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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/4327SE2
Repositorysid.inpe.br/mtc-m21c/2020/08.04.11.42
Last Update2020:08.04.11.42.56 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2020/08.04.11.42.56
Metadata Last Update2022:01.04.01.35.17 (UTC) administrator
DOI10.3390/rs12142339
ISSN2072-4292
Citation KeyAfonsoViGaQuBaChPa:2020:PrDiCy
TitlePrecipitation diurnal cycle assessment of satellite-based estimates over Brazil
Year2020
MonthJuly
Access Date2024, May 20
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size1808 KiB
2. Context
Author1 Afonso, João Maria de Sousa
2 Vila, Daniel Alejandro
3 Gan, Manoel Alonso
4 Quispe, David Pareja
5 Barreto, Naurinete de Jesus da Costa
6 Chinchay, Joao Henry Huamán
7 Palharini, Rayana Santos Araujo
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JHNM
ORCID1 0000-0002-9506-4642
2 0000-0002-1015-5650
3 0000-0003-1322-1374
4 0000-0001-6904-3736
5 0000-0001-5167-6228
6 0000-0001-7065-2467
Group1 MET-MET-SESPG-INPE-MCTIC-GOV-BR
2 DIDSA-CGCPT-INPE-MCTIC-GOV-BR
3 DIDOP-CGCPT-INPE-MCTIC-GOV-BR
4 MET-MET-SESPG-INPE-MCTIC-GOV-BR
5 YYY-COCST-INPE-MCTIC-GOV-BR
6
7 MET-MET-SESPG-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Servicio Nacional de Meteorología e Hidrología del Perú
7 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 joaoafonso19@gmail.com
2 daniel.vila@inpe.br
3 manoel.gan@gmail.com
4 davidp157@gmail.com
5 netebarreto@gmail.com
6 joaohenry23@gmail.com
7 rayana.palharini@gmail.com
JournalRemote Sensing
Volume12
Number14
Pagese2339
Secondary MarkB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
History (UTC)2020-08-04 11:42:56 :: simone -> administrator ::
2020-08-04 11:42:57 :: administrator -> simone :: 2020
2020-08-04 11:44:58 :: simone -> administrator :: 2020
2022-01-04 01:35:17 :: administrator -> simone :: 2020
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsprecipitation
GSMaP
IMERG
CMORPH
AbstractThe main objective of this study is to assess the ability of several high-resolution satellite-based precipitation estimates to represent the Precipitation Diurnal Cycle (PDC) over Brazil during the 20142018 period, after the launch of the Global Precipitation Measurement satellite (GPM). The selected algorithms are the Global Satellite Mapping of Precipitation (GSMaP), The Integrated Multi-satellitE Retrievals for GPM (IMERG) and Climate Prediction Center (CPC) MORPHing technique (CMORPH). Hourly rain gauge data from different national and regional networks were used as the reference dataset after going through rigid quality control tests. All datasets were interpolated to a common 0.1◦ × 0.1◦ grid every 3 h for comparison. After a hierarchical cluster analysis, seven regions with different PDC characteristics (amplitude and phase) were selected for this study. The main results of this research could be summarized as follow: (i) Those regions where thermal heating produce deep convective clouds, the PDC is better represented by all algorithms (in term of amplitude and phase) than those regions driven by shallow convection or low-level circulation; (ii) the GSMaP suite (GSMaP-Gauge (G) and GSMaP-Motion Vector Kalman (MVK)), in general terms, outperforms the rest of the algorithms with lower bias and less dispersion. In this case, the gauge-adjusted version improves the satellite-only retrievals of the same algorithm suggesting that daily gauge-analysis is useful to reduce the bias in a sub-daily scale; (iii) IMERG suite (IMERG-Late (L) and IMERG-Final (F)) overestimates rainfall for almost all times and all the regions, while the satellite-only version provide better results than the final version; (iv) CMORPH has the better performance for a transitional regime between a coastal land-sea breeze and a continental amazonian regime. Further research should be performed to understand how shallow clouds processes and convective/stratiform classification is performed in each algorithm to improve the representativity of diurnal cycle.
AreaMET
Arrangement 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > MET > Precipitation diurnal cycle...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCST > Precipitation diurnal cycle...
Arrangement 3urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDOP > Precipitation diurnal cycle...
Arrangement 4urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSA > Precipitation diurnal cycle...
Arrangement 5urlib.net > BDMCI > Fonds > Produção anterior à 2021 > YYY-PCI-COCST > Precipitation diurnal cycle...
Arrangement 6urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCST > YYY-PCI-COCST > Precipitation diurnal cycle...
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source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W34R/4327SE2
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34R/4327SE2
Languageen
Target Fileremotesensing-12-02339.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3F35TRS
8JMKD3MGPCW/3F3T29H
8JMKD3MGPCW/43SQKNE
8JMKD3MGPCW/43SRC6S
8JMKD3MGPCW/449D74B
Citing Item Listsid.inpe.br/bibdigital/2021/01.03.02.10 5
sid.inpe.br/mtc-m21/2012/07.13.14.54.28 3
sid.inpe.br/bibdigital/2021/03.02.19.45 3
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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