d330c7873c3f4880893bdedb547bea20 English 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 series series NCAS British Atmospheric Data Centre (NCAS BADC) +44(0)1235 446432 British Atmospheric Data Centre STFC Rutherford Appleton Laboratory Harwell Oxford OX11 0QX UK badc@rl.ac.uk pointOfContact 2026-05-06T02:29:46 UK GEMINI 2.3 WGS 84 Collection of Multi-model Data from the Arctic Predictability and Prediction On Seasonal-to-Interannual Time-scales (APPOSITE) Project 2015-06-22T17:19:26 publication 2015-06-22T17:19:26 creation https://catalogue.ceda.ac.uk/uuid/d330c7873c3f4880893bdedb547bea20 d330c7873c3f4880893bdedb547bea20 NCAS British Atmospheric Data Centre (NCAS BADC) http://dx.doi.org/10.5285/45814db8-56cd-44f2-b3a4-92e41eaaff3f doi 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. Natural Environment Research Council (NERC) author 01793 411500 Polaris House North Star Avenue Swindon SN2 1EU United Kingdom unknown author Day, Jonathan Unavailable author Unavailable author Hawkins, Ed Unavailable author Unavailable author Tietsche, Steffen Unavailable author Unavailable author NCAS British Atmospheric Data Centre (NCAS BADC) custodian +44(0)1235 446432 British Atmospheric Data Centre STFC Rutherford Appleton Laboratory Harwell Oxford OX11 0QX UK badc@rl.ac.uk custodian NCAS British Atmospheric Data Centre (NCAS BADC) distributor +44(0)1235 446432 British Atmospheric Data Centre STFC Rutherford Appleton Laboratory Harwell Oxford OX11 0QX UK badc@rl.ac.uk distributor NCAS British Atmospheric Data Centre (NCAS BADC) point_of_contact +44(0)1235 446432 British Atmospheric Data Centre STFC Rutherford Appleton Laboratory Harwell Oxford OX11 0QX UK badc@rl.ac.uk pointofContact NCAS British Atmospheric Data Centre (NCAS BADC) publisher +44(0)1235 446432 British Atmospheric Data Centre STFC Rutherford Appleton Laboratory Harwell Oxford OX11 0QX UK badc@rl.ac.uk publisher unknown series APPOSITE mode Arctic climate NERC atmospheric conditions theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication otherRestrictions Please contact the data centre for assistance on accessing data from this dataset collection. otherRestrictions 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. grid English climatologyMeteorologyAtmosphere -180.0 180.0 -90.0 90.0 1979-01-01T00:00:00 2011-06-29T23:00:00 Contact data centre for format details. NCAS British Atmospheric Data Centre (NCAS BADC) Data Center Contact +44(0)1235 446432 British Atmospheric Data Centre STFC Rutherford Appleton Laboratory Harwell Oxford OX11 0QX UK badc@rl.ac.uk distributor https://catalogue.ceda.ac.uk/uuid/d330c7873c3f4880893bdedb547bea20 CEDA Data Catalogue Page Detail and access information for the resource information http://arp.arctic.ac.uk/projects/arctic-predictability-and-prediction-seasonal-inte/ Arctic Research Programme - APPOSITE No further details. information http://www.geosci-model-dev-discuss.net/8/8809/2015/gmdd-8-8809-2015.html J.Day et al., 2015 - Discussions No further details. information series 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 2010-12-08 Please see data lineage statements for each dataset within this collection for data lineage details.