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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/3C63UUL
Repositorydpi.inpe.br/plutao/2012/06.21.20.18   (restricted access)
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Metadata Repositorydpi.inpe.br/plutao/2012/06.21.20.18.48
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DOI10.1002/met.1324
ISSN1350-4827
Labellattes: 9873289111461387 4 CoelhoCCFILSNMP:2012:ClDiTh
Citation KeyCoelhoCCFILSNOP:2012:ClDiTh
TitleClimate diagnostics of three major drought events in the Amazon and illustrations of their seasonal precipitation predictions
ProjectCNPq 306664/2010-0
Year2012
MonthJune
Access Date2023, Jan. 31
Secondary TypePRE PI
Number of Files1
Size2381 KiB
2. Context
Author 1 Coelho, Caio A. S.
 2 Cavalcanti, Iracema A. F.
 3 Costa, Simone M. S.
 4 Freitas, Saulo Ribeiro de
 5 Ito, Ester Regina Kazuko
 6 Luz, Giovana
 7 Santos, Ariane F.
 8 Nobre, Carlos A.
 9 Orsini, Jose Antonio Marengo
10 Pezza, Alexandre B.
Resume Identifier 1
 2
 3
 4 8JMKD3MGP5W/3C9JJ7M
 5
 6
 7
 8
 9 8JMKD3MGP5W/3C9JHG3
Group 1 DOP-CPT-INPE-MCTI-GOV-BR
 2 DMD-CPT-INPE-MCTI-GOV-BR
 3 DSA-CPT-INPE-MCTI-GOV-BR
 4 DMD-CPT-INPE-MCTI-GOV-BR
 5 CPT-CPT-INPE-MCTI-GOV-BR
 6 CPT-CPT-INPE-MCTI-GOV-BR
 7
 8 CST-CST-INPE-MCTI-GOV-BR
 9 CST-CST-INPE-MCTI-GOV-BR
Affiliation 1 Instituto Nacional de Pesquisas Espaciais (INPE)
 2 Instituto Nacional de Pesquisas Espaciais (INPE)
 3 Instituto Nacional de Pesquisas Espaciais (INPE)
 4 Instituto Nacional de Pesquisas Espaciais (INPE)
 5 Instituto Nacional de Pesquisas Espaciais (INPE)
 6 Instituto Nacional de Pesquisas Espaciais (INPE)
 7
 8 Instituto Nacional de Pesquisas Espaciais (INPE)
 9 Instituto Nacional de Pesquisas Espaciais (INPE)
10 School of Earth Sciences, The University of Melbourne, Victoria, Australia
Author e-Mail Address 1
 2
 3
 4 saulo.freitas@cptec.inpe.br
 5
 6
 7
 8
 9 jose.marengo@inpe.br
e-Mail Addresssaulo.freitas@cptec.inpe.br
JournalMeteorological Applications
Volume19
Number2
Pages237-255
Secondary MarkB2_CIÊNCIAS_AGRÁRIAS_I B2_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA
History (UTC)2012-06-22 00:11:00 :: lattes -> administrator :: 2012
2012-07-03 17:41:11 :: administrator -> secretaria.cpa@dir.inpe.br :: 2012
2012-07-17 13:22:33 :: secretaria.cpa@dir.inpe.br -> administrator :: 2012
2021-01-03 02:11:04 :: administrator -> marciana :: 2012
3. Content and structure
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Version Typepublisher
Keywordsamazon droughts
monsoon precipitation regime
extreme river levels
teleconnections
aerosol
seasonal prediction aerosol
smoke
clouds
predictability
microphysics
cloudiness
atmosphere
rainfall
system
teleconnections
aerosol
seasonal prediction
AbstractABSTRACT: The Amazon has a well-defined wet austral summer monsoon and dry winter monsoon precipitation regime and experienced a sequence of drought events in the last 13 years. This study performs a comparative assessment of observed and predicted climate conditions during the three most recent drought events in the Amazon, in 19971998, 20042005 and 20092010, with emphasis on how these events affected the regional monsoon-like precipitation regime. A century long Negro River level time series at Manaus is investigated, applying extreme values theory for estimating return periods of these major drought events. Possible teleconnections of river levels at Manaus and sea surface temperature at remote regions are explored. Large scale oceanic and atmospheric conditions are investigated to highlight the mechanisms associated with the observed drought conditions, particularly during the dry monsoon season. Satellite estimates are used for diagnosing biomass burning aerosol and discuss possible contributions to the observed precipitation deficits in the 2005 and 2010 drought events during the dry monsoon season. The study is concluded with an analysis of the performance of seasonal precipitation predictions for the dry monsoon seasons of July to September 1998, 2005 and 2010 produced with the operational seasonal prediction system used at the Center for Weather Forecasts and Climate Studies (CPTEC) of the Brazilian National Institute for Space Research (INPE). This system was capable of producing 1 month in advance drought warning for the three investigated events, relevant for helping the government and local population make decisions for reducing drought impacts in the Amazon region. Copyright ÆÉ 2012 Royal Meteorological Society.
AreaMET
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGCPT > Climate diagnostics of...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCST > Climate diagnostics of...
Arrangement 3urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > Climate diagnostics of...
Arrangement 4urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDOP > Climate diagnostics of...
Arrangement 5urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSA > Climate diagnostics of...
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6. Notes
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1. Identity statement
Reference TypeJournal Article
Sitemtc-m16d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP7W/3C8ARG8
Repositorysid.inpe.br/mtc-m19/2012/07.05.17.07   (restricted access)
Last Update2012:07.05.17.08.58 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m19/2012/07.05.17.07.25
Metadata Last Update2021:01.02.22.17.25 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.1002/asl.385
ISSN1530-261X
Citation KeyDolifNobr:2012:ArSyPa
TitleImproving extreme precipitation forecasts in Rio de Janeiro, Brazil: are synoptic patterns efficient for distinguishing ordinary from heavy rainfall episodes?
Year2012
Monthmay
Access Date2023, Jan. 31
Secondary TypePRE PI
Number of Files1
Size203 KiB
2. Context
Author1 Dolif, Giovanni
2 Nobre, Carlos Afonso
Resume Identifier1
2 8JMKD3MGP5W/3C9JGQ7
Group1 DOP-CPT-INPE-MCTI-GOV-BR
2 CST-CST-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 giovanni.dolif@cptec.inpe.br
JournalAtmospheric Science Letters
Volume*
Secondary MarkB3_ENGENHARIAS_I B3_GEOCIÊNCIAS
History (UTC)2012-07-05 17:07:25 :: valdirene -> administrator ::
2012-07-05 17:07:25 :: administrator -> valdirene :: 2012
2012-07-05 17:08:58 :: valdirene -> administrator :: 2012
2021-01-02 22:17:25 :: administrator -> valdirene :: 2012
3. Content and structure
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Keywordsheavy rainfall forecast
Rio de Janeiro
artificial neural network
adaptive resonance theory
AbstractThis work analysed heavy rainfall events and their predictability on Rio de Janeiro, Brazil, using rain gauge data from 2000 to 2010, atmospheric model outputs, and an artificial neural network based on adaptive resonance theory. The latter was applied on top of atmospheric simulations for 2009 and 2010, and we were able to predict 55% of the heavy rainfall events using a combination of relative humidity at 900 hPa and meridional winds at 10 m for a domain covering central and southern Brazil, which represents a relative gain of 67% on predictability when compared to the model predicted rainfall. Copyright © 2012 Royal Meteorological Society.
AreaMET
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCST > Improving extreme precipitation...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDOP > Improving extreme precipitation...
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Mirror Repositorysid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
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8JMKD3MGPCW/43SQKNE
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6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes number orcid pages parameterlist parentrepositories previousedition previouslowerunit progress project 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/3D547D5
Repositorydpi.inpe.br/plutao/2012/11.28.19.35
Last Update2013:02.07.16.37.36 (UTC) administrator
Metadata Repositorydpi.inpe.br/plutao/2012/11.28.19.35.08
Metadata Last Update2021:01.02.22.16.44 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.1029/2011JD017259
ISSN0148-0227
2156-2202
Labellattes: 3214369697732376 5 FunatsuDubClaArvGan:2012:CoAMTR
Citation KeyFunatsuDubClaArvGan:2012:CoAMTR
TitleConvective activity in Mato Grosso State (Brazil) from microwave satellite observations: Comparisons between AMSU and TRMM datasets
Year2012
MonthAug.
Access Date2023, Jan. 31
Secondary TypePRE PI
Number of Files1
Size1057 KiB
2. Context
Author1 Funatsu, Beatriz Miky
2 Dubreuil, Vincent
3 Claud, Chantal
4 Arvor, Damien
5 Gan, Manoel Alonso
Resume Identifier1
2
3
4
5 8JMKD3MGP5W/3C9JHNM
Group1
2
3
4
5 DOP-CPT-INPE-MCTI-GOV-BR
Affiliation1 Laboratoire Atmosphères, Milieux, Observations Spatiales, CNRS, UMR 8190, IPSL, OVSQ, Guyancourt, France / Laboratoire COSTEL, UMR 6554, LETG, Université Rennes 2
2 Laboratoire COSTEL, UMR 6554, LETG, Université Rennes 2
3 Laboratoire de Météorologie Dynamique, CNRS, UMR 8539, Ecole Polytechnique, Palaiseau, France
4
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 funatsu@latmos.ipsl.fr
2
3
4
5 manoel.gan@cptec.inpe.br
e-Mail Addressmanoel.gan@cptec.inpe.br
JournalJournal of Geophysical Research
Volume117
PagesD16109
Secondary MarkB1_ASTRONOMIA_/_FÍSICA B2_CIÊNCIA_DA_COMPUTAÇÃO A1_CIÊNCIAS_AGRÁRIAS_I A1_ECOLOGIA_E_MEIO_AMBIENTE A1_ENGENHARIAS_I A2_ENGENHARIAS_II A1_ENGENHARIAS_III A2_ENGENHARIAS_IV A1_GEOCIÊNCIAS A1_INTERDISCIPLINAR
History (UTC)2012-11-28 23:06:36 :: lattes -> administrator :: 2012
2012-11-29 06:11:05 :: administrator -> marciana :: 2012
2012-12-11 16:26:48 :: marciana -> administrator :: 2012
2013-01-20 15:55:38 :: administrator -> marciana :: 2012
2013-02-07 16:37:37 :: marciana -> administrator :: 2012
2021-01-02 22:16:44 :: administrator -> marciana :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsciclo diurno
precipitação
convecção
AbstractWe present a characterization of convective activity at sub-regional scale from two sets of satellite-based microwave observations: the Advanced Microwave Sounding Unit (AMSU) and the combined Tropical Rainfall Measuring Mission (TRMM) microwave imager and precipitation radar data, for the period 2001 to 2011. We focus on the state of Mato Grosso, Brazil, located at the southern edge of the so-called "Legal Amazon" which has undergone intense land cover transformation in the last 4 decades. The annual cycle of mean convective activity described by AMSU and TRMM are in good agreement, with a correlation close to 0.80. The mean amplitude of convective activity is maximal early in the rainy season, except for AMSU deep convective area, which presents a maximum in January. The diurnal cycle of convection was examined for the period 2003 to 2007, and it was found that convection is maximal near 1500 local time (LT) and minimal around 0700 LT. Unlike the amplitude, the phase shows little intraseasonal and interannual variability. A slight decrease in convective activity in the studied period was found, possibly indicating an extension of the dry season. Comparisons of convective activity between deforested and forested areas showed no significant differences in the phase of the diurnal cycle, but our analysis shows a tendency for increase (decrease) in convection in deforested (forested) areas for the period considered. A longer time series is however necessary in order to strengthen the robustness of our results.
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDOP > Convective activity in...
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6. Notes
NotesSetores de Atividade: Pesquisa e desenvolvimento científico.
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark mirrorrepository nextedition number orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission 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/3D53DNB
Repositorydpi.inpe.br/plutao/2012/11.28.15.24
Last Update2015:03.16.18.36.02 (UTC) administrator
Metadata Repositorydpi.inpe.br/plutao/2012/11.28.15.24.47
Metadata Last Update2021:01.02.22.16.43 (UTC) administrator
ISSN0003-0007
Labellattes: 4978912302419377 2 PezzaCoel:2012:AtInCo
Citation KeyPezzaCoel:2012:AtInCo
TitleThe Atlantic Intertropical Convergence Zone, in State of Climate in 2011
Year2012
Access Date2023, Jan. 31
Secondary TypePRE PI
Number of Files1
Size756 KiB
2. Context
Author1 Pezza, Alexandre Bernardes
2 Coelho, Caio Augusto dos Santos
Group1
2 DOP-CPT-INPE-MCTI-GOV-BR
Affiliation1
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1
2 caio@cptec.inpe.br
e-Mail Addresscaio@cptec.inpe.br
JournalBulletin of the American Meteorological Society
Volume93
Number7
PagesS118
Secondary MarkA1_GEOCIÊNCIAS B4_GEOGRAFIA A1_INTERDISCIPLINAR
History (UTC)2012-11-28 23:06:26 :: lattes -> administrator :: 2012
2021-01-02 22:16:43 :: administrator -> marciana :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
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Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDOP > The Atlantic Intertropical...
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4. Conditions of access and use
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Next Higher Units8JMKD3MGPCW/43SQKNE
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsabstract alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel doi format isbn keywords lineage mark mirrorrepository month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission resumeid rightsholder secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url versiontype
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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/3D53ND7
Repositorydpi.inpe.br/plutao/2012/11.28.17.09.14
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Metadata Repositorydpi.inpe.br/plutao/2012/11.28.17.09.15
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Secondary KeyINPE--PRE/
ISSN0187-6236
Labellattes: 0648767431075703 3 RamosCoMoFrSiLu:2012:NuSiHe
Citation KeyRamosCoMoFrSiLu:2012:NuSiHe
TitleNumerical simulation of a heavy rainfall event over Portugal using mesoscale model
Year2012
Access Date2023, Jan. 31
Secondary TypePRE PI
Number of Files1
Size2760 KiB
2. Context
Author1 Ramos, A. M.
2 Conde, F C
3 Moreira, Demerval Soares
4 Freitas, Saulo Ribeiro de
5 Silva, A. M.
6 Lucas, E W M
Resume Identifier1
2
3
4 8JMKD3MGP5W/3C9JJ7M
Group1
2
3 DOP-CPT-INPE-MCTI-GOV-BR
4 DMD-CPT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Meteorologia (INMET)
2 University of Évora
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 University of Évora
6 Instituto Nacional de Meteorologia (INMET)
Author e-Mail Address1 andrea.ramos@inmet.gov.br
2
3 demerval.moreira@cptec.inpe.br
4 saulo.freitas@cptec.inpe.br
e-Mail Addressdemerval.moreira@cptec.inpe.br
JournalAtmósfera
Volume25
Number3
Pages295-309
Secondary MarkB2_ECOLOGIA_E_MEIO_AMBIENTE B2_GEOCIÊNCIAS
History (UTC)2012-11-28 23:06:31 :: lattes -> marciana :: 2012
2012-12-12 18:17:16 :: marciana -> administrator :: 2012
2013-01-30 12:43:25 :: administrator -> marciana :: 2012
2013-01-30 12:44:44 :: marciana -> administrator :: 2012
2013-01-30 12:45:25 :: administrator -> marciana :: 2012
2013-02-06 13:00:57 :: marciana -> administrator :: 2012
2021-01-02 22:16:44 :: administrator -> marciana :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsAtmospheric modelling
strong rainfall
synoptic analysis
depression
AbstractLos eventos fuertes de precipitación incuestionablemente tienen, de entre todos los fenómenos atmosféricos, los mayores impactos económicos y sociales. El propósito de este trabajo es simular las condiciones climáticas asociadas con el episodio de precipitación fuerte que ocurrió entre el 11 y el 13 de marzo de 2002 y que generó lluvia intensa así como granizo y nieve en las regiones central y norte de Portugal continental. La simulación se llevó a cabo utilizando el sistema de modelación atmosférica regional (Regional Atmospheric Modelling System, RAMS) con redes de configuración de 48 y 12 km y una resolución máxima de 3 km para capturar los patrones de circulación sinópticos y de mesoescala. Las condiciones iniciales y laterales de frontera necesarias para ejecutar el RAMS se obtuvieron de los modelos globales de pronóstico del centro brasileño de predicción del tiempo y estudios climáticos (Centro de Previsão de Tempo e Estudos Climáticos, CPTEC) en la forma de coeficientes espectrales con triangulación truncada T62 equivalente a 1.825º de resolución en las direcciones meridional y zonal. Los resultados del modelo muestran que el RAMS es un marco útil para describir los patrones de lluvia de la región, reproduciendo razonablemente bien el área sin precipitación dentro del dominio; sin embargo el modelo sobreestima o subestima los valores observados en diferentes periodos. La distribución espacial de la precipitación total acumulada mostró una tendencia a predecir mayor precipitación sobre los lugares elevados, probablemente por la influencia del forzamiento dinámico y la asociación con procesos microfísicos. ABSTRACT: Strong rainfall events have unquestionably one of the largest economic and social impacts of any atmospheric phenomena. The purpose of this paper is to simulate the weather conditions associated with the heavy precipitation episode during 11-13 March 2002, which generated intense rainfall as well as hail and snow in the central and northern regions of Continental Portugal. The simulation was carried out using the Regional Atmospheric Modeling System (RAMS), through a three nested grids configuration 48 km, 12 km and the highest resolution being 3 km, to capture the synoptic and mesoscale circulation patterns. The initial and lateral boundary conditions necessary to drive RAMS were taken from the Brazilian Center of Weather Prediction and Climate Studies (CPTEC) global model forecasts in the form of spectral coefficients with T62 triangular truncation equivalent to 1.825 degrees resolution in the meridional and zonal directions. The model results show that the RAMS model is a useful framework to describe the rainfall patterns over the region, reproducing the area without rainfall within the domain reasonably well, although the model overestimated or underestimated the observed values at different periods. The spatial distribution of the total accumulated rainfall showed some tendency to predict more precipitation over higher elevations, probably influenced by dynamical forcing and associated microphysical processes.
AreaMET
ArrangementNumerical simulation of...
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Next Higher Units8JMKD3MGPCW/43SKC35
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URL (untrusted data)http://www.journals.unam.mx/index.php/atm/article/view/32411
DisseminationWEBSCI; PORTALCAPES; SCIELO.
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6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel doi format isbn lineage mark mirrorrepository month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder secondarydate session shorttitle sponsor subject tertiarymark tertiarytype typeofwork
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