Close

1. Identity statement
Reference TypeJournal Article
Sitemtc-m16d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP7W/38226GH
Repositorysid.inpe.br/mtc-m19@80/2010/08.02.12.34   (restricted access)
Last Update2010:08.02.12.38.12 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m19@80/2010/08.02.12.34.58
Metadata Last Update2018:06.05.04.36.57 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.1016/j.asr.2010.06.020
ISSN0273-1177
Citation KeyMcKinnellParCilAbdSou:2010:PrPrOc
TitlePredicting the probability of occurrence of spread-F over Brazil using neural networks
Year2010
Access Date2024, Apr. 27
Secondary TypePRE PI
Number of Files1
Size700 KiB
2. Context
Author1 McKinnell, L. A.
2 Paradza, L. A.
3 Cilliers, P. J.
4 Abdu, M. A.
5 Souza, J. R. de
Group1
2
3
4 DAE-CEA-INPE-MCT-BR
5 DAE-CEA-INPE-MCT-BR
Affiliation1 Dept. of Physics and Electronics, Rhodes University, P.O. Box 94, Grahamstown 6139, South Africa
2 Hermanus Magnetic Observatory, P.O. Box 32, Hermanus 7200, South Africa
3 Hermanus Magnetic Observatory, P.O. Box 32, Hermanus 7200, South Africa
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
JournalAdvances in Space Research
VolumeArticle in Press, Corrected Proof
Secondary MarkB4_ASTRONOMIA_/_FÍSICA B3_CIÊNCIAS_BIOLÓGICAS_I B1_ENGENHARIAS_III B1_ENGENHARIAS_IV B1_GEOCIÊNCIAS B1_INTERDISCIPLINAR
History (UTC)2011-05-24 23:23:34 :: m -> administrator :: 2010
2012-07-15 03:42:55 :: administrator -> banon :: 2010
2013-02-19 13:54:32 :: banon -> administrator :: 2010
2018-06-05 04:36:57 :: administrator -> m :: 2010
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsEquatorial
Spread-F
Ionosphere
Neural networks
Irregularities
AbstractThe probability of occurrence of spread-F can be modeled and predicted using neural networks (NNs). This paper presents a feasibility study into the development of a NN based model for the prediction of the probability of occurrence of spread-F over selected equatorial stations within the Brazilian sector. The input space included the day number (seasonal variation), hour (diurnal variation), sunspot number (measure of the solar activity), magnetic index (measure of the magnetic activity) and magnetic position. Twelve years of spread-F data from Brazil (covering the period 19781989) measured at the equatorial site Fortaleza (3.9°S, 38.45°W) and low latitude site Cachoeira Paulista (22.6°S, 45.0°W) are used in the development of an input space and NN architecture for the model. Spread-F data that is believed to be related to plasma bubble developments (range spread-F) was used in the development of the model. The model results show the probability of spread-F occurrence as a function of local time, season and latitude. Results from the Brazilian Sector NN (BSNN) based model are presented in this paper, as well as a comparative analysis with a Brazilian model developed for the same purpose.
AreaCEA
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDAE > Predicting the probability...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target Fileabdu1.pdf
User Groupadministrator
banon
m
Visibilityshown
Archiving Policydenypublisher denyfinaldraft24
Read Permissiondeny from all and allow from 150.163
5. Allied materials
Mirror Repositorysid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
Next Higher Units8JMKD3MGPCW/3ETL868
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Host Collectionsid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel documentstage e-mailaddress electronicmailaddress format isbn label lineage mark month nextedition notes number orcid pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url versiontype
7. Description control
e-Mail (login)m
update 


Close