Journal of Geophysical Research Atmospheres · 2022 · 28 citations · 112 references
Natural SciencesEarth SciencesEnvironmental SciencesAtmospheric ChemistryAtmospheric ScienceClimatologyNitrogen CycleRegional ClimatologyAmmonia EmissionsAnthropogenic Emission EstimationAnthropogenic EmissionsInverse Modeling Of FluxesRegional Source ContributionsRemote Sensing Of Surface FluxesSatellite-based Emissions EstimationWet Deposition
Abstract We conduct the first 4D‐Var inversion of NH 3 accounting for NH 3 bi‐directional flux, using CrIS satellite NH 3 observations over Europe in 2016. We find posterior NH 3 emissions peak more in springtime than prior emissions at continental to national scales, and annually they are generally smaller than the prior emissions over central Europe, but larger over most of the rest of Europe. Annual posterior anthropogenic NH 3 emissions for 25 European Union members (EU25) are 25% higher than the prior emissions and very close (<2% difference) to other inventories. Our posterior annual anthropogenic emissions for EU25, the UK, the Netherlands, and Switzerland are generally 10%–20% smaller than when treating NH 3 fluxes as uni‐directional emissions, while the monthly regional difference can be up to 34% (Switzerland in July). Compared to monthly mean in‐situ observations, our posterior NH 3 emissions from both schemes generally improve the magnitude and seasonality of simulated surface NH 3 and bulk NH x wet deposition throughout most of Europe, whereas evaluation against hourly measurements at a background site shows the bi‐directional scheme better captures observed diurnal variability of surface NH 3 . This contrast highlights the need for accurately simulating diurnal variability of NH 3 in assimilation of sun‐synchronous observations and also the potential value of future geostationary satellite observations. Overall, our top‐down ammonia emissions can help to examine the effectiveness of air pollution control policies to facilitate future air pollution management, as well as helping us understand the uncertainty in top‐down NH 3 emissions estimates associated with treatment of NH 3 surface exchange.
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Natural Sciences, Earth Sciences, Environmental Sciences +15