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.
Examples:
CO2 emissions 2018: https://maps.helcom.fi/website/mapservice/?datasetID=shipping285
CO2 emissions 2050 Scenario 3: https://maps.helcom.fi/website/mapservice/?datasetID=shipping284
CO2 emissions 2050 Scenario 8: https://maps.helcom.fi/website/mapservice/?datasetID=shipping283
PM25 emissions 2018: https://maps.helcom.fi/website/mapservice/?datasetID=shipping295
PM25 emissions 2050 Scenario 3: https://maps.helcom.fi/website/mapservice/?datasetID=shipping296
PM25 emissions 2050 Scenario 8: https://maps.helcom.fi/website/mapservice/?datasetID=shipping297