Impact of increased grid resolution on global marine biogeochemistry

2015 ◽  
Vol 147 ◽  
pp. 153-168 ◽  
Author(s):  
William J. McKiver ◽  
Marcello Vichi ◽  
Tomas Lovato ◽  
Andrea Storto ◽  
Simona Masina
2021 ◽  
Vol 14 (6) ◽  
pp. 359-368
Author(s):  
Solange Duhamel ◽  
Julia M. Diaz ◽  
Jamee C. Adams ◽  
Kahina Djaoudi ◽  
Viktoria Steck ◽  
...  

2019 ◽  
Vol 186 ◽  
pp. 106110
Author(s):  
Jian Shi ◽  
Fengyan Shi ◽  
Jinhai Zheng ◽  
Chi Zhang ◽  
Matt Malej ◽  
...  

2017 ◽  
Vol 326 ◽  
pp. 627-639 ◽  
Author(s):  
Liqiang Lu ◽  
Arthur Konan ◽  
Sofiane Benyahia

Endeavour ◽  
1994 ◽  
Vol 18 (2) ◽  
pp. 86
Author(s):  
R Fuge

2021 ◽  
Author(s):  
Olivier Gagliardini ◽  
Fabien Gillet-Chaulet ◽  
Florent Gimbert

<p>Friction at the base of ice-sheets has been shown to be one of the largest uncertainty of model projections for the contribution of ice-sheet to future sea level rise. On hard beds, most of the apparent friction is the result of ice flowing over the bumps that have a size smaller than described by the grid resolution of ice-sheet models. To account for this friction, the classical approach is to replace this under resolved roughness by an ad-hoc friction law. In an imaginary world of unlimited computing resource and highly resolved bedrock DEM, one should solve for all bed roughnesses assuming pure sliding at the bedrock-ice interface. If such solutions are not affordable at the scale of an ice-sheet or even at the scale of a glacier, the effect of small bumps can be inferred using synthetical periodic geometry. In this presentation,<span>  </span>beds are constructed using the superposition of up to five bed geometries made of sinusoidal bumps of decreasing wavelength and amplitudes. The contribution to the total friction of all five beds is evaluated by inverse methods using the most resolved solution as observation. It is shown that small features of few meters can contribute up to almost half of the total friction, depending on the wavelengths and amplitudes distribution. This work also confirms that the basal friction inferred using inverse method<span>  </span>is very sensitive to how the bed topography is described by the model grid, and therefore depends on the size of the model grid itself.<span> </span></p>


2017 ◽  
Vol 9 (2) ◽  
pp. 1307-1324 ◽  
Author(s):  
James J. Benedict ◽  
Brian Medeiros ◽  
Amy C. Clement ◽  
Angeline G. Pendergrass

2016 ◽  
Vol 9 (5) ◽  
pp. 1827-1851 ◽  
Author(s):  
Roland Séférian ◽  
Marion Gehlen ◽  
Laurent Bopp ◽  
Laure Resplandy ◽  
James C. Orr ◽  
...  

Abstract. During the fifth phase of the Coupled Model Intercomparison Project (CMIP5) substantial efforts were made to systematically assess the skill of Earth system models. One goal was to check how realistically representative marine biogeochemical tracer distributions could be reproduced by models. In routine assessments model historical hindcasts were compared with available modern biogeochemical observations. However, these assessments considered neither how close modeled biogeochemical reservoirs were to equilibrium nor the sensitivity of model performance to initial conditions or to the spin-up protocols. Here, we explore how the large diversity in spin-up protocols used for marine biogeochemistry in CMIP5 Earth system models (ESMs) contributes to model-to-model differences in the simulated fields. We take advantage of a 500-year spin-up simulation of IPSL-CM5A-LR to quantify the influence of the spin-up protocol on model ability to reproduce relevant data fields. Amplification of biases in selected biogeochemical fields (O2, NO3, Alk-DIC) is assessed as a function of spin-up duration. We demonstrate that a relationship between spin-up duration and assessment metrics emerges from our model results and holds when confronted with a larger ensemble of CMIP5 models. This shows that drift has implications for performance assessment in addition to possibly aliasing estimates of climate change impact. Our study suggests that differences in spin-up protocols could explain a substantial part of model disparities, constituting a source of model-to-model uncertainty. This requires more attention in future model intercomparison exercises in order to provide quantitatively more correct ESM results on marine biogeochemistry and carbon cycle feedbacks.


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