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

This page lists all metadata that was entered for this dataset. You can download the dataset.

Feature
Citation
Citation Options
Identification
Title:Main Title: Mesoscale simulations of atmospheric CO2 variations using a high-resolution model system with process-based CO2 fluxes
Description: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:10.1002/qj.3047 (DOI)
Responsible Party
Creators:Markus Übel (Author), Michael Herbst (Author), Andreas Bott (Author)
Publisher:Wiley
Publication Year:2017
Topic
File Details
Filename:qj3047.pdf
Data Type:Text - Article
File Size:9.4 MB
Date:Accepted: 24.03.2017
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.
Licence:[TR32DB] Data policy agreement
Geographic
Specific Information - Publication
Publication Status:Published
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Source:Quarterly Journal of the Royal Meteorological Society
Issue:705
Volume:143
Number of Pages:17 (1860 - 1876)
Metadata Details
Metadata Creator:Markus Übel
Metadata Created:14.06.2017
Metadata Last Updated:14.06.2017
Subproject:C4
Funding Phase:3
Metadata Language:English
Metadata Version:V50
Metadata Export
Metadata Schema:
Dataset Statistics
Page Visits:658
Metadata Downloads:0
Dataset Downloads:4
Dataset Activity
Feature