| 1. Identity statement | ||||
| Reference Type | Conference Paper (Conference Proceedings) | |||
| Site | mtc-m21d.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34T/4AMUAF8 | |||
| Repository | sid.inpe.br/mtc-m21d/2024/02.09.12.46 | |||
| Metadata Repository | sid.inpe.br/mtc-m21d/2024/02.09.12.46.59 | |||
| Metadata Last Update | 2024:02.28.09.24.17 (UTC) administrator | |||
| Secondary Key | INPE--PRE/ | |||
| Citation Key | FeitosaFreiCampChov:2024:DaFuAp | |||
| Title | Data Fusion Approach for Precipitation Nowcasting with ConvLSTM  | |||
| Year | 2024 | |||
| Access Date | 2024, May 09 | |||
| Secondary Type | PRE CI | |||
| 2. Context | ||||
| Author | 1 Feitosa, Otávio Medeiros 2 Freitas, Saulo Ribeiro de 3 Campos Velho, Haroldo Fraga de 4 Chovert, Angel Dominguez | |||
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JJ7M 3 8JMKD3MGP5W/3C9JHC3 | |||
| Group | 1 MET-MET-DIPGR-INPE-MCTI-GOV-BR 2 DIMNT-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) 4 Universidade Federal de Goiás (UFG) | |||
| Author e-Mail Address | 1 2 saulo.freitas@inpe.br 3 haroldo.camposvelho@inpe.br | |||
| Conference Name | American Meteorologial Society Annual Meeting, 104 | |||
| Conference Location | Baltimore, MD | |||
| Date | 28 jan. - 01 feb. 2024 | |||
| Publisher | AMS | |||
| Book Title | Proceedings | |||
| History (UTC) | 2024-02-09 12:46:59 :: simone -> administrator :: 2024-02-28 09:24:17 :: administrator -> simone :: 2024 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Version Type | publisher | |||
| Abstract | Heavy rainfall events can lead to significant destructive consequences and impacts in urban centers and socially vulnerable regions.To address this critical issue, we propose a modeling approach rooted in Convolutional Structures within the framework of the Long Short-Term Memory Model (ConvLSTM). This neural network architecture specializes in spatio-temporal prediction, in this case will be applied for short-term forecasts spanning up to 6-hour length. The model provides probabilistic outputs indicating different categories of a threshold of accumulated precipitation. Leveraging input data from multiple sources, including the infrared channels of the GOES satellite, orographic features derived from MODIS product, and insights from the Geostationary Lightning Mapper (GLM), our approach incorporates ConvLSTM architecture. The target dataset encompasses Global Precipitation Measurement (GPM IMERGE, version 'final run') as a training target. Subsequently testing and validation were conducted against precipitation events occurring in the central region of Brazil outside the training period to validate the ability of the model generalization. Preliminary results of cases study, indicate categorical fields of model responses very similar to those observed by the GPM IMERGE, despite some discrepancies between rain gauges, tests performed with a 6-hour prediction window showed a qualitative ability to estimate categories in a dataset outside of training data, indicating a relative capacity of generalization of the model for the domain. | |||
| Area | MET | |||
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > MET > Data Fusion Approach... | |||
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Data Fusion Approach... | |||
| Arrangement 3 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGIP > Data Fusion Approach... | |||
| doc Directory Content | there are no files | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| Language | en | |||
| User Group | simone | |||
| Visibility | shown | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Mirror Repository | urlib.net/www/2021/06.04.03.40.25 | |||
| Next Higher Units | 8JMKD3MGPCW/3F35TRS 8JMKD3MGPCW/46KUATE 8JMKD3MGPCW/46KUES5 | |||
| Host Collection | urlib.net/www/2021/06.04.03.40 | |||
| 6. Notes | ||||
| Empty Fields | archivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark nextedition notes numberoffiles numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress readergroup readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle size sponsor subject targetfile tertiarymark tertiarytype type url volume | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||