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<p>This study presents a fine-scale simulation approach to assess the representativity of ammonia (NH<span class="inline-formula">₃</span>) measurements in the proximity of an emission source. Close proximity to emission sources (<span class="inline-formula">&lt;</span> 5 km) can introduce a bias in regionally representative measurements of the NH<span class="inline-formula">₃</span> molar fraction and flux. Measurement sites should, therefore, be located a significant distance away from emission sources, but these requirements are poorly defined and can be difficult to meet in densely agricultural regions. This study presents a consistent criterion to assess the regional representativity of NH<span class="inline-formula">₃</span> measurements in proximity to an emission source, calculating variables that quantify the NH<span class="inline-formula">₃</span> plume dispersion using a series of numerical experiments at a fine resolution (20 m). Our fine-scale simulation framework with explicitly resolved turbulence enables us to distinguish between the background NH<span class="inline-formula">₃</span> and the emission plume, including realistic representations of NH<span class="inline-formula">₃</span> deposition and chemical gas–aerosol transformations. We introduce the concept of blending distance based on the calculation of turbulent fluctuations to systematically analyze the impact of the emission plume on simulated measurements, relative to this background NH<span class="inline-formula">₃</span>. We perform a suite of systematic numerical experiments for flat homogeneous grasslands, centered around the CESAR Observatory at Cabauw, to analyze the sensitivity of the blending distance, varying meteorological factors, emission/deposition and NH<span class="inline-formula">₃</span> dependences. Considering these sensitivities, we find that NH<span class="inline-formula">₃</span> measurements at this measurement site should be located at a minimum distance of 0.5–3.0 and 0.75–4.5 km from an emission source for NH<span class="inline-formula">₃</span> molar fraction and flux measurements, respectively. The simulation framework presented here can easily be adapted to local conditions, and paves the way for future ammonia research to integrate simulations at high spatio-temporal resolutions with observations of NH<span class="inline-formula">₃</span> concentrations and fluxes.</p>