Hinrichs, Claudia; Koldunov, Nikolay; Wang, Qiang;
The fully coupled climate model AWI-CM is run on two different ocean grids to investigate the impact of horizontal resolution on the simulated Arctic Ocean circulation, and Arctic-Atlantic as well as Arctic Pacific linkages. The ocean-sea ice component runs on an unstructured grid, the low-resolution version has a grid size of about 24 km in the Arctic Ocean, while the high-resolution grid has a grid size of about 4.5 km resolution in the Arctic Ocean. The high-resolution grid has already been tested in uncoupled runs with CORE-II forcing, where is showed improved representation of Atlantic Water circulation and associated heat content in the Arctic. Now, the impact of the higher resolution will be assessed in the coupled set-up and on longer time scales (150 years).
- Full Article: https://www.zenodo.org/record/3245822
Svenya Chripko, Rym Msadek, Emilia Sanchez-Gomez, and Laurent Terray;
Summary of the presentation given im Vienna at EGU 2019 by Svenya Chripko and by Rym Msadek at a CMIP6 workshop in Bordeaux (France) in May 2019.
- Full Article: https://www.zenodo.org/record/3245230
Juan Camilo Acosta;
Poster presented at the CMIP6 workshop in Barcelona during March 2019.
- Full Article: https://www.zenodo.org/record/3244886
David Docquier; Jeremy Grist; Malcolm Roberts; Christopher Roberts; Tido Semmler; Leandro Ponsoni; François Massonnet; Dmitry Sidorenko; Dmitry Sein; Doroteaciro Iovino; Alessio Bellucci; Thierry Fichefet;
Arctic sea-ice area and volume have substantially decreased since the beginning of the satellite era. Concurrently, the poleward heat transport from the North Atlantic Ocean into the Arctic has increased, partly contributing to the loss of sea ice. Increasing the horizontal resolution of general circulation models (GCMs) improves their ability to represent the complex interplay of processes at high latitudes. Here, we investigate the impact of model resolution on Arctic sea ice and Atlantic Ocean heat transport (OHT) by using five different state-of-the-art coupled GCMs (12 model configurations in total) that include dynamic representations of the ocean, atmosphere and sea ice. The models participate in the High Resolution Model Intercomparison Project (HighResMIP) of the sixth phase of the Coupled Model Intercomparison Project (CMIP6). Model results over the period 1950–2014 are compared to different observational datasets. In the models studied, a finer ocean resolution drives lower Arctic sea-ice area and volume and generally enhances Atlantic OHT. The representation of ocean surface characteristics, such as sea-surface temperature (SST) and velocity, is greatly improved by using a finer ocean resolution. This study highlights a clear anticorrelation at interannual time scales between Arctic sea ice (area and volume) and Atlantic OHT north of 60 ◦N in the models studied. However, the strength of this relationship is not systematically impacted by model resolution. The higher the latitude to compute OHT, the stronger the relationship between sea-ice area/volume and OHT. Sea ice in the Barents/Kara and Greenland–Iceland–Norwegian (GIN) Seas is more strongly connected to Atlantic OHT than other Arctic seas.
- Full Article: https://www.zenodo.org/record/3244826
Bojovic, Dragana; Terrado, Marta;
Presentation of APPLICATE user engagement activities at the shared JPI Climate and Climateurope booth at the European Climate Change Adaptation Conference at ECCA
- Full Article: https://www.zenodo.org/record/3243906
Bojovic, Dragana; Terrado, Marta; Christel, Isadora; Doblas-Reyes, Francisco Javier; Jóhannsson, Halldór; Cristini, Luisa; Jung, Thomas
Proceedings of the 5th International Climate Change Adaptation Conference, Cape Town, South Africa, 18 -21 June 2018
- Full Article: https://www.zenodo.org/record/2590955#.XRMzbrrAO70
Bojovic, Dragana; Terrado, Marta
Conference report on the APPLICATE User Group meeting that took place on the 16 January 2018 in Barcelona, Spain
- Full Article: https://www.zenodo.org/record/2590947#.XRMyXLrAO70
Ponsoni, Leandro Georges Lemaître Centre for Earth and Climate Research (TECLIM), Earth and Life Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium ; Massonnet, François; Fichefet, Thierry; Chevallier, Matthieu; Docquier, David
The ocean–sea ice reanalyses are one of the main sources of Arctic sea ice thickness data both in terms of spatial and temporal resolution, since observations are still sparse in time and space. In this work, we first aim at comparing how the sea ice thickness from an ensemble of 14 reanalyses compares with different sources of observations, such as moored upward-looking sonars, submarines, airbornes, satellites, and ice boreholes. Second, based on the same reanalyses, we intend to characterize the timescales (persistence) and length scales of sea ice thickness anomalies. We investigate whether data assimilation of sea ice concentration by the reanalyses impacts the realism of sea ice thickness as well as its respective timescales and length scales. The results suggest that reanalyses with sea ice data assimilation do not necessarily perform better in terms of sea ice thickness compared with the reanalyses which do not assimilate sea ice concentration. However, data assimilation has a clear impact on the timescales and length scales: reanalyses built with sea ice data assimilation present shorter timescales and length scales. The mean timescales and length scales for reanalyses with data assimilation vary from 2.5 to 5.0 months and 337.0 to 732.5 km, respectively, while reanalyses with no data assimilation are characterized by values from 4.9 to 7.8 months and 846.7 to 935.7 km, respectively.
- Full Article: https://www.zenodo.org/record/2571613#.XG1kd1T7S70
Juan C. Acosta Navarro, Pablo Ortega, Javier García-Serrano, Virginie Guemas, Etienne Tourigny, Rubén Cruz-García, François Massonnet, and Francisco J. Doblas-Reyes
The sea-ice extent in the Arctic region hit an absolute record low during November and December of 2016. In the first 15 years of the 21st century, approximately 40% of Barents and Kara Seas were covered with sea-ice during the months of November and December.
- Full Article: https://zenodo.org/record/2557464#.XGVc2FVKiuU
Massonnet François; Sandu Irina;
Poster presented at the YOPP Arctic Science workshop (Helsinki, 14-16 Jan 2019)
- Full Article: https://www.zenodo.org/record/2540486#.XFlRpp37S70