The Danish Lagrangian Model (DALM): Development of a new local-scale high-resolution air pollution model

Andersen, Christopher; Ketzel, Matthias; Hertel, Ole; Christensen, Jesper H.; Brandt, Jørgen

doi:10.1016/j.envsoft.2024.106010

Environmental Modelling & Software

2024

DOI: 10.1016/j.envsoft.2024.106010

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The Danish Lagrangian Model (DALM): Development of a new local-scale high-resolution air pollution model

Christopher Andersen,

Matthias Ketzel,

Ole Hertel

et al.

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2024

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Cited by 2 publications

References 89 publications

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PM2.5 concentration prediction system combining fuzzy information granulation and multi-model ensemble learning

Chen,

Wang,

et al. 2024

Journal of Environmental Sciences

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PM2.5 concentration prediction system combining fuzzy information granulation and multi-model ensemble learning

Chen,

Wang,

et al. 2024

Journal of Environmental Sciences

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Radiocarbon as a tracer of the fossil fraction of regional carbon monoxide emissions

Blyth,

Graven,

Manning

et al. 2024

Environ. Res. Lett.

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Carbon monoxide (CO) is an atmospheric pollutant with a positive net warming effect on the climate. The magnitude of CO sources and the fraction of fossil vs biogenic sources are still uncertain and vary across emissions inventories. Measurements of radiocarbon (14C) in CO could potentially be used to investigate the sources of CO on a regional scale because fossil sources lack 14C and reduce the 14C/C ratio (Δ14C) of atmospheric CO more than biogenic sources. We use regional Lagrangian model simulations to investigate the utility of Δ14CO measurements for estimating the fossil fraction of CO emissions and evaluating bottom-up emissions estimates (United Kingdom Greenhouse Gas, UKGHG, and TNO Copernicus Atmosphere Monitoring Service, TNO) in London, UK. Due to the high Δ14CO in atmospheric CO from cosmogenic production, both fossil and biogenic CO emissions cause large reductions in Δ14CO regionally, with larger reductions for fossil than biogenic CO per ppb added. There is a strong seasonal variation in Δ14CO in background air and in the sensitivity of Δ14CO to fossil and biogenic emissions of CO. In the UK, the CO emissions estimate from TNO has a higher fraction from fossil fuels than UKGHG (72\% vs 67\%). This results in larger simulated decreases in Δ14C per ppb CO for TNO emissions. The simulated differences between UKGHG and TNO are likely to be easily detectable by current measurement precision, suggesting that Δ14CO measurements could be an effective tool to understand regional CO sources and assess bottom-up emissions estimates.

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The Danish Lagrangian Model (DALM): Development of a new local-scale high-resolution air pollution model

Cited by 2 publications

References 89 publications

PM2.5 concentration prediction system combining fuzzy information granulation and multi-model ensemble learning

PM2.5 concentration prediction system combining fuzzy information granulation and multi-model ensemble learning

Radiocarbon as a tracer of the fossil fraction of regional carbon monoxide emissions

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