English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Evaluation of EU air quality standards through modeling and the FAIRMODE benchmarking methodology

Kushta, J., Georgiou, G. K., Proestos, Y., Christoudias, T., Thunis, P., Savvides, C., et al. (2019). Evaluation of EU air quality standards through modeling and the FAIRMODE benchmarking methodology. Air Quality, Atmosphere & Health, 12(1), 73-86. doi:10.1007/s11869-018-0631-z.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Kushta, Jonilda1, Author
Georgiou, Georgios K.1, Author
Proestos, Yiannis1, Author
Christoudias, Theodoros1, Author
Thunis, Philippe1, Author
Savvides, Chrysanthos1, Author
Papadopoulos, Christos1, Author
Lelieveld, Jos2, Author           
Affiliations:
1external, ou_persistent22              
2Atmospheric Chemistry, Max Planck Institute for Chemistry, Max Planck Society, ou_1826285              

Content

show
hide
Free keywords: -
 Abstract: We evaluate air quality modeling over the East Mediterranean using the benchmarking methodology developed in the framework of the Forum for Air Quality Modelling in Europe (FAIRMODE). FAIRMODE aims to provide a harmonized approach of model evaluation for regulatory purposes. We test the methodology by assessing the performance of the Weather Research and Forecasting model coupled with chemistry (WRF-Chem) against ground-based air quality observations over Cyprus, a member state of the European Union. Two nested domains are used (at 50- and 10-km horizontal grid spacing) with the comparison performed over the innermost domain. We consider performance indicators reflecting regulations for air quality standards (maximum daily 8-hourly mean ozone, hourly nitrogen dioxide, and daily fine particulate matter concentrations). The WRF-Chem model is found to satisfy the proposed performance objectives regarding ozone and NO2, though it underestimates the latter in urban areas possibly due to uncertainties in emission inventories. Fine particulate matter is well represented by the model, except on days with strong influence from natural sources, highlighting the necessity for fine-tuning dust mobilization and transport in the region. The objectives are fulfilled even though discrepancies exist between model and observations. Our results indicate the need for more stringent performance criteria at relatively low concentrations. Overall, we find that the methodology provides in-depth information and relevant statistical metrics to guide air quality and model assessments for monitoring compliance with the EU Air Quality Directives and other guidelines to limit the impact of air pollution on human health and ecosystems.

Details

show
hide
Language(s): eng - English
 Dates: 2019
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: 000455322800007
DOI: 10.1007/s11869-018-0631-z
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Air Quality, Atmosphere & Health
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Dordrecht : Springer Netherlands
Pages: - Volume / Issue: 12 (1) Sequence Number: - Start / End Page: 73 - 86 Identifier: ISSN: 1873-9318
CoNE: https://pure.mpg.de/cone/journals/resource/1873-9318