干旱区生态环境知识资源中心(Arid): The thermal infrared optical depth of mineral dust retrieved from integrated CALIOP and IIR observations

Arid

DOI	10.1016/j.rse.2021.112841
	The thermal infrared optical depth of mineral dust retrieved from integrated CALIOP and IIR observations
	Zheng, Jianyu; Zhang, Zhibo; Garnier, Anne; Yu, Hongbin; Song, Qianqian; Wang, Chenxi; Dubuisson, Philippe; Di Biagio, Claudia
通讯作者	Zhang, ZB (corresponding author)，Univ Maryland Baltimore Cty, Dept Phys, Baltimore, MD 21228 USA.
来源期刊	REMOTE SENSING OF ENVIRONMENT
ISSN	0034-4257
EISSN	1879-0704
出版年	2022
卷号	270
英文摘要	Recent studies have suggested that global climate models tend to underestimate dust particle size in particular, the very coarse mode, leading to an underestimated direct radiative effect (DRE) of dust in the longwave (LW) thermal infrared (TIR) region. However, the magnitude of LW DRE remains highly uncertain, because of limited observations of dust optical depth at the TIR (DAOD(TIR)). This study presents a simple approach to retrieve the DAOD(TIR) over the oceans during nighttime through synergistic use of observations from the Infrared Imaging Radiometer (IIR) and the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), both onboard of the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) mission. For each cloud-free dust-laden profile identified by the IIR-CALIOP observation, a Lookup-Table (LUT) of the 10.6 mu m IIR band brightness temperatures (BT) difference (dBT) under different DAOD(TIR) with respect to their dust-free BTs is constructed based on the CALIOP retrieved dust vertical profile and a priori dust scattering properties using a fast radiative transfer model. Then the DAOD(TIR) is retrieved by projecting the IIR-observed dBT on the LUT. Sensitivity studies show that the DAOD(TIR) retrieval at 10.6 mu m is more susceptible to the dust particle size distribution (PSD) assumption than dust refractive indices. To estimate the uncertainty caused by PSD assumption, two DAOD(TIR) retrieval products, one based on the dust PSD from the AERONET at Cape Verde and the other on an in situ measured PSD from the recent Fennec campaign, are provided. The retrieval uncertainty is mainly contributed by the BT difference between the observation and simulation using auxiliary atmospheric data. The climatology of the retrieval from 2013 to 2019 shows reasonable spatiotemporal variations of DAOD(TIR) with the global-averaged value of 0.008 and 0.013 based on different pre-assumed dust PSDs. Climatological results agree reasonably well with two independent DAOD(TIR) retrieval products based on the Infrared Atmospheric Sounding Interferometer (IASI) over the active dust transport regions, such as North and Tropical Atlantic (r = 0.9 and r = 0.8) and Indian Ocean (r = 0.8). The seasonal and interannual variation is also well-compared (r = 0.76) with AERONET coarse-mode AOD at 97 selected sites. The synergic CALIOP observation allows the retrieved DAOD(TIR) to directly compare with the extrapolated DAOD(TIR) from DAOD in the visible (i.e., 532 nm), which helps evaluate the observational constraints on DAOD(TIR). Our study clearly reveals that the retrieved DAOD(TIR) from IIR is much less susceptible to various uncertainties than converted results from CALIOP. It also offers a unique prospect of collocated active lidar and passive IR observations for retrieving dust DAOD(TIR).
英文关键词	Aerosol Dust Thermal infrared Radiative effect IIR CALIOP
类型	Article
语种	英语
开放获取类型	hybrid, Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000760433300003
WOS关键词	MODIS AEROSOL RETRIEVALS ; SAHARAN AIR LAYER ; DESERT DUST ; TROPOSPHERIC AEROSOLS ; RADIATIVE-TRANSFER ; NORTH-ATLANTIC ; VOLCANIC ASH ; LIDAR RATIO ; PART I ; TRANSPORT
WOS类目	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/376219
作者单位	[Zheng, Jianyu; Zhang, Zhibo; Song, Qianqian] Univ Maryland Baltimore Cty, Dept Phys, Baltimore, MD 21228 USA; [Zheng, Jianyu; Zhang, Zhibo; Song, Qianqian; Wang, Chenxi] Univ Maryland Baltimore Cty, Joint Ctr Earth Syst Technol, Baltimore, MD 21228 USA; [Garnier, Anne] Sci Syst & Applicat Inc, Hampton, VA USA; [Garnier, Anne] NASA, Langley Res Ctr, Hampton, VA 23665 USA; [Yu, Hongbin; Wang, Chenxi] NASA, Goddard Space Flight Ctr, Greenbelt, MD USA; [Dubuisson, Philippe] Univ Lille, Lab Opt Atmospher, Lille, France; [Di Biagio, Claudia] Univ Paris, F-75013 Paris, France; [Di Biagio, Claudia] Univ Paris Est Creteil, LISA, CNRS, F-75013 Paris, France
推荐引用方式 GB/T 7714	Zheng, Jianyu,Zhang, Zhibo,Garnier, Anne,et al. The thermal infrared optical depth of mineral dust retrieved from integrated CALIOP and IIR observations[J],2022,270.
APA	Zheng, Jianyu.,Zhang, Zhibo.,Garnier, Anne.,Yu, Hongbin.,Song, Qianqian.,...&Di Biagio, Claudia.(2022).The thermal infrared optical depth of mineral dust retrieved from integrated CALIOP and IIR observations.REMOTE SENSING OF ENVIRONMENT,270.
MLA	Zheng, Jianyu,et al."The thermal infrared optical depth of mineral dust retrieved from integrated CALIOP and IIR observations".REMOTE SENSING OF ENVIRONMENT 270(2022).