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.

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.

Air pollution and thermal stress are key environmental factors influencing human health. Information on their spatial and temporal dynamics is needed to support comprehensive exposure assessments and regional risk analysis. The dataset offers spatially aggregated bioclimatic and air quality related indicators for all districts in Germany. The datasets integrates information on air pollutat concentrations, the Aggregated Risk INdex (ARI) and the Universal Thermal Climate Index (UTCI). Hourly inputs from CAMS regional air quality analysis and forecast products as well as internally processed WRF simulations are processed in district-level daily means, maxima and minima enabling consistent and comparable characterization of environmental health risk across space and time. The dataset provide an important ressource for public health research and monitoring, climate impact studies, and regional decision-making, supporting improved understanding of how pollution and heat exposure evolve under changing climatic conditions.

This collection contains monthly mean surface PM2.5 concentrations for Germany and parts of the surrounding countries. PM2.5 surface concentrations are derived from Aqua/MODIS and Sentinel-3A/SLSTR AOD data and provided as merged MODIS/SLSTR product. The data is generated by DLR and provided in the framework of the mFUND-Project "S-VELD". The surface PM2.5 data are concentrations with the unit "µg/m3". The satellites Aqua (NASA) and Sentinel-3 (Copernicus) observe Germany on a daily basis. PM2.5 concentrations were derived on a daily basis from the two AOD products separately and combined to a merged MODIS/SLSR surface PM2.5 product. The data within each month are averaged and gridded onto a regular UTM grid. As AOD measurements are strongly depending on cloud conditions, the spatial coverage can be limited, especially in the winter months.

This dataset provides data from various air quality sensors at a floating platform of the Federal Institute of Hydrology at the river bank of the Rhine in Koblenz, Germany. The data was collected as part of the mFUND project "REIN" which investigated the suitability of low-cost sensors for the determination of ship emissions with high spatial and temporal resolution. Measurement data involves various pollutants, including nitrogen oxides (NO, NO2), carbon dioxde (CO2) and particulate matter (particle number concentration, mass concentration, size distribution, ultrafine particles, black carbon concentration). Averaged data is provided at 1 minute and 1 hour temporal resolution and covers both low-cost and standard instruments. The dataset is related to the publication "Applicability of compact low- and mid-cost sensors to monitor air pollutant emissions from in-land ships".