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Development and Application of HECORA Cloud Retrieval Algorithm Based On the O-2-O-2 477 nm Absorption Band

文献类型：期刊论文

作者Wang, Shuntian1,2; Liu, Cheng1,2,3,4,5; Zhang, Wenqiang6; Hao, Nan7; Garcia, Sebastian Gimeno7; Xing, Chengzhi1; Zhang, Chengxin2,4; Su, Wenjing8; Liu, Jianguo1,3
刊名REMOTE SENSING
出版日期2020-09-01
卷号12
关键词cloud fraction cloud pressure EMI TROPOMI DOAS
DOI10.3390/rs12183039
通讯作者Garcia, Sebastian Gimeno(sebastian.gimenogarcia@eumetsat.int)
英文摘要In this paper, we present the Hefei EMI Cloud Retrieval Algorithm (HECORA), which uses information from the O-2-O-2 absorption band around 477 nm to retrieve effective cloud fraction and effective cloud pressure from satellite observations. The retrieved cloud information intends to improve the atmospheric trace gas products based on the Environment Monitoring Instrument (EMI) spectrometer. The HECORA method builds on OMCLDO2 and presents some evolutions. The Vector Linearized Discrete Ordinate Radiative Transfer (VLIDORT) model has been used to produce the Top of the Atmosphere (TOA) reflectance Look-up Tables (LUT) as a function of the cloud fraction and cloud pressure. Applying the Differential Optical Absorption Spectroscopy (DOAS) technique to the synthetic reflectance LUT, the reflectance spectra can be associated with O-2-O-2 geometrical vertical column densities (VCDgeo) and continuum reflectance. This is the core of the retrieval method, since there is a one-to-one relationship between O-2-O-2 VCDgeo and continuum reflectance, on the one hand, and effective cloud fraction and effective cloud pressure, on the other hand, for a given illumination and observing geometry and given surface height and surface albedo. We first used the VLIDORT synthetic spectra to verify the HECORA algorithm and obtained good results in both the Lambertian cloud model and the scattering cloud model. Secondly, HECORA is applied to OMI and TROPOMI and compared with OMCLDO2, FRESCO+, and OCRA/ROCINN cloud products. Later, the cloud pressure results from TROPOMI observations obtained using HECORA and FRESCO+ are compared with the CALIOP Cloud Layer product. HECORA is closer to the CALIOP results under low cloud conditions, while FRESCO+ is closer to high clouds due to the higher sensitivity of the O-2 A-band to cloud vertical information. Finally, HECORA is applied to the TROPOMI NO2 retrieval. Validation of the tropospheric NO2 VCD with ground-based MAX-DOAS measurements shows that choosing HECORA cloud products to correct for photon path variations on the TROPOMI tropospheric NO2 VCD retrievals has better performance than using FRESCO+ under low cloud conditions. In conclusion, this paper shows that the HECORA cloud products are in good agreement with the well-established cloud products and that they are suitable for correcting the effect of cloud in trace gas retrievals. Therefore, HECORA has the potential to be applied to EMI.
WOS关键词SENTINEL-5 PRECURSOR ; STRATOSPHERIC NO2 ; TROPOMI ; OMI ; CALIBRATION ; INSTRUMENT ; SATELLITES ; PARAMETERS ; SCATTERING ; GOME-2
资助项目Civil Aerospace Technology Advance Research Project[Y7K00100] ; National Key Research and Development Program of China[2018YFC0213104] ; National Key Research and Development Program of China[2018YFC0213100] ; National Natural Science Foundation of China[41722501] ; National Natural Science Foundation of China[91544212] ; National Natural Science Foundation of China[51778596] ; National Natural Science Foundation of China[41575021] ; China Postdoctoral Science Foundation[2020TQ0320]
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000581256000001
出版者MDPI
资助机构Civil Aerospace Technology Advance Research Project ; National Key Research and Development Program of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/104642]  
专题中国科学院合肥物质科学研究院
通讯作者Garcia, Sebastian Gimeno
作者单位1.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei Inst Phys Sci, Key Lab Environm Opt & Technol, Hefei 230031, Peoples R China
2.Univ Sci & Technol China, Dept Precis Machinery & Precis Instrumentat, Hefei 230026, Peoples R China
3.Chinese Acad Sci, Ctr Excellence Reg Atmospher Environm, Inst Urban Environm, Xiamen 361021, Peoples R China
4.Univ Sci & Technol China, Key Lab Precis Sci Instrumentat Anhui Higher Educ, Hefei 230026, Peoples R China
5.Univ Sci & Technol China, Anhui Prov Key Lab Polar Environm & Global Change, Hefei 230026, Peoples R China
6.Univ Sci & Technol China, Sch Environm Sci & Optoelect Technol, Hefei 230026, Peoples R China
7.European Org Exploitat Meteorol Satellites, D-64295 Darmstadt, Germany
8.Univ Sci & Technol China, Sch Earth & Space Sci, Hefei 230026, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Shuntian,Liu, Cheng,Zhang, Wenqiang,et al. Development and Application of HECORA Cloud Retrieval Algorithm Based On the O-2-O-2 477 nm Absorption Band[J]. REMOTE SENSING,2020,12.
APA Wang, Shuntian.,Liu, Cheng.,Zhang, Wenqiang.,Hao, Nan.,Garcia, Sebastian Gimeno.,...&Liu, Jianguo.(2020).Development and Application of HECORA Cloud Retrieval Algorithm Based On the O-2-O-2 477 nm Absorption Band.REMOTE SENSING,12.
MLA Wang, Shuntian,et al."Development and Application of HECORA Cloud Retrieval Algorithm Based On the O-2-O-2 477 nm Absorption Band".REMOTE SENSING 12(2020).

入库方式： OAI收割

来源：合肥物质科学研究院

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