Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/11811
The use of GPS to validate NWP systems: the HIRLAM model
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCucurull, L.es_ES
dc.contributor.authorNavascués, Beatrizes_ES
dc.contributor.authorRuffini, G.es_ES
dc.contributor.authorElósegui, P.es_ES
dc.contributor.authorRius, A.es_ES
dc.contributor.authorVila, Jordies_ES
dc.date.accessioned2020-05-13T11:47:05Z-
dc.date.available2020-05-13T11:47:05Z-
dc.date.issued2000-
dc.identifier.citationJournal of Atmospheric and Oceanic Technology. 2000, 17, p. 773–787es_ES
dc.identifier.issn0739-0572-
dc.identifier.issn1520-0426-
dc.identifier.urihttp://hdl.handle.net/20.500.11765/11811-
dc.description.abstractA meteorological synoptic situation using Global Positioning System (GPS) observations and a numerical weather prediction (NWP) model in the vicinity of the Madrid Sierra, Spain, between 2 and 15 December 1996 has been studied. The experiment was characterized by high precipitable water (PW) values associated to rainfall events. The PW was estimated at the level of 1 mm with five GPS receivers to study the passage of a winter frontal system. The GPS network had baselines ranging from 5 to 50 km. These observations have been used to study the spatial and temporal variations of PW. For this same location and time period, PW calculations were carried out by HIRLAM (High-Resolution Limited Area Modeling), the hydrostatic NWP system operational at the Spanish National Weather Service. HIRLAM has been run in two modes: analysis (HIRLAM/A) and forecast (HIRLAM/F). The comparison of PW values obtained using GPS and high-resolution HIRLAM/A shows a PW bias of 20.4 mm (GPS-derived PW higher), and a root-mean-square (rms) difference of 2 mm (relative agreement of 85%), which is in agreement with the standard deviation of each method. A similar comparison between GPS and the high-resolution HIRLAM/F results in a bias and rms that increase when extending the forecast range up to a bias of 21.2 mm and an rms of 3 mm (relative agreement of 78%) for the longest forecast range studied, which is 24 h. Radiosonde profiles from a location near one of the sites of the GPS network have also been used to estimate PW. The PW bias and rms that result from comparing this data to the previous two methods are 21 and 1.6 mm (relative agreement of 88%) between GPS and radiosondes, and 21.2 and 1.3 mm (relative agreement of 90%) between radiosonde and HIRLAM/A. The PW estimated from GPS is probed to be an accurate measurement to validate NWP models. The study also shows that GPS measurements can detect small-scale fluctuations and therefore can be used to evaluate NWP models with finer resolution.es_ES
dc.description.sponsorshipThis work was supported by Spanish Climate CICYT Grant CLI95-1781, EC Grant WAVEFRONT PL-952007, and MAGIC PL-972065.es_ES
dc.language.isoenges_ES
dc.publisherAmerican Meteorological Societyes_ES
dc.subjectHIRLAM modeles_ES
dc.subjectNumerical weather predictiones_ES
dc.subjectGlobal Positioning Systemes_ES
dc.titleThe use of GPS to validate NWP systems: the HIRLAM modeles_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://dx.doi.org/10.1175/1520-0426(2000)017<0773:TUOGTV>2.0.CO;2es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
Appears in Collections:Artículos científicos 2000-2004


Files in This Item:
  File Description SizeFormat 
On_the_use_of_GPS.pdf
284,06 kBAdobe PDFThumbnail
View/Open
Show simple item record



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

Arcimís Repository
Nota Legal Contacto y sugerencias