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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/3SUDM9S
Repositorysid.inpe.br/mtc-m21c/2019/03.20.10.25   (restricted access)
Last Update2019:03.20.10.25.59 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2019/03.20.10.25.59
Metadata Last Update2020:01.02.11.05.32 (UTC) simone
DOI10.1155/2018/2095304
ISSN1687-9309
Citation KeyPereiraFoVVRGCSLGOZCADA:2019:StToIn
TitleA step towards integrating CMORPH precipitation estimation with rain gauge measurements
Year2019
Access Date2024, May 19
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size14584 KiB
2. Context
Author 1 Pereira Filho, Augusto José
 2 Vemado, Felipe
 3 Vemado, Guilherme
 4 Reis, Fábio Augusto Gomes Vieira
 5 Giordano, Lucila do Carmo
 6 Cerri, Rodrigo Irineu
 7 Santos, Cláudia Cristina dos
 8 Lopes, Eymar Silva Sampaio
 9 Gramani, Marcelo Fisher
10 Ogura, Agostinho Tadashi
11 Zaine, José Eduardo
12 Cerri, Leandro Eugenio da Silva
13 Augusto Filho, Oswaldo
14 D'Affonseca, Fernando Mazo
15 Amaral, Cláudio dos Santos
Resume Identifier 1
 2
 3
 4
 5
 6
 7 8JMKD3MGP5W/3C9JGRU
 8 8JMKD3MGP5W/3C9JH3B
ORCID 1 0000-0002-6690-9669
 2 0000-0003-2277-4691
 3 0000-0001-9002-2956
 4 0000-0003-3918-6861
 5
 6 0000-0003-3075-6100
 7 0000-0002-9489-2980
 8 0000-0002-0130-305X
 9 0000-0003-1373-9464
10
11
12 0000-0003-0542-0568
13 0000-0002-6425-8022
14 0000-0001-9780-4272
15 0000-0002-2443-3076
Group 1
 2
 3
 4
 5
 6
 7 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
 8 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
Affiliation 1 Universidade de São Paulo (USP)
 2 Universidade de São Paulo (USP)
 3 Universidade de São Paulo (USP)
 4 Universidade Estadual Paulista (UNESP)
 5 Universidade Estadual Paulista (UNESP)
 6 Universidade Estadual Paulista (UNESP)
 7 Instituto Nacional de Pesquisas Espaciais (INPE)
 8 Instituto Nacional de Pesquisas Espaciais (INPE)
 9 Instituto de Pesquisas Tecnológicas (IPT)
10 Instituto de Pesquisas Tecnológicas (IPT)
11 Universidade Estadual Paulista (UNESP)
12 Universidade Estadual Paulista (UNESP)
13 Universidade de São Paulo (USP)
14 Eberhard Karls Universität Tübingen
15 Petrobras Research and Development Center
Author e-Mail Address 1 augusto.pereira@iag.usp.br
 2
 3
 4
 5
 6
 7 claudia.santos@inpe.br
 8 eymar.lopes@inpe.br
JournalAdvances in Meteorology
Volume2018
Pages2095304
Secondary MarkB4_GEOCIÊNCIAS B5_BIODIVERSIDADE
History (UTC)2019-03-20 10:25:59 :: simone -> administrator ::
2019-03-20 10:25:59 :: administrator -> simone :: 2018
2019-03-20 10:28:20 :: simone -> administrator :: 2018
2019-03-21 09:30:24 :: administrator -> simone :: 2018
2020-01-02 11:05:32 :: simone :: 2018 -> 2019
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
AbstractAccurate daily rainfall estimation is required in several applications such as in hydrology, hydrometeorology, water resources management, geomorphology, civil protection, and agriculture, among others. CMORPH daily rainfall estimations were integrated with rain gauge measurements in Brazil between 2000 and 2015, in order to reduce daily rainfall estimation errors by means of the statistical objective analysis scheme (SOAS). Early comparisons indicated high discrepancies between daily rain gauge rainfall measurements and respective CMORPH areal rainfall accumulation estimates that tended to be reduced with accumulation time span (e.g., yearly accumulation). Current results show CMORPH systematically underestimates daily rainfall accumulation along the coastal areas. The normalized error variance (NEXERVA) is higher in sparsely gauged areas at Brazilian North and Central-West regions. Monthly areal rainfall averages and standard deviation were obtained for eleven Brazilian watersheds. While an overall negative tendency (3 mm·h −1 ) was estimated, the Amazon watershed presented a long-term positive tendency. Monthly areal mean precipitation and respective spatial standard deviation closely follow a power-law relationship for data-rich watersheds, i.e., with denser rain gauge networks. Daily SOAS rainfall accumulation was also used to calculate the spatial distribution of frequencies of 3-day rainfall episodes greater than 100 mm. Frequencies greater than 3% were identified downwind of the Peruvian Andes, the Bolivian Amazon Basin, and the La Plata Basin, as well as along the Brazilian coast, where landslides are recurrently triggered by precipitation.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > A step towards...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > A step towards...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
Languageen
Target File2095304.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policydenypublisher allowfinaldraft
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2017/11.22.19.04.03
Next Higher Units8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/bibdigital/2013/09.13.21.11 4
sid.inpe.br/bibdigital/2013/09.09.15.05 2
sid.inpe.br/mtc-m21/2012/07.13.14.45.45 1
DisseminationWEBSCI; PORTALCAPES; SCOPUS.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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