Analysis of sub seasonal streamflow forecasts for hpps reservoirs at south america based on ecmwf and gefs models data

Detalhes bibliográficos
Autor(a) principal: Paranhos, Cassia Silmara Aver
Data de Publicação: 2023
Outros Autores: Freitas, Camila, Quedi, Erik Schmitt, Fan, Fernando Mainardi, Siqueira, Vinícius Alencar, Collischonn, Walter, Gama, Cléber Henrique Araújo, Petry, Ingrid, Silveira, Reinaldo Bomfim da
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/256803
id UFRGS-2_c49b8be09e1378cab7cb2d7cfddb08b1
oai_identifier_str oai:www.lume.ufrgs.br:10183/256803
network_acronym_str UFRGS-2
network_name_str Repositório Institucional da UFRGS
repository_id_str
spelling Paranhos, Cassia Silmara AverFreitas, CamilaQuedi, Erik SchmittFan, Fernando MainardiSiqueira, Vinícius AlencarCollischonn, WalterGama, Cléber Henrique AraújoPetry, IngridSilveira, Reinaldo Bomfim daEuropean Geoscience Union. General Assembly. (2023 : Vienna : On-line)2023-04-07T03:26:08Z2023http://hdl.handle.net/10183/256803001165725application/pdfengEuropean Geoscience Union. General Assembly (2023 : Vienna : On-line). [Programme]. [Göttingen : Copernicus, 2023]Previsão hidrológicaPrevisão de vazõesModelos hidrológicosEnergia elétrica : GeraçãoReservatóriosAnalysis of sub seasonal streamflow forecasts for hpps reservoirs at south america based on ecmwf and gefs models dataEstrangeiroinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001165725.pdf.txt001165725.pdf.txtExtracted Texttext/plain4063http://www.lume.ufrgs.br/bitstream/10183/256803/2/001165725.pdf.txtfd8ae9b993128251bbb4a5a90c3a22d9MD52ORIGINAL001165725.pdfResumoapplication/pdf297902http://www.lume.ufrgs.br/bitstream/10183/256803/1/001165725.pdfc1a7c290117a467ed402c661e7e597f0MD5110183/2568032023-05-19 03:45:19.561009oai:www.lume.ufrgs.br:10183/256803Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2023-05-19T06:45:19Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Analysis of sub seasonal streamflow forecasts for hpps reservoirs at south america based on ecmwf and gefs models data
title Analysis of sub seasonal streamflow forecasts for hpps reservoirs at south america based on ecmwf and gefs models data
spellingShingle Analysis of sub seasonal streamflow forecasts for hpps reservoirs at south america based on ecmwf and gefs models data
Paranhos, Cassia Silmara Aver
Previsão hidrológica
Previsão de vazões
Modelos hidrológicos
Energia elétrica : Geração
Reservatórios
title_short Analysis of sub seasonal streamflow forecasts for hpps reservoirs at south america based on ecmwf and gefs models data
title_full Analysis of sub seasonal streamflow forecasts for hpps reservoirs at south america based on ecmwf and gefs models data
title_fullStr Analysis of sub seasonal streamflow forecasts for hpps reservoirs at south america based on ecmwf and gefs models data
title_full_unstemmed Analysis of sub seasonal streamflow forecasts for hpps reservoirs at south america based on ecmwf and gefs models data
title_sort Analysis of sub seasonal streamflow forecasts for hpps reservoirs at south america based on ecmwf and gefs models data
author Paranhos, Cassia Silmara Aver
author_facet Paranhos, Cassia Silmara Aver
Freitas, Camila
Quedi, Erik Schmitt
Fan, Fernando Mainardi
Siqueira, Vinícius Alencar
Collischonn, Walter
Gama, Cléber Henrique Araújo
Petry, Ingrid
Silveira, Reinaldo Bomfim da
author_role author
author2 Freitas, Camila
Quedi, Erik Schmitt
Fan, Fernando Mainardi
Siqueira, Vinícius Alencar
Collischonn, Walter
Gama, Cléber Henrique Araújo
Petry, Ingrid
Silveira, Reinaldo Bomfim da
author2_role author
author
author
author
author
author
author
author
dc.contributor.event.pt_BR.fl_str_mv European Geoscience Union. General Assembly. (2023 : Vienna : On-line)
dc.contributor.author.fl_str_mv Paranhos, Cassia Silmara Aver
Freitas, Camila
Quedi, Erik Schmitt
Fan, Fernando Mainardi
Siqueira, Vinícius Alencar
Collischonn, Walter
Gama, Cléber Henrique Araújo
Petry, Ingrid
Silveira, Reinaldo Bomfim da
dc.subject.por.fl_str_mv Previsão hidrológica
Previsão de vazões
Modelos hidrológicos
Energia elétrica : Geração
Reservatórios
topic Previsão hidrológica
Previsão de vazões
Modelos hidrológicos
Energia elétrica : Geração
Reservatórios
publishDate 2023
dc.date.accessioned.fl_str_mv 2023-04-07T03:26:08Z
dc.date.issued.fl_str_mv 2023
dc.type.driver.fl_str_mv Estrangeiro
info:eu-repo/semantics/conferenceObject
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10183/256803
dc.identifier.nrb.pt_BR.fl_str_mv 001165725
url http://hdl.handle.net/10183/256803
identifier_str_mv 001165725
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv European Geoscience Union. General Assembly (2023 : Vienna : On-line). [Programme]. [Göttingen : Copernicus, 2023]
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRGS
instname:Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
instname_str Universidade Federal do Rio Grande do Sul (UFRGS)
instacron_str UFRGS
institution UFRGS
reponame_str Repositório Institucional da UFRGS
collection Repositório Institucional da UFRGS
bitstream.url.fl_str_mv http://www.lume.ufrgs.br/bitstream/10183/256803/2/001165725.pdf.txt
http://www.lume.ufrgs.br/bitstream/10183/256803/1/001165725.pdf
bitstream.checksum.fl_str_mv fd8ae9b993128251bbb4a5a90c3a22d9
c1a7c290117a467ed402c661e7e597f0
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)
repository.mail.fl_str_mv
_version_ 1815447825327063040