ORCID Profile
0000-0002-3467-018X
Current Organisation
University of Reading
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Publisher: Copernicus GmbH
Date: 04-03-2021
DOI: 10.5194/EGUSPHERE-EGU21-7685
Abstract: & & Decadal variability in indices of North Atlantic (NA) atmospheric circulation plays a major role in changing climate over western Europe. However, reproducing characteristics of this variability in climate models presents a major challenge. Climate models broadly exhibit weaker-than-observed multi-decadal variability in atmospheric circulation indices. A prominent explanation for this is that model-simulated links between anomalous sea-surface temperatures (SSTs) and atmospheric variability are too weak. The dominant mode of basin-wide NA SST variability is Atlantic multi-decadal variability (AMV), which on multi-decadal timescales is expressed more strongly over the NA sub-polar gyre (SPG). SSTs over the SPG region (SST& sub& SPG& /sub& ) are therefore the main focus here.& & & & Studies to date have shown that variability in the North Atlantic Oscillation (NAO) exhibits strongest correlations with AMV indices in late winter, but the reasons for this are not clear. Here we show that this stronger late-winter correlation is particularly clear for SST& sub& SPG& /sub& and coincides with a climatological equatorward shift of the eddy-driven NA westerly jet from early-to-late winter. To help gain dynamical insight, indices of eddy-driven jet latitude (JLI) and speed (JSI) were correlated with SST& sub& SPG& /sub& and it was found that they exhibit more pronounced early-to-late winter shifts in correlations than for the NAO In particular, & correlations strengthen from early-to-late winter for JLI while weaken for JSI. Our results suggest that the jet-SST& sub& SPG& /sub& linkages progress through winter from JSI dominant in early winter to JLI dominant in late winter.& & & & CMIP5 and CMIP6 models were then evaluated for representation of these observed characteristics in ocean-atmosphere linkages. Consistent with the observed sub-seasonal links between climatological jet latitude and atmosphere-ocean correlation strength, CMIP models with larger equatorward jet biases exhibit weaker JSI-SST& sub& SPG& /sub& correlations and stronger JLI-SST& sub& SPG& /sub& correlations. A pronounced early-winter equatorward bias in jet latitude in CMIP models could partially explain the weaker-than observed linkage between SSTs and atmospheric variability. & & &
Publisher: American Geophysical Union (AGU)
Date: 12-2021
DOI: 10.1029/2021EF002249
Abstract: Climate variability in the Pacific has an important influence on climate around the globe. In the period from 1981 to 2012, there was an observed large‐scale cooling in the Pacific. This cooling projected onto the negative phase of the Pacific Decadal Oscillation (PDO) and contributed to a slowdown in the rate of near‐surface temperature warming. However, this cooling pattern is not simulated well by the majority of coupled climate models and its cause is uncertain. We use large multi‐model ensembles from the sixth Climate Model Intercomparison Project, and an ensemble of simulations with HadGEM3‐GC3.1‐LL that is specifically designed to s le the range of uncertainty in historical anthropogenic aerosol forcing, to revisit the role of external forcings. We show that anthropogenic aerosols can drive an atmospheric circulation response via an increase in North Pacific sea level pressure and contribute to a negative PDO during this period in several global climate models. In HadGEM3, this increase in North Pacific sea‐level pressure is associated with an anomalous Rossby Wave train across the North Pacific, which is also seen in observations. Our results provide further evidence that anthropogenic aerosols may have contributed to observed cooling in the Pacific in this period. However, the simulated cooling in response to aerosol forcing is substantially weaker than the warming induced by greenhouse gases, resulting in simulations that are warming faster than observations, and further highlighting the need to understand whether models correctly simulate atmospheric circulation responses.
Publisher: Copernicus GmbH
Date: 15-05-2023
DOI: 10.5194/EGUSPHERE-EGU23-15360
Abstract: Evidence from model simulations has suggested that anthropogenic aerosols may have forced multidecadal variability in a range of North Atlantic variables including sea surface temperatures, ocean circulation, and sea ice. However, many questions remain concerning the importance of anthropogenic aerosols in driving past changes in the North Atlantic climate system. The pathways via which changes in aerosol and aerosol precursor emissions, and oxidant levels, influence climate are complex. They involve both chemical and physical processes, and likely include changes in clouds, radiation, surface temperatures, atmospheric and oceanic circulation, and Arctic sea ice. This complexity is an important factor in the large uncertainty surrounding the role of anthropogenic aerosol in North Atlantic climate change, and was one of the major motivations for the UK& #8217 s North Atlantic Climate System Integrated Study (ACSIS). ACSIS was a multidisciplinary research programme conducted over the period 2016-2022, delivered by a consortium of seven UK institutions. This presentation draws together findings from the programme to provide an overall synthesis of what was learned in ACSIS about the role of anthropogenic aerosol in North Atlantic climate change. Remaining uncertainties, the potential for observational constraints, and opportunities for future work will also be discussed.& ACSIS made extensive use of simulations conducted for CMIP6, particularly historical simulations, and attribution experiments included in AerChemMIP and DAMIP. Additional sensitivity experiments with HadGEM3-GC3.1 and UKESM1 were used to quantify the effects of uncertainty in aerosol forcing in the absence of the additional uncertainty associated with model differences, to decompose the aerosol forcing, and to better illustrate the role of aerosol in recent changes.& As aerosol emissions increased (1850-1985), North Atlantic CDNC increased. Emissions of ozone precursors, and resulting changes in OH, contributed to this trend. This led to downwelling surface shortwave decreases across the North Atlantic, which drove colder surface temperatures, increased sea ice extent, and increased mean sea level pressure. In contrast, the eastern subpolar gyre warmed, likely due to increased ocean heat convergence due to the increase in the AMOC.& As local aerosol emissions fell (1986-2014) much of the reverse occurred. Downwelling surface shortwave increased across the North Atlantic, predominantly over land, driving warmer surface temperatures and reduced sea ice extent. The eastern subpolar gyre cooled. However, the role of aerosol in this later period is less clear due to a dominance of temperature-mediated cloud feedbacks over aerosol forcing, AMOC related feedbacks, and a changing aerosol forcing pattern.
Publisher: American Geophysical Union (AGU)
Date: 06-2020
DOI: 10.1029/2019MS001995
Publisher: IOP Publishing
Date: 30-12-2021
Abstract: Climate model biases in the North Atlantic (NA) low-level tropospheric westerly jet are a major impediment to reliably representing variability of the NA climate system and its wider influence, in particular over western Europe. A major aspect of the biases is the occurrence of a prominent early-winter equatorward jet bias in Coupled Model Inter-comparison Project Phase 5 (CMIP5) models that has implications for NA atmosphere-ocean coupling. Here we assess whether this bias is reduced in the new CMIP6 models and assess implications for model representation of NA atmosphere-ocean linkages, in particular over the sub-polar gyre (SPG) region. Historical simulations from the CMIP5 and CMIP6 model datasets were compared against reanalysis data over the period 1861–2005. The results show that the early-winter equatorward bias remains present in CMIP6 models, although with an approximately one-fifth reduction compared to CMIP5. The equatorward bias is mainly associated with a weaker-than-observed frequency of poleward excursions of the jet to its northern position. A potential explanation is provided through the identification of a strong link between NA jet latitude bias and systematically too-weak model-simulated low-level baroclinicity over eastern North America in early-winter. CMIP models with larger equatorward jet biases exhibit weaker correlations between temporal variability in speed of the jet and sea surface conditions (sea surface temperatures and turbulent heat fluxes) over the SPG. The results imply that the early-winter equatorward bias in jet latitude in CMIP models could partially explain other known biases, such as the weaker-than-observed seasonal-decadal predictability of the NA climate system.
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Jon Robson.