Please use this identifier to cite or link to this item:
A new approach to sensitivity climatologies: the DTS-MEDEX-2009 campaign
Full metadata record
DC FieldValueLanguage
dc.contributor.authorJansà Clar, Agustíes_ES
dc.contributor.authorArbogast, Philippees_ES
dc.contributor.authorDoerenbecher, Alexises_ES
dc.contributor.authorGarcies, L.es_ES
dc.contributor.authorGenovés Tero, Anaes_ES
dc.contributor.authorHomar Santaner, Víctores_ES
dc.contributor.authorKlink, Stefanes_ES
dc.contributor.authorRichardson, Davides_ES
dc.contributor.authorSahin, C.es_ES
dc.identifier.citationNatural Hazards and Earth System Sciences. 2011, 11(9), p. 2381-2390es_ES
dc.description.abstractAdaptive observation is an approach to improving the quality of numerical weather forecasts through the optimization of observing networks. It is sometimes referred to as Data Targeting (DT). This approach has been applied to high impact weather during specific field campaigns in the past decade. Adaptive observations may involve various types of observations, including either specific research observing platforms or routine observing platforms employed in an adaptive way. The North-Atlantic TReC 2003 and the EURORISK-PREVIEW 2008 exercises focused on the North-Atlantic and Western Europe areas using mainly routine observing systems. These campaigns also included Mediterranean cases.es_ES
dc.description.sponsorshipThis work has received partial support from the MEDICANES/1 CGL200801271 project.-
dc.publisherEuropean Geosciences Uniones_ES
dc.rightsLicencia CC: Reconocimiento CC BYes_ES
dc.subjectNumerical weather forecastses_ES
dc.subjectMediterranean climatologyes_ES
dc.titleA new approach to sensitivity climatologies: the DTS-MEDEX-2009 campaignes_ES
Appears in Collections:Artículos científicos 2010-2014

Files in This Item:
  File Description SizeFormat 
901,54 kBAdobe PDFThumbnail
Show simple item record

Items in Arcimis are protected by Creative Commons License, unless otherwise indicated.

Arcimis Repository
Nota Legal Contacto y sugerencias