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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/4AAU4EL
Repositorysid.inpe.br/mtc-m21d/2023/12.03.19.42   (restricted access)
Last Update2023:12.03.19.42.54 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2023/12.03.19.42.54
Metadata Last Update2024:01.02.17.16.55 (UTC) administrator
DOI10.1002/hyp.15017
ISSN0885-6087
Citation KeyLemosCFTBMRFA:2023:InLaSu
TitleSpatiotemporal distribution of precipitation and its characteristics under tropical atmospheric systems of Brazil: Insights from a large sub-hourly database
Year2023
MonthNov.
Access Date2024, May 16
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size7176 KiB
2. Context
Author1 Lemos, Filipe C.
2 Coelho, Victor Hugo R.
3 Freitas, Emerson da S.
4 Tomasella, Javier
5 Bertrand, Guillaume F.
6 Meira, Marcela A.
7 Ramos Filho, Geraldo M.
8 Fullhart, Andrew
9 Almeida, Cristiano das N.
Resume Identifier1
2
3
4 8JMKD3MGP5W/3C9JHE3
ORCID1 0000-0001-9941-7874
2 0000-0002-6669-4856
3 0000-0002-8409-8206
4 0000-0003-2597-8833
5 0000-0001-5927-168X
6 0000-0003-2392-572X
7 0000-0002-7819-2511
8 0000-0003-1223-6451
9 0000-0002-3655-5396
Group1
2
3
4 DIIAV-CGCT-INPE-MCTI-GOV-BR
Affiliation1 Universidade Federal da Paraíba (UFPB)
2 Universidade Federal da Paraíba (UFPB)
3 Instituto Federal de Educação, Ciência e Tecnologia da Paraíba (IFPB)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Universidade Federal da Paraíba (UFPB)
6 Universidade Federal da Paraíba (UFPB)
7 Universidade Federal da Paraíba (UFPB)
8 USDA ARS Southwest Watershed Research Center
9 Universidade Federal da Paraíba (UFPB)
Author e-Mail Address1
2 victor.coelho@academico.ufpb.br
3
4 javier.tomasella@inpe.br
JournalHydrological Processes
Volume37
Number11
Pagese15017
Secondary MarkA1_ENGENHARIAS_III A1_ENGENHARIAS_I A1_CIÊNCIAS_AMBIENTAIS A2_INTERDISCIPLINAR A2_GEOCIÊNCIAS A2_CIÊNCIAS_AGRÁRIAS_I A2_BIODIVERSIDADE B2_CIÊNCIA_DA_COMPUTAÇÃO
History (UTC)2023-12-03 19:42:54 :: simone -> administrator ::
2023-12-03 19:42:58 :: administrator -> simone :: 2023
2023-12-03 19:44:35 :: simone -> administrator :: 2023
2024-01-02 17:16:55 :: administrator -> simone :: 2023
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordshydroclimate
minimum inter-event time
rainfall events
rainfall patterns
AbstractThe study of rainfall properties at various spatiotemporal scales is deeply important for understanding a large range of socio-environmental processes and variables (e.g., water resources, agriculture, socio-ecosystemic services, natural risk assessment). However, such studies on rainfall characteristics, especially at sub-hourly resolutions, are scarce in large areas of South America due to the lack of a high-resolution temporal database. The Brazilian National Centre for Monitoring and Early Warning of Natural Disasters (CEMADEN) has gradually implemented, starting in 2013, a sub-hourly monitoring network composed of approximately 3500 automated rain gauges distributed across Brazil, enabling access to new hydrological studies in this vast tropical country featuring a range of biomes. This study analysed the characteristics of rainfall events for the whole of Brazil on sub-daily and sub-hourly timescales, using 7 years of data (from 2014 to 2021) provided by CEMADEN. Rainfall events were defined by the minimum inter-event time (MIT) and the minimum depth (1 mm). Seven MITs (30, 60, 120, 180, 360, 720, and 1440 min) were considered to evaluate the behaviour of rainfall event characteristics and their relationships. The Gaussian mixture model method was applied to identify regions with similar rainfall patterns according to the MIT. Six groups with homogeneous characteristics were identified, evidencing the climatic diversity of Brazil. The results show that the MIT strongly influences precipitation properties (especially the dry time and the number of events). The highest number of events occurred in the North-east Coast region, which exceeded 200 events per year (MIT < 60 min), while the lowest number of events was observed in the Semiarid region, which reached only 38 events per year with an MIT of 1440 min. Moreover, the events with the highest rainfall intensities were found in the Central region. The results found in this study provide a better understanding of precipitation and its characteristics in Brazil, highlighting the climatological diversity of this country.
AreaCST
Arrangementurlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Spatiotemporal distribution of...
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4. Conditions of access and use
Languageen
Target FileHydrological Processes - 2023 - Lemos - Spatiotemporal distribution of precipitation and its characteristics under tropical.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policydenypublisher denyfinaldraft
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/bibdigital/2022/04.03.22.23 2
sid.inpe.br/mtc-m21/2012/07.13.14.50.34 1
DisseminationWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
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