| 1. Identificação | ||||
| Tipo de Referência | Artigo em Evento (Conference Proceedings) | |||
| Site | mtc-m21c.sid.inpe.br | |||
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identificador | 8JMKD3MGP3W34R/3QTFG7E | |||
| Repositório | sid.inpe.br/mtc-m21c/2018/04.16.13.05 | |||
| Repositório de Metadados | sid.inpe.br/mtc-m21c/2018/04.16.13.05.46 | |||
| Última Atualização dos Metadados | 2020:12.07.21.11.28 (UTC) administrator | |||
| Chave Secundária | INPE--PRE/ | |||
| Chave de Citação | CaraballoAlveHartBarb:2018:PRCO | |||
| Título | Benchmarking GIC estimates at low latitudes using data by second: PROS and CONS  | |||
| Ano | 2018 | |||
| Data de Acesso | 12 maio 2024 | |||
| Tipo Secundário | PRE CI | |||
| 2. Contextualização | ||||
| Autor | 1 Caraballo, Ramon 2 Alves, Livia Ribeiro 3 Hartmann, G. 4 Barbosa, Cleiton | |||
| Grupo | 1 2 DIDGE-CGCEA-INPE-MCTIC-GOV-BR | |||
| Afiliação | 1 Universidad de la República del Uruguay 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Universidade Estadual de Campinhas (UNICAMP) 4 Observatório Nacional (ON/MCTI) | |||
| Endereço de e-Mail do Autor | 1 2 livia.alves@inpe.br | |||
| Nome do Evento | Latin American Conference on Space Geophysics, 11 (COLAGE) | |||
| Localização do Evento | Buenos Aires, Argentina | |||
| Data | 16-20 abr. | |||
| Histórico (UTC) | 2018-04-16 13:06:26 :: simone -> administrator :: 2018 2018-04-18 05:03:01 :: administrator -> administrator] :: 2018 2018-04-18 05:03:01 :: administrator] -> administrator :: 2018 2019-01-04 16:57:03 :: administrator -> simone :: 2018 2019-01-07 11:03:38 :: simone -> administrator :: 2018 2020-12-07 21:11:28 :: administrator -> simone :: 2018 | |||
| 3. Conteúdo e estrutura | ||||
| É a matriz ou uma cópia? | é a matriz | |||
| Estágio do Conteúdo | concluido | |||
| Transferível | 1 | |||
| Tipo do Conteúdo | External Contribution | |||
| Resumo | Geomagnetic Induced currents (GIC) are becoming a common subject of study at low-to-mid latitude around the world. Also, a crescent observational evidence supporting the existence of significative GIC estimates or measures on several infrastructures. Several works have been published in the last four years addressing GIC modeling or measurements. Mostly of the GIC studies rely on three key inputs: geomagnetic data, geophysical data and electrical parameters of the system under study. From this point of view, geomagnetic data quality is rarely mentioned, maybe by the fact that the most used geomagnetic data comes in form of oneminute means. Usually, one-minute means can be obtained by a standard procedures mainly based on those provided by IAGA for all magnetic observatories around the world which are part of the INTERMAGNET network. Despite it is a great advantage to get data from more than 250 magnetic observatories around the world in a common format, one-second data it is still scarce and only available from a reduced number of observatories on South America under request. Geomagnetic variations at a one-minute sampling period is too slow to catch the high frequency parts of the geomagnetic spectrum. When dealing with the geomagnetic variations close to the storm onset, where sudden impulses are more prone to occur, one-minute data might not be sufficient faster to take account of the rapid change in the field components. As a result, the estimated GIC often underestimates the real one. As the geomagnetic variations are the first input in any GIC calculations, they exerts a great leverage on the final results. No matter the averaging method used to produce one-minute data, they produce a strong smoothing by filtering much of the rapid time variations on the original signal. Mostly of the fine grained structures on the magnetograms are lost in this process leading to a rather flattened version of the original signal. As the sampling frequency increases the more detailed structures in the geomagnetic variations leads to more weird peaks in the calculated GIC. Here, we address this problem intending to assess the fraction of signal power lost by the use of one-minute data. The methodology used consisted in assess the estimated GIC for two specific power grids in Uruguay and Brazil, respectively, during three major geomagnetic storms of the solar cycle 24. The GIC calculated using both one-minute and one-second data respectively, for those power grids was compared to study the effect in the final estimates. In this case, the round mean square (rms) of differences and the power spectral density of both results can provide and outlook of the fraction of energy lost by the averaging process in the one-minute case. In order to provide the best estimation possible which result in a valuable tool for the forecasting GIC events. | |||
| Área | CEA | |||
| Arranjo | Benchmarking GIC estimates... | |||
| Conteúdo da Pasta doc | não têm arquivos | |||
| Conteúdo da Pasta source | não têm arquivos | |||
| Conteúdo da Pasta agreement |
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| 4. Condições de acesso e uso | ||||
| Idioma | en | |||
| Grupo de Usuários | simone | |||
| Grupo de Leitores | administrator simone | |||
| Visibilidade | shown | |||
| Permissão de Atualização | não transferida | |||
| 5. Fontes relacionadas | ||||
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/3EU29DP | |||
| Acervo Hospedeiro | urlib.net/www/2017/11.22.19.04 | |||
| 6. Notas | ||||
| Campos Vazios | archivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark mirrorrepository nextedition notes numberoffiles numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readpermission resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle size sponsor subject targetfile tertiarymark tertiarytype type url versiontype volume | |||
| 7. Controle da descrição | ||||
| e-Mail (login) | simone | |||
| atualizar | ||||