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Search local date and time: 29/01/2023 13:19.
1. Identity statement
Reference TypeJournal Article
Sitemtc-m16d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP7W/3DD75DS
Repositorysid.inpe.br/mtc-m19/2013/01.17.16.34   (restricted access)
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Metadata Repositorysid.inpe.br/mtc-m19/2013/01.17.16.34.10
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Secondary KeyINPE--PRE/
DOI10.1002/joc.3411
ISSN0899-8418
Citation KeyMachadoJustPezz:2012:ChGlHe
TitleChanges in the global heat transport and eddy-mean flow interaction associated with weaker thermohaline circulation
ProjectConselho Nacional de Pesquisas - CNPq Brazil 305980/2009-2 304887/2009 Fundacao de Pesquisa do Estado de Minas Gerais (FAPEMIG) PPM-00020-11
Year2012
MonthDec.
Access Date2023, Jan. 29
Secondary TypePRE PI
Number of Files1
Size1147 KiB
2. Context
Author1 Machado, Jeferson Prietsch
2 Justino, Flavio
3 Pezzi, Luciano Ponzi
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JHM8
Group1
2 CPT-CPT-INPE-MCTI-GOV-BR
3 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 jefpmac@gmail.com
JournalInternational Journal of Climatology
Volume32
Number15
Pages2255–2270
Secondary MarkA1_CIÊNCIAS_AGRÁRIAS_I A1_ENGENHARIAS_I A2_GEOCIÊNCIAS A1_INTERDISCIPLINAR
History (UTC)2013-01-17 16:34:10 :: marciana -> administrator ::
2013-01-17 16:34:11 :: administrator -> marciana :: 2012
2013-01-17 16:43:07 :: marciana -> administrator :: 2012
2013-01-20 15:48:04 :: administrator -> marciana :: 2012
2013-02-05 18:12:39 :: marciana -> administrator :: 2012
2018-06-05 04:13:53 :: administrator -> marciana :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
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Content TypeExternal Contribution
Version Typepublisher
Keywordsthermohaline circulation
baroclinic activity
storm tracks
heat transport
LAST GLACIAL MAXIMUM
COUPLED CLIMATE MODEL
NORTH-ATLANTIC
OCEAN CIRCULATION
BIPOLAR SEESAW
STORM-TRACKS
WIND STRESS
ATMOSPHERE
EQUILIBRIUM
SIMULATIONS
AbstractThis study investigates the anomalous patterns of the oceanic and atmospheric heat transport, transient waves and the interaction between transient waves and the mean zonal flow. The evaluation is based on simulations performed with a coupled model forced by an increase of 1 Sverdrup of freshwater flux into the North Atlantic Ocean. It is found that an increase of freshwater flux in the North Atlantic leads to a weakening in the Northern Hemisphere (NH) oceanic heat transport by up to 1 Petawatt (1015) PW but results in an intensification of the Southern Hemisphere (SH) total heat transport. This inter-hemispheric seesaw leads to substantial changes in transient wave activity which is associated with anomalous meridional temperature flux and eddy kinetic energy (EKE). During winter in the NH, weakening of the thermohaline circulation induces an increase in the storm track activity. However, a reduction in storm tracks is found over the extratropical regions of the SH. The correspondence between the anomalies of storm track intensity and Eady growth rate lead to the conclusion that changes in the transient eddy activity are mostly generated by changes in baroclinic conditions. Furthermore, calculations of the E vector show that interaction between transient and mean flow is most pronounced over the North Atlantic where stronger storm tracks enhance the mean westerlies, thus minimising the effect of changes in the oceanic heat transport.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Changes in the...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGCPT > Changes in the...
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Mirror Repositoryiconet.com.br/banon/2006/11.26.21.31
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8JMKD3MGPCW/3EUPEJL
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX.
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6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress readergroup rightsholder secondarydate session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url
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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/39RQCSH
Repositorydpi.inpe.br/plutao/2011/06.11.03.16   (restricted access)
Last Update2011:11.03.18.40.09 (UTC) administrator
Metadata Repositorydpi.inpe.br/plutao/2011/06.11.03.16.20
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Secondary KeyINPE--PRE/
DOI10.1007/s00138-011-0339-7
ISSN0932-8092
Labellattes: 4747919070495468 1 MantelliNetoAguiSantWang:2011:MuBaCo
Citation KeyMantelliNetoAguiSantWang:2012:MuBaCo
TitleMultivariate Bayesian cognitive modeling for unsupervised quality control of baked pizzas
Year2012
MonthMay
Access Date2023, Jan. 29
Secondary TypePRE PI
Number of Files1
Size591 KiB
2. Context
Author1 Mantelli Neto, Sylvio Luiz
2 Aguiar, Daniel Besen de
3 Santos, Bianca Sens dos
4 von Wangenheim, Aldo
Resume Identifier1 8JMKD3MGP5W/3C9JJ9K
Group1 CPT-CPT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 UFSC INE INCOD LEPTEN, BR-88040900 Florianopolis, SC, Brazil
3 UFSC EMC LEPTEN, BR-88040900 Florianopolis, SC, Brazil
4 UFSC INE INCOD EGC, BR-88040900 Florianopolis, SC, Brazil.
Author e-Mail Address1 sylvio@lepten.ufsc.br
e-Mail Addresssylvio@lepten.ufsc.br
JournalMachine Vision and Applications
Volume23
Number3
Pages491 - 499
Secondary MarkB3_ASTRONOMIA_/_FÍSICA
History (UTC)2011-06-11 17:43:44 :: lattes -> marciana :: 2011
2011-06-20 18:19:39 :: marciana -> valdirene :: 2011
2012-07-24 12:48:50 :: valdirene :: 2011 -> 2012
2012-07-24 12:49:12 :: valdirene -> administrator :: 2012
2018-06-05 00:01:19 :: administrator -> valdirene :: 2012
3. Content and structure
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Content Stagecompleted
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Content TypeExternal Contribution
Version Typepublisher
Keywordsbayesian modeling
multivariate statistics
geometric color space locus computer vision
sauce spread
baking
color
classification
AbstractThe present article describes aBayesianmultivariate methodology developed for unsupervised quality control of pizzas based on RGB color attributes. A sensory experiment was done to define the readiness point ground truth. During the validation phase, different pizza samples were baked at a different temperature. The cheese and crust color patterns were statistically compared against the ground truth to check the readiness point. Results show that the proposed methodology presents a good performance demonstrating that color attributes can be used as an unsupervised quality control using traditional statistical methods.
AreaMET
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Target FileMantelli Neto_ Multivariate Bayesian.pdf
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URL (untrusted data)http://www.springerlink.com/content/ep61230628814724/
DisseminationWEBSCI; PORTALCAPES; COMPENDEX.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
NotesSetores de Atividade: Pesquisa e desenvolvimento científico.
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark mirrorrepository nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder secondarydate session shorttitle sponsor subject tertiarymark tertiarytype typeofwork
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1. Identity statement
Reference TypeJournal Article
Sitemtc-m16d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP7W/3CGDESL
Repositorysid.inpe.br/mtc-m19/2012/08.24.12.21   (restricted access)
Last Update2012:08.24.12.32.29 (UTC) marciana
Metadata Repositorysid.inpe.br/mtc-m19/2012/08.24.12.21.46
Metadata Last Update2018:06.05.04.12.54 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.1016/j.atmosres.2011.10.021
ISSN0169-8095
Citation KeyTapiadorTPHGMASKHC:2012:MeDaAp
TitleGlobal precipitation measurement: Methods, datasets and applications
Year2012
MonthFeb.
Access Date2023, Jan. 29
Secondary TypePRE PI
Number of Files1
Size5458 KiB
2. Context
Author 1 Tapiador, Francisco J.
 2 Turk, F. J.
 3 Petersen, Walt
 4 Hou, Arthur Y.
 5 García-Ortega, Eduardo
 6 Machado, Luiz A. T
 7 Angelis, Carlos F.
 8 Salio, Paola
 9 Kidd, Chris
10 Huffman, George J.
11 Castro, Manuel
Group 1
 2
 3
 4
 5
 6 CPT-CPT-INPE-MCTI-GOV-BR
Affiliation 1 Department of Environmental Sciences, UCLM, Toledo, Spain
 2 Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
 3 NASA Goddard Space Flight Center (GSFC)/Wallops Flight Facility, Wallops Island, VA, United States
 4 NASA Goddard Space Flight Center (GSFC), Greenbelt, MD, United States
 5 Department of Physics, University of León, León, Spain
 6 Instituto Nacional de Pesquisas Espaciais (INPE)
 7 Centro de Monitoramento e Alertas de Desastres Naturais, CEMADEN, SP, Brazil
 8 Centro de Monitoramento e Alertas de Desastres Naturais, CEMADEN, SP, Brazil
 9
10 Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States
11 Science Systems and Applications, Inc., Lanham, MD, United States
JournalAtmospheric Research
Volume104-105
Pages70-97
Secondary MarkB1_ECOLOGIA_E_MEIO_AMBIENTE B1_ENGENHARIAS_II B1_ENGENHARIAS_III B1_GEOCIÊNCIAS A1_INTERDISCIPLINAR
History (UTC)2012-08-24 12:21:46 :: marciana -> administrator ::
2012-08-24 12:21:46 :: administrator -> marciana :: 2012
2012-08-24 12:32:29 :: marciana -> administrator :: 2012
2018-06-05 04:12:54 :: administrator -> marciana :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsData processing - Estimation - Numerical methods - Precipitation (meteorology) - Uncertainty analysis
AbstractThis paper explores the many aspects of precipitation measurement that are relevant to providing an accurate global assessment of this important environmental parameter. Methods discussed include ground data, satellite estimates and numerical models. First, the methods for measuring, estimating, and modeling precipitation are discussed. Then, the most relevant datasets gathering precipitation information from those three sources are presented. The third part of the paper illustrates a number of the many applications of those measurements and databases, namely hydropower, data assimilation and validation of Regional Climate Models (RCM). The aim of the paper is to organize the many links and feedbacks between precipitation measurement, estimation and modeling, indicating the uncertainties and limitations of each technique in order to identify areas requiring further attention, and to show the limits within which datasets can be used. Special emphasis is put on the central role of the upcoming Global Precipitation Measurement (GPM) mission in precipitation science.
AreaMET
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Mirror Repositorysid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
Next Higher Units8JMKD3MGPCW/3EUPEJL
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Host Collectionsid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress electronicmailaddress format isbn label lineage mark nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder secondarydate session shorttitle sponsor subject targetfile tertiarymark tertiarytype typeofwork url
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1. Identity statement
Reference TypeJournal Article
Sitemtc-m16d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP7W/3CDQ6CL
Repositorysid.inpe.br/mtc-m19/2012/08.08.11.54
Last Update2012:08.17.18.35.52 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m19/2012/08.08.11.54.43
Metadata Last Update2021:02.12.13.48.15 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.1175/JAMC-D-11-041.1
ISSN1558-8432
1558-8424
Citation KeyTapiadorTSAMMRH:2012:CoPeIn
TitleA Comparison of Perturbed Initial Conditions and Multiphysics Ensembles in a Severe Weather Episode in Spain
Year2012
MonthMar.
Access Date2023, Jan. 29
Secondary TypePRE PI
Number of Files1
Size7210 KiB
2. Context
Author1 Tapiador, Francisco J.
2 Tao, Wei-Kuo
3 Shi, Jainn Jong
4 Angelis, Carlos F.
5 Martinez, Miguel A.
6 Marcos, Cecilia
7 Rodriguez, Antonio
8 Hou, Arthur
Group1
2
3
4 CPT-CPT-INPE-MCTI-GOV-BR
Affiliation1 Univ Castilla La Mancha, Inst Environm Sci, Dept Environm Sci, Toledo 45071, Spain
2 NASA, Goddard Space Flight Ctr, Atmospheres Lab, Greenbelt, MD 20771 USA.
3 NASA, Goddard Space Flight Ctr, Atmospheres Lab, Greenbelt, MD 20771 USA
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Agencia Estatal Meteorol, Madrid, Spain.
6 Agencia Estatal Meteorol, Madrid, Spain.
7 Agencia Estatal Meteorol, Madrid, Spain.
8 NASA, Goddard Space Flight Ctr, Goddard Modeling Assimilat Off, Greenbelt, MD 20771 USA
JournalJournal of Applied Meteorology and Climatology
Volume51
Number3
Pages489- 504
Secondary MarkB1_ASTRONOMIA_/_FÍSICA A1_CIÊNCIAS_BIOLÓGICAS_I A1_ECOLOGIA_E_MEIO_AMBIENTE A1_ENGENHARIAS_I A1_GEOCIÊNCIAS A1_INTERDISCIPLINAR
History (UTC)2013-03-08 17:26:46 :: marciana -> administrator :: 2012
2021-02-12 13:48:15 :: administrator -> marciana :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsbrightness temperature
bulk parameterization
convective clouds
model physics
part I
precipitation
stratiform
sensitivity
rainfall
simulations
AbstractEnsembles of numerical model forecasts are of interest to operational early warning forecasters as the spread of the ensemble provides an indication of the uncertainty of the alerts, and the mean value is deemed to outperform the forecasts of the individual models. This paper explores two ensembles on a severe weather episode in Spain, aiming to ascertain the relative usefulness of each one. One ensemble uses sensible choices of physical parameterizations (precipitation microphysics, land surface physics, and cumulus physics) while the other follows a perturbed initial conditions approach. The results show that, depending on the parameterizations, large differences can be expected in terms of storm location, spatial structure of the precipitation field, and rain intensity. It is also found that the spread of the perturbed initial conditions ensemble is smaller than the dispersion due to physical parameterizations. This confirms that in severe weather situations operational forecasts should address moist physics deficiencies to realize the full benefits of the ensemble approach, in addition to optimizing initial conditions. The results also provide insights into differences in simulations arising from ensembles of weather models using several combinations of different physical parameterizations.
AreaSRE
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data URLhttp://urlib.net/ibi/8JMKD3MGP7W/3CDQ6CL
zipped data URLhttp://urlib.net/zip/8JMKD3MGP7W/3CDQ6CL
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Mirror Repositorysid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
Next Higher Units8JMKD3MGPCW/3EUPEJL
DisseminationWEBSCI; PORTALCAPES.
Host Collectionsid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress electronicmailaddress format isbn label lineage mark nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder secondarydate session shorttitle sponsor subject targetfile tertiarymark tertiarytype typeofwork url
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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/3C63RTE
Repositorydpi.inpe.br/plutao/2012/06.21.19.41
Last Update2012:08.23.14.32.52 (UTC) administrator
Metadata Repositorydpi.inpe.br/plutao/2012/06.21.19.41.19
Metadata Last Update2021:03.06.19.29.25 (UTC) administrator
DOI10.1007/s10584-012-0461-1
ISSN0165-0009
Labellattes: 5719239270509869 5 TorresLapMarLomOrs:2012:SoHoBr
Citation KeyTorresLapoLombMare:2012:SoHoBr
TitleSocio-climatic hotspots in Brazil
Year2012
MonthNov.
Access Date2023, Jan. 29
Secondary TypePRE PI
Number of Files1
Size347 KiB
2. Context
Author1 Torres, Roger Rodrigues
2 Lapola, David M.
3 Lombardo, Magda A.
4 Marengo, Jose Antonio Orsini
Group1 CPT-CPT-INPE-MCTI-GOV-BR
2
3
4 CST-CST-SPG-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Earth System Science Lab (LabTerra), Departament of Ecology, São Paulo State University (UNESP), Rio Claro, SP, Brazil
3 Center for Environmental Planning and Analysis (CEAPLA), São Paulo State University (UNESP), Rio Claro, SP, Brazil
4 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 roger.torres@cptec.inpe.br
2
3
4 jose.marengo@inpe.br
e-Mail Addressjose.marengo@inpe.br
JournalClimatic Change
Volume115
Number3-4
Pages597-609
Secondary MarkB1_ASTRONOMIA_/_FÍSICA A1_CIÊNCIAS_BIOLÓGICAS_I A1_ECOLOGIA_E_MEIO_AMBIENTE A1_ENGENHARIAS_I A1_GEOCIÊNCIAS A1_INTERDISCIPLINAR
History (UTC)2012-06-22 00:11:00 :: lattes -> administrator :: 2012
2012-07-26 21:58:49 :: administrator -> secretaria.cpa@dir.inpe.br :: 2012
2013-01-21 10:28:55 :: secretaria.cpa@dir.inpe.br -> administrator :: 2012
2021-03-06 19:29:25 :: administrator -> marciana :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typefinaldraft
KeywordsClimate change
Climate models
AbstractBrazil suffers yearly from extreme weather and climate events, which can be exacerbated in a warmer climate. Although several studies have analyzed the projections of climate change in Brazil, little attention has been paid to defining the locations that can be most affected, and consequently have a more vulnerable population, in a spatially-explicit form. This study presents a spatial analysis of summarized climate change data and a joint investigation combining these possible climate changes and social vulnerability indicators in Brazil. The Regional Climate Change Index (RCCI), which can synthesize a large number of climate model projections, is used for the climate analysis, and the Socio-Climatic Vulnerability Index (SCVI) is proposed to aggregate local population vulnerabilities to the climate change information. The RCCI results show climatic hotspots emerging in Brazil, covering the western portion of the Northeast (NE), northwestern Minas Gerais state and centerwestern (CW) and northern regions (N), except northeast Pará and Amapá states. The SCVI analysis reveals major socio-climatic hotspots in the NE and several localized hotspots in some of the major Brazilian metropolitan regions, namely Manaus, Belo Horizonte, Brasília, Salvador, Rio de Janeiro and São Paulo. The two novelties of this study are a spatially detailed analysis of the RCCI in Brazil and the development of an index that can summarize the large amount of climate model information available today with social vulnerability indicators. Both indices may be important tools for improving the dialogue between climate and social scientists and for communicating climate change to policymakers in a more synthetic and socially relevant form.
AreaCST
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Next Higher Units8JMKD3MGPCW/3EUPEJL
8JMKD3MGPCW/449U4PL
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url
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