| 1. Identity statement | |
| Reference Type | Journal Article |
| Site | plutao.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | J8LNKAN8RW/37NR46H |
| Repository | dpi.inpe.br/plutao@80/2010/06.25.16.28.54 (restricted access) |
| Last Update | 2011:02.23.19.20.04 (UTC) marciana |
| Metadata Repository | dpi.inpe.br/plutao@80/2010/06.25.16.28.55 |
| Metadata Last Update | 2021:07.28.21.27.17 (UTC) administrator |
| Secondary Key | INPE--PRE/ |
| DOI | 10.1029/2009SW000532 |
| ISSN | 1539-4956 |
| Label | lattes: 4555952412875598 1 RezendePaStKaMuSiCo:2010:SuPrIo |
| Citation Key | RezendePaStKaMuSiCo:2010:SuPrIo |
| Title | Survey and prediction of the ionospheric scintillation using data mining techniques  |
| Year | 2010 |
| Month | June |
| Access Date | 2024, Apr. 28 |
| Secondary Type | PRE PI |
| Number of Files | 1 |
| Size | 2244 KiB |
| 2. Context | |
| Author | 1 Rezende, Luiz Felipe Campos de 2 Paula, E. R. 3 Stephany, Stephan 4 Kantor, I. J. 5 Muella, M. T. A. H. 6 Siqueira, P. M. 7 Correa, K. S. |
| Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JJ9D |
| Group | 1 DAE-CEA-INPE-MCT-BR 2 DAE-CEA-INPE-MCT-BR 3 LAC-CTE-INPE-MCT-BR 4 DAE-CEA-INPE-MCT-BR |
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Instituto Nacional de Pesquisas Espaciais (INPE) |
| Author e-Mail Address | 1 luizfelipe@dae.inpe.br |
| e-Mail Address | luizfelipe@dae.inpe.br |
| Journal | Space Weather |
| Volume | 8 |
| Pages | S06D09 |
| Secondary Mark | B3_ASTRONOMIA_/_FÍSICA B1_GEOCIÊNCIAS |
| History (UTC) | 2010-06-29 12:04:22 :: lattes -> marciana :: 2010 2010-07-05 12:34:53 :: marciana -> administrator :: 2010 2010-11-17 21:31:14 :: administrator -> marciana :: 2010 2011-02-23 19:20:05 :: marciana -> administrator :: 2010 2012-07-25 15:59:33 :: administrator -> marciana :: 2010 2013-02-06 11:03:41 :: marciana -> administrator :: 2010 2021-07-28 21:27:17 :: administrator -> marciana :: 2010 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Content Type | External Contribution |
| Version Type | publisher |
| Keywords | Data Mining ionospheric scintillation Bagging GPS Solar Cycle prediction |
| Abstract | rregularly structured ionospheric regions may cause amplitude and phase fluctuations of radio signals. Such distortion is called ionospheric scintillation. These ionospheric irregularities occur as part of depleted plasma density regions that are generated at the magnetic equator after sunset by equatorial ionospheric plasma instability mechanism. Also known as ionospheric bubbles, they drift upward to high altitudes at the equator and extend/expand to low latitudes along the Earth magnetic field lines. Ionospheric irregularities affect the space weather since they present large variations with the solar cycle and during solar flares and coronal mass ejections. In general, navigation systems such as the Global Positioning System and telecommunications systems are also affected by the scintillation. The aim of this work is to apply data mining for the prediction of ionospheric scintillation. Data mining can be divided into two categories: descriptive or predictive. The first one describes a data set in a concise and summarized way, while the second one, used in this work, analyzes the data to build a model and tries to predict the behavior of a new data set. In this study we employed data series of ionospheric scintillation and other parameters such as the level of solar activity, vertical drift velocity of the plasma at the magnetic equator, and magnetic activity. The results show that prediction of the ionospheric scintillation occurrence during the analyzed period was possible regardless of the high variability of the ionospheric parameters that affect the generation of such irregularities. |
| Area | COMP |
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Survey and prediction... |
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDAE > Survey and prediction... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| Language | en |
| Target File | 2009SW000532.pdf |
| User Group | administrator lattes marciana |
| Visibility | shown |
| Archiving Policy | denypublisher denyfinaldraft |
| Read Permission | deny from all and allow from 150.163 |
| Update Permission | not transferred |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPCW/3ESGTTP 8JMKD3MGPCW/3ETL868 |
| Dissemination | WEBSCI; AGU. |
| Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
| 6. Notes | |
| Notes | Setores de Atividade: Atividades profissionais, científicas e técnicas, Outras atividades profissionais, científicas e técnicas. |
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark mirrorrepository nextedition number orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url |
| 7. Description control | |
| e-Mail (login) | marciana |
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