Collection of Multi-model Data from the Arctic Predictability and Prediction On Seasonal-to-Interannual Time-scales (APPOSITE) Project

How feasible is it to predict Arctic climate at seasonal-to-interannual timescales? As part of the APPOSITE project a multi-model ensemble prediction experiment was conducted in order to answer this question.

The main goal of APPOSITE was to quantify the timescales on which Arctic climate is predictable. In order to achieve this, a coordinated set of idealised initial condition predictability experiments with seven general circulation models was conducted. This was the first intercomparison project designed to quantify the predictability of Arctic climate on seasonal to interannual timescales.

Several different coupled climate models performed simulations for APPOSITE (see Doc below for Details of simulations submitted to the APPOSITE database). Six of these models followed the same experimental protocol (see Doc below for Control Simulations details and for Ensemble Predictions). One model, CanCM4 followed a slightly different protocol.

The Model data output from the APPOSITE project are now archived at CEDA. The collection of model outputs (control and prediction) include data from:

- Canadian Centre for Climate Modelling and Analysis (CanCM4)

- ECHAM6-FESOM (E6F), run and developed by the Alfred Wegener Institute.

- EC-Earth consortium (ec-earth_v2_3)

- Geophysical Fluid Dynamics Laboratory (gfdlcm3)

- Met Office (hadgem1-2)

- Model for Interdisciplinary Research on Climate (MIROC5-2)

- Max-Planck-Institut for Meteorologie (mpiesm)

Although designed to address Arctic predictability, this data set could also be used to assess the predictability of other regions and modes of climate variability on these timescales, such as the El Nino Southern Oscillation.

A paper describing the simulations for APPOSITE is in preparation to be submitted to the Geoscientific Model Development Journal.

Note: These data do not correspond to a particular time period since the studies are all conducted in the model world. They are not predictions or attempts to simulate a particular period of time. So the dates in the files are completely arbitrary.

Date (Publication): 2015-06-22T17:19:26

Date (Creation): 2015-06-22T17:19:26

Citation identifier: https://catalogue.ceda.ac.uk/uuid/d330c7873c3f4880893bdedb547bea20

Citation identifier: NCAS British Atmospheric Data Centre (NCAS BADC) / d330c7873c3f4880893bdedb547bea20

Citation identifier: doi / http://dx.doi.org/10.5285/45814db8-56cd-44f2-b3a4-92e41eaaff3f

Point of contact

Organisation name	Individual name	Electronic mail address	Role
Natural Environment Research Council (NERC)		unknown	Author
Unavailable	Day, Jonathan	Unavailable	Author
Unavailable	Hawkins, Ed	Unavailable	Author
Unavailable	Tietsche, Steffen	Unavailable	Author
NCAS British Atmospheric Data Centre (NCAS BADC)		badc@rl.ac.uk	Custodian
NCAS British Atmospheric Data Centre (NCAS BADC)		badc@rl.ac.uk	Distributor
NCAS British Atmospheric Data Centre (NCAS BADC)		badc@rl.ac.uk	pointofContact
NCAS British Atmospheric Data Centre (NCAS BADC)		badc@rl.ac.uk	Publisher

Maintenance and update frequency: Unknown

Update scope: Series

Keywords

APPOSITE
mode
Arctic
climate NERC

GEMET - INSPIRE themes, version 1.0

atmospheric conditions

Access constraints: Other restrictions

Other constraints: Please contact the data centre for assistance on accessing data from this dataset collection.

Use constraints: Other restrictions

Other constraints: Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.

Spatial representation type: Grid

Language: English

Topic category

Climatology, meteorology, atmosphere

Begin date: 1979-01-01T00:00:00

End date: 2011-06-29T23:00:00

Unique resource identifier: WGS 84

Distribution format

Name	Version
Contact data centre for format details.

Distributor contact

Organisation name	Individual name	Electronic mail address	Role
NCAS British Atmospheric Data Centre (NCAS BADC)		badc@rl.ac.uk	Distributor

OnLine resource

Protocol	Linkage	Name
	https://catalogue.ceda.ac.uk/uuid/d330c7873c3f4880893bdedb547bea20	CEDA Data Catalogue Page

OnLine resource

Protocol	Linkage	Name
	http://arp.arctic.ac.uk/projects/arctic-predictability-and-prediction-seasonal-inte/	Arctic Research Programme - APPOSITE

OnLine resource

Protocol	Linkage	Name
	http://www.geosci-model-dev-discuss.net/8/8809/2015/gmdd-8-8809-2015.html	J.Day et al., 2015 - Discussions

Hierarchy level: Series

Conformance result

Title: Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication): 2010-12-08

Statement: Please see data lineage statements for each dataset within this collection for data lineage details.

Metadata

File identifier: d330c7873c3f4880893bdedb547bea20 XML

Metadata language: English

Character set: UTF8

Hierarchy level: Series

Hierarchy level name: series

Date stamp: 2026-03-05T03:27:18

Metadata standard name: UK GEMINI

Metadata standard version: 2.3

Metadata author

Organisation name	Individual name	Electronic mail address	Role
NCAS British Atmospheric Data Centre (NCAS BADC)		badc@rl.ac.uk	Point of contact

Overviews

Spatial extent

Provided by

Access to the catalogue

Read here the full details and access to the data.

Simple

Conformance result

Metadata

Overviews

Spatial extent

Keywords

Provided by

Share on social sites