[1768] - Influence of complex terrain and anthropogenic emissions on atmospheric CO2 patterns - a high-resolution numerical analysis

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Citation
Übel, M., Bott, A., 2018. Influence of complex terrain and anthropogenic emissions on atmospheric CO2 patterns - a high-resolution numerical analysis. Quarterly Journal of the Royal Meteorological Society, 144, 34 - 47. DOI: 10.1002/qj.3182.
Identification
Title(s):Main Title: Influence of complex terrain and anthropogenic emissions on atmospheric CO2 patterns - a high-resolution numerical analysis
Description(s):Abstract: The accuracy of regional or mesoscale carbon budgeting by means of inverse modelling depends strongly on the ability of the atmospheric model to capture relevant atmospheric transport processes. In order to analyze the influence of terrain-induced flow dynamics and intense local anthropogenic emissions, we present high-resolution (forward) simulations of spatio-temporal CO2 variations using a recent biosphere-atmosphere model. The selected region is characterized by complex terrain and both rural and densely populated areas. The results indicate that, in situations with weak synoptic forcing, the nocturnal near-surface CO2 distribution is strongly affected by terrain-induced turbulent kinetic energy (TKE) above mountain ridges and by local convergent downslope winds. By increasing the grid spacing from ≈1 to ≈3 km, we show that, due to the smoothed model topography, the atmospheric flow causing the CO2 heterogeneity cannot be resolved any more. Finally, we quantify the influence of intense anthropogenic CO2 sources on atmospheric CO2 concentrations. A significant anthropogenic signal can be identified around and downstream of industrial and urban areas, especially in the morning but also within a well-mixed planetary boundary layer in the daytime. The results provide valuable information for including non-background CO2 observations inmesoscale inverse modelling studies using coarser resolutions than in this study.
Identifier(s):DOI: 10.1002/qj.3182
Responsible Party
Creator(s):Author: Markus Übel
Author: Andreas Bott
Publisher:Wiley
Topic
TR32 Topic:Atmosphere
Related Sub-project(s):C4
Subject(s):CRC/TR32 Keywords: CO2 Concentration, Air Quality Modelling, Atmospheric Modelling, Coupled Modeling, Inverse Modelling, Turbulent Fluxes, Land-Atmosphere Interaction
File Details
File Name:qj3182.pdf
Data Type:Text
File Size:6452 kB (6.301 MB)
Date(s):Date Accepted: 2017-10-15
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:Free
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Geographic
North:-no map data
East:-
South:-
West:-
Measurement Region:NorthRhine-Westphalia
Measurement Location:--NorthRhine-Westphalia--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2018
Type:Article
Article Type:Journal
Source:Quarterly Journal of the Royal Meteorological Society
Volume:144
Number Of Pages:14
Page Range:34 - 47
Metadata Details
Metadata Creator:Markus Übel
Metadata Created:2018-02-21
Metadata Last Updated:2018-02-21
Subproject:C4
Funding Phase:3
Metadata Language:English
Metadata Version:V42
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