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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/3P5TDNA
Repositorysid.inpe.br/plutao/2017/06.21.20.41.41   (restricted access)
Last Update2017:06.23.13.03.39 (UTC) administrator
Metadata Repositorysid.inpe.br/plutao/2017/06.21.20.41.42
Metadata Last Update2021:01.02.22.16.58 (UTC) administrator
DOI10.1002/joc.5010
ISSN0899-8418
Labellattes: 4978912302419377 1 CoelhoFirpMaiaMacl:2017:ExFeEm
Citation KeyCoelhoFirpMaiaMacL:2017:ExFeEm
TitleExploring the feasibility of empirical, dynamical and combined probabilistic rainy season onset forecasts for São Paulo, Brazil
Year2017
Monthago.
Access Date2024, Apr. 20
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size863 KiB
2. Context
Author1 Coelho, Caio Augusto dos Santos
2 Firpo, Mári Andrea Feldman
3 Maia, Aline H. N.
4 MacLachlan, Craig
Group1 DIDOP-CGCPT-INPE-MCTIC-GOV-BR
2 DIDOP-CGCPT-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
4 Met Office Hadley Centre
Author e-Mail Address1 caio.coelho@inpe.br
2 mari.firpo@inpe.br
JournalInternational Journal of Climatology
Volume37
NumberS1
Pages398-411
Secondary MarkA1_GEOCIÊNCIAS A1_ENGENHARIAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A2_INTERDISCIPLINAR A2_BIODIVERSIDADE B1_CIÊNCIAS_BIOLÓGICAS_I
History (UTC)2017-06-21 20:41:42 :: lattes -> administrator ::
2017-06-23 13:01:52 :: administrator -> lattes :: 2017
2017-12-05 13:52:34 :: lattes -> administrator :: 2017
2017-12-07 12:26:33 :: administrator -> lattes :: 2017
2017-12-11 11:09:42 :: lattes -> administrator :: 2017
2021-01-02 22:16:58 :: administrator -> simone :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
AbstractThis study investigates the feasibility and presents an assessment of probabilistic rainy season onset forecasts for São Paulo, Brazil, located in a region with a well-defined wet season from mid-austral spring (October) to austral autumn (March/April). The probabilistic forecasts were produced with (1) a simple empirical Cox-regression model using July Niño-3 index as predictor, (2) the dynamical coupled atmosphere-land-surface-ocean-sea-ice model used in the UK Met Office Global Seasonal Forecast System (GloSea5) and (3) a procedure that combines the empirical and dynamical model onset probabilistic forecasts. The probabilistic forecast assessment was performed over the 19962009 retrospective forecast period for the event rainy season onset earlier (or later) than the historical (mean) onset date. The three investigated approaches resulted in similar discrimination ability of around 80%, which represents the probability of the probabilistic forecasts correctly distinguishing earlier from a later than mean onsets, suggesting good potential for rainy season onset forecasts for São Paulo. The robustness of this assessment for an extended period (longer than 19962009) and for a region (20°S, 25°S, 45°W, 55°W) that includes the city of São Paulo was checked, reinforcing the validity of the obtained results at both local and regional scales.
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDOP > Exploring the feasibility...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target Filecoelho_exploring.pdf
Reader Groupadministrator
lattes
Visibilityshown
Archiving Policydenypublisher denyfinaldraft
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/43SQKNE
DisseminationWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
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