{"refrec":{"BRefID":381000,"RR":"<b>Ek, K.; Lind, J.</b> (2023). So Ms. MS, I’d like to calculate your emissions: Implementing a bottom-up method to calculate spatiotemporal ship emissions to air. Statens Väg- och Transportforskningsinstitut: Linköping. 41 pp.","BEntID":378741,"PublicFlag":1,"CheckedFlag":0,"wosflag":0,"vabbflag":0,"RefStringPartII":". Statens Väg- och Transportforskningsinstitut: Linköping.  41 pp.","DocTypID":13,"DocType":"Reports","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Ek, K.; Lind, J.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Ek, K.; Lind, J.","Englishabstract":"<span style=\"background-color:rgb(255,255,255);color:rgb(0,0,0);\">This memorandum presents a model based on the International Maritime Organization (IMO) study Fourth Greenhouse Gas Study 2020. Using this model, one may estimate spatiotemporal emissions (as well as fuel and energy consumption) for individual ships. We utilize automatic identification system (AIS) data provided by the Baltic Marine Environment Protection Commission (HELCOM) and data on ship characteristics from a custom sample from IHS Markit’s commercial vessel database. The sample is covering ships that made calls at Swedish ports and were required to pay fairway dues between 2008–2020. We present emission estimates including carbon dioxide (CO2), sulphur oxides (SOx), Nitrogen oxides (NOx), particular matter (PM10 and PM2.5), methane (CH4), carbon monoxide (CO), nitrous oxide (N2O) and non-methane volatile organic compounds (NMVOC). The emissions originate from commercial shipping in 2019 for two geographical areas: Swedish territory and a larger region including Sweden and the Baltic Sea. However, it is worth noting that this is work in progress and presented numbers and estimations are likely to have already been improved and changed at the time of publication. 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