{"id":116337,"date":"2026-09-11T15:11:18","date_gmt":"2026-09-11T13:11:18","guid":{"rendered":"https:\/\/nilu.gnist.dev\/publikasjoner\/source-quantification-of-south-asian-black-carbon-aerosols-with-isotopes-and-modeling\/"},"modified":"2026-09-11T15:11:18","modified_gmt":"2026-09-11T13:11:18","slug":"source-quantification-of-south-asian-black-carbon-aerosols-with-isotopes-and-modeling","status":"publish","type":"nva_publication","link":"https:\/\/nilu.gnist.dev\/en\/publications\/source-quantification-of-south-asian-black-carbon-aerosols-with-isotopes-and-modeling\/","title":{"rendered":"Source Quantification of South Asian Black Carbon Aerosols with Isotopes and Modeling"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Black carbon (BC) aerosols perturb climate and impoverish air quality\/human health\u2014affecting \u223c1.5 billion people in South Asia. However, the lack of source-diagnostic observations of BC is hindering the evaluation of uncertain bottom-up emission inventories (EIs) and thereby also models\/policies. Here, we present dual-isotope-based (\u039414C\/\u03b413C) fingerprinting of wintertime BC at two receptor sites of the continental outflow. Our results show a remarkable similarity in contributions of biomass and fossil combustion, both from the site capturing the highly populated highly polluted Indo-Gangetic Plain footprint (IGP; \u039414C-fbiomass = 50 \u00b1 3%) and the second site in the N. Indian Ocean representing a wider South Asian footprint (52 \u00b1 6%). Yet, both sites reflect distinct \u03b413C-fingerprints, indicating a distinguishable contribution of C4-biomass burning from peninsular India (PI). Tailored-model-predicted season-averaged BC concentrations (700 \u00b1 440 ng m\u20133) match observations (740 \u00b1 250 ng m\u20133), however, unveiling a systematically increasing model-observation bias (+19% to \u221253%) through winter. Inclusion of BC from open burning alone does not reconcile predictions (fbiomass = 44 \u00b1 8%) with observations. Direct source-segregated comparison reveals regional offsets in anthropogenic emission fluxes in EIs, overestimated fossil-BC in the IGP, and underestimated biomass-BC in PI, which contributes to the model-observation bias. This ground-truthing pinpoints uncertainties in BC emission sources, which benefit both climate\/air-quality modeling and mitigation policies in South Asia.<\/p>\n","protected":false},"template":"","meta":{"_acf_changed":false,"_searchwp_excluded":"","_id":"","_status":"PUBLISHED","_sync_date":"2026-09-11 14:12:32","footnotes":""},"nva_tax_category":[1099],"class_list":["post-116337","nva_publication","type-nva_publication","status-publish","hentry","nva_tax_category-scientific-journal-publication"],"acf":[],"_links":{"self":[{"href":"https:\/\/nilu.gnist.dev\/en\/wp-json\/wp\/v2\/nva_publication\/116337","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nilu.gnist.dev\/en\/wp-json\/wp\/v2\/nva_publication"}],"about":[{"href":"https:\/\/nilu.gnist.dev\/en\/wp-json\/wp\/v2\/types\/nva_publication"}],"version-history":[{"count":0,"href":"https:\/\/nilu.gnist.dev\/en\/wp-json\/wp\/v2\/nva_publication\/116337\/revisions"}],"wp:attachment":[{"href":"https:\/\/nilu.gnist.dev\/en\/wp-json\/wp\/v2\/media?parent=116337"}],"wp:term":[{"taxonomy":"nva_tax_category","embeddable":true,"href":"https:\/\/nilu.gnist.dev\/en\/wp-json\/wp\/v2\/nva_tax_category?post=116337"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}