{"id":428492,"date":"2026-04-10T00:26:26","date_gmt":"2026-04-10T00:26:26","guid":{"rendered":"https:\/\/www.europesays.com\/ie\/428492\/"},"modified":"2026-04-10T00:26:26","modified_gmt":"2026-04-10T00:26:26","slug":"atmospheric-black-carbon-in-the-climate-system","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ie\/428492\/","title":{"rendered":"Atmospheric black carbon in the climate system"},"content":{"rendered":"
  • \n

    Szopa, S. et al. in Climate Change 2021 \u2013 The Physical Science Basis (eds V. Masson-Delmotte et al.) (IPCC, Cambridge Univ. Press, 2021); https:\/\/doi.org\/10.1017\/9781009157896.008<\/a>.<\/p>\n<\/li>\n

  • \n

    Lelieveld, J. et al. Loss of life expectancy from air pollution compared to other risk factors: a worldwide perspective. Cardiovasc. Res. 116<\/b>, 1910\u20131917 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Bond, T. C. et al. Bounding the role of black carbon in the climate system: a scientific assessment. J. Geophys. Res. Atmos. 118<\/b>, 5380\u20135552 (2013).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Stocker, T. F. et al. in Climate Change 2013 \u2013 The Physical Science Basis (eds Stocker, T. F. et al.) (IPCC, Cambridge Univ. Press, 2013).<\/p>\n<\/li>\n

  • \n

    Takemura, T. in Handbook of Air Quality and Climate Change (eds Akimoto, H. & Tanimoto, H.) (Springer Nature, 2023); https:\/\/doi.org\/10.1007\/978-981-15-2760-9_31<\/a>.<\/p>\n<\/li>\n

  • \n

    Digby, R. A. R., von Salzen, K., Monahan, A. H., Gillett, N. P. & Li, J. The impact of uncertainty in black carbon\u2019s refractive index on simulated optical depth and radiative forcing. Atmos. Chem. Phys. 25<\/b>, 3109\u20133130 (2025).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Vignati, E. et al. Sources of uncertainties in modelling black carbon at the global scale. Atmos. Chem. Phys. 10<\/b>, 2595\u20132611 (2010).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Ren, Y. et al. Black carbon emissions generally underestimated in the global south as revealed by globally distributed measurements. Nat. Commun. 16<\/b>, 7010 (2025).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Liu, D., He, C., Schwarz, J. P. & Wang, X. Lifecycle of light-absorbing carbonaceous aerosols in the atmosphere. npj Clim. Atmos. Sci. https:\/\/doi.org\/10.1038\/s41612-020-00145-8<\/a> (2020).<\/p>\n<\/li>\n

  • \n

    Everett, J. T., Newton, E. N. & Odum, M. M. A review of progress in constraining global black carbon climate effects. Earth Syst. Environ. 6<\/b>, 771\u2013785 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Moteki, N. Climate-relevant properties of black carbon aerosols revealed by in situ measurements: a review. Prog. Earth Planet. Sci. 10<\/b>, 12 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Hoesly, R. M. et al. Historical (1750\u20132014) anthropogenic emissions of reactive gases and aerosols from the community emissions data system (CEDS). Geosci. Model Dev. 11<\/b>, 369\u2013408 (2018).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Smith, S. J., McDuffie, E. E. & Charles, M. Opinion: coordinated development of emission inventories for climate forcers and air pollutants. Atmos. Chem. Phys. 22<\/b>, 13201\u201313218 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Klimont, Z. et al. Global anthropogenic emissions of particulate matter including black carbon. Atmos. Chem. Phys. 17<\/b>, 8681\u20138723 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Paliwal, U., Sharma, M. & Burkhart, J. F. Monthly and spatially resolved black carbon emission inventory of India: uncertainty analysis. Atmos. Chem. Phys. 16<\/b>, 12457\u201312476 (2016).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Gustafsson, \u00d6 & Ramanathan, V. Convergence on climate warming by black carbon aerosols. Proc. Natl Acad. Sci. USA 113<\/b>, 4243\u20134245 (2016).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Shindell, D. et al. Simultaneously mitigating near-term climate change and improving human health and food security. Science 335<\/b>, 183\u2013189 (2012).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Lelieveld, J. et al. The Indian Ocean experiment: widespread air pollution from south and southeast asia. Science 291<\/b>, 1031\u20131036 (2001).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Barrie, L. A. Arctic air pollution: an overview of current knowledge. Atmos. Environ. 20<\/b>, 643\u2013663 (1986).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Shaw, G. E. The Arctic haze phenomenon. Bull. Am. Meteorol. Soc. 76<\/b>, 2403\u20132413 (1995).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Ramanathan, V. et al. Atmospheric brown clouds: impacts on South Asian climate and hydrological cycle. Proc. Natl Acad. Sci. USA 102<\/b>, 5326\u20135333 (2005).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Ramanathan, V. & Crutzen, P. J. New directions: atmospheric brown \u2018clouds\u2019. Atmos. Environ. https:\/\/doi.org\/10.1016\/S1352-2310(03)00536-3<\/a> (2003).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Chylek, P., Damiano, P., Kalyaniwalla, N. & Shettle, E. P. Radiative properties of water clouds: simple approximations. Atmos. Res. 35<\/b>, 139\u2013156 (1995).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Haywood, J. M. & Shine, K. P. The effect of anthropogenic sulfate and soot aerosol on the clear sky planetary radiation budget. Geophys. Res. Lett. 22<\/b>, 603\u2013606 (1995).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Van Marle, M. J. E. et al. Historic global biomass burning emissions for CMIP6 (BB4CMIP) based on merging satellite observations with proxies and fire models (1750\u20132015). Geosci. Model Dev. https:\/\/doi.org\/10.5194\/gmd-10-3329-2017<\/a> (2017).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    McDuffie, E. E. et al. A global anthropogenic emission inventory of atmospheric pollutants from sector- and fuel-specific sources (1970\u20132017): an application of the community emissions data system (CEDS). Earth Syst. Sci. Data 12<\/b>, 3413\u20133442 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Cape, J. N., Coyle, M. & Dumitrean, P. The atmospheric lifetime of black carbon. Atmos. Environ. 59<\/b>, 256\u2013263 (2012).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Hoesly, R. et al. CEDS v_2024_07_08 release emission data. Zenodo https:\/\/doi.org\/10.5281\/zenodo.12803196<\/a> (2024).<\/p>\n<\/li>\n

  • \n

    Chen, Y. et al. Multi-decadal trends and variability in burned area from the fifth version of the global fire emissions database (GFED5). Earth Syst. Sci. Data 15<\/b>, 5227\u20135259 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Buchard, V. et al. The MERRA-2 aerosol reanalysis, 1980 onward. Part II: evaluation and case studies. J. Clim. 30<\/b>, 6851\u20136872 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Randles, C. A. et al. The MERRA-2 aerosol reanalysis, 1980 onward. Part I: system description and data assimilation evaluation. J. Clim. 30<\/b>, 6823\u20136850 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Lund, M. T. et al. Concentrations and radiative forcing of anthropogenic aerosols from 1750 to 2014 simulated with the Oslo CTM3 and CEDS emission inventory. Geosci. Model Dev. 11<\/b>, 4909\u20134931 (2018).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Myhre, G. et al. Multi-model simulations of aerosol and ozone radiative forcing due to anthropogenic emission changes during the period 1990\u20132015. Atmos. Chem. Phys. 17<\/b>, 2709\u20132720 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    De Reus, M. et al. Airborne observations of dry particle absorption and scattering properties over the northern Indian Ocean. J. Geophys. Res. Atmos. 107<\/b>, INX2 34-1\u2013INX2 34-9 (2002).<\/p>\n


    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Yu, P. et al. Black carbon lofts wildfire smoke high into the stratosphere to form a persistent plume. Science 365<\/b>, 587\u2013590 (2019).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Zhang, Y. et al. Top-of-atmosphere radiative forcing affected by brown carbon in the upper troposphere. Nat. Geosci. 10<\/b>, 486\u2013489 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Lawrence, M. G. & Lelieveld, J. Atmospheric pollutant outflow from southern asia: a review. Atmos. Chem. Phys. 10<\/b>, 11017\u201311096 (2010).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Ban-Weiss, G. A., Cao, L., Bala, G. & Caldeira, K. Dependence of climate forcing and response on the altitude of black carbon aerosols. Clim. Dyn. 38<\/b>, 897\u2013911 (2012).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Ramana, M. V. et al. Warming influenced by the ratio of black carbon to sulphate and the black-carbon source. Nat. Geosci. 3<\/b>, 542\u2013545 (2010).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Samset, B. H. & Myhre, G. Vertical dependence of black carbon, sulphate and biomass burning aerosol radiative forcing. Geophys. Res. Lett. https:\/\/doi.org\/10.1029\/2011GL049697<\/a> (2011).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Liu, D. et al. Efficient vertical transport of black carbon in the planetary boundary layer. Geophys. Res. Lett. 47<\/b>, e2020GL088858 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Ma, C. et al. Smoke-charged vortex doubles hemispheric aerosol in the middle stratosphere and buffers ozone depletion. Sci. Adv. https:\/\/doi.org\/10.1126\/sciadv.adn3657<\/a> (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Li, J. et al. Scattering and absorbing aerosols in the climate system. Nat. Rev. Earth Environ. 3<\/b>, 363\u2013379 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Kang, S., Zhang, Y., Qian, Y. & Wang, H. A review of black carbon in snow and ice and its impact on the cryosphere. Earth Sci. Rev. https:\/\/doi.org\/10.1016\/j.earscirev.2020.103346<\/a> (2020).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Zhang, P. et al. Diesel soot photooxidation enhances the heterogeneous formation of H2SO4. Nat. Commun. 13<\/b>, 5364 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Peng, J. et al. Ageing and hygroscopicity variation of black carbon particles in Beijing measured by a quasi-atmospheric aerosol evolution study (QUALITY) chamber. Atmos. Chem. Phys. 17<\/b>, 10333\u201310348 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Zhang, F. et al. An unexpected catalyst dominates formation and radiative forcing of regional haze. Proc. Natl Acad. Sci. USA 117<\/b>, 3960\u20133966 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Zhang, J. et al. Liquid-liquid phase separation reduces radiative absorption by aged black carbon aerosols. Commun. Earth Environ. 3<\/b>, 128 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Jacobson, M. Z. Investigating cloud absorption effects: global absorption properties of black carbon, tar balls, and soil dust in clouds and aerosols. J. Geophys. Res. Atmos. https:\/\/doi.org\/10.1029\/2011JD017218<\/a> (2012).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Peng, J. et al. Markedly enhanced absorption and direct radiative forcing of black carbon under polluted urban environments. Proc. Natl Acad. Sci. USA 113<\/b>, 4266\u20134271 (2016).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Fierce, L. et al. Radiative absorption enhancements by black carbon controlled by particle-to-particle heterogeneity in composition. Proc. Natl Acad. Sci. USA 117<\/b>, 5196\u20135203 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Zhang, R. et al. Variability in morphology, hygroscopicity, and optical properties of soot aerosols during atmospheric processing. Proc. Natl Acad. Sci. USA 105<\/b>, 10291\u201310296 (2008).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Van Der Werf, G. R. et al. Global fire emissions estimates during 1997\u20132016. Earth Syst. Sci. Data 9<\/b>, 697\u2013720 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Xu, H. et al. Updated global black carbon emissions from 1960 to 2017: improvements, trends, and drivers. Environ. Sci. Technol. 55<\/b>, 7869\u20137879 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Zhang, Y. et al. Black carbon in major global source areas from 2000 to 2023: spatiotemporal variation, vertical distribution, and extreme case analysis. Environ. Pollut. 371<\/b>, 125929 (2025).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Dasari, S. et al. Observationally constrained wintertime emission fluxes and atmospheric lifetime of black carbon in south asia. Environ. Sci. Technol. Lett. 12<\/b>, 710\u2013717 (2025).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Nair, H. R. C. R. et al. Aerosol demasking enhances climate warming over South Asia. npj Clim. Atmos. Sci. 6<\/b>, 39 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Winiger, P. et al. Source apportionment of circum-Arctic atmospheric black carbon from isotopes and modeling. Sci. Adv. 5<\/b>, eaau8052 (2019).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Fang, W. et al. Dual-isotope constraints on seasonally resolved source fingerprinting of black carbon aerosols in sites of the four emission hot spot regions of China. J. Geophys. Res. Atmos. 123<\/b>, 11,735\u201311,747 (2018).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Liu, J. et al. Substantial reductions in black carbon from both fossil fuels and biomass burning during China\u2019s clean air action. Proc. Natl Acad. Sci. USA 122<\/b>, e2500843122 (2025).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Kirago, L. et al. Atmospheric black carbon loadings and sources over eastern sub-Saharan Africa are governed by the regional savanna fires. Environ. Sci. Technol. 56<\/b>, 15460\u201315469 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Laj, P. et al. A global analysis of climate-relevant aerosol properties retrieved from the network of global atmosphere watch (GAW) near-surface observatories. Atmos. Meas. Tech. 13<\/b>, 4353\u20134392 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Dasari, S. et al. Source quantification of South Asian black carbon aerosols with isotopes and modeling. Environ. Sci. Technol. 54<\/b>, 11771\u201311779 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Collaud Coen, M. et al. Multidecadal trend analysis of in situ aerosol radiative properties around the world. Atmos. Chem. Phys. 20<\/b>, 8867\u20138908 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Schutgens, N. A. J., Partridge, D. G. & Stier, P. The importance of temporal collocation for the evaluation of aerosol models with observations. Atmos. Chem. Phys. 16<\/b>, 1065\u20131079 (2016).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Wang, H., Burleyson, C. D., Ma, P. L., Fast, J. D. & Rasch, P. J. Using the atmospheric radiation measurement (ARM) datasets to evaluate climate models in simulating diurnal and seasonal variations of tropical clouds. J. Clim. 31<\/b>, 3301\u20133325 (2018).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Li, W. et al. Evaluation of MERRA-2 and CAMS reanalysis for black carbon aerosol in China. Environ. Pollut. 343<\/b>, 123182 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Malik, A., Aggarwal, S. G., Sinha, P. R., Kondo, Y. & Ohata, S. On the biases of MERRA-2 reanalysis and ground-based measurements of black carbon aerosols over India. Atmos. Pollut. Res. https:\/\/doi.org\/10.1016\/j.apr.2024.102325<\/a> (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Soni, A. et al. Multiple site ground-based evaluation of carbonaceous aerosol mass concentrations retrieved from CAMS and MERRA-2 over the Indo-Gangetic Plain. Environ. Sci. Atmos. 1<\/b>, 577\u2013590 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Smaran, M. & Vinoj, V. Evaluation of background black carbon concentration in India. Aerosol Air Qual. Res. 24<\/b>, 230300 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Samset, B. H. et al. Black carbon vertical profiles strongly affect its radiative forcing uncertainty. Atmos. Chem. Phys. 13<\/b>, 2423\u20132434 (2013).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Lund, M. T. et al. Short black carbon lifetime inferred from a global set of aircraft observations. npj Clim. Atmos. Sci. 1<\/b>, 31 (2018).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Thompson, C. R. et al. The NASA atmospheric tomography (ATom) mission: imaging the chemistry of the global atmosphere. Bull. Am. Meteorol. Soc. 103<\/b>, E761\u2013E790 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Berberich, J. et al. Black carbon reflects extremely efficient aerosol wet removal in monsoonal convective transport. J. Geophys. Res. Atmos. 130<\/b>, e2024JD042692 (2025).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Levelt, P. F. et al. The ozone monitoring instrument. IEEE Trans. Geosci. Remote Sens. https:\/\/doi.org\/10.1109\/TGRS.2006.872333<\/a> (2006).<\/p>\n<\/li>\n

  • \n

    Holben, B. N. et al. AERONET \u2014 a federated instrument network and data archive for aerosol characterization. Remote Sens. Environ. 66<\/b>, 1\u201316 (1998).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Osipov, S. et al. Severe atmospheric pollution in the middle east is attributable to anthropogenic sources. Commun. Earth Environ. 3<\/b>, 203 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Flanner, M. G., Zender, C. S., Randerson, J. T. & Rasch, P. J. Present-day climate forcing and response from black carbon in snow. J. Geophys. Res. Atmos. https:\/\/doi.org\/10.1029\/2006JD008003<\/a> (2007).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Penner, J. E., Zhang, S. Y. & Chuang, C. C. Soot and smoke aerosol may not warm climate. J. Geophys. Res. Atmos. https:\/\/doi.org\/10.1029\/2003JD003409<\/a> (2003).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Stjern, C. W. et al. The time scales of climate responses to carbon dioxide and aerosols. J. Clim. 36<\/b>, 3537\u20133551 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Samset, B. H. et al. Fast and slow precipitation responses to individual climate forcers: a PDRMIP multimodel study. Geophys. Res. Lett. 43<\/b>, 2782\u20132791 (2016).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Ackerman, A. S. et al. Reduction of tropical cloudiness by soot. Science 288<\/b>, 1042\u20131047 (2000).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Smith, C. J. et al. FAIR v1.3: a simple emissions-based impulse response and carbon cycle model. Geosci. Model Dev. 11<\/b>, 2273\u20132297 (2018).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Thornhill, G. D. et al. Effective radiative forcing from emissions of reactive gases and aerosols \u2014 a multi-model comparison. Atmos. Chem. Phys. 21<\/b>, 853\u2013874 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Myhre, G. et al. The warming effect of black carbon must be reassessed in light of observational constraints. Cell Rep. Sustain. https:\/\/doi.org\/10.1016\/j.crsus.2025.100428<\/a> (2025).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Hansen, J., Sato, M. & Ruedy, R. Radiative forcing and climate response. J. Geophys. Res. Atmos. 102<\/b>, 6831\u20136864 (1997).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Stjern, C. W. et al. Rapid adjustments cause weak surface temperature response to increased black carbon concentrations. J. Geophys. Res. Atmos. 122<\/b>, 462\u201311,481 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Bond, T. C. et al. A technology-based global inventory of black and organic carbon emissions from combustion. J. Geophys. Res. Atmos. https:\/\/doi.org\/10.1029\/2003JD003697<\/a> (2004).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Venkataraman, C. et al. Source influence on emission pathways and ambient PM2.5 pollution over India (2015\u20132050). Atmos. Chem. Phys. 18<\/b>, 8017\u20138039 (2018).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Zheng, B. et al. Trends in China\u2019s anthropogenic emissions since 2010 as the consequence of clean air actions. Atmos. Chem. Phys. 18<\/b>, 14095\u201314111 (2018).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Crippa, M. et al. The HTAP_v3 emission mosaic: merging regional and global monthly emissions (2000\u20132018) to support air quality modelling and policies. Earth Syst. Sci. Data 15<\/b>, 2667\u20132694 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Solazzo, E. et al. Uncertainties in the Emissions Database for Global Atmospheric Research (EDGAR) emission inventory of greenhouse gases. Atmos. Chem. Phys. 21<\/b>, 5655\u20135683 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Tibrewal, K. & Venkataraman, C. Climate co-benefits of air quality and clean energy policy in India. Nat. Sustain. 4<\/b>, 305\u2013313 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Intergovernmental Panel on Climate Change. Decision IPCC-LXI-7: Outline of the 2027 IPCC Methodology Report on Inventories for Short-Lived Climate Forcers (IPCC, 2024); https:\/\/www.ipcc.ch\/site\/assets\/uploads\/2024\/08\/Decision_SLCF.pdf<\/a>.<\/p>\n<\/li>\n

  • \n

    Salam, A., Bauer, H., Kassin, K., Ullah, S. M. & Puxbaum, H. Aerosol chemical characteristics of a mega-city in Southeast Asia (Dhaka-Bangladesh). Atmos. Environ. 37<\/b>, 2517\u20132528 (2003).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Schauer, J. J. et al. Source apportionment of airborne particulate matter using organic compounds as tracers. Atmos. Environ. 41<\/b>, 241\u2013259 (2007).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Schauer, J. J. & Cass, G. R. Source apportionment of wintertime gas-phase and particle-phase air pollutants using organic compounds as tracers. Environ. Sci. Technol. 34<\/b>, 1821\u20131832 (2000).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Simoneit, B. R. T. et al. Levoglucosan, a tracer for cellulose in biomass burning and atmospheric particles. Atmos. Environ. 33<\/b>, 173\u2013182 (1999).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Urban, R. C. et al. Use of levoglucosan, potassium, and water-soluble organic carbon to characterize the origins of biomass-burning aerosols. Atmos. Environ. 61<\/b>, 562\u2013569 (2012).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Kirchstetter, T. W., Novakov, T. & Hobbs, P. V. Evidence that the spectral dependence of light absorption by aerosols is affected by organic carbon. J. Geophys. Res. Atmos. https:\/\/doi.org\/10.1029\/2004JD004999<\/a> (2004).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Gustafsson, \u00d6 et al. Brown clouds over South Asia: biomass or fossil fuel combustion? Science 323<\/b>, 495\u2013498 (2009).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Currie, L. A. Evolution and multidisciplinary frontiers of 14C aerosol science. Radiocarbon 42<\/b>, 115\u2013126 (2000).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Gustafsson, \u00d6 et al. Evaluation of a protocol for the quantification of black carbon in sediments. Glob. Biogeochem. Cycles 15<\/b>, 881\u2013890 (2001).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Andersson, A. et al. Regionally-varying combustion sources of the January 2013 severe haze events over Eastern China. Environ. Sci. Technol. 49<\/b>, 2038\u20132043 (2015).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Budhavant, K., Andersson, A., Holmstrand, H., Satheesh, S. K. & Gustafsson, \u00d6 Black carbon aerosols over Indian Ocean have unique source fingerprint and optical characteristics during monsoon season. Proc. Natl Acad. Sci. USA 120<\/b>, e2210005120 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Bond, T. C. & Bergstrom, R. W. Light absorption by carbonaceous particles: an investigative review. Aerosol Sci. Technol. 40<\/b>, 27\u201367 (2006).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Li, W. et al. Microphysical properties of atmospheric soot and organic particles: measurements, modeling, and impacts. npj Clim. Atmos. Sci. 7<\/b>, 65 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Cappa, C. D. et al. Radiative absorption enhancements due to the mixing state of atmospheric black carbon. Science 337<\/b>, 1078\u20131081 (2012).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Huang, X. F. et al. Microphysical complexity of black carbon particles restricts their warming potential. One Earth 7<\/b>, 136\u2013145 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Liu, D. et al. Sources of non-fossil-fuel emissions in carbonaceous aerosols during early winter in Chinese cities. Atmos. Chem. Phys. 17<\/b>, 11491\u201311502 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Climate Change 2021 \u2014 The Physical Science Basis (eds Masson-Delmotte, V. et al.) (IPCC, Cambridge Univ, Press, 2023); https:\/\/doi.org\/10.1017\/9781009157896<\/a>.<\/p>\n<\/li>\n

  • \n

    Klingm\u00fcller, K., Steil, B., Br\u00fchl, C., Tost, H. & Lelieveld, J. Sensitivity of aerosol extinction to new mixing rules in the AEROPT submodel of the ECHAM5\/MESSy1.9 atmospheric chemistry (EMAC) model. Geosci. Model Dev. https:\/\/doi.org\/10.5194\/gmdd-7-3367-2014<\/a> (2014).<\/p>\n<\/li>\n

  • \n

    Tan, T. et al. Impact of aging process on atmospheric black carbon aerosol properties and climate effects. Chin. Sci. Bull. 65<\/b>, 4235\u20134250 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Liu, S. et al. Enhanced light absorption by mixed source black and brown carbon particles in UK winter. Nat. Commun. 6<\/b>, 8435 (2015).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Khalizov, A. F. et al. Formation of highly hygroscopic soot aerosols upon internal mixing with sulfuric acid vapor. J. Geophys. Res. Atmos. https:\/\/doi.org\/10.1029\/2008JD010595<\/a> (2009).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Shiraiwa, M., Kondo, Y., Iwamoto, T. & Kita, K. Amplification of light absorption of black carbon by organic coating. Aerosol Sci. Technol. 44<\/b>, 46\u201354 (2010).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Tan, T. et al. Measurement report: strong light absorption induced by aged biomass burning black carbon over the southeastern Tibetan Plateau in pre-monsoon season. Atmos. Chem. Phys. 21<\/b>, 8499\u20138510 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Denjean, C. et al. Unexpected biomass burning aerosol absorption enhancement explained by black carbon mixing state. Geophys. Res. Lett. 47<\/b>, e2020GL089055 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Liu, D. et al. Black-carbon absorption enhancement in the atmosphere determined by particle mixing state. Nat. Geosci. 10<\/b>, 184\u2013188 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Corbin, J. C., Modini, R. L. & Gysel-Beer, M. Mechanisms of soot-aggregate restructuring and compaction. Aerosol Sci. Technol. 57<\/b>, 89\u2013111 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Yuan, Q. et al. Measurement report: new insights into the mixing structures of black carbon on the eastern Tibetan Plateau \u2014 soot redistribution and fractal dimension enhancement by liquid\u2013liquid phase separation. Atmos. Chem. Phys. 23<\/b>, 9385\u20139399 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Zhai, J. et al. Absorption enhancement of black carbon aerosols constrained by mixing-state heterogeneity. Environ. Sci. Technol. 56<\/b>, 1586\u20131593 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Sand, M. et al. Aerosol absorption in global models from AeroCom phase III. Atmos. Chem. Phys. 21<\/b>, 15929\u201315947 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Chen, G., Liu, C., Wang, J., Yin, Y. & Wang, Y. Accounting for black carbon mixing state, nonsphericity, and heterogeneity effects in its optical property parameterization in a climate model. J. Geophys. Res. Atmos. 129<\/b>, e2024JD041135 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Textor, C. et al. Analysis and quantification of the diversities of aerosol life cycles within AeroCom. Atmos. Chem. Phys. 6<\/b>, 1777\u20131813 (2006).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Koch, D. et al. Evaluation of black carbon estimations in global aerosol models. Atmos. Chem. Phys. 9<\/b>, 9001\u20139026 (2009).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Hodnebrog, \u00d8, Myhre, G. & Samset, B. H. How shorter black carbon lifetime alters its climate effect. Nat. Commun. 5<\/b>, 5065 (2014).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Gelaro, R. et al. The modern-era retrospective analysis for research and applications, version 2 (MERRA-2). J. Clim. 30<\/b>, 5419\u20135454 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Whaley, C. H. et al. Model evaluation of short-lived climate forcers for the arctic monitoring and assessment programme: a multi-species, multi-model study. Atmos. Chem. Phys. 22<\/b>, 5775\u20135828 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Sonwani, S. & Kulshrestha, U. C. PM10 carbonaceous aerosols and their real-time wet scavenging during monsoon and non-monsoon seasons at Delhi, India. J. Atmos. Chem. 76<\/b>, 171\u2013200 (2019).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Budhavant, K. et al. Enhanced light-absorption of black carbon in rainwater compared with aerosols over the northern Indian Ocean. J. Geophys. Res. Atmos. 125<\/b>, e2019JD031246 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Croft, B. et al. Influences of in-cloud aerosol scavenging parameterizations on aerosol concentrations and wet deposition in ECHAM5-HAM. Atmos. Chem. Phys. 10<\/b>, 1511\u20131543 (2010).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Samset, B. H. et al. Modelled black carbon radiative forcing and atmospheric lifetime in AeroCom phase II constrained by aircraft observations. Atmos. Chem. Phys. 14<\/b>, 12465\u201312477 (2014).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Xu, J. et al. Influence of cloud microphysical processes on black carbon wet removal, global distributions, and radiative forcing. Atmos. Chem. Phys. 19<\/b>, 1587\u20131603 (2019).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Gli\u00df, J. et al. AeroCom phase III multi-model evaluation of the aerosol life cycle and optical properties using ground- and space-based remote sensing as well as surface in situ observations. Atmos. Chem. Phys. 21<\/b>, 87\u2013128 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Boucher, O. et al. Jury is still out on the radiative forcing by black carbon. Proc. Natl Acad. Sci. USA 113<\/b>, E5092\u2013E5093 (2016).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Junge, C. E. Residence time and variability of tropospheric trace gases. Tellus 26<\/b>, 477\u2013488 (1974).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Jobson, B. T. et al. Spatial and temporal variablity of nonmethane hydrocarbon mixing ratios and their relation to photochemical lifetime. J. Geophys. Res. Atmos. 103<\/b>, 13557\u201313567 (1998).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Williams, J., de Reus, M., Krejci, R., Fischer, H. & Str\u00f6m, J. Application of the variability-size relationship to atmospheric aerosol studies: estimating aerosol lifetimes and ages. Atmos. Chem. Phys. 2<\/b>, 133\u2013145 (2002).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Savadkoohi, M. et al. Recommendations for reporting equivalent black carbon (eBC) mass concentrations based on long-term pan-European in-situ observations. Environ. Int. 185<\/b>, 108553 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Elmquist, M., Zencak, Z. & Gustafsson, \u00d6 A 700 year sediment record of black carbon and polycyclic aromatic hydrocarbons near the EMEP air monitoring station in Aspvreten, Sweden. Environ. Sci. Technol. 41<\/b>, 6926\u20136932 (2007).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Gustafsson, \u00d6, Haghseta, F., Chan, C., Macfarlane, J. & Gschwend, P. M. Quantification of the dilute sedimentary soot phase: implications for PAH speciation and bioavailability. Environ. Sci. Technol. 31<\/b>, 203\u2013209 (1997).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Legrand, M. et al. Major 20th century changes of carbonaceous aerosol components (EC, WinOC, DOC, HULIS, carboxylic acids, and cellulose) derived from Alpine ice cores. J. Geophys. Res. Atmos. https:\/\/doi.org\/10.1029\/2006JD008080<\/a> (2007).<\/p>\n<\/li>\n

  • \n

    Murphy, D. M. et al. Decreases in elemental carbon and fine particle mass in the United States. Atmos. Chem. Phys. 11<\/b>, 4679\u20134686 (2011).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Lu, Z., Zhang, Q. & Streets, D. G. Sulfur dioxide and primary carbonaceous aerosol emissions in China and India, 1996\u20132010. Atmos. Chem. Phys. 11<\/b>, 9839\u20139864 (2011).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Marais, E. A. & Wiedinmyer, C. Air quality impact of diffuse and inefficient combustion emissions in Africa. Environ. Sci. Technol. 50<\/b>, 10739\u201310745 (2016).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Wiedinmyer, C. et al. The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning. Geosci. Model Dev. 4<\/b>, 625\u2013641 (2011).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Andela, N. et al. A human-driven decline in global burned area. Science 356<\/b>, 1356\u20131362 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Mccarty, J. L. et al. Reviews and syntheses: Arctic fire regimes and emissions in the 21st century. Biogeosciences https:\/\/doi.org\/10.5194\/bg-18-5053-2021<\/a> (2021).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Descals, A. et al. Unprecedented fire activity above the Arctic Circle linked to rising temperatures. Science 378<\/b>, 532\u2013537 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Kanaya, Y. et al. Rapid reduction in black carbon emissions from China: evidence from 2009\u20132019 observations on Fukue Island, Japan. Atmos. Chem. Phys. 20<\/b>, 6339\u20136356 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Savadkoohi, M. et al. Multi-site comparison and source apportionment of equivalent black carbon mass concentrations (eBC) in the United States: Southern California Basin and Rochester, New York. Atmos. Pollut. Res. 16<\/b>, 102340 (2025).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Savadkoohi, M. et al. The variability of mass concentrations and source apportionment analysis of equivalent black carbon across urban Europe. Environ. Int. 178<\/b>, 108081 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Schmale, J. et al. Pan-Arctic seasonal cycles and long-term trends of aerosol properties from 10 observatories. Atmos. Chem. Phys. 22<\/b>, 3067\u20133096 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Backman, J., Schmeisser, L. & Asmi, E. Asian emissions explain much of the Arctic black carbon events. Geophys. Res. Lett. 48<\/b>, e2020GL091913 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Dai, M. et al. Long-term variation and source apportionment of black carbon at Mt. Waliguan, China. J. Geophys. Res. Atmos. 126<\/b>, e2021JD035273 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Sun, J. et al. Measurement report: long-term changes in black carbon and aerosol optical properties from 2012 to 2020 in Beijing, China. Atmos. Chem. Phys. 22<\/b>, 561\u2013575 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Mehrotra, B. J. et al. Long-term trend in black carbon mass concentration over central Indo-Gangetic plain location: understanding the implied change in radiative forcing. J. Geophys. Res. Atmos. 129<\/b>, e2024JD040754 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Manoj, M. R., Satheesh, S. K., Moorthy, K. K., Gogoi, M. M. & Babu, S. S. Decreasing trend in black carbon aerosols over the Indian region. Geophys. Res. Lett. 46<\/b>, 2903\u20132910 (2019).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Eyring, V. et al. Overview of the coupled model intercomparison project phase 6 (CMIP6) experimental design and organization. Geosci. Model Dev. 9<\/b>, 1937\u20131958 (2016).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Babu, S. S. et al. Free tropospheric black carbon aerosol measurements using high altitude balloon: Do BC layers build their own homes up in the atmosphere? Geophys. Res. Lett. 38<\/b>, 1\u20136 (2011).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Ratnam, M. V. et al. Vertically resolved black carbon measurements and associated heating rates obtained using in situ balloon platform. Atmos. Environ. 232<\/b>, 117541 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Ramanathan, V. et al. Warming trends in Asia amplified by brown cloud solar absorption. Nature 448<\/b>, 575\u2013578 (2007).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Ditas, J. et al. Strong impact of wildfires on the abundance and aging of black carbon in the lowermost stratosphere. Proc. Natl Acad. Sci. USA 115<\/b>, E11595\u2013E11603 (2018).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Babu, S. S. & Moorthy, K. K. Aerosol black carbon over a tropical coastal station in India. Geophys. Res. Lett. 29<\/b>, 13-1\u201313-4 (2002).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Saha, A. & Despiau, S. Seasonal and diurnal variations of black carbon aerosols over a Mediterranean coastal zone. Atmos. Res. 92<\/b>, 27\u201341 (2009).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Bernath, P., Boone, C. & Crouse, J. Wildfire smoke destroys stratospheric ozone. Science 375<\/b>, 1292\u20131295 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Schwarz, J. P. et al. Global-scale black carbon profiles observed in the remote atmosphere and compared to models. Geophys. Res. Lett. 37<\/b>, 1\u20135 (2010).<\/p>\n


    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Johnson, B. T., Shine, K. P. & Forster, P. M. The semi-direct aerosol effect: impact of absorbing aerosols on marine stratocumulus. Q. J. R. Meteorol. Soc. 130<\/b>, 1407\u20131422 (2004).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Brioude, J. et al. Effect of biomass burning on marine stratocumulus clouds off the California coast. Atmos. Chem. Phys. 9<\/b>, 8841\u20138856 (2009).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Koch, D. & Del Genio, A. D. Black carbon semi-direct effects on cloud cover: review and synthesis. Atmos. Chem. Phys. 10<\/b>, 7685\u20137696 (2010).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Wang, J. et al. Black-carbon-induced regime transition of boundary layer development strongly amplifies severe haze. One Earth 6<\/b>, 751\u2013759 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Chen, B. et al. Light absorption enhancement of black carbon from urban haze in Northern China winter. Environ. Pollut. 221<\/b>, 418\u2013426 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Shindell, D. T. et al. Radiative forcing in the ACCMIP historical and future climate simulations. Atmos. Chem. Phys. 13<\/b>, 2939\u20132974 (2013).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Ramanathan, V. & Carmichael, G. Global and regional climate changes due to black carbon. Nat. Geosci. 1<\/b>, 221\u2013227 (2008).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Chen, B. et al. Reconciling modeling with observations of radiative absorption of black carbon aerosols. J. Geophys. Res. Atmos. 122<\/b>, 5932\u20135942 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Schutgens, N. et al. AEROCOM and AEROSAT AAOD and SSA study \u2014 part 1: evaluation and intercomparison of satellite measurements. Atmos. Chem. Phys. 21<\/b>, 6895\u20136917 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Ramanathan, V., Crutzen, P. J., Kiehl, J. T. & Rosenfeld, D. Aerosols, climate, and the hydrological cycle. Science 294<\/b>, 2119\u20132124 (2001).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Satheesh, S. K. & Ramanathan, V. Large differences in tropical aerosol forcing at the top of the atmosphere and Earth\u2019s surface. Nature 405<\/b>, 60\u201363 (2000).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Menon, S., Hansen, J., Nazarenko, L. & Luo, Y. Climate effects of black carbon aerosols in China and India. Science 297<\/b>, 2250\u20132253 (2002).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Quaas, J. et al. Adjustments to climate perturbations \u2014 mechanisms, implications, observational constraints. AGU Adv. 5<\/b>, 1\u201322 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Stier, P. et al. Multifaceted aerosol effects on precipitation. Nat. Geosci. 17<\/b>, 719\u2013732 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    SMoG-India Emission Inventory and Scenario Platform. Speciated Multipollutant Generator (NCAP-COALESCE\/IIT Bombay, 2024); https:\/\/sites.google.com\/site\/profchandralab\/resources\/smog-speciated-multipollutant-generator-emission-inventory-over-india<\/a>.<\/p>\n<\/li>\n

  • \n

    Crippa, M. et al. Insights into the spatial distribution of global, national, and subnational greenhouse gas emissions in the Emissions Database for Global Atmospheric Research (EDGAR v8.0). Earth Syst. Sci. Data 16<\/b>, 2811\u20132830 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Kurokawa, J. & Ohara, T. Long-term historical trends in air pollutant emissions in Asia: regional Emission inventory in ASia (REAS) version 3. Atmos. Chem. Phys. 20<\/b>, 12761\u201312793 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n     CAS<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Wu, N. et al. Development of a high-resolution integrated emission inventory of air pollutants for China. Earth Syst. Sci. Data 16<\/b>, 2893\u20132915 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n","protected":false},"excerpt":{"rendered":"Szopa, S. et al. in Climate Change 2021 \u2013 The Physical Science Basis (eds V. Masson-Delmotte et al.)…\n","protected":false},"author":2,"featured_media":428493,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_share_on_mastodon":"0"},"categories":[269],"tags":[9132,14697,18,440,3297,910,19,17,133],"class_list":["post-428492","post","type-post","status-publish","format-standard","has-post-thumbnail","category-environment","tag-atmospheric-science","tag-earth-sciences","tag-eire","tag-environment","tag-environmental-sciences","tag-general","tag-ie","tag-ireland","tag-science"],"share_on_mastodon":{"url":"https:\/\/pubeurope.com\/@ie\/116377580067374084","error":""},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/posts\/428492","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/comments?post=428492"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/posts\/428492\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/media\/428493"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/media?parent=428492"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/categories?post=428492"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/tags?post=428492"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}