1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21d.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34T/476862B |
Repository | sid.inpe.br/mtc-m21d/2022/06.24.10.45 (restricted access) |
Last Update | 2022:06.24.10.45.05 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21d/2022/06.24.10.45.05 |
Metadata Last Update | 2023:01.03.16.46.08 (UTC) administrator |
DOI | 10.1051/swsc/2022015 |
ISSN | 2115-7251 |
Citation Key | MuralikrishnaSantViei:2022:ExPoSo |
Title | Exploring possibilities for solar irradiance prediction from solar photosphere images using recurrent neural networks |
Year | 2022 |
Month | June |
Access Date | 2024, May 19 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 2908 KiB |
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2. Context | |
Author | 1 Muralikrishna, Amita 2 Santos, Rafael Duarte Coelho dos 3 Vieira, Luís Eduardo Antunes |
Resume Identifier | 1 2 8JMKD3MGP5W/3C9JJ4N |
ORCID | 1 0000-0001-9669-0576 2 0000-0002-8313-6688 3 0000-0002-9376-475X |
Group | 1 COPDT-CGIP-INPE-MCTI-GOV-BR 2 COPDT-CGIP-INPE-MCTI-GOV-BR 3 DIHPA-CGCE-INPE-MCTI-GOV-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) |
Author e-Mail Address | 1 amita.mk@gmail.com 2 rafaeldcsantos@gmail.com 3 luis.vieira71@googlemail.com |
Journal | Journal of Space Weather and Space Climate |
Volume | 12 |
Number | 19 |
Secondary Mark | B5_GEOCIÊNCIAS |
History (UTC) | 2022-06-24 10:45:21 :: simone -> administrator :: 2022 2022-07-05 16:21:39 :: administrator -> simone :: 2022 2022-12-20 12:10:37 :: simone -> administrator :: 2022 2023-01-03 16:46:08 :: administrator -> simone :: 2022 |
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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 | Solar irradiance TSI SSI Recurrent neural network LSTM GRU |
Abstract | Studies of the Sun and the Earth's atmosphere and climate consider solar variability as an important driver, and its constant monitoring is essential for climate models. Solar total and spectral irradiance are among the main relevant parameters. Physical semi-empirical and empirical models have been developed and made available, and they are crucial for the reconstruction of irradiance during periods of data failure or their absence. However, ionospheric and climate models would also benefit from solar irradiance prediction through prior knowledge of irradiance values hours or days ahead. This paper presents a neural network-based approach, which uses images of the solar photosphere to extract sunspot and active region information and thus generate inputs for recurrent neural networks to perform the irradiance prediction. Experiments were performed with two recurrent neural network architectures for short- and long-term predictions of total and spectral solar irradiance at three wavelengths. The results show good quality of prediction for total solar irradiance (TSI) and motivate further effort in improving the prediction of each type of irradiance considered in this work. The results obtained for spectral solar irradiance (SSI) point out that photosphere images do not have the same influence on the prediction of all wavelengths tested but encourage the bet on new spectral lines prediction. |
Area | COMP |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCE > Exploring possibilities for... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGIP > Exploring possibilities for... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
Language | en |
Target File | swsc210045.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/46KTFK8 8JMKD3MGPCW/46KUES5 |
Citing Item List | sid.inpe.br/bibdigital/2022/04.03.23.11 5 sid.inpe.br/mtc-m21/2012/07.13.14.58.32 1 sid.inpe.br/bibdigital/2022/04.03.17.52 1 |
Dissemination | WEBSCI; PORTALCAPES; SCOPUS. |
Host Collection | urlib.net/www/2021/06.04.03.40 |
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6. Notes | |
Empty Fields | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes pages parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Description control | |
e-Mail (login) | simone |
update | |
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