Improving past sea surface temperature reconstructions from the Southern Hemisphere oceans using planktonic foraminiferal census data
被引:11
|
作者:
Haddam, N. A.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Paris 11, CNRS, GEOPS Geosci Paris Sud, Orsay, France
CEA CNRS UVSQ, LSCE IPSL Lab Sci Climat & Environm, Gif Sur Yvette, FranceUniv Paris 11, CNRS, GEOPS Geosci Paris Sud, Orsay, France
Haddam, N. A.
[1
,2
]
Michel, E.
论文数: 0引用数: 0
h-index: 0
机构:
CEA CNRS UVSQ, LSCE IPSL Lab Sci Climat & Environm, Gif Sur Yvette, FranceUniv Paris 11, CNRS, GEOPS Geosci Paris Sud, Orsay, France
Michel, E.
[2
]
Siani, G.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Paris 11, CNRS, GEOPS Geosci Paris Sud, Orsay, FranceUniv Paris 11, CNRS, GEOPS Geosci Paris Sud, Orsay, France
Siani, G.
[1
]
Cortese, G.
论文数: 0引用数: 0
h-index: 0
机构:
GNS Sci, Lower Hutt, New ZealandUniv Paris 11, CNRS, GEOPS Geosci Paris Sud, Orsay, France
Cortese, G.
[3
]
Bostock, H. C.
论文数: 0引用数: 0
h-index: 0
机构:
Natl Inst Water & Atmospher Res, Wellington, New ZealandUniv Paris 11, CNRS, GEOPS Geosci Paris Sud, Orsay, France
Bostock, H. C.
[4
]
Duprat, J. M.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Bordeaux, EPOC, Talence, FranceUniv Paris 11, CNRS, GEOPS Geosci Paris Sud, Orsay, France
Duprat, J. M.
[5
]
Isguder, G.
论文数: 0引用数: 0
h-index: 0
机构:
CEA CNRS UVSQ, LSCE IPSL Lab Sci Climat & Environm, Gif Sur Yvette, FranceUniv Paris 11, CNRS, GEOPS Geosci Paris Sud, Orsay, France
Isguder, G.
[2
]
机构:
[1] Univ Paris 11, CNRS, GEOPS Geosci Paris Sud, Orsay, France
[2] CEA CNRS UVSQ, LSCE IPSL Lab Sci Climat & Environm, Gif Sur Yvette, France
[3] GNS Sci, Lower Hutt, New Zealand
[4] Natl Inst Water & Atmospher Res, Wellington, New Zealand
planktonic foraminifera census;
Modern Analog Technique;
sea surface temperature;
database;
MARGO;
Southern Hemisphere;
CARBONATE DISSOLUTION;
ATLANTIC;
NORTHERN;
PRESERVATION;
PACIFIC;
D O I:
10.1002/2016PA002946
中图分类号:
P [天文学、地球科学];
学科分类号:
07 ;
摘要:
We present an improved database of planktonic foraminiferal census counts from the Southern Hemisphere oceans (SHO) from 15 degrees S to 64 degrees S. The SHO database combines three existing databases. Using this SHO database, we investigated dissolution biases that might affect faunal census counts. We suggest a depth/ CO32- threshold of similar to 3800m/ CO32-=similar to-10 to -5 mu mol/kg for the Pacific and Indian Oceans and similar to 4000m/ CO32-=similar to 0 to 10 mu mol/kg for the Atlantic Ocean, under which core-top assemblages can be affected by dissolution and are less reliable for paleo-sea surface temperature (SST) reconstructions. We removed all core tops beyond these thresholds from the SHO database. This database has 598 core tops and is able to reconstruct past SST variations from 2 degrees to 25.5 degrees C, with a root mean square error of 1.00 degrees C, for annual temperatures. To inspect how dissolution affects SST reconstruction quality, we tested the data base with two leave-one-out tests, with and without the deep core tops. We used this database to reconstruct summer SST (SSST) over the last 20ka, using the Modern Analog Technique method, on the Southeast Pacific core MD07-3100. This was compared to the SSST reconstructed using the three databases used to compile the SHO database, thus showing that the reconstruction using the SHO database is more reliable, as its dissimilarity values are the lowest. The most important aspect here is the importance of a bias-free, geographic-rich database. We leave this data set open-ended to future additions; the new core tops must be carefully selected, with their chronological frameworks, and evidence of dissolution assessed.
机构:
Qingdao Univ Sci & Technol, Coll Informat Sci & Technol, Qingdao 266061, Peoples R China
Qingdao Univ Sci & Technol, Res Inst Math & Interdisciplinary Sci, Qingdao 266061, Peoples R ChinaQingdao Univ Sci & Technol, Coll Informat Sci & Technol, Qingdao 266061, Peoples R China
Wang, Haoyu
Song, Tingqiang
论文数: 0引用数: 0
h-index: 0
机构:
Qingdao Univ Sci & Technol, Coll Informat Sci & Technol, Qingdao 266061, Peoples R ChinaQingdao Univ Sci & Technol, Coll Informat Sci & Technol, Qingdao 266061, Peoples R China
Song, Tingqiang
Zhu, Shanliang
论文数: 0引用数: 0
h-index: 0
机构:
Qingdao Univ Sci & Technol, Res Inst Math & Interdisciplinary Sci, Qingdao 266061, Peoples R China
Qingdao Univ Sci & Technol, Sch Math & Phys, Qingdao 266061, Peoples R ChinaQingdao Univ Sci & Technol, Coll Informat Sci & Technol, Qingdao 266061, Peoples R China
Zhu, Shanliang
Yang, Shuguo
论文数: 0引用数: 0
h-index: 0
机构:
Qingdao Univ Sci & Technol, Res Inst Math & Interdisciplinary Sci, Qingdao 266061, Peoples R China
Qingdao Univ Sci & Technol, Sch Math & Phys, Qingdao 266061, Peoples R ChinaQingdao Univ Sci & Technol, Coll Informat Sci & Technol, Qingdao 266061, Peoples R China
Yang, Shuguo
Feng, Liqiang
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Oceanol, Marine Sci Data Ctr, Qingdao 266071, Peoples R China
Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R ChinaQingdao Univ Sci & Technol, Coll Informat Sci & Technol, Qingdao 266061, Peoples R China
机构:
State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences
University of Chinese Academy ofState Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences
Shaolei TANG
Xiaofeng YANG
论文数: 0引用数: 0
h-index: 0
机构:
State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of SciencesState Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences
Xiaofeng YANG
Di DONG
论文数: 0引用数: 0
h-index: 0
机构:
State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences
University of Chinese Academy ofState Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences
Di DONG
Ziwei LI
论文数: 0引用数: 0
h-index: 0
机构:
State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of SciencesState Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences
机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Univ Chinese Acad Sci, Beijing 100049, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Tang, Shaolei
Yang, Xiaofeng
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Yang, Xiaofeng
Dong, Di
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Univ Chinese Acad Sci, Beijing 100049, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Dong, Di
Li, Ziwei
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China