1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21c.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34R/42RPPLP |
Repository | sid.inpe.br/mtc-m21c/2020/07.14.12.08 |
Last Update | 2020:07.14.12.08.25 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21c/2020/07.14.12.08.25 |
Metadata Last Update | 2022:01.04.01.35.15 (UTC) administrator |
DOI | 10.3390/rs12132085 |
ISSN | 2072-4292 |
Citation Key | PalhariniViRoQuPaSiAf:2020:AsExPr |
Title | Assessment of the extreme precipitation by satellite estimates over South America |
Year | 2020 |
Month | July |
Access Date | 2024, Apr. 24 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 5366 KiB |
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2. Context | |
Author | 1 Palharini, Rayana Santos Araujo 2 Vila, Daniel Alejandro 3 Rodrigues, Daniele Tôrres 4 Quispe, David Pareja 5 Palharini, Rodrigo Cassineli 6 Siqueira, Ricardo Almeida de 7 Afonso, João Maria de Sousa |
ORCID | 1 0000-0001-5503-8450 2 3 0000-0003-4307-2832 4 0000-0001-6904-3736 5 0000-0003-3548-2735 6 0000-0003-3249-4546 7 0000-0002-9506-4642 |
Group | 1 MET-MET-SESPG-INPE-MCTIC-GOV-BR 2 DIDSA-CGCPT-INPE-MCTIC-GOV-BR 3 4 MET-MET-SESPG-INPE-MCTIC-GOV-BR 5 6 MET-MET-SESPG-INPE-MCTIC-GOV-BR 7 MET-MET-SESPG-INPE-MCTIC-GOV-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Universidade Federal do Piauí (UFPI) 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 Universidad Técnica Federico Santa María 6 Instituto Nacional de Pesquisas Espaciais (INPE) 7 Instituto Nacional de Pesquisas Espaciais (INPE) |
Author e-Mail Address | 1 rayana.palharini@gmail.com 2 daniel.vila@inpe.br 3 mspdany@yahoo.com.br 4 davidp157@gmail.com 5 rodrigo.cassineli@usm.cl 6 ricardo.siqueira@inpe.br 7 joaoafonso19@gmail.com |
Journal | Remote Sensing |
Volume | 12 |
Number | 13 |
Pages | e2085 |
Secondary Mark | B3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I |
History (UTC) | 2020-07-14 12:08:25 :: simone -> administrator :: 2020-07-14 12:08:25 :: administrator -> simone :: 2020 2020-07-14 12:09:54 :: simone -> administrator :: 2020 2022-01-04 01:35:15 :: administrator -> simone :: 2020 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Version Type | publisher |
Keywords | extreme precipitation rainfall estimates satellite |
Abstract | In developing countries, accurate rainfall estimation with adequate spatial distribution is limited due to sparse rain gauge networks. One way to solve this problem is the use of satellite-based precipitation products. These satellite products have significant spatial coverage of rainfall estimates and it is of fundamental importance to investigate their performance across spacetime scales and the factors that affect their uncertainties. In the open literature, some studies have already analyzed the ability of satellite-based rain estimation products to estimate average rainfall values. These investigations have found very close agreement between the estimates and observed data. However, further evaluation of the satellite precipitation products is necessary to improve their reliability to estimate extreme values. In this scenario, the main goal of this work is to evaluate the ability of satellite-based precipitation products to capture the characteristics of extreme precipitation over the tropical region of South America. The products evaluated in this investigation were 3B42 RT v7.0, 3B42 RT v7.0 uncalibrated, CMORPH V1.0 RAW, CMORPH V1.0 CRT, GSMAP-NRT-no gauge v6.0, GSMAP-NRT- gauge v6.0, CHIRP V2.0, CHIRPS V2.0, PERSIANN CDR v1 r1, CoSch and TAPEER v1.5 from Frequent Rainfall Observations on GridS (FROGS) database. Some products considered in this investigation are adjusted with rain gauge values and others only with satellite information. In this study, these two sets of products were considered. In addition, gauge-based daily precipitation data, provided by Brazils National Institute for Space Research, were used as reference in the analyses. In order to compare gauge-based daily precipitation and satellite-based data for extreme values, statistical techniques were used to evaluate the performance the selected satellite products over the tropical region of South America. According to the results, the threshold for rain to be considered an extreme event in South America presented high variability, ranging from 20 to 150 mm/day, depending on the region and the percentile threshold chosen for analysis. In addition, the results showed that the ability of the satellite estimates to retrieve rainfall extremes depends on the geographical location and large-scale rainfall regimes. |
Area | MET |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > MET > Assessment of the... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSA > Assessment of the... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGP3W34R/42RPPLP |
zipped data URL | http://urlib.net/zip/8JMKD3MGP3W34R/42RPPLP |
Language | en |
Target File | remotesensing-12-02085-v2.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Archiving Policy | allowpublisher allowfinaldraft |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/3F35TRS 8JMKD3MGPCW/43SRC6S |
Citing Item List | sid.inpe.br/bibdigital/2021/01.03.02.10 2 |
Dissemination | WEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS. |
Host Collection | urlib.net/www/2017/11.22.19.04 |
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6. Notes | |
Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Description control | |
e-Mail (login) | simone |
update | |
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