Size-Resolved Dust Direct Radiative Effect Efficiency Derived from Satellite Observations

dc.contributor.authorSong, Qianqian
dc.contributor.authorZhang, Zhibo
dc.contributor.authorYu, Hongbin
dc.contributor.authorKok, Jasper F.
dc.contributor.authorBiagio, Claudia Di
dc.contributor.authorAlbani, Samuel
dc.contributor.authorZheng, Jianyu
dc.contributor.authorDing, Jiachen
dc.date.accessioned2022-07-13T18:44:12Z
dc.date.available2022-07-13T18:44:12Z
dc.date.issued2022-06
dc.description.abstractThe role of mineral dust aerosol in global radiative energy budget is often quantified by the dust direct radiative effect (DRE). The dust DRE strongly depends on dust aerosol optical depth (DAOD), therefore, DRE efficiency (DREE=DRE/DAOD) is widely compared across different studies to eliminate difference due to the various dust load. Nevertheless, DREE is still influenced by the uncertainties associated with dust particle size distribution (PSD) and optical properties. In this study, we derive a global clear-sky size-resolved DREE dataset in both shortwave (SW) and longwave (LW) at top of the atmosphere (TOA) and surface based on satellite observations (i.e., satellite-retrieved dust extinction spatial and vertical distributions). In the DREE dataset, dust geometric diameter from 0.1µm to 100 µm is divided into 10 bins and the corresponding monthly mean DREE (with respect to DAOD at 532 nm) for each size bin is derived by using the Rapid Radiative Transfer Model (RRTM). Three sets of state-of-the-art dust refractive indices (RI) and two sets of dust shape models (sphere vs. spheroid) are adopted to investigate the sensitivity of dust DREE to dust absorption and shape. As a result, the size-resolved dust DREE dataset contains globally distributed monthly mean dust DREE at TOA and surface for each of 10 size bins with 5° (longitude) × 2° (latitude) resolution as well as for each dust RI and shape combination. The size-resolved dust DREE dataset can be used to readily calculate global dust DRE for any DAOD and dust PSD, including the uncertainty in the DRE induced by dust microphysical properties (e.g., dust PSD, RI and shape). By calculating dust DRE based on DAOD climatology retrieved from different satellite sensors and based on different dust PSD, we find that uncertainty in the spatial pattern of DAOD induces more than 10 % of the uncertainty in SW dust DRE at TOA. The observation-based dust PSD induces around 15 %~20 % uncertainty in dust DRE at TOA and in the atmosphere. The sensitivity assessments of dust DRE to dust RI and shape further suggest that dust non-sphericity induces a negligible effect on dust DRE estimations, while dust RI turns out to be the most important factor in determining dust DRE, particularly in SW.en_US
dc.description.sponsorshipWe would like to thank Dr. Claire L. Ryder for providing the Fennec and AER-D dust PSDs. Qianqian Song and Zhibo Zhang cordially acknowledge the funding support from the Future Investigators in NASA Earth and Space Science and Technology (FINESST). Zhibo Zhang’s research is supported by NASA grant (80NSSC20K0130) from the CALIPSO and CloudSat program. 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.en_US
dc.description.urihttps://acp.copernicus.org/preprints/acp-2022-350/en_US
dc.format.extent44 pagesen_US
dc.genrejournal articlesen_US
dc.genrepreprintsen_US
dc.identifierdoi:10.13016/m2zibm-xrwt
dc.identifier.citationSong, Q., Zhang, Z., Yu, H., Kok, J. F., Di Biagio, C., Albani, S., Zheng, J., and Ding, J.: Size-Resolved Dust Direct Radiative Effect Efficiency Derived from Satellite Observations, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-350, in review, 2022.en_US
dc.identifier.urihttps://doi.org/10.5194/acp-2022-350
dc.identifier.urihttp://hdl.handle.net/11603/25150
dc.language.isoen_USen_US
dc.publisherEGUen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Physics Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC GESTAR II
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.en_US
dc.rightsPublic Domain Mark 1.0*
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.subjectUMBC High Performance Computing Facility (HPCF)
dc.titleSize-Resolved Dust Direct Radiative Effect Efficiency Derived from Satellite Observationsen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0001-9491-1654en_US
dcterms.creatorhttps://orcid.org/0000-0003-3886-7913en_US

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