Assessment of dust size retrievals based on AERONET: A case study of radiative closure from visible-near-infrared to thermal infrared

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dc.contributor.authorZheng, Jianyu
dc.contributor.authorZhang, Zhibo
dc.contributor.authorDeSouza-Machado, Sergio
dc.contributor.authorRyder, Claire L
dc.contributor.authorGarnier, Anne
dc.contributor.authorBiagio, Claudia Di
dc.contributor.authorYang, Ping
dc.contributor.authorWelton, Ellsworth J
dc.contributor.authorYu, Hongbin
dc.contributor.authorBarreto, Africa
dc.contributor.authorGonzalez, Margarita Y
dc.date.accessioned2024-01-22T08:57:39Z
dc.date.available2024-01-22T08:57:39Z
dc.date.issued2023-12-26
dc.description.abstractSuper-coarse dust particles (diameters > 10 µm) are evidenced to be more abundant in the atmosphere than model estimates and contribute significantly to the dust climate impacts. Since super-coarse dust accounts for less dust extinction in the visible-to-near-infrared (VIS-NIR) than in the thermal infrared (TIR) spectral regime, they are suspected to be underestimated by remote sensing instruments operates only in VIS-NIR, including Aerosol Robotic Networks (AERONET), a widely used dataset for dust model validation. In this study, we perform a radiative closure assessment using the AERONET-retrieved size distribution in comparison with the collocated Atmospheric Infrared Sounder (AIRS) TIR observations with comprehensive uncertainty analysis. The consistently warm bias in the comparisons suggests a potential underestimation of supercoarse dust in the AERONET retrievals due to the limited VIS-NIR sensitivity. An extra super coarse mode included in the AERONET-retrieved size distribution helps improve the TIR closure without deteriorating the retrieval accuracy in the VIS-NIR.
dc.description.sponsorshipJ. Zheng, Z. Zhang and A. Garnier are supported by a NASA grant (no. 80NSSC20K0130) from the CALIPSO and CloudSat program managed by David Considine. Z. Zhang also acknowledges funding support from the NSF (AGS-2232138). H. Yu was supported by the CloudSat/CALIPSO program. C. L. Ryder acknowledges funding from NERC IRF grant NE/M018288/1. The computations in this study were performed at the UMBC High Performance Computing Facility (HPCF). The facility is supported by the US National Science Foundation through the MRI program (grant nos. CNS-0821258 and CNS-1228778) and the SCREMS program (grant no. DMS-0821311), with substantial support from UMBC. We thank NASA for providing the AIRS, CLIMCAPS and MODIS data, which are publicly available at https://disc.gsfc.nasa.gov/ and https://ladsweb.modaps.eosdis.nasa.gov/. We thank the AERONET and MPLNET project at NASA/GSFC funded by the NASA Radiation Sciences Program and Earth Observing System, for providing the ground-based aerosol data, which are publicly available at https://aeronet.gsfc.nasa.gov/ and https://mplnet.gsfc.nasa.gov/download_tool. AERONET sun photometer at Santa Cruz was calibrated through the AEROSPAIN Central Facility (https://aerospain.aemet.es/) supported by the European Community Research Infrastructure Action under the ACTRIS grant agreement no. 871115. The IITM light-scattering computational model used in this study was developed by Dr. Ping Yang’s group at Texas A&M University. The laboratory experiments to retrieve the dust refractive indices in Di Biagio et al. (2017) that feed this work had received funding from the European Union's Horizon 2020 research and innovation program through the EUROCHAMP–2020 Infrastructure Activity under grant agreement no. 730997. They were supported by the French national programme LEFE/INSU (Les Enveloppes Fluides et l'Environnement/Institut National des Sciences de l'Univers) and by the OSU–EFLUVE (Observatoire des Sciences de l'Univers–Enveloppes Fluides de la Ville à l'Exobiologie) through dedicated research funding to the RED-DUST project. The authors acknowledge the CNRS–INSU for supporting the CESAM chamber as a national facility as part of the French ACTRIS Research Infrastructure as well as the AERIS datacenter (www.aeris–data.fr) for distributing and curing the data produced by the CESAM chamber through the hosting of the EUROCHAMP datacenter (https://data.eurochamp.org). C. D. Biagio was supported by the Centre National des Etudes Spatiales (CNES) and by the CNRS via the Labex L–IPSL, which is funded by the ANR (grant no. ANR–10–LABX–0018).
dc.description.urihttps://essopenarchive.org/doi/full/10.22541/essoar.170355039.95598312
dc.format.extent25 pages
dc.genrejournal articles
dc.genrepreprints
dc.identifier.urihttps://doi.org/10.22541/essoar.170355039.95598312/v1
dc.identifier.urihttp://hdl.handle.net/11603/31372
dc.language.isoen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Physics Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC GESTAR II
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology (JCET)
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.titleAssessment of dust size retrievals based on AERONET: A case study of radiative closure from visible-near-infrared to thermal infrared
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0003-3886-7913
dcterms.creatorhttps://orcid.org/0000-0001-9491-1654
dcterms.creatorhttps://orcid.org/0000-0002-1991-5054

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