中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 合肥物质科学研究院
  3. 中国科学院合肥物质科学研究院
Improved aerosol correction for OMI tropospheric NO2 retrieval over East Asia: constraint from CALIOP aerosol vertical profile

文献类型：期刊论文

作者Liu, Mengyao1,2; Lin, Jintai1; Boersma, K. Folkert2,3; Pinardi, Gaia4; Wang, Yang5; Chimot, Julien6; Wagner, Thomas5; Xie, Pinhua7,8,9; Eskes, Henk2; Van Roozendael, Michel4
刊名ATMOSPHERIC MEASUREMENT TECHNIQUES
出版日期2019-01-02
卷号12期号:1页码:1-21
ISSN号1867-1381
DOI10.5194/amt-12-1-2019
通讯作者Lin, Jintai(linjt@pku.edu.cn) ; Boersma, K. Folkert(folkert.boersma@knmi.nl)
英文摘要Satellite retrieval of vertical column densities (VCDs) of tropospheric nitrogen dioxide (NO2) is critical for NOx pollution and impact evaluation. For regions with high aerosol loadings, the retrieval accuracy is greatly affected by whether aerosol optical effects are treated implicitly (as additional "effective" clouds) or explicitly, among other factors. Our previous POMINO algorithm explicitly accounts for aerosol effects to improve the retrieval, especially in polluted situations over China, by using aerosol information from GEOS-Chem simulations with further monthly constraints by MODIS/Aqua aerosol optical depth (AOD) data. Here we present a major algorithm update, POMINO v1.1, by constructing a monthly climatological dataset of aerosol extinction profiles, based on level 2 CALIOP/CALIPSO data over 2007-2015, to better constrain the modeled aerosol vertical profiles. We find that GEOS-Chem captures the month-to-month variation in CALIOP aerosol layer height (ALH) but with a systematic underestimate by about 300-600m (season and location dependent), due to a too strong negative vertical gradient of extinction above 1 km. Correcting the model aerosol extinction profiles results in small changes in retrieved cloud fraction, increases in cloud-top pressure (within 2 %-6% in most cases), and increases in tropospheric NO2 VCD by 4 %-16% over China on a monthly basis in 2012. The improved NO2 VCDs (in POMINO v1.1) are more consistent with independent ground-based MAX-DOAS observations (R-2 = 0.80, NMB = -3.4 %, for 162 pixels in 49 days) than POMINO (R-2 = 0.80, NMB = -9.6 %), DOMINO v2 (R-2 = 0.68, NMB = -2.1 %), and QA4ECV (R-2 = 0.75, NMB = -22.0 %) are. Especially on haze days, R-2 reaches 0.76 for POMINO v1.1, much higher than that for POMINO (0.68), DOMINO v2 (0.38), and QA4ECV (0.34). Furthermore, the increase in cloud pressure likely reveals a more realistic vertical relationship between cloud and aerosol layers, with aerosols situated above the clouds in certain months instead of always below the clouds. The POMINO v1.1 algorithm is a core step towards our next public release of the data product (POMINO v2), and it will also be applied to the recently launched S5P-TROPOMI sensor.
WOS关键词MAX-DOAS OBSERVATIONS ; SURFACE REFLECTANCE ANISOTROPY ; COLUMN DENSITY RETRIEVAL ; NITROGEN-DIOXIDE ; SATELLITE RETRIEVALS ; AIR-POLLUTION ; CHINA ; CLOUD ; ALGORITHM ; EMISSIONS
资助项目National Natural Science Foundation of China[41775115] ; 973 program[2014CB441303] ; Chinese Scholarship Council ; EU FP7 QA4ECV project[607405]
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000454689700001
出版者COPERNICUS GESELLSCHAFT MBH
资助机构National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; 973 program ; 973 program ; 973 program ; 973 program ; Chinese Scholarship Council ; Chinese Scholarship Council ; Chinese Scholarship Council ; Chinese Scholarship Council ; EU FP7 QA4ECV project ; EU FP7 QA4ECV project ; EU FP7 QA4ECV project ; EU FP7 QA4ECV project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; 973 program ; 973 program ; 973 program ; 973 program ; Chinese Scholarship Council ; Chinese Scholarship Council ; Chinese Scholarship Council ; Chinese Scholarship Council ; EU FP7 QA4ECV project ; EU FP7 QA4ECV project ; EU FP7 QA4ECV project ; EU FP7 QA4ECV project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; 973 program ; 973 program ; 973 program ; 973 program ; Chinese Scholarship Council ; Chinese Scholarship Council ; Chinese Scholarship Council ; Chinese Scholarship Council ; EU FP7 QA4ECV project ; EU FP7 QA4ECV project ; EU FP7 QA4ECV project ; EU FP7 QA4ECV project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; 973 program ; 973 program ; 973 program ; 973 program ; Chinese Scholarship Council ; Chinese Scholarship Council ; Chinese Scholarship Council ; Chinese Scholarship Council ; EU FP7 QA4ECV project ; EU FP7 QA4ECV project ; EU FP7 QA4ECV project ; EU FP7 QA4ECV project
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/41233]  
专题中国科学院合肥物质科学研究院
通讯作者Lin, Jintai; Boersma, K. Folkert
作者单位1.Peking Univ, Sch Phys, Dept Atmospher & Ocean Sci, Lab Climate & Ocean Atmosphere Studies, Beijing, Peoples R China
2.Royal Netherlands Meteorol Inst, De Bilt, Netherlands
3.Wageningen Univ, Meteorol & Air Qual Dept, Wageningen, Netherlands
4.Royal Belgian Inst Space Aeron BIRA IASB, Brussels, Belgium
5.Max Planck Inst Chem, Hahn Meitner Weg 1, D-55128 Mainz, Germany
6.Delft Univ Technol, Dept Geosci & Remote Sensing GRS, Civil Engn & Geosci, Delft, Netherlands
7.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Environm Opt & Technol, Hefei, Anhui, Peoples R China
8.Chinese Acad Sci, Inst Urban Environm, CAS Ctr Excellence Urban Atmospher Environm, Xiamen, Peoples R China
9.Univ Sci & Technol China, Sch Environm Sci & Optoelect Technol, Hefei, Anhui, Peoples R China
10.Chinese Acad Sci, IAP, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Mengyao,Lin, Jintai,Boersma, K. Folkert,et al. Improved aerosol correction for OMI tropospheric NO2 retrieval over East Asia: constraint from CALIOP aerosol vertical profile[J]. ATMOSPHERIC MEASUREMENT TECHNIQUES,2019,12(1):1-21.
APA Liu, Mengyao.,Lin, Jintai.,Boersma, K. Folkert.,Pinardi, Gaia.,Wang, Yang.,...&Ni, Ruijing.(2019).Improved aerosol correction for OMI tropospheric NO2 retrieval over East Asia: constraint from CALIOP aerosol vertical profile.ATMOSPHERIC MEASUREMENT TECHNIQUES,12(1),1-21.
MLA Liu, Mengyao,et al."Improved aerosol correction for OMI tropospheric NO2 retrieval over East Asia: constraint from CALIOP aerosol vertical profile".ATMOSPHERIC MEASUREMENT TECHNIQUES 12.1(2019):1-21.

入库方式： OAI收割

来源：合肥物质科学研究院

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。