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Tracing dust input to the global ocean using thorium isotopes in marine sediments: ThoroMap
Author(s) -
Kienast S. S.,
Winckler G.,
Lippold J.,
Albani S.,
Mahowald N. M.
Publication year - 2016
Publication title -
global biogeochemical cycles
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.512
H-Index - 187
eISSN - 1944-9224
pISSN - 0886-6236
DOI - 10.1002/2016gb005408
Subject(s) - geology , oceanography , last glacial maximum , aeolian processes , ice core , holocene , environmental science , marine isotope stage , earth science , glacial period , interglacial , geomorphology
Continental dust input into the ocean‐atmosphere system has significant ramifications for biogeochemical cycles and global climate, yet direct observations of dust deposition in the ocean remain scarce. The long‐lived isotope thorium‐232 ( 232 Th) is greatly enriched in upper continental crust compared to oceanic crust and mid‐ocean ridge basalt‐like volcanogenic material. In open ocean sediments, away from fluvial and ice‐rafted sources of continental material, 232 Th is often assumed to be of predominantly eolian origin. In conjunction with flux normalization based on the particle reactive radioisotope thorium‐230 ( 230 Th), 232 Th measurements in marine sediments are a promising proxy for dust accumulation in the modern and past ocean. Here we present ThoroMap, a new global data compilation of 230 Th‐normalized fluxes of 232 Th. After careful screening, we derive dust deposition estimates in the global ocean averaged for the late Holocene (0–4 ka) and the Last Glacial Maximum (LGM, 19–23 ka). ThoroMap is compared with dust deposition estimates derived from the Community Climate System Model (CCSM3) and CCSM4, two coupled atmosphere, land, ocean, and sea ice models. Model‐data correlation factors are 0.63 (CCSM3) and 0.59 (CCSM4) in the late Holocene and 0.82 (CCSM3) and 0.83 (CCSM4) in the LGM. ThoroMap is the first compilation that is built on a single, specific proxy for dust and that exclusively uses flux‐normalization to derive dust deposition rates.