NERC Data Catalogue Service
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.
Default
Identification info
- Metadata Language
- English (en)
- Dataset Reference Date ()
- 2015-06-22T17:19:26
- Dataset Reference Date ()
- 2015-06-22T17:19:26
- Identifier
- NCAS British Atmospheric Data Centre (NCAS BADC) / d330c7873c3f4880893bdedb547bea20
- Identifier
- doi / http://dx.doi.org/10.5285/45814db8-56cd-44f2-b3a4-92e41eaaff3f
- Maintenance and update frequency
- unknown
- Update scope
- series
- Keywords
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- APPOSITE
- mode
- Arctic
- climate NERC
- GEMET - INSPIRE themes, version 1.0 ()
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- atmospheric conditions
- Limitations on Public Access
- otherRestrictions
- Other constraints
- Please contact the data centre for assistance on accessing data from this dataset collection.
- Use constraints
- otherRestrictions
- Other constraints
- Usage limitations for the data within this collection is set at the individual dataset level. Please refer to the licence details of each underlying dataset.
- Spatial representation type
- grid
- Topic category
-
- Climatology, meteorology, atmosphere
))
- Begin date
- 1979-01-01T00:00:00
- End date
- 2011-06-29T23:00:00
- Code
- WGS 84
Distribution Information
- Data format
-
-
Contact data centre for format details.
()
-
Contact data centre for format details.
()
- Resource Locator
-
CEDA Data Catalogue Page
Detail and access information for the resource
- Resource Locator
-
Arctic Research Programme - APPOSITE
No further details.
- Resource Locator
-
J.Day et al., 2015 - Discussions
No further details.
- Resource Locator
-
CEDA Data Catalogue Page
Detail and access information for the resource
- Resource Locator
-
Arctic Research Programme - APPOSITE
No further details.
- Resource Locator
-
J.Day et al., 2015 - Discussions
No further details.
- Quality Scope
- series
Report
- Dataset Reference Date ()
- 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 (en)
- Character set
- 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646
- Resource type
- series
- Hierarchy level name
- series
- Metadata Date
- 2023-01-26T02:23:11
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
