| 1. Identity statement | ||||
| Reference Type | Conference Paper (Conference Proceedings) | |||
| Site | mtc-m21d.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34T/47A6P9B | |||
| Repository | sid.inpe.br/mtc-m21d/2022/07.18.17.48 | |||
| Last Update | 2022:07.18.17.48.42 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21d/2022/07.18.17.48.42 | |||
| Metadata Last Update | 2023:01.03.16.46.10 (UTC) administrator | |||
| Secondary Key | INPE--PRE/ | |||
| Citation Key | MarcheziDSJDSDAWLZ:2022:NeNeAp | |||
| Title | Predicting the ultra-low frequency plasma wave power using solar wind data: a neural network approach  | |||
| Format | On-line | |||
| Year | 2022 | |||
| Access Date | 2024, May 14 | |||
| Secondary Type | PRE CI | |||
| Number of Files | 1 | |||
| Size | 51 KiB | |||
| 2. Context | ||||
| Author | 1 Marchezi, José Paulo 2 Dai, Lei 3 Silva, Ligia Alves da 4 Jauer, Paulo Ricardo 5 Dal Lago, Alisson 6 Sibcek, David 7 Deggeroni, Vinícius 8 Alves, Livia Ribeiro 9 Wang, Chi 10 Li, Hui 11 Zhengkuan, Liu | |||
| Resume Identifier | 1 2 3 4 5 8JMKD3MGP5W/3C9JGH3 | |||
| Group | 1 2 3 DICEP-CGCE-INPE-MCTI-GOV-BR 4 DICEP-CGCE-INPE-MCTI-GOV-BR 5 DIHPA-CGCE-INPE-MCTI-GOV-BR 6 7 COESU-CGGO-INPE-MCTI-GOV-BR 8 DIHPA-CGCE-INPE-MCTI-GOV-BR | |||
| Affiliation | 1 Chinese Academy of Sciences (CAS) 2 Chinese Academy of Sciences (CAS) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 Instituto Nacional de Pesquisas Espaciais (INPE) 6 NASA GSFC 7 Instituto Nacional de Pesquisas Espaciais (INPE) 8 Instituto Nacional de Pesquisas Espaciais (INPE) 9 Chinese Academy of Sciences (CAS) 10 Chinese Academy of Sciences (CAS) 11 Chinese Academy of Sciences (CAS) | |||
| Author e-Mail Address | 1 jpmarchezi@gmail.com 2 ldai@spaceweather.ac.cn 3 ligia.alves01@gmail.com 4 pauloricardojauer@gmail.com 5 alisson.dallago@inpe.br 6 david.g.sibeck@nasa.gov 7 vinidegg@gmail.com 8 liviarib@gmail.com 9 cw@spaceweather.ac.cn 10 hli@spaceweather.ac.cn 11 liuzhengkuan@nssc.ac.cn | |||
| Conference Name | COSPAR Scientific Assembly, 44 | |||
| Conference Location | Athens, Greece | |||
| Date | 16-24 July 2022 | |||
| History (UTC) | 2022-07-18 17:48:42 :: simone -> administrator :: 2022-08-29 18:30:51 :: administrator -> simone :: 2022 2022-12-20 11:49:23 :: simone -> administrator :: 2022 2023-01-03 16:46:10 :: administrator -> simone :: 2022 | |||
| 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 | |||
| Abstract | Changes in the configuration of the suns magnetic field influence the properties of the solar wind and, consequently, all planets and spacecraft within the heliosphere. Amongst other effects, perturbations in the solar wind generate waves within the Earths magnetosphere that can interact with energetic particles trapped within the Earths magnetic field. Ultra-low frequency (ULF) waves in Earths magnetosphere transport and energize energetic electrons in the Van Allen outer radiation belt via radial diffusion. The main goal of this work is to conduct a statistical study of ULF wave occurrence patterns using ground-based magnetometer data at high latitudes and thereby estimate the power spectrum density of these ULF waves, which is needed to model the radiation belts. We also use observations from the solar wind at the L1 Lagrangian point over the course of two solar cycle phases. Finally, we use Recurrent Neural Networks to predict the ULF integrated power at latitudes that can be mapped to the Van Allen outer radiation belt. Therefore, this work helps improve estimates of the radiation belt electron diffusion coefficients corresponding to ULF waves, a crucial factor in any particle diffusion models for the outer radiation belt. | |||
| Area | CEA | |||
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCE > Predicting the ultra-low... | |||
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGGO > Predicting the ultra-low... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| data URL | http://mtc-m21d.sid.inpe.br/ibi/8JMKD3MGP3W34T/47A6P9B | |||
| zipped data URL | http://mtc-m21d.sid.inpe.br/zip/8JMKD3MGP3W34T/47A6P9B | |||
| Language | en | |||
| Target File | PRBEM.3-0006-22-nopref.pdf | |||
| User Group | simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Next Higher Units | 8JMKD3MGPCW/46KTFK8 8JMKD3MGPCW/46KUBT5 | |||
| Citing Item List | sid.inpe.br/bibdigital/2022/04.03.22.35 6 sid.inpe.br/mtc-m21/2012/07.13.14.39.46 3 | |||
| Host Collection | urlib.net/www/2021/06.04.03.40 | |||
| 6. Notes | ||||
| Empty Fields | archivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor isbn issn keywords label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||