(Table S1) Volcanic Synthesis EDML-EDC


Autoria(s): Ruth, Urs
Cobertura

LATITUDE: -75.002500 * LONGITUDE: 0.068400 * DATE/TIME START: 2001-01-10T00:00:00 * DATE/TIME END: 2006-01-17T00:00:00 * MINIMUM DEPTH, ice/snow: 0.000 m * MAXIMUM DEPTH, ice/snow: 2452.365 m

Data(s)

30/01/2007

Resumo

This is a "synthesis table" of the volcanic synchronisations performed by several groups. It was necessary to perform this synthesis to avoid inconsistencies resulting from slightly different depth scales for the different parameters used and to eliminate the very few inconsistent matches.

Formato

text/tab-separated-values, 1003 data points

Identificador

https://doi.pangaea.de/10.1594/PANGAEA.601959

doi:10.1594/PANGAEA.601959

Idioma(s)

en

Publicador

PANGAEA

Relação

doi:10.1594/PANGAEA.602127

Ruth, Urs; Barnola, Jean-Marc; Beer, Jürg; Bigler, Matthias; Blunier, Thomas; Castellano, Emiliano; Fischer, Hubertus; Fundel, Felix; Huybrechts, Philippe; Kaufmann, Patrik R; Kipfstuhl, Sepp; Lambrecht, Anja; Morganti, Andrea; Oerter, Hans; Parrenin, Frédéric; Rybak, Oleg; Severi, Mirko; Udisti, Roberto; Wilhelms, Frank; Wolff, Eric W (2007): EDML1: a chronology for the EPICA deep ice core from Dronning Maud Land, Antarctica, over the last 150 000 years. Climate of the Past, 3, 475-484, doi:10.5194/cp-3-475-2007

Severi, Mirko; Becagli, Silvia; Castellano, Emiliano; Morganti, Andrea; Traversi, Rita; Udisti, Roberto; Ruth, Urs; Fischer, Hubertus; Huybrechts, Philippe; Wolff, Eric W; Parrenin, Frédéric; Kaufmann, Patrik R; Lambert, Fabrice; Steffensen, Jørgen Peder (2007): Synchronisation of the EDML and EDC ice cores for the last 52 kyr by volcanic signature matching. Climate of the Past, 3, 367-374, doi:10.5194/cp-3-367-2007

Direitos

CC-BY: Creative Commons Attribution 3.0 Unported

Access constraints: unrestricted

Palavras-Chave #Comment; Confidence level; DEPTH, ice/snow; Depth, reference; DML28C01_00; EDML; EDRILL; EPICA; EPICA-Campaigns; EPICA drill; European Project for Ice Coring in Antarctica; Kohnen Station; Principle investigator
Tipo

Dataset