Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Advertisement

npj Climate and Atmospheric Science
  • View all journals
  • Search
  • My Account Login
  • Content Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • RSS feed
  1. nature
  2. npj climate and atmospheric science
  3. articles
  4. article
Constraining the intensive absorption properties of ambient organic aerosol particles based on pan-European observations
Download PDF
Download PDF
  • Article
  • Open access
  • Published: 10 April 2026

Constraining the intensive absorption properties of ambient organic aerosol particles based on pan-European observations

  • Jordi Rovira1,2,
  • Jesús Yus-Díez3,
  • Gang I. Chen4,
  • Griša Močnik3,5,6,
  • Martin Gysel-Beer7,
  • Wenche Aas8,
  • Minna Aurela9,
  • John Backman9,
  • Sujai Banerji10,
  • Benjamin T. Brem7,
  • Anna Canals-Angerri1,
  • Benjamin Chazeau7,11,
  • Kaspar R. Daellenbach7,
  • Joel F. de Brito12,
  • Evangelia Diapouli13,
  • Konstantinos Eleftheriadis13,
  • Mikael Ehn10,
  • Olivier Favez14,
  • Harald Flentje15,
  • Maria I. Gini13,
  • Konstantinos Granakis13,
  • Asta Gregorič3,16,
  • Roy Harrison17,
  • Liine Heikkinen10,
  • Christoph Hueglin18,
  • Antti Hyvärinen9,
  • Matic Ivančič16,
  • Hannes Keernik19,20,
  • Eleni Liakakou21,
  • Chunshui Lin22,
  • Radek Lhotka23,
  • Krista Luoma9,10,
  • Marek Maasikmets19,
  • Hanna E. Manninen24,
  • Manousos Ioannis Manousakas7,
  • Nicolas Marchand11,
  • Saliou Mbengue25,
  • Nikos Mihalopoulos21,
  • María Cruz Minguillón1,
  • Doina Nicolae26,
  • Jarkko V. Niemi24,
  • Jurgita Ovadnevaite22,
  • Noemí Pérez1,
  • Jean-Eudes Petit27,
  • Stephen M. Platt8,
  • Petra Pokorná23,
  • André S. H. Prévôt7,
  • Véronique Riffault12,
  • Martin Rigler16,
  • Matteo Rinaldi28,
  • Jaroslav Schwarz23,
  • Iasonas Stavroulas3,
  • Erik Teinemaa19,
  • Kimmo Teinilä9,
  • Hilkka Timonen9,29,
  • Anna Tobler7,30,
  • Jeni Vasilescu26,
  • Marta Via3,
  • Petr Vodička23,
  • Stergios Vratolis13,
  • Karl Espen Yttri8,
  • Naděžda Zíková23,
  • Olga Zografou13,
  • Andrés Alastuey1,
  • Tuukka Petäjä10,
  • Xavier Querol1 &
  • …
  • Marco Pandolfi1 

npj Climate and Atmospheric Science (2026) Cite this article

  • 2100 Accesses

  • Metrics details

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Climate sciences
  • Environmental sciences

Abstract

Organic aerosol particles (OA) can absorb solar radiation with varying efficiencies depending on their chemical composition and physical properties. This light-absorbing fraction of OA, commonly referred to as brown carbon (BrC), is difficult to accurately represent in climate models due to the inherent diversity of its optical properties. This variability arises from differences in emission sources and atmospheric processing, as well as from variations in experimental design and the analytical methods used to quantify BrC absorption. As a result, the climate effect of BrC remains uncertain. Here, we studied the light absorption properties of surface ambient OA using measurements from 17 sites across Europe. Combining multi-wavelength absorption measurements from filter-based photometers with OA mass concentrations and source apportionment derived from ACSM/AMS data, we derive empirical estimates of the OA mass absorption cross section (MACOA), its wavelength dependence (AAEOA), the OA density (⍴OA), and the MAC associated with different primary and secondary OA sources. We further develop parameterizations that relate MACOA, AAEOA and ⍴OA to the ambient black carbon-to-organic aerosol ratio (eBC/OA) and propose a corresponding parameterization for the imaginary refractive index (kOA). Given the widespread availability of eBC and OA measurements in global monitoring networks, the framework presented here provides a practical approach for estimating the absorptive properties of surface OA particles under real-world conditions.

Similar content being viewed by others

Mass absorption cross-section of ambient black carbon aerosols - a review

Article Open access 17 December 2025

Atmospheric black carbon in the climate system

Article 07 April 2026

Combined influences of sources and atmospheric bleaching on light absorption of water-soluble brown carbon aerosols

Article Open access 29 July 2023

Data availability

Supplementary data to this article can be found online at https://doi.org/10.5281/zenodo.17649258.

References

  1. Laskin, A., Laskin, J. & Nizkorodov, S. A. Chemistry of atmospheric brown carbon. Chem. Rev. 115, 4335–4382 (2015).

    Google Scholar 

  2. Moise, T., Flores, J. M. & Rudich, Y. Optical properties of secondary organic aerosols and their changes by chemical processes. Chem. Rev. 115, 4400–4439 (2015).

    Google Scholar 

  3. Samset, B. H. et al. Aerosol absorption: progress towards global and regional constraints. Curr. Clim. Change Rep. 4, 65–83 (2018).

    Google Scholar 

  4. Saleh, R., Cheng, Z. & Atwi, K. The Brown-Black Continuum of light-absorbing combustion aerosols. Environ. Sci. Tech. Lett. 5, 508–513 (2018).

    Google Scholar 

  5. Saleh, R. From measurements to models: toward accurate representation of brown carbon in climate calculations. Curr. Pollut. Rep. 6, 90–104 (2020).

    Google Scholar 

  6. Rovira, J. et al. A European aerosol phenomenology – 9: light absorption properties of carbonaceous aerosol particles across surface Europe. Environ. Int. 195, 109185 (2025).

    Google Scholar 

  7. Corbin, J. C. et al. Infrared-absorbing carbonaceous tar can dominate light absorption by marine-engine exhaust. npj Clim. Atmos. Sci. 2, 1–8 (2019).

    Google Scholar 

  8. Chakrabarty, R. K. et al. Shortwave absorption by wildfire smoke dominated by dark brown carbon. Nat. Geosci. 16, 683–688 (2023).

    Google Scholar 

  9. Mathai, S. et al. Optical properties of individual tar balls in the free troposphere. Environ. Sci. Technol. 57, 16834–16842 (2023).

    Google Scholar 

  10. Wang, X. et al. Dark brown carbon from biomass burning contributes to significant global-scale positive forcing. One Earth 8, 101205 (2025).

    Google Scholar 

  11. Jimenez, J. L. et al. Evolution of organic aerosols in the atmosphere. Science 326, 1525–1529 (2009).

    Google Scholar 

  12. Lack, D. A. et al. Brown carbon and internal mixing in biomass burning particles. Proc. Natl Acad. Sci. USA 109, 14802–14807 (2012).

    Google Scholar 

  13. Feng, Y., Ramanathan, V. & Kotamarthi, V. R. Brown carbon: a significant atmospheric absorber of solar radiation? Atmos. Chem. Phys. 13, 8607–8621 (2013).

    Google Scholar 

  14. Wang, X. et al. Exploiting simultaneous observational constraints on mass and absorption to estimate the global direct radiative forcing of black carbon and brown carbon. Atmos. Chem. Phys. 14, 10989–11010 (2014).

    Google Scholar 

  15. Saleh, R. et al. Contribution of brown carbon and lensing to the direct radiative effect of carbonaceous aerosols from biomass and biofuel burning emissions. J. Geophys. Res. Atmos. 120, 10285–10296 (2015).

    Google Scholar 

  16. Washenfelder, R. A. et al. Biomass burning dominates brown carbon absorption in the rural southeastern United States. Geophys. Res. Lett. 42, 653–664 (2015).

    Google Scholar 

  17. Yan, C. et al. Important fossil source contribution to brown carbon in Beijing during winter. Sci. Rep. 7, 43182 (2017).

    Google Scholar 

  18. Qin, Y. M. et al. Chemical characteristics of brown carbon in atmospheric particles at a suburban site near Guangzhou, China. Atmos. Chem. Phys. 18, 16409–16418 (2018).

    Google Scholar 

  19. Choudhary, V., Rajput, P., Singh, D. K., Singh, A. K. & Gupta, T. Light absorption characteristics of brown carbon during foggy and non-foggy episodes over the Indo-Gangetic Plain. Atmos. Pollut. Res. 9, 494–501 (2018).

    Google Scholar 

  20. Zhang, Y. et al. Substantial brown carbon emissions from wintertime residential wood burning over France. Sci. Total Environ. 743, 140752 (2020).

    Google Scholar 

  21. Chen, Y. et al. Brown carbon in atmospheric fine particles in Yangzhou, China. Atmos. Res. 244, 105028 (2020).

    Google Scholar 

  22. Jo, D. S., Park, R. J., Lee, S., Kim, S.-W. & Zhang, X. A global simulation of brown carbon: implications for photochemistry and direct radiative effect. Atmos. Chem. Phys. 16, 3413–3432 (2016).

    Google Scholar 

  23. Wang, X. et al. Exploring the observational constraints on the simulation of brown carbon. Atmos. Chem. Phys. 18, 635–653 (2018).

    Google Scholar 

  24. Hecobian, A. et al. Water-soluble organic aerosol material and the light-absorption characteristics of aqueous extracts measured over the Southeastern United States. Atmos. Chem. Phys. 10, 5965–5977 (2010).

    Google Scholar 

  25. Hu, Z. et al. Light absorption of biomass burning and vehicle emission-sourced carbonaceous aerosols of the Tibetan Plateau. Environ. Sci. Pollut. Res. 24, 15369–15378 (2017).

    Google Scholar 

  26. Kasthuriarachchi, N., Rivellini, L.-H., Adam, M. G. & Lee, A. K. Y. Light absorbing properties of primary and secondary brown carbon in a tropical urban environment. Environ. Sci. Technol. 54, 10808–10819 (2020).

    Google Scholar 

  27. Ni, H. et al. Brown carbon in primary and aged coal combustion emission. Environ. Sci. Technol. 55, 5701–5710 (2021).

    Google Scholar 

  28. Updyke, K. M., Nguyen, T. B. & Nizkorodov, S. A. Formation of brown carbon via reactions of ammonia with secondary organic aerosols from biogenic and anthropogenic precursors. Atmos. Environ. 63, 22–31 (2012).

    Google Scholar 

  29. Liu, J. et al. Brown carbon aerosol in the North American continental troposphere: sources, abundance, and radiative forcing. Atmos. Chem. Phys. 15, 7841–7858 (2015).

    Google Scholar 

  30. Kumar, N. K. et al. Production of particulate brown carbon during atmospheric aging of residential wood-burning emissions. Atmos. Chem. Phys. 18, 17843–17861 (2018).

    Google Scholar 

  31. Brown, H. et al. Radiative effect and climate impacts of brown carbon with the Community Atmosphere Model (CAM5). Atmos. Chem. Phys. 18, 17745–17768 (2018).

    Google Scholar 

  32. Zhang, A. et al. Modeling the global radiative effect of brown carbon: a potentially larger heating source in the tropical free troposphere than black carbon. Atmos. Chem. Phys. 20, 1901–1920 (2020).

    Google Scholar 

  33. Sand, M. et al. Aerosol absorption in global models from AeroCom phase III. Atmos. Chem. Phys. 21, 15929–15947 (2021).

    Google Scholar 

  34. Cuesta-Mosquera, A. et al. Optical properties and simple forcing efficiency of the organic aerosols and black carbon emitted by residential wood burning in rural central Europe. Atmos. Chem. Phys. 24, 2583–2605 (2024).

    Google Scholar 

  35. Navarro-Barboza, H. et al. Characterization of brown carbon absorption in different European environments through source contribution analysis. Atmos. Chem. Phys. 25, 2667–2694 (2025).

    Google Scholar 

  36. Sumlin, B. J. et al. UV–Vis–IR spectral complex refractive indices and optical properties of brown carbon aerosol from biomass burning. J. Quant. Spectrosc. Radiat. Transfer 206, 392–398 (2018).

    Google Scholar 

  37. Zhou, Y. et al. Bimodal distribution of size-resolved particle effective density: results from a short campaign in a rural environment over the North China Plain. Atmos. Chem. Phys. 22, 2029–2047 (2022).

    Google Scholar 

  38. Song, Y. et al. Measurement report: size-resolved particle effective density measured by an AAC-SMPS and implications for chemical composition. Atmos. Chem. Phys. 25, 4755–4766 (2025).

    Google Scholar 

  39. Saleh, R. et al. Brownness of organics in aerosols from biomass burning is linked to their black carbon content. Nat. Geosci. 7, 647–650 (2014).

    Google Scholar 

  40. Cheng, Y. et al. The characteristics of brown carbon aerosol during winter in Beijing. Atmos. Environ. 127, 355–364 (2016).

    Google Scholar 

  41. Cheng, Y. et al. Brown and black carbon in Beijing aerosol. Sci. Total Environ. 599–600, 1047–1055 (2017).

    Google Scholar 

  42. Moschos, V. et al. Source apportionment of brown carbon absorption by coupling ultraviolet–visible spectroscopy with aerosol mass spectrometry. Environ. Sci. Technol. Lett. 5, 302–308 (2018).

    Google Scholar 

  43. Moschos, V. et al. Source-specific light absorption by carbonaceous components in the complex aerosol matrix from yearly filter-based measurements. Atmos. Chem. Phys. 21, 12809–12833 (2021).

    Google Scholar 

  44. Atwi, K., Cheng, Z., El Hajj, O., Perrie, C. & Saleh, R. A dominant contribution to light absorption by methanol-insoluble brown carbon produced in the combustion of biomass fuels typically consumed in wildland fires in the United States. Environ. Sci.: Atmos. 2, 182–191 (2022).

    Google Scholar 

  45. Navinya, C. et al. Brownness of organics in anthropogenic biomass burning aerosols over South Asia. Atmos. Chem. Phys. 24, 13285–13297 (2024).

    Google Scholar 

  46. Debbarma, S., Raparthi, N., Venkataraman, C. & Phuleria, H. C. Characterization and apportionment of carbonaceous aerosol emission factors from light-duty and heavy-duty vehicle fleets in Maharashtra, India. Environ. Pollut. 345, 123479 (2024).

    Google Scholar 

  47. Lei, Y. et al. Characterization of water−soluble brown carbon in atmospheric fine particles over Xi’an, China: Implication of aqueous brown carbon formation from biomass burning. Sci. Total Environ. 881, 163442 (2023).

    Google Scholar 

  48. Drinovec, L. et al. The “dual-spot” Aethalometer: an improved measurement of aerosol black carbon with real-time loading compensation. Atmos. Meas. Tech. 8, 1965–1979 (2015).

    Google Scholar 

  49. Yus-Díez, J. et al. Absorption enhancement of black carbon particles in a Mediterranean city and countryside: effect of particulate matter chemistry, ageing and trend analysis. Atmos. Chem. Phys. 22, 8439–8456 (2022).

    Google Scholar 

  50. Liakakou, E. et al. Long-term variability, source apportionment and spectral properties of black carbon at an urban background site in Athens, Greece. Atmos. Environ. 222, 117137 (2020).

    Google Scholar 

  51. Lu, Z. et al. Light absorption properties and radiative effects of primary organic aerosol emissions. Environ. Sci. Technol. 49, 4868–4877 (2015).

    Google Scholar 

  52. McClure, C. D. et al. Biomass-burning-derived particles from a wide variety of fuels – Part 1: Properties of primary particles. Atmos. Chem. Phys. 20, 1531–1547 (2020).

    Google Scholar 

  53. Luo, B. et al. Parameterizations of size distribution and refractive index of biomass burning organic aerosol with black carbon content. Atmos. Chem. Phys. 22, 12401–12415 (2022).

    Google Scholar 

  54. Carter, T. S. et al. Investigating carbonaceous aerosol and its absorption properties from fires in the western United States and southern Africa. J. Geophys. Res. Atmos. 126, e2021JD034984 (2021).

    Google Scholar 

  55. Chen, G. et al. European aerosol phenomenology – 8: harmonised source apportionment of organic aerosol. Environ. Int. 166, 107325 (2022).

    Google Scholar 

  56. Paisi, N. et al. Modeling of carbonaceous aerosols for air pollution health impact studies in Europe. Air Qual. Atmos. Health 17, 2091–2104 (2023).

    Google Scholar 

  57. Di Lorenzo, R. A. et al. Molecular-size-separated brown carbon absorption for biomass-burning aerosol at multiple field sites. Environ. Sci. Technol. 51, 3128–3137 (2017).

    Google Scholar 

  58. Lin, P. et al. Molecular characterization of brown carbon in biomass burning aerosol particles. Environ. Sci. Technol. 50, 11815–11824 (2016).

    Google Scholar 

  59. Sun, J. et al. Emission factors and light absorption properties of brown carbon from household coal combustion in China. Atmos. Chem. Phys. 17, 4769–4780 (2017).

    Google Scholar 

  60. Diapouli, E. et al. PM2.5 source apportionment and implications for particle hygroscopicity at an urban background site in Athens, Greece. Atmosphere 13, 1685 (2022).

    Google Scholar 

  61. Manousakas, M. et al. Source identification of the elemental fraction of particulate matter using size segregated, highly time-resolved data and an optimized source apportionment approach. Atmos. Environ.: X 14, 100165 (2022).

    Google Scholar 

  62. Xie, M., Shen, G., Holder, A. L., Hays, M. D. & Jetter, J. J. Light absorption of organic carbon emitted from burning wood, charcoal, and kerosene in household cookstoves. Environ. Pollut. 240, 60–67 (2018).

    Google Scholar 

  63. Zhong, M. & Jang, M. Dynamic light absorption of biomass-burning organic carbon photochemically aged under natural sunlight. Atmos. Chem. Phys. 14, 1517–1525 (2014).

    Google Scholar 

  64. Favez, O., Cachier, H., Sciare, J., Sarda-Estève, R. & Martinon, L. Evidence for a significant contribution of wood burning aerosols to PM2.5 during the winter season in Paris, France. Atmos. Environ. 43, 3640–3644 (2009).

    Google Scholar 

  65. Tang, J. et al. Molecular compositions and optical properties of dissolved brown carbon in biomass burning, coal combustion, and vehicle emission aerosols illuminated by excitation–emission matrix spectroscopy and Fourier transform ion cyclotron resonance mass spectrometry analysis. Atmos. Chem. Phys. 20, 2513–2532 (2020).

    Google Scholar 

  66. Islam, M. M., Neyestani, S. E., Saleh, R. & Grieshop, A. P. Quantifying brown carbon light absorption in real-world biofuel combustion emissions. Aerosol Sci. Technol. 56, 502–516 (2022).

    Google Scholar 

  67. Wiedenhaus, H. et al. Modelling anthropogenic aerosol sources and secondary organic aerosol formation: a wintertime study in central Europe. Atmos. Chem. Phys. 25, 12893–12922 (2025).

    Google Scholar 

  68. Lin et al. Wintertime aerosol dominated by solid-fuel-burning emissions across Ireland: insight into the spatial and chemical variation in submicron aerosol. Atmos. Chem. Phys. 19, 14091–14106 (2019).

    Google Scholar 

  69. Yus-Díez, J. et al. Characterization of filter photometer artifacts in soot and dust measurements – laboratory and ambient experiments using a traceably calibrated aerosol absorption reference. Atmos. Meas. Tech. 18, 3073–3093 (2025).

    Google Scholar 

  70. Kaskaoutis, D. G. et al. Impact of peri-urban forest fires on air quality and aerosol optical and chemical properties: the case of the August 2021 wildfires in Athens, Greece. Sci. Total Environ. 907, 168028 (2024).

    Google Scholar 

  71. Heald, C. L. et al. A simplified description of the evolution of organic aerosol composition in the atmosphere. Geophys. Res. Lett. 37, L08801 (2010).

    Google Scholar 

  72. Shen, Y. et al. Understanding the mechanism and importance of brown carbon bleaching across the visible spectrum in biomass burning plumes from the WE-CAN campaign. Atmos. Chem. Phys. 24, 12881–12901 (2024).

    Google Scholar 

  73. Cheng, Z., Atwi, K., Onyima, T. & Saleh, R. Investigating the dependence of light-absorption properties of combustion carbonaceous aerosols on combustion conditions. Aerosol Sci. Technol. 53, 419–434 (2019).

    Google Scholar 

  74. Saleh, R. et al. Absorptivity of brown carbon in fresh and photo-chemically aged biomass-burning emissions. Atmos. Chem. Phys. 13, 7683–7693 (2013).

    Google Scholar 

  75. Canals-Angerri, A. et al. Causes of the unremitting high ambient levels of PM10 in a suburban background site in NE Spain. Environ. Pollut. 363, 125113 (2024).

    Google Scholar 

  76. Stavroulas, I. et al. Sources and processes that control the submicron organic aerosol composition in an urban Mediterranean environment (Athens): A high temporal-resolution chemical composition measurement study. Atmos. Chem. Phys. 19, 901–919 (2019).

    Google Scholar 

  77. COLOSSAL. Guidelines for comparison of ACSM measurements with co-located external data. http://www.actris-ecac.eu/pmc-non-refractory-organics-and-inorganics.html%0A (2021).

  78. Müller, T. & Fiebig, M. ACTRIS in situ aerosol: guidelines for manual QC of AE33 absorption photometer data. https://www.actris-ecac.eu/ (2018).

  79. 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, 108553 (2024).

    Google Scholar 

  80. Savadkoohi, M. et al. The variability of mass concentrations and source apportionment analysis of equivalent black carbon across urban Europe. Environ. Int. 178, 108081 (2023).

    Google Scholar 

  81. Yus-Díez, J. et al. Determination of the multiple-scattering correction factor and its cross-sensitivity to scattering and wavelength dependence for different AE33 Aethalometer filter tapes: a multi-instrumental approach. Atmos. Chem. Phys. 14, 6335–6355 (2021).

    Google Scholar 

  82. Ferrero, L. et al. Consistent determination of the heating rate of light-absorbing aerosol using wavelength- and time-dependent Aethalometer multiple-scattering correction. Sci. Total Environ. 791, 148277–148277 (2021).

    Google Scholar 

  83. Ferrero, L. et al. Determining the Aethalometer multiple scattering enhancement factor C from the filter loading parameter. Sci. Total Environ. 917, 170221 (2024).

    Google Scholar 

  84. Zhao, G. et al. Evaluation and correction of the ambient particle spectral light absorption measured using a filter-based aethalometer. Aerosol Air Qual. Res. 20, 1833–1841 (2020).

    Google Scholar 

  85. Di Biagio, C. et al. Global scale variability of the mineral dust long-wave refractive index: a new dataset of in situ measurements for climate modeling and remote sensing. Atmos. Chem. Phys. 17, 1901–1929 (2017).

    Google Scholar 

  86. Drinovec, L. et al. A dual-wavelength photothermal aerosol absorption monitor: design, calibration and performance. Atmos. Meas. Tech. 15, 3805–3825 (2022).

    Google Scholar 

  87. Savadkoohi, M. et al. Addressing the advantages and limitations of using Aethalometer data to determine the optimal absorption Ångström exponents (AAEs) values for eBC source apportionment. Atmos. Environ. 349, 121121 (2025).

    Google Scholar 

  88. Tobler, A. K. et al. Characterization of non-refractory (NR) PM1 and source apportionment of organic aerosol in Kraków, Poland. Atmos. Chem. Phys. 21, 14893–14906 (2021).

    Google Scholar 

  89. Zotter, P. et al. Evaluation of the absorption Ångstrom exponents for traffic and wood burning in the Aethalometer-based source apportionment using radiocarbon measurements of ambient aerosol. Atmos. Chem. Phys. 17, 4229–4249 (2017).

    Google Scholar 

  90. Blanco-Alegre, C. et al. Aethalometer measurements in a road tunnel: A step forward in the characterization of black carbon emissions from traffic. Sci. Total Environ. 703, 135483 (2020).

    Google Scholar 

  91. Tian, J. et al. Impacts of biomass burning and photochemical processing on the light absorption of brown carbon in the southeastern Tibetan Plateau. Atmos. Chem. Phys. 23, 1879–1892 (2023).

    Google Scholar 

  92. Velazquez-Garcia, A., de Brito, J. F., Crumeyrolle, S., Chiapello, I. & Riffault, V. Assessment of light-absorbing carbonaceous aerosol origins and properties at the ATOLL site in northern France. Aerosol Res. 2, 107–122 (2024).

    Google Scholar 

  93. Di Antonio, L. et al. Aerosol spectral optical properties in the Paris urban area and its peri-urban and forested surroundings during summer 2022 from ACROSS surface observations. Atmos. Chem. Phys. 25, 3161–3189 (2025).

    Google Scholar 

  94. Fialho, P., Hansen, A. D. A. & Honrath, R. E. Absorption coefficients by aerosols in remote areas: a new approach to decouple dust and black carbon absorption coefficients using seven-wavelength Aethalometer data. J. Aerosol Sci. 36, 267–282 (2005).

    Google Scholar 

  95. Pandolfi, M., Ripoll, A., Querol, X. & Alastuey, A. Climatology of aerosol optical properties and black carbon mass absorption cross section at a remote high-altitude site in the western Mediterranean Basin. Atmos. Chem. Phys. 14, 6443–6460 (2014).

    Google Scholar 

  96. Bukowiecki, N. et al. A review of more than 20 years of aerosol observation at the high altitude research station Jungfraujoch, Switzerland (3580 m asl). Aerosol Air Qual. Res. 16, 764–788 (2016).

    Google Scholar 

  97. Ripoll, A. et al. Three years of aerosol mass, black carbon and particle number concentrations at Montsec (southern Pyrenees, 1570 m a.s.l.). Atmos. Chem. Phys. 14, 4279–4295 (2014).

    Google Scholar 

  98. Drinovec, L. et al. A new optical-based technique for real-time measurements of mineral dust concentration in PM10 using a virtual impactor. Atmos. Meas. Tech. 13, 3799–3813 (2020).

    Google Scholar 

  99. Kuwata, M., Zorn, S. R. & Martin, S. T. Using elemental ratios to predict the density of organic material composed of carbon, hydrogen, and oxygen. Environ. Sci. Technol. 46, 787–794 (2011).

    Google Scholar 

  100. Canagaratna, M. R. et al. Elemental ratio measurements of organic compounds using aerosol mass spectrometry. Atmos. Chem. Phys. 15, 253–272 (2015).

    Google Scholar 

  101. Poulain, L. et al. Multi-year ACSM measurements at the central European research station Melpitz (Germany) – Part 1: instrument robustness, quality assurance, and impact of upper size cutoff diameter. Atmos. Meas. Tech. 13, 4973–4994 (2020).

    Google Scholar 

  102. Crenn, V. et al. ACTRIS ACSM intercomparison – Part 1: reproducibility of concentration and fragment results from 13 individual Quadrupole Aerosol Chemical Speciation Monitors (Q-ACSM) and consistency with co-located instruments. Atmos. Meas. Tech. 8, 5063–5087 (2015).

    Google Scholar 

  103. Cavalli, F., Viana, M., Yttri, K. E., Genberg, J. & Putaud, J.-P. Toward a standardised thermal-optical protocol for measuring atmospheric organic and elemental carbon: the EUSAAR protocol. Atmos. Meas. Tech. 3, 79–89 (2010).

    Google Scholar 

  104. DeCarlo, P. F. et al. Field-deployable, high-resolution, time-of-flight aerosol mass spectrometer. Analytical Chem 78, 8281–8289 (2006).

    Google Scholar 

  105. Ng, N. L. et al. An Aerosol Chemical Speciation Monitor (ACSM) for routine monitoring of the composition and mass concentrations of ambient aerosol. Aerosol Sci. Technol. 45, 780–794 (2011).

    Google Scholar 

  106. Fröhlich, R. et al. The ToF-ACSM: a portable aerosol chemical speciation monitor with TOFMS detection. Atmos. Meas. Tech. 6, 3225–3241 (2013).

    Google Scholar 

  107. Lhotka, R. et al. Influence of meteorological conditions and seasonality on PM1 and organic aerosol sources at a rural background site. Atmos. Environ. 344, 121028 (2025).

    Google Scholar 

  108. Lim, S. et al. Ionic and carbonaceous compositions of PM10, PM2.5 and PM1.0 at Gosan ABC superstation and their ratios as source signature. Atmos. Chem. Phys. 12, 2007–2024 (2012).

    Google Scholar 

  109. Zhao, T. et al. Chemical characteristics of PM1/PM2.5 and influence on visual range at the summit of Mount Tai, North China. Sci. Total Environ. 575, 458–466 (2017).

    Google Scholar 

  110. Lang, J. et al. Chemical characteristics and sources of submicron particles in a city with heavy pollution in China. Atmosphere 9, 388 (2018).

    Google Scholar 

  111. Zhang, X. et al. Carbonaceous aerosols in PM1, PM2.5, and PM10 size fractions over the Lanzhou City, Northwest China. Atmosphere 11, 1368–1368 (2020).

    Google Scholar 

  112. Khan, J. Z., Sun, L., Tian, Y., Shi, G. & Feng, Y. Chemical characterization and source apportionment of PM1 and PM2.5 in Tianjin, China: Impacts of biomass burning and primary biogenic sources. J. Environ. Sci. 99, 196–209 (2021).

    Google Scholar 

  113. Kwon, S. et al. Relationship between PM1.0 and PM2.5 in urban and background areas of Republic of Korea. Atmos. Pollut. Res. 14, 101858 (2023).

    Google Scholar 

  114. Deng, J. et al. Measurement report: Optical properties and sources of water-soluble brown carbon in Tianjin, North China – insights from organic molecular compositions. Atmos. Chem. Phys. 22, 6449–6470 (2022).

    Google Scholar 

  115. Devaprasad, M. et al. Dual carbon isotope-based brown carbon aerosol characteristics at a high-altitude site in the northeastern Himalayas: role of biomass burning. Sci. Total Environ. 912, 169451 (2024).

    Google Scholar 

  116. Liu, J. B. et al. Size-resolved measurements of brown carbon in water and methanol extracts and estimates of their contribution to ambient fine-particle light absorption. Atmos. Chem. Phys. 13, 12389–12404 (2013).

    Google Scholar 

  117. Shamjad, P. M., Satish, R. V., Thamban, N. M., Rastogi, N. & Tripathi, S. N. Absorbing refractive index and direct radiative forcing of atmospheric brown carbon over Gangetic Plain. ACS Earth Space Chem 2, 31–37 (2017).

    Google Scholar 

  118. Zeng, L. et al. Global measurements of brown carbon and estimated direct radiative effects. Geophys. Res. Lett. 47, e2020GL088747 (2020).

    Google Scholar 

  119. Platt, S. M. et al. Monitoring of greenhouse gases and aerosols at Svalbard and Birkenes in 2022. Annual report. (NILU report 24/2023) (Norwegian Environment Agency, 2023).

Download references

Acknowledgements

This work was supported by the Spanish Ministry of Economy, Industry and Competitiveness and I + D + I “Retos Colaboración” funds under the CAIAC project (PID2019−108990PB−100), by the EU HORIZON-EUROPE project FOCI under grant agreement n° 101056783, by the Horizon 2020 RI-URBANS project (contract 101036245). IDAEA acknowledges support by the Generalitat de Catalunya, (DTER, DGQA and AGAUR 2021 SGR47) and the European Commission via ACTRIS-IMP (project 871115). We acknowledge support of the COST Action CA16109 COLOSSAL. G.M. and A.G. acknowledges support from the Slovenian Research Agency program P1-0385 “Remote sensing of atmospheric properties” and projects V1-2373, L1-4386, L2-4485. J.Y.D., M.V., and I.S. are supported by the European Union’s Horizon Europe research and innovation program under the Marie Skłodowska-Curie Postdoctoral Fellowship Programme, SMASH is co-funded by the Republic of Slovenia and the European Union from the European Regional Development Fund under the grant agreement No. 101081355. Finnish Meteorological gratefully acknowledges funding from Academy of Finland via the project Black and Brown Carbon in the Atmosphere and the Cryosphere (BBrCAC) (decision nr. 341271). University of Helsinki acknowledges support of Research Council of Finland via Atmosphere and Climate Competence Center (337549, 357902, 359340), INAR RI (345510, 358647, 367739). Irish datasets were supported by the EPA-Ireland (AEROSOURCE), the Department of Environment, Climate and Communications and Taighde Éireann—Research Ireland under Grant number [22/FFP-A/10611]. INOE acknowledges support of Core Program within the Romanian National Research Development and Innovation Plan 2022-2027, carried out with the support of MCID, project no. PN 23 05. Multi-wavelength absorption data for Birkenes Observatory is obtained as part of the Norwegian national monitoring programme119 and is funded by the Norwegian Environment Agency (Contract No. 21087006). ATOLL measurements have been supported by the Labex CaPPA project, which is funded by the French National Research Agency (ANR) through the PIA (Programme d’Investissement d’Avenir) under contract ANR-11-LABX-0005-01; the CLIMIBIO and ECRIN projects, all financed by the Regional Council “Hauts-de-France” and the European Regional Development Fund (ERDF); and the French Ministry of Environment through the CARA program of the Laboratoire Central de Surveillance de la Qualité de l’Air (LCSQA). Institute of Chemical Process Fundamentals (CAS) and Global Change Research Institute (CAS) acknowledge support of the Ministry of Education, Youth and Sports of the Czech Republic within the Large Research Infrastructure Support Project, ACTRIS—Participation of the Czech Republic (ACTRIS-CZ LM2023030).

Author information

Authors and Affiliations

  1. Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain

    Jordi Rovira, Anna Canals-Angerri, María Cruz Minguillón, Noemí Pérez, Andrés Alastuey, Xavier Querol & Marco Pandolfi

  2. Department of Applied Physics-Meteorology, Universitat de Barcelona, Barcelona, Spain

    Jordi Rovira

  3. Center for Atmospheric Research, University of Nova Gorica, Ajdovščina, Slovenia

    Jesús Yus-Díez, Griša Močnik, Asta Gregorič, Iasonas Stavroulas & Marta Via

  4. Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, London, UK

    Gang I. Chen

  5. Haze Instruments d.o.o., Ljubljana, Slovenia

    Griša Močnik

  6. Department of Environmental Sciences, Jozef Stefan Institute, Ljubljana, Slovenia

    Griša Močnik

  7. PSI Center for Energy and Environmental Sciences, Villigen PSI, Switzerland

    Martin Gysel-Beer, Benjamin T. Brem, Benjamin Chazeau, Kaspar R. Daellenbach, Manousos Ioannis Manousakas, André S. H. Prévôt & Anna Tobler

  8. NILU, Kjeller, Norway

    Wenche Aas, Stephen M. Platt & Karl Espen Yttri

  9. Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland

    Minna Aurela, John Backman, Antti Hyvärinen, Krista Luoma, Kimmo Teinilä & Hilkka Timonen

  10. Institute for Atmospheric and Earth System Research/Physics (INAR), Faculty of Science, University of Helsinki, Helsinki, Finland

    Sujai Banerji, Mikael Ehn, Liine Heikkinen, Krista Luoma & Tuukka Petäjä

  11. Aix Marseille Univ., CNRS LCE, Marseille, France

    Benjamin Chazeau & Nicolas Marchand

  12. IMT Nord Europe, Centre for Energy and Environment, Douai, France

    Joel F. de Brito & Véronique Riffault

  13. ENRACT, Institute of Nuclear and Radiological Science & Technology, Energy & Safety, National Centre for Scientific Research “Demokritos”, Athens, Greece

    Evangelia Diapouli, Konstantinos Eleftheriadis, Maria I. Gini, Konstantinos Granakis, Stergios Vratolis & Olga Zografou

  14. Institut National de l’Environnement Industriel et des Risques (INERIS), Verneuil-en-Halatte, France

    Olivier Favez

  15. German Meteorological Service (DWD), Observatory Hohenpeissenberg, Hohenpeissenberg, Germany

    Harald Flentje

  16. Aerosol d.o.o., Ljubljana, Slovenia

    Asta Gregorič, Matic Ivančič & Martin Rigler

  17. School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, UK

    Roy Harrison

  18. Laboratory for Air Pollution and Environmental Technology, Swiss Federal Laboratories for Materials Science and Technology (Empa), Duebendorf, Switzerland

    Christoph Hueglin

  19. Estonian Environmental Research Centre, Air Quality Management Department, Tallinn, Estonia

    Hannes Keernik, Marek Maasikmets & Erik Teinemaa

  20. Institute of Physics, University of Tartu, Tartu, Estonia

    Hannes Keernik

  21. Institute for Environmental Research & Sustainable Development, National Observatory of Athens, Athens, Greece

    Eleni Liakakou & Nikos Mihalopoulos

  22. School of Natural Sciences, Physics, Centre for Climate and Air Pollution Studies, Ryan Institute, University of Galway, University Road, Galway, Ireland

    Chunshui Lin & Jurgita Ovadnevaite

  23. Institute of Chemical Process Fundamentals of the Czech Academy of Sciences, Prague, Czechia

    Radek Lhotka, Petra Pokorná, Jaroslav Schwarz, Petr Vodička & Naděžda Zíková

  24. Helsinki Region Environmental Services Authority (HSY), Helsinki, Finland

    Hanna E. Manninen & Jarkko V. Niemi

  25. Global Change Research Institute, Czech Academy of Sciences, Brno, Czechia

    Saliou Mbengue

  26. National Institute of Research and Development for Optoelectronics INOE, Magurele, Romania

    Doina Nicolae & Jeni Vasilescu

  27. Laboratoire des Sciences du Climat et de l’Environnement, CEA/Orme des Merisiers, Gif-sur-Yvette, France

    Jean-Eudes Petit

  28. Institute of Atmospheric Sciences and Climate (ISAC), National Research Council (CNR), Bologna, Italy

    Matteo Rinaldi

  29. Aerosol Physics Laboratory, Faculty of Engineering and Natural Sciences, Tampere University, Tampere University, Tampere, Finland

    Hilkka Timonen

  30. Datalystica Ltd., Villigen, Switzerland

    Anna Tobler

Authors
  1. Jordi Rovira
    View author publications

    Search author on:PubMed Google Scholar

  2. Jesús Yus-Díez
    View author publications

    Search author on:PubMed Google Scholar

  3. Gang I. Chen
    View author publications

    Search author on:PubMed Google Scholar

  4. Griša Močnik
    View author publications

    Search author on:PubMed Google Scholar

  5. Martin Gysel-Beer
    View author publications

    Search author on:PubMed Google Scholar

  6. Wenche Aas
    View author publications

    Search author on:PubMed Google Scholar

  7. Minna Aurela
    View author publications

    Search author on:PubMed Google Scholar

  8. John Backman
    View author publications

    Search author on:PubMed Google Scholar

  9. Sujai Banerji
    View author publications

    Search author on:PubMed Google Scholar

  10. Benjamin T. Brem
    View author publications

    Search author on:PubMed Google Scholar

  11. Anna Canals-Angerri
    View author publications

    Search author on:PubMed Google Scholar

  12. Benjamin Chazeau
    View author publications

    Search author on:PubMed Google Scholar

  13. Kaspar R. Daellenbach
    View author publications

    Search author on:PubMed Google Scholar

  14. Joel F. de Brito
    View author publications

    Search author on:PubMed Google Scholar

  15. Evangelia Diapouli
    View author publications

    Search author on:PubMed Google Scholar

  16. Konstantinos Eleftheriadis
    View author publications

    Search author on:PubMed Google Scholar

  17. Mikael Ehn
    View author publications

    Search author on:PubMed Google Scholar

  18. Olivier Favez
    View author publications

    Search author on:PubMed Google Scholar

  19. Harald Flentje
    View author publications

    Search author on:PubMed Google Scholar

  20. Maria I. Gini
    View author publications

    Search author on:PubMed Google Scholar

  21. Konstantinos Granakis
    View author publications

    Search author on:PubMed Google Scholar

  22. Asta Gregorič
    View author publications

    Search author on:PubMed Google Scholar

  23. Roy Harrison
    View author publications

    Search author on:PubMed Google Scholar

  24. Liine Heikkinen
    View author publications

    Search author on:PubMed Google Scholar

  25. Christoph Hueglin
    View author publications

    Search author on:PubMed Google Scholar

  26. Antti Hyvärinen
    View author publications

    Search author on:PubMed Google Scholar

  27. Matic Ivančič
    View author publications

    Search author on:PubMed Google Scholar

  28. Hannes Keernik
    View author publications

    Search author on:PubMed Google Scholar

  29. Eleni Liakakou
    View author publications

    Search author on:PubMed Google Scholar

  30. Chunshui Lin
    View author publications

    Search author on:PubMed Google Scholar

  31. Radek Lhotka
    View author publications

    Search author on:PubMed Google Scholar

  32. Krista Luoma
    View author publications

    Search author on:PubMed Google Scholar

  33. Marek Maasikmets
    View author publications

    Search author on:PubMed Google Scholar

  34. Hanna E. Manninen
    View author publications

    Search author on:PubMed Google Scholar

  35. Manousos Ioannis Manousakas
    View author publications

    Search author on:PubMed Google Scholar

  36. Nicolas Marchand
    View author publications

    Search author on:PubMed Google Scholar

  37. Saliou Mbengue
    View author publications

    Search author on:PubMed Google Scholar

  38. Nikos Mihalopoulos
    View author publications

    Search author on:PubMed Google Scholar

  39. María Cruz Minguillón
    View author publications

    Search author on:PubMed Google Scholar

  40. Doina Nicolae
    View author publications

    Search author on:PubMed Google Scholar

  41. Jarkko V. Niemi
    View author publications

    Search author on:PubMed Google Scholar

  42. Jurgita Ovadnevaite
    View author publications

    Search author on:PubMed Google Scholar

  43. Noemí Pérez
    View author publications

    Search author on:PubMed Google Scholar

  44. Jean-Eudes Petit
    View author publications

    Search author on:PubMed Google Scholar

  45. Stephen M. Platt
    View author publications

    Search author on:PubMed Google Scholar

  46. Petra Pokorná
    View author publications

    Search author on:PubMed Google Scholar

  47. André S. H. Prévôt
    View author publications

    Search author on:PubMed Google Scholar

  48. Véronique Riffault
    View author publications

    Search author on:PubMed Google Scholar

  49. Martin Rigler
    View author publications

    Search author on:PubMed Google Scholar

  50. Matteo Rinaldi
    View author publications

    Search author on:PubMed Google Scholar

  51. Jaroslav Schwarz
    View author publications

    Search author on:PubMed Google Scholar

  52. Iasonas Stavroulas
    View author publications

    Search author on:PubMed Google Scholar

  53. Erik Teinemaa
    View author publications

    Search author on:PubMed Google Scholar

  54. Kimmo Teinilä
    View author publications

    Search author on:PubMed Google Scholar

  55. Hilkka Timonen
    View author publications

    Search author on:PubMed Google Scholar

  56. Anna Tobler
    View author publications

    Search author on:PubMed Google Scholar

  57. Jeni Vasilescu
    View author publications

    Search author on:PubMed Google Scholar

  58. Marta Via
    View author publications

    Search author on:PubMed Google Scholar

  59. Petr Vodička
    View author publications

    Search author on:PubMed Google Scholar

  60. Stergios Vratolis
    View author publications

    Search author on:PubMed Google Scholar

  61. Karl Espen Yttri
    View author publications

    Search author on:PubMed Google Scholar

  62. Naděžda Zíková
    View author publications

    Search author on:PubMed Google Scholar

  63. Olga Zografou
    View author publications

    Search author on:PubMed Google Scholar

  64. Andrés Alastuey
    View author publications

    Search author on:PubMed Google Scholar

  65. Tuukka Petäjä
    View author publications

    Search author on:PubMed Google Scholar

  66. Xavier Querol
    View author publications

    Search author on:PubMed Google Scholar

  67. Marco Pandolfi
    View author publications

    Search author on:PubMed Google Scholar

Contributions

J.R. led data curation, formal analysis, investigation, visualization, and wrote the original draft. J.Y.D. and M.P. contributed to conceptualization, methodology, and validation. M.P. also contributed to resources, supervision, and funding acquisition, and co-wrote the original draft. J.Y.D. contributed to supervision. Data curation was performed by J.R., G.I.C., G.M., M.G.B., W.A., M.A., J.B., S.B., B.T.B., A.C.A., B.C., K.R.D., J.F.d.B., E.D., K.E., M.E., O.F., H.F., M.I.G., A.G., R.H., L.H., C.H., A.H., M.I., H.K., G.K., E.L., C.L., R.L., K.L., M.M., H.E.M., M.I.M., N.Ma., S.M., N.Mi., M.C.M., J.V.N., J.O., N.P., J.E.P., S.M.P., P.P., A.S.H.P., V.R., M.R., M.R., J.S., I.S., E.T., K.T., H.T., A.T., J.V., M.V., P.V., S.V., K.E.Y., N.Z., O.Z., A.A., T.P., and X.Q. Methodology development involved J.Y.D., M.G.B., and M.P. Validation was carried out by J.Y.D. and M.P. Funding acquisition was obtained by D.N., J.O., A.A., T.P., X.Q., and M.P. Writing—review and editing was performed by all authors.

Corresponding authors

Correspondence to Jordi Rovira, Jesús Yus-Díez or Marco Pandolfi.

Ethics declarations

Competing interests

A.G., M.I. and M.R. are employed by the manufacturer of the instruments used in this study. The other authors have no competing interests.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information (download PDF )

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rovira, J., Yus-Díez, J., Chen, G.I. et al. Constraining the intensive absorption properties of ambient organic aerosol particles based on pan-European observations. npj Clim Atmos Sci (2026). https://doi.org/10.1038/s41612-026-01405-9

Download citation

  • Received: 16 December 2025

  • Accepted: 25 March 2026

  • Published: 10 April 2026

  • DOI: https://doi.org/10.1038/s41612-026-01405-9

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Download PDF

Associated content

Collection

Sensors in Atmospheric Composition and Concentration Measurements

Advertisement

Explore content

  • Research articles
  • Reviews & Analysis
  • News & Comment
  • Collections
  • Follow us on X
  • Sign up for alerts
  • RSS feed

About the journal

  • Aims & Scope
  • Content types
  • Journal Information
  • About the Editors
  • Open Access
  • Contact
  • Calls for Papers
  • Article Processing Charges
  • Editorial policies
  • Journal Metrics
  • About the Partner

Publish with us

  • For Authors and Referees
  • Language editing services
  • Open access funding
  • Submit manuscript

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

npj Climate and Atmospheric Science (npj Clim Atmos Sci)

ISSN 2397-3722 (online)

nature.com footer links

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2026 Springer Nature Limited

Nature Briefing Anthropocene

Sign up for the Nature Briefing: Anthropocene newsletter — what matters in anthropocene research, free to your inbox weekly.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing: Anthropocene