| 1. Identity statement | ||||
| Reference Type | Slides (Audiovisual Material) | |||
| Site | mtc-m21d.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34T/49JP242 | |||
| Repository | sid.inpe.br/mtc-m21d/2023/08.07.19.03 | |||
| Last Update | 2023:12.20.18.48.25 (UTC) self-uploading-INPE-MCTI-GOV-BR | |||
| Metadata Repository | sid.inpe.br/mtc-m21d/2023/08.07.19.03.26 | |||
| Metadata Last Update | 2024:01.02.17.16.45 (UTC) administrator | |||
| Secondary Key | INPE--PRE/ | |||
| Citation Key | CamposVelho:2023:InPaDi | |||
| Title | Severe Weather Prediction: Integrating Partial Differential and Machine Learning Models  | |||
| Year | 2023 | |||
| Access Date | 2024, May 17 | |||
| Secondary Type | PRE CI | |||
| Number of Files | 1 | |||
| Size | 2878 KiB | |||
| 2. Context | ||||
| Author | Campos Velho, Haroldo Fraga de | |||
| Resume Identifier | 8JMKD3MGP5W/3C9JHC3 | |||
| Group | COPDT-CGIP-INPE-MCTI-GOV-BR | |||
| Affiliation | Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Author e-Mail Address | haroldo.camposvelho@inpe.br | |||
| Conference Name | Congreso Internacional de Matemática Aplicada y Computacional (CIMAC), 11 | |||
| Conference Location | Ñaña, Peru | |||
| Date | 01-04 Aug. | |||
| Book Title | Anales | |||
| History (UTC) | 2023-08-07 19:03:32 :: simone -> administrator :: 2023 2023-12-20 18:47:59 :: administrator -> self-uploading-INPE-MCTI-GOV-BR :: 2023 2023-12-20 18:48:26 :: self-uploading-INPE-MCTI-GOV-BR -> administrator :: 2023 2024-01-02 17:16:45 :: administrator -> simone :: 2023 | |||
| 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 | Weather and climate prediction is a permanent challenge. One remarkable scientific conquer was the numerical weather prediction (NWP) where the applied mathematics and scientific computing gave an important contribution. Nowadays machine learning algorithms have present a very good results on many applications. The focus of our talk is to combine the forecasting from a partial differential equation atmospheric model with a machine learning algorithm to predict precipitation for severe episodes. The attributes from differential equation model are selected by employing the p-value statistical hypothesis test. The forecasting using combined approaches produces a better precipitation prediction even for severe Weather | |||
| Area | COMP | |||
| Arrangement | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGIP > Severe Weather Prediction:... | |||
| 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/8JMKD3MGP3W34T/49JP242 | |||
| zipped data URL | http://urlib.net/zip/8JMKD3MGP3W34T/49JP242 | |||
| Language | en | |||
| Target File | CIMAC_2023-Haroldo.pdf | |||
| User Group | simone | |||
| Visibility | shown | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Next Higher Units | 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 1 | |||
| Host Collection | urlib.net/www/2021/06.04.03.40 | |||
| 6. Notes | ||||
| Empty Fields | abstract archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress format isbn issn label lineage mark mirrorrepository nextedition notes numberofslides orcid parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup readpermission rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype type url volume | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||