Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019JD032303 |
Reply to Comment by Peng and Bi on "Retrieval of Atmospheric Fine Particulate Density Based on Merging Particle Size Distribution Measurements: Multi-instrument Observation and Quality Control at Shouxian" | |
Li, Zhengqiang1; Wei, Yuanyuan1,2; Zhang, Ying1 | |
2020-01-27 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2020 |
卷号 | 125期号:2 |
文章类型 | Editorial Material |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | This is a reply to the comment of Peng and Bi (2019) on the paper of Li et al. (2018, https://doi. org/10.1029/2018JD028956), which introduced a method to estimate aerosol effective density (rho(e)) based on a joint use of measurements of the scanning mobility particle sizer (SMPS) and the aerodynamic particle sizer (APS). In this reply, we describe the extension of the Cunningham slip correction factor (C-c) to the expression of the rho(e) and analyzed the useful but incomplete expression of rho(e) equation on C-c in Peng and Bi (2019) resulting from neglecting aerodynamic diameter. Meanwhile, in order to estimate C-c-related error on rho(e), Peng and Bi (2019) used an unreasonable scheme and an overestimated shape factor, which leads to a large overestimation (55.5%) of the error. We modify the error budget scheme and perform a theoretical error analysis on neglecting C-c during the.e measurement in practice. The results suggest an average bias of 17.68% on rho(e) resulting from C-c. Together with other error sources presented in Li et al. (2018, https://doi.org/ 10.1029/2018JD028956), the typical uncertainty on rho(e) based on this "SMPS-APS" joint-use method is 21.06%, which is still reasonable in practice. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000521080000021 |
WOS关键词 | MOBILITY ; AEROSOL ; NUMBER ; MASS |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
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/280017 |
专题 | 气候变化 |
作者单位 | 1.Chinese Acad Sci, Aerosp Informat Res Inst, State Environm Protect Key Lab Satellite Remote S, Beijing, Peoples R China; 2.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Zhengqiang,Wei, Yuanyuan,Zhang, Ying. Reply to Comment by Peng and Bi on "Retrieval of Atmospheric Fine Particulate Density Based on Merging Particle Size Distribution Measurements: Multi-instrument Observation and Quality Control at Shouxian"[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2020,125(2). |
APA | Li, Zhengqiang,Wei, Yuanyuan,&Zhang, Ying.(2020).Reply to Comment by Peng and Bi on "Retrieval of Atmospheric Fine Particulate Density Based on Merging Particle Size Distribution Measurements: Multi-instrument Observation and Quality Control at Shouxian".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,125(2). |
MLA | Li, Zhengqiang,et al."Reply to Comment by Peng and Bi on "Retrieval of Atmospheric Fine Particulate Density Based on Merging Particle Size Distribution Measurements: Multi-instrument Observation and Quality Control at Shouxian"".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 125.2(2020). |
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