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1. Identity statement
Reference TypeBook Section
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/3SCS9DP
Repositorysid.inpe.br/plutao/2018/12.14.21.08   (restricted access)
Last Update2018:12.18.13.06.21 (UTC) lattes
Metadata Repositorysid.inpe.br/plutao/2018/12.14.21.08.01
Metadata Last Update2021:01.02.22.16.06 (UTC) administrator
DOI10.1016/B978-0-12-811714-9.00016-4
ISBN9780128117149
Labellattes: 4978912302419377 1 CoelhoBroWilMitCas:2018:FoVeS2
Citation KeyCoelhoBroWilMitCas:2019:FoVeS2
TitleForecast verification for S2S time scales
Year2019
Access Date2024, Oct. 31
Secondary TypePRE LI
Number of Files1
Size709 KiB
2. Context
Author1 Coelho, Caio Augusto dos Santos
2 Brown, Barbara
3 Wilson, Laurence
4 Mittermaier, Marion
5 Casati, Barbara
Group1 DIDOP-CGCPT-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 National Center for Atmospheric Research
3 Environment and Climate Change Canada
4 UK Met Office
5 Environment and Climate Change Canada
Author e-Mail Address1 caio.coelho@inpe.br
EditorRobertson, Andrew W.
Vitart, Frédéric
Book TitleSub-seasonal to seasonal prediction: the gap between weather and climate forecasting
PublisherElsevier
Pages1
History (UTC)2018-12-18 13:06:21 :: lattes :: 2018 -> 2019
2018-12-18 13:06:22 :: lattes -> administrator :: 2019
2021-01-02 22:16:06 :: administrator -> simone :: 2019
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsForecast quality assessment
Forecast performance attributes
Forecast verification methods across timescales and space scales
Seamless verification
User-oriented verification
AbstractForecast verification is a key component of a forecasting system; it provides information about forecast qualify to model and forecast developers and various users. This chapter provides an overview of methods relevant to sub-seasonal to seasonal (S2S) forecast verification, starting with the definition of forecast goodness and some fundamental forecast quality attributes. Next, the factors affecting the design of verification studies are presented. The recognition of uncertainties in observational data sets and the need for care in matching forecasts and observations is also discussed. A large part of the chapter is dedicated to a review of the most common deterministic and probabilistic forecast verification measures and a summary of novel spatial verification methods developed during the last two decades. Types of S2S forecasts and current verification practices are presented. The chapter concludes with a summary, challenges, and recommendations for advancing S2S verification research and practice.
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDOP > Forecast verification for...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target Filecoelho_forecast.pdf
User Grouplattes
Visibilityshown
Read Permissiondeny from all
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/43SQKNE
URL (untrusted data)https://www.elsevier.com/books/sub-seasonal-to-seasonal-prediction/robertson/978-0-12-811714-9
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber city copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress edition format issn lineage mark mirrorrepository nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor seriestitle session shorttitle sponsor subject tertiarymark tertiarytype translator versiontype volume
7. Description control
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