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Vista previaFecha de publicaciónTítuloAutor(es)
P18_Pulkkinen_3ENC2019.pdf.jpgabr-2019pysteps - a community-driven open-source library for precipitation nowcastingPulkkinen, Seppo; Nerini, Daniele; Pérez Hortal, Andrés, ...
P20_Ylhaisi_3ENC2019.pdf.jpgabr-2019First verification results from an analysis-forecast smoother applied at FMIYlhäisi, Jussi; Partio, Mikko; Perttula, Tuuli, ...
P04_Novak_3ENC2019.pdf.jpgabr-2019Utilization of 15-yr characteristics of weather radar and lightning data for improvement of Czech Hydrometeorological Institute’s convective storm nowcasting systemNovák, Petr; Kyznarová, Hana
P22_Oria_3ENC2019.pdf.jpgabr-2019Construction of a krigged precipitation field based on surface observations and remote sensing toolsOria Iriarte, Peio; Calbet, Xavier; Rípodas Agudo, Pilar, ...
P06_Posada_3ENC2019.pdf.jpgabr-2019Combination of object-based probabilistic nowcasting and NWP ensemblePosada, Rafael; Feger, Robert; Schultze, Markus, ...
P27_Musilova_3ENC2019.pdf.jpgabr-2019Nowcasting for the road maintenance during winter in the Czech Hydrometeorological InstituteMusilová, Lenka; Uhlíková, Tereza
P23_Jordi_3ENC2019.pdf.jpgabr-2019A new severe weather warnings system to very short term, based on the lightning jump techniqueMateo, Jordi; Aran, Montserrat; Farnell Barqué, Carme, ...
P28_Saltikoff_3ENC2019.pdf.jpgabr-2019Improving OPERA radar data for nowcastingSaltikoff, Elena; Nuottokari, Jaakko; Pulkkinen, Seppo
P05_Moisselin_3ENC2019.pdf.jpgabr-2019The CI and RDT NWCSAF convection productsMoisselin, Jean-Marc; Autones, Frédéric; Claudon, Michaël
P14_Kann_3ENC2019.pdf.jpgabr-2019On the impact of machine learning for nowcasting applicationsKann, Alexander; Schicker, Irene; Papazek, Petrina, ...
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