1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21d.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34T/47HKBHH |
Repository | sid.inpe.br/mtc-m21d/2022/09.02.15.52 (restricted access) |
Last Update | 2022:09.02.15.52.47 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21d/2022/09.02.15.52.47 |
Metadata Last Update | 2023:01.03.16.46.15 (UTC) administrator |
DOI | 10.1016/j.cliser.2022.100321 |
ISSN | 2405-8807 |
Citation Key | FreireCoeFreAlvKub:2022:AsCoDy |
Title | Assessing the contribution of dynamical downscaling to austral autumn Northeast Brazil seasonal precipitation prediction performance |
Year | 2022 |
Month | Aug. |
Access Date | 2024, May 09 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 5350 KiB |
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2. Context | |
Author | 1 Freire, Juliana Larise Mendonça 2 Coelho, Caio Augusto dos Santos 3 Freitas, Saulo Ribeiro de 4 Alves, Rita C. M. 5 Kubota, Paulo Yoshio |
Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JJ7M |
Group | 1 MET-MET-DIPGR-INPE-MCTI-GOV-BR 2 DIPTC-CGCT-INPE-MCTI-GOV-BR 3 DIMNT-CGCT-INPE-MCTI-GOV-BR 4 5 DIMNT-CGCT-INPE-MCTI-GOV-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Universidade Federal do Rio Grande do Sul (UFRGS) 5 Instituto Nacional de Pesquisas Espaciais (INPE) |
Author e-Mail Address | 1 jullianafreire@isi-er.com.br 2 caio.augusto.coelho@gmail.com 3 saulo.r.de.freitas@gmail.com 4 5 pkubota@gmail.com |
Journal | Climate Services |
Volume | 27 |
Pages | e100321 |
History (UTC) | 2022-09-02 15:53:24 :: simone -> administrator :: 2022 2023-01-03 16:46:15 :: administrator -> simone :: 2022 |
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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 | Dynamic downscaling Precipitation Seasonal climate predictions |
Abstract | This study aims to assess the contribution to prediction performance of dynamically downscaling seasonal precipitation for the Brazilian Northeast region (NEB) produced in February with a global climate model for the austral autumn (March-April-May). This season includes the peak precipitation period of a large portion of this region. To achieve this aim, 32 years of hindcasts for the period 19792010 were produced with a regional model known as the Brazilian developments on the Regional Atmospheric Modeling System (BRAMS) run at 30 km spatial resolution, which was unidirectional nested to a global model run at approximately 200 km spatial resolution. The used global model was the Atmospheric General Circulation Models of the Brazilian Center for Weather Forecast and Climate Studies (CPTEC/AGCM), which provided initial and lateral boundary conditions for BRAMS. Hindcast ensembles of 10 members were produced with both the global and the regional models, simulating an operational prediction environment using persisted sea surface temperature (SST) anomalies observed in the previous January of each of the 32 hindcast years as oceanic boundary conditions. A comparative deterministic and probabilistic performance assessment of the two models was conducted. The deterministic assessment included the investigation of the mean error (bias) of the produced seasonal precipitation hindcasts, the degree of linear association between the observed and predicted precipitation anomalies measuring phase error through the correlation of the ensemble means with the corresponding observations, and amplitude error investigated through the ratio between the hindcast ensemble mean and observed variances. The probabilistic assessment was performed investigation the reliability, resolution, and discrimination characteristics of tercile probability predictions for the above normal and below normal categories, and also for probabilistic predictions for the occurrence of the symmetric event positive (or negative) precipitation anomaly. The two investigated modeling approaches showed similar performance, with an indication for dynamically downscaled predictions to have reduced amplitude error and slightly improved reliability and resolution compared to the predictions produced with the global model. |
Area | MET |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > MET > Assessing the contribution... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Assessing the contribution... |
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 | 1-s2.0-S2405880722000395-main.pdf |
User Group | simone |
Reader Group | administrator 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/3F35TRS 8JMKD3MGPCW/46KUATE |
Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.59.52 1 sid.inpe.br/bibdigital/2013/10.15.01.34 1 |
Dissemination | WEBSCI; PORTALCAPES; SCOPUS. |
Host Collection | urlib.net/www/2021/06.04.03.40 |
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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 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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