Titre :

The polarization crossfire (PCF) sensor suite focusing on satellite remote sensing of fine particulate matter PM2.5 from space

Auteur(s) :

Hou, Weizhen [Auteur]
Aerospace Information Research Institute [AIRICAS]
University of Chinese Academy of Sciences [Beijing] [UCAS]
Hong, Jin [Auteur]
Anhui Institute of Optics and Fine Mechanics
Fan, Cheng [Auteur]
Aerospace Information Research Institute [AIRICAS]
Wei, Yuanyuan [Auteur]
Aerospace Information Research Institute [AIRICAS]
Liu, Zhenhai [Auteur]
Anhui Institute of Optics and Fine Mechanics
Lei, Xuefeng [Auteur]
Anhui Institute of Optics and Fine Mechanics
Qiao, Yanli [Auteur]
Anhui Institute of Optics and Fine Mechanics
Hasekamp, Otto P. [Auteur]
SRON Netherlands Institute for Space Research [SRON]
Fu, Guangliang [Auteur]
SRON Netherlands Institute for Space Research [SRON]
Wang, Jun [Auteur]
University of Iowa [Iowa City]
Doubovik, Oleg [Auteur]
Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518
Qie, Lili [Auteur]
Aerospace Information Research Institute [AIRICAS]
Zhang, Ying [Auteur]
Aerospace Information Research Institute [AIRICAS]
University of Chinese Academy of Sciences [Beijing] [UCAS]
Hua, Xu [Auteur]
Aerospace Information Research Institute [AIRICAS]
University of Chinese Academy of Sciences [Beijing] [UCAS]
Xie, Yisong [Auteur]
Aerospace Information Research Institute [AIRICAS]
Song, Maoxin [Auteur]
Anhui Institute of Optics and Fine Mechanics
Zou, Peng [Auteur]
Anhui Institute of Optics and Fine Mechanics
Luo, Donggen [Auteur]
Anhui Institute of Optics and Fine Mechanics
Wang, Yi [Auteur]
Anhui Institute of Optics and Fine Mechanics
Tu, Bihai [Auteur]
Anhui Institute of Optics and Fine Mechanics

Titre de la revue :

Journal of Quantitative Spectroscopy and Radiative Transfer

Nom court de la revue :

J. Quant. Spectrosc. Radiat. Transf.

Numéro :

286

Pagination :

-

Date de publication :

2022-06-13

ISSN :

0022-4073

Mot(s)-clé(s) en anglais :

Polarization crossfire suite
Fine particulate matter pm2
5 remote&nbsp
sensing
Optimal estimation inversion
Aerosol layer height
Pcf

Discipline(s) HAL :

Planète et Univers [physics]/Océan, Atmosphère

Résumé en anglais : [en]

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 ...
Lire la suite >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.Lire moins >

Langue :

Anglais

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

Université de Lille
CNRS

Collections :

• Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518

Date de dépôt :

2024-01-16T22:45:40Z
2024-02-13T13:33:00Z