An improved method for retrieving aerosol optical depth using the ground-level meteorological data over the South-central Plain of Hebei Province, China
文献类型：期刊论文
| 作者 | Li, Fuxing; Zhang, Lingyun; Wei, Qiang; Yang, Yi; Han, Fang; Li, Weimiao; Zhao, Chunli ; Wang, Wei
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| 刊名 | ATMOSPHERIC POLLUTION RESEARCH
 |
| 出版日期 | 2022-03 |
| 卷号 | 13期号:3页码:101334 |
| 关键词 | PM2.5 CONCENTRATIONS ATMOSPHERIC AEROSOLS IMPACTS NETWORK CLIMATE AERONET GAPS |
| ISSN号 | 1309-1042 |
| 英文摘要 | To retrieve the aerosol optical depth (AOD) from ground-level meteorological measurements at regional scale, a new method, the revised Elterman's retrieval model (R-ERM), was developed based on the meteorological observations to retrieve the AOD. The aerosol scale height (ASH(1)) algorithm might introduce significant biases into AOD retrieval. Thus, the model enhances the AOD retrieval precision by redefining the ASH(1) algorithm. The model was evaluated and validated against the Multi-Angle Implementation of Atmospheric Correction (MAIAC) AOD data with a 1-km spatial resolution from the Moderate Resolution Imaging Spectroradiometer (MODIS) collected over the South-central Plain of Hebei Province region, China for the period of 2016-2017. Results indicate that, with the redefinition of the ASH(1) algorithm, the overall the Pearson's correlation coefficient is 0.69 in 2017 between R-ERM and MAIAC AOD, and mot mean squared error and the relative error (RE) are 0.20 and 23%, respectively. The evaluation proves that the R-ERM performs previous models, such as Elterman's retrieval model (ERM) with an overall validation R of 0.11 and Qiu's retrieval model (QRM) with an overall validation R of 0.35. The spatial patterns of the retrieved AOD after ordinary Kriging interpolation are consistent with those of the MAIAC datasets. Adding the water vapor pressure parameter significantly improved the estimation accuracy of ASH(1), which is a key factor to the AOD retrieval results. The findings from the study demonstrate the great potential and value of the R-ERM for regional AOD retrieval. |
| 源URL | [https://ir.rcees.ac.cn/handle/311016/47196]  |
| 专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100101, Peoples R China 2.Hebei Normal Univ, Hebei Technol Innovat Ctr Remote Sensing Identifi, Sch Geog Sci, Hebei Key Lab Environm Change & Ecol Construct, Shijiazhuang 050024, Hebei, Peoples R China 3.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Xinjiang, Peoples R China 4.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Fuxing,Zhang, Lingyun,Wei, Qiang,et al. An improved method for retrieving aerosol optical depth using the ground-level meteorological data over the South-central Plain of Hebei Province, China[J]. ATMOSPHERIC POLLUTION RESEARCH,2022,13(3):101334. |
| APA | Li, Fuxing.,Zhang, Lingyun.,Wei, Qiang.,Yang, Yi.,Han, Fang.,...&Wang, Wei.(2022).An improved method for retrieving aerosol optical depth using the ground-level meteorological data over the South-central Plain of Hebei Province, China.ATMOSPHERIC POLLUTION RESEARCH,13(3),101334. |
| MLA | Li, Fuxing,et al."An improved method for retrieving aerosol optical depth using the ground-level meteorological data over the South-central Plain of Hebei Province, China".ATMOSPHERIC POLLUTION RESEARCH 13.3(2022):101334. |
入库方式： OAI收割
来源：生态环境研究中心
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