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dc.contributor.authorLambert, FH
dc.contributor.authorChallenor, PG
dc.contributor.authorLewis, NT
dc.contributor.authorMcNeall, DJ
dc.contributor.authorOwen, N
dc.contributor.authorBoutle, IA
dc.contributor.authorChristensen, HM
dc.contributor.authorKeane, RJ
dc.contributor.authorMayne, NJ
dc.contributor.authorStirling, A
dc.contributor.authorWebb, MJ
dc.date.accessioned2020-09-29T14:08:55Z
dc.date.issued2020-08-03
dc.description.abstractContinuous structural parameterization (CSP) is a proposed method for approximating different numerical model parameterizations of the same process as functions of the same grid-scale variables. This allows systematic comparison of parameterizations with each other and observations or resolved simulations of the same process. Using the example of two convection schemes running in the Met Office Unified Model (UM), we show that a CSP is able to capture concisely the broad behavior of the two schemes, and differences between the parameterizations and resolved convection simulated by a high resolution simulation. When the original convection schemes are replaced with their CSP emulators within the UM, basic features of the original model climate and some features of climate change are reproduced, demonstrating that CSP can capture much of the important behavior of the schemes. Our results open the possibility that future work will estimate uncertainty in model projections of climate change from estimates of uncertainty in simulation of the relevant physical processes.en_GB
dc.description.sponsorshipScience and Technology Facilities Council (STFC)en_GB
dc.identifier.citationVol. 12 (8), article e2020MS002085en_GB
dc.identifier.doi10.1029/2020MS002085
dc.identifier.grantnumberST/R000395/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/123030
dc.language.isoenen_GB
dc.publisherWiley / American Geophysical Unionen_GB
dc.rights©2020. The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en_GB
dc.subjectstatistical modelingen_GB
dc.subjectconvectionen_GB
dc.subjectparameterizationen_GB
dc.subjectGCM modelingen_GB
dc.subjecthigh resolutionen_GB
dc.titleContinuous Structural Parameterization: A Proposed Method for Representing Different Model Parameterizations Within One Structure Demonstrated for Atmospheric Convectionen_GB
dc.typeArticleen_GB
dc.date.available2020-09-29T14:08:55Z
dc.descriptionThis is the final version. Available on open access from Wiley via the DOI in this recorden_GB
dc.identifier.eissn1942-2466
dc.identifier.journalJournal of Advances in Modelling Earth Systems (JAMES)en_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2020-07-29
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2020-08-03
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-09-29T14:07:10Z
refterms.versionFCDVoR
refterms.dateFOA2020-09-29T14:08:59Z
refterms.panelBen_GB


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©2020. The Authors.

This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's licence is described as ©2020. The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.