Modelled global N deposition fields (TM5-FASST) from natural, anthropogenic and large scale biomass burning emissions as a total of wet and dry deposition for 2010, with projections for best and worst case scenarios in 2030 and 2050

Data were obtained with the reduced-form source receptor model TM5-FASST (Van Dingenen et al., 2018, DOI: 10.5194/acp-18-16173-2018 ). This model bypasses expensive chemical and physical process modelling by using grid-wise linear extrapolations of pre-computed emission-deposition sensitivities. The computation of the sensitivities was performed with the global chemistry-transport model TM5 (Krol et al., 2005; DOI: 10.5194/acp-5-417-2005), using RCP emissions of year 2000 and meteorology of year 2001. The reduced-form approach, building on linearized responses, strongly improves computation speed however at the cost of accuracy. For instance, output does not take into account specific meteorology for the year 2010, and does not include non-linear responses to changing chemistry regimes between 2000 and 2010/2030/2050. Therefore the data have to be considered as indicative and should be interpreted at regional scale, not at the individual grid cell level. Deposition from natural emissions (as of year 2000) are included in the total, but do not change between emission scenarios, therefore they are eliminated when making the difference between scenarios. Large scale fire emissions are taken from CMIP6 for the year 2010 (historical data), and CMIP6 SSP2-RCP4.5 for years 2030 and 2050 projections (Van Marle et al., 2017, DOI: 10.5194/gmd-10-3329-2017; Feng et al., 2020, DOI: 10.5194/gmd-13-461-2020).