1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21c.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34R/43L973S |
Repository | sid.inpe.br/mtc-m21c/2020/11.23.11.55 |
Last Update | 2021:04.13.18.33.38 (UTC) administrator |
Metadata Repository | sid.inpe.br/mtc-m21c/2020/11.23.11.55.23 |
Metadata Last Update | 2022:01.04.01.35.38 (UTC) administrator |
DOI | 10.1175/WAF-D-20-0017.1 |
ISSN | 0882-8156 |
Label | self-archiving-INPE-MCTIC-GOV-BR |
Citation Key | VendrascoMacRibFreNeg:2020:EvRaDa |
Title | Cloud-resolving model applied to nowcasting: An evaluation of radar data assimilation and microphysics parameterization |
Year | 2020 |
Month | Dec. |
Access Date | 2024, May 04 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 6499 KiB |
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2. Context | |
Author | 1 Vendrasco, Éder Paulo 2 Machado, Luiz Augusto Toledo 3 Ribeiro, B. Z. 4 Freitas, E. D. 5 Negri, Renato Galante |
Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHMS |
Group | 1 CGCPT-CGCPT-INPE-MCTIC-GOV-BR 2 DIDSA-CGCPT-INPE-MCTIC-GOV-BR 3 4 5 DIDSA-CGCPT-INPE-MCTIC-GOV-BR |
Affiliation | 1 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 Address | 1 2 luiz.machado@inpe.br |
Journal | Weather and Forecasting |
Volume | 35 |
Number | 6 |
Pages | 2345-2365 |
Secondary Mark | A2_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 |
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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 |
Abstract | This 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. |
Area | MET |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGCPT > Cloud-resolving model applied... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSA > Cloud-resolving model applied... |
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/8JMKD3MGP3W34R/43L973S |
zipped data URL | http://urlib.net/zip/8JMKD3MGP3W34R/43L973S |
Language | en |
Target File | vendrasco_cloud.pdf |
User Group | simone |
Visibility | shown |
Archiving Policy | denypublisher6 allowfinaldraft |
Read Permission | allow from all |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/3EUPEJL 8JMKD3MGPCW/43SRC6S |
Citing Item List | sid.inpe.br/bibdigital/2021/01.03.02.10 3 sid.inpe.br/bibdigital/2013/10.06.18.03 3 |
Dissemination | WEBSCI; PORTALCAPES; MGA; COMPENDEX. |
Host Collection | urlib.net/www/2017/11.22.19.04 |
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6. Notes | |
Empty Fields | alternatejournal 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 |
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7. Description control | |
e-Mail (login) | simone |
update | |
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