Atmospheric models are an important tool for simulations of transport and transformation of aerosols and gases and thus to improve our knowledge about aerosol particles primary and secondary sources of aerosol particles. Regional air quality models are typically conducted using climatology for the input parameters. However, data from in-situ air quality stations, when assimilated into the models can improve the accuracy of the PM forecasts compared running the models climatology.
The SAMIRA pre-operational PM system is based on the WRF/Chem model integrated with an in-situ PM10 assimilation module, data ingestion, emission preprocessors, visualization modules, meteorological, in-situ and emission databases.
The pre-operational PM system will be run over the EU domain in two configurations: with and without in-situ PM10 data assimilation. The results of the two runs will be compared and the impact of the in-situ data assimilation on the PM forecast accuracy will be evaluated.
The abbreviations in the Fig. 2 stand for:
GDM: External data archive
EGDB: Data retrieval
WEPP: Data pre-processing
ISDI: Data integration
AQMC: Air Quality Model (WRF/Chem)
EMPP: PM10 emission pre-processor
EDAB: PM10 emission database
MOPP: PM10 data post-processing
AQVF: PM10 forecast validation
REDI: Data visualisation
IPDB: In-situ PM10 data archive
IDPR: In-situ PM10 data processing