We create a 3-D density, temperature, and composition model of the Antarctic lithosphere using an integrative approach combining gravity, topography, and tomography data with mineral physics constraints and seismic data on crustal structures. The latter is used to create a new Moho and crustal density model. Temperature and thermal density variations are estimated based on S wave velocities from two independent tomography models (SL2013sv and AN1-S). Results of the Antarctic continent show the well-known distinction between East and West Antarctica in temperature and density to a depth of about 200km. Incorporating compositional variations in the temperature calculations increases temperatures in depleted regions by up to 150 degrees C, giving improved insights into thermal structures. The thickness of the lithospheric root also varies strongly between these regions, with values below 100km in the west and above 200km in the east. Regions with negative compositional density variations (<-0.040g/cm(3) at 100km), high depletion (Mg #>91.5), and low temperatures (<800 degrees C; central Dronning Maud Land, along the east flank of the Transantarctic Mountains) are interpreted as Precambrian cratonic fragments. Nearly undepleted lithosphere is found in the Lambert Graben and the Aurora Subglacial Basin and is attributed to Mesozoic rifting activity that has caused lithospheric rejuvenation. Plain Language Summary Antarctica remains one of the least studied areas on Earth, because large ice masses and climate conditions strongly hinder measurements. It plays an important role in global phenomena such as sea level change. In order to understand and predict these processes, we need knowledge about the heat coming from the Earth's interior. It has been recently recognized that the thermal state of the lithosphere, the rigid outer shell of the Earth, plays an important role in controlling dynamics of the ice shield and, thus, global sea level changes. Therefore, we create a model of the lithosphere describing the variation in temperature, density, and composition. Before, such models were created by using some single data set (usually seismic tomography). We employ a new integrative approach, combining several data sets to create a comprehensive 3-D model of the Antarctic lithosphere. Combination of various data sets gives more robust models than when using a single approach. Our results of the Antarctic continent show strong differences between East and West Antarctica in temperature and density to a depth of about 200km. Regions with negative compositional density variations and low temperatures are identified within East Antarctica and are interpreted as being substantially older than the surrounding continent.
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Univ Oulu, Oulu Min Sch, POB 3000, FI-90014 Oulu, Finland
Geol Survey Finland, POB 77,Lahteentie 2, FI-96101 Rovaniemi, FinlandUniv Oulu, Oulu Min Sch, POB 3000, FI-90014 Oulu, Finland
Autio, U. A.
Smirnov, M. Yu
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Lulea Univ Technol, Dept Civil Environm & Nat Resources Engn, S-97187 Lulea, SwedenUniv Oulu, Oulu Min Sch, POB 3000, FI-90014 Oulu, Finland
Smirnov, M. Yu
Smirnova, M.
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Univ Cologne, Inst Geophys & Meteorol, Pohligstr 3, D-50969 Cologne, GermanyUniv Oulu, Oulu Min Sch, POB 3000, FI-90014 Oulu, Finland
Smirnova, M.
Bauer, T. E.
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Lulea Univ Technol, Dept Civil Environm & Nat Resources Engn, S-97187 Lulea, SwedenUniv Oulu, Oulu Min Sch, POB 3000, FI-90014 Oulu, Finland
Bauer, T. E.
Korja, T.
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Lulea Univ Technol, Dept Civil Environm & Nat Resources Engn, S-97187 Lulea, SwedenUniv Oulu, Oulu Min Sch, POB 3000, FI-90014 Oulu, Finland
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Univ Porto, Fac Sci, CEMMPRE Ctr Mech Engn Mat & Proc, Rua Campo Alegre S-N, P-4169007 Oporto, PortugalUniv Porto, Fac Sci, CEMMPRE Ctr Mech Engn Mat & Proc, Rua Campo Alegre S-N, P-4169007 Oporto, Portugal
Lamas, R.
Miranda, M. M.
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Univ Coimbra, IMAR Inst Marine Res, CEMMPRE Ctr Mech Engn Mat & Proc, Dept Earth Sci, Rua Silvio Lima Polo II, P-3030790 Coimbra, PortugalUniv Porto, Fac Sci, CEMMPRE Ctr Mech Engn Mat & Proc, Rua Campo Alegre S-N, P-4169007 Oporto, Portugal
Miranda, M. M.
Pereira, A. J. S. C.
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Univ Coimbra, IMAR Inst Marine Res, CEMMPRE Ctr Mech Engn Mat & Proc, Dept Earth Sci, Rua Silvio Lima Polo II, P-3030790 Coimbra, PortugalUniv Porto, Fac Sci, CEMMPRE Ctr Mech Engn Mat & Proc, Rua Campo Alegre S-N, P-4169007 Oporto, Portugal
Pereira, A. J. S. C.
Neves, L. J. P. F.
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Univ Coimbra, IMAR Inst Marine Res, CEMMPRE Ctr Mech Engn Mat & Proc, Dept Earth Sci, Rua Silvio Lima Polo II, P-3030790 Coimbra, PortugalUniv Porto, Fac Sci, CEMMPRE Ctr Mech Engn Mat & Proc, Rua Campo Alegre S-N, P-4169007 Oporto, Portugal
Neves, L. J. P. F.
Ferreira, N.
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LNEG, Campus S Mamede de Infesta,Rua Amieira, P-4466901 Sao Mamede de Infesta, PortugalUniv Porto, Fac Sci, CEMMPRE Ctr Mech Engn Mat & Proc, Rua Campo Alegre S-N, P-4169007 Oporto, Portugal
Ferreira, N.
Rodrigues, N. V.
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Univ Coimbra, IMAR Inst Marine Res, CEMMPRE Ctr Mech Engn Mat & Proc, Dept Earth Sci, Rua Silvio Lima Polo II, P-3030790 Coimbra, PortugalUniv Porto, Fac Sci, CEMMPRE Ctr Mech Engn Mat & Proc, Rua Campo Alegre S-N, P-4169007 Oporto, Portugal
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Univ Buenos Aires, Fac Ciencias Exactas & Nat, Dept Cs Geol, CONICET,IGeBA, Buenos Aires, DF, ArgentinaUniv Buenos Aires, Fac Ciencias Exactas & Nat, Dept Cs Geol, CONICET,IGeBA, Buenos Aires, DF, Argentina
Vazquez Lucero, S. E.
Ibarra, F.
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Univ Buenos Aires, Fac Ciencias Exactas & Nat, Dept Cs Geol, CONICET,IGeBA, Buenos Aires, DF, ArgentinaUniv Buenos Aires, Fac Ciencias Exactas & Nat, Dept Cs Geol, CONICET,IGeBA, Buenos Aires, DF, Argentina
Ibarra, F.
Dacal, M. L. Gomez
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Helmholtz Zentrum Potsdam, GFZ German Res Ctr Geosci, Potsdam, GermanyUniv Buenos Aires, Fac Ciencias Exactas & Nat, Dept Cs Geol, CONICET,IGeBA, Buenos Aires, DF, Argentina
Dacal, M. L. Gomez
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Prezzi, C.
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Bott, J.
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Scheck-Wenderoth, M.
Vizan, H.
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Univ Buenos Aires, Fac Ciencias Exactas & Nat, Dept Cs Geol, CONICET,IGeBA, Buenos Aires, DF, ArgentinaUniv Buenos Aires, Fac Ciencias Exactas & Nat, Dept Cs Geol, CONICET,IGeBA, Buenos Aires, DF, Argentina