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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34P/3NNFQ42
Repositorysid.inpe.br/mtc-m21b/2017/04.18.16.57   (restricted access)
Last Update2017:04.18.16.57.38 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m21b/2017/04.18.16.57.38
Metadata Last Update2018:06.04.02.27.24 (UTC) administrator
DOI10.1016/j.renene.2016.12.101
ISSN0960-1481
Citation KeyPesPeMaMaHeSc:2017:ClTrEx
TitleClimate trends on the extreme winds in Brazil
Year2017
MonthAug.
Access Date2024, June 14
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size3311 KiB
2. Context
Author1 Pes, Marcelo Pizzuti
2 Pereira, Enio Bueno
3 Marengo, José A.
4 Martins, Fernando R.
5 Heinemann, Detlev
6 Schmidt, Michael
Resume Identifier1
2 8JMKD3MGP5W/3C9JH2E
Group1 COCST-COCST-INPE-MCTIC-GOV-BR
2 COCST-COCST-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
4 Universidade Federal de São Paulo (UNIFESP)
5 Carl Von Ossietzky University, Institute of Physic
6 Carl Von Ossietzky University, Institute of Physic
Author e-Mail Address1 marcelo.pes@inpe.br
2 enio.pereira@inpe.br
JournalRenewable Energy
Volume109
Pages110-120
Secondary MarkA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_IV A1_ENGENHARIAS_III A1_ENGENHARIAS_II A1_ENGENHARIAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_ADMINISTRAÇÃO,_CIÊNCIAS_CONTÁBEIS_E_TURISMO A2_QUÍMICA A2_MATERIAIS A2_CIÊNCIA_DE_ALIMENTOS A2_BIODIVERSIDADE A2_ARQUITETURA_E_URBANISMO B1_CIÊNCIAS_BIOLÓGICAS_I B1_BIOTECNOLOGIA B1_ASTRONOMIA_/_FÍSICA
History (UTC)2017-04-18 16:57:38 :: simone -> administrator ::
2017-04-18 16:57:39 :: administrator -> simone :: 2017
2017-04-18 16:58:34 :: simone -> administrator :: 2017
2017-04-20 21:03:50 :: administrator -> simone :: 2017
2017-06-02 14:15:41 :: simone -> administrator :: 2017
2018-06-04 02:27:24 :: administrator -> simone :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsClimate trends
Cluster analysis
Extreme winds
Frequency distributions
Mann-Kendall test
Wind energy
AbstractThe main source of electricity in Brazil is from hydro, which has about 65.2% share of the country's electric energy matrix. However, over the last decade the wind energy increased from 19 MW to 2.2 GW. Since wind is an intermittent energy source, heavily determined by the weather and climatic conditions, and important effects on wind power generation can be expected in the mid and long term, in particular related to the impacts of extreme winds. The IPCC AR5 (Intergovernmental Panel on Climate Change) indicates changes in wind speed at the surface in some regions of the world, and increased wind strength in mid-latitude regions. This study scrutinizes future scenarios of extreme winds in Brazil by applying trend analysis techniques on a 50-year historical series of observational wind speed and meteorological parameters at 10 m height in Brazil. Embracing techniques of cluster analysis it was possible to characterize six main regions with macro climatic similarities. To assess the goodness fit distribution, we designate two stations per homogenous region, taking as criteria the stations with better performance in the qualification process to determine the wind distribution pattern in each region applying the Kolmogorov-Smirnov test (KS) and the lowest standard error (SE). After evaluating the frequency distribution of wind speed, the best fit result for the frequency distribution of maximum wind speed is the Gumbel model. The analysis of climatic trends performed by Mann-Kendall test revealed that in minimum wind speed series is not conclusive because it shows disparate results between homogeneous regions. On the other hand, the analysis of climatic trends of maximum wind speed presents 100% positive trends in Group#1, an equal number of stations with not significant trends and positive trends for Group#2, 36.8% more stations with positive trends than negative trends for Group#3 and 20% of stations with more negative trends than stations with positive trends for Group#4. This way, based in these results, is possible assert that there are an increase in the maximum extreme wind in Brazil, mainly in mid-latitudes.
AreaCST
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCST > Climate trends on...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
Languageen
Target Filepes_climate.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policydenypublisher denyfinaldraft24
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Linking8JMKD3MGP8W/3J375M5
Mirror Repositorysid.inpe.br/mtc-m21b/2013/09.26.14.25.22
Next Higher Units8JMKD3MGPCW/3F3T29H
Citing Item Listsid.inpe.br/bibdigital/2013/10.19.20.40 5
sid.inpe.br/mtc-m21/2012/07.13.14.45.21 1
DisseminationWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarytype url
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