10
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Arctic warming by abundant fine sea salt aerosols from blowing snow

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The Arctic warms nearly four times faster than the global average, and aerosols play an increasingly important role in Arctic climate change. In the Arctic, sea salt is a major aerosol component in terms of mass concentration during winter and spring. However, the mechanisms of sea salt aerosol production remain unclear. Sea salt aerosols are typically thought to be relatively large in size but low in number concentration, implying that their influence on cloud condensation nuclei population and cloud properties is generally minor. Here we present observational evidence of abundant sea salt aerosol production from blowing snow in the central Arctic. Blowing snow was observed more than 20% of the time from November to April. The sublimation of blowing snow generates high concentrations of fine-mode sea salt aerosol (diameter below 300 nm), enhancing cloud condensation nuclei concentrations up to tenfold above background levels. Using a global chemical transport model, we estimate that from November to April north of 70° N, sea salt aerosol produced from blowing snow accounts for about 27.6% of the total particle number, and the sea salt aerosol increases the longwave emissivity of clouds, leading to a calculated surface warming of +2.30 W m −2 under cloudy sky conditions.

          Abstract

          Fine sea salt aerosols produced by blowing snow in the Arctic impact cloud properties and warm the surface, according to observations from the MOSAiC expedition.

          Related collections

          Most cited references72

          • Record: found
          • Abstract: found
          • Article: not found

          The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)

          The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) is the latest atmospheric reanalysis of the modern satellite era produced by NASA’s Global Modeling and Assimilation Office (GMAO). MERRA-2 assimilates observation types not available to its predecessor, MERRA, and includes updates to the Goddard Earth Observing System (GEOS) model and analysis scheme so as to provide a viable ongoing climate analysis beyond MERRA’s terminus. While addressing known limitations of MERRA, MERRA-2 is also intended to be a development milestone for a future integrated Earth system analysis (IESA) currently under development at GMAO. This paper provides an overview of the MERRA-2 system and various performance metrics. Among the advances in MERRA-2 relevant to IESA are the assimilation of aerosol observations, several improvements to the representation of the stratosphere including ozone, and improved representations of cryospheric processes. Other improvements in the quality of MERRA-2 compared with MERRA include the reduction of some spurious trends and jumps related to changes in the observing system, and reduced biases and imbalances in aspects of the water cycle. Remaining deficiencies are also identified. Production of MERRA-2 began in June 2014 in four processing streams, and converged to a single near-real time stream in mid 2015. MERRA-2 products are accessible online through the NASA Goddard Earth Sciences Data Information Services Center (GES DISC).
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found
            Is Open Access

            Global fire emissions estimates during 1997–2016

            Climate, land use, and other anthropogenic and natural drivers have the potential to influence fire dynamics in many regions. To develop a mechanistic understanding of the changing role of these drivers and their impact on atmospheric composition, long-term fire records are needed that fuse information from different satellite and in situ data streams. Here we describe the fourth version of the Global Fire Emissions Database (GFED) and quantify global fire emissions patterns during 1997–2016. The modeling system, based on the Carnegie–Ames–Stanford Approach (CASA) biogeochemical model, has several modifications from the previous version and uses higher quality input datasets. Significant upgrades include (1) new burned area estimates with contributions from small fires, (2) a revised fuel consumption parameterization optimized using field observations, (3) modifications that improve the representation of fuel consumption in frequently burning landscapes, and (4) fire severity estimates that better represent continental differences in burning processes across boreal regions of North America and Eurasia. The new version has a higher spatial resolution (0.25°) and uses a different set of emission factors that separately resolves trace gas and aerosol emissions from temperate and boreal forest ecosystems. Global mean carbon emissions using the burned area dataset with small fires (GFED4s) were 2.2  ×  10 15  grams of carbon per year (Pg C yr −1 ) during 1997–2016, with a maximum in 1997 (3.0 Pg C yr −1 ) and minimum in 2013 (1.8 Pg C yr −1 ). These estimates were 11 % higher than our previous estimates (GFED3) during 1997–2011, when the two datasets overlapped. This net increase was the result of a substantial increase in burned area (37 %), mostly due to the inclusion of small fires, and a modest decrease in mean fuel consumption (−19 %) to better match estimates from field studies, primarily in savannas and grasslands. For trace gas and aerosol emissions, differences between GFED4s and GFED3 were often larger due to the use of revised emission factors. If small fire burned area was excluded (GFED4 without the s for small fires), average emissions were 1.5 Pg C yr −1 . The addition of small fires had the largest impact on emissions in temperate North America, Central America, Europe, and temperate Asia. This small fire layer carries substantial uncertainties; improving these estimates will require use of new burned area products derived from high-resolution satellite imagery. Our revised dataset provides an internally consistent set of burned area and emissions that may contribute to a better understanding of multi-decadal changes in fire dynamics and their impact on the Earth system. GFED data are available from http://www.globalfiredata.org .
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Mineral Dust Entrainment and Deposition (DEAD) model: Description and 1990s dust climatology

                Bookmark

                Author and article information

                Contributors
                jian@wustl.edu
                Journal
                Nat Geosci
                Nat Geosci
                Nature Geoscience
                Nature Publishing Group UK (London )
                1752-0894
                1752-0908
                4 September 2023
                4 September 2023
                2023
                : 16
                : 9
                : 768-774
                Affiliations
                [1 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, Center for Aerosol Science and Engineering, Department of Energy, Environmental and Chemical Engineering, , Washington University in St. Louis, ; St. Louis, MO USA
                [2 ]GRID grid.55602.34, ISNI 0000 0004 1936 8200, Department of Physics and Atmospheric Science, , Dalhousie University, ; Halifax, Nova Scotia Canada
                [3 ]GRID grid.8682.4, ISNI 0000000094781573, British Antarctic Survey, , Natural Environment Research Council, ; Cambridge, UK
                [4 ]GRID grid.5333.6, ISNI 0000000121839049, Extreme Environments Research Laboratory, , École Polytechnique Fédérale de Lausanne (EPFL), ; Sion, Switzerland
                [5 ]GRID grid.47894.36, ISNI 0000 0004 1936 8083, Department of Atmospheric Science, , Colorado State University, ; Fort Collins, CO USA
                [6 ]GRID grid.202665.5, ISNI 0000 0001 2188 4229, Environmental and Climate Science Department, , Brookhaven National Laboratory, ; Upton, NY USA
                [7 ]GRID grid.12391.38, ISNI 0000 0001 2289 1527, Department of Environmental Meteorology, , Trier University, ; Trier, Germany
                [8 ]GRID grid.266190.a, ISNI 0000000096214564, Cooperative Institute for Research in Environmental Sciences, , University of Colorado Boulder, ; Boulder, CO USA
                [9 ]GRID grid.3532.7, ISNI 0000 0001 1266 2261, Physical Sciences Laboratory, , NOAA, ; Boulder, CO USA
                Author information
                http://orcid.org/0000-0001-7274-0639
                http://orcid.org/0000-0001-8428-3527
                http://orcid.org/0000-0002-7009-1767
                http://orcid.org/0000-0003-0535-0416
                http://orcid.org/0000-0003-2632-8402
                http://orcid.org/0000-0001-9595-3653
                http://orcid.org/0000-0003-2001-0508
                http://orcid.org/0000-0002-2710-0699
                http://orcid.org/0000-0002-4241-838X
                http://orcid.org/0000-0002-0973-9982
                http://orcid.org/0000-0002-1048-7962
                http://orcid.org/0000-0002-2815-4170
                Article
                1254
                10.1038/s41561-023-01254-8
                10482690
                37692903
                60d61288-c4a4-4337-a186-6f06790f0574
                © The Author(s) 2023

                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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 13 October 2022
                : 21 July 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/100006206, DOE | SC | Biological and Environmental Research (BER);
                Award ID: DE-SC0020259
                Award ID: DE-SC0021017
                Award ID: DE-SC0020259
                Award ID: DE-SC0021017
                Award ID: DE-SC0022046
                Award ID: DE-SC0021208
                Award ID: DE-SC00021341
                Award ID: DE-SC0022046
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100010784, Ocean Frontier Institute (OFI);
                Funded by: FundRef https://doi.org/10.13039/501100000270, RCUK | Natural Environment Research Council (NERC);
                Award ID: NE/S00257X/1
                Award ID: NE/X009319/1
                Award ID: NE/S00257X/1
                Award ID: NE/X009319/1
                Award ID: NE/S00257X/1
                Award ID: NE/X009319/1
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100010661, EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020);
                Award ID: 101003826
                Award ID: 101003826
                Award ID: 101003826
                Award ID: 101003826
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100001711, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation);
                Award ID: 188478
                Award ID: 188478
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000085, NSF | Directorate for Geosciences (GEO);
                Award ID: OPP-1734551
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000192, United States Department of Commerce | National Oceanic and Atmospheric Administration (NOAA);
                Award ID: NA22OAR4320151
                Award Recipient :
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2023

                Geosciences
                atmospheric chemistry,cryospheric science,environmental impact,atmospheric science
                Geosciences
                atmospheric chemistry, cryospheric science, environmental impact, atmospheric science

                Comments

                Comment on this article