Statistical and neural network-based AOD data fusion with Geostationary satellite instruments: GEMS, AMI, and GOCI-II.

Simple item page
dc.contributor.authorKim, Minseok
dc.contributor.authorKim, Jhoon
dc.contributor.authorLim, Hyunkwang
dc.contributor.authorLee, Seoyoung
dc.contributor.authorCho, Yeseul
dc.contributor.authorLee, Yun-Gon
dc.contributor.authorGo, Sujung
dc.contributor.authorLee, Kyunghwa
dc.date.accessioned2024-06-20T17:05:05Z
dc.date.available2024-06-20T17:05:05Z
dc.date.issued2024-03-08
dc.descriptionEGU General Assembly 2024, Vienna, Austria & Online | 14-19 April 2024
dc.description.urihttps://meetingorganizer.copernicus.org/EGU24/EGU24-6497.html
dc.format.extent1 page
dc.genreconference papers and proceedings
dc.identifierdoi:10.13016/m2uwiy-drml
dc.identifier.citationKim, M., Kim, J., Lim, H., Lee, S., Cho, Y., Lee, Y.-G., Go, S., and Lee, K.: Statistical and neural network-based AOD data fusion with Geostationary satellite instruments: GEMS, AMI, and GOCI-II., EGU General Assembly 2024, Vienna, Austria, 14-19 Apr 2024, EGU24-6497, https://doi.org/10.5194/egusphere-egu24-6497, 2024.
dc.identifier.urihttps://doi.org/10.5194/egusphere-egu24-6497
dc.identifier.urihttp://hdl.handle.net/11603/34644
dc.language.isoen_US
dc.publisherEGU
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.titleStatistical and neural network-based AOD data fusion with Geostationary satellite instruments: GEMS, AMI, and GOCI-II.
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-0223-309X

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
EGU24-6497-print.pdf
Size:
353.14 KB
Format:
Adobe Portable Document Format
Download

Collections

UMBC Faculty Collection
UMBC GESTAR II