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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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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1796300796342566912 |