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Late Eocene onset of the Proto-Antarctic Circumpolar Current ArchiMer
Sarkar, Sudipta; Basak, Chandranath; Frank, Martin; Berndt, Christian; Huuse, Mads; Badhani, Shray; Bialas, Joerg.
The formation of the Antarctic Circumpolar Current (ACC) is critical for the evolution of the global climate, but the timing of its onset is not well constrained. Here, we present new seismic evidence of widespread Late Eocene to Oligocene marine diagenetic chert in sedimentary drift deposits east of New Zealand indicating prolonged periods of blooms of siliceous microorganisms starting ~36 million years ago (Ma). These major blooms reflect the initiation of the arrival and upwelling of northern-sourced, nutrient-rich deep equatorial Pacific waters at the high latitudes of the South Pacific. We show that this change in circulation was linked to the initiation of a proto-ACC, which occurred ~6 Ma earlier than the currently estimated onset of the ACC at...
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Ano: 2019 URL: https://archimer.ifremer.fr/doc/00506/61778/65775.pdf
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Toward Long-Term Aquatic Science Products from Heritage Landsat Missions ArchiMer
Pahlevan, Nima; Balasubramanian, Sundarabalan V.; Sarkar, Sudipta; Franz, Bryan A..
This paper aims at generating a long-term consistent record of Landsat-derived remote sensing reflectance (R-rs) products, which are central for producing downstream aquatic science products (e.g., concentrations of total suspended solids). The products are derived from Landsat-5 and Landsat-7 observations leading to Landsat-8 era to enable retrospective analyses of inland and nearshore coastal waters. In doing so, the data processing was built into the SeaWiFS Data Analysis System (SeaDAS) followed by vicariously calibrating Landsat-7 and -5 data using reference in situ measurements and near-concurrent ocean color products, respectively. The derived R rs products are then validated using (a) matchups using the Aerosol Robotic Network (AERONET) data...
Tipo: Text Palavras-chave: Landsat; Coastal/inland waters; Atmospheric correction; Vicarious calibration; Validation; Water quality; Time-series applications.
Ano: 2018 URL: https://archimer.ifremer.fr/doc/00585/69696/67581.pdf
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