Qing Li
9 Papers
30 Citations
Qing Li is an academic researcher. The author has contributed to research in topics: AERONET & Aerosol. The author has an hindex of 4, co-authored 7 publications.
Chat about Author
Papers
Ozone Profile Retrievals From the Cross-Track Infrared Sounder
TL;DR: An algorithm for the retrieval of ozone profiles from the Cross-track Infrared Sounder (CrIS) aboard the Suomi National Polar-orbiting Partnership satellite is presented using a nonlinear optimal estimation method and it is revealed that smoothing error represents the main error source for the retrieved CrIS ozone profiles.
16
Satellite monitoring of stratospheric ozone intrusion exceptional events- a typical case of China in 2019
Pengfei Ma,Huiqin Mao,Jianhui Zhang,Xiaoyu Yang,Shaohua Zhao,Zhongting Wang,Qing Li,Yu Wang,Cuihong Chen +8 more
TL;DR: Wang et al. as discussed by the authors used NASA's AQUA/AIRS, in combination with the European Center for Medium-Range Weather Forecasts (ECMWF) high resolution reanalysis data and the ground sites of excessive ozone, the ozone concentration, relative humidity and carbon monoxide (CO) concentration in the vertical profile data were obtained, and their spatialtemporal variations and stratospheric ozone intrusion were preliminarily investigated over China.
13
Aerosol Retrieval in the Autumn and Winter From the Red and $2.12~\mu\text{m}$ Bands of MODIS
Wang Zhongting,Pengfei Ma,Hui Chen,Zhang Yuhuan,Zhang Lijuan,Shenshen Li,Qing Li,Liangfu Chen +7 more
TL;DR: A new algorithm for terrestrial aerosol with the assumption that the reflectance ratio between the red and shortwave infrared bands of MODIS is invariant is developed and can retrieve aerosol over sparse vegetation.
11
Retrieval of aerosol size distribution from multi-angle polarized measurements assisted by intensity measurements over East China
TL;DR: In this paper, a new algorithm to retrieve aerosol size distribution was developed using polarized measurements assisted by intensity measurements, which can improve the accuracy of retrieved aerosol microphysical properties.
9
•Journal Article
[The monitoring of haze from HJ-1].
TL;DR: Based on haze physical properties, haze optical properties were calculated by Mie theory and apparent reflectance of haze in Environment Satellite 1 (HJ-1) channels was simulated by Radiative Transfer (RT) 3.0, and results show that it is reasonable to extract the haze from apparentreflectance in the first and second channels.
6