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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/43MN9EB
Repositóriosid.inpe.br/mtc-m21c/2020/12.02.15.06   (acesso restrito)
Última Atualização2020:12.02.15.12.44 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2020/12.02.15.06.47
Última Atualização dos Metadados2022:01.04.01.35.41 (UTC) administrator
DOI10.5194/essd-12-2959-2020
ISSN1866-3508
1866-3516
Rótuloisi 2020-12-02 IturbideGABCCCLFGHHHHJKMMNNPSHV:2020:DeAgDa
Chave de CitaçãoIturbideGABCCCLFGHHHHJKMMNNPSHV:2020:DeAgDa
TítuloAn update of IPCC climate reference regions for subcontinental analysis of climate model data: definition and aggregated datasets
Ano2020
Data de Acesso22 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho4839 KiB
2. Contextualização
Autor 1 Iturbide, M.
 2 Gutiérrez, J. M.
 3 Alves, Lincoln Muniz
 4 Bedia, J.
 5 Cerezo-Mota, R.
 6 Cimadevilla, E.
 7 Cofiño, A. S.
 8 Luca, A. D.
 9 Faria, S. H.
10 Gorodetskaya, I. V.
11 Hauser, M.
12 Herrera, S.
13 Hennessy, K.
14 Hewitt, H. T.
15 Jones, R. G.
16 Krakovska, S.
17 Manzanas, R.
18 Martí­nez-Castro, D.
19 Narisma, G. T.
20 Nurhati, I. S.
21 Pinto, I.
22 Seneviratne, S. I.
23 Hurk, B. V. D.
24 Vera, C. S.
Grupo 1
 2
 3 COCST-COCST-INPE-MCTIC-GOV-BR
Afiliação 1 Instituto de Física de Cantabria
 2
 3 Instituto Nacional de Pesquisas Espaciais (INPE)
 4 University of Cantabria
 5 Universidad Nacional Autónoma de México (UNAM)
 6 University of Cantabria
 7 University of Cantabria
 8 University of New South Wales
 9 Basque Centre for Climate Change (BC3)
10 CESAM – Centre for Environmental and Marine Studies
11 Institute for Atmospheric and Climate Science
12 University of Cantabria
13 CSIRO Oceans and Atmosphere
14 Met Office Hadley Centre
15 Met Office Hadley Centre
16 Ukrainian Hydrometeorological Institute
17 Intergovernmental Panel on Climate Change (IPCC)
18 Instituto de Meteorología de Cuba
19 Ateneo de Manila University Campus
20 Indonesian Institute of Sciences
21 University of Cape Town
22 Institute for Atmospheric and Climate Science
23 Deltares, Delft
24 Universidad de Buenos Aires (UBA)
Endereço de e-Mail do Autor 1
 2
 3 lincoln.alves@inpe.br
RevistaEarth System Science Data
Volume12
Número4
Páginas2959-2970
Histórico (UTC)2020-12-02 15:06:47 :: administrator -> simone ::
2020-12-02 15:12:44 :: simone -> administrator :: 2020
2022-01-04 01:35:41 :: administrator -> simone :: 2020
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
ResumoSeveral sets of reference regions have been used in the literature for the regional synthesis of observed and modelled climate and climate change information. A popular example is the series of reference regions used in the Intergovernmental Panel on Climate Change (IPCC) Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Adaptation (SREX). The SREX regions were slightly modified for the Fifth Assessment Report of the IPCC and used for reporting subcontinental observed and projected changes over a reduced number (33) of climatologically consistent regions encompassing a representative number of grid boxes. These regions are intended to allow analysis of atmospheric data over broad land or ocean regions and have been used as the basis for several popular spatially aggregated datasets, such as the Seasonal Mean Temperature and Precipitation in IPCC Regions for CMIP5 dataset. We present an updated version of the reference regions for the analysis of new observed and simulated datasets (including CMIP6) which offer an opportunity for refinement due to the higher atmospheric model resolution. As a result, the number of land and ocean regions is increased to 46 and 15, respectively, better representing consistent regional climate features. The paper describes the rationale for the definition of the new regions and analyses their homogeneity. The regions are defined as polygons and are provided as coordinates and a shapefile together with companion R and Python notebooks to illustrate their use in practical problems (e.g. calculating regional averages).We also describe the generation of a new dataset with monthly temperature and precipitation, spatially aggregated in the new regions, currently for CMIP5 and CMIP6, to be extended to other datasets in the future (including observations). The use of these reference regions, dataset and code is illustrated through a worked example using scatter plots to offer guidance on the likely range of future climate change at the scale of the reference regions. The regions, datasets and code (R and Python notebooks) are freely available at the ATLAS GitHub repository: https://github.com/SantanderMetGroup/ATLAS (last access: 24 August 2020), https://doi.org/10.5281/zenodo.3998463 (Iturbide et al., 2020). © Author(s) 2020. This work is distributed under.
ÁreaCST
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Conteúdo da Pasta docacessar
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Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomaen
Arquivo Alvoiturbide_update.pdf
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5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3T29H
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.19.20.40 3
URL (dados não confiáveis)https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096462685&doi=10.5194%2fessd-12-2959-2020&partnerID=40&md5=e62c327baf3c2a8ce55508b142a94408
DivulgaçãoPORTALCAPES
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Notascited By 1
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords lineage mark mirrorrepository month nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype versiontype
7. Controle da descrição
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