Close

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/454U685
Repositorysid.inpe.br/mtc-m21d/2021/07.19.13.17
Last Update2021:07.19.13.17.49 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2021/07.19.13.17.49
Metadata Last Update2022:04.03.23.14.35 (UTC) administrator
Secondary KeyINPE--PRE/
Citation KeyCamposVelho:2021:NeNeNe
TitleNeural Network as a New Method for Data Assimilation
Year2021
Access Date2024, May 09
Secondary TypePRE CI
Number of Files1
Size45 KiB
2. Context
AuthorCampos Velho, Haroldo Fraga de
Resume Identifier8JMKD3MGP5W/3C9JHC3
GroupCOPDT-CGIP-INPE-MCTI-GOV-BR
AffiliationInstituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Addressharoldo.camposvelho@inpe.br
Conference NameMathematical Congress of the Americas (MCA)
Conference LocationOnline
Date19-23 July
Book TitleProceedings
History (UTC)2021-07-19 13:17:56 :: simone -> administrator :: 2021
2022-04-03 23:14:35 :: administrator -> simone :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
AbstractData 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).
AreaCOMP
ArrangementNeural Network as...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 19/07/2021 10:17 1.0 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W34T/454U685
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34T/454U685
Languageen
Target FileS20-02123-FragadeCamposVelho.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUES5
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.49.40 4
sid.inpe.br/bibdigital/2022/04.03.23.11 2
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
Empty Fieldsarchivingpolicy 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
7. Description control
e-Mail (login)simone
update 


Close