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全球土壤一氧化二氮、海盐气溶胶和生物源挥发性有机化合物的高分辨率排放。

Global high-resolution emissions of soil NO, sea salt aerosols, and biogenic volatile organic compounds.

机构信息

Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, 100871, China.

Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, 63130, MO, USA.

出版信息

Sci Data. 2020 May 20;7(1):148. doi: 10.1038/s41597-020-0488-5.

DOI:10.1038/s41597-020-0488-5
PMID:32433468
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7239948/
Abstract

Natural emissions of air pollutants from the surface play major roles in air quality and climate change. In particular, nitrogen oxides (NO) emitted from soils contribute ~15% of global NO emissions, sea salt aerosols are a major player in the climate and chemistry of the marine atmosphere, and biogenic emissions are the dominant source of non-methane volatile organic compounds at the global scale. These natural emissions are often estimated using nonlinear parameterizations, which are sensitive to the horizontal resolutions of inputted meteorological and ancillary data. Here we use the HEMCO model to compute these emissions worldwide at horizontal resolutions of 0.5° lat. × 0.625° lon. for 1980-2017 and 0.25° lat. × 0.3125° lon. for 2014-2017. We further offer the respective emissions at lower resolutions, which can be used to evaluate the impacts of resolution on estimated global and regional emissions. Our long-term high-resolution emission datasets offer useful information to study natural pollution sources and their impacts on air quality, climate, and the carbon cycle.

摘要

自然排放的空气污染物从地表在空气质量和气候变化中扮演着重要的角色。特别是,土壤排放的氮氧化物(NO)贡献了全球 NO 排放的~15%,海盐气溶胶是海洋大气气候和化学的主要参与者,而生物源排放是在全球范围内非甲烷挥发性有机化合物的主要来源。这些自然排放通常使用非线性参数化进行估算,这对输入气象和辅助数据的水平分辨率敏感。在这里,我们使用 HEMCO 模型在 1980-2017 年的 0.5°纬度×0.625°经度的水平分辨率和 2014-2017 年的 0.25°纬度×0.3125°经度的水平分辨率计算了全球范围内的这些排放。我们还提供了较低分辨率的相应排放,可以用于评估分辨率对估计的全球和区域排放的影响。我们的长期高分辨率排放数据集为研究自然污染源及其对空气质量、气候和碳循环的影响提供了有用的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6c5/7239948/95760a17c7d9/41597_2020_488_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6c5/7239948/131500dec945/41597_2020_488_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6c5/7239948/8a8b4067046b/41597_2020_488_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6c5/7239948/f15ce47aeaf1/41597_2020_488_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6c5/7239948/f9d1c82d7080/41597_2020_488_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6c5/7239948/9077e8722c74/41597_2020_488_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6c5/7239948/19d0db784a6f/41597_2020_488_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6c5/7239948/f1787f81c75b/41597_2020_488_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6c5/7239948/c13df383514b/41597_2020_488_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6c5/7239948/95760a17c7d9/41597_2020_488_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6c5/7239948/131500dec945/41597_2020_488_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6c5/7239948/8a8b4067046b/41597_2020_488_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6c5/7239948/f15ce47aeaf1/41597_2020_488_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6c5/7239948/f9d1c82d7080/41597_2020_488_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6c5/7239948/9077e8722c74/41597_2020_488_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6c5/7239948/19d0db784a6f/41597_2020_488_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6c5/7239948/f1787f81c75b/41597_2020_488_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6c5/7239948/c13df383514b/41597_2020_488_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6c5/7239948/95760a17c7d9/41597_2020_488_Fig9_HTML.jpg

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