Uncertainties due to transport-parameter sensitivity in an efficient 3-D ocean-climate model
A simplified climate model is presented which includes a fully 3-D, frictional geostrophic (FG) ocean component but retains an integration efficiency considerably greater than extant climate models with 3-D, primitive-equation ocean representations (20kyears of integration can be completed in about...
Main Authors: | , |
---|---|
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://doc.rero.ch/record/312810/files/382_2004_Article_508.pdf |
id |
ftreroch:oai:doc.rero.ch:312810 |
---|---|
record_format |
openpolar |
spelling |
ftreroch:oai:doc.rero.ch:312810 2023-05-15T18:18:48+02:00 Uncertainties due to transport-parameter sensitivity in an efficient 3-D ocean-climate model Edwards, Neil Marsh, Robert 2018-06-18T17:47:50Z http://doc.rero.ch/record/312810/files/382_2004_Article_508.pdf eng eng http://doc.rero.ch/record/312810/files/382_2004_Article_508.pdf 2018 ftreroch 2023-02-16T17:31:17Z A simplified climate model is presented which includes a fully 3-D, frictional geostrophic (FG) ocean component but retains an integration efficiency considerably greater than extant climate models with 3-D, primitive-equation ocean representations (20kyears of integration can be completed in about a day on a PC). The model also includes an Energy and Moisture Balance atmosphere and a dynamic and thermodynamic sea-ice model. Using a semi-random ensemble of 1,000 simulations, we address both the inverse problem of parameter estimation, and the direct problem of quantifying the uncertainty due to mixing and transport parameters. Our results represent a first attempt at tuning a 3-D climate model by a strictly defined procedure, which nevertheless considers the whole of the appropriate parameter space. Model estimates of meridional overturning and Atlantic heat transport are well reproduced, while errors are reduced only moderately by a doubling of resolution. Model parameters are only weakly constrained by data, while strong correlations between mean error and parameter values are mostly found to be an artefact of single-parameter studies, not indicative of global model behaviour. Single-parameter sensitivity studies can therefore be misleading. Given a single, illustrative scenario of CO2 increase and fixing the polynomial coefficients governing the extremely simple radiation parameterisation, the spread of model predictions for global mean warming due solely to the transport parameters is around one degree after 100years forcing, although in a typical 4,000-year ensemble-member simulation, the peak rate of warming in the deep Pacific occurs 400years after the onset of the forcing. The corresponding uncertainty in Atlantic overturning after 100years is around 5Sv, with a small, but non-negligible, probability of a collapse in the long term Other/Unknown Material Sea ice RERO DOC Digital Library Pacific |
institution |
Open Polar |
collection |
RERO DOC Digital Library |
op_collection_id |
ftreroch |
language |
English |
description |
A simplified climate model is presented which includes a fully 3-D, frictional geostrophic (FG) ocean component but retains an integration efficiency considerably greater than extant climate models with 3-D, primitive-equation ocean representations (20kyears of integration can be completed in about a day on a PC). The model also includes an Energy and Moisture Balance atmosphere and a dynamic and thermodynamic sea-ice model. Using a semi-random ensemble of 1,000 simulations, we address both the inverse problem of parameter estimation, and the direct problem of quantifying the uncertainty due to mixing and transport parameters. Our results represent a first attempt at tuning a 3-D climate model by a strictly defined procedure, which nevertheless considers the whole of the appropriate parameter space. Model estimates of meridional overturning and Atlantic heat transport are well reproduced, while errors are reduced only moderately by a doubling of resolution. Model parameters are only weakly constrained by data, while strong correlations between mean error and parameter values are mostly found to be an artefact of single-parameter studies, not indicative of global model behaviour. Single-parameter sensitivity studies can therefore be misleading. Given a single, illustrative scenario of CO2 increase and fixing the polynomial coefficients governing the extremely simple radiation parameterisation, the spread of model predictions for global mean warming due solely to the transport parameters is around one degree after 100years forcing, although in a typical 4,000-year ensemble-member simulation, the peak rate of warming in the deep Pacific occurs 400years after the onset of the forcing. The corresponding uncertainty in Atlantic overturning after 100years is around 5Sv, with a small, but non-negligible, probability of a collapse in the long term |
author |
Edwards, Neil Marsh, Robert |
spellingShingle |
Edwards, Neil Marsh, Robert Uncertainties due to transport-parameter sensitivity in an efficient 3-D ocean-climate model |
author_facet |
Edwards, Neil Marsh, Robert |
author_sort |
Edwards, Neil |
title |
Uncertainties due to transport-parameter sensitivity in an efficient 3-D ocean-climate model |
title_short |
Uncertainties due to transport-parameter sensitivity in an efficient 3-D ocean-climate model |
title_full |
Uncertainties due to transport-parameter sensitivity in an efficient 3-D ocean-climate model |
title_fullStr |
Uncertainties due to transport-parameter sensitivity in an efficient 3-D ocean-climate model |
title_full_unstemmed |
Uncertainties due to transport-parameter sensitivity in an efficient 3-D ocean-climate model |
title_sort |
uncertainties due to transport-parameter sensitivity in an efficient 3-d ocean-climate model |
publishDate |
2018 |
url |
http://doc.rero.ch/record/312810/files/382_2004_Article_508.pdf |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
http://doc.rero.ch/record/312810/files/382_2004_Article_508.pdf |
_version_ |
1766195497086746624 |