The concentrations and deposition of atmospheric constituents such as air pollutants were modeled with the Community Multiscale Air Quality (CMAQ) Model system for the year 2008. A focus was on sea salt emissions, atmospheric sea salt concentrations and the interaction between sea salt particles and atmospheric nitrogen compounds. For this purpose, two model runs with different realistic sea salt emission parameterizations were performed and are provided here. The model run CMAQ_CD24_seasalt_base uses the default sea salt emission parameterization of CMAQ denoted as GO03. The model run CMAQ_CD24_seasalt_ov14 uses an alternative sea salt emission parameterization denoted as OV14. Please refer to the connected references for information on the two sea salt emission parameterizations and their implementation.
The dataset also contains meteorological input parameters in order to allow the user to perform unit conversions for some model variables. Additionally, the land-sea mask and land fraction data per model grid cell are provided.
The projection is a Lambert Conformal Conic projection. The parameters are given in the netCDF files.
Neumann, Daniel; Matthias, Volker; Bieser, Johannes; Aulinger, Armin (2017). Concentrations of gaseous pollutants and particulate compounds over Northwestern Europe and nitrogen deposition into the North and Baltic Sea in 2008. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.1594/WDCC/CMAQ_CCLM_HZG_2008
Model: CMAQ v5.0.1, cb05tucl gas phase chemistry and aero5 aerosol chemistry (https://www.airqualitymodeling.org/index.php/CMAQ). Primary model domain: rectangular grid of 24x24 km2 resolution (Lambert Conformal Conic projection). Enclosed by coarse model domain: 72x72 km2, one-way nested, outer boundary conditions from global TM5 model runs. Initialization: standard initial condition profile and spin up for 10 days. Land based emissions: SMOKE for Europe (Bieser et al., 2011, doi: 10.5194/gmd-4-47-2011). Ship emissions: AIS data, Aulinger et al. (2016, doi:10.5194/acp-16-739-2016). Salt emissions: GO03 (base) and OV14 (ov14) parameterizations (details: Neumannd et al., 2016b, doi:10.5194/acp-16-9905-2016). Meteorological data: COSMO-CLM v4.8, 0.22°x0.22° rotated grid, converted by modified CMAQ Meteorology-Chemistry Interface Processor (MCIP).
Both considered sea salt emission parameterizations are considered to represent sea salt emissions sufficiently well. Model results were validated with EMEP data (Neumann et al., 2016b, doi:10.5194/acp-16-9905-2016). The modeled nitrogen deposition into the ocean is by up to a factor of 2 lower than in other recent publications (Neumann el a., 2016a, doi:10.5194/acp-16-2921-2016). However, the other studies dealt with other years.
Atmospheric pollutants (NOx, SO2, O3, NH3, NO3-, SO4--) of CMAQ Model runs based on a very similar model setup (same year, same emissions except for sea salt) were validated by Aulinger et al. (2016, doi:10.5194/acp-16-739-2016) and Backes et al. (2016, doi: 10.1016/j.atmosenv.2016.01.041). The model setups slightly differed with respect to the input data for the sea salt emissions. Backes et al. (2016) found weaknesses in the current emission setup for agricultural NH3 emissions.
Time covered: The model data covers the months January to March, June to September and December of the year 2008. The month April to Mai and October t...
Time covered: The model data covers the months January to March, June to September and December of the year 2008. The month April to Mai and October to November are missing.
• base: Jan - Mar 2008; Jun - Sept 2008; Dec 2008
• ov14: Jan - Mar 2008; Jul - Sept 2008
Spatial extend: Although CMAQ is a 3D model, only the bottom layer data are provided. The horizontal domain covers central Europe including the North Sea and Baltic Sea.
Meteorological parameters necessary to convert the units of some model variables are included in this data set.
F-UJI result: total 66 %
Summary: Findable: 6 of 7 level; Accessible: 2 of 3 level; Interoperable: 3 of 4 level; Reusable: 5 of 10 level
Model evaluation with EMEP measurement data indicate that the most air quality background stations (if not located at unfavorable locations such as hi...
Model evaluation with EMEP measurement data indicate that the most air quality background stations (if not located at unfavorable locations such as hills) are sufficiently well represented in the chosen model setup.
Model evaluations with grid sizes of 16x16 km2 and 4x4 km2 resolution indicate that refining the model resolution does not yield considerable improvements at most stations. However, coastal stations might benefit from a finer resolved model grid due to a more detailed representation of the coast line.
Scientific Quality Assurance (SQA)
SQA - Scientific Quality Assurance 'approved by author'
Technical Quality Assurance (TQA)
TQA - Technical Quality Assurance 'approved by WDCC'
1. Number of data sets is correct and > 0: passed; 2. Size of every data set is > 0: passed; 3. The data sets and corresponding metadata are accessible: passed; 4. The data sizes are controlled and correct: passed; 5. The temporal coverage description (metadata) is consistent to the data: passed; 6. The format is correct: passed; 7. Variable description and data are consistent: passed
Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1