Journal article
The polarization crossfire (PCF) sensor suite focusing on satellite remote sensing of fine particulate matter PM2.5 from space
Journal of quantitative spectroscopy & radiative transfer, Vol.286, 108217
08/2022
DOI: 10.1016/j.jqsrt.2022.108217
Abstract
•PCF suite is the first dedicated satellite sensor for PM2.5 remote sensing.•The principle of PCF composed by DPC and POSP are described.•Retrievals of aerosols and PM2.5 by PMRS model are investigated.•The errors propagation from aerosols to PM2.5 retrievals are discussed.
Focusing on satellite remote sensing of fine particulate matter PM2.5 from space, the polarization crossfire (PCF) strategy has been developed, which includes the PCF satellite suite and the particulate matter remote sensing (PMRS) model. Expected to be the first dedicated satellite sensor for PM2.5 remote sensing globally, the PCF suite is composed by the Particulate Observing Scanning Polarimeter (POSP) and the Directional Polarimetric Camera (DPC) together, and will be launched on board the Chinese GaoFen-5(02) satellite in 2021. Since the cross-track polarimetric measurements of POSP fully cover the multi-viewing swath of DPC, the sophisticated joint measurements could be obtained from the PCF suite in the range of 380–2250 nm including intensity and polarization, by the means of pixel matching and the cross calibration from POSP to DPC. Based on the optimal estimation inversion framework and synthetic data of PCF, the retrieval performances of key aerosol parameters are systematically investigated and assessed for the PM2.5 estimation by the PMRS model. For the design of inversion strategy for PCF, we firstly test the retrievals of aerosol optical depth (AOD), fine mode fraction (FMF), aerosol layer height (H) and the fine-mode real part of complex refractive index (mrf) simultaneously with surface parameters from the synthetic PCF data, and then the columnar volume-to-extinction ratio of fine particulates (VEf), the aerosol effective density (ρf) and the hygroscopic growth factor of fine-mode particles (f(RH)) are further obtained by the corresponding empirical relationship. The propagation errors from aerosol parameters to PM2.5 retrieval are investigated with the key procedures of PMRS model. In addition, the influences of improving calibration accuracy of PCF on PM2.5 retrievals are discussed, as well as the retrieval feasibility of PM10 by PCF strategy.
Details
- Title: Subtitle
- The polarization crossfire (PCF) sensor suite focusing on satellite remote sensing of fine particulate matter PM2.5 from space
- Creators
- Zhengqiang Li - Chinese Academy of SciencesWeizhen Hou - Chinese Academy of SciencesJin Hong - Anhui Institute of Optics and Fine MechanicsCheng Fan - Chinese Academy of SciencesYuanyuan Wei - Chinese Academy of SciencesZhenhai Liu - Anhui Institute of Optics and Fine MechanicsXuefeng Lei - Anhui Institute of Optics and Fine MechanicsYanli Qiao - Anhui Institute of Optics and Fine MechanicsOtto P Hasekamp - SRON Netherlands Institute for Space ResearchGuangliang Fu - SRON Netherlands Institute for Space ResearchJun Wang - University of IowaOleg Dubovik - University of LilleLiLi Qie - Chinese Academy of SciencesYing Zhang - Chinese Academy of SciencesHua Xu - Chinese Academy of SciencesYisong Xie - Chinese Academy of SciencesMaoxin Song - Anhui Institute of Optics and Fine MechanicsPeng Zou - Anhui Institute of Optics and Fine MechanicsDonggen Luo - Anhui Institute of Optics and Fine MechanicsYi Wang - Anhui Institute of Optics and Fine MechanicsBihai Tu - Anhui Institute of Optics and Fine Mechanics
- Resource Type
- Journal article
- Publication Details
- Journal of quantitative spectroscopy & radiative transfer, Vol.286, 108217
- Publisher
- Elsevier Ltd
- DOI
- 10.1016/j.jqsrt.2022.108217
- ISSN
- 0022-4073
- eISSN
- 1879-1352
- Grant note
- DOI: 10.13039/100008893, name: University of Iowa; DOI: 10.13039/100014717, name: National Natural Science Foundation of China National Outstanding Youth Science Fund Project, award: 41925019; DOI: 10.13039/501100001809, name: National Natural Science Foundation of China, award: 41671364, 41871269, 42101365; DOI: 10.13039/501100010225, name: National Outstanding Youth Foundation of China; DOI: 10.13039/501100012692, name: K. C. Wong Education Foundation, award: GJTD-2018–15
- Language
- English
- Date published
- 08/2022
- Academic Unit
- Physics and Astronomy; Chemical and Biochemical Engineering; Civil and Environmental Engineering
- Record Identifier
- 9984254114702771
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