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Akers, Pete D; Savarino, Joël; Caillon, Nicolas; Servettaz, Aymeric P M; Le Meur, Emmanuel; Magand, Olivier; Agosta, Cécile; Crockford, Peter; Kobayashi, Kanon; Hattori, Shohei; Curran, Mark; van Ommen, Tas D; Jong, Lenneke; Roberts, Jason L; Martins, Jean (2022): Spatial variability in sub-photic zone nitrate δ15N and surface mass balance across East Antarctica [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.941480

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Abstract:
Geographic information, surface mass balance (SMB) data, and sub-photic zone (>0.3 m) nitrate concentration and nitrogen isotopic composition (δ15NNO3) for 135 sites across East Antarctica. This database was used to examine and define the relationship between δ15NNO3 and SMB in Antarctica as part of the SCADI (Snow Core Accumulation from Delta-15N Isotopes) and EAIIST (East Antarctic International Ice Sheet Traverse) projects. Of these 135 sites, 92 are newly reported here while the other site data were previously published and are cited accordingly. Snow bearing nitrate was sampled from snow pits and firn/ice cores at different dates depending on the original scientific campaign, but predominately between 2010 and 2020, with the earliest sampling occurring in 2004. Nitrate was later extracted from the snow, concentrated, and analyzed for δ15NNO3. Surface mass balance data comes from a combination of previous ground-based observations (e.g., stakes, ice core data) and the output from Modèle Atmosphérique Régional version 3.6.4 with European Centre for Medium-Range Weather Forecasts “Interim” re-analysis data (ERA-interim) data, adjusted for observed model SMB biases. Elevation data were extracted from the Reference Elevation Model of Antarctica (REMA, https://doi.org/10.5194/tc-13-665-2019).
Keyword(s):
Antarctica; Ice core; isotope; nitrate; nitrogen isotope ratio (δ15N); surface mass balance
Related to:
Agosta, Cécile; Amory, Charles; Kittel, Christoph; Orsi, Anaïs; Favier, Vincent; Gallée, Hubert; van den Broeke, Michiel R; Lenaerts, Jan T M; van Wessem, Jan Melchior; van de Berg, Willem Jan; Fettweis, Xavier (2019): Estimation of the Antarctic surface mass balance using the regional climate model MAR (1979-2015) and identification of dominant processes. The Cryosphere, 13(1), 281-296, https://doi.org/10.5194/tc-13-281-2019
Akers, Pete D; Savarino, Joël; Caillon, Nicolas; Magand, Olivier; Le Meur, Emmanuel (2022): Nitrate isotopic data from snow collected along the CHICTABA traverse, East Antarctica, 2013-2014. PANGAEA, https://doi.org/10.1594/PANGAEA.948355
Ding, Minghu; Xiao, Cunde; Yang, Yuande; Wang, Yetang; Li, Chuanjin; Yuan, Naiming; Shi, Guitao; Sun, Weijun; Ming, Jing (2016): Re-assessment of recent (2008–2013) surface mass balance over Dome Argus, Antarctica. Polar Research, 35(1), 26133, https://doi.org/10.3402/polar.v35.26133
Ekaykin, Alexey A; Teben'kova, N A; Lipenkov, Vladimir Ya; Tchikhatchev, K B; Veres, Arina N; Richter, A (2020): Underestimation of Snow Accumulation Rate in Central Antarctica (Vostok Station) Derived from Stake Measurements. Russian Meteorology and Hydrology, 45(2), 132-140, https://doi.org/10.3103/S1068373920020090
Erbland, J; Vicars, W C; Savarino, Joël; Morin, Samuel; Frey, Matthias Max; Frosini, Daniele; Vince, E; Martins, Jean MF (2013): Air-snow transfer of nitrate on the East Antarctic Plateau - Part 1: Isotopic evidence for a photolytically driven dynamic equilibrium in summer. Atmospheric Chemistry and Physics, 13(13), 6403-6419, https://doi.org/10.5194/acp-13-6403-2013
Favier, Vincent; Agosta, Cécile; Parouty, S; Durand, Gael; Delaygue, Gilles; Gallée, Hubert; Drouet, A-S; Trouvilliez, A; Krinner, Gerhard (2013): An updated and quality controlled surface mass balance dataset for Antarctica. The Cryosphere, 7(2), 583-597, https://doi.org/10.5194/tc-7-583-2013
Frey, Matthias Max; Savarino, Joël; Morin, Samuel; Erbland, J; Martins, Jean MF (2009): Photolysis imprint in the nitrate stable isotope signal in snow and atmosphere of East Antarctica and implications for reactive nitrogen cycling. Atmospheric Chemistry and Physics, 9(22), 8681-8696, https://doi.org/10.5194/acp-9-8681-2009
Hoshina, Yu; Fujita, Koji; Iizuka, Yoshinori; Motoyama, Hideaki (2016): Inconsistent relationships between major ions and water stable isotopes in Antarctic snow under different accumulation environments. Polar Science, 10(1), 1-10, https://doi.org/10.1016/j.polar.2015.12.003
Howat, Ian M; Porter, Claire; Smith, Ben E; Noh, Myoung-Jong; Morin, Paul (2019): The Reference Elevation Model of Antarctica. The Cryosphere, 13(2), 665-674, https://doi.org/10.5194/tc-13-665-2019
Jiang, Su; Shi, Guitao; Cole-Dai, Jihong; Geng, Lei; Ferris, David G; An, Chunlei; Li, Yuansheng (2019): Nitrate preservation in snow at Dome A, East Antarctica from ice core concentration and isotope records. Atmospheric Environment, 213, 405-412, https://doi.org/10.1016/j.atmosenv.2019.06.031
Kazushi, Noro; Hattori, Shohei; Uemura, Ryu; Fukui, Kotaro; Hirabayashi, Motohiro; Kawamura, Kenji; Motoyama, Hideaki; Takenaka, Norimichi; Yoshida, Naohiro (2018): Spatial variation of isotopic compositions of snowpack nitrate related to post-depositional processes in eastern Dronning Maud Land, East Antarctica. Geochemical Journal, 52(2), e7-e14, https://doi.org/10.2343/geochemj.2.0519
Parrenin, Frédéric; Dreyfus, Gabrielle; Durand, Gael; Fujita, Shuji; Gagliardini, Olivier; Gillet, F; Jouzel, Jean; Kawamura, K; Lhomme, N; Masson-Delmotte, Valerie; Ritz, Catherine; Schwander, Jakob; Shoji, Hitoshi; Uemura, Ryu; Watanabe, Okitsugu; Yoshida, Naohiro (2007): 1-D-ice flow modelling at EPICA Dome C and Dome Fuji, East Antarctica. Climate of the Past, 3(2), 243-259, https://doi.org/10.5194/cp-3-243-2007
Pourchet, M; Bartarya, S K; Maignan, M; Jouzel, Jean; Pinglot, Jean Francis; Aristarain, Alberto J; Furdada, G; Kotlyakov, Vladimir; Mosley-Thompson, Ellen; Preiss, N; Young, N W (1997): Distribution and fall-out of 137Cs and other radionuclides over Antarctica. Journal of Glaciology, 43(145), 435-445, https://doi.org/10.3189/S0022143000035024
Shi, Guitao; Buffen, A M; Hastings, M G; Li, C; Ma, H; Li, Y; Sun, B; An, Chunlei; Jiang, Su (2015): Investigation of post-depositional processing of nitrate in East Antarctic snow: isotopic constraints on photolytic loss, re-oxidation, and source inputs. Atmospheric Chemistry and Physics, 15(16), 9435-9453, https://doi.org/10.5194/acp-15-9435-2015
Sommer, Stefan; Wagenbach, Dietmar; Mulvaney, Robert; Fischer, Hubertus (2000): Glacio-chemical study spanning the past 2 kyr on three ice cores from Dronning Maud Land, Antarctica 2. Seasonally resolved chemical records. Journal of Geophysical Research: Atmospheres, 105(D24), 29423-29434, https://doi.org/10.1029/2000JD900450
Verfaillie, D; Fily, Michel; Le Meur, Emmanuel; Magand, Olivier; Jourdain, Bruno; Arnaud, Laurent; Favier, Vincent (2012): Snow accumulation variability derived from radar and firn core data along a 600 km transect in Adelie Land, East Antarctic plateau. The Cryosphere, 6(6), 1345-1358, https://doi.org/10.5194/tc-6-1345-2012
Winton, Victoria H L; Ming, Alison; Caillon, Nicolas; Hauge, Lisa Lolk; Jones, Anna E; Savarino, Joël; Yang, Xin; Frey, Markus M (2020): Deposition, recycling, and archival of nitrate stable isotopes between the air–snow interface: comparison between Dronning Maud Land and Dome C, Antarctica. Atmospheric Chemistry and Physics, 20(9), 5861-5885, https://doi.org/10.5194/acp-20-5861-2020
Funding:
Agence Nationale de la Recherche (ANR), grant/award no. ANR10 LABX56
Agence Nationale de la Recherche (ANR), grant/award no. ANR-11-EQPX-0009-CLIMCOR
Agence Nationale de la Recherche (ANR), grant/award no. ANR-16- CE01-0011-01
BNP Paribas (France), grant/award no. 1115: BNP-Paribas Climate Initiative program 1115 (CHICTABA)
BNP Paribas (France), grant/award no. 1117: BNP-Paribas Climate Initiative program 1117 (CAPOXI 35-75)
BNP Paribas (France), grant/award no. 1169: BNP-Paribas Climate Initiative program 1169 (EAIIST)
European Commission (EC), grant/award no. 889508: European Horizon Marie Skłodowska-Curie individual fellowship 889508
Japan Society for the Promotion of Science (JSPS), grant/award no. MEXT/JSPS KAKENHI 20H04969
Coverage:
Median Latitude: -73.063481 * Median Longitude: 112.248815 * South-bound Latitude: -80.440000 * West-bound Longitude: 0.070000 * North-bound Latitude: -66.700000 * East-bound Longitude: 139.890000
Date/Time Start: 2013-11-30T00:00:00 * Date/Time End: 2013-12-25T00:00:00
Minimum ELEVATION: 114 m a.s.l. * Maximum ELEVATION: 4092 m a.s.l.
Event(s):
Ant_ABN-1314 (ABN1314-103 ice core)  * Latitude: -71.170000 * Longitude: 111.370000 * Elevation: 2679.0 m * Location: East Antarctica * Campaign: CHICTABA (Chemical and physical analysis in snow/firn for accumulation studies in Adelie L) * Method/Device: Ice corer (IC) * Comment: This 103 m long core was drilled beginning on 07 January 2014 as one of three ice cores at Aurora Basin North, Antarctica in the 2013-2014 field season.
Ant_ABN-DL1  * Latitude: -71.170000 * Longitude: 111.370000 * Elevation: 2679.0 m * Location: East Antarctica * Campaign: CHICTABA (Chemical and physical analysis in snow/firn for accumulation studies in Adelie L) * Method/Device: Snow pits/firn core/ice core
Ant_ABN-DL2  * Latitude: -71.170000 * Longitude: 111.370000 * Elevation: 2679.0 m * Location: East Antarctica * Campaign: CHICTABA (Chemical and physical analysis in snow/firn for accumulation studies in Adelie L) * Method/Device: Snow pits/firn core/ice core
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Event labelEventAkers, Pete D
SiteSiteAkers, Pete D
SiteSiteAkers, Pete DAlternative site name
LATITUDELatitudeAkers, Pete DGPS in fieldGeocode
LONGITUDELongitudeAkers, Pete DGPS in fieldGeocode
ELEVATIONElevationm a.s.l.Akers, Pete DExtracted from REMAGeocode – Reference Elevation Model of Antarctica (REMA)
Surface mass balanceSMBkg/m2/aAkers, Pete DPhysical measurement and observationsReported from ground-based observations
Surface mass balanceSMBkg/m2/aAkers, Pete DMAR outputOutput from the Modèle Atmosphérique Régional (MAR) version 3.6.4 with European Centre for Medium-Range Weather Forecasts “Interim” re-analysis data, 1979-2017
Surface mass balanceSMBkg/m2/aAkers, Pete DBias-adjusted MAR outputAs smb.mar.orig data adjusted for observed biases as described by Akers et al., 2022
10 Surface mass balanceSMBkg/m2/aAkers, Pete DAs a best option combination of smb.ground where available and smb.mar.adj otherwise
11 TypeTypeAkers, Pete DCategory of snow sampling methodology, as core (snow, firn, or ice core), pit (incrementally sampled snow pit), or dl (a ~5 cm thick layer at 1 m depth)
12 CampaignCampaignAkers, Pete DName of original scientific campaign that sampled the snow and nitrate
13 TransectTransectAkers, Pete DName of long-distance transect route on which site was sampled
14 Reference/sourceReferenceAkers, Pete DCitation of isotopic data
15 Reference/sourceReferenceAkers, Pete DCitation of surface mass balance data
16 CategoryCatAkers, Pete DCategory of surface mass balance methodology, as stakes (repeatedly visited snow stakes), core (dated horizons in firn or ice core), or MAR (Modèle Atmosphérique Régional output)
17 Nitrate[NO3]-µg/kgAkers, Pete DColorimetry and/or ion chromatographyOriginal concentration in ppb
18 δ15Nδ15N‰ airAkers, Pete DMass spectrometer, Finnigan, MAT 253Isotopic ratio of nitrogen in archived nitrate, reported versus N2-Air standard
19 CommentCommentAkers, Pete DAdditional notes for the sample site and description of sample composition from original snow sampling
Size:
1904 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


Event

Site

Site
(Alternative site name)

Latitude
(GPS in field)

Longitude
(GPS in field)

Elevation [m a.s.l.]
(Reference Elevation Model of ...)

SMB [kg/m2/a]
(Reported from ground-based ob...)

SMB [kg/m2/a]
(Output from the Modèle Atmosp...)

SMB [kg/m2/a]
(As smb.mar.orig data adjusted...)
10 
SMB [kg/m2/a]
(As a best option combination ...)
11 
Type
(Category of snow sampling met...)
12 
Campaign
(Name of original scientific c...)
13 
Transect
(Name of long-distance transec...)
14 
Reference
(Citation of isotopic data)
15 
Reference
(Citation of surface mass bala...)
16 
Cat
(Category of surface mass bala...)
17 
[NO3]- [µg/kg]
(Original concentration in ppb...)
18 
δ15N [‰ air]
(Isotopic ratio of nitrogen in...)
19 
Comment
(Additional notes for the samp...)
Ant_asuma.2016.1 asuma.2016.1glacioclim.c31-67.54138.011651548.0366.5337.4548.0coreASUMAOtherThis databaseGlacioclim-c31stakes59.10.0065weighted mean > 90 cm (excludes top core with surface)
Ant_asuma.2016.2 asuma.2016.2asuma.03-68.15136.122101488.0312.5288.3488.0coreASUMAOtherThis databaseGlacioclim-asuma03stakes43.50.0092weighted mean > 90 cm (excludes top core with surface)
Ant_ABN-DL1 ABN-DL1ABN-71.17111.372679130.0122.0113.9130.0dlCHICTABACHICTABAThis databaseThis databasecore49.00.0728single sample 1 m depth
Ant_ABN-DL2 ABN-DL2ABN-71.17111.372679130.0122.0113.9130.0dlCHICTABACHICTABAThis databaseThis databasecore96.40.0393single sample 1 m depth
Ant_ABN-P4 ABN-P4ABN-71.17111.372679130.0122.0113.9130.0pitCHICTABACHICTABAThis databaseThis databasecore82.20.0319weighted mean of 30+ cm
Ant_ABN-P5 ABN-P5ABN-71.17111.372679130.0122.0113.9130.0pitCHICTABACHICTABAThis databaseThis databasecore73.10.0458weighted mean of 30+ cm
Ant_CHIC-01 CHIC-01-70.43134.142619180.5168.3168.3pitCHICTABACHICTABAThis databaseAgosta et al. (2019)MAR104.50.0273weighted mean of 30+ cm
Ant_CHIC-04 CHIC-04-70.60131.652741159.9149.6149.6dlCHICTABACHICTABAThis databaseAgosta et al. (2019)MAR97.30.0296single sample 1 m depth
Ant_CHIC-05 CHIC-05-70.68130.172732154.1144.3144.3pitCHICTABACHICTABAThis databaseAgosta et al. (2019)MAR68.00.0432weighted mean of 30+ cm
Ant_CHIC-07 CHIC-07-70.80128.282780161.7151.2151.2dlCHICTABACHICTABAThis databaseAgosta et al. (2019)MAR84.60.0508single sample 1 m depth
Ant_CHIC-10 CHIC-10-70.98125.862844142.2133.5133.5dlCHICTABACHICTABAThis databaseAgosta et al. (2019)MAR54.90.0621single sample 1 m depth
Ant_CHIC-11 CHIC-11-71.00125.392828139.9131.4131.4pitCHICTABACHICTABAThis databaseAgosta et al. (2019)MAR65.30.0311weighted mean of 30+ cm
Ant_CHIC-13 CHIC-13-71.14122.972756137.3128.9128.9dlCHICTABACHICTABAThis databaseAgosta et al. (2019)MAR90.40.0416single sample 1 m depth
Ant_CHIC-15 CHIC-15-71.15119.532667145.1136.1136.1dlCHICTABACHICTABAThis databaseAgosta et al. (2019)MAR72.60.0348single sample 1 m depth
Ant_CHIC-18 CHIC-18-71.17116.152619138.5130.1130.1dlCHICTABACHICTABAThis databaseAgosta et al. (2019)MAR80.00.0253single sample 1 m depth
Ant_CHIC-20 CHIC-20-71.21113.932638133.3125.0125.0dlCHICTABACHICTABAThis databaseAgosta et al. (2019)MAR78.30.0585single sample 1 m depth
Ant_DC04 DC04domeC-75.10123.35323326.041.034.526.0pitDC PitsOtherFrey et al. (2009)Parrenin et al. (2007)core16.10.2200weighted mean of 50+ cm
Ant_dc2010pits dc2010pitsdomeC-75.10123.35323326.041.034.526.0coreDC PitsOtherThis databaseParrenin et al. (2007)core29.90.2483weighted mean of four pits; 30-50 cm
Ant_IV IV-69.91136.702457164.0153.3153.3dlDC-CPH-0708DDU-VostokErbland et al. (2013)Agosta et al. (2019)MAR53.00.0063single depth sample
Ant_VI VI-68.53135.242306286.1264.3264.3dlDC-CPH-0708DDU-VostokErbland et al. (2013)Agosta et al. (2019)MAR131.00.0016single depth sample
Ant_VIII VIII-69.31134.332516251.0232.4232.4dlDC-CPH-0708DDU-VostokErbland et al. (2013)Agosta et al. (2019)MAR86.00.0348single depth sample
Ant_X X-70.25134.102610192.6179.3179.3dlDC-CPH-0708DDU-VostokErbland et al. (2013)Agosta et al. (2019)MAR76.00.0403single depth sample
Ant_XII XII-71.61132.992874112.7104.8104.8dlDC-CPH-0708DDU-VostokErbland et al. (2013)Agosta et al. (2019)MAR78.00.0378single depth sample
Ant_XIV XIV-71.53132.842865115.6107.6107.6dlDC-CPH-0708DDU-VostokErbland et al. (2013)Agosta et al. (2019)MAR87.00.0565single depth sample
Ant_XVI XVI-72.32130.47306687.580.180.1dlDC-CPH-0708DDU-VostokErbland et al. (2013)Agosta et al. (2019)MAR70.00.1121single depth sample
Ant_XVIII XVIII-73.99128.71312154.848.048.0dlDC-CPH-0708DDU-VostokErbland et al. (2013)Agosta et al. (2019)MAR77.00.1389single depth sample
Ant_DC07-1 DC07-1domeC-75.10123.35323326.041.034.526.0pitDC-D10-0708DDU-VostokErbland et al. (2013)Parrenin et al. (2007)core37.40.2629weighted mean of 30+ cm
Ant_DC07-2 DC07-2domeC-75.10123.35323326.041.034.526.0pitDC-D10-0708DDU-VostokErbland et al. (2013)Parrenin et al. (2007)core21.90.3021weighted mean of 30+ cm
Ant_DC07-3 DC07-3domeC-75.10123.35323326.041.034.526.0pitDC-D10-0708DDU-VostokErbland et al. (2013)Parrenin et al. (2007)core68.40.2225weighted mean of 30+ cm
Ant_S1 S1-75.72120.23320635.729.329.3pitDC-Vostok-0910DDU-VostokErbland et al. (2013)Agosta et al. (2019)MAR10.60.2645weighted mean of 30+ cm
Ant_S2 S2-76.84112.99332631.825.425.4pitDC-Vostok-0910DDU-VostokErbland et al. (2013)Agosta et al. (2019)MAR13.70.2962weighted mean of 30+ cm
Ant_S3 S3-77.68110.55339830.824.424.4pitDC-Vostok-0910DDU-VostokErbland et al. (2013)Agosta et al. (2019)MAR13.80.3366weighted mean of 30+ cm
Ant_S4 S4vostok-78.47106.80347622.630.424.122.6pitDC-Vostok-0910DDU-VostokErbland et al. (2013)Ekaykin et al. (2020)stakes45.00.2594weighted mean of 30+ cm
Ant_V09-1 V09-1vostok-78.47106.80347622.630.424.122.6pitDC-Vostok-0910DDU-VostokErbland et al. (2013)Ekaykin et al. (2020)stakes24.40.3349weighted mean of 30+ cm
Ant_V09-2 V09-2vostok-78.47106.80347622.630.424.122.6pitDC-Vostok-0910DDU-VostokErbland et al. (2013)Ekaykin et al. (2020)stakes29.20.2958weighted mean of 30+ cm
Ant_ABN-1314 abn1314ABN-71.17111.372679130.0122.0113.9130.0coreEACoresOtherThis databaseThis databasecore54.00.0426weighted mean top 30 m (1996-1885 CE)
Ant_cph1516 cph1516-66.75139.59556120.0247.2228.9120.0coreEACoresOtherThis databaseThis databasecore26.10.0042weighted mean whole core
Ant_dc14 dc14domeC-75.10123.35323326.041.034.526.0coreEACoresOtherThis databaseParrenin et al. (2007)core19.00.1696weighted mean 3.76-15.08 m (cores 3.2-14.2; excluding 5.1; 1970-1800 CE)
Ant_S80core S80core-80.0040.50362337.531.324.937.5coreEACoresOtherThis databaseHoshina et al. (2016)stakes14.90.1615weighted mean 9-12.8 m (1870-1800 CE; avoiding abnormal upper oxygen values)
Ant_AGO5 AGO5eaiist.out-11-77.24123.48308732.325.925.9pitEAIISTEAIISTThis databaseAgosta et al. (2019)MAR11.20.2974weighted mean of 30+ cm
Ant_eaiist.stop01 eaiist.stop01eaiist.out-02-75.46123.29321838.331.831.8dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR9.10.2982single sample 1 m depth
Ant_eaiist.stop02 eaiist.stop02eaiist.out-03-75.71123.26319836.830.330.3dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR32.00.2163single sample 1 m depth
Ant_eaiist.stop03 eaiist.stop03eaiist.out-04-75.87123.27318236.129.629.6dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR9.60.2959single sample 1 m depth
Ant_eaiist.stop04 eaiist.stop04eaiist.out-06-76.27123.34314334.327.927.9dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR8.90.3085single sample 1 m depth
Ant_eaiist.stop05 eaiist.stop05eaiist.out-08-76.64123.39312233.226.826.8dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR8.20.2753single sample 1 m depth
Ant_eaiist.stop06 eaiist.stop06eaiist.out-10-77.06123.45309532.526.126.1dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR6.10.2629single sample 1 m depth
Ant_eaiist.stop07 eaiist.stop07eaiist.out-11-77.24123.48308732.325.925.9dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR5.80.3592single sample 1 m depth
Ant_eaiist.stop08a eaiist.stop08aeaiist.out-12-77.41123.65307832.325.925.9dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR6.20.2715single sample 1 m depth
Ant_eaiist.stop08b eaiist.stop08beaiist.out-14-77.78124.02305832.626.226.2dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR21.30.2144single sample 1 m depth
Ant_eaiist.stop09 eaiist.stop09eaiist.out-15-77.97124.23304332.826.426.4dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR18.90.2723single sample 1 m depth
Ant_eaiist.stop10 eaiist.stop10eaiist.out-17-78.35124.64301033.927.527.5dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR8.20.2700single sample 1 m depth
Ant_eaiist.stop11 eaiist.stop11eaiist.out-20-78.86125.21295036.129.629.6dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR7.20.2119single sample 1 m depth
Ant_eaiist.stop12 eaiist.stop12eaiist.out-22-79.28125.69289837.030.530.5dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR9.50.3061single sample 1 m depth
Ant_eaiist.stop13a eaiist.stop13aeaiist.out-24-79.65126.14286437.631.131.1dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR8.10.3030single sample 1 m depth
Ant_eaiist.stop13b eaiist.stop13beaiist.out-27-80.05124.81287037.430.930.9dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR24.90.2527single sample 1 m depth
Ant_eaiist.stop14 eaiist.stop14eaiist.out-29-80.44123.46290736.930.430.4dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR5.40.2768single sample 1 m depth
Ant_eaiist.stop19 eaiist.stop19eaiist.return-10-78.62124.93298235.228.828.8dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR28.90.2088single sample 1 m depth
Ant_eaiist.stop20 eaiist.stop20eaiist.return-12-78.23124.51301933.527.127.1dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR8.60.3236single sample 1 m depth
Ant_eaiist.stop21 eaiist.stop21eaiist.return-14-77.71123.96306232.526.126.1dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR10.10.2491single sample 1 m depth
Ant_eaiist.stop22 eaiist.stop22eaiist.return-17-76.97123.44309932.626.226.2dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR8.10.2819single sample 1 m depth
Ant_eaiist.stop23 eaiist.stop23eaiist.return-20-76.46123.36312733.727.327.3dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR8.00.3354single sample 1 m depth
Ant_eaiist.stop24 eaiist.stop24eaiist.return-22-76.03123.30316835.328.928.9dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR8.70.3405single sample 1 m depth
Ant_eaiist.stop25 eaiist.stop25eaiist.return-23-75.85123.28318436.229.729.7dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR11.00.2171single sample 1 m depth
Ant_eaiist.stop26 eaiist.stop26eaiist.return-24-75.71123.26319836.830.330.3dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR9.60.3244single sample 1 m depth
Ant_Paleo Paleoeaiist.out-24-79.65126.14286437.631.131.1pitEAIISTEAIISTThis databaseAgosta et al. (2019)MAR12.40.3091weighted mean of 30+ cm
Ant_posteaiist.asuma01 posteaiist.asuma01posteaiist-23-67.80137.051889321.0337.4310.9321.0dlEAIISTEAIISTThis databaseGlacioclim-asuma01stakes104.90.0020single sample 1 m depth
Ant_posteaiist.asuma02 posteaiist.asuma02posteaiist-22-67.94135.601981239.0343.0316.0239.0dlEAIISTEAIISTThis databaseGlacioclim-asuma02stakes44.00.0139single sample 1 m depth
Ant_posteaiist.asuma03 posteaiist.asuma03posteaiist-21-68.15136.122101488.0316.8292.2488.0dlEAIISTEAIISTThis databaseGlacioclim-asuma03stakes29.00.0033single sample 1 m depth
Ant_posteaiist.asuma04 posteaiist.asuma04posteaiist-20-68.28135.722195215.0304.2280.8215.0dlEAIISTEAIISTThis databaseGlacioclim-asuma04stakes34.00.0173single sample 1 m depth
Ant_posteaiist.asuma05 posteaiist.asuma05posteaiist-19-68.48135.31228576.0288.9266.976.0dlEAIISTEAIISTThis databaseGlacioclim-asuma05stakes24.90.0190single sample 1 m depth
Ant_posteaiist.asuma06 posteaiist.asuma06posteaiist-18-68.68135.002363131.0280.4259.1131.0dlEAIISTEAIISTThis databaseGlacioclim-asuma06stakes59.4-0.0008single sample 1 m depth
Ant_posteaiist.asuma07 posteaiist.asuma07posteaiist-17-68.91134.652437273.0271.1250.7273.0dlEAIISTEAIISTThis databaseGlacioclim-asuma07stakes44.90.0011single sample 1 m depth
Ant_posteaiist.asuma08 posteaiist.asuma08posteaiist-16-69.07134.412492171.0268.4248.2171.0dlEAIISTEAIISTThis databaseGlacioclim-asuma08stakes30.30.0065single sample 1 m depth
Ant_posteaiist.asuma09 posteaiist.asuma09posteaiist-15-69.24134.352523219.0256.6237.5219.0dlEAIISTEAIISTThis databaseGlacioclim-asuma09stakes47.90.0057single sample 1 m depth
Ant_posteaiist.asuma10 posteaiist.asuma10posteaiist-14-69.43134.792430240.0232.0215.1240.0dlEAIISTEAIISTThis databaseGlacioclim-asuma10stakes59.00.0305single sample 1 m depth
Ant_posteaiist.asuma11 posteaiist.asuma11posteaiist-13-69.63135.282422243.0203.6189.3243.0dlEAIISTEAIISTThis databaseGlacioclim-asuma11stakes39.60.0339single sample 1 m depth
Ant_posteaiist.samba posteaiist.sambaposteaiist-24-67.60137.771753360.6332.0332.0dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR34.7-0.0016single sample 1 m depth
Ant_posteaiist.stop27 posteaiist.stop27posteaiist-01-74.75124.43321834.045.038.434.0dlEAIISTEAIISTThis databasePourchetet al. (1997) DCcore46.40.1703single sample 1 m depth
Ant_posteaiist.stop28 posteaiist.stop28posteaiist-02-74.35125.57318550.143.443.4dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR37.50.1742single sample 1 m depth
Ant_posteaiist.stop29 posteaiist.stop29posteaiist-03-73.90126.75315556.049.249.2dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR36.70.1668single sample 1 m depth
Ant_posteaiist.stop30 posteaiist.stop30posteaiist-04-73.47127.86313862.155.255.2dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR40.70.1643single sample 1 m depth
Ant_posteaiist.stop31 posteaiist.stop31posteaiist-05-73.03128.88314180.070.463.380.0dlEAIISTEAIISTThis databasePourchetet al. (1997) D120core34.00.1244single sample 1 m depth
Ant_posteaiist.stop32 posteaiist.stop32posteaiist-06-72.70129.62312077.770.570.5dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR50.90.1141single sample 1 m depth
Ant_posteaiist.stop33 posteaiist.stop33posteaiist-07-72.25130.64305189.582.082.0dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR38.30.1297single sample 1 m depth
Ant_posteaiist.stop34 posteaiist.stop34posteaiist-08-71.80131.56298486.0103.695.986.0dlEAIISTEAIISTThis databaseVerfaillie et al. (2009) F3stakes44.10.1054single sample 1 m depth
Ant_posteaiist.stop35 posteaiist.stop35posteaiist-09-71.41132.332877130.0120.3112.3130.0dlEAIISTEAIISTThis databasePourchetet al. (1997) D100core48.00.0933single sample 1 m depth
Ant_posteaiist.stop36 posteaiist.stop36posteaiist-10-70.93133.242753118.0147.5138.3118.0dlEAIISTEAIISTThis databaseVerfaillie et al. (2009) F2stakes64.9-0.0183single sample 1 m depth
Ant_posteaiist.stop37 posteaiist.stop37posteaiist-11-70.43134.142619180.5168.3168.3dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR86.80.0200single sample 1 m depth
Ant_posteaiist.stop38 posteaiist.stop38posteaiist-12-70.10134.622521198.0197.5183.7198.0dlEAIISTEAIISTThis databaseVerfaillie et al. (2009) F1stakes58.90.0193single sample 1 m depth
Ant_preeaiist.01 preeaiist.01preeaiist-02-66.70139.8321097.6133.1124.897.6dlEAIISTEAIISTThis databaseGlacioclim-15MAR62.00.0236single sample 1 m depth
Ant_preeaiist.02 preeaiist.02preeaiist-03-67.25138.871375487.8439.0403.3487.8dlEAIISTEAIISTThis databaseGlacioclim-808MAR116.0-0.0074single sample 1 m depth
Ant_preeaiist.03 preeaiist.03preeaiist-04-67.57137.921714337.7366.0337.0337.7dlEAIISTEAIISTThis databaseGlacioclim-c36.c39MAR36.0-0.0108single sample 1 m depth
Ant_preeaiist.04 preeaiist.04preeaiist-06-67.89136.771925280.0330.1304.3280.0dlEAIISTEAIISTThis databaseGlacioclim-asuma01.asuma02MAR44.00.0039single sample 1 m depth
Ant_preeaiist.05 preeaiist.05preeaiist-09-68.21135.992156310.3286.3286.3dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR40.00.0096single sample 1 m depth
Ant_preeaiist.06 preeaiist.06preeaiist-12-68.59135.142325160.0286.2264.4160.0dlEAIISTEAIISTThis databaseGlacioclim-asuma.05asuma06.asuma07MAR44.0-0.0128single sample 1 m depth
Ant_preeaiist.07 preeaiist.07preeaiist-15-69.03134.462481171.0269.5249.2171.0dlEAIISTEAIISTThis databaseGlacioclim-asuma08MAR67.0-0.0017single sample 1 m depth
Ant_preeaiist.08 preeaiist.08preeaiist-18-69.57134.272524234.8217.7217.7dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR50.00.0059single sample 1 m depth
Ant_preeaiist.09 preeaiist.09preeaiist-20-70.13134.132596198.0201.0186.9198.0dlEAIISTEAIISTThis databaseVerfaillie et al. (2009) F1stakes89.00.0100single sample 1 m depth
Ant_preeaiist.10 preeaiist.10preeaiist-22-70.43134.142619180.5168.3168.3dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR34.00.0450single sample 1 m depth
Ant_preeaiist.11 preeaiist.11preeaiist-23-71.07132.982786139.1130.7130.7dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR48.10.0617single sample 1 m depth
Ant_preeaiist.12 preeaiist.12preeaiist-26-71.57132.022917130.0113.3105.4130.0dlEAIISTEAIISTThis databasePourchetet al. (1997) D100core71.70.0487single sample 1 m depth
Ant_preeaiist.13 preeaiist.13preeaiist-28-72.04131.08300386.095.187.586.0dlEAIISTEAIISTThis databaseVerfaillie et al. (2009) F3stakes98.90.0585single sample 1 m depth
Ant_preeaiist.14 preeaiist.14preeaiist-30-72.54129.97310482.174.874.8dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR42.20.0882single sample 1 m depth
Ant_preeaiist.15 preeaiist.15preeaiist-32-73.04128.84313980.070.062.980.0dlEAIISTEAIISTThis databasePourchetet al. (1997) D120core44.70.1579single sample 1 m depth
Ant_preeaiist.16 preeaiist.16preeaiist-34-73.56127.63314260.853.953.9dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR41.80.1581single sample 1 m depth
Ant_preeaiist.17 preeaiist.17preeaiist-36-74.06126.34316553.947.147.1dlEAIISTEAIISTThis databaseAgosta et al. (2019)MAR32.30.1702single sample 1 m depth
Ant_preeaiist.18 preeaiist.18preeaiist-38-74.53125.05320034.047.841.134.0dlEAIISTEAIISTThis databasePourchetet al. (1997) DCcore24.70.1752single sample 1 m depth
Ant_dml.pit.a dml.pit.akohnen-75.000.07289275.097.690.075.0pitEPICA-DMLOtherWinton et al. (2020)Sommer et al. (2000)core0.0489weighted mean of 15+ cm
Ant_dml.pit.b dml.pit.bkohnen-75.000.07289275.097.690.075.0pitEPICA-DMLOtherWinton et al. (2020)Sommer et al. (2000)core0.0714weighted mean of 15+ cm
Ant_DF1 DF1domeF-77.3039.70380029.235.629.229.2pitJARE54JARENoro et al. (2018)Hoshina et al. (2016)stakes0.2365single full depth sample; corrected for photic zone
Ant_DF2 DF2domeF-77.3039.70380029.235.629.229.2pitJARE54JARENoro et al. (2018)Hoshina et al. (2016)stakes0.2201single full depth sample; corrected for photic zone
Ant_Fuji_Pass Fuji Pass-77.4041.50376940.735.028.640.7pitJARE54JARENoro et al. (2018)Hoshina et al. (2016)stakes0.1370single full depth sample; corrected for photic zone
Ant_IM0 IM0-70.7044.30225668.599.291.668.5pitJARE54JARENoro et al. (2018)Hoshina et al. (2016)stakes0.0403single full depth sample; corrected for photic zone
Ant_MD590 MD590-76.0041.00368837.942.636.037.9pitJARE54JARENoro et al. (2018)Hoshina et al. (2016)stakes0.1347single full depth sample; corrected for photic zone
Ant_NDF NDF-77.8039.10376330.933.226.830.9pitJARE54JARENoro et al. (2018)Hoshina et al. (2016)stakes0.2072single full depth sample; corrected for photic zone
Ant_NMD304 NMD304-73.1042.90308765.875.668.465.8pitJARE54JARENoro et al. (2018)Hoshina et al. (2016)stakes0.0654single full depth sample; corrected for photic zone
Ant_Plateau_S Plateau S-79.4040.50366032.431.224.832.4pitJARE54JARENoro et al. (2018)Hoshina et al. (2016)stakes0.3081single full depth sample; corrected for photic zone
Ant_S80pit S80pit-80.0040.50362337.531.324.937.5pitJARE54JARENoro et al. (2018)Hoshina et al. (2016)stakes0.1678single full depth sample; corrected for photic zone
Ant_Z2 Z2-70.0042.401750113.5116.9108.9113.5pitJARE54JARENoro et al. (2018)Hoshina et al. (2016)stakes0.0308single full depth sample; corrected for photic zone
Ant_H108 H108-69.3041.401345185.0250.7232.1185.0pitJARE57JARENoro et al. (2018)Hoshina et al. (2016)stakes-0.0064single full depth sample; corrected for photic zone
Ant_H128 H128-69.4041.601408158.8210.2195.3158.8pitJARE57JARENoro et al. (2018)Hoshina et al. (2016)stakes0.0213single full depth sample; corrected for photic zone
Ant_H42 H42-69.1040.901116234.9272.5251.9234.9pitJARE57JARENoro et al. (2018)Hoshina et al. (2016)stakes-0.0066single full depth sample; corrected for photic zone
Ant_H68 H68-69.2041.101217225.4255.7236.7225.4pitJARE57JARENoro et al. (2018)Hoshina et al. (2016)stakes-0.0145single full depth sample; corrected for photic zone
Ant_H88 H88-69.3041.201269207.3245.5227.4207.3pitJARE57JARENoro et al. (2018)Hoshina et al. (2016)stakes-0.0194single full depth sample; corrected for photic zone
Ant_S30-JARE S30-JARE-69.0040.70977271.9288.6266.6271.9pitJARE57JARENoro et al. (2018)Hoshina et al. (2016)stakes-0.0190single full depth sample; corrected for photic zone
Ant_cph.d17 cph.d17glacioclim.95-66.72139.72364446.0178.1166.1446.0pitNicoflexOtherThis databaseGlacioclim-95stakes45.60.0128weighted mean of 3+ cm, 4 pits; smb is 2015 obs from GLACIOCLIM
Ant_cph.d24 cph.d24glacioclim.162-66.75139.59556120.0247.2228.9120.0pitNicoflexOtherThis databaseGlacioclim-162core60.1-0.0023weighted mean of 3+ cm, 4 pits; smb is 2015 obs from GLACIOCLIM
Ant_cph.d5 cph.d5glacioclim.15-66.70139.8911497.6139.7131.297.6pitNicoflexOtherThis databaseGlacioclim-15stakes49.40.0182weighted mean of 3+ cm, 4 pits; smb is 2004-2015 mean
Ant_DA2005 DA2005domeA-80.3777.37409222.941.234.722.9coreZhongshan-DAZhongshan-DAJiang et al. (2019)Ding et al. (2016)core9.70.2643weighted mean top 4 samples
Ant_ZtoA-P1 ZtoA-P1-71.1377.312054172.0153.4143.7172.0pitZhongshan-DAZhongshan-DAShi et al. (2015)Shi et al. (2015)stakes53.80.0209weighted mean of 30+ cm
Ant_ZtoA-P2 ZtoA-P2-71.8177.89229799.495.688.099.4pitZhongshan-DAZhongshan-DAShi et al. (2015)Shi et al. (2015)stakes83.50.0269weighted mean of 30+ cm
Ant_ZtoA-P3 ZtoA-P3-73.4077.00255890.776.369.190.7pitZhongshan-DAZhongshan-DAShi et al. (2015)Shi et al. (2015)stakes89.20.0213weighted mean of 30+ cm
Ant_ZtoA-P4 ZtoA-P4-76.2977.03285054.855.448.654.8pitZhongshan-DAZhongshan-DAShi et al. (2015)Shi et al. (2015)stakes60.20.1296weighted mean of 30+ cm
Ant_ZtoA-P5 ZtoA-P5-77.9177.13316433.361.554.633.3pitZhongshan-DAZhongshan-DAShi et al. (2015)Shi et al. (2015)stakes36.00.2107weighted mean of 30+ cm
Ant_ZtoA-P7 ZtoA-P7domeA-80.4277.12409122.940.934.422.9pitZhongshan-DAZhongshan-DAShi et al. (2015)Ding et al. (2016)stakes15.30.3536weighted mean of 30+ cm