Method Intercomparison Project (ARTMIP): Quantifying Uncertainties in Atmospheric River Climatology journal December 2019
Tracking Atmospheric Rivers Globally: Spatial Distributions and Temporal Evolution of Life Cycle Characteristics journal December 2019
Impact of Distinct Origin Locations on the Life Cycles of Landfalling Atmospheric Rivers Over the U.S. West Coast journal November 2019
Unusual Atmospheric‐River‐Like Structures Coming From Africa Induce Extreme Precipitation Over the Western Mediterranean Sea journal January 2020
West Antarctic surface melt triggered by atmospheric rivers journal October 2019
Precipitation regime change in Western North America: The role of Atmospheric Rivers journal July 2019
Tropical–Mid-Latitude Interactions: Case Study of an Inland-Penetrating Atmospheric River During a Major Winter Storm Over North America journal March 2019
Ocean warming pattern effects on future changes in East Asian atmospheric rivers journal May 2019
Atmospheric rivers drive flood damages in the western United States journal December 2019
Influence of Boreal Winter Intraseasonal Variation of Aleutian Low on Water Vapor Transport and Atmospheric Rivers journal January 2019
Topological data analysis and machine learning for recognizing atmospheric river patterns in large climate datasets journal January 2019
Modulation of Atmospheric River Occurrence and Associated Precipitation Extremes in the North Atlantic Region by European Weather Regimes text January 2019

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