Towards multi-resolution global climate modeling with ECHAM6-FESOM. Part II: climate variability

Rackow, Thomas; Goessling, Helge; Jung, Thomas; Sidorenko, Dmitry; Semmler, Tido; Barbi, Dirk; Handorf, Dörthe

doi:10.1007/s00382-016-3192-6

Cited by 83 publications

(102 citation statements)

References 66 publications

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“…Understanding and rectifying these issues will be the subject of future research. The performance of ECHAM6-FESOM in simulating the climate variability has not been addressed in this paper and will be the subject of a follow-up paper (Rackow et al 2014).…”

Section: Discussionmentioning

confidence: 99%

Towards multi-resolution global climate modeling with ECHAM6–FESOM. Part I: model formulation and mean climate

et al. 2014

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Section: Discussionmentioning

confidence: 99%

Towards multi-resolution global climate modeling with ECHAM6–FESOM. Part I: model formulation and mean climate

et al. 2014

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“…Enhanced horizontal resolution in ocean models can also have beneficial impacts on the simulations. Such impacts include improved simulation of boundary currents, Indonesian throughflow, and water exchange through narrow straits, coastal currents such as the Kuroshio, Leeuwin Current, and Eastern Australian Current, upwelling, oceanic eddies, SST fronts (Sakamoto et al, 2012;Delworth et al, 2012;Small et al, 2015), ENSO (Masumoto et al, 2004;Smith et al, 2000;Rackow et al, 2016), and sea-ice drift and deformation (Zhang et al, 1999;Gent et al, 2010). Although enhanced resolution in atmosphere and ocean models had a beneficial impact on a wide range of modes of internal variability, the relatively short highresolution simulations make it difficult to sort that out in detail due to large decadal fluctuations in interannual variability in for instance ENSO (Sterl et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6

et al. 2016

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Abstract. Robust projections and predictions of climate variability and change, particularly at regional scales, rely on the driving processes being represented with fidelity in model simulations. The role of enhanced horizontal resolution in improved process representation in all components of the climate system is of growing interest, particularly as some recent simulations suggest both the possibility of significant changes in large-scale aspects of circulation as well as improvements in small-scale processes and extremes.However, such high-resolution global simulations at climate timescales, with resolutions of at least 50 km in the atmosphere and 0.25 • in the ocean, have been performed at relatively few research centres and generally without overall coordination, primarily due to their computational cost. Assessing the robustness of the response of simulated climate to model resolution requires a large multi-model ensemble using a coordinated set of experiments. The Coupled Model Intercomparison Project 6 (CMIP6) is the ideal framework within which to conduct such a study, due to the strong link to models being developed for the CMIP DECK experiments and other model intercomparison projects (MIPs).Increases in high-performance computing (HPC) resources, as well as the revised experimental design for CMIP6, now enable a detailed investigation of the impact of increased resolution up to synoptic weather scales on the simulated mean climate and its variability.The High Resolution Model Intercomparison Project (HighResMIP) presented in this paper applies, for the first time, a multi-model approach to the systematic investigation of the impact of horizontal resolution. A coordinated set of experiments has been designed to assess both a standard and an enhanced horizontal-resolution simulation in the atmosphere and ocean. The set of HighResMIP experiments is divided into three tiers consisting of atmosphere-only and coupled runs and spanning the period 1950-2050, with the possibility of extending to 2100, together with some additional targeted experiments. This paper describes the experimental set-up of HighResMIP, the analysis plan, the connection with the other CMIP6 endorsed MIPs, as well as the DECK and CMIP6 historical simulations. HighResMIP thereby focuses on one of the CMIP6 broad questions, "what are the origins and consequences of systematic model biases?", but we also discuss how it addresses the World Climate Research Program (WCRP) grand challenges.

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“…In this study, we use the climate model AWI-CM Rackow et al, 2016). Its ocean-sea ice component is the unstructured-mesh Finite Element Sea Ice-Ocean Model (FESOM, Danilov et al, 2015;Wang et al, 2014).…”

Section: Model Setupmentioning

confidence: 99%

“…However, the ocean components of climate models, assessed either in ocean-only simulations (Ilıcak et al, 2016;Wang et al, 2016aWang et al, , 2016b or in coupled simulations such as those of the Climate Model Intercomparison Project (see, e.g., Pithan et al, 2014, Sgubin et al, 2017, show substantial shortcomings in simulating a realistic ocean state. In this study, we explore the long-term signal from using SPP in the AWI-CM (AWI Climate Model; Sidorenko et al, 2015, Rackow et al, 2016 based on 330-yearlong integrations under constant preindustrial climate forcing. salinity structure (Nguyen et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Influence of a Salt Plume Parameterization in a Coupled Climate Model

Sidorenko

Koldunov

Wang

et al. 2018

J Adv Model Earth Syst

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Sea ice formation is accompanied by the rejection of salt which in nature tends to be mixed vertically by the formation of convective plumes. Here we analyze the influence of a salt plume parameterization in an atmosphere‐sea ice‐ocean model. Two 330‐yearlong simulations have been conducted with the AWI Climate Model. In the reference simulation, the rejected salt in the Arctic Ocean is added to the uppermost ocean layer. This approach is commonly used in climate modeling. In another experiment, employing salt plume parameterization, the rejected salt is vertically redistributed within the mixed layer based on a power law profile that mimics the penetration of salt plumes. We discuss the effects of this redistribution on the simulated mean state and on atmosphere–ocean linkages associated with the intensity of deepwater formation. We find that the salt plume parameterization leads to simultaneous increase of sea ice (volume and concentration) and decrease of sea surface salinity in the Arctic. The salt plume parameterization considerably alters the interplay between the atmosphere and the ocean in the Nordic Seas. The parameterization modifies the ocean ventilation; however, resulting changes in temperature and salinity largely compensate each other in terms of density so that the overturning circulation is not significantly affected.

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Towards multi-resolution global climate modeling with ECHAM6-FESOM. Part II: climate variability

Cited by 83 publications

References 66 publications

Towards multi-resolution global climate modeling with ECHAM6–FESOM. Part I: model formulation and mean climate

Towards multi-resolution global climate modeling with ECHAM6–FESOM. Part I: model formulation and mean climate

High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6

Influence of a Salt Plume Parameterization in a Coupled Climate Model

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