TR32-Database: Database of Transregio 32

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

All available metadata of the dataset are listed below. Some features are available, e.g. download of dataset or additional description file.

Features
Citation
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.
Identification
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
Publisher:Wiley
Topic
TR32 Topic:Atmosphere
Related Sub-project(s):C4, B1
Subject(s):CRC/TR32 Keywords: CO2 Concentration
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
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:2017
Type:Article
Article Type:Journal
Source:Quarterly Journal of the Royal Meteorological Society
Issue:705
Volume:143
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
Subproject:C4
Funding Phase:3
Metadata Language:English
Metadata Version:V41
Dataset Metrics
Page Visits:66
Metadata Downloads:0
Dataset Downloads:3
Dataset Activity
Features