Influence of sea-ice anomalies on Antarctic precipitation using source attribution in the Community Earth System Model
Abstract. We conduct sensitivity experiments using a general circulation model thathas an explicit water source tagging capability forced by prescribedcomposites of pre-industrial sea-ice concentrations (SICs) and correspondingsea surface temperatures (SSTs) to understand the impact of sea-ice anoma...
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ftosti:oai:osti.gov:1605001 2023-07-30T03:59:22+02:00 Influence of sea-ice anomalies on Antarctic precipitation using source attribution in the Community Earth System Model Wang, Hailong Fyke, Jeremy G. Lenaerts, Jan Nusbaumer, Jesse M. Singh, Hansi AK Noone, David C. Rasch, Philip J. Zhang, Rudong 2023-07-03 application/pdf http://www.osti.gov/servlets/purl/1605001 https://www.osti.gov/biblio/1605001 https://doi.org/10.5194/tc-14-429-2020 unknown http://www.osti.gov/servlets/purl/1605001 https://www.osti.gov/biblio/1605001 https://doi.org/10.5194/tc-14-429-2020 doi:10.5194/tc-14-429-2020 54 ENVIRONMENTAL SCIENCES 2023 ftosti https://doi.org/10.5194/tc-14-429-2020 2023-07-11T09:40:34Z Abstract. We conduct sensitivity experiments using a general circulation model thathas an explicit water source tagging capability forced by prescribedcomposites of pre-industrial sea-ice concentrations (SICs) and correspondingsea surface temperatures (SSTs) to understand the impact of sea-ice anomalies on regional evaporation, moisture transport and source–receptorrelationships for Antarctic precipitation in the absence of anthropogenicforcing. Surface sensible heat fluxes, evaporation and column-integratedwater vapor are larger over Southern Ocean (SO) areas with lower SICs. Changes inAntarctic precipitation and its source attribution with SICs have a strongspatial variability. Among the tagged source regions, the Southern Ocean(south of 50°S) contributes the most (40 %) to the Antarctictotal precipitation, followed by more northerly ocean basins, most notablythe South Pacific Ocean (27%), southern Indian Ocean (16 %) and SouthAtlantic Ocean (11 %). Comparing two experiments prescribed with high andlow pre-industrial SICs, respectively, the annual mean Antarcticprecipitation is about 150 Gt yr- 1 (or 6 %) more in the lower SICcase than in the higher SIC case. This difference is larger than themodel-simulated interannual variability in Antarctic precipitation (99 Gt yr-1). The contrast in contribution from the Southern Ocean, 102 Gt yr-1, is even more significant compared to the interannualvariability of 35 Gt yr-1 in Antarctic precipitation that originatesfrom the Southern Ocean. The horizontal transport pathways from individualvapor source regions to Antarctica are largely determined by large-scaleatmospheric circulation patterns. Vapor from lower-latitude source regionstakes elevated pathways to Antarctica. In contrast, vapor from the SouthernOcean moves southward within the lower troposphere to the Antarcticcontinent along moist isentropes that are largely shaped by local ambientconditions and coastal topography. This study also highlights the importance of atmospheric dynamics in affecting the ... Other/Unknown Material Antarc* Antarctic Antarctica Sea ice Southern Ocean SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Antarctic Indian Pacific Southern Ocean The Cryosphere 14 2 429 444 |
institution |
Open Polar |
collection |
SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
op_collection_id |
ftosti |
language |
unknown |
topic |
54 ENVIRONMENTAL SCIENCES |
spellingShingle |
54 ENVIRONMENTAL SCIENCES Wang, Hailong Fyke, Jeremy G. Lenaerts, Jan Nusbaumer, Jesse M. Singh, Hansi AK Noone, David C. Rasch, Philip J. Zhang, Rudong Influence of sea-ice anomalies on Antarctic precipitation using source attribution in the Community Earth System Model |
topic_facet |
54 ENVIRONMENTAL SCIENCES |
description |
Abstract. We conduct sensitivity experiments using a general circulation model thathas an explicit water source tagging capability forced by prescribedcomposites of pre-industrial sea-ice concentrations (SICs) and correspondingsea surface temperatures (SSTs) to understand the impact of sea-ice anomalies on regional evaporation, moisture transport and source–receptorrelationships for Antarctic precipitation in the absence of anthropogenicforcing. Surface sensible heat fluxes, evaporation and column-integratedwater vapor are larger over Southern Ocean (SO) areas with lower SICs. Changes inAntarctic precipitation and its source attribution with SICs have a strongspatial variability. Among the tagged source regions, the Southern Ocean(south of 50°S) contributes the most (40 %) to the Antarctictotal precipitation, followed by more northerly ocean basins, most notablythe South Pacific Ocean (27%), southern Indian Ocean (16 %) and SouthAtlantic Ocean (11 %). Comparing two experiments prescribed with high andlow pre-industrial SICs, respectively, the annual mean Antarcticprecipitation is about 150 Gt yr- 1 (or 6 %) more in the lower SICcase than in the higher SIC case. This difference is larger than themodel-simulated interannual variability in Antarctic precipitation (99 Gt yr-1). The contrast in contribution from the Southern Ocean, 102 Gt yr-1, is even more significant compared to the interannualvariability of 35 Gt yr-1 in Antarctic precipitation that originatesfrom the Southern Ocean. The horizontal transport pathways from individualvapor source regions to Antarctica are largely determined by large-scaleatmospheric circulation patterns. Vapor from lower-latitude source regionstakes elevated pathways to Antarctica. In contrast, vapor from the SouthernOcean moves southward within the lower troposphere to the Antarcticcontinent along moist isentropes that are largely shaped by local ambientconditions and coastal topography. This study also highlights the importance of atmospheric dynamics in affecting the ... |
author |
Wang, Hailong Fyke, Jeremy G. Lenaerts, Jan Nusbaumer, Jesse M. Singh, Hansi AK Noone, David C. Rasch, Philip J. Zhang, Rudong |
author_facet |
Wang, Hailong Fyke, Jeremy G. Lenaerts, Jan Nusbaumer, Jesse M. Singh, Hansi AK Noone, David C. Rasch, Philip J. Zhang, Rudong |
author_sort |
Wang, Hailong |
title |
Influence of sea-ice anomalies on Antarctic precipitation using source attribution in the Community Earth System Model |
title_short |
Influence of sea-ice anomalies on Antarctic precipitation using source attribution in the Community Earth System Model |
title_full |
Influence of sea-ice anomalies on Antarctic precipitation using source attribution in the Community Earth System Model |
title_fullStr |
Influence of sea-ice anomalies on Antarctic precipitation using source attribution in the Community Earth System Model |
title_full_unstemmed |
Influence of sea-ice anomalies on Antarctic precipitation using source attribution in the Community Earth System Model |
title_sort |
influence of sea-ice anomalies on antarctic precipitation using source attribution in the community earth system model |
publishDate |
2023 |
url |
http://www.osti.gov/servlets/purl/1605001 https://www.osti.gov/biblio/1605001 https://doi.org/10.5194/tc-14-429-2020 |
geographic |
Antarctic Indian Pacific Southern Ocean |
geographic_facet |
Antarctic Indian Pacific Southern Ocean |
genre |
Antarc* Antarctic Antarctica Sea ice Southern Ocean |
genre_facet |
Antarc* Antarctic Antarctica Sea ice Southern Ocean |
op_relation |
http://www.osti.gov/servlets/purl/1605001 https://www.osti.gov/biblio/1605001 https://doi.org/10.5194/tc-14-429-2020 doi:10.5194/tc-14-429-2020 |
op_doi |
https://doi.org/10.5194/tc-14-429-2020 |
container_title |
The Cryosphere |
container_volume |
14 |
container_issue |
2 |
container_start_page |
429 |
op_container_end_page |
444 |
_version_ |
1772810146313928704 |