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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/4BUFBTL
Repositorysid.inpe.br/mtc-m21d/2024/09.02.17.09   (restricted access)
Last Update2024:09.02.17.09.22 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2024/09.02.17.09.22
Metadata Last Update2024:12.26.17.57.55 (UTC) administrator
DOI10.2166/wcc.2024.127
ISSN2040-2244
Citation KeyMeloAlvaTomaSant:2024:UnAnLo
TitleUncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydrological model
Year2024
MonthJuly
Access Date2025, May 09
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size1245 KiB
2. Context
Author1 Melo, Pamela Aparecida
2 Alvarenga, Livia Alves
3 Tomasella, Javier
4 Santos, Ana Carolina N.
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JHE3
ORCID1 0000-0003-4534-9575
2 0000-0002-2291-7966
3 0000-0003-2597-8833
4 0000-0002-0200-6006
Group1
2
3 DIIAV-CGCT-INPE-MCTI-GOV-BR
Affiliation1 Universidade Federal de Lavras (UFLA)
2 Universidade Federal de Lavras (UFLA)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
Author e-Mail Address1
2
3 javier.tomasella@inpe.br
JournalJournal of Water and Climate Change
Volume15
Number8
Pagese3850
History (UTC)2024-09-02 17:10:58 :: simone -> administrator :: 2024
2024-12-26 17:57:55 :: administrator -> simone :: 2024
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsclimate change scenarios
model parameters
Pareto front
AbstractRunoff projections are subject to uncertainties related to model structure and parameters. This study aims to analyze uncertainties in longterm runoff estimations from an empirical (Budyko framework) and a conceptual hydrological model (MHD-INPE). Results indicate that both MHD-INPE and Budyko estimations tend to overestimate long-term runoff during years of recurring droughts. Pareto front solutions in MHDINPE exhibited small uncertainties in long-term runoff estimations regarding parameter calibration (bias between 5 and 7%); differences were observed in low (bellow 5% variation) and high (bellow 10% variation) daily runoff. Related to model structure uncertainties, both models follow similar patterns and performance for a qualitative analysis. Budykos future projections tend to exceed MHD-INPEs during high precipitation estimates, where at 2000 mm yearly precipitation the estimated runoff from Budyko tends to be 100 mm greater than the hydrological model. Under arid conditions Budyko tends to estimate smaller runoff than MHD-INPE due to variations in soil moisture and water storage not properly represented in Budykos parameter. Although uncertainties were identified related to model complexity and calibrated parameters, higher uncertainties were identified as related to the climate models. Therefore, the Budyko method is a viable alternative for first-order analysis of long-term impacts.
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Arrangementurlib.net > Produção a partir de 2021 > CGCT > Uncertainty analysis on...
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4. Conditions of access and use
Languageen
Target Filejwc2024127.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2021/06.04.03.40.25
Next Higher Units8JMKD3MGPCW/46KUATE
DisseminationWEBSCI; PORTALCAPES; SCOPUS.
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
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