About: Estimations of Initial Errors Growth in Weather Prediction by Low-dimensional Atmospheric Model

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Estimations of Initial Errors Growth in Weather Prediction by Low-dimensional Atmospheric Model Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.springer.com/gp/book/9783319074009
Description	Initial errors in weather prediction grow in time. As errors become larger, their growth slows down and then stops at an asymptotic value. Time of reaching this value represents the limit of predictability. Other time limits that measure the error growth are doubling time τd, and times when the forecast error reaches 95%, 71%, 50%, and 25% of the limit of predictability. This paper studies asymptotic value and time limits in a low-dimensional atmospheric model for five initial errors, using ensemble prediction method as well as error approximation by quadratic and logarithmic hypothesis. We show that quadratic hypothesis approximates the model data better for almost all initial errors and time lengths. We also demonstrate that both hypotheses can be further improved to achieve even better match of the asymptotic value and time limits with the model. Initial errors in weather prediction grow in time. As errors become larger, their growth slows down and then stops at an asymptotic value. Time of reaching this value represents the limit of predictability. Other time limits that measure the error growth are doubling time τd, and times when the forecast error reaches 95%, 71%, 50%, and 25% of the limit of predictability. This paper studies asymptotic value and time limits in a low-dimensional atmospheric model for five initial errors, using ensemble prediction method as well as error approximation by quadratic and logarithmic hypothesis. We show that quadratic hypothesis approximates the model data better for almost all initial errors and time lengths. We also demonstrate that both hypotheses can be further improved to achieve even better match of the asymptotic value and time limits with the model. (en)
Title	Estimations of Initial Errors Growth in Weather Prediction by Low-dimensional Atmospheric Model Estimations of Initial Errors Growth in Weather Prediction by Low-dimensional Atmospheric Model (en)
skos:prefLabel	Estimations of Initial Errors Growth in Weather Prediction by Low-dimensional Atmospheric Model Estimations of Initial Errors Growth in Weather Prediction by Low-dimensional Atmospheric Model (en)
skos:notation	RIV/00216208:11320/14:10292089!RIV15-MSM-11320___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...iv/cisloPeriodika	289
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Raidl, Aleš Bednář, Hynek Mikšovský, Jiří
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Karlova v Praze / Matematicko-fyzikální fakulta
http://linked.open...dnocenehoVysledku	15090
http://linked.open...ai/riv/idVysledku	RIV/00216208:11320/14:10292089
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Model; Atmospheric; Low-dimensional; Prediction; Weather; Growth; Errors; Initial; Estimations (en)
http://linked.open.../riv/klicoveSlovo	Estimations Prediction Atmospheric Errors Low-dimensional Weather Model Initial Growth
http://linked.open...odStatuVydavatele	CH - Švýcarská konfederace
http://linked.open...ontrolniKodProRIV	[CC87F4087B2A]
http://linked.open...i/riv/nazevZdroje	Advances in Intelligent Systems and Computing
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2014
http://linked.open...v/svazekPeriodika	2014
http://linked.open...iv/tvurceVysledku	Bednář, Hynek Raidl, Aleš Mikšovský, Jiří
issn	2194-5357
number of pages	10 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-319-07401-6_2
http://localhost/t...ganizacniJednotka	11320

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 24 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software