. . . . . "489260" . . "Sokol, Zbyn\u011Bk" . . . . . . . . "Nowcasting of 1-h precipitation using radar and NWP data"@en . . "P(GA205/04/0114), P(IBS3042101), Z(AV0Z30420517)" . "NL - Nizozemsko" . "200;211" . "RIV/68378289:_____/06:00042649!RIV07-AV0-68378289" . "[B8B4211C7D5A]" . . . "1-2" . "1"^^ . "RIV/68378289:_____/06:00042649" . "A multiple linear regression model complemented by a correction procedure (REG) is applied to nowcasting of 1-h precipitation for warm seasons. The model predictors are obtained from: (i) radar-derived precipitation in the squares; (ii) radar-derived precipitation advected by wind fields at the 700 hPa level produced by ALADIN/LACE NWP model forecast; (iii) variables derived from forecasts of the ALADIN/LACE NWP model. Results show that REG yields apparently better forecasts than simple advection ADV in terms of RMSE, correlation coefficients and categorical measures. Also local precipitation maxima have better positions with respect to the real ones."@en . "A multiple linear regression model complemented by a correction procedure (REG) is applied to nowcasting of 1-h precipitation for warm seasons. The model predictors are obtained from: (i) radar-derived precipitation in the squares; (ii) radar-derived precipitation advected by wind fields at the 700 hPa level produced by ALADIN/LACE NWP model forecast; (iii) variables derived from forecasts of the ALADIN/LACE NWP model. Results show that REG yields apparently better forecasts than simple advection ADV in terms of RMSE, correlation coefficients and categorical measures. Also local precipitation maxima have better positions with respect to the real ones." . "1"^^ . "Nowcasting of 1-h precipitation using radar and NWP data" . "P\u0159edpov\u011B\u010F hodinov\u00FDch sr\u00E1\u017Eek s pou\u017Eit\u00EDm radarov\u00FDch dat a p\u0159edpov\u011Bd\u00ED NWP modelu"@cs . "Nowcasting of 1-h precipitation using radar and NWP data"@en . "Journal of Hydrology" . "P\u0159edpov\u011B\u010F hodinov\u00FDch sr\u00E1\u017Eek s pou\u017Eit\u00EDm radarov\u00FDch dat a p\u0159edpov\u011Bd\u00ED NWP modelu"@cs . . "Nowcasting of 1-h precipitation using radar and NWP data" . "V\u00EDcerozm\u011Brn\u00FD regresn\u00ED model dopln\u011Bn\u00FD korek\u010Dn\u00ED procedurou (REG) je aplikov\u00E1n na p\u0159edpov\u011B\u010F 1hodinov\u00FDch sr\u00E1\u017Eek pro teplou polovinu roku. Modelov\u00E9 prediktory jsou odvozeny z: (i) radarov\u00FDch dat transformovan\u00FDch na sr\u00E1\u017Eky; (ii) radarov\u00FDch dat transformovan\u00FDch na sr\u00E1\u017Eky a advehovan\u00FDch polem v\u011Btru na hladin\u011B 700 hPa p\u0159edpov\u011Bd\u011Bn\u00FDm NWP modelem ALADIN/LACE; (iii) prognostick\u00FDch v\u00FDstup\u016F NWP modelu. V\u00FDsledky prokazuj\u00ED, \u017Ee model REG je p\u0159i porovn\u00E1n\u00ED p\u0159esnosti p\u0159edpov\u011Bdi pomoc\u00ED RMSE, korela\u010Dn\u00EDho koeficientu a kategorick\u00FDch sk\u00F3r\u016F v\u00FDrazn\u011B p\u0159esn\u011Bj\u0161\u00ED ne\u017E jednoduch\u00E1 advekce. REG tak\u00E9 p\u0159esn\u011Bji ur\u010Duje pozice lok\u00E1ln\u00EDch sr\u00E1\u017Ekov\u00FDch extr\u00E9m\u016F."@cs . "Precipitation forecast; Regression models; Nowcasting; Radar"@en . "328" . "12"^^ . . . "0022-1694" .