Artículo

Future Atmospheric Rivers and Impacts on Precipitation: Overview of the ARTMIP Tier 2 High-Resolution Global Warming Experiment

Shields, Christine A. Icon; Payne, Ashley E. ; Shearer, Eric Jay ; Wehner, Michael Icon; O'Brien, Travis Allen ; Rutz, Jonathan J. Icon; Leung, Ruby Icon; Ralph, F. Martin ; Marquardt Collow, Allison B. ; Ullrich, Paul Icon; Dong, Qizhen ; Gershunov, Alexander ; Griffith, Helen ; Guan, Bin Icon; Lora, Juan Manuel ; Lu, Mengqian ; McClenny, Elizabeth ; Nardi, Kyle M. ; Pan, Mengxin ; Qian, Yun ; Ramos, Alexandre M. Icon; Shulgina, Tamara ; Viale, Maximiliano Icon; Sarangi, Chandan ; Tomé, Ricardo ; Zarzycki, Colin

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Fecha

2023-03-14

Editorial

American Geophysical Union

Revista

Geophysical Research Letters

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Institución organizadora

ISSN

0094-8276

eISSN

1944-8007

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Resumen

Atmospheric rivers (ARs) are long, narrow synoptic scale weather features important for Earth’s hydrological cycle typically transporting water vapor poleward, delivering precipitation important for local climates. Understanding ARs in a warming climate is problematic because the AR response to climate change is tied to how the feature is defined. The Atmospheric River Tracking Method Intercomparison Project (ARTMIP) provides insights into this problem by comparing 16 atmospheric river detection tools (ARDTs) to a common data set consisting of high resolution climate change simulations from a global atmospheric general circulation model. ARDTs mostly show increases in frequency and intensity, but the scale of the response is largely dependent on algorithmic criteria. Across ARDTs, bulk characteristics suggest intensity and spatial footprint are inversely correlated, and most focus regions experience increases in precipitation volume coming from extreme ARs. The spread of the AR precipitation response under climate change is large and dependent on ARDT selection.

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