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Kienast, Markus; MacIntyre, G; Dubois, Nathalie; Higginson, S; Normandeau, Claire; Chazen, S; Herbert, Timothy D (2012): (Table 1) Sea surface temperature reconstruction for eastern equatorial Pacific surface sediment samples [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.827244, Supplement to: Kienast, M et al. (2012): Alkenone unsaturation in surface sediments from the eastern equatorial Pacific: Implications for SST reconstructions. Paleoceanography, 27(1), PA1210, https://doi.org/10.1029/2011PA002254

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Abstract:
Significant uncertainties persist in the reconstruction of past sea surface temperatures in the eastern equatorial Pacific, especially regarding the amplitude of the glacial cooling and the details of the post-glacial warming. Here we present the first regional calibration of alkenone unsaturation in surface sediments versus mean annual sea surface temperatures (maSST). Based on 81 new and 48 previously published data points, it is shown that open ocean samples conform to established global regressions of Uk'37 versus maSST and that there is no systematic bias from seasonality in the production or export of alkenones, or from surface ocean nutrient concentrations or salinity. The flattening of the regression at the highest maSSTs is found to be statistically insignificant. For the near-coastal Peru upwelling zone between 11-15°S and 76-79°W, however, we corroborate earlier observations that Uk'37 SST estimates significantly over-estimate maSSTs at many sites. We posit that this is caused either by uncertainties in the determination of maSSTs in this highly dynamic environment, or by biasing of the alkenone paleothermometer toward El Niño events as postulated by Rein et al. (2005).
Further details:
Calvo, Eva; Pelejero, Carles; Herguera, Juan-Carlos; Palanques, Albert; Grimalt, Joan O (2001): Insolation dependence of the southeastern subtropical Pacific sea surface temperature over the last 400 kyrs. Geophysical Research Letters, 28(12), 2481-2484, https://doi.org/10.1029/2000GL012024
Conte, Maureen H; Sicre, Marie-Alexandrine; Rühlemann, Carsten; Weber, John C; Schulte, Sonja; Schulz-Bull, Detlef; Blanz, Thomas (2006): Global temperature calibration of the alkenone unsaturation index (UK'37) in surface waters and comparison with surface sediments. Geochemistry, Geophysics, Geosystems, 7, Q02005, https://doi.org/10.1029/2005GC001054
Dubois, Nathalie; Kienast, Markus; Normandeau, Claire; Herbert, Timothy D (2009): Eastern equatorial Pacific cold tongue during the Last Glacial Maximum as seen from alkenone paleothermometry. Paleoceanography, 24(4), PA4207, https://doi.org/10.1029/2009PA001781
Gutièrrez, Dimitri; Bouloubassi, Ioanna; Sifeddine, Abdelfettah; Purca, Sara; Goubanova, Katerina; Graco, Michelle; Field, David; Méjanelle, Laurence; Velazco, Federico; Lorre, Anne; Salvatteci, Renato; Quispe, Daniel; Vargas, Gabriel; Dewitte, Boris; Ortlieb, Luc (2011): Coastal cooling and increased productivity in the main upwelling zone off Peru since the mid-twentieth century. Geophysical Research Letters, 38, L07603, https://doi.org/10.1029/2010GL046324
Horikawa, Keiji; Minagawa, Masao; Murayama, Masafumi; Kato, Yoshihisa; Asahi, Hirofumi (2006): Spatial and temporal sea-surface temperatures in the eastern equatorial Pacific over the past 150 kyr. Geophysical Research Letters, 33(13), L13605, https://doi.org/10.1029/2006GL025948
Koutavas, Athanasios; Sachs, Julian P (2008): Northern timing of deglaciation in the eastern equatorial Pacific from alkenone paleothermometry. Paleoceanography, 23(4), PA4205, https://doi.org/10.1029/2008PA001593
Leduc, Guillaume; Vidal, Laurence; Tachikawa, Kazuyo; Rostek, Frauke; Sonzogni, Corinne; Beaufort, Luc; Bard, Edouard (2007): Moisture transport across Central America as a positive feedback on abrupt climatic changes. Nature, 445, 908-911, https://doi.org/10.1038/nature05578
Liu, Zhonghui; Herbert, Timothy D (2004): High-latitude influence on the eastern equatorial Pacific climate in the early Pleistocene epoch. Nature, 427(6976), 720-723, https://doi.org/10.1038/nature02338
Prahl, Frederick G; Mix, Alan C; Sparrow, Margaret A (2006): Alkenone paleothermometry: Biological lessons from marine sediment records off western South America. Geochimica et Cosmochimica Acta, 70(1), 101-117, https://doi.org/10.1016/j.gca.2005.08.023
Rein, Bert; Lückge, Andreas; Reinhardt, Lutz; Sirocko, Frank; Wolf, Anja; Dullo, Wolf-Christian (2005): El Niño variability off Peru during the last 20,000 years. Paleoceanography, 20(4), PA4003, https://doi.org/10.1029/2004PA001099
Coverage:
Median Latitude: -4.377511 * Median Longitude: -87.907354 * South-bound Latitude: -18.085000 * West-bound Longitude: -135.080000 * North-bound Latitude: 15.710000 * East-bound Longitude: -72.700000
Date/Time Start: 1963-04-05T00:00:00 * Date/Time End: 2009-04-01T00:00:00
Minimum DEPTH, sediment/rock: m * Maximum DEPTH, sediment/rock: m
Event(s):
54-2-PG9  * Latitude: -8.100000 * Longitude: -104.300000 * Location: Eastern Equatorial Pacific * Method/Device: Piston corer (PC)
138-846  * Latitude: -3.095000 * Longitude: -90.818330 * Date/Time Start: 1991-05-21T00:00:00 * Date/Time End: 1991-05-26T00:00:00 * Elevation: -3296.0 m * Penetration: 871.5 m * Recovery: 821.61 m * Location: South Pacific Ocean * Campaign: Leg138 * Basis: Joides Resolution * Method/Device: Composite Core (COMPCORE) * Comment: 92 cores; 865.5 m cored; 0 m drilled; 94.9 % recovery
201-1228  * Latitude: -11.064267 * Longitude: -78.077800 * Date/Time: 2002-03-03T00:00:00 * Elevation: -261.8 m * Penetration: 298.6 m * Recovery: 221.5 m * Location: South Pacific Ocean * Campaign: Leg201 * Basis: Joides Resolution * Method/Device: Composite Core (COMPCORE) * Comment: 36 cores; 294.6 m cored; 4 m drilled; 75.2 % recovery
Parameter(s):
Size:
631 data points

Data

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


Event

Longitude

Longitude

Depth sed [m]

UK'37

SST (1-12) [°C]
(WOA09, interpolated)

SST (1-12) [°C]
(Calculated from UK'37 (Prahl ...)

delta T [°C]

Reference
RR9702A-62MC3 -79.0-79.000.69819.9619.38-0.58Prahl et al. (2006)
RR9702A-64MC1 -78.1-78.100.70120.0119.47-0.54Prahl et al. (2006)
RR9702A-70MC3 -76.0-76.000.66119.6818.29-1.38Prahl et al. (2006)
RR9702A-72MC3 -76.2-76.200.69619.6819.32-0.36Prahl et al. (2006)
RR9702A-74MC2 -76.2-76.200.67519.6818.71-0.97Prahl et al. (2006)
RR9702A-77MC2 -77.0-77.000.67719.8218.76-1.06Prahl et al. (2006)
RR9702A-66MC1 -77.1-77.100.67719.8218.76-1.06Prahl et al. (2006)
RR9702A-68MC3 -76.4-76.400.68519.6819.00-0.68Prahl et al. (2006)
RR9702A-82MC -76.7-76.700.73619.1320.501.37Prahl et al. (2006)
RR9702A-80MC7 -76.9-76.900.69919.1319.410.28Prahl et al. (2006)
RR9702A-83MC -77.3-77.300.74819.1320.851.72Prahl et al. (2006)
VNTR01-10GC -102.0-102.000.86724.2924.350.06Prahl et al. (2006)
VNTR01-9PC -110.5-110.500.87624.5224.620.10Prahl et al. (2006)
VNTR01-12GC -95.1-95.100.80223.5222.44-1.08Prahl et al. (2006)
VNTR01-8PC -110.5-110.500.86824.3024.380.08Prahl et al. (2006)
VNTR01-19PC -90.4-90.400.91127.3225.65-1.67Prahl et al. (2006)
VNTR01-21GC -94.6-94.600.90827.7625.56-2.20Prahl et al. (2006)
MWSC2 -78.1-78.100.77720.3521.711.35Conte et al. (2006)
Peru3MC1 -77.6-77.600.74619.0020.791.80Conte et al. (2006)
Peru2MC4 -77.6-77.600.64719.0017.88-1.11Conte et al. (2006)
Peru4MC2 -77.5-77.500.76219.0021.262.27Conte et al. (2006)
Peru1MC3 -77.5-77.500.74719.0020.821.83Conte et al. (2006)
Peru_Upwelling -77.3-77.300.55019.0015.03-3.97Conte et al. (2006)
SC3 -75.7-75.700.71019.2419.740.49Conte et al. (2006)
MWSC7 -75.6-75.600.65618.3218.15-0.17Conte et al. (2006)
PLDS-066BX -104.1-104.100.82625.9023.13-2.76Conte et al. (2006)
PLDS-090BX -135.1-135.100.93825.0826.441.36Conte et al. (2006)
PLDS-074BX -113.7-113.700.89524.7725.160.39Conte et al. (2006)
PLDS-068BX -105.5-105.500.88524.7724.880.11Conte et al. (2006)
PLDS-072BX -109.3-109.300.88824.7724.960.19Conte et al. (2006)
PLDS-070BX -107.2-107.200.88624.7624.900.14Conte et al. (2006)
PLDS-070BX-107.2-107.200.87324.2024.530.33Conte et al. (2006)
PLDS-077BX -119.9-119.900.91424.2025.721.52Conte et al. (2006)
V19-27 -82.1-82.100.94124.5226.542.03Koutavas and Sachs (2008)
V19-28 -84.7-84.700.85622.8524.041.18Koutavas and Sachs (2008)
V19-30 -83.5-83.500.81222.1222.730.61Koutavas and Sachs (2008)
V21-30 -89.7-89.700.88123.4124.761.36Koutavas and Sachs (2008)
RC11-238 -85.8-85.800.87023.4924.430.94Koutavas and Sachs (2008)
HY06 -95.4-95.400.85524.3524.00-0.34Horikawa et al. (2006)
Y69-71P -86.5-86.500.85725.0024.06-0.94Prahl et al. (2006)
MD02-2529 -84.1-84.100.95428.4926.91-1.58Leduc et al. (2007)
138-846 -90.8-90.800.80323.3322.47-0.86Liu and Herbert (2004)
TR163-19 -91.0-91.000.89326.3325.12-1.22Dubois et al. (2009)
TR163-22 -92.4-92.400.85824.1524.10-0.05Dubois et al. (2009)
TR163-31 -84.0-84.000.79222.1222.130.02Dubois et al. (2009)
TG7 -78.1-78.100.73020.0120.320.31Calvo et al. (2001)
SO147_106KL -77.7-77.700.76319.0021.302.30Rein et al. (2005)
B0406 -76.5-76.500.64718.3217.88-0.44Gutierrez et al. (2011)
AMPH-025G -105.9-105.900.91124.8225.640.81this study
CARR12 -103.5-103.500.89424.7625.140.38this study
DWBG-143 -114.3-114.300.89524.8025.170.37this study
DWBG-144 -115.8-115.800.92024.2725.911.63this study
GS7202-20 -98.0-98.000.92424.3726.031.67this study
GS7202-19 -98.0-98.000.93024.3526.201.85this study
GS7202-23 -101.5-101.500.92224.6225.971.35this study
GS7202-24 -101.6-101.600.91124.4825.651.17this study
GS7202-40 -102.6-102.600.90123.0325.342.31this study
GS7202-46 -78.5-78.500.89319.9725.125.15this study
GS7202-52 -79.5-79.500.90520.5825.464.88this study
ME0005A-04MC4 -95.3-95.300.98127.7327.71-0.03this study
ME0005A-07MC3 -95.3-95.300.99127.7327.990.26this study
ME0005A-08MC3 -95.3-95.300.94127.7326.54-1.20this study
ME0005A-14MC2 -86.4-86.400.97627.6327.56-0.06this study
ME0005A-15MC6 -86.7-86.700.94627.4126.68-0.72this study
ME0005A-21MC3 -86.5-86.500.91525.0025.760.77this study
ME0005A-25MC5 -82.8-82.800.84523.5223.700.18this study
ME0005A-29MC2 -82.0-82.000.92124.9125.951.04this study
ME0005A-35MC1 -85.0-85.000.95227.4426.86-0.58this study
ME0005A-38MC2 -84.1-84.100.95728.2127.00-1.21this study
ME0005A-41MC2 -83.6-83.600.96228.3527.15-1.20this study
ME0005A-20MC8 -86.5-86.500.95227.0426.84-0.20this study
P6702-11G -103.0-103.000.89724.5625.230.67this study
P6702-13G -81.6-81.600.81520.4622.842.38this study
P6702-34G -109.9-109.900.91725.1125.810.71this study
P6702-52G -90.6-90.600.89423.0625.142.08this study
P6702-59 -85.3-85.300.94826.5326.730.20this study
RC13-106 -88.8-88.800.87723.4824.641.16this study
RC13-108 -89.4-89.400.85923.3124.130.82this study
RC13-142 -82.4-82.400.96327.2227.17-0.05this study
RC18-46 -87.3-87.300.86823.3024.381.08this study
RC18-48 -82.4-82.400.92821.6726.164.49this study
RC23-20 -83.6-83.600.92025.9025.920.03this study
SCAN-095G -114.1-114.100.89025.3325.03-0.30this study
KNR176-2-MC11 -77.4-77.400.97226.6827.440.76this study
KNR176-2-MC28 -79.1-79.100.95126.6326.820.19this study
KNR176-2-MC4 -78.1-78.100.94928.3326.78-1.55this study
KNR176-2-MC24 -78.1-78.100.95626.7726.960.19this study
KNR176-2-MC33 -77.6-77.600.95426.7226.910.20this study
KNR176-2-MC7 -77.6-77.600.95326.6326.890.26this study
KNR176-2-MC40 -80.3-80.300.95728.3326.99-1.34this study
KNR176-2-MC37 -77.5-77.500.94926.6326.780.15this study
KNR176-2-MC14 -77.4-77.400.95926.7227.050.34this study
KNR176-2-MC21 -77.4-77.400.92126.7225.95-0.77this study
KNR176-2-MC5 -78.0-78.000.95928.3327.06-1.26this study
KNR182-9-MC2 -72.7-72.700.66719.7218.47-1.26this study
KNR182-9-MC3 -75.1-75.100.75119.2420.951.71this study
KNR182-9-MC4 -77.2-77.200.78219.1321.852.72this study
KNR182-9-MC6 -76.5-76.500.75419.1321.031.91this study
KNR182-9-MC7 -77.0-77.000.80019.0022.393.40this study
KNR182-9-MC8 -78.0-78.000.80219.0022.463.46this study
KNR182-9-MC9 -78.4-78.400.80020.3522.372.02this study
KNR182-9-MC10 -77.6-77.600.74720.3520.830.48this study
KNR182-9-MC12 -78.2-78.200.82220.3523.022.67this study
KNR182-9-MC13 -78.2-78.200.79720.3522.301.95this study
KNR182-9-MC14 -80.3-80.300.77420.3521.621.27this study
KNR182-9-MC15 -83.9-83.900.79722.1222.290.17this study
KNR182-9-MC16 -86.2-86.200.90325.8025.42-0.39this study
KNR182-9-MC17 -90.0-90.000.93727.3026.41-0.89this study
KNR195-5-MC11 -86.5-86.500.84023.5323.560.02this study
KNR195-5-MC33 -82.5-82.500.78121.6721.820.16this study
KNR195-5-MC9 -87.5-87.500.84924.1723.82-0.34this study
KNR195-5-MC34 -83.6-83.600.78822.1222.03-0.09this study
KNR195-5-MC25 -81.0-81.000.77721.2921.710.42this study
KNR195-5-MC42 -89.4-89.400.86223.4124.210.80this study
KNR195-5-MC12 -81.1-81.100.81921.2922.941.66this study
KNR195-5-MC38 -89.4-89.400.82923.4123.24-0.17this study
KNR195-5-MC16 -81.1-81.100.80721.2922.591.30this study
KNR195-5-MC22 -81.2-81.200.82321.2923.061.77this study
KNR195-5-MC18 -81.2-81.200.81821.2922.911.63this study
201-1228 -78.1-78.100.79120.3522.111.76this study
W7706-40 -78.0-78.000.76720.3521.401.05this study
GC_10 -75.6-75.600.72118.3220.051.73this study
54-2-PG9 -104.3-104.301.00025.08this study
AMPH-019G -107.8-107.801.00025.40this study
DWBG-140G -112.5-112.501.00025.51this study
GS7202-22 -104.0-104.001.00025.08this study
GS7202-18 -97.9-97.901.00024.52this study
GS7202-38 -107.6-107.601.00024.16this study
P6702-4G -103.1-103.101.00023.82this study