1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21c.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34R/436THBL |
Repository | sid.inpe.br/mtc-m21c/2020/09.02.13.42 (restricted access) |
Last Update | 2020:09.02.13.42.10 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21c/2020/09.02.13.42.10 |
Metadata Last Update | 2022:01.04.01.35.20 (UTC) administrator |
DOI | 10.1016/j.wace.2020.100273 |
ISSN | 2212-0947 |
Citation Key | DereczynskiCLSRTCGRS:2020:MoEvRe |
Title | Downscaling of climate extremes over South America – Part I: model evaluation in the reference climate |
Year | 2020 |
Month | Sept. |
Access Date | 2024, May 08 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 10853 KiB |
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2. Context | |
Author | 1 Dereczynski, Claudine Pereira 2 Chou, Sin Chan 3 Lyra, André de Arruda 4 Silva, Marcely Sondermann da 5 Regoto, Pedro 6 Tavares, Priscila da Silva 7 Chagas, Diego José 8 Gomes, Jorge Luís 9 Rodrigues, Daniela Carneiro 10 Skansi, María de los Milagros |
Group | 1 2 DIDMD-CGCPT-INPE-MCTIC-GOV-BR 3 CGCPT-CGCPT-INPE-MCTIC-GOV-BR 4 CGCPT-CGCPT-INPE-MCTIC-GOV-BR 5 MET-MET-SESPG-INPE-MCTIC-GOV-BR 6 CGCPT-CGCPT-INPE-MCTIC-GOV-BR 7 DIDMD-CGCPT-INPE-MCTIC-GOV-BR 8 DIDMD-CGCPT-INPE-MCTIC-GOV-BR 9 COCST-COCST-INPE-MCTIC-GOV-BR |
Affiliation | 1 Universidade Federal do Rio de Janeiro (UFRJ) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 Instituto Nacional de Pesquisas Espaciais (INPE) 6 Instituto Nacional de Pesquisas Espaciais (INPE) 7 Instituto Nacional de Pesquisas Espaciais (INPE) 8 Instituto Nacional de Pesquisas Espaciais (INPE) 9 Instituto Nacional de Pesquisas Espaciais (INPE) 10 Servício Meteorológico Nacional |
Author e-Mail Address | 1 claudinedereczynski@gmail.com 2 chou.chan@inpe.br 3 andrelyra1@gmail.com 4 marcely.silva@inpe.br 5 6 priltavares@gmail.com 7 diego.chagas@inpe.br 8 jorgeluisgomes@gmail.com 9 daniela.rodrigues@inpe.br |
Journal | Weather and Climate Extremes |
Volume | 29 |
Pages | e100273 |
History (UTC) | 2020-09-02 13:42:10 :: simone -> administrator :: 2022-01-04 01:35:20 :: administrator -> simone :: 2020 |
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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 change Temperature trends Precipitation trends Simulated trends Regional model |
Abstract | In this paper, we evaluate temperature and precipitation trends over South America (SA), simulated by the regional Eta model with 20-km horizontal resolution nested to three global models: The Canadian Earth System Model Second Generation (CanESM2-ES), The Met Office Hadley Centre Global Environmental Model - Earth System (HadGEM2-ES) and the Model for Interdisciplinary Research on Climate version 5 (MIROC5). The simulated trends are compared to observed trends (OBS) using six (four) extreme temperature (precipitation) indices recommended by the Expert Team on Climate Change Detection and Indices. In both simulations and OBS, extreme temperature trends over Amazon (AMZ) and Northeast Brazil (NEB) are higher than over South East SA (SESA) and West SA (WSA). Also, trends based on maximum temperatures are, in general, smaller than those based on minimum temperatures. The three downscaling simulations reproduce these features. The temperature simulations of the Eta-CanESM2 (Eta-MIROC5) show the largest (smallest) trends among the three simulations. The Eta-MIROC5, performs better than the other two simulations, reproducing the signals and the magnitudes of the extreme temperature trends, and some cooling trends over SESA, as shown in the observation. Precipitation trends from the three simulations do not compare well with observations, such as temperature trends. However, Eta-MIROC5 presents the best simulations, showing increase in the magnitude of the precipitation extremes over most of SA. The results from the three simulations presented here will be further used for the assessment of climate change projections in the SA region. |
Area | MET |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > MET > Downscaling of climate... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCST > Downscaling of climate... |
Arrangement 3 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > Downscaling of climate... |
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 | dereczynski_downscaling.pdf |
User Group | simone |
Visibility | shown |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/3EUPEJL 8JMKD3MGPCW/3F35TRS 8JMKD3MGPCW/3F3T29H 8JMKD3MGPCW/43SKC35 |
Dissemination | PORTALCAPES; SCOPUS. |
Host Collection | urlib.net/www/2017/11.22.19.04 |
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6. Notes | |
Empty Fields | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Description control | |
e-Mail (login) | simone |
update | |
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