2021
DOI: 10.5194/acp-2021-400
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Exploring the sensitivity of atmospheric nitrate concentrations to nitric acid uptake rate using the Met Office's Unified Model

Abstract: Abstract. Ammonium nitrate is a major aerosol constituent over many land regions and contributes to air pollution episodes, ecosystem destruction, regional haze, and aerosol-induced climate forcing. Many climate models that represent ammonium nitrate assume that the ammonium-sulphate-nitrate chemistry reaches thermodynamic equilibrium instantaneously without considering kinetic limitations on condensation rates. The Met Office's Unified Model (UM) is employed to investigate the sensitivity of ammonium nitrate … Show more

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Cited by 4 publications
(4 citation statements)
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References 61 publications
(106 reference statements)
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“…Mapping the binned emissions to the UKCAmode dust scheme requires a degree of pragmatism and trial and error. In previous test bed simulations, an optimal mapping emerged, wherein Bin 2 + 1/2 Bin 3 was emitted to the accumulation mode, while 1/2 Bin 3 + Bin 4 + Bin 5 were emitted to the coarse mode (Jones et al, 2021). This mapping is subject to change given ongoing improvements to the dust scheme.…”
Section: Ukca-mode Dust and Dust Emissions Schemementioning
confidence: 99%
See 1 more Smart Citation
“…Mapping the binned emissions to the UKCAmode dust scheme requires a degree of pragmatism and trial and error. In previous test bed simulations, an optimal mapping emerged, wherein Bin 2 + 1/2 Bin 3 was emitted to the accumulation mode, while 1/2 Bin 3 + Bin 4 + Bin 5 were emitted to the coarse mode (Jones et al, 2021). This mapping is subject to change given ongoing improvements to the dust scheme.…”
Section: Ukca-mode Dust and Dust Emissions Schemementioning
confidence: 99%
“…To answer the KQs, 20-year integrations are performed with the Met Office's Unified Model (UM) in a climate configuration, where the sole variable is the formulation of BCS applied to mineral dust aerosol. The UM represents aerosol using the double-moment Global Model of Aerosol Processes (GLOMAP-mode) model, which is coupled to the United Kingdom Chemistry and Aerosol (UKCA) model in the UM and cumulatively denoted UKCA-mode (Mann et al, 2010;Mulcahy et al, 2018;Jones et al, 2021). Whilst UKCA-mode has in-built functionality to represent mineral dust in two insoluble modes representing accumulation-sized and coarse-sized (diameters of d p ≥ 1 µm) particles, this scheme has never been the default option in the Met Office Global Atmosphere science configuration -which forms the physical atmosphere in the UK's Earth system model -owing to the lack of fidelity between simulations and observations, with UKCA-mode dust exhibiting dust concentrations that are too high away from source regions.…”
Section: Introductionmentioning
confidence: 99%
“…Szopa et al (2021) report that there is a relatively small negative contribution to ERF through formation of nitrate aerosols. Recently, a nitrate scheme was incorporated in UKCA (Jones et al, 2021), and this should be tested in the future to examine the impact of nitrate aerosol from lightning on radiation. Although our model does not include a nitrate aerosol scheme, the LNO x changes would impact aerosol through perturbations to background tropospheric oxidants, for example increases in aerosol abundances due to faster oxidation rates of sulfur to sulfate as LNO x is increased (Murray, 2016).…”
Section: Radiation Schemementioning
confidence: 99%
“…GA7.1's default GLOMAP-mode configuration includes the aerosols sulphate (SO4), black carbon (BC), organic matter (OM), and sea-salt (SS), with species in each mode treated as an internal mixture. Mineral dust is represented in GA7.1 by the CLASSIC 6 bin scheme described by Woodward et al (2001). Aerosol processes in GLOMAP-mode include binary homogeneous SO4 nucleation, mode-merging, cloud processing, condensational uptake of H2SO4 gas and secondary organic vapour from UKCA, and coagulation within and between modes.…”
Section: The Met Office Unified Model (Um)mentioning
confidence: 99%