1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21b.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34P/3NNFQ42 |
Repository | sid.inpe.br/mtc-m21b/2017/04.18.16.57 (restricted access) |
Last Update | 2017:04.18.16.57.38 (UTC) administrator |
Metadata Repository | sid.inpe.br/mtc-m21b/2017/04.18.16.57.38 |
Metadata Last Update | 2018:06.04.02.27.24 (UTC) administrator |
DOI | 10.1016/j.renene.2016.12.101 |
ISSN | 0960-1481 |
Citation Key | PesPeMaMaHeSc:2017:ClTrEx |
Title | Climate trends on the extreme winds in Brazil |
Year | 2017 |
Month | Aug. |
Access Date | 2024, May 15 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 3311 KiB |
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2. Context | |
Author | 1 Pes, Marcelo Pizzuti 2 Pereira, Enio Bueno 3 Marengo, José A. 4 Martins, Fernando R. 5 Heinemann, Detlev 6 Schmidt, Michael |
Resume Identifier | 1 2 8JMKD3MGP5W/3C9JH2E |
Group | 1 COCST-COCST-INPE-MCTIC-GOV-BR 2 COCST-COCST-INPE-MCTIC-GOV-BR |
Affiliation | 1 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 Address | 1 marcelo.pes@inpe.br 2 enio.pereira@inpe.br |
Journal | Renewable Energy |
Volume | 109 |
Pages | 110-120 |
Secondary Mark | A1_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 |
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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 | Climate trends Cluster analysis Extreme winds Frequency distributions Mann-Kendall test Wind energy |
Abstract | The 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. |
Area | CST |
Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCST > Climate trends on... |
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 | pes_climate.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Archiving Policy | denypublisher denyfinaldraft24 |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Linking | 8JMKD3MGP8W/3J375M5 |
Mirror Repository | sid.inpe.br/mtc-m21b/2013/09.26.14.25.22 |
Next Higher Units | 8JMKD3MGPCW/3F3T29H |
Citing Item List | sid.inpe.br/bibdigital/2013/10.19.20.40 3 sid.inpe.br/mtc-m21/2012/07.13.14.45.21 1 |
Dissemination | WEBSCI; PORTALCAPES; COMPENDEX; SCOPUS. |
Host Collection | sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 |
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6. Notes | |
Empty Fields | alternatejournal 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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7. Description control | |
e-Mail (login) | simone |
update | |
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