Evaluating uncertainty and modes of variability for Antarctic atmospheric rivers

Antarctic atmospheric rivers (ARs) are driven by their synoptic environments and lead to profound and varying impacts along the coastlines and over the continent. The definition and detection of ARs over Antarctica accounts for large uncertainty in AR metrics, and consequently, impacts quantificatio...

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Published in:Geophysical Research Letters
Other Authors: Shields, Christine A. (author), Wille, Jonathan D. (author), Marquardt Collow, Allison B. (author), Maclennan, Michelle (author), Gorodetskaya, Irina V. (author)
Format: Article in Journal/Newspaper
Language:English
Published: 2022
Subjects:
Online Access:https://doi.org/10.1029/2022GL099577
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spelling ftncar:oai:drupal-site.org:articles_25672 2024-04-14T08:04:20+00:00 Evaluating uncertainty and modes of variability for Antarctic atmospheric rivers Shields, Christine A. (author) Wille, Jonathan D. (author) Marquardt Collow, Allison B. (author) Maclennan, Michelle (author) Gorodetskaya, Irina V. (author) 2022-08-28 https://doi.org/10.1029/2022GL099577 en eng Geophysical Research Letters--Geophysical Research Letters--0094-8276--1944-8007 MERRA-2 tavgM_2d_ocn_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Ocean Surface Diagnostics V5.12.4--10.5067/4IASLIDL8EEC MERRA-2 tavg1_2d_flx_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Surface Flux Diagnostics V5.12.4--10.5067/7MCPBJ41Y0K6 MERRA-2 tavgM_2d_slv_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Single-Level Diagnostics V5.12.4--10.5067/AP1B0BA5PD2K MERRA-2 inst3_3d_asm_Np: 3d,3-Hourly,Instantaneous,Pressure-Level,Assimilation,Assimilated Meteorological Fields V5.12.4--10.5067/QBZ6MG944HW0 articles:25672 doi:10.1029/2022GL099577 ark:/85065/d79s1vtb Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. article Text 2022 ftncar https://doi.org/10.1029/2022GL099577 2024-03-21T18:00:26Z Antarctic atmospheric rivers (ARs) are driven by their synoptic environments and lead to profound and varying impacts along the coastlines and over the continent. The definition and detection of ARs over Antarctica accounts for large uncertainty in AR metrics, and consequently, impacts quantification. We find that Antarctic-specific detection tools consistently capture the AR footprint inland over ice sheets, whereas most global detection tools do not. Large-scale synoptic environments and associated ARs, however, are broadly consistent across detection tools. Using data from the Atmospheric River Tracking Method Intercomparison Project and global reanalyses, we quantify the uncertainty in Antarctic AR metrics and evaluate large-scale environments in the context of decadal and interannual modes of variability. The Antarctic western hemisphere has stronger connections to both decadal and interannual modes of variability compared to East Antarctica, and the Indian Ocean Dipole's influence on Antarctic ARs is stronger while in phase with El Nino Southern Oscillation. 1852977 1947282 DE-SC0022070 Article in Journal/Newspaper Antarc* Antarctic Antarctica East Antarctica OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) Antarctic East Antarctica Indian The Antarctic Geophysical Research Letters 49 16
institution Open Polar
collection OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research)
op_collection_id ftncar
language English
description Antarctic atmospheric rivers (ARs) are driven by their synoptic environments and lead to profound and varying impacts along the coastlines and over the continent. The definition and detection of ARs over Antarctica accounts for large uncertainty in AR metrics, and consequently, impacts quantification. We find that Antarctic-specific detection tools consistently capture the AR footprint inland over ice sheets, whereas most global detection tools do not. Large-scale synoptic environments and associated ARs, however, are broadly consistent across detection tools. Using data from the Atmospheric River Tracking Method Intercomparison Project and global reanalyses, we quantify the uncertainty in Antarctic AR metrics and evaluate large-scale environments in the context of decadal and interannual modes of variability. The Antarctic western hemisphere has stronger connections to both decadal and interannual modes of variability compared to East Antarctica, and the Indian Ocean Dipole's influence on Antarctic ARs is stronger while in phase with El Nino Southern Oscillation. 1852977 1947282 DE-SC0022070
author2 Shields, Christine A. (author)
Wille, Jonathan D. (author)
Marquardt Collow, Allison B. (author)
Maclennan, Michelle (author)
Gorodetskaya, Irina V. (author)
format Article in Journal/Newspaper
title Evaluating uncertainty and modes of variability for Antarctic atmospheric rivers
spellingShingle Evaluating uncertainty and modes of variability for Antarctic atmospheric rivers
title_short Evaluating uncertainty and modes of variability for Antarctic atmospheric rivers
title_full Evaluating uncertainty and modes of variability for Antarctic atmospheric rivers
title_fullStr Evaluating uncertainty and modes of variability for Antarctic atmospheric rivers
title_full_unstemmed Evaluating uncertainty and modes of variability for Antarctic atmospheric rivers
title_sort evaluating uncertainty and modes of variability for antarctic atmospheric rivers
publishDate 2022
url https://doi.org/10.1029/2022GL099577
geographic Antarctic
East Antarctica
Indian
The Antarctic
geographic_facet Antarctic
East Antarctica
Indian
The Antarctic
genre Antarc*
Antarctic
Antarctica
East Antarctica
genre_facet Antarc*
Antarctic
Antarctica
East Antarctica
op_relation Geophysical Research Letters--Geophysical Research Letters--0094-8276--1944-8007
MERRA-2 tavgM_2d_ocn_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Ocean Surface Diagnostics V5.12.4--10.5067/4IASLIDL8EEC
MERRA-2 tavg1_2d_flx_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Surface Flux Diagnostics V5.12.4--10.5067/7MCPBJ41Y0K6
MERRA-2 tavgM_2d_slv_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Single-Level Diagnostics V5.12.4--10.5067/AP1B0BA5PD2K
MERRA-2 inst3_3d_asm_Np: 3d,3-Hourly,Instantaneous,Pressure-Level,Assimilation,Assimilated Meteorological Fields V5.12.4--10.5067/QBZ6MG944HW0
articles:25672
doi:10.1029/2022GL099577
ark:/85065/d79s1vtb
op_rights Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
op_doi https://doi.org/10.1029/2022GL099577
container_title Geophysical Research Letters
container_volume 49
container_issue 16
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