Using Sentinel-5P Data to Improve Air Quality Maps

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F18%3AN0000157" target="_blank" >RIV/00020699:_____/18:N0000157 - isvavai.cz</a>

Výsledek na webu

<a href="http://atmos2018.esa.int/files/P107_ID217_Doubalova.pdf" target="_blank" >http://atmos2018.esa.int/files/P107_ID217_Doubalova.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Using Sentinel-5P Data to Improve Air Quality Maps

Popis výsledku v původním jazyce

Poster at ATMOS2018 conference. 27 November 2018, Salzburg, Austria. The presented work is a part of the SAMIRA (Satellite based Monitoring Initiative for Regional Air quality) project – an ESA-funded project which aims at improving air quality monitoring in the regions of collaborating countries: Norway, Poland, Romania and the Czech Republic. The fusion of in-situ measurements, outputs from chemical transport models and other supplementary data (altitude, population density, land use etc.) was already tested in previous research and is also used routinely[1]. Within the SAMIRA project, the added value of satellite data was examined. Here we focus on daily maps created with Sentinel-5P/TROPOMI data and compare them with maps created with OMI data and without any satellite data at all. The next step in the project will be to produce the maps on a near real-time basis.

Název v anglickém jazyce

Using Sentinel-5P Data to Improve Air Quality Maps

Popis výsledku anglicky

Poster at ATMOS2018 conference. 27 November 2018, Salzburg, Austria. The presented work is a part of the SAMIRA (Satellite based Monitoring Initiative for Regional Air quality) project – an ESA-funded project which aims at improving air quality monitoring in the regions of collaborating countries: Norway, Poland, Romania and the Czech Republic. The fusion of in-situ measurements, outputs from chemical transport models and other supplementary data (altitude, population density, land use etc.) was already tested in previous research and is also used routinely[1]. Within the SAMIRA project, the added value of satellite data was examined. Here we focus on daily maps created with Sentinel-5P/TROPOMI data and compare them with maps created with OMI data and without any satellite data at all. The next step in the project will be to produce the maps on a near real-time basis.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2018

Kód důvěrnosti údajů

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