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HFCAS OpenIR

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Using machine learning approach to reproduce the measured feature and understand the model-to-measurement discrepancy of atmospheric formaldehyde 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 卷号: 851
作者:  Yin, Hao;  Sun, Youwen;  You, Yan;  Notholt, Justus;  Palm, Mathias;  Wang, Wei;  Shan, Changgong;  Liu, Cheng
收藏  |  浏览/下载：57/0  |  提交时间：2022/12/22
HCHO  FTIR  Machine learning  Remote sensing  GEOS-Chem  
Inferring global surface HCHO concentrations from multisource hyperspectral satellites and their application to HCHO-related global cancer burden estimation 期刊论文
ENVIRONMENT INTERNATIONAL, 2022, 卷号: 170
作者:  Su, Wenjing;  Hu, Qihou;  Chen, Yujia;  Lin, Jinan;  Zhang, Chengxin;  Liu, Cheng
收藏  |  浏览/下载：42/0  |  提交时间：2022/12/23
Satellite remote sensing  OMPS  Surface formaldehyde  Population  Cancer  EMI  
Vertical distributions and potential sources of wintertime atmospheric pollutants and the corresponding ozone production on the coast of Bohai Sea 期刊论文
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2022, 卷号: 319
作者:  Xing, Chengzhi;  Liu, Cheng;  Hong, Qianqian;  Liu, Hanyang;  Wu, Hongyu;  Lin, Jinan;  Song, Yuhang;  Chen, Yujia;  Liu, Ting;  Hu, Qihou;  Tan, Wei;  Lin, Hua
收藏  |  浏览/下载：40/0  |  提交时间：2022/12/23
Source analysis of the tropospheric NO(2 )based on MAX-DOAS measurements in northeastern China 期刊论文
ENVIRONMENTAL POLLUTION, 2022, 卷号: 306
作者:  Liu, Feng;  Xing, Chengzhi;  Su, Pinjie;  Luo, Yifu;  Zhao, Ting;  Xue, Jiexiao;  Zhang, Guohui;  Qin, Sida;  Song, Youtao;  Bu, Naishun
收藏  |  浏览/下载：46/0  |  提交时间：2022/12/23
MAX-DOAS  NO2  GAM  Source analysis  
Inferring vertical variability and diurnal evolution of O-3 formation sensitivity based on the vertical distribution of summertime HCHO and NO2 in Guangzhou, China 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 卷号: 827
作者:  Hong, Qianqian;  Zhu, Linbin;  Xing, Chengzhi;  Hu, Qihou;  Lin, Hua;  Zhang, Chengxin;  Zhao, Chunhui;  Liu, Ting;  Su, Wenjing;  Liu, Cheng
收藏  |  浏览/下载：40/0  |  提交时间：2022/12/23
Ozone formation sensitivity  Formaldehyde  Nitrogen oxides  MAX-DOAS  TROPOMI  
Spaceborne tropospheric nitrogen dioxide (NO2) observations from 2005-2020 over the Yangtze River Delta (YRD), China: variabilities, implications, and drivers 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2022, 卷号: 22
作者:  Yin, Hao;  Sun, Youwen;  Notholt, Justus;  Palm, Mathias;  Liu, Cheng
收藏  |  浏览/下载：43/0  |  提交时间：2022/05/05
Identification of ozone sensitivity for NO2 and secondary HCHO based on MAX-DOAS measurements in northeast China 期刊论文
ENVIRONMENT INTERNATIONAL, 2022, 卷号: 160
作者:  Xue, Jiexiao;  Zhao, Ting;  Luo, Yifu;  Miao, Congke;  Su, Pinjie;  Liu, Feng;  Zhang, Guohui;  Qin, Sida;  Song, Youtao;  Bu, Naishun;  Xing, Chengzhi
收藏  |  浏览/下载：53/0  |  提交时间：2022/03/21
MAX-DOAS  Formaldehyde  Secondary source  HCHO/NO2  Ozone production sensitivity  
Calibration and Data Quality Assurance Technical Advancements for Quantitative Remote Sensing in the DRAGON 4 Project 期刊论文
REMOTE SENSING, 2021, 卷号: 13
作者:  Ma, Lingling;  Zhao, Yongguang;  Li, Chuanrong;  Goryl, Philippe;  Liu, Cheng;  He, Jieying;  Wang, Pucai;  Bouvet, Marc;  Zhao, Ran;  Wang, Ning;  Liu, Yaokai;  Gao, Caixia;  Dils, Bart;  Zhang, Chengxin;  Chan, Ka Lok;  Wang, Xinhong
收藏  |  浏览/下载：43/0  |  提交时间：2022/02/14
calibration and validation  RadCalNet  microwave sensor  NO2 retrieval  
Evaluations of Environmental Trace Gases Monitoring Instrument (EMI) Level 1 Data 期刊论文
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 卷号: 41
作者:  Cheng Liang-xiao;  Tao Jin-hua;  Zhou Hai-jin;  Yu Chao;  Fan Meng;  Wang Ya-peng;  Wang Zhi-bao;  Chen Liang-fu
收藏  |  浏览/下载：57/0  |  提交时间：2022/03/21
GF-5  EMI  Wavelength calibration  Slit function  Data quality  
Improved Anthropogenic SO2 Retrieval from High-Spatial-Resolution Satellite and its Application during the COVID-19 Pandemic 期刊论文
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2021, 卷号: 55
作者:  Xia, Congzi;  Liu, Cheng;  Cai, Zhaonan;  Duan, Xiaonan;  Hu, Qihou;  Zhao, Fei;  Liu, Haoran;  Ji, Xiangguang;  Zhang, Chengxin;  Liu, Yi
收藏  |  浏览/下载：101/0  |  提交时间：2021/11/01
sulfur dioxide  satellite  on-orbit calibration  anthropogenic  COVID-19