1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21d.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | QABCDSTQQW/46C4HFE |
Repository | urlib.net/www/2022/02.14.11.08 |
Last Update | 2022:02.14.11.08.47 (UTC) simone |
Metadata Repository | urlib.net/www/2022/02.14.11.08.47 |
Metadata Last Update | 2023:01.03.16.46.29 (UTC) administrator |
DOI | 10.3390/atmos13020243 |
ISSN | 2073-4433 |
Citation Key | MonegoAnocCamp:2022:SoAmSe |
Title | South America Seasonal Precipitation Prediction by Gradient-Boosting Machine-Learning Approach |
Year | 2022 |
Month | Feb. |
Access Date | 2024, May 17 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 1997 KiB |
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2. Context | |
Author | 1 Monego, Vinicius Schmidt 2 Anochi, Juliana Aparecida 3 Campos Velho, Haroldo Fraga de |
Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JHC3 |
ORCID | 1 2 0000-0003-0769-9750 3 0000-0003-4968-5330 |
Group | 1 CAP-COMP-DIPGR-INPE-MCTI-GOV-BR 2 DIPTC-CGCT-INPE-MCTI-GOV-BR 3 COPDT-CGIP-INPE-MCTI-GOV-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) |
Author e-Mail Address | 1 vinicius.monego@inpe.br 2 juliana.anochi@gmail.com 3 haroldo.camposelho@inpe.br |
Journal | Atmosphere |
Volume | 13 |
Number | 2 |
Pages | e243 |
Secondary Mark | B3_ENGENHARIAS_III B3_ENGENHARIAS_I B3_CIÊNCIAS_AMBIENTAIS B4_ENGENHARIAS_II B5_GEOCIÊNCIAS |
History (UTC) | 2022-02-14 11:08:47 :: simone -> administrator :: 2022-02-14 11:08:48 :: administrator -> simone :: 2022 2022-02-14 11:08:57 :: simone -> administrator :: 2022 2023-01-03 16:46:29 :: administrator -> simone :: 2022 |
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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 | Gradient boosting Machine learning Precipitation Seasonal climate prediction |
Abstract | Machine learning has experienced great success in many applications. Precipitation is a hard meteorological variable to predict, but it has a strong impact on society. Here, a machine-learning techniquea formulation of gradient-boosted treesis applied to climate seasonal precipitation prediction over South America. The Optuna framework, based on Bayesian optimization, was employed to determine the optimal hyperparameters for the gradient-boosting scheme. A comparison between seasonal precipitation forecasting among the numerical atmospheric models used by the National Institute for Space Research (INPE, Brazil) as an operational procedure for weather/climate forecasting, gradient boosting, and deep-learning techniques is made regarding observation, with some showing better performance for the boosting scheme. |
Area | COMP |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CAP > South America Seasonal... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > South America Seasonal... |
Arrangement 3 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGIP > South America Seasonal... |
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/QABCDSTQQW/46C4HFE |
zipped data URL | http://urlib.net/zip/QABCDSTQQW/46C4HFE |
Language | en |
Target File | atmosphere-13-00243-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/3F2PHGS 8JMKD3MGPCW/46KUATE 8JMKD3MGPCW/46KUES5 |
Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.49.40 3 sid.inpe.br/bibdigital/2022/04.03.23.11 3 sid.inpe.br/bibdigital/2013/10.12.22.16 1 |
Dissemination | WEBSCI; PORTALCAPES; SCOPUS. |
Host Collection | urlib.net/www/2021/06.04.03.40 |
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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 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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