Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Saavedra-Pellitero, Mariem; Baumann, Karl-Heinz; Hernández-Almeida, Iván; Flores, José-Abel; Sierro, Francisco Javier (2014): Sea surface productivity and temperature detected by coccolith accumulation rates from the southeastern Pacific off Chile. PANGAEA, https://doi.org/10.1594/PANGAEA.831487, Supplement to: Saavedra-Pellitero, M et al. (2013): Modern sea surface productivity and temperature estimations off Chile as detected by coccolith accumulation rates. Palaeogeography, Palaeoclimatology, Palaeoecology, 392, 534-545, https://doi.org/10.1016/j.palaeo.2013.10.010

Always quote above citation when using data! You can download the citation in several formats below.

RIS CitationBibTeX CitationShow MapGoogle Earth

Abstract:
Recent coccoliths from 74 surface sediment samples recovered from the southeastern Pacific off Chile were examined quantitatively to investigate modern regional gradients of sea surface productivity and temperature. All findings are based on coccolith accumulation rates. Therefore an approach was designed to estimate recent sedimentation rates based on 210Pb and bulk chemistry analyses of the same set of surface samples. Highest total coccolith accumulation rates were found off north-central Chile, where seasonal upwelling takes place. Based on amultiple linear regression between calculated coccolith accumulation rates andWorld Ocean Atlas derived sea surface temperatures, a calibrationmodel to reconstruct annual average temperatures of the uppermost 75 mof thewater column is provided. Themodelwas cross-validated and the SST estimateswere compared with SST observed and SST estimates based on diatoms and planktonic foraminifera, showing a good correlation.
Coverage:
Median Latitude: -33.749811 * Median Longitude: -73.173483 * South-bound Latitude: -44.284160 * West-bound Longitude: -75.864660 * North-bound Latitude: -22.841660 * East-bound Longitude: -70.489830
Date/Time Start: 2001-04-02T08:16:00 * Date/Time End: 2001-05-11T20:09:00
Size:
3 datasets

Download Data

Download ZIP file containing all datasets as tab-delimited text (use the following character encoding: )