Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017GL076817 |
Spatial Representativeness Error in the Ground-Level Observation Networks for Black Carbon Radiation Absorption | |
Wang, Rong1,2,3; Andrews, Elisabeth4; Balkanski, Yves3; Boucher, Olivier5; Myhre, Gunnar6; Samset, Bjorn Hallvard6; Schulz, Michael7; Schuster, Gregory L.8; Valari, Myrto9; Tao, Shu10 | |
2018-02-28 | |
发表期刊 | GEOPHYSICAL RESEARCH LETTERS |
ISSN | 0094-8276 |
EISSN | 1944-8007 |
出版年 | 2018 |
卷号 | 45期号:4页码:2106-2114 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA; France; Norway |
英文摘要 | There is high uncertainty in the direct radiative forcing of black carbon (BC), an aerosol that strongly absorbs solar radiation. The observation-constrained estimate, which is several times larger than the bottom-up estimate, is influenced by the spatial representativeness error due to the mesoscale inhomogeneity of the aerosol fields and the relatively low resolution of global chemistry-transport models. Here we evaluated the spatial representativeness error for two widely used observational networks (AErosol RObotic NETwork and Global Atmosphere Watch) by downscaling the geospatial grid in a global model of BC aerosol absorption optical depth to 0.1 degrees x0.1 degrees. Comparing the models at a spatial resolution of 2 degrees x2 degrees with BC aerosol absorption at AErosol RObotic NETwork sites (which are commonly located near emission hot spots) tends to cause a global spatial representativeness error of 30%, as a positive bias for the current top-down estimate of global BC direct radiative forcing. By contrast, the global spatial representativeness error will be 7% for the Global Atmosphere Watch network, because the sites are located in such a way that there are almost an equal number of sites with positive or negative representativeness error. Plain Language Summary When comparing the black carbon model at a resolution of 2 degrees x 2 degrees with local measurements, the global representativeness error is 30% for AErosol RObotic NETwork sites, compared to 7% for Global Atmosphere Watch sites. It demonstrates that, in absence of high-resolution models, the current top-down estimate of black carbon direct radiative forcing is overestimated by 30%. |
英文关键词 | black carbon representativeness error AERONET GAW model resolution |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000427564300048 |
WOS关键词 | POLLUTION MONITORING NETWORK ; AEROSOL MODELS ; SIMULATIONS ; EMISSIONS ; UNCERTAINTY ; INVENTORY ; INVERSION ; AERONET ; SUN |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/26771 |
专题 | 气候变化 |
作者单位 | 1.Fudan Univ, Dept Environm Sci & Engn, Shanghai, Peoples R China; 2.Carnegie Inst Sci, Dept Global Ecol, Stanford, CA 94305 USA; 3.UVSQ, Lab Sci Climat & Environm, CNRS, CEA, Gif Sur Yvette, France; 4.Univ Colorado, CIRES, Boulder, CO 80309 USA; 5.Univ Paris 06, Inst Pierre Simon Laplace, CNRS, Paris, France; 6.CICERO Ctr Int Climate & Environm Res, Oslo, Norway; 7.Norwegian Meteorol Inst, Oslo, Norway; 8.NASA, Langley Res Ctr, Hampton, VA 23665 USA; 9.Ecole Polytech, CNRS, IPSL, Lab Meteorol Dynam, Palaiseau, France; 10.Peking Univ, Coll Urban & Environm Sci, Lab Earth Surface Proc, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Rong,Andrews, Elisabeth,Balkanski, Yves,et al. Spatial Representativeness Error in the Ground-Level Observation Networks for Black Carbon Radiation Absorption[J]. GEOPHYSICAL RESEARCH LETTERS,2018,45(4):2106-2114. |
APA | Wang, Rong.,Andrews, Elisabeth.,Balkanski, Yves.,Boucher, Olivier.,Myhre, Gunnar.,...&Tao, Shu.(2018).Spatial Representativeness Error in the Ground-Level Observation Networks for Black Carbon Radiation Absorption.GEOPHYSICAL RESEARCH LETTERS,45(4),2106-2114. |
MLA | Wang, Rong,et al."Spatial Representativeness Error in the Ground-Level Observation Networks for Black Carbon Radiation Absorption".GEOPHYSICAL RESEARCH LETTERS 45.4(2018):2106-2114. |
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