SAMIRA - Satellite Based Monitoring Intitiative for Regional Air Quality

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F19%3AN0000211" target="_blank" >RIV/00020699:_____/19:N0000211 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

SAMIRA - Satellite Based Monitoring Intitiative for Regional Air Quality

Popis výsledku v původním jazyce

Poster presentation, ESA Living Planet Symposium, Milan, Italy, 13 – 17 May 2019. Nowadays a vast amount of operational satellite-based Earth Observations (EO) products are available, many of which have the potential to be useful for air quality applications. In order to better exploit these data, a three-year ESA funded project Satellite based Monitoring Initiative for Regional Air quality (SAMIRA, project No. ESA ESRIN/4000117393/16/I-NB) was established in 2016. The overall goal of SAMIRA is to improve regional and local air quality monitoring through synergetic use of satellite data, output from chemical transport models and data from in situ air quality monitoring networks. This is a collaborative effort of a team located in four countries (Poland, Romania, The Czech Republic, and Norway), where the capitals, the Gorj county in Romania, and the Silesia region, the border area between Poland and The Czech Republic, periodically suffer from air pollution. We first concentrated on work with historical datasets, which cover the period June to September 2014. For this period WRF-Chem output was generated on a 1 km x 1 km local grid for the particular polluted areas mentioned above and on a 5 km x 5 km European grid for improved PM forecasts using in situ data assimilation. For spring 2019 a Near-Real-Time (NRT) demonstration is planned. A first activity is the further development of an algorithm for the retrieval of aerosol optical depth (AOD) from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI). Visualisation of SEVIRI AOD 15 min maps and their respective uncertainties are shown for the four countries. In a next step particulate matter (PM₂.₅) is derived from SEVIRI AOD using micro-physical properties from GADS/OPAC and mass mixing ratios of aerosol species from WRF-Chem model. Look-up tables (LUT) with extinction efficiencies for a range of possible mixtures of aerosols and different humidity conditions are generated. We show hourly PM₂.₅ maps obtained with this method and present comparisons with in situ air quality station data. Data fusion techniques are employed to utilize satellite products of atmospheric composition for European- and National scale air quality mapping. The additional benefit of satellite-based monitoring over existing monitoring techniques (in situ, models) is tested by combining hourly, daily and annual data using geostatistical methods and demonstrated for nitrogen dioxide (NO₂), sulphur dioxide (SO₂), and AOD/PM for rural and urban areas. Air quality applications, in particular within a city, require very high spatial resolutions, which are not yet available from satellites. In order to address this issue we have developed a spatial downscaling technique for satellite-based air quality products. The method applies a combination of area-to-point kriging and regression and essentially combines a high-resolution but often biased proxy dataset with the coarse-resolution but assumed to be unbiased satellite observations (from Aura/OMI and Sentinel-5/TROPOMI). We summarize the validation efforts for evaluating the quality of the generated products and activities linking to interested users, and the results from the planned NRT demonstration.

Název v anglickém jazyce

SAMIRA - Satellite Based Monitoring Intitiative for Regional Air Quality

Popis výsledku anglicky

Poster presentation, ESA Living Planet Symposium, Milan, Italy, 13 – 17 May 2019. Nowadays a vast amount of operational satellite-based Earth Observations (EO) products are available, many of which have the potential to be useful for air quality applications. In order to better exploit these data, a three-year ESA funded project Satellite based Monitoring Initiative for Regional Air quality (SAMIRA, project No. ESA ESRIN/4000117393/16/I-NB) was established in 2016. The overall goal of SAMIRA is to improve regional and local air quality monitoring through synergetic use of satellite data, output from chemical transport models and data from in situ air quality monitoring networks. This is a collaborative effort of a team located in four countries (Poland, Romania, The Czech Republic, and Norway), where the capitals, the Gorj county in Romania, and the Silesia region, the border area between Poland and The Czech Republic, periodically suffer from air pollution. We first concentrated on work with historical datasets, which cover the period June to September 2014. For this period WRF-Chem output was generated on a 1 km x 1 km local grid for the particular polluted areas mentioned above and on a 5 km x 5 km European grid for improved PM forecasts using in situ data assimilation. For spring 2019 a Near-Real-Time (NRT) demonstration is planned. A first activity is the further development of an algorithm for the retrieval of aerosol optical depth (AOD) from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI). Visualisation of SEVIRI AOD 15 min maps and their respective uncertainties are shown for the four countries. In a next step particulate matter (PM₂.₅) is derived from SEVIRI AOD using micro-physical properties from GADS/OPAC and mass mixing ratios of aerosol species from WRF-Chem model. Look-up tables (LUT) with extinction efficiencies for a range of possible mixtures of aerosols and different humidity conditions are generated. We show hourly PM₂.₅ maps obtained with this method and present comparisons with in situ air quality station data. Data fusion techniques are employed to utilize satellite products of atmospheric composition for European- and National scale air quality mapping. The additional benefit of satellite-based monitoring over existing monitoring techniques (in situ, models) is tested by combining hourly, daily and annual data using geostatistical methods and demonstrated for nitrogen dioxide (NO₂), sulphur dioxide (SO₂), and AOD/PM for rural and urban areas. Air quality applications, in particular within a city, require very high spatial resolutions, which are not yet available from satellites. In order to address this issue we have developed a spatial downscaling technique for satellite-based air quality products. The method applies a combination of area-to-point kriging and regression and essentially combines a high-resolution but often biased proxy dataset with the coarse-resolution but assumed to be unbiased satellite observations (from Aura/OMI and Sentinel-5/TROPOMI). We summarize the validation efforts for evaluating the quality of the generated products and activities linking to interested users, and the results from the planned NRT demonstration.

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

2019

Kód důvěrnosti údajů

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