This website uses cookies. By continuing to use this website you are agreeing to our use of cookies. 


Update Frequency: Not Planned
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2014-09-21
Download Stats: last 12 months


Quaternary QUEST was led by Dr Tim Lenton at UEA, with a team of 10 co-investigators at the Universities of Cambridge, Oxford, Reading, Leeds, Bristol, Southampton and at UEA.

This dataset contains the Quaternary QUEST marine isotope data compilation for the last 150,000 years.

The project team aimed to compile a synthesis of palaeodata from sediments and ice cores, improve the synchronization of these records with each other, and use this greater understanding of the Earth’s ancient atmosphere to improve Earth system models simulating climate over very long timescales. A combined long-term data synthesis and modelling approach has helped to constrain some key mechanisms responsible for glacial-interglacial CO2 change, and Quaternary QUEST have narrowed the field of ocean processes that could have caused glacial CO2 drawdown.

Citable as:  Lenton, T. (2014): QUEST Quaternary: Marine isotope data. NCAS British Atmospheric Data Centre, date of citation.
Abbreviation: Not defined
Keywords: QUEST, Quaternary, carbon dioxide, climate change, glaciation


Previous Info:
No news update for this record
Previously used record identifiers:
Access rules:
Access to these data is available to any registered CEDA user. Please Login or Register for an account to gain access.
Use of these data is covered by the following licence: When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Data provided by Prof Tim Lenton at the University of East Anglia for archiving at the BADC.

Data Quality:
Not known.
File Format:
Data are CSV formatted

Process overview

This dataset was generated by the computation detailed below.
Title GENIE-1 Model
Abstract GENIE is a flexible framework for climate modelling that can be used to couple together different model components of varying complexity in order to provide an appropriate modelling tool for a wide range of possible applications. GENIE has modules that describe the ocean, the atmosphere, ocean biogeochemistry, marine sedimentary processes, weathering processes, terrestrial vegetation, sea-ice and ice-sheets.
Input Description None
Output Description None
Software Reference None

No variables found.

Temporal Range
Start time:
End time:
Geographic Extent

Related parties
Authors (1)