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dc.contributor.author Lee, Kiwook
dc.contributor.author Kudeki, Erhan
dc.contributor.author Reyes, Pablo M.
dc.contributor.author Lehmacher, Gerald A.
dc.contributor.author Milla, Marco
dc.coverage.spatial Jicamarca
dc.date.accessioned 2021-02-15T17:34:38Z
dc.date.available 2021-02-15T17:34:38Z
dc.date.issued 2019-12
dc.identifier.citation Lee, K., Kudeki, E., Reyes, P. M., Lehmacher, G. A. & Milla, M. (2019). Mesospheric wind estimation with the Jicamarca MST radar using spectral mainlobe identification.==$Radio Science, 54$==(12), 1222-1239. https://doi.org/10.1029/2019RS006892 es_ES
dc.identifier.govdoc index-oti2018
dc.identifier.uri http://hdl.handle.net/20.500.12816/4911
dc.description.abstract MST (mesosphere, stratosphere, troposphere) radar observations at Jicamarca use four antenna beams, one vertical, others tilted to the east, west, and south, to detect the scattered pulse returns from mesospheric heights (∼55–85 km). Doppler shifts of scattered returns, estimated by fitting the observed signal spectra by generalized Gaussian‐shaped models, are used to estimate mesospheric wind vectors. At some heights two spectral peaks are seen in which case a dual‐peaked model is fitted the spectrum. Dual peaks are more common for returns from the east and west tilted beams with stronger sidelobes. When sidelobe‐caused peaks are dominant and are mistaken for mainlobe peaks, wind errors occur since the estimation algorithm uses the pointing angle of the mainbeam. To avoid such errors we implemented a clustering‐based machine learning procedure to identify and use only the mainbeam components of dual peaked spectra. Wind estimates made before and after the procedure will be presented to assess the improvements achieved by this new method to be used routinely in Jicamarca mesospheric wind measurements and applied to past MST data. es_ES
dc.format application/pdf es_ES
dc.language.iso eng es_ES
dc.publisher American Geophysical Union es_ES
dc.relation.ispartof urn:issn:0048-6604
dc.rights info:eu-repo/semantics/closedAccess es_ES
dc.subject Radar es_ES
dc.subject Mesoespheric winds es_ES
dc.subject Mesosphere es_ES
dc.subject Stratosphere es_ES
dc.subject Troposphere es_ES
dc.title Mesospheric wind estimation with the Jicamarca MST radar using spectral mainlobe identification es_ES
dc.type info:eu-repo/semantics/article es_ES
dc.subject.ocde http://purl.org/pe-repo/ocde/ford#1.05.01 es_ES
dc.identifier.journal Radio Science es_ES
dc.description.peer-review Por pares es_ES
dc.identifier.doi https://doi.org/10.1029/2019RS006892 es_ES

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