Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/20.500.11765/14173
Adjustment of solid precipitation during the Filomena extreme snowfall event in Spain: from observations to “true precipitation”
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dc.contributor.authorBuisán Sanz, Samuel Tomáses_ES
dc.contributor.authorSerrano Notivoli, Robertoes_ES
dc.contributor.authorKochendorfer, Johnes_ES
dc.contributor.authorBello Millán, Francisco Javieres_ES
dc.date.accessioned2022-11-28T15:33:46Z-
dc.date.available2022-11-28T15:33:46Z-
dc.date.issued2022-
dc.identifier.citationBulletin of the American Meteorological Society. 2022, 103(11), p. E2570–E2578es_ES
dc.identifier.issn0003-0007-
dc.identifier.issn1520-0477-
dc.identifier.urihttp://hdl.handle.net/20.500.11765/14173-
dc.description.abstractOn January 2021, the heaviest snowfall in five decades hit central Spain, especially affecting Madrid. The city’s Barajas International Airport closed, along with a number of roads, and all trains to and from Madrid were cancelled. This storm was named Filomena by the Spanish Meteorological Agency (AEMET), and produced continuous snowfall in Spain on 7–10 January. The observed snow depth was around 50 cm in 24 h in Madrid, and even higher in other areas of Spain. However, the measured accumulation of national precipitation gauges was not consistent with the observed accumulated snow on the ground and with the modeled weather forecast. The undercatch of solid precipitation was the primary reason for this inconsistency. This undercatch was quantified using transfer functions developed from the World Meteorological Organization (WMO) Solid Precipitation Intercomparison Experiment (SPICE). Results show that an underestimation of 20%–30% of solid precipitation in large areas of Spain was observed, with some areas experiencing even larger differences. Without adjustments, it was impossible to accurately validate the model forecast. The adjusted precipitation was also more realistically distributed, and it was more consistent with all the damage that occurred. The same methods can be applied to other snowfall events occurring anywhere in the world, and also using different precipitation gauges and/or models. This an example of the type of extreme events that modelers, forecasters, and climatologists should be aware of to avoid misinterpreting differences between modeled precipitation, observed precipitation, and nowcasting.es_ES
dc.language.isoenges_ES
dc.publisherAmerican Meteorological Societyes_ES
dc.subjectSnowfalles_ES
dc.subjectGaugeses_ES
dc.subjectAutomatic weather stationses_ES
dc.subjectNowcastinges_ES
dc.subjectNumerical weather predictiones_ES
dc.subjectNumerical weather forecastinges_ES
dc.titleAdjustment of solid precipitation during the Filomena extreme snowfall event in Spain: from observations to “true precipitation”es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://doi.org/10.1175/BAMS-D-22-0012.1es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
Colecciones: Artículos científicos 2019-2022


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