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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/3SQ39T2
Repositorysid.inpe.br/mtc-m21c/2019/02.21.10.57
Last Update2019:02.21.10.57.09 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2019/02.21.10.57.09
Metadata Last Update2021:01.02.03.44.12 (UTC) administrator
DOI10.3390/rs11030256
ISSN2072-4292
Citation KeyHernándezBañosSapCucBasSil:2019:AsGPBe
TitleAssimilation of GPSRO bending angle profiles into the Brazilian global atmospheric model
Year2019
MonthFeb.
Access Date2024, May 19
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size3663 KiB
2. Context
Author1 Hernández Baños, Ivette
2 Sapucci, Luiz Fernando
3 Cucurull, Lidia
4 Bastarz, Carlos Frederico
5 Silveira, Bruna Barbosa
ORCID1 0000-0003-3821-1770
2 0000-0001-8420-8033
3
4 0000-0001-5402-7979
Group1 CGCPT-CGCPT-INPE-MCTIC-GOV-BR
2 DIDMD-CGCPT-INPE-MCTIC-GOV-BR
3
4 DIDMD-CGCPT-INPE-MCTIC-GOV-BR
5 CGCPT-CGCPT-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 NOAA Atlantic Oceanographic and Meteorological Laboratory
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 ibanos90@gmail.com
2 luiz.sapucci@inpe.br
3
4 carlos.bastarz@inpe.br
5 brunabs.silveira@gmail.com
JournalRemote Sensing
Volume11
Number3
Pagese256
Secondary MarkB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
History (UTC)2019-02-21 10:57:09 :: simone -> administrator ::
2019-02-21 10:57:10 :: administrator -> simone :: 2019
2019-02-21 10:57:55 :: simone -> administrator :: 2019
2019-02-22 02:56:22 :: administrator -> simone :: 2019
2019-12-06 16:47:52 :: simone -> administrator :: 2019
2021-01-02 03:44:12 :: administrator -> simone :: 2019
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsradio occultation data
GPSRO
bending angle
data assimilation
GSI
numerical weather prediction
AbstractThe Global Positioning System (GPS) Radio Occultation (RO) technique allows valuable information to be obtained about the state of the atmosphere through vertical profiles obtained at various processing levels. From the point of view of data assimilation, there is a consensus that less processed data are preferable because of their lowest addition of uncertainties in the process. In the GPSRO context, bending angle data are better to assimilate than refractivity or atmospheric profiles; however, these data have not been properly explored by data assimilation at the CPTEC (acronym in Portuguese for Center for Weather Forecast and Climate Studies). In this study, the benefits and possible deficiencies of the CPTEC modeling system for this data source are investigated. Three numerical experiments were conducted, assimilating bending angles and refractivity profiles in the Gridpoint Statistical Interpolation (GSI) system coupled with the Brazilian Global Atmospheric Model (BAM). The results highlighted the need for further studies to explore the representation of meteorological systems at the higher levels of the BAM model. Nevertheless, more benefits were achieved using bending angle data compared with the results obtained assimilating refractivity profiles. The highest gain was in the data usage exploring 73.4% of the potential of the RO technique when bending angles are assimilated. Additionally, gains of 3.5% and 2.5% were found in the root mean square error values in the zonal and meridional wind components and geopotencial height at 250 hPa, respectively.
AreaMET
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGCPT > Assimilation of GPSRO...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > Assimilation of GPSRO...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://mtc-m21c.sid.inpe.br/ibi/8JMKD3MGP3W34R/3SQ39T2
zipped data URLhttp://mtc-m21c.sid.inpe.br/zip/8JMKD3MGP3W34R/3SQ39T2
Languageen
Target Filebanos_assimilation.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Linking8JMKD3MGP3W34P/3NADQ2E
Mirror Repositoryurlib.net/www/2017/11.22.19.04.03
Next Higher Units8JMKD3MGPCW/3EUPEJL
8JMKD3MGPCW/43SKC35
Citing Item Listsid.inpe.br/bibdigital/2013/10.06.18.03 5
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarytype url
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