17552 7 95996 2 296064 document 95996 DOI_dataset.zip application/zip 51c299dc30f36a78e71c30917bb06c77 MD5 1853038 2021-11-08 10:19:49 https://pure.iiasa.ac.at/id/eprint/17552/1/DOI_dataset.zip 17552 1 1 application/zip archive en public cc_by_nc_4
DOI_dataset.zip
published archive 353 disk0/00/01/75/52 2021-11-08 10:22:18 2021-11-08 10:22:18 2021-11-08 10:22:18 dataset show 1 Wagner F. 1789 0000-0003-3429-2374 Borken-Kleefeld J. 1888 0000-0002-5465-8559 Kiesewetter G. 8472 0000-0002-9369-9812 Klimont Z. 1473 0000-0003-2630-198X Schöpp W. 1017 0000-0001-5990-423X Amann M. 1136 0000-0002-1963-0972 Implied emission factors in the World Bank’s Carbon Pricing Assessment Tool (CPAT) pub prog_air The implied emission factors in CPAT are based on the GAINS model. The GAINS model methodology is described in (Amann et al., 2011). It is an integrated assessment model of air pollution, and features both an emissions model for various air pollutants and greenhouse gases (relevant here are primary PM2.5, SO2, NOx, NH3 and VOC, as well as CO2, CH4, BC, OC), as well as impact modules (which have not been used in the present exercise). 2020-06 published International Institute for Applied Systems Analysis (IIASA) 10.22022/WAT/06-2020.87 Dataset 321 36 154 159 273 15 public https://iiasa.ac.at/web/home/research/researchPrograms/air/GAINS.html author no info:eu-repo/semantics/other