Articles | Volume 12, issue 7
https://doi.org/10.5194/gmd-12-2635-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-2635-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
05 Jul 2019
Model evaluation paper |
| 05 Jul 2019
| 05 Jul 2019
Sensitivity of deep ocean biases to horizontal resolution in prototype CMIP6 simulations with AWI-CM1.0
Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Dmitry V. Sein
Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Shirshov Institute of Oceanology, Russian Academy of Science, Moscow, Russia
Tido Semmler
Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Sergey Danilov
Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Nikolay V. Koldunov
Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
MARUM, University of Bremen, Bremen, Germany
Dmitry Sidorenko
Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Qiang Wang
Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Thomas Jung
Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Institute of Environmental Physics, University of Bremen, Bremen, Germany
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- Impacts of Model Horizontal Resolution on Mean Sea Surface Temperature Biases in the Community Earth System Model G. Xu et al. 10.1029/2022JC019065
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- Evaluation of FESOM2.0 Coupled to ECHAM6.3: Preindustrial and HighResMIP Simulations D. Sidorenko et al. 10.1029/2019MS001696
- MPAS‐Ocean Simulation Quality for Variable‐Resolution North American Coastal Meshes K. Hoch et al. 10.1029/2019MS001848
- Simulations for CMIP6 With the AWI Climate Model AWI‐CM‐1‐1 T. Semmler et al. 10.1029/2019MS002009
- Multiscale data assimilation in the Bluelink ocean reanalysis (BRAN) M. Chamberlain et al. 10.1016/j.ocemod.2021.101849
- On the Importance of High-Resolution in Large-Scale Ocean Models E. Chassignet & X. Xu 10.1007/s00376-021-0385-7
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26 citations as recorded by crossref.
- Resolving and Parameterising the Ocean Mesoscale in Earth System Models H. Hewitt et al. 10.1007/s40641-020-00164-w
- Growth of ocean thermal energy conversion resources under greenhouse warming regulated by oceanic eddies T. Du et al. 10.1038/s41467-022-34835-z
- Delayed Antarctic sea-ice decline in high-resolution climate change simulations T. Rackow et al. 10.1038/s41467-022-28259-y
- Efficient ensemble data assimilation for coupled models with the Parallel Data Assimilation Framework: example of AWI-CM (AWI-CM-PDAF 1.0) L. Nerger et al. 10.5194/gmd-13-4305-2020
- Strongly Coupled Data Assimilation of Ocean Observations Into an Ocean‐Atmosphere Model Q. Tang et al. 10.1029/2021GL094941
- Subsurface warming in the Antarctica’s Weddell Sea can be avoided by reaching the 2∘C warming target V. Teske et al. 10.1038/s43247-024-01238-5
- An ocean modeling study to quantify wind forcing and oceanic mixing effects on the tropical North Pacific subsurface warm bias in CMIP and OMIP simulations Y. Zhu et al. 10.1007/s00382-021-05946-y
- Evaluation of Antarctic sea ice thickness and volume during 2003–2014 in CMIP6 using Envisat and CryoSat-2 observations Y. Hou et al. 10.1088/1748-9326/ad1725
- Sea Ice Targeted Geoengineering Can Delay Arctic Sea Ice Decline but not Global Warming L. Zampieri & H. Goessling 10.1029/2019EF001230
- Antarctic Sea Ice Area in CMIP6 L. Roach et al. 10.1029/2019GL086729
- Does Increasing Climate Model Horizontal Resolution Be Beneficial for the Mediterranean Region?: Multimodel Evaluation Framework for High‐Resolution Model Intercomparison Project A. Mishra et al. 10.1029/2022JD037812
- Stratification constrains future heat and carbon uptake in the Southern Ocean between 30°S and 55°S T. Bourgeois et al. 10.1038/s41467-022-27979-5
- Scalability and some optimization of the Finite-volumE Sea ice–Ocean Model, Version 2.0 (FESOM2) N. Koldunov et al. 10.5194/gmd-12-3991-2019
- Impact of horizontal resolution on global ocean–sea ice model simulations based on the experimental protocols of the Ocean Model Intercomparison Project phase 2 (OMIP-2) E. Chassignet et al. 10.5194/gmd-13-4595-2020
- Overview of the Norwegian Earth System Model (NorESM2) and key climate response of CMIP6 DECK, historical, and scenario simulations Ø. Seland et al. 10.5194/gmd-13-6165-2020
- Flow‐dependent stochastic coupling for climate models with high ocean‐to‐atmosphere resolution ratio T. Rackow & S. Juricke 10.1002/qj.3674
- Geometry of the Meridional Overturning Circulation at the Last Glacial Maximum F. Pavia et al. 10.1175/JCLI-D-21-0671.1
- Ocean Kinetic Energy Backscatter Parametrization on Unstructured Grids: Impact on Global Eddy‐Permitting Simulations S. Juricke et al. 10.1029/2019MS001855
- Local Air‐Sea Interactions at Ocean Mesoscale and Submesoscale in a Western Boundary Current E. Strobach et al. 10.1029/2021GL097003
- Impacts of Model Horizontal Resolution on Mean Sea Surface Temperature Biases in the Community Earth System Model G. Xu et al. 10.1029/2022JC019065
- Abrupt Climate and Weather Changes Across Time Scales G. Lohmann et al. 10.1029/2019PA003782
- Evaluation of FESOM2.0 Coupled to ECHAM6.3: Preindustrial and HighResMIP Simulations D. Sidorenko et al. 10.1029/2019MS001696
- MPAS‐Ocean Simulation Quality for Variable‐Resolution North American Coastal Meshes K. Hoch et al. 10.1029/2019MS001848
- Simulations for CMIP6 With the AWI Climate Model AWI‐CM‐1‐1 T. Semmler et al. 10.1029/2019MS002009
- Multiscale data assimilation in the Bluelink ocean reanalysis (BRAN) M. Chamberlain et al. 10.1016/j.ocemod.2021.101849
- On the Importance of High-Resolution in Large-Scale Ocean Models E. Chassignet & X. Xu 10.1007/s00376-021-0385-7
Latest update: 18 Apr 2024
Short summary
Current climate models show errors in the deep ocean that are larger than the level of natural variability and the response to enhanced greenhouse gas concentrations. These errors are larger than the signals we aim to predict. With the AWI Climate Model, we show that increasing resolution to resolve eddies can lead to major reductions in deep ocean errors. AWI's next-generation (CMIP6) model configuration will thus use locally eddy-resolving computational grids for projecting climate change.
Current climate models show errors in the deep ocean that are larger than the level of natural...
