European air quality interim mapping under ETC/ATNI

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F21%3AN0000187" target="_blank" >RIV/00020699:_____/21:N0000187 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.5281/zenodo.5564555" target="_blank" >https://doi.org/10.5281/zenodo.5564555</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5281/zenodo.5564555" target="_blank" >10.5281/zenodo.5564555</a>

Jazyk výsledku

angličtina

Název v původním jazyce

European air quality interim mapping under ETC/ATNI

Popis výsledku v původním jazyce

Air quality European-wide annual maps based on the Air Quality (AQ) e-Reporting validated (E1a) measurement data, the EMEP modelling data and other supplementary data have been regularly produced, using the Regression – Interpolation – Merging Mapping (RIMM) methodology. However, due to the time schedule of production of the validated AQ measurement and the EMEP modelling data, the RIMM air quality maps of a year Y have typically not been available until May of year Y+2. In this report, we examine the AQ interim mapping, based on the preliminary (E2a) measurement and the CAMS Ensemble Forecast modelling data. Such interim maps could be prepared one year earlier than the validated maps. In order to overcome an obstacle of data gaps of E2a data in several areas, so-called pseudo stations data in areas with no E2a data are estimated, based on regression relation between E2a data from year Y and validated E1a data from year Y-1, together with the ratio of the modelling results from years Y and Y-1. The analysis have been performed for the PM10 annual average, the NO2 annual average and the ozone indicator SOMO35, based on the 2017 data. We evaluate these maps using the validated E1a data. Based on the results, we recommend the regular production of the interim AQ maps for the examined indicators, in addition to the regular AQ maps.

Název v anglickém jazyce

European air quality interim mapping under ETC/ATNI

Popis výsledku anglicky

Air quality European-wide annual maps based on the Air Quality (AQ) e-Reporting validated (E1a) measurement data, the EMEP modelling data and other supplementary data have been regularly produced, using the Regression – Interpolation – Merging Mapping (RIMM) methodology. However, due to the time schedule of production of the validated AQ measurement and the EMEP modelling data, the RIMM air quality maps of a year Y have typically not been available until May of year Y+2. In this report, we examine the AQ interim mapping, based on the preliminary (E2a) measurement and the CAMS Ensemble Forecast modelling data. Such interim maps could be prepared one year earlier than the validated maps. In order to overcome an obstacle of data gaps of E2a data in several areas, so-called pseudo stations data in areas with no E2a data are estimated, based on regression relation between E2a data from year Y and validated E1a data from year Y-1, together with the ratio of the modelling results from years Y and Y-1. The analysis have been performed for the PM10 annual average, the NO2 annual average and the ozone indicator SOMO35, based on the 2017 data. We evaluate these maps using the validated E1a data. Based on the results, we recommend the regular production of the interim AQ maps for the examined indicators, in addition to the regular AQ maps.

Druh

B - Odborná kniha

CEP obor

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OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2021

Kód důvěrnosti údajů

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

ISBN

978-82-93752-32-5

Počet stran knihy

40

Název nakladatele

ETC/ATNI c/o NILU - Norwegian Institute for Air Research

Místo vydání

Kjeller, Norway

Kód UT WoS knihy

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