This dataset contains deposition of substances resulting from shipping modelled in EMERGE Project (https://emerge-h2020.eu/) by FMI using SILAM model. The model output is annual mean deposition rate in mg/(m2*year) per raster cell. Shipping contribution was calculated from the difference of two model runs, one with shipping emissions, and other one without the shipping contribution. Both dry and wet deposition was taken into account. For nitrogen containing substances, deposition mass is mass of Nitrogen (N) within the substances. For sulphates, deposition mass is mass of Sulphur (S) within the substances. For PM2.5, Cd, Pb deposition mass is total mass of the substance in question. Nitrogen containing substances consists of SILAM model species: NO, NO2, Aerosol nitrates (NH4NO3 and coarse nitrates NO3_c), NH3, HNO3, HONO, N2O5, HNO4 (PNA), Peroxyacetyl nitrate (PAN), C3 and higher peroxyacyl nitrates (PANX), organic nitrates (NTR), (NH4)1.5SO4. Other substances covered in deposition modelling outputs are SO4, PM2.5, Lead and Cadmium. Resolution of the original SILAM dataset is 0.05 x 0.05 degrees in lat-lon coordinate-system (WGS84). For further information on methodology, see e.g. EMERGE reports D5.3 and D5.4 The dataset contains current total annual deposition per grid cell calculated for 2018 and change compared between 2018 and modelled EMERGE Scenarios 3 and 8 for year 2050. Thus, negative raster values in Scenarios 3 or 8 is resulting from decrease of deposition according to SILAM model outputs. Scenario descriptions: 2050 Scenario 3: Scenario 3 is a high-pressure scenario. The maritime transport development is High, there are no further measures to reduce the use of fossil fuels in shipping other than those already decided today, there is High use of scrubbers and high use of SCR. In this scenario there is thus a significant pressure on the environment from scrubber water and also high emissions of NH3 from the use of SCR as well as high emissions of CO2. SECA and NECA are introduced in all European sea areas. 2050 Scenario 8: Scenario 8 is an LNG scenario. High development in ship traffic is assumed, measures are in place to reach the IMO 50% goal, low use of scrubbers, and low use of SCR. This dataset is a collection for raster files outputted from SILAM NetCDF outputs. For 2018 emissions, deposition from shipping per grid cell is used. For 2050, change from 2018 is described in maps. Thus negative values induce reductions in deposition.

This dataset contains shipping emissions modelled in EMERGE Project (https://emerge-h2020.eu/) by FMI using STEAM model. The dataset contains current total annual emissions per grid cell for 2018 and modelled to 2050 with following EMERGE Scenarios: 2050 Scenario 3: Scenario 3 is a high-pressure scenario. The maritime transport development is High, there are no further measures to reduce the use of fossil fuels in shipping other than those already decided today, there is High use of scrubbers and high use of SCR. In this scenario there is thus a significant pressure on the environment from scrubber water and also high emissions of NH3 from the use of SCR as well as high emissions of CO2. SECA and NECA are introduced in all European sea areas. 2050 Scenario 8: Scenario 8 is an LNG scenario. High development in ship traffic is assumed, measures are in place to reach the IMO 50% goal, low use of scrubbers, and low use of SCR. This dataset is a collection for raster files outputted from STEAM NetCDF outputs. Dataset contains air emissions of CO, CO2, CH4, PM2.5, SOx and VOC. Unit of air emissions is kg per raster cell. Air emissions are calculated for 2018 and 2050 Scenarios 3 and 8. Dataset contains discharge volumes of stern tube oil, sewage, sewage nitrogen, open loop scrubber effluets, closed loop scrubber effluents, grey water, bilge water and ballast water. Since Scenarios 3 and 8 do not differ what comes to , Scenario 3 is used. Units of discharge volumes are following: Open loop scrubber effluent; liters Closed loop scrubber effluent; liters Bilge water; liters Grey water; liters Sewage; liters Stern tube oil; liters Ballast water; ton (=1000kg) Sewage Nitrogen; grams Resolution of the rasters is 0.05° x 0.1° For further information on methodology, see: Jalkanen, J. P., A. Brink, J. Kalli, H. Pettersson, J. Kukkonen, and T. Stipa. 2009. A modelling system for the exhaust emissions of marine traffic and its application in the Baltic Sea area. Atmos. Chem. Phys. 9:9209-9223. Jalkanen, J. P., L. Johansson, J. Kukkonen, A. Brink, J. Kalli, and T. Stipa. 2012. Extension of an assessment model of ship traffic exhaust emissions for particulate matter and carbon monoxide. Atmos. Chem. Phys. 12:2641-2659. Johansson, L., J.-P. Jalkanen, and J. Kukkonen. 2017. Global assessment of shipping emissions in 2015 on a high spatial and temporal resolution. Atmospheric Environment 167:403-415.