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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/43L973S
Repositorysid.inpe.br/mtc-m21c/2020/11.23.11.55
Last Update2021:04.13.18.33.38 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m21c/2020/11.23.11.55.23
Metadata Last Update2022:01.04.01.35.38 (UTC) administrator
DOI10.1175/WAF-D-20-0017.1
ISSN0882-8156
Labelself-archiving-INPE-MCTIC-GOV-BR
Citation KeyVendrascoMacRibFreNeg:2020:EvRaDa
TitleCloud-resolving model applied to nowcasting: An evaluation of radar data assimilation and microphysics parameterization
Year2020
MonthDec.
Access Date2024, May 04
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size6499 KiB
2. Context
Author1 Vendrasco, Éder Paulo
2 Machado, Luiz Augusto Toledo
3 Ribeiro, B. Z.
4 Freitas, E. D.
5 Negri, Renato Galante
Resume Identifier1
2 8JMKD3MGP5W/3C9JHMS
Group1 CGCPT-CGCPT-INPE-MCTIC-GOV-BR
2 DIDSA-CGCPT-INPE-MCTIC-GOV-BR
3
4
5 DIDSA-CGCPT-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 University at Albany
4 Universidade de São Paulo (USP)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1
2 luiz.machado@inpe.br
JournalWeather and Forecasting
Volume35
Number6
Pages2345-2365
Secondary MarkA2_INTERDISCIPLINAR A2_GEOCIÊNCIAS
History (UTC)2020-11-23 11:55:23 :: simone -> administrator ::
2020-11-23 11:55:24 :: administrator -> simone :: 2020
2020-11-23 11:56:40 :: simone -> administrator :: 2020
2020-11-24 05:37:34 :: administrator -> simone :: 2020
2020-12-14 14:59:47 :: simone -> administrator :: 2020
2021-01-04 13:26:52 :: administrator -> self-uploading-INPE-MCTI-GOV-BR :: 2020
2021-04-13 18:33:39 :: self-uploading-INPE-MCTI-GOV-BR -> administrator :: 2020
2022-01-04 01:35:38 :: administrator -> simone :: 2020
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
AbstractThis research explores the benefits of radar data assimilation for short-range weather forecasts in southeastern Brazil using the Weather Research and Forecasting (WRF) Models three-dimensional variational data assimilation (3DVAR) system. Different data assimilation options are explored, including the cycling frequency, the number of outer loops, and the use of null-echo assimilation. Initially, four microphysics parameterizations are evaluated (Thompson, Morrison, WSM6, and WDM6). The Thompson parameterization produces the best results, while the other parameterizations generally overestimate the precipitation forecast, especially WDSM6. Additionally, the Thompson scheme tends to overestimate snow, while the Morrison scheme overestimates graupel. Regarding the data assimilation options, the results deteriorate and more spurious convection occurs when using a higher cycling frequency (i.e., 30 min instead of 60 min). The use of two outer loops produces worse precipitation forecasts than the use of one outer loop, and the null-echo assimilation is shown to be an effective way to suppress spurious convection. However, in some cases, the null-echo assimilation also removes convective clouds that are not observed by the radar and/or are still not producing rain, but have the potential to grow into an intense convective cloud with heavy rainfall. Finally, a cloud convective mask was implemented using ancillary satellite data to prevent null-echo assimilation from removing potential convective clouds. The mask was demonstrated to be beneficial in some circumstances, but it needs to be carefully evaluated in more cases to have a more robust conclusion regarding its use.
AreaMET
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGCPT > Cloud-resolving model applied...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSA > Cloud-resolving model applied...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 23/11/2020 08:55 1.0 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W34R/43L973S
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34R/43L973S
Languageen
Target Filevendrasco_cloud.pdf
User Groupsimone
Visibilityshown
Archiving Policydenypublisher6 allowfinaldraft
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3EUPEJL
8JMKD3MGPCW/43SRC6S
Citing Item Listsid.inpe.br/bibdigital/2021/01.03.02.10 3
sid.inpe.br/bibdigital/2013/10.06.18.03 3
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url versiontype
7. Description control
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