| 1. Identity statement | ||||
| Reference Type | Journal Article | |||
| Site | mtc-m21c.sid.inpe.br (namespace prefix: upn:3Q3U5H8) | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34R/43AG2AB | |||
| Repository | sid.inpe.br/mtc-m21c/2020/09.24.13.00 (restricted access) | |||
| Last Update | 2020:09.24.13.00.29 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21c/2020/09.24.13.00.29 | |||
| Metadata Last Update | 2022:01.04.01.35.24 (UTC) administrator | |||
| DOI | 10.3390/w12092478 | |||
| ISSN | 2073-4441 | |||
| Citation Key | DantasSOBSMOB:2020:RaPrSt | |||
| Title | Rainfall prediction in the state of Paraíba, Northeastern Brazil using generalized additive models  | |||
| Year | 2020 | |||
| Month | Sept. | |||
| Access Date | 2025, Dec. 08 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PI | |||
| Number of Files | 1 | |||
| Size | 5820 KiB | |||
| 2. Context | ||||
| Author | 1 Dantas, Leydson Galvíncio 2 Santos, Carlos A. C. dos 3 Olinda, Ricardo A. de 4 Brito, José Ivaldo B. de 5 Santos, Celso A. G. 6 Martins, Eduardo S. P. R. 7 Oliveira, Gabriel de 8 Brunsell, Nathaniel A. | |||
| ORCID | 1 2 0000-0003-2414-2911 3 4 0000-0002-1845-935X 5 0000-0001-7927-9718 6 7 0000-0002-1940-6874 8 0000-0002-4460-8283 | |||
| Group | 1 DIDOP-CGCPT-INPE-MCTIC-GOV-BR | |||
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Universidade Federal de Campina Grande (UFCG) 3 Universidade Estadual da Paraíba (UEPB) 4 Universidade Federal de Campina Grande (UFCG) 5 Universidade Federal da Paraíba (UFPB) 6 Fundação Cearense de Meterologia e Recursos Hídricos (FUNCEME) 7 University of Toronto 8 University of Kansas | |||
| Author e-Mail Address | 1 leydson.dantas@inpe.br 2 carlos.santos@ufcg.edu.br 3 prof_ricardo@servidor.uepb.edu.br 4 jose.ivaldo@ufcg.edu.br 5 celso@ct.ufpb.br 6 presidencia@funceme.br 7 gabriel.deoliveira@utoronto.ca 8 brunsell@ku.edu | |||
| Journal | Water (Switzerland) | |||
| Volume | 12 | |||
| Number | 9 | |||
| Pages | e2478 | |||
| Secondary Mark | B3_ENGENHARIAS_I | |||
| Host Collection | urlib.net/www/2017/11.22.19.04 upn:3Q3U5H8 | |||
| History (UTC) | 2020-09-24 13:02:38 :: simone -> administrator :: 2020 2022-01-04 01:35:24 :: administrator -> simone :: 2020 | |||
| 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 | non-stationary water resources SST indices Northeast of Brazil zero adjusted Gamma distribution (ZAGA) | |||
| Abstract | The state of Paraíba is part of the semi-arid region of Brazil, where severe droughts have occurred in recent years, resulting in significant socio-economic losses associated with climate variability. Thus, understanding to what extent precipitation can be influenced by sea surface temperature (SST) patterns in the tropical region can help, along with a monitoring system, to set up an early warning system, the first pillar in drought management. In this study, Generalized Additive Models for Location, Scale and Shape (GAMLSS) were used to filter climatic indices with higher predictive efficiency and, as a result, to perform rainfall predictions. The results show the persistent influence of tropical SST patterns in Paraíba rainfall, the tropical Atlantic Ocean impacting the rainfall distribution more effectively than the tropical Pacific Ocean. The GAMLSS model showed predictive capability during summer and southern autumn in Paraíba, highlighting the JFM (January, February and March), FMA (February, March and April), MAM (March, April and May), and AMJ (April, May and June) trimesters as those with the highest predictive potential. The methodology demonstrates the ability to be integrated with regional forecasting models (ensemble). Such information has the potential to inform decisions in multiple sectors, such as agriculture and water resources, aiming at the sustainable management of water resources and resilience to climate risk. | |||
| Area | MET | |||
| Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDOP > Rainfall prediction in... | |||
| 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 | dantas_rainfall.pdf | |||
| User Group | simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| Read Permission | deny from all and allow from 150.163 | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Next Higher Units | 8JMKD3MGPCW/43SQKNE | |||
| Citing Item List | sid.inpe.br/bibdigital/2021/01.02.22.14 - 35 | |||
| Dissemination | WEBSCI; PORTALCAPES; SCOPUS. | |||
| 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 resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||