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

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

Feature
Citation
Citation Options
Identification
Title:Main Title: Influence of complex terrain and anthropogenic emissions on atmospheric CO2 patterns - a high-resolution numerical analysis
Description: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:10.1002/qj.3182 (DOI)
Responsible Party
Creators:Markus Übel (Author), Andreas Bott (Author)
Publisher:Wiley
Publication Year:2018
Topic
File Details
Filename:qj3182.pdf
Data Type:Text - Article
File Size:6.3 MB
Date:Accepted: 15.10.2017
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
Volume:144
Number of Pages:14 (34 - 47)
Metadata Details
Metadata Creator:Markus Übel
Metadata Created:21.02.2018
Metadata Last Updated:21.02.2018
Subproject:C4
Funding Phase:3
Metadata Language:English
Metadata Version:V50
Metadata Export
Metadata Schema:
Dataset Statistics
Page Visits:678
Metadata Downloads:0
Dataset Downloads:3
Dataset Activity
Feature