Thermal infrared dust optical depth and coarse-mode effective diameter retrieved from collocated MODIS and CALIOP observations

dc.contributor.authorZheng, Jianyu
dc.contributor.authorZhang, Zhibo
dc.contributor.authorYu, Hongbin
dc.contributor.authorGarnier, Anne
dc.contributor.authorSong, Qianqian
dc.contributor.authorWang, Chenxi
dc.contributor.authorBiagio, Claudia Di
dc.contributor.authorKok, Jasper F.
dc.contributor.authorDerimian, Yevgeny
dc.contributor.authorRyder, Claire
dc.date.accessioned2023-03-03T17:07:50Z
dc.date.available2023-03-03T17:07:50Z
dc.date.issued2023-02-06
dc.description.abstractIn this study, we developed a novel algorithm based on the collocated Moderate Resolution Imaging Spectroradiometer (MODIS) thermal infrared (TIR) observations and dust vertical profiles from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) to simultaneously retrieve dust aerosol optical depth at 10 µm (DAOD10μm) and the coarse-mode dust effective diameter (Deff) over global oceans. The accuracy of the Deff retrieval is assessed by comparing the PSD corresponding to retrieved Deff with the in-situ measured dust particle size 25 distributions (PSDs) from the AER-D, SAMUM-2 and SALTRACE field campaigns through case studies. The new DAOD10μm retrievals were evaluated first through comparisons with the collocated DAOD10.6μm retrieved from the combined Imaging Infrared Radiometer (IIR) and CALIOP observations from our previous study (Zheng et al. 2022). The pixel-to-pixel comparison of the two retrievals indicates a good agreement (R~0.7) and a significant reduction of (~50%) retrieval uncertainties largely thanks to the better constraint on dust size. In a climatological comparison, the 30 seasonal and regional (5°×2°) mean DAOD10um retrievals based on our combined MODIS and CALIOP method are in good agreement with the two independent Infrared Atmospheric Sounding Interferometer (IASI) products over three dust transport regions (i.e., North Atlantic (NA; R = 0.9), Indian Ocean (IO; R = 0.8) and North Pacific (NP; R = 0.7)). Using the new retrievals from 2013 to 2017, we performed a climatological analysis of coarse mode dust Deff over 35 global oceans. We found that dust Deff over IO and NP are up to 20% smaller than that over NA. Over NA in summer, we found a ~50% reduction of the number of retrievals with Deff > 5 μm from 15°W to 35°W and a stable trend of Deff average at 4.4 μm from 35°W throughout the Caribbean Sea (90°W). Over NP in spring, only ~5% of retrieved pixels with Deff > 5 μm are found from 150°E to 180°, while the mean Deff remains stable at 4.0 μm throughout eastern NP. To our best knowledge, this study is the first to retrieve both DAOD and coarse-mode dust particle size over global oceans for multiple years. This retrieval dataset provides insightful information for evaluating dust long-wave radiative effects and coarse mode dust particle size in models.en_US
dc.description.sponsorshipJZ, ZZ and AG are supported by a NASA grant (no. 80NSSC20K0130) from the CALIPSO and CloudSat program managed by David Considine. HY was supported by the CloudSat/CALIPSO program. CR acknowledges funding from NERC grant NE/M018288/1. JFK was supported by NSF grants 1856389 and 2151093 and the Army Research Office (cooperative agreement number W911NF-20-2-0150). C.D.B. 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). 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 acknowledge the AERIS data infrastructure for providing access to the IASI-LMD data in this study and CNRS-LMD for the development of the retrieval algorithms. We thank the ICARE Data and Services Center for providing access to the IASI-ULB data in this study at http://www.icare.univ-lille1.fr/. We thank NASA for providing the MODIS and CALIPSO data, which are available at https://ladsweb.modaps.eosdis.nasa.gov/ and https://asdc.larc.nasa.gov/data/CALIPSO/. We thank the CloudSat Data Processing Center for providing the MODIS AUX data at https://www.cloudsat.cira.colostate.edu/data-products/modis-aux/. We also thank the AERONET project at NASA/GSFC for providing the ground-based aerosol data. 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 national facility as part of the French ACTRIS Research Infrastructure as well as the AERIS datacenter (https://en.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). The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory or the US Government.en_US
dc.description.urihttps://egusphere.copernicus.org/preprints/2023/egusphere-2023-103/en_US
dc.format.extent44 pagesen_US
dc.genrejournal articlesen_US
dc.genrepreprintsen_US
dc.identifierdoi:10.13016/m2tmup-djnj
dc.identifier.urihttps://doi.org/10.5194/egusphere-2023-103
dc.identifier.urihttp://hdl.handle.net/11603/26934
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 GESTAR II
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology (JCET)
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.titleThermal infrared dust optical depth and coarse-mode effective diameter retrieved from collocated MODIS and CALIOP observationsen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0003-3886-7913en_US
dcterms.creatorhttps://orcid.org/0000-0001-9491-1654en_US

Files

Original bundle

Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
egusphere-2023-103.pdf
Size:
9.12 MB
Format:
Adobe Portable Document Format
Description:
Loading...
Thumbnail Image
Name:
egusphere-2023-103-supplement.pdf
Size:
1.63 MB
Format:
Adobe Portable Document Format
Description:

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.56 KB
Format:
Item-specific license agreed upon to submission
Description: