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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F13%3A10195620%21RIV14-MSM-11320___
rdf:type
skos:Concept n17:Vysledek
rdfs:seeAlso
http://link.springer.com/chapter/10.1007%2F978-3-319-00542-3_34
dcterms:description
This paper studies an error growth in a low-dimensional atmospheric model after the initial exponential divergence died away. We test cubic, quartic and logarithmic hypotheses by ensemble prediction method. Furthermore quadratic hypothesis that was suggested by Lorenz in 1969 is compared with the ensemble prediction method. The study shows that a small error growth is best modeled by the quadratic hypothesis. After the initial error exceeds about a half of the error saturation value, logarithmic approximation becomes superior. This paper studies an error growth in a low-dimensional atmospheric model after the initial exponential divergence died away. We test cubic, quartic and logarithmic hypotheses by ensemble prediction method. Furthermore quadratic hypothesis that was suggested by Lorenz in 1969 is compared with the ensemble prediction method. The study shows that a small error growth is best modeled by the quadratic hypothesis. After the initial error exceeds about a half of the error saturation value, logarithmic approximation becomes superior.
dcterms:title
Initial Errors Growth in Chaotic Low-Dimensional Weather Prediction Model Initial Errors Growth in Chaotic Low-Dimensional Weather Prediction Model
skos:prefLabel
Initial Errors Growth in Chaotic Low-Dimensional Weather Prediction Model Initial Errors Growth in Chaotic Low-Dimensional Weather Prediction Model
skos:notation
RIV/00216208:11320/13:10195620!RIV14-MSM-11320___
n17:predkladatel
n18:orjk%3A11320
n3:aktivita
n14:Z n14:S
n3:aktivity
S, Z(MSM0021620860)
n3:cisloPeriodika
210
n3:dodaniDat
n9:2014
n3:domaciTvurceVysledku
n12:6598986 n12:4972570 n12:6222536
n3:druhVysledku
n19:J
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n10:predkladatel
n3:idSjednocenehoVysledku
80230
n3:idVysledku
RIV/00216208:11320/13:10195620
n3:jazykVysledku
n4:eng
n3:klicovaSlova
Model; Prediction; Weather; Low-Dimensional; Chaotic; Growth; Errors; Initial
n3:klicoveSlovo
n7:Initial n7:Low-Dimensional n7:Weather n7:Model n7:Errors n7:Growth n7:Chaotic n7:Prediction
n3:kodStatuVydavatele
CH - Švýcarská konfederace
n3:kontrolniKodProRIV
[007EAE5149E8]
n3:nazevZdroje
Advances in Intelligent Systems and Computing
n3:obor
n11:DG
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n9:2013
n3:svazekPeriodika
2013
n3:tvurceVysledku
Mikšovský, Jiří Bednář, Hynek Raidl, Aleš
n3:zamer
n21:MSM0021620860
s:issn
2194-5357
s:numberOfPages
10
n15:doi
10.1007/978-3-319-00542-3_34
n20:organizacniJednotka
11320