1. Identity statement | |
Reference Type | Journal Article |
Site | plutao.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | J8LNKAN8RW/36GAU8R |
Repository | dpi.inpe.br/plutao@80/2009/12.01.11.48.14 (restricted access) |
Last Update | 2010:05.24.13.45.32 (UTC) administrator |
Metadata Repository | dpi.inpe.br/plutao@80/2009/12.01.11.48.15 |
Metadata Last Update | 2018:06.05.00.12.44 (UTC) administrator |
Secondary Key | INPE--PRE/ |
DOI | 10.1007/s00704-009-0193-y |
ISSN | 0177-798X |
Label | lattes: 4411895644401494 1 MendesMare:2009:CoBeAr |
Citation Key | MendesMare:2010:CoArNe |
Title | Temporal downscaling: a comparison between artificial neural network and autocorrelation techniques over the Amazon Basin in present and future climate change scenarios |
Year | 2010 |
Month | may |
Access Date | 2024, May 01 |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 367 KiB |
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2. Context | |
Author | 1 Mendes, David 2 Marengo, José A. |
Group | 1 CST-CST-INPE-MCT-BR 2 CST-CST-INPE-MCT-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) |
Author e-Mail Address | 1 dmendes@cptec.inpe.br |
e-Mail Address | dmendes@cptec.inpe.br |
Journal | Theoretical and Applied Climatology |
Volume | 100 |
Number | 3-4 |
Pages | 413-421 |
Secondary Mark | A2_CIÊNCIAS_AGRÁRIAS A2_GEOCIÊNCIAS A2_GEOGRAFIA A2_INTERDISCIPLINAR |
History (UTC) | 2009-12-02 11:58:31 :: lattes -> marciana :: 2009-12-02 12:38:51 :: marciana -> administrator :: 2010-05-12 02:05:07 :: administrator -> marciana :: 2010-07-16 15:33:06 :: marciana -> administrator :: 2009 -> 2010 2010-11-17 21:34:22 :: administrator -> marciana :: 2010 2011-05-21 01:00:18 :: marciana -> administrator :: 2010 2018-06-05 00:12:44 :: administrator -> marciana :: 2010 |
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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 |
Keywords | seasonal cycle South America trends preciptation variability |
Abstract | Several studies have been devoted to dynamic and statistical downscaling for both climate variability and climate change. This paper introduces an application of temporal neural networks for downscaling global climate model output and autocorrelation functions. This method is proposed for downscaling daily precipitation time series for a region in the Amazon Basin. The downscaling models were developed and validated using IPCC AR4 model output and observed daily precipitation. In this paper, five AOGCMs for the twentieth century (20C3M; 1970-1999) and three SRES scenarios (A2, A1B, and B1) were used. The performance in downscaling of the temporal neural network was compared to that of an autocorrelation statistical downscaling model with emphasis on its ability to reproduce the observed climate variability and tendency for the period 1970-1999. The model test results indicate that the neural network model significantly outperforms the statistical models for the downscaling of daily precipitation variability. |
Area | MET |
Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCST > Temporal downscaling: a... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
Language | en |
Target File | temporal.pdf |
User Group | administrator lattes marciana |
Visibility | shown |
Archiving Policy | denypublisher denyfinaldraft12 |
Read Permission | deny from all and allow from 150.163 |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/3F3T29H |
Dissemination | WEBSCI; PORTALCAPES; MGA. |
Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
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6. Notes | |
Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel documentstage format isbn lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url versiontype |
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7. Description control | |
e-Mail (login) | marciana |
update | |
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