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QUEST Quaternary: FAMOUS glacial cycle model data

Update Frequency: Not Planned
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2008-12-10
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 FAMOUS (FAst Met Office/UK Universities Simulator) glacial cycle model data from 150,000 years ago to present.

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. (2008): QUEST Quaternary: FAMOUS glacial cycle model data. NCAS British Atmospheric Data Centre, date of citation.
Abbreviation: Not defined
Keywords: QUEST, Quaternary, carbon dioxide, climate change, glaciation


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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 netCDF formatted

Process overview

This dataset was generated by the computation detailed below.
Title FAMOUS Climate model
Abstract FAMOUS (FAst Met Office/UK Universities Simulator) is an ocean-atmosphere general circulation model of low resolution, based on version 4.5 of the UK MetOffice Unified Model.
Input Description None
Output Description None
Software Reference None

No variables found.

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Related parties
Authors (1)