TY - JOUR
T1 - Future Atmospheric Rivers and Impacts on Precipitation
T2 - Overview of the ARTMIP Tier 2 High-Resolution Global Warming Experiment
AU - Shields, Christine A.
AU - Payne, Ashley E.
AU - Shearer, Eric Jay
AU - Wehner, Michael F.
AU - O’Brien, Travis Allen
AU - Rutz, Jonathan J.
AU - Leung, L. Ruby
AU - Ralph, F. Martin
AU - Marquardt Collow, Allison B.
AU - Ullrich, Paul A.
AU - Dong, Qizhen
AU - Gershunov, Alexander
AU - Griffith, Helen
AU - Guan, Bin
AU - Lora, Juan Manuel
AU - Lu, Mengqian
AU - McClenny, Elizabeth
AU - Nardi, Kyle M.
AU - Pan, Mengxin
AU - Qian, Yun
AU - Ramos, Alexandre M.
AU - Shulgina, Tamara
AU - Viale, Maximiliano
AU - Sarangi, Chandan
AU - Tomé, Ricardo
AU - Zarzycki, Colin
N1 - Publisher Copyright:
© 2023. The Authors.
PY - 2023/3/28
Y1 - 2023/3/28
N2 - 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.
AB - 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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U2 - 10.1029/2022GL102091
DO - 10.1029/2022GL102091
M3 - Article
AN - SCOPUS:85152516996
SN - 0094-8276
VL - 50
JO - Geophysical Research Letters
JF - Geophysical Research Letters
IS - 6
M1 - e2022GL102091
ER -