Articles | Volume 9, issue 6
https://doi.org/10.5194/gmd-9-2255-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-2255-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model experiment description paper
| 
29 Jun 2016
Model experiment description paper |
| 29 Jun 2016
The Arctic Predictability and Prediction on Seasonal-to-Interannual TimEscales (APPOSITE) data set version 1
NCAS-Climate, Department of Meteorology, University of Reading, Reading, UK
Steffen Tietsche
European Centre for Medium-Range Weather Forecasts, Reading, UK
Mat Collins
College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK
Helge F. Goessling
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Virginie Guemas
Institut Català de Ciències del Clima, Barcelona, Spain
CNRM/GAME, Toulouse, France
Anabelle Guillory
British Atmospheric Data Centre, Rutherford Appleton Laboratory, Chilton, UK
William J. Hurlin
Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
Masayoshi Ishii
Meteorological Research Institute, Tsukuba, Japan
Sarah P. E. Keeley
European Centre for Medium-Range Weather Forecasts, Reading, UK
Daniela Matei
Max Planck Institute for Meteorology, Hamburg, Germany
Rym Msadek
CNRM/GAME, Toulouse, France
Michael Sigmond
Canadian Centre for Climate Modelling and Analysis, Environment Canada, Victoria, Canada
Hiroaki Tatebe
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
Ed Hawkins
NCAS-Climate, Department of Meteorology, University of Reading, Reading, UK
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Cited
25 citations as recorded by crossref.
- Reemergence of Antarctic sea ice predictability and its link to deep ocean mixing in global climate models S. Marchi et al. 10.1007/s00382-018-4292-2
- Arctic summer sea-ice seasonal simulation with a coupled model: Evaluation of mean features and biases P. Saheed et al. 10.1007/s12040-018-1043-z
- Regional Arctic sea–ice prediction: potential versus operational seasonal forecast skill M. Bushuk et al. 10.1007/s00382-018-4288-y
- A Spring Barrier for Regional Predictions of Summer Arctic Sea Ice D. Bonan et al. 10.1029/2019GL082947
- Mechanisms for and Predictability of a Drastic Reduction in the Arctic Sea Ice: APPOSITE Data with Climate Model MIROC J. Ono et al. 10.1175/JCLI-D-18-0195.1
- Robustness of Arctic sea-ice predictability in GCMs E. Blanchard-Wrigglesworth & M. Bushuk 10.1007/s00382-018-4461-3
- Predictability of Arctic sea ice drift in coupled climate models S. Reifenberg & H. Goessling 10.5194/tc-16-2927-2022
- Toward a Data Assimilation System for Seamless Sea Ice Prediction Based on the AWI Climate Model L. Mu et al. 10.1029/2019MS001937
- On the Origin of Discrepancies Between Observed and Simulated Memory of Arctic Sea Ice C. Giesse et al. 10.1029/2020GL091784
- An assessment of regional sea ice predictability in the Arctic ocean R. Cruz-García et al. 10.1007/s00382-018-4592-6
- An improved regional coupled modeling system for Arctic sea ice simulation and prediction: a case study for 2018 C. Yang et al. 10.5194/gmd-15-1155-2022
- Impact of sea-ice thickness initialized in April on Arctic sea-ice extent predictability with the MIROC climate model J. Ono et al. 10.1017/aog.2020.13
- Respective influences of perturbed atmospheric and ocean–sea ice initial conditions on the skill of seasonal Antarctic sea ice predictions: A study with NEMO3.6–LIM3 S. Marchi et al. 10.1016/j.ocemod.2020.101591
- Mechanisms influencing seasonal to inter-annual prediction skill of sea ice extent in the Arctic Ocean in MIROC J. Ono et al. 10.5194/tc-12-675-2018
- Towards seasonal Arctic shipping route predictions N. Melia et al. 10.1088/1748-9326/aa7a60
- European cooperation: How important country is Poland to ensure the Arctic governance? D. García Cáceres 10.1016/j.polar.2018.10.007
- Assessment of Arctic and Antarctic sea ice predictability in CMIP5 decadal hindcasts C. Yang et al. 10.5194/tc-10-2429-2016
- A probabilistic verification score for contours: Methodology and application to Arctic ice‐edge forecasts H. Goessling & T. Jung 10.1002/qj.3242
- Assessing the Decadal Predictability of Land and Ocean Carbon Uptake R. Séférian et al. 10.1002/2017GL076092
- Changing Seasonal Predictability of Arctic Summer Sea Ice Area in a Warming Climate M. Holland et al. 10.1175/JCLI-D-19-0034.1
- Predictability of Arctic sea ice on weather time scales M. Mohammadi-Aragh et al. 10.1038/s41598-018-24660-0
- Information retrieval for Northern Sea Route (NSR) navigation: A statistical approach using the AIS and TOPAZ4 data T. Koyama et al. 10.1016/j.polar.2020.100626
- Sea‐Ice Forecasts With an Upgraded AWI Coupled Prediction System L. Mu et al. 10.1029/2022MS003176
- A Novel Initialization Technique for Decadal Climate Predictions D. Volpi et al. 10.3389/fclim.2021.681127
- Predictability of the Arctic sea ice edge H. Goessling et al. 10.1002/2015GL067232
23 citations as recorded by crossref.
- Reemergence of Antarctic sea ice predictability and its link to deep ocean mixing in global climate models S. Marchi et al. 10.1007/s00382-018-4292-2
- Arctic summer sea-ice seasonal simulation with a coupled model: Evaluation of mean features and biases P. Saheed et al. 10.1007/s12040-018-1043-z
- Regional Arctic sea–ice prediction: potential versus operational seasonal forecast skill M. Bushuk et al. 10.1007/s00382-018-4288-y
- A Spring Barrier for Regional Predictions of Summer Arctic Sea Ice D. Bonan et al. 10.1029/2019GL082947
- Mechanisms for and Predictability of a Drastic Reduction in the Arctic Sea Ice: APPOSITE Data with Climate Model MIROC J. Ono et al. 10.1175/JCLI-D-18-0195.1
- Robustness of Arctic sea-ice predictability in GCMs E. Blanchard-Wrigglesworth & M. Bushuk 10.1007/s00382-018-4461-3
- Predictability of Arctic sea ice drift in coupled climate models S. Reifenberg & H. Goessling 10.5194/tc-16-2927-2022
- Toward a Data Assimilation System for Seamless Sea Ice Prediction Based on the AWI Climate Model L. Mu et al. 10.1029/2019MS001937
- On the Origin of Discrepancies Between Observed and Simulated Memory of Arctic Sea Ice C. Giesse et al. 10.1029/2020GL091784
- An assessment of regional sea ice predictability in the Arctic ocean R. Cruz-García et al. 10.1007/s00382-018-4592-6
- An improved regional coupled modeling system for Arctic sea ice simulation and prediction: a case study for 2018 C. Yang et al. 10.5194/gmd-15-1155-2022
- Impact of sea-ice thickness initialized in April on Arctic sea-ice extent predictability with the MIROC climate model J. Ono et al. 10.1017/aog.2020.13
- Respective influences of perturbed atmospheric and ocean–sea ice initial conditions on the skill of seasonal Antarctic sea ice predictions: A study with NEMO3.6–LIM3 S. Marchi et al. 10.1016/j.ocemod.2020.101591
- Mechanisms influencing seasonal to inter-annual prediction skill of sea ice extent in the Arctic Ocean in MIROC J. Ono et al. 10.5194/tc-12-675-2018
- Towards seasonal Arctic shipping route predictions N. Melia et al. 10.1088/1748-9326/aa7a60
- European cooperation: How important country is Poland to ensure the Arctic governance? D. García Cáceres 10.1016/j.polar.2018.10.007
- Assessment of Arctic and Antarctic sea ice predictability in CMIP5 decadal hindcasts C. Yang et al. 10.5194/tc-10-2429-2016
- A probabilistic verification score for contours: Methodology and application to Arctic ice‐edge forecasts H. Goessling & T. Jung 10.1002/qj.3242
- Assessing the Decadal Predictability of Land and Ocean Carbon Uptake R. Séférian et al. 10.1002/2017GL076092
- Changing Seasonal Predictability of Arctic Summer Sea Ice Area in a Warming Climate M. Holland et al. 10.1175/JCLI-D-19-0034.1
- Predictability of Arctic sea ice on weather time scales M. Mohammadi-Aragh et al. 10.1038/s41598-018-24660-0
- Information retrieval for Northern Sea Route (NSR) navigation: A statistical approach using the AIS and TOPAZ4 data T. Koyama et al. 10.1016/j.polar.2020.100626
- Sea‐Ice Forecasts With an Upgraded AWI Coupled Prediction System L. Mu et al. 10.1029/2022MS003176
Saved (preprint)
Latest update: 18 Apr 2024
Short summary
Recent decades have seen significant developments in seasonal-to-interannual timescale climate prediction. However, until recently the potential of such systems to predict Arctic climate had not been assessed. This paper describes a multi-model predictability experiment which was run as part of the Arctic Predictability and Prediction On Seasonal to Interannual Timescales (APPOSITE) project. The main goal of APPOSITE was to quantify the timescales on which Arctic climate is predictable.
Recent decades have seen significant developments in seasonal-to-interannual timescale climate...
