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  Evaluation of the coupled high-resolution atmospheric chemistry model system MECO(n) using in situ and MAX-DOAS NO2 measurements

Kumar, V., Remmers, J., Beirle, S., Fallmann, J., Kerkweg, A., Lelieveld, J., et al. (2021). Evaluation of the coupled high-resolution atmospheric chemistry model system MECO(n) using in situ and MAX-DOAS NO2 measurements. Atmospheric Measurement Techniques Discussions, 14. doi:10.5194/amt-2021-23.

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Kumar, Vinod1, Author           
Remmers, Julia1, Author           
Beirle, Steffen1, Author           
Fallmann, Joachim, Author
Kerkweg, Astrid, Author
Lelieveld, Jos2, Author           
Mertens, Mariano, Author
Pozzer, Andrea2, Author           
Steil, Benedikt2, Author           
Wagner, Thomas1, Author           
1Satellite Remote Sensing, Max Planck Institute for Chemistry, Max Planck Society, ou_1826293              
2Atmospheric Chemistry, Max Planck Institute for Chemistry, Max Planck Society, ou_1826285              


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 Abstract: present high spatial resolution (up to 2.2 × 2.2 km2 simulations focussed over south-west Germany using the online coupled regional atmospheric chemistry model system MECO(n). Numerical simulation of nitrogen dioxide (NO2) surface volume mixing ratios (VMR) are compared to in situ measurements from a network with 193 locations including background, traffic-adjacent and industrial stations to investigate the model's performance in simulating the spatial and temporal variability of short-lived chemical species. We show that the use of a high-resolution and up-to-date emission inventory is crucial for reproducing the spatial variability, and resulted in good agreement with the measured VMRs at the background and industrial locations with an overall bias of less than 10 %. We introduce a computationally efficient approach that simulates diurnal and daily variability in monthly resolved anthropogenic emissions to resolve the temporal variability of NO2.

MAX-DOAS measurements performed at Mainz (49.99° N, 8.23° E) were used to evaluate the simulated tropospheric vertical column densities (VCD) of NO2. We propose a consistent and robust approach to evaluate the vertical distribution of NO2 in the boundary layer by comparing the individual differential slant column densities (dSCDs) at various elevation angles. This approach considers details of the spatial heterogeneity and sensitivity volume of the MAX-DOAS measurements while comparing the measured and simulated dSCDs. The effects of clouds on the agreement between MAX-DOAS measurements and simulations have also been investigated. For low elevation angles ≤ 8°), small biases in the range of −14 to +7 % and Pearson correlation coefficients in the range of 0.5 to 0.8 were achieved for different azimuth directions in the cloud-free cases indicating good model performance in the layers close to the surface. Accounting for diurnal and daily variability in the monthly resolved anthropogenic emissions was found to be crucial for the accurate representation of time series of measured NO2 VMR and dSCDs and is particularly critical when the atmospheric lifetime of NO2 is relatively long.


Language(s): eng - English
 Dates: 2021-02-11
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.5194/amt-2021-23
 Degree: -



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Title: Atmospheric Measurement Techniques Discussions
  Other : Atmos. Meas. Tech. Discuss.
  Abbreviation : AMTD
Source Genre: Journal
Publ. Info: Katlenburg-Lindau : Copernicus
Pages: 40 Volume / Issue: 14 Sequence Number: - Start / End Page: - Identifier: ISSN: 1867-8610
CoNE: https://pure.mpg.de/cone/journals/resource/1867-8610