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/454U685 |
Repository | sid.inpe.br/mtc-m21d/2021/07.19.13.17 |
Last Update | 2021:07.19.13.17.49 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21d/2021/07.19.13.17.49 |
Metadata Last Update | 2022:04.03.23.14.35 (UTC) administrator |
Secondary Key | INPE--PRE/ |
Citation Key | CamposVelho:2021:NeNeNe |
Title | Neural Network as a New Method for Data Assimilation |
Year | 2021 |
Access Date | 2024, May 09 |
Secondary Type | PRE CI |
Number of Files | 1 |
Size | 45 KiB |
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2. Context | |
Author | Campos Velho, Haroldo Fraga de |
Resume Identifier | 8JMKD3MGP5W/3C9JHC3 |
Group | COPDT-CGIP-INPE-MCTI-GOV-BR |
Affiliation | Instituto Nacional de Pesquisas Espaciais (INPE) |
Author e-Mail Address | haroldo.camposvelho@inpe.br |
Conference Name | Mathematical Congress of the Americas (MCA) |
Conference Location | Online |
Date | 19-23 July |
Book Title | Proceedings |
History (UTC) | 2021-07-19 13:17:56 :: simone -> administrator :: 2021 2022-04-03 23:14:35 :: administrator -> simone :: 2021 |
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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 |
Abstract | Data assimilation is an essential issue for all operational centers with focus on numerical weather prediction, hydrology, ocean circulation, environmental forecasting, space weather, and ionospheric dynamics. Several methods has been proposed for data assimilation based on Kalman filter, variational schemes, and particle filter. However, such strategies has very high computational effort. Our investigation is to apply a self-configuring supervised artificial neural network to address the data assimilation process, with significant reduction of the CPU-time. Results will be shown for different models: shallow water 2D for ocean circulation simulation, global spectral 3D meteorological models (SPEED, and COAPS-FSU), and a regional meteorological model (WRF-NCAR). |
Area | COMP |
Arrangement | Neural Network as... |
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://urlib.net/ibi/8JMKD3MGP3W34T/454U685 |
zipped data URL | http://urlib.net/zip/8JMKD3MGP3W34T/454U685 |
Language | en |
Target File | S20-02123-FragadeCamposVelho.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/46KUES5 |
Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.49.40 4 sid.inpe.br/bibdigital/2022/04.03.23.11 2 |
Host Collection | urlib.net/www/2021/06.04.03.40 |
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6. Notes | |
Empty Fields | archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format 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 |
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7. Description control | |
e-Mail (login) | simone |
update | |
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