Global cloud optical depth daily variability based on DSCOVR/ EPIC observations

dc.contributor.authorDelgado-Bonal, Alfonso
dc.contributor.authorMarshak, A.
dc.contributor.authorYang, Y.
dc.contributor.authorOreopoulos, L.
dc.date.accessioned2024-07-26T16:35:46Z
dc.date.available2024-07-26T16:35:46Z
dc.date.issued2024-06-19
dc.description.abstractWhen investigating the potential effects of cloud changes on climate, inter- and intraday variability should be distinguished. Historically, the focus has been placed on long-term changes and the intraday cycles of cloud properties have been mostly ignored, partly due to the limited availability of global datasets to study the higher frequency variability. In this regard, DSCOVR's vantage point at Lagrange L1 point overcomes the temporal limitations of polar orbiters, but also the limited spatial views of geostationary satellites, allowing us to characterize the daytime variability of cloud properties using a single sensor. In previous analyses, we used DSCOVR’s EPIC instrument to characterize the diurnal cycles of cloud height and cloud fraction and here we expand the previous studies to also investigate the variability of cloud optical thickness. We observe a recurring diurnal pattern of cloud optical thickness for different latitudinal zones that reaches a maximum around noon regardless of the underlying surface. Once we separate clouds based on their optical thickness into optically thin (0-3), intermediate (3-10), and thick (10-25), we find that these cloud classes follow different optical thickness diurnal cycles on global scales. We further explore those differences by combining the evolution of cloud fraction and optical thickness of each group to obtain the diurnal evolution of cloud fraction weighted optical depths.
dc.description.sponsorshipThe author(s) declare that financial support was received for the research, authorship, and/or publication of this article. AD-B and AM researchers were supported by the DSCOVR Science Management project. YY would like to acknowledge funding support from the NASA DSCOVR Science Team program. LO gratefully acknowledges support from the NASA MEaSUREs program.
dc.description.urihttps://www.frontiersin.org/articles/10.3389/frsen.2024.1390683
dc.format.extent9 pages
dc.genrejournal articles
dc.identifierdoi:10.13016/m2a3we-v6fb
dc.identifier.citationDelgado-Bonal, A., A. Marshak, Y. Yang, and L. Oreopoulos. “Global Cloud Optical Depth Daily Variability Based on DSCOVR/ EPIC Observations.” Frontiers in Remote Sensing 5 (June 19, 2024). https://doi.org/10.3389/frsen.2024.1390683.
dc.identifier.urihttps://doi.org/10.3389/frsen.2024.1390683
dc.identifier.urihttp://hdl.handle.net/11603/35136
dc.language.isoen_US
dc.publisherFrontiers
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC GESTAR II
dc.rightsCC BY 4.0 Deed ATTRIBUTION 4.0 INTERNATIONAL
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectDaily variability
dc.subjectCloud optical depth (COD)
dc.subjectClouds diurnal cycle
dc.subjectClimate Change
dc.subjectDSCOVR EPIC
dc.titleGlobal cloud optical depth daily variability based on DSCOVR/ EPIC observations
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0001-6488-9281

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