Satellite data inclusion and kernel based potential improvements in NO2 mapping

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F18%3AN0000151" target="_blank" >RIV/00020699:_____/18:N0000151 - isvavai.cz</a>

Result on the web

<a href="https://acm.eionet.europa.eu/reports/ETCACM_TP_2017_14_Improved_AQ_NO2mapping" target="_blank" >https://acm.eionet.europa.eu/reports/ETCACM_TP_2017_14_Improved_AQ_NO2mapping</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Satellite data inclusion and kernel based potential improvements in NO2 mapping

Original language description

Air quality mapping is aimed to provide the most complete European spatial information about the air quality as possible. Among air pollutants nitrogen dioxide (NO2) is of main relevance, together with PM and ozone, due to the negative health impacts of these pollutants. While annual European-wide maps for PM and ozone have been produced regularly for many years under ETC/ACM, NO2 maps have been added to the set of regular maps just recently. In this paper, potential improvements of NO2 maps using the ETC/ACM ‘regression — interpolation — merging’ mapping methodology are examined using two new data sources. The first is the inclusion of satellite data. The second s data output from a model using the so called ‘ QUARK kernel method’. The paper concludes that the inclusion of the satellite data improves the NO2 mapping. This applies to OMI based satellite data product OMNO2d. It is recommends to implement satellite data in the routine mapping methodology: when TROPOMI satellite NO2 data will be routinely produced, it will be a candidate for the use in routine mapping, thanks to its increased resolution. Next to this, the paper examines the use of the model output from the QUARK kernel based downscaling method. For doing this, it compares the use of the ‘CHIMERE-SHERPA’ model output (original resolution 7x7 km2) and the ‘CHIMERE-SHERPA with QUARK applied’ model output (original resolution 125 x 125 m2, aggregated into the default resolution of 1x1 km2) in the mapping. Additionally, the paper discusses a potential alternative coupling of the QUARK kernel method with the ETC/ACM mapping methodology. This method is not directly in line with the current mapping methodology, however it would allow for traffic scenario calculations. Next to this, the paper discusses a potential refinement of the map resolution and suggests several approaches for such a refinement.

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

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OECD FORD branch

10509 - Meteorology and atmospheric sciences

Project

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Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů