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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierQABCDSTQQW/468R6FE
Repositoryurlib.net/www/2022/01.25.13.14
Metadata Repositoryurlib.net/www/2022/01.25.13.14.21
Metadata Last Update2023:01.03.16.46.28 (UTC) administrator
Secondary KeyINPE--PRE/
Citation KeyInouyeVeHeCaBePa:2022:UsRaDa
TitleThe Use of the Radar Data Assimilation to Improve Short-Range Forecasts of Precipitation
Year2022
Access Date2024, May 04
Secondary TypePRE CI
2. Context
Author1 Inouye, Rafael Toshio
2 Vendrasco, Eder Paulo
3 Herdies, Dirceu Luís
4 Calvetti, Leonardo
5 Beneti, Cesar
6 Paz, Sheila
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JGTU
Group1
2 DIMNT-CGCT-INPE-MCTI-GOV-BR
3 DIMNT-CGCT-INPE-MCTI-GOV-BR
Affiliation1 SIMEPAR
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Universidade Federal de Pelotas (UFPel)
5 SIMEPAR
6 SIMEPAR
Author e-Mail Address1
2 edervendrasco@gmail.com
3 dirceu.herdies@inpe.br
Conference NameAmerican Meteorological Society Annual Meeting, 102
Conference LocationHouston, Texas
Date23-27 jan. 2022
PublisherAMS
History (UTC)2022-01-25 13:14:21 :: simone -> administrator ::
2022-07-08 16:51:17 :: administrator -> simone :: 2022
2022-12-20 14:27:44 :: simone -> administrator :: 2022
2023-01-03 16:46:28 :: administrator -> simone :: 2022
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typepublisher
AbstractRegions such as South America and especially the southern region of Brazil are at the center of extreme events, with the occurrence of several phenomena of extreme impact, with large volumes of precipitation and intense winds, including the occurrence of tornadoes, which have become more frequent and affected the lives of thousands of people, causing material damage and loss of human life. In this sense, several works have been developed to improve the quality of the analyzes and mainly the short-term forecast. The use of radar data has been shown to be fundamental for forecasting up to 6 h. Using the WRF model and its data assimilation component, several experiments were carried out. The reflectivity and radial wind data from the Paraná state radar data mosaic were prepared for its use in assimilation. In this work, the results of these experiments will be presented, as well as the use of the reflectivity null echo assimilation procedure, in order to suppress the spurious precipitation effects of the model. Besides, data from local surface station network were also assimilated and compared to the experiments assimilating radar data over Parana State in Brazil. All the experiments performed better than the control run, with no data assimilation, at least in the first few hours of simulation. The main impact observed was the simulation of convective areas when radar data assimilation was used and, of course, the convection was detected in the radar coverage area. These results indicated that the mixing ratio distribution could be better solved when factor reflectivity from weather radar is used in the simulations for severe weather.
AreaMET
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4. Conditions of access and use
Languageen
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUATE
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
Empty Fieldsarchivingpolicy archivist booktitle callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark mirrorrepository nextedition notes numberoffiles numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle size sponsor subject targetfile tertiarymark tertiarytype type url volume
7. Description control
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