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Describe the methodology to define and calculate the Model Quality Objective (MQO) and Model Performance Indicators (MPI). The MPI (bias, correlation, standard deviation) together with the MQO constitute the Benchmarking report. In the frame of this methodology, fulfilment of the MQO is essential whereas fulfilment of the MPI is not (the latter are provided as support information). Flexibility is left to select the appropriate tool to apply the methodology. The Air Quality Directive identifies different potential uses for modelling: assessment, planning, forecast and source apportionment. The scope of the MQO and MPC is here restricted to assessment purposes in the context of the Air Quality Directive. Pollutants covered PM2.5, PM10, NO2, O3. Concentration range (in principle no limits, model/situation specific). Time average (pollutant specific), scale (regional, urban, street), methodology restrictions (pollutants concerned).
Reģistrācijas numurs (WIID)
60841
Darbības sfēra
Describe the methodology to define and calculate the Model Quality Objective (MQO) and Model Performance Indicators (MPI). The MPI (bias, correlation, standard deviation) together with the MQO constitute the Benchmarking report. In the frame of this methodology, fulfilment of the MQO is essential whereas fulfilment of the MPI is not (the latter are provided as support information). Flexibility is left to select the appropriate tool to apply the methodology. The Air Quality Directive identifies different potential uses for modelling: assessment, planning, forecast and source apportionment. The scope of the MQO and MPC is here restricted to assessment purposes in the context of the Air Quality Directive. Pollutants covered PM2.5, PM10, NO2, O3. Concentration range (in principle no limits, model/situation specific). Time average (pollutant specific), scale (regional, urban, street), methodology restrictions (pollutants concerned).
