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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br (namespace prefix: upn:3Q3U5H8)
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/428HEUP
Repositorysid.inpe.br/mtc-m21c/2020/03.30.11.59
Last Update2020:03.30.11.59.33 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m21c/2020/03.30.11.59.33
Metadata Last Update2022:01.04.01.35.02 (UTC) administrator
DOI10.1175/WAF-D-19-0106.1
ISSN0882-8156
Citation KeyGublerSBACEJMSSS:2020:AsECSE
TitleAssessment of ECMWF SEAS5 seasonal forecast performance over South America
Year2020
MonthApr.
Access Date2025, Dec. 08
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size5639 KiB
2. Context
Author 1 Gubler, S.
 2 Sedlmeier, K.
 3 Bhend, J.
 4 Avalos, G.
 5 Coelho, Caio Augusto dos Santos
 6 Escajadillo, Y.
 7 Jacques-Coper, M.
 8 Martinez, R.
 9 Schwierz, C.
10 Skansi, M. de
11 Spirig, C. H.
Group 1
 2
 3
 4
 5 DIDOP-CGCPT-INPE-MCTIC-GOV-BR
Affiliation 1 Federal Office of Meteorology and Climatology, MeteoSwiss
 2 Federal Office of Meteorology and Climatology, MeteoSwiss
 3 Federal Office of Meteorology and Climatology, MeteoSwiss
 4 Servicio Nacional de Meteorología e Hidrología del Perú
 5 Instituto Nacional de Pesquisas Espaciais (INPE)
 6 Servicio Nacional de Meteorología e Hidrología del Perú
 7 Universidad de Concepción
 8 Centro Internacional para la Investigación del Fenómeno de El Niño
 9 Federal Office of Meteorology and Climatology, MeteoSwiss
10 Servicio Meteorológico Nacional, Buenos Aires
11 Federal Office of Meteorology and Climatology, MeteoSwiss
Author e-Mail Address 1 stefanie.gubler@meteoswiss.ch
 2
 3
 4
 5 caio.coelho@inpe.br
JournalWeather and Forecasting
Volume35
Number2
Pages561-584
Secondary MarkA2_INTERDISCIPLINAR A2_GEOCIÊNCIAS
Host Collectionurlib.net/www/2017/11.22.19.04 upn:3Q3U5H8
History (UTC)2020-03-30 11:59:33 :: simone -> administrator ::
2020-03-30 11:59:34 :: administrator -> simone :: 2020
2020-06-23 22:27:09 :: simone -> administrator :: 2020
2022-01-04 01:35:02 :: administrator -> simone :: 2020
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
AbstractSeasonal predictions have a great socioeconomic potential if they are reliable and skillful. In this study, we assess the prediction performance of SEAS5, version 5 of the seasonal prediction system of the European Centre for Medium-Range Weather Forecasts (ECMWF), over South America against homogenized station data. For temperature, we find the highest prediction performances in the tropics during austral summer, where the probability that the predictions correctly discriminate different observed outcomes is 70%. In regions lying to the east of the Andes, the predictions of maximum and minimum temperature still exhibit considerable performance, while farther to the south in Chile and Argentina the temperature prediction performance is low. Generally, the prediction performance of minimum temperature is slightly lower than for maximum temperature. The prediction performance of precipitation is generally lower and spatially and temporally more variable than for temperature. The highest prediction performance is observed at the coast and over the highlands of Colombia and Ecuador, over the northeastern part of Brazil, and over an isolated region to the north of Uruguay during DJF. In general, Niño-3.4 has a strong influence on both air temperature and precipitation in the regions where ECMWF SEAS5 shows high performance, in some regions through teleconnections (e.g., to the north of Uruguay). However, we show that SEAS5 outperforms a simple empirical prediction based on Niño-3.4 in most regions where the prediction performance of the dynamical model is high, thereby supporting the potential benefit of using a dynamical model instead of statistical relationships for predictions at the seasonal scale.
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDOP > Assessment of ECMWF...
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4. Conditions of access and use
data URIupn:3Q3U5H8:8JMKD3MGP3W34R/428HEUP
data URLhttp://urlib.net/ibi/8JMKD3MGP3W34R/428HEUP
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34R/428HEUP
Languageen
Target Filegubler_assessment.pdf
User Groupsimone
Visibilityshown
Archiving Policydenypublisher6 allowfinaldraft
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/43SQKNE
Citing Item Listsid.inpe.br/bibdigital/2021/01.02.22.14 - 35
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX.
6. Notes
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