Exploring the sensitivity of atmospheric nitrate concentrations to nitric acid uptake rate using the Met Office's Unified Model
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Published:2021-10-26
Issue:20
Volume:21
Page:15901-15927
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Jones Anthony C.ORCID, Hill Adrian, Remy Samuel, Abraham N. LukeORCID, Dalvi Mohit, Hardacre Catherine, Hewitt Alan J.ORCID, Johnson BenORCID, Mulcahy Jane P.ORCID, Turnock Steven T.ORCID
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–sulfate–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 concentrations
to the nitric acid uptake coefficient (γ) in a newly developed
nitrate scheme in which first-order condensation theory is utilised to limit
the rate at which thermodynamic equilibrium is attained. Two values of
γ representing fast (γ=0.193) and slow (γ=0.001) uptake rates are tested in 20-year global UM integrations. The global burden of nitrate associated with ammonium in the “fast” simulation (0.11 Tg[N]) is twice as great as in the “slow” simulation (0.05 Tg[N]), while the top-of-the-atmosphere radiative impact of representing nitrate is −0.19 W m−2 in the fast simulation and −0.07 W m−2 in the slow simulation. In general, the fast simulation exhibits better spatial
correlation with observed nitrate concentrations, while the slow simulation
better resolves the magnitude of concentrations. Local near-surface nitrate
concentrations are found to be highly correlated with seasonal ammonia
emissions, suggesting that ammonia is the predominant limiting factor
controlling nitrate prevalence. This study highlights the high sensitivity
of ammonium nitrate concentrations to nitric acid uptake rates and provides
a novel mechanism for reducing nitrate concentration biases in climate model
simulations. The new UM nitrate scheme represents a step change in aerosol
modelling capability in the UK across weather and climate timescales.
Funder
Natural Environment Research Council Met Office
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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