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Updated: Sep 4, 2025

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Using Generative Art to Convey Past and Future Climate Transitions
Published on: March 31, 2023
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Increases in Future AR Count and Size: Overview of the ARTMIP Tier 2 CMIP5/6 Experiment
T A O'Brien1,2, M F Wehner3, A E Payne4
1Department of Earth and Atmospheric Sciences Indiana University Bloomington IN USA.
Summary
The choice of atmospheric river (AR) detection method significantly impacts future AR projections, more than climate models themselves. Understanding this AR detector uncertainty is crucial for future AR research.
Area of Science:
- Atmospheric science
- Climate modeling
- Hydrology
Background:
- Atmospheric Rivers (ARs) are critical for global weather and water cycles.
- Quantifying uncertainties in AR detection is vital for climate change impact studies.
Purpose of the Study:
- To assess the impact of Atmospheric River Detector (ARDT) uncertainties on scientific understanding of ARs.
- To analyze ARTMIP Tier 2 experimental design and initial results using CMIP5/6 ensembles.
Main Methods:
- Utilized Coupled Model Intercomparison Project (CMIP) Phases 5 and 6 multi-model ensembles.
- Compared AR statistics from various ARDTs against MERRA-2 reanalysis for historical and future simulations.
Main Results:
- AR statistics from CMIP5/6 simulations align well with MERRA-2 reanalysis.
- Most ARDTs project increased global AR frequency, counts, and sizes in future climate scenarios, particularly on western coastlines.
- ARDT choice is the primary source of uncertainty in projected AR frequency, exceeding climate model uncertainty.
Conclusions:
- The selection of an ARDT is a dominant factor in projecting future AR changes.
- Future research on ARs must incorporate ARDT uncertainty into experimental designs.
- This study highlights the need for standardized AR detection methods or explicit uncertainty quantification.
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