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Statements

Subject Item
n2:RIV%2F68378289%3A_____%2F12%3A00373508%21RIV12-AV0-68378289
rdf:type
skos:Concept n11:Vysledek
rdfs:seeAlso
http://dx.doi.org/10.1016/j.atmosres.2011.07.013
dcterms:description
This article describes a model SAM for nowcasting precipitation in the Czech Republic. The model is based on an advective-statistical algorithm and utilises radar, satellite, lightning and numerice weather prediction (NWP) model prognostic data. The statistical part of the model is complemented by a distribution correction of forecasted values. The model provides forecasts for mean 1-h, 2-h and 3-h precipitation totals in 9 km by 9 km grid cells. The accuracy of the forecasts is evaluated with independent data by the root-mean-square error, absolute error, bias, and the critical success index (CSI) categorical skill score after transforming the quantitative forecasts into categorical forecasts. Results that the SAM model yielded more accurate predictions than the COTREC model, which is operationally calculated in the Czech hydrometeorological institute, for almost all forecast accuracy statistics considered. This article describes a model SAM for nowcasting precipitation in the Czech Republic. The model is based on an advective-statistical algorithm and utilises radar, satellite, lightning and numerice weather prediction (NWP) model prognostic data. The statistical part of the model is complemented by a distribution correction of forecasted values. The model provides forecasts for mean 1-h, 2-h and 3-h precipitation totals in 9 km by 9 km grid cells. The accuracy of the forecasts is evaluated with independent data by the root-mean-square error, absolute error, bias, and the critical success index (CSI) categorical skill score after transforming the quantitative forecasts into categorical forecasts. Results that the SAM model yielded more accurate predictions than the COTREC model, which is operationally calculated in the Czech hydrometeorological institute, for almost all forecast accuracy statistics considered.
dcterms:title
Nowcasting of precipitation – Advective statistical forecast model (SAM) for the Czech Republic Nowcasting of precipitation – Advective statistical forecast model (SAM) for the Czech Republic
skos:prefLabel
Nowcasting of precipitation – Advective statistical forecast model (SAM) for the Czech Republic Nowcasting of precipitation – Advective statistical forecast model (SAM) for the Czech Republic
skos:notation
RIV/68378289:_____/12:00373508!RIV12-AV0-68378289
n11:predkladatel
n12:ico%3A68378289
n3:aktivita
n16:Z n16:P
n3:aktivity
P(GA205/07/0905), P(ME09033), Z(AV0Z30420517)
n3:cisloPeriodika
-
n3:dodaniDat
n9:2012
n3:domaciTvurceVysledku
n17:7952252 n17:4518543
n3:druhVysledku
n20:J
n3:duvernostUdaju
n14:S
n3:entitaPredkladatele
n15:predkladatel
n3:idSjednocenehoVysledku
154912
n3:idVysledku
RIV/68378289:_____/12:00373508
n3:jazykVysledku
n4:eng
n3:klicovaSlova
Precipitation forecast; Statistical models; Regression; Quantitative precipitation forecast; Extrapolation forecast
n3:klicoveSlovo
n10:Quantitative%20precipitation%20forecast n10:Precipitation%20forecast n10:Statistical%20models n10:Regression n10:Extrapolation%20forecast
n3:kodStatuVydavatele
NL - Nizozemsko
n3:kontrolniKodProRIV
[2251657381E5]
n3:nazevZdroje
Atmospheric Research
n3:obor
n5:DG
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n7:ME09033 n7:GA205%2F07%2F0905
n3:rokUplatneniVysledku
n9:2012
n3:svazekPeriodika
103
n3:tvurceVysledku
Sokol, Zbyněk Pešice, Petr
n3:wos
000298776600008
n3:zamer
n21:AV0Z30420517
s:issn
0169-8095
s:numberOfPages
10
n18:doi
10.1016/j.atmosres.2011.07.013