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dc.contributor.authorMoreno Chamarro, Eduardo
dc.contributor.authorCaron, Louis-Philippe
dc.contributor.authorLoosveldt Tomas, Saskia
dc.contributor.authorVegas Regidor, Javier
dc.contributor.authorGutjahr, Oliver
dc.contributor.authorTourigny, Etienne
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2022-03-16T17:47:17Z
dc.date.available2022-03-16T17:47:17Z
dc.date.issued2022-01
dc.identifier.citationMoreno Chamarro, E. [et al.]. Impact of increased resolution on long-standing biases in HighResMIP-PRIMAVERA climate models. "Geoscientific Model Development (GMD)", 2022, vol. 15, p. 269-289.
dc.identifier.issn1991-959X
dc.identifier.issn1991-9603
dc.identifier.urihttp://hdl.handle.net/2117/364301
dc.description.abstractWe examine the influence of increased resolution on four long-standing biases using five different climate models developed within the PRIMAVERA project. The biases are the warm eastern tropical oceans, the double Intertropical Convergence Zone (ITCZ), the warm Southern Ocean, and the cold North Atlantic. Atmosphere resolution increases from ∼100–200 to ∼25–50 km, and ocean resolution increases from (eddy-parametrized) to (eddy-present). For one model, ocean resolution also reaches ∘ (eddy-rich). The ensemble mean and individual fully coupled general circulation models and their atmosphere-only versions are compared with satellite observations and the ERA5 reanalysis over the period 1980–2014. The four studied biases appear in all the low-resolution coupled models to some extent, although the Southern Ocean warm bias is the least persistent across individual models. In the ensemble mean, increased resolution reduces the surface warm bias and the associated cloud cover and precipitation biases over the eastern tropical oceans, particularly over the tropical South Atlantic. Linked to this and to the improvement in the precipitation distribution over the western tropical Pacific, the double-ITCZ bias is also reduced with increased resolution. The Southern Ocean warm bias increases or remains unchanged at higher resolution, with small reductions in the regional cloud cover and net cloud radiative effect biases. The North Atlantic cold bias is also reduced at higher resolution, albeit at the expense of a new warm bias that emerges in the Labrador Sea related to excessive ocean deep mixing in the region, especially in the ORCA025 ocean model. Overall, the impact of increased resolution on the surface temperature biases is model-dependent in the coupled models. In the atmosphere-only models, increased resolution leads to very modest or no reduction in the studied biases. Thus, both the coupled and atmosphere-only models still show large biases in tropical precipitation and cloud cover, and in midlatitude zonal winds at higher resolutions, with little change in their global biases for temperature, precipitation, cloud cover, and net cloud radiative effect. Our analysis finds no clear reductions in the studied biases due to the increase in atmosphere resolution up to 25–50 km, in ocean resolution up to 0.25∘, or in both. Our study thus adds to evidence that further improved model physics, tuning, and even finer resolutions might be necessary.
dc.description.sponsorshipThis research has been supported by the Horizon2020 project PRIMAVERA (H2020 GA 641727) and IS-ENES3 (H2020 GA 824084). Eduardo Moreno-Chamarro acknowledges funding from the Spanish Science and Innovation Ministry (Ministerio de Ciencia e Innovación) via the STREAM project (PID2020-114746GB-I00) and from the ESA contract CMUG-CCI3-TECHPROP. Etienne Tourigny has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement no. 748750 (SPFireSD project).
dc.format.extent21 p.
dc.language.isoeng
dc.publisherCopernicus Publications
dc.relation.urihttps://gmd.copernicus.org/articles/15/269/2022/gmd-15-269-2022-supplement.pdf
dc.rightsAttribution 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologia
dc.subject.lcshBias
dc.subject.lcshClimatology
dc.subject.otherClimate models
dc.subject.otherLong-standing biases
dc.subject.otherIncreased model resolution
dc.subject.otherPRIMAVERA project
dc.titleImpact of increased resolution on long-standing biases in HighResMIP-PRIMAVERA climate models
dc.typeArticle
dc.subject.lemacSimulació per ordinador
dc.identifier.doi10.5194/gmd-15-269-2022
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://gmd.copernicus.org/articles/15/269/2022/gmd-15-269-2022.html
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/641727/EU/PRocess-based climate sIMulation: AdVances in high resolution modelling and European climate Risk Assessment/PRIMAVERA
local.citation.publicationNameGeoscientific Model Development (GMD)
local.citation.volume15
local.citation.startingPage269
local.citation.endingPage289
dc.description.authorship"Article signat per 13 autors/es: Eduardo Moreno-Chamarro, Louis-Philippe Caron, Saskia Loosveldt Tomas, Javier Vegas-Regidor, Oliver Gutjahr, Marie-Pierre Moine, Dian Putrasahan, Christopher D. Roberts, Malcolm J. Roberts, Retish Senan, Laurent Terray, Etienne Tourigny, and Pier Luigi Vidale"


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