[1673] - Mesoscale simulations of atmospheric CO2 variations using a high-resolution model system with process-based CO2 fluxes

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Übel, M., Herbst, M., Bott, A., 2017. Mesoscale simulations of atmospheric CO2 variations using a high-resolution model system with process-based CO2 fluxes. Quarterly Journal of the Royal Meteorological Society, 143 (705), 1860 - 1876. DOI: 10.1002/qj.3047.
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Title(s):Main Title: Mesoscale simulations of atmospheric CO2 variations using a high-resolution model system with process-based CO2 fluxes
Description(s):Abstract: A new coupled high-resolution biosphere–atmosphere model (TerrSysMP-CO2) is applied to simulate mesoscale and diurnal variations of atmospheric CO2 mixing ratios. The model is characterized by process-based parametrization calculating atmospheric dynamics and biogenic processes considering the prognostically varying CO2 content at the surface. An advanced parametrization of soil respiration is used distinguishing between heterotrophic and autotrophic respiration and explicitly considering the effect of varying soil moisture. In addition to biogenic CO2 fluxes, high-resolution anthropogenic emissions are included in the simulations. The model performance is verified with eddy-covariance fluxes and meteorological and CO2 concentration measurements at various heights of a tower. It is found that a correct representation of turbulent mixing is most critical for a precise prediction of near- surface CO2 mixing ratios and respective vertical gradients. High-resolution simulations were performed for a region with complex terrain, heterogeneous land use and densely populated areas. The relative influence of diverse land use, orography as well as of synoptic and mesoscale transport on the spatio-temporal CO2 distribution is analyzed. The results indicate that, in regions with hilly terrain at night and in the morning, the CO2 patterns are strongly influenced by terrain-induced local circulations. Moreover, in densely populated regions, fossil fuel emissions are an important source of atmospheric CO2. Finally, the simulated canopy fluxes and atmospheric conditions, calculated using two different crop physiological parameter sets, are compared.
Identifier(s):DOI: 10.1002/qj.3047
Responsible Party
Creator(s):Author: Markus Übel
Author: Michael Herbst
Author: Andreas Bott
TR32 Topic:Atmosphere
Related Sub-project(s):C4, B1
Subject(s):CRC/TR32 Keywords: CO2 Concentration, Atmospheric Modelling, Canopy Photosynthesis, CO2 Flux, Coupled Modeling, Ecosystem Respiration, Heterotrophic Respiration, Land-Atmosphere Interaction, NEE, Photosynthesis, Soil Respiration
File Details
File Name:qj3047.pdf
Data Type:Text
File Size:9648 kB (9.422 MB)
Date(s):Date Accepted: 2017-03-24
Mime Type:application/pdf
Data Format:PDF
Download Permission:Free
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:TR32DB Data policy agreement
North:-no map data
Measurement Region:NorthRhine-Westphalia
Measurement Location:--NorthRhine-Westphalia--
Specific Informations - Publication
Article Type:Journal
Source:Quarterly Journal of the Royal Meteorological Society
Number Of Pages:17
Page Range:1860 - 1876
Metadata Details
Metadata Creator:Markus Übel
Metadata Created:2017-06-14
Metadata Last Updated:2017-06-20
Funding Phase:3
Metadata Language:English
Metadata Version:V41
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