| 1. Identity statement | ||||
| Reference Type | Journal Article | |||
| Site | mtc-m21c.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34R/3SRCH98 | |||
| Repository | sid.inpe.br/mtc-m21c/2019/03.01.17.16 (restricted access) | |||
| Last Update | 2019:03.01.17.16.33 (UTC) administrator | |||
| Metadata Repository | sid.inpe.br/mtc-m21c/2019/03.01.17.16.33 | |||
| Metadata Last Update | 2020:01.06.11.42.11 (UTC) administrator | |||
| DOI | 10.1111/jfr3.12452 | |||
| ISSN | 1753-318X | |||
| Citation Key | TomasellaGFCDRPNMS:2019:EfBaSc | |||
| Title | Probabilistic flood forecasting in the Doce Basin in Brazil: Effects of the basin scale and orientation and the spatial distribution of rainfall  | |||
| Year | 2019 | |||
| Month | mar. | |||
| Access Date | 2024, May 08 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PI | |||
| Number of Files | 1 | |||
| Size | 4577 KiB | |||
| 2. Context | ||||
| Author | 1 Tomasella, Javier 2 Gonçalves, A. Sene 3 Falck, Aline Schneider 4 Caram, R. Oliveira 5 Diniz, Fábio Luiz Rodrigues 6 Rodriguez, Daniel Andres 7 Prado, Maria Cecília Rdorigues do 8 Negrão, Anne Caroline 9 Medeiros, Gustavo Sueiro 10 Siqueira, Gracielle Chagas | |||
| Resume Identifier | 1 8JMKD3MGP5W/3C9JHE3 | |||
| ORCID | 1 0000-0003-2597-8833 2 3 4 5 0000-0001-9026-6328 | |||
| Group | 1 2 3 MET-MET-SESPG-INPE-MCTIC-GOV-BR 4 5 MET-MET-SESPG-INPE-MCTIC-GOV-BR 6 COCST-COCST-INPE-MCTIC-GOV-BR 7 COCST-COCST-INPE-MCTIC-GOV-BR 8 COCST-COCST-INPE-MCTIC-GOV-BR 9 CGCPT-CGCPT-INPE-MCTIC-GOV-BR 10 CGCPT-CGCPT-INPE-MCTIC-GOV-BR | |||
| Affiliation | 1 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN) 2 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN) 5 Instituto Nacional de Pesquisas Espaciais (INPE) 6 Instituto Nacional de Pesquisas Espaciais (INPE) 7 Instituto Nacional de Pesquisas Espaciais (INPE) 8 Instituto Nacional de Pesquisas Espaciais (INPE) 9 Instituto Nacional de Pesquisas Espaciais (INPE) 10 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Author e-Mail Address | 1 javier.tomasella@cemaden.gov.br 2 3 4 5 6 7 8 9 gustavo.medeiros@inpe.br | |||
| Journal | Journal of Flood Risk Management | |||
| Volume | 12 | |||
| Number | 1 | |||
| Pages | e12452 | |||
| History (UTC) | 2019-03-01 17:17:47 :: simone -> administrator :: 2019 2020-01-06 11:42:11 :: administrator -> simone :: 2019 | |||
| 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 events forecasting and warning natural flood management | |||
| Abstract | We critically examined the performance of probabilistic streamflow forecasting inthe prediction of flood events in 19 subbasins of the Doce River in Brazil using theEta (4 members, 5 km spatial resolution) and European Centre for Medium-RangeWeather Forecasts (ECMWF; 51 members, 32 km resolution) weather forecastmodels as inputs for the MHD-INPE hydrological model. We observed that theshapes and orientations of subbasins influenced the predictability of floods due tothe orientation of rainfall events. Streamflow forecasts that use the ECMWF dataas input showed higher skill scores than those that used the Eta model for subbasinswith drainage areas larger than 20,000 km2. Since the skill scores were similar forboth models in smaller subbasins, we concluded that the grid size of the weathermodel could be important for smaller catchments, while the number of memberswas crucial for larger scales. We also evaluated the performance of probabilisticstreamflow forecasting for the severe flood event of late 2013 through a compari-son of observations and streamflow estimations derived from interpolated rainfallfields. In many cases, the mean of the ensemble outperformed the streamflow esti-mations from the interpolated rainfall because the spatial structure of a rainfallevent is better captured by weather forecast models. | |||
| Area | MET | |||
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGCPT > Probabilistic flood forecasting... | |||
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > MET > Probabilistic flood forecasting... | |||
| Arrangement 3 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCST > Probabilistic flood forecasting... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| Language | en | |||
| Target File | tomasella_probabilistic.pdf | |||
| User Group | simone | |||
| Visibility | shown | |||
| Read Permission | deny from all and allow from 150.163 | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Next Higher Units | 8JMKD3MGPCW/3EUPEJL 8JMKD3MGPCW/3F35TRS 8JMKD3MGPCW/3F3T29H | |||
| Dissemination | WEBSCI; SCOPUS. | |||
| Host Collection | urlib.net/www/2017/11.22.19.04 | |||
| 6. Notes | ||||
| Empty Fields | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||