4.6 Article

Increases in Future AR Count and Size: Overview of the ARTMIP Tier 2 CMIP5/6 Experiment

Journal

Publisher

AMER GEOPHYSICAL UNION
DOI: 10.1029/2021JD036013

Keywords

atmospheric river; CMIP; ARTMIP; climate change; extreme precipitation

Funding

  1. Office of Science, Office of Biological and Environmental Research of the U.S. Department of Energy Regional and Global Climate Modeling Program (RGMA)
  2. Office of Science of the U.S. Department of Energy [DE-AC02-05CH11231]
  3. U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, Climate and Environmental Sciences Division, Regional and Global Model Analysis Program [DE-AC02-05CH11231]
  4. Environmental Resilience Institute - Indiana University
  5. Lilly Endowment Inc.
  6. FundacAo para a Ciencia e Tecnologia (FCT, Portugal) [PTDC/CTA-MET/29233/2017]
  7. FCT [CEECIND/00027/2017]
  8. FCT/MCTES [UIDP/500017/2020+UIDB/500017/2020]
  9. FCT Project ATLACE [CIRCNA/CAC/0273/2019]
  10. Ridge to Reef Graduate Training Program - NSF-NRT award [DGE-1735040]
  11. US Department of Energy Office of Science Biological and Environmental Research (BER) as part of the Regional and Global Model Analysis program
  12. Center for Western Weather and Water Extremes (CW3E) at Scripps Institute for Oceanography at the University of California, San Diego
  13. Fundação para a Ciência e a Tecnologia [PTDC/CTA-MET/29233/2017] Funding Source: FCT

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The ARTMIP project assesses the impact of uncertainties from AR detectors on our understanding of atmospheric rivers. The study compares AR statistics from CMIP5/6 simulations with reanalysis data and finds good agreement. Future simulations project an increase in AR frequency, counts, and sizes, especially along the western coastlines of the Pacific and Atlantic oceans. The choice of AR detector is the main contributor to the uncertainty in projected AR frequency.
The Atmospheric River (AR) Tracking Method Intercomparison Project (ARTMIP) is a community effort to systematically assess how the uncertainties from AR detectors (ARDTs) impact our scientific understanding of ARs. This study describes the ARTMIP Tier 2 experimental design and initial results using the Coupled Model Intercomparison Project (CMIP) Phases 5 and 6 multi-model ensembles. We show that AR statistics from a given ARDT in CMIP5/6 historical simulations compare remarkably well with the MERRA-2 reanalysis. In CMIP5/6 future simulations, most ARDTs project a global increase in AR frequency, counts, and sizes, especially along the western coastlines of the Pacific and Atlantic oceans. We find that the choice of ARDT is the dominant contributor to the uncertainty in projected AR frequency when compared with model choice. These results imply that new projects investigating future changes in ARs should explicitly consider ARDT uncertainty as a core part of the experimental design.

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