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<title lang=en>Potential of shipborne GPS atmospheric delay data for prediction of Mediterranean intense weather events</title>
<creator>Boniface, Karen</creator>
<creator>Champollion, Cedric</creator>
<creator>Chery, Jean</creator>
<creator>Ducrocq, V.</creator>
<creator>Rocken, C.</creator>
<creator>DOERFLINGER, Erik</creator>
<creator>Collard, Philippe</creator>
<contributor>Environment Canada, Dorval ; Université du Québec</contributor>
<contributor>Risques ; Géosciences Montpellier ; Université des Antilles et de la Guyane (UAG) - Institut national des sciences de l'Univers (INSU - CNRS) - Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS) - Université des Antilles et de la Guyane (UAG) - Institut national des sciences de l'Univers (INSU - CNRS) - Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>Groupe d'étude de l'atmosphère météorologique (CNRM-GAME) ; Institut national des sciences de l'Univers (INSU - CNRS) - Météo France - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>GPS Solutions, Inc., Boulder ; Université du Québec</contributor>
<description>International audience</description>
<source>ISSN: 1530-261X</source>
<source>EISSN: 1530-261X</source>
<source>Atmospheric Science Letters</source>
<publisher>Wiley</publisher>
<identifier>hal-00757776</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-00757776</identifier>
<source>https://hal.archives-ouvertes.fr/hal-00757776</source>
<source>Atmospheric Science Letters, Wiley, 2012, 13 (4), pp.250-256. 〈10.1002/asl.391〉</source>
<identifier>DOI : 10.1002/asl.391</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.1002/asl.391</relation>
<language>en</language>
<subject lang=it>GPS</subject>
<subject lang=it>precipitation</subject>
<subject lang=it>mesoscale meteorology</subject>
<subject>[SDU.STU.GP] Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]</subject>
<subject>[PHYS.PHYS.PHYS-GEO-PH] Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]</subject>
<subject>[SDE.MCG] Environmental Sciences/Global Changes</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>High spatial and temporal variability of mesoscale moisture fields is still a challenge for quantitative precipitation forecast within numerical weather prediction (NWP) models especially over ocean regions where observations are lacking. This study presents the comparison between integrated water vapor over the Mediterranean Sea determined from shipborne GPS, the NWP ALADIN/Météo-France model and MODIS retrieval during a 4-month campaign (autumn 2008). While moisture prediction of the NWP remains accurate during most of the observation period, there are significant periods with offsets between GPS data and model predictions. We analyze such events and discuss the associated meteorological situation. Copyright © 2012 Royal Meteorological Society</description>
<date>2012</date>
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