2020
DOI: 10.1029/2020ms002126
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The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6

Abstract: Earth system models enable a broad range of climate interactions that physical climate models are unable to simulate. However, the extent to which adding Earth system components changes or improves the simulation of the physical climate is not well understood. Here we present a broad multivariate evaluation of the North Atlantic climate system in historical simulations of the UK Earth System Model (UKESM1) performed for CMIP6. In particular, we focus on the mean state and the decadal time scale evolution of im… Show more

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Cited by 8 publications
(3 citation statements)
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References 191 publications
(356 reference statements)
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“…The model N d and trend match those from MODIS very well over the 2003–2014 period, giving confidence in the CMIP6 emissions and the ability of this model to accurately translate emissions into changes in cloud properties, which involves several stages. However, Robson et al (2020) and Grosvenor and Carslaw (2020) show that this model does exhibit biases in N d and its trends in other regions.…”
Section: Overview Of Opportunistic Experimentsmentioning
confidence: 91%
See 1 more Smart Citation
“…The model N d and trend match those from MODIS very well over the 2003–2014 period, giving confidence in the CMIP6 emissions and the ability of this model to accurately translate emissions into changes in cloud properties, which involves several stages. However, Robson et al (2020) and Grosvenor and Carslaw (2020) show that this model does exhibit biases in N d and its trends in other regions.…”
Section: Overview Of Opportunistic Experimentsmentioning
confidence: 91%
“…It is tempting to relate these changes in N d to observed and simulated trends in cloud fraction, LWP, and shortwave fluxes. For example, Robson et al (2020) suggest that the negative upwelling shortwave top-of-atmosphere flux trend in UKESM1 for the wider North Atlantic region is too strong compared to CERES, with the model also displaying a positive bias in upwelling shortwave top of atmosphere fluxes coincident with a cloud fraction that is too high compared to CALIPSO (see also Grosvenor and Carslaw, 2020 ). The overly strong trend may be interpreted as an overly strong cloud response to aerosol.…”
Section: Overview Of Opportunistic Experimentsmentioning
confidence: 99%
“…Model capacity is limited by the lack of simultaneous, high-quality measurements of characterised aerosols necessary for verification and development of model parameterisations [126,157]. There is a need for more robust understanding of aerosol-cloud-radiation feedbacks to allow for decadal-scale regional climate forcing and subsequent feedbacks [158][159][160], which could be facilitated by the integrated monitoring and assessment of atmospheric constituents as proposed here [134].…”
Section: Potential Cross-thematic Benefits Of Integrated Assessment S...mentioning
confidence: 99%