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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/3KN3843
Repositorysid.inpe.br/plutao/2015/12.04.14.40.40   (restricted access)
Last Update2015:12.09.11.42.28 (UTC) administrator
Metadata Repositorysid.inpe.br/plutao/2015/12.04.14.40.41
Metadata Last Update2021:01.02.03.53.05 (UTC) administrator
DOI10.1007/s00704-015-1671-z
ISSN0177-798X
Labellattes: 4336175279058172 4 TschökeKruQueChaSou:2015:CoTwBi
Citation KeyTschökeKruQueChaSou:2015:CoTwBi
TitleComparison of two bias correction methods for precipitation simulated with a regional climate model
Year2015
Access Date2024, Apr. 18
Secondary TypePRE PI
Number of Files1
Size665 KiB
2. Context
Author1 Tschöke, Gabriele Vanessa
2 Kruk, Nadiane Smaha
3 Queiroz, Paulo Ivo Braga de
4 Chan, Chou Sin
5 Sousa Junior, Wilson Cabral de
Resume Identifier1
2
3
4 8JMKD3MGP5W/3C9JGRQ
Group1
2
3
4 DMD-CPT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Tecnológico de Aeronáutica (ITA)
2 Instituto Tecnológico de Aeronáutica (ITA)
3 Instituto Tecnológico de Aeronáutica (ITA)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Tecnológico de Aeronáutica (ITA)
Author e-Mail Address1 gabrieletschoke@gmail.com
2 nadiane@ita.br
3 pi@ita.br
4 chou.sinchan@cptec.inpe.br
5 wilson@ita.br
JournalTheoretical and Applied Climatology
Volume1
Pages1-12
Secondary MarkA1_GEOGRAFIA A1_ENGENHARIAS_I A2_INTERDISCIPLINAR A2_GEOCIÊNCIAS A2_CIÊNCIAS_AMBIENTAIS A2_CIÊNCIAS_AGRÁRIAS_I B1_BIODIVERSIDADE B1_ARQUITETURA_E_URBANISMO B2_CIÊNCIAS_BIOLÓGICAS_I B3_ASTRONOMIA_/_FÍSICA
History (UTC)2015-12-04 14:40:41 :: lattes -> administrator ::
2021-01-02 03:53:05 :: administrator -> simone :: 2015
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsModelo Eta
Mudanças climáticas
AbstractThis study evaluates the performance of two bias correction techniquespower transformation and gamma distribution adjustmentfor Eta regional climate model (RCM) precipitation simulations. For the gamma distribution adjustment, the number of dry days is not taken as a fixed parameter; rather, we propose a new methodology for handling dry days. We consider two cases: the first case is defined as having a greater number of simulated dry days than the observed number, and the second case is defined as the opposite. The present climate period was divided into calibration and validation sets. We evaluate the results of the two bias correction techniques using the Kolmogorov-Smirnov nonparametric test and the sum of the differences between the cumulative distribution curves. These tests show that both correction techniques were effective in reducing errors and consequently improving the reliability of the simulations. However, the gamma distribution correction method proved to be more efficient, particularly in reducing the error in the number of dry days.
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > Comparison of two...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target File1_tschoke.pdf
User Grouplattes
simone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policydenypublisher denyfinaldraft12
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/43SKC35
Citing Item Listsid.inpe.br/bibdigital/2021/01.01.17.20 1
DisseminationWEBSCI; PORTALCAPES; SCOPUS.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
NotesSetores de Atividade: Pesquisa e desenvolvimento científico.
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark month nextedition number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url
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