Studying Anomalous Discrepancies between MODIS and CALIOP Cloud Observations CyberTraining: Big Data + High-Performance Computing + Atmospheric Sciences

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dc.contributor.authorAbraham, Christine
dc.contributor.authorNorman, Olivia
dc.contributor.authorShepherd, Erick
dc.contributor.authorZhang, Zhibo
dc.contributor.authorZheng, Jianyu
dc.date.accessioned2021-04-02T17:01:52Z
dc.date.available2021-04-02T17:01:52Z
dc.date.issued2020-03
dc.description.sponsorshipAcknowledgements: NSF, UMBC, HPCF
dc.description.urihttp://cybertraining.umbc.edu/presentations/CT2020Team2_Presentation.pdfen_US
dc.format.extent38 pagesen_US
dc.genrepresentations (communicative events)en_US
dc.identifierdoi:10.13016/m2ha7n-cijy
dc.identifier.citationAbraham, Christine; Norman, Olivia; Shepherd, Erick; Zhang, Zhibo; Zheng, Jianyu; Studying Anomalous Discrepancies between MODIS and CALIOP Cloud Observations CyberTraining: Big Data + High-Performance Computing + Atmospheric Sciences (2020); http://cybertraining.umbc.edu/presentations/CT2020Team2_Presentation.pdfen_US
dc.identifier.urihttp://hdl.handle.net/11603/21272
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Physics Department
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectUMBC High Performance Computing Facility (HPCF)en_US
dc.titleStudying Anomalous Discrepancies between MODIS and CALIOP Cloud Observations CyberTraining: Big Data + High-Performance Computing + Atmospheric Sciencesen_US
dc.typeTexten_US

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