# Southern Annular Mode 1000 Year Reconstruction #---------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program # National Centers for Environmental Information (NCEI) #---------------------------------------------------- # Template Version 4.0 # Encoding: UTF-8 # NOTE: Please cite original publication, NOAA Landing Page URL, dataset and publication DOIs (where available), and date accessed when using downloaded data. If there is no publication information, please cite investigator, study title, NOAA Landing Page URL, and date accessed. # # Description/Documentation lines begin with # # Data lines have no # # # NOAA_Landing_Page: https://www.ncei.noaa.gov/access/paleo-search/study/16197 # Landing_Page_Description: NOAA Landing Page of this file's parent study, which includes all study metadata. # # Study_Level_JSON_Metadata: https://www.ncei.noaa.gov/pub/data/metadata/published/paleo/json/noaa-recon-16197.json # Study_Level_JSON_Description: JSON metadata of this data file's parent study, which includes all study metadata. # # Data_Type: Climate Reconstructions # # Dataset_DOI: 10.25921/3egm-zr66 # # Science_Keywords: Southern Annular Mode (SAM), Atmospheric and Oceanic Circulation Patterns Reconstruction #-------------------- # Resource_Links # # Data_Download_Resource: https://www.ncei.noaa.gov/pub/data/paleo/contributions_by_author/abram2014/abram2014sam-noaa.txt # Data_Download_Description: NOAA Template File; Southern Annular Mode (SAM) Index Reconstruction # #-------------------- # Contribution_Date # Date: 2014-05-11 #-------------------- # File_Last_Modified_Date # Date: 2024-08-16 #-------------------- # Title # Study_Name: Southern Annular Mode 1000 Year Reconstruction #-------------------- # Investigators # Investigators: Abram, N.J.(https://orcid.org/0000-0003-1246-2344); Mulvaney, R.(https://orcid.org/0000-0002-5372-8148); Vimeux, F.; Phipps, S.J.(https://orcid.org/0000-0001-5657-8782); Turner, J.(https://orcid.org/0000-0002-6111-5122); England, M.H. #-------------------- # Description_Notes_and_Keywords # Description: 1000 year multiproxy reconstruction of the Southern Annular Mode (SAM) Index. # Primary data sources: James Ross Island ice core 1000 year Deuterium and Melt data; PAGES 2k South America data compilation; PAGES 2k Antarctica data compilation. #-------------------- # Publication # Authors: Nerilie J. Abram, Robert Mulvaney, Françoise Vimeux, Steven J. Phipps, John Turner and Matthew H. England # Journal_Name: Nature Climate Change # Published_Title: Evolution of the Southern Annular Mode during the past millennium # Published_Date_or_Year: 2014 # Volume: 4 # Pages: 564–569 # Issue: # Report_Number: # DOI: 10.1038/nclimate2235 # Full_Citation: # Abstract: The Southern Annular Mode (SAM) is the primary pattern of climate variability in the Southern Hemisphere, influencing latitudinal rainfall distribution and temperatures from the subtropics to Antarctica. The positive summer trend in the SAM over recent decades is widely attributed to stratospheric ozone depletion; however, the brevity of observational records from Antarctica - one of the core zones that defines SAM variability - limits our understanding of long-term SAM behaviour. Here we reconstruct annual mean changes in the SAM since AD 1000 using, for the first time, proxy records that encompass the full mid-latitude to polar domain across the Drake Passage sector. We find that the SAM has undergone a progressive shift towards its positive phase since the fifteenth century, causing cooling of the main Antarctic continent at the same time that the Antarctic Peninsula has warmed. The positive trend in the SAM since ~AD 1940 is reproduced by multimodel climate simulations forced with rising greenhouse gas levels and later ozone depletion, and the long-term average SAM index is now at its highest level for at least the past 1,000 years. Reconstructed SAM trends before the twentieth century are more prominent than those in radiative-forcing climate experiments and may be associated with a teleconnected response to tropical Pacific climate. Our findings imply that predictions of further greenhouse-driven increases in the SAM over the coming century also need to account for the possibility of opposing effects from tropical Pacific climate changes. #-------------------- # Funding_Agency # Funding_Agency_Name: Natural Environment Research Council (NERC) # Grant: Polar Science for Planet Earth #-------------------- # Funding_Agency # Funding_Agency_Name: Australian Research Council # Grant: DP110101161, DP140102059, FL100100214 #-------------------- # Site_Information # Site_Name: Southern Hemisphere Extratropics # Location: Southern Hemisphere # Northernmost_Latitude: -30.0 # Southernmost_Latitude: -90.0 # Easternmost_Longitude: -180.0 # Westernmost_Longitude: 180.0 # Elevation_m: #-------------------- # Data_Collection # Collection_Name: Abram2014SAM # First_Year: 1000 # Last_Year: 2007 # Time_Unit: CE # Core_Length_m: # Parameter_Keywords: atmospheric circulation # Notes: #-------------------- # Chronology_Information # Chronology: #-------------------- # Variables # PaST_Thesaurus_Download_Resource: https://www.ncei.noaa.gov/access/paleo-search/skos/past-thesaurus.rdf # PaST_Thesaurus_Download_Description: Paleoenvironmental Standard Terms (PaST) Thesaurus terms, definitions, and relationships in SKOS format. # # Data variables follow that are preceded by '##' in columns one and two. # Variables list, one per line, shortname-tab-var components: what, material, error, units, seasonality, data type, detail, method, C or N for Character or Numeric data) # ## age_CE age,,,year Common Era,,climate reconstructions;instrumental,,,N, ## SAM_Index Southern Annular Mode,multiple proxies,,dimensionless,annual,climate reconstructions,normalized,composite plus scale,N,relative to 1961-1990AD; weighted composite-plus-scale (CPS) with nesting ## SAM_Index_err Southern Annular Mode,multiple proxies,95% confidence interval margin of error,dimensionless,annual,climate reconstructions,normalized,composite plus scale,N,1.96*rmse; based on standard deviation of the residuals between the SAM reconstruction and the Marshall-SAM Index during the 1957-1995 calibration interval ## RE Southern Annular Mode,,validation reduction of error,dimensionless,annual,climate reconstructions,,,N, ## RE_crit Southern Annular Mode,,validation reduction of error,dimensionless,annual,climate reconstructions,,,N,95% red noise threshold for reduction of error statistic ## SAM_Index_70yloess Southern Annular Mode,multiple proxies,,dimensionless,annual,climate reconstructions,normalized;smoothed,composite plus scale,N,relative to 1961-1990AD; 70y loess filter of annual data; weighted composite-plus-scale (CPS) with nesting ## SAM_Index_+error_70yloess Southern Annular Mode,multiple proxies,95% confidence interval upper bound,dimensionless,annual,climate reconstructions,normalized;smoothed,composite plus scale,N,relative to 1961-1990AD; 70y loess filter of annual data; weighted composite-plus-scale (CPS) with nesting ## SAM_Index_-error_70yloess Southern Annular Mode,multiple proxies,95% confidence interval lower bound,dimensionless,annual,climate reconstructions,normalized;smoothed,composite plus scale,N,relative to 1961-1990AD; 70y loess filter of annual data; weighted composite-plus-scale (CPS) with nesting ## Marshall_SAM_Index Southern Annular Mode,,,dimensionless,annual,instrumental,normalized,,N,Marshall SAM index; http://www.antarctica.ac.uk/met/gjma/sam.html; relative to 1961-1990 AD #-------------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: NaN age_CE SAM_Index SAM_Index_err RE RE_crit SAM_Index_70yloess SAM_Index_+error_70yloess SAM_Index_-error_70yloess Marshall_SAM_Index 2007 -2.655296151 3.217975873 -0.015027173 -0.237162998 1.815785661 4.752762686 -1.119228803 -0.083 2006 2.516331976 3.217975873 -0.015027173 -0.237162998 1.762161571 4.682995177 -1.156848875 2.197 2005 0.250082425 3.236963308 -0.027040701 -0.115012448 1.708566809 4.613421878 -1.194602845 0.987 2004 2.043957771 3.236963308 -0.027040701 -0.115012448 1.655017519 4.544065937 -1.232481077 1.857 2003 0.834729679 3.236963308 -0.027040701 -0.115012448 1.601537923 4.474956102 -1.270463535 1.037 2002 -1.026864971 3.236963308 -0.027040701 -0.115012448 1.54815455 4.406120368 -1.308524764 -0.633 2001 3.034709837 3.236963308 -0.027040701 -0.115012448 1.494902178 4.337592008 -1.346628296 2.257 2000 2.410489643 2.931527482 0.157635528 -0.003791626 1.441827119 4.269414276 -1.384724971 0.947 1999 4.184401754 2.931527482 0.157635528 -0.003791626 1.388970832 4.201623781 -1.422768429 4.357 1998 1.989474907 2.931527482 0.157635528 -0.003791626 1.336366443 4.134247599 -1.460719357 5.147 1997 1.433408586 2.931527482 0.157635528 -0.003791626 1.284036015 4.067301 -1.498548848 1.847 1996 -0.833011019 2.903268473 0.173797513 0.033370803 1.231995705 4.000791914 -1.536232471 -0.353 1995 1.065528677 2.543766944 0.365740851 0.27159477 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