Seasonal prediction and predictability of regional Antarctic sea ice
Compared to the Arctic, seasonal predictions of Antarctic sea ice have received relatively little attention. In this work, we utilize three coupled dynamical prediction systems developed at the Geophysical Fluid Dynamics Laboratory to assess the seasonal prediction skill and predictability of Antarc...
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ftncar:oai:drupal-site.org:articles_24590 2024-04-14T08:04:33+00:00 Seasonal prediction and predictability of regional Antarctic sea ice Bushuk, Mitchell (author) Winton, Michael (author) Haumann, F. Alexander (author) Delworth, Thomas (author) Lu, Feiyu (author) Zhang, Yongfei (author) Jia, Liwei (author) Zhang, Liping (author) Cooke, William (author) Harrison, Matthew (author) Hurlin, Bill (author) Johnson, Nathaniel C. (author) Kapnick, Sarah (author) McHugh, Colleen (author) Murakami, Hiroyuki (author) Rosati, Anthony (author) Tseng, Kai-Chih (author) Wittenberg, Andrew T. (author) Yang, Xiaosong (author) Zeng, Fanrong (author) 2021-08 https://doi.org/10.1175/JCLI-D-20-0965.1 en eng Journal of Climate--0894-8755--1520-0442 Argo float data and metadata from Global Data Assembly Centre (Argo GDAC)--10.17882/42182 Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data, Version 1--10.5067/8GQ8LZQVL0VL articles:24590 doi:10.1175/JCLI-D-20-0965.1 ark:/85065/d7jd5167 Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. article Text 2021 ftncar https://doi.org/10.1175/JCLI-D-20-0965.1 2024-03-21T18:00:26Z Compared to the Arctic, seasonal predictions of Antarctic sea ice have received relatively little attention. In this work, we utilize three coupled dynamical prediction systems developed at the Geophysical Fluid Dynamics Laboratory to assess the seasonal prediction skill and predictability of Antarctic sea ice. These systems, based on the FLOR, SPEAR_LO, and SPEAR_MED dynamical models, differ in their coupled model components, initialization techniques, atmospheric resolution, and model biases. Using suites of retrospective initialized seasonal predictions spanning 1992-2018, we investigate the role of these factors in determining Antarctic sea ice prediction skill and examine the mechanisms of regional sea ice predictability. We find that each system is capable of skillfully predicting regional Antarctic sea ice extent (SIE) with skill that exceeds a persistence forecast. Winter SIE is skillfully predicted 11 months in advance in the Weddell, Amundsen/Bellingshausen, Indian, and west Pacific sectors, whereas winter skill is notably lower in the Ross sector. Zonally advected upper-ocean heat content anomalies are found to provide the crucial source of prediction skill for the winter sea ice edge position. The recently developed SPEAR systems are more skillful than FLOR for summer sea ice predictions, owing to improvements in sea ice concentration and sea ice thickness initialization. Summer Weddell SIE is skillfully predicted up to 9 months in advance in SPEAR_MED, due to the persistence and drift of initialized sea ice thickness anomalies from the previous winter. Overall, these results suggest a promising potential for providing operational Antarctic sea ice predictions on seasonal time scales. NA16NWS4620043 NA18NWS4620043B Article in Journal/Newspaper Antarc* Antarctic Arctic Sea ice OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) Antarctic Arctic Indian Pacific Weddell Journal of Climate 1 68 |
institution |
Open Polar |
collection |
OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) |
op_collection_id |
ftncar |
language |
English |
description |
Compared to the Arctic, seasonal predictions of Antarctic sea ice have received relatively little attention. In this work, we utilize three coupled dynamical prediction systems developed at the Geophysical Fluid Dynamics Laboratory to assess the seasonal prediction skill and predictability of Antarctic sea ice. These systems, based on the FLOR, SPEAR_LO, and SPEAR_MED dynamical models, differ in their coupled model components, initialization techniques, atmospheric resolution, and model biases. Using suites of retrospective initialized seasonal predictions spanning 1992-2018, we investigate the role of these factors in determining Antarctic sea ice prediction skill and examine the mechanisms of regional sea ice predictability. We find that each system is capable of skillfully predicting regional Antarctic sea ice extent (SIE) with skill that exceeds a persistence forecast. Winter SIE is skillfully predicted 11 months in advance in the Weddell, Amundsen/Bellingshausen, Indian, and west Pacific sectors, whereas winter skill is notably lower in the Ross sector. Zonally advected upper-ocean heat content anomalies are found to provide the crucial source of prediction skill for the winter sea ice edge position. The recently developed SPEAR systems are more skillful than FLOR for summer sea ice predictions, owing to improvements in sea ice concentration and sea ice thickness initialization. Summer Weddell SIE is skillfully predicted up to 9 months in advance in SPEAR_MED, due to the persistence and drift of initialized sea ice thickness anomalies from the previous winter. Overall, these results suggest a promising potential for providing operational Antarctic sea ice predictions on seasonal time scales. NA16NWS4620043 NA18NWS4620043B |
author2 |
Bushuk, Mitchell (author) Winton, Michael (author) Haumann, F. Alexander (author) Delworth, Thomas (author) Lu, Feiyu (author) Zhang, Yongfei (author) Jia, Liwei (author) Zhang, Liping (author) Cooke, William (author) Harrison, Matthew (author) Hurlin, Bill (author) Johnson, Nathaniel C. (author) Kapnick, Sarah (author) McHugh, Colleen (author) Murakami, Hiroyuki (author) Rosati, Anthony (author) Tseng, Kai-Chih (author) Wittenberg, Andrew T. (author) Yang, Xiaosong (author) Zeng, Fanrong (author) |
format |
Article in Journal/Newspaper |
title |
Seasonal prediction and predictability of regional Antarctic sea ice |
spellingShingle |
Seasonal prediction and predictability of regional Antarctic sea ice |
title_short |
Seasonal prediction and predictability of regional Antarctic sea ice |
title_full |
Seasonal prediction and predictability of regional Antarctic sea ice |
title_fullStr |
Seasonal prediction and predictability of regional Antarctic sea ice |
title_full_unstemmed |
Seasonal prediction and predictability of regional Antarctic sea ice |
title_sort |
seasonal prediction and predictability of regional antarctic sea ice |
publishDate |
2021 |
url |
https://doi.org/10.1175/JCLI-D-20-0965.1 |
geographic |
Antarctic Arctic Indian Pacific Weddell |
geographic_facet |
Antarctic Arctic Indian Pacific Weddell |
genre |
Antarc* Antarctic Arctic Sea ice |
genre_facet |
Antarc* Antarctic Arctic Sea ice |
op_relation |
Journal of Climate--0894-8755--1520-0442 Argo float data and metadata from Global Data Assembly Centre (Argo GDAC)--10.17882/42182 Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data, Version 1--10.5067/8GQ8LZQVL0VL articles:24590 doi:10.1175/JCLI-D-20-0965.1 ark:/85065/d7jd5167 |
op_rights |
Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
op_doi |
https://doi.org/10.1175/JCLI-D-20-0965.1 |
container_title |
Journal of Climate |
container_start_page |
1 |
op_container_end_page |
68 |
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1796301157534007296 |