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

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 clim...

Full description

Bibliographic Details
Authors: Shields, Christine A., Payne, Ashley E., Shearer, Eric Jay, Wehner, Michael, O'Brien, Travis Allen, Rutz, Jonathan J., Leung, Ruby, Ralph, F. Martin, Marquardt Collow, Allison B., Ullrich, Paul, Dong, Qizhen, Gershunov, Alexander, Griffith, Helen, Guan, Bin, Lora, Juan Manuel, Lu, Mengqian, McClenny, Elizabeth, Nardi, Kyle M., Pan, Mengxin, Qian, Yun, Ramos, Alexandre M., Shulgina, Tamara, Viale, Maximiliano, Sarangi, Chandan, Tomé, Ricardo, Zarzycki, Colin
Format: article
Status:Published version
Publication Date:2023
Country:Argentina
Institution:Consejo Nacional de Investigaciones Científicas y Técnicas
Repository:CONICET Digital (CONICET)
Language:English
OAI Identifier:oai:ri.conicet.gov.ar:11336/233400
Online Access:http://hdl.handle.net/11336/233400
Access Level:Open access
Keyword:ATMOSPHERIC RIVER DETECTION TOOLS
ATMOSPHERIC RIVERS
CLIMATOLOGY
HIGH RESOLUTION CLIMATE CHANGE
PRECIPITATION AND EXTREMES
UNCERTAINTY QUANTIFICATION
https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
Description
Summary: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.

Similar Items