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A New Description of Small-Scale and Large-Scale Roughness in the Fast Ocean Surface Emissivity Model

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dc.contributor.authorLee, Sang-Moo-
dc.contributor.authorSohn, Byung-Ju-
dc.date.accessioned2024-05-07T02:04:13Z-
dc.date.available2024-05-07T02:04:13Z-
dc.date.created2021-06-14-
dc.date.issued2021-03-
dc.identifier.citationJournal of Atmospheric and Oceanic Technology, Vol.38 No.3, pp.501-510-
dc.identifier.issn0739-0572-
dc.identifier.urihttps://hdl.handle.net/10371/201045-
dc.description.abstractThe widely used Fast Microwave Ocean Surface Emissivity Model (FASTEM) does not include the interaction between small-scale and large-scale roughness, which seems to induce errors in the ocean surface emissivity estimation. In this study, we attempt to develop a new model that might be included in the FASTEM-like model. In the developed model, the large-scale roughness is expressed as a function of the local incidence angle (LIA) within the context of Fresnel reflection theory, incorporating the interactions between the small-scale and large-scale roughness into the fast ocean surface emissivity model, as done in the two-scale approach. With the new expression of the large-scale roughness, we also provide a more physically based form of the equation for the fast ocean surface emissivity calculation that includes the small-scale scattering over a geometrically rough surface. In addition, an algorithm for estimating two-scale roughness from the measured or modeled polarized emissivities in conjunction with the proposed fast ocean surface emissivity equation is provided. The results demonstrate that the interactions between two-scale roughness should be considered in order to estimate accurate two-scale roughness influences on the ocean surface emissivity.-
dc.language영어-
dc.publisherAmerican Meteorological Society-
dc.titleA New Description of Small-Scale and Large-Scale Roughness in the Fast Ocean Surface Emissivity Model-
dc.typeArticle-
dc.identifier.doi10.1175/JTECH-D-20-0065.1-
dc.citation.journaltitleJournal of Atmospheric and Oceanic Technology-
dc.identifier.wosid000646372600006-
dc.identifier.scopusid2-s2.0-85103824749-
dc.citation.endpage510-
dc.citation.number3-
dc.citation.startpage501-
dc.citation.volume38-
dc.description.isOpenAccessY-
dc.contributor.affiliatedAuthorLee, Sang-Moo-
dc.contributor.affiliatedAuthorSohn, Byung-Ju-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.subject.keywordPlusSEA-SURFACE-
dc.subject.keywordPlusMICROWAVE EMISSION-
dc.subject.keywordPlusWATER-
dc.subject.keywordPlusFOAM-
dc.subject.keywordPlusREFLECTION-
dc.subject.keywordPlusRETRIEVAL-
dc.subject.keywordPlusIMPACT-
dc.subject.keywordPlusSSM/I-
dc.subject.keywordAuthorOcean-
dc.subject.keywordAuthorSea-
dc.subject.keywordAuthorocean surface-
dc.subject.keywordAuthorWind-
dc.subject.keywordAuthorRadiative transfer-
dc.subject.keywordAuthorMicrowave observations-
dc.subject.keywordAuthorOcean models-
dc.subject.keywordAuthorWaves-
dc.subject.keywordAuthoroceanic-
dc.subject.keywordAuthorSatellite observations-
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  • College of Natural Sciences
  • Department of Earth and Environmental Sciences
Research Area Data Assimilation for Numerical Weather Prediction, Radiative Transfer Modeling, Satellite Remote Sensing

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