NMMB/BSC-CTM
Short model description

The NMMB/BSC Chemical Transport Model (NMMB/BSC-CTM), under development at the Earth Sciences Department of BSC-CNS [http://www.http://www.bsc.es/earth-sciences/nmmbbsc-project] , is a fully on-line integrated system for meso- to global scale applications. The meteorological driver is the NCEP/NMMB numerical weather prediction and the chemical mechanism used is the CBM-05.
The model is being configured with the requirements defined in the AQMEII-Phase2 project.

Model configuration

Period: Run one year simulation (2010).
Domain: European simulations: 30W- 60E, 25N-70N
Chemical BC: MACC (IFS-MOZART)
Meteorological BC: GFS
Emissions: TNO-MACC; Biogenics: MEGAN
Horizontal Resolution: 0.2º x 0.2º
Projection: Rotated lat-lon with center in (11º,46º)
Vertical Resolution:
Chemical mechanism: CB05
Aerosols: only dust-ssa

TNO-MACC anthropogenic emissions

Emissions inventories are provided in annual total emissions by source sector per grid cell.
Pre-processes in order to be implemented in the model:
1) NMVOC variable needs to be disaggregate into different NMVOCs for every country and SNAP category (use AQMEII recommendations).
2) A conservative remapping to the atmospheric model grid in vertical and horizontal is needed (using CDO)
3) Vertical resolution need to be disaggregate into different vertical levels (use AQMEII recommendations).
4) Temporal disaggregation following EURODELTA temporal factors for individual SNAP sectors to calculate the hourly data is required.
5) Chemical species need to be adapted to the chemical mechanism implemented in each model (CB05) → moles/(Km2 hour)
6) Aerosols: for NMMB/BSC-CTM only sea salt and dust
7) NO fire emissions are incorporated at this simulation

Next pictures show the TNO-MACC emissions input to the NMMB/BSC-CTM model after all the pre-processes for the 1st of July at 12UTC.

emi_compar.png
Preliminary results

Here it is presented preliminary model results of O3 and NO2 compared with observations (EMEP stations) :

stn1.png
stn2.png

Observations:
The model performs very well after the first months of the year. However, we can see a subestimation in some stations during the first months of the year. Mace Head station for example, influenced mainly by boundary conditions, has a subestimation in the beginning of the year.
There is also a NO2 overestimation in some stations.

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