Resultado da Pesquisa
A expressão de busca foi <secondaryty pi and firstg CST-CST-INPE-MCTI-GOV-BR and y 2013 and dissemination websci>.
30 referências foram encontradas buscando em 17 dentre 17 Arquivos
(este total pode incluir algumas duplicatas - para ver a conta certa clique no botão Mostrar Todas).
As 10 mais recentes estão listadas abaixo.
Data e hora local de busca: 07/02/2023 14:34.

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentificadorJ8LNKAN8RW/3E7UPD7
Repositóriodpi.inpe.br/plutao/2013/05.31.19.05.47   (acesso restrito)
Última Atualização2013:07.04.11.55.22 (UTC) administrator
Repositório de Metadadosdpi.inpe.br/plutao/2013/05.31.19.05.48
Última Atualização dos Metadados2021:07.18.04.03.23 (UTC) administrator
DOI10.1016/j.jastp.2013.03.010
ISSN1364-6826
Rótulolattes: 1203925839668554 3 PintoNetoPintPint:2013:ReThSo
Chave de CitaçãoPintoNetoPintPint:2013:ReThSo
TítuloThe relationship between thunderstorm and solar activity for Brazil from 1951 to 2009
Ano2013
MêsJune
Data de Acesso07 fev. 2023
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1441 KiB
2. Contextualização
Autor1 Pinto Neto, Osmar
2 Pinto, Iara Regina Cardoso de Almeida
3 Pinto, Osmar
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JHD4
Grupo1
2 CST-CST-INPE-MCTI-GOV-BR
3 CST-CST-INPE-MCTI-GOV-BR
Afiliação1 Camilo Castelo Branco University (Unicastelo), São Jose dos Campos, Brazil
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 osmarpintoneto@hotmail.com
2 iara@dge.inpe.br
3 osmar@dge.inpe.br
Endereço de e-Mailosmar@dge.inpe.br
RevistaJournal of Atmospheric and Solar-Terrestrial Physics
Volume98
Páginas12-21
Nota SecundáriaA1 B1 B1 B1 B1 B2 C
Histórico (UTC)2013-05-31 19:05:48 :: lattes -> administrator ::
2021-07-18 04:03:23 :: administrator -> marcelo.pazos@inpe.br :: 2013
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chavethunderstorm
solar activity
wavelets
solar cycle
solar magnetism
galactic cosmic rays
ResumoThe goal of this article is to investigate the influence of solar activity on thunderstorm activity in Brazil. For this purpose, thunder day data from seven cities in Brazil from 1951 to 2009 are analyzed with the wavelet method for the first time. To identify the 11-year solar cycle in thunder day data, a new quantity is defined. It is named TD1 and represents the power in 1-year in a wavelet spectrum of monthly thunder day data. The wavelet analysis of TD1 values shows more clear the 11-year periodicity than when it is applied directly to annual thunder day data, as it has been normally investigated in the literature. The use of this new quantity is shown to enhance the capability to identify the 11-year periodicity in thunderstorm data. Wavelet analysis of TD1 indicates that six out seven cities investigated exhibit periodicities near 11 years, three of them significant at a 1% significance level (p<0.01). Furthermore, wavelet coherence analysis demonstrated that the 11-year periodicity of TD1 and solar activity are correlated with an anti-phase behavior, three of them (the same cities with periodicities with 1% significance level) significant at a 5% significance level (p<0.05). The results are compared with those obtained from the same data set but using annual thunder day data. Finally, the results are compared with previous results obtained for other regions and a discussion about possible mechanisms to explain them is done. The existence of periodicities around 11 years in six out of seven cities and their anti-phase behavior with respect to 11-year solar cycle suggest a global mechanism probably related to a solar magnetic shielding effect acting on galactic cosmic rays as an explanation for the relationship of thunderstorm and solar activity, although more studies are necessary to clarify its physical origin.
ÁreaCEA
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4. Condições de acesso e uso
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Arquivo Alvo1-s2.0-S1364682613000862-main.pdf
Grupo de Usuáriosadministrator
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Política de Arquivamentodenypublisher denyfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
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5. Fontes relacionadas
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3T29H
URL (dados não confiáveis)http://dx.doi.org/10.1016/j.jastp.2013.03.010
DivulgaçãoWEBSCI; PORTALCAPES; AGU; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype
7. Controle da descrição
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m16d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP7W/3ECUP5B
Repositóriosid.inpe.br/mtc-m19/2013/07.01.13.09
Última Atualização2013:07.01.13.38.57 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m19/2013/07.01.13.09.11
Última Atualização dos Metadados2021:03.06.05.21.58 (UTC) administrator
ISSN0992-7689
Rótuloself-archiving-INPE-MCTI-GOV-BR
Chave de CitaçãoPintoJrNaccPint:2013:ThInSo
TítuloThunderstorm incidence in Southeastern Brazil estimated from different data sources
Ano2013
Data de Acesso07 fev. 2023
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1222 KiB
2. Contextualização
Autor1 Pinto Junior, Osmar
2 Naccarato, Kleber Pinheiro
3 Pinto, Iara Regina Cardoso Almeida
Identificador de Curriculo1 8JMKD3MGP5W/3C9JJ2E
Grupo1 CST-CST-INPE-MCTI-GOV-BR
2 CST-CST-INPE-MCTI-GOV-BR
3 CST-CST-SPG-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 osmar@dge.inpe.br
2 kleber.naccarato@inpe.br
3 iara@dge.inpe.br
Endereço de e-Mailkleber.naccarato@inpe.br
RevistaAnnales Geophysicae
Volume31
Número7
Páginas1213-1219
Nota SecundáriaA2 A2 B1 B2 B2
Histórico (UTC)2013-07-01 13:09:11 :: kleber.naccarato@inpe.br -> administrator ::
2021-03-06 05:21:58 :: administrator -> marcelo.pazos@inpe.br :: 2013
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãofinaldraft
Palavras-Chavethunderstorm
Brazil
RINDAT
Lightning Imaging Sensor (LIS)
ResumoThis paper describes a comparative analysis of the thunderstorm incidence in Southeastern Brazil obtained from thunderstorm days observed at two different epochs (from 1910 to 1951 and from 1971 to 1984) and from lightning data provided by the Brazilian lightning location system RINDAT (from 1999 to 2006) and the Lightning Imaging Sensor (LIS) on board the TRMM satellite (from 1998 to 2010). The results are interpreted in terms of the main synoptic synoptic pattern associated with thunderstorm activity is the occurrence of frontal systems and their modulation by the South Atlantic Convergence Zone (SACZ) and topography. Evidence of urban effects is also found. The results are also discussed in the context of practical applications involving their use in the Brazilian lightning protection standards, suggesting that the present version of the Brazilian standards should be revised incorporating RINDAT and LIS data. Finally, the results are important to improve our knowledge about the limitations of the different techniques used to record the thunderstorm activity and support future climatic studies.
ÁreaCEA
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Conteúdo da Pasta docacessar
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP7W/3ECUP5B
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP7W/3ECUP5B
Idiomaen
Arquivo AlvoPaper_Pinto_IncidenceSoutheast_AG_04.pdf
Grupo de Usuárioskleber.naccarato@inpe.br
marcelo.pazos@inpe.br
Grupo de Leitoresadministrator
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Visibilidadeshown
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3T29H
8JMKD3MGPCW/449U4PL
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel doi format isbn lineage mark month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url
7. Controle da descrição
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m16d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP7W/3B5HKLP
Repositóriosid.inpe.br/mtc-m19/2012/01.04.17.32   (acesso restrito)
Última Atualização2013:08.01.16.17.27 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m19/2012/01.04.17.32.31
Última Atualização dos Metadados2021:02.25.02.58.38 (UTC) administrator
Chave SecundáriaINPE--PRE/
DOI10.1016/j.agrformet.2013.04.031
ISSN0168-1923
Rótuloself-archiving-INPE-MCTI-GOV-BR
Chave de CitaçãoRestrepo-CoupeRHABCCCCCFGKMMMMN-SSTWZS:2013:WhDrSe
TítuloWhat drives the seasonality of photosynthesis across the Amazon basin? A cross-site analysis of eddy flux tower measurements from the Brasil flux network
Ano2013
Data de Acesso07 fev. 2023
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1883 KiB
2. Contextualização
Autor 1 Restrepo-Coupe, Natalia
 2 Rocha, Humberto Ribeiro da
 3 Hutyra, Lucy R.
 4 Araujo, Alessandro C. de
 5 Borma, Laura De Simone
 6 Christoffersen, Bradley
 7 Cabral, Osvaldo Machado Rodrigues
 8 Camargo, Plinio B. de
 9 Cardoso, Fernando Luiz
10 Costa, Antonio Carlos Lola da
11 Fitzjarrald, David R.
12 Goulden, Michael L.
13 Kruijt, Bart
14 Maia, Jair M. F.
15 Malhi, Yadvinder S.
16 Manzi, Antonio Ocimar
17 Miller, Scott D.
18 Nobre, Antonio Donato
19 von-Randow, Celso
20 Sá, Leonardo Deane Abreu
21 Sakai, Ricardo K.
22 Tota, Julio
23 Wofsy, Steven C.
24 Zanchi, Fabricio B.
25 Saleska, Scott R.
Grupo 1
 2
 3
 4
 5 CST-CST-INPE-MCTI-GOV-BR
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19 CST-CST-INPE-MCTI-GOV-BR
20 CRA-CCR-INPE-MCTI-GOV-BR
Afiliação 1 Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA
 2 Department of Atmospheric Sciences, Universidade de São Paulo, São Paulo, Brazil
 3 Boston University, Department of Earth and Environment, Boston 02215, USA
 4 Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Amazonas, Brazil
 5 Instituto Nacional de Pesquisas Espaciais (INPE)
 6 Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA
 7 Embrapa Meio Ambiente, Jaguariuna, Brazil
 8 University of Technology Sydney, Sydney, NSW 2007, Australia
 9 Universidade Federal do Tocantins, Tocantins, Brazil
10 Universidade Federal do Para, Belem, Brazil
11 Atmospheric Sciences Research Center, State University of New York, Albany, NY, USA
12 Department of Earth System Science, University of California Irvine, Irvine, CA 92697, USA
13 Alterra, Wageningen University and Research Centre, Wageningen 6700, The Netherlands
14 Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Amazonas, Brazil
15 Oxford University Centre for the Environment, Oxford OX1 3QY, UK
16 Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Amazonas, Brazil
17 Atmospheric Sciences Research Center, State University of New York, Albany, NY, USA
18 Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Amazonas, Brazil
19 Instituto Nacional de Pesquisas Espaciais (INPE)
20 Instituto Nacional de Pesquisas Espaciais (INPE)
21 Atmospheric Sciences Research Center, State University of New York, Albany, NY, USA
22 Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Amazonas, Brazil
23 Division of Applied Sciences, Harvard University, Cambridge, MA 02138, USA
24 Universidade Federal do Amazonas (UFAM), Educação, Agricultura e Ambiente (IEAA), Manaus, Amazonas, Brazil
25 Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA
Endereço de e-Mailsecretaria.cpa@dir.inpe.br
RevistaAgricultural and Forest Meteorology
Volume182-183
Páginas128-144
Nota SecundáriaA1 A1 A1 A1 A1 A1 A2 A2 B2
Histórico (UTC)2012-01-06 11:08:04 :: secretaria.cpa@dir.inpe.br -> administrator :: 2011
2013-08-01 16:17:27 :: administrator :: 2011 -> 2013
2021-02-25 02:58:38 :: administrator -> marcelo.pazos@inpe.br :: 2013
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chaveclimate change
climate effect
ecosystem modeling
eddy covariance
evapotranspiration
forest ecosystem
land use change
latent heat flux
light effect
litterfall
net ecosystem production
phenology
photosynthesis
seasonality
solar radiation
tropical forest
Amazon Basin
Brazil
ResumoWe investigated the seasonal patterns of Amazonian forest photosynthetic activity, and the effects thereon of variations in climate and land-use, by integrating data from a network of ground-based eddy flux towers in Brazil established as part of the 'Large-Scale Biosphere Atmosphere Experiment in Amazonia' project. We found that degree of water limitation, as indicated by the seasonality of the ratio of sensible to latent heat flux (Bowen ratio) predicts seasonal patterns of photosynthesis. In equatorial Amazonian forests (5° N-5° S), water limitation is absent, and photosynthetic fluxes (or gross ecosystem productivity, GEP) exhibit high or increasing levels of photosynthetic activity as the dry season progresses, likely a consequence of allocation to growth of new leaves. In contrast, forests along the southern flank of the Amazon, pastures converted from forest, and mixed forest-grass savanna, exhibit dry-season declines in GEP, consistent with increasing degrees of water limitation. Although previous work showed tropical ecosystem evapotranspiration (ET) is driven by incoming radiation, GEP observations reported here surprisingly show no or negative relationships with photosynthetically active radiation (PAR). Instead, GEP fluxes largely followed the phenology of canopy photosynthetic capacity (Pc), with only deviations from this primary pattern driven by variations in PAR. Estimates of leaf flush at three non-water limited equatorial forest sites peak in the dry season, in correlation with high dry season light levels. The higher photosynthetic capacity that follows persists into the wet season, driving high GEP that is out of phase with sunlight, explaining the negative observed relationship with sunlight. Overall, these patterns suggest that at sites where water is not limiting, light interacts with adaptive mechanisms to determine photosynthetic capacity indirectly through leaf flush and litterfall seasonality. These mechanisms are poorly represented in ecosystem models, and represent an important challenge to efforts to predict tropical forest responses to climatic variations.
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvo1-s2.0-S0168192313001184-main.pdf
Grupo de Usuáriosadministrator
marcelo.pazos@inpe.br
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Grupo de Leitoresadministrator
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Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/3EUAE4H
8JMKD3MGPCW/3F3T29H
DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel electronicmailaddress format isbn lineage mark month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder secondarydate session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
e-Mail (login)marcelo.pazos@inpe.br
atualizar 

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP5W34M/3FA44T7
Repositóriosid.inpe.br/mtc-m21b/2013/11.26.16.48.32   (acesso restrito)
Última Atualização2014:02.03.11.55.17 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21b/2013/11.26.16.48.33
Última Atualização dos Metadados2021:01.02.03.53.24 (UTC) administrator
DOI10.1007/s00382-013-1919-1
ISSN0930-7575
Rótuloscopus 2013-11
Chave de CitaçãoMarengoCMSSSRLPRCCJ:2013:SiRaAn
TítuloSimulation of rainfall anomalies leading to the 2005 drought in Amazonia using the CLARIS LPB regional climate models
ProjetoCNPq (573797/2008-0); FAPESP (57719-9)
Ano2013
MêsDec.
Data de Acesso07 fev. 2023
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho2678 KiB
2. Contextualização
Autor 1 Marengo, José Antonio
 2 Chou, Sin Chan
 3 Mourao, C.
 4 Solman, S.
 5 Sanchez, E.
 6 Samuelsson, P.
 7 da Rocha, R. P.
 8 Li, L.
 9 Pessacg, N.
10 Remedio, A. R. C.
11 Carril, A. F.
12 Cavalcanti, Iracema Fonseca de Albuquerque
13 Jacob, D.
Identificador de Curriculo 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12 8JMKD3MGP5W/3C9JHDE
Grupo 1 CST-CST-INPE-MCTI-GOV-BR
 2 DMD-CPT-INPE-MCTI-GOV-BR
 3
 4
 5
 6
 7
 8
 9
10
11
12 CPT-CPT-INPE-MCTI-GOV-BR
Afiliação 1 Instituto Nacional de Pesquisas Espaciais (INPE)
 2 Instituto Nacional de Pesquisas Espaciais (INPE)
 3 Centro de Ciência do Sistema Terrestre, Instituto Nacional de Pesquisas Espaciais (CCST INPE), Rodovia Dutra km, 40, Cachoeira Paulista, 12630-000, Brazil
 4 Centro de Investigaciones del Mar y la Atmósfera (CIMA), CONICET-UBA, Buenos Aires, Argentina; Departamento de Ciencias de la Atmósfera y los Océanos (DCAO), FCEN, Universidad de Buenos Aires, Buenos Aires, Argentina; UMI IFAECI/CNRS, Buenos Aires, Argentina
 5 Facultad Ciencias Ambientales y Bioquimica, Universidad de Castilla-La Mancha, Toledo, Spain
 6 Rossby Centre, SMHI, Norrköping, 601 76, Sweden
 7 Departamento de Ciencias Atmosfericas, Instituto de Astronomia, Geofisica e Ciencias Atmosfericas, Universidade de São Paulo, São Paulo, Brazil
 8 Laboratoire de Météorologie Dynamique, IPSL, CNRS/UPMC, Paris, France
 9 Centro Nacional Patagónico (CENPAT/CONICET), Puerto Madryn, U9120ACF, Argentina
10 Max Planck Institute for Meteorology, Hamburg, 20146, Germany
11 Centro de Investigaciones del Mar y la Atmósfera (CIMA), CONICET-UBA, Buenos Aires, Argentina; Departamento de Ciencias de la Atmósfera y los Océanos (DCAO), FCEN, Universidad de Buenos Aires, Buenos Aires, Argentina; UMI IFAECI/CNRS, Buenos Aires, Argentina
12 Instituto Nacional de Pesquisas Espaciais (INPE)
13 Max Planck Institute for Meteorology, Hamburg, 20146, Germany; Climate Services Center (CSC), Hamburg, Germany
Endereço de e-Mail do Autor 1 jose.marengo@inpe.br
 2 chou@cptec.inpe.br
 3
 4
 5
 6
 7
 8
 9
10
11
12 iracema@cptec.inpe.br
Endereço de e-Mailmarcelo.pazos@inpe.br
RevistaClimate Dynamics
Volume41
Número11-12
Páginas2937-2955
Nota SecundáriaA1 A1 A1 A1 A1 A1 A2
Histórico (UTC)2021-01-02 03:53:24 :: administrator -> marcelo.pazos@inpe.br :: 2013
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chaverainfall
drought
Amazonia
ResumoThe meteorological characteristics of the drought of 2005 in Amazonia, one of the most severe in the last 100 years were assessed using a suite of seven regional models obtained from the CLARIS LPB project. The models were forced with the ERA-Interim reanalyses as boundary conditions. We used a combination of rainfall and temperature observations and the low-level circulation and evaporation fields from the reanalyses to determine the climatic and meteorological characteristics of this particular drought. The models reproduce in some degree the observed annual cycle of precipitation and the geographical distribution of negative rainfall anomalies during the summer months of 2005. With respect to the evolution of rainfall during 2004-2006, some of the models were able to simulate the negative rainfall departures during early summer of 2005 (December 2004 to February 2005). The interannual variability of rainfall anomalies for both austral summer and fall over northern and southern Amazonia show a large spread among models, with some of them capable of reproducing the 2005 observed negative rainfall departures (four out of seven models in southern Amazonia during DJF). In comparison, all models simulated the observed southern Amazonia negative rainfall and positive air temperature anomalies during the El Nino-related drought in 1998. The spatial structure of the simulated rainfall and temperature anomalies in DJF and MAM 2005 shows biases that are different among models. While some models simulated the observed negative rainfall anomalies over parts of western and southern Amazonia during DJF, others simulated positive rainfall departures over central Amazonia. The simulated circulation patterns indicate a weaker northeasterly flow from the tropical North Atlantic into Amazonia, and reduced flows from southern Amazonia into the La Plata basin in DJF, which is consistent with observations. In general, we can say that in some degree the regional models are able to capture the response to the forcing from the tropical Atlantic during the drought of 2005 in Amazonia. Moreover, extreme climatic conditions in response to anomalous low-level circulation features are also well captured, since the boundary conditions come from reanalysis and the models are largely constrained by the information provided at the boundaries. The analysis of the 2005 drought suggests that when the forcing leading to extreme anomalous conditions is associated with both local and non-local mechanisms (soil moisture feedbacks and remote SST anomalies, respectively) the models are not fully capable of representing these feedbacks and hence, the associated anomalies. The reason may be a deficient reproduction of the land-atmosphere interactions. © 2013 Springer-Verlag Berlin Heidelberg.
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Idiomaen
Arquivo AlvoMarengo_Simulation of rainfall.pdf
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Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/3EUPEJL
8JMKD3MGPCW/3F3T29H
8JMKD3MGPCW/43SKC35
DivulgaçãoWEBSCI; PORTALCAPES; AGU; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress rightsholder secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP5W34M/3F98EBS
Repositóriosid.inpe.br/mtc-m21b/2013/11.21.12.58
Última Atualização2013:11.21.12.58.46 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21b/2013/11.21.12.58.46
Última Atualização dos Metadados2021:01.02.03.53.21 (UTC) administrator
DOI10.5194/acp-13-7961-2013
ISSN1680-7316
Chave de CitaçãoBeckGKBLFKPBH:2013:EvMeMo
TítuloWRF-Chem simulations in the Amazon region during wet and dry season transitions: Evaluation of methane models and wetland inundation maps
Ano2013
Data de Acesso07 fev. 2023
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho8603 KiB
2. Contextualização
Autor 1 Beck, V.
 2 Gerbig, C.
 3 Koch, T.
 4 Bela, Megan M.
 5 Longo, Karla Maria
 6 Freitas, Saulo Ribeiro de
 7 Kaplan, J. O.
 8 Prigent, C.
 9 Bergamaschi, P.
10 Heimann, M.
Identificador de Curriculo 1
 2
 3
 4
 5 8JMKD3MGP5W/3C9JHKQ
 6 8JMKD3MGP5W/3C9JJ7M
Grupo 1
 2
 3
 4 CST-CST-INPE-MCTI-GOV-BR
 5 CST-CST-INPE-MCTI-GOV-BR
 6 DMD-CPT-INPE-MCTI-GOV-BR
Afiliação 1 Max Planck Institute for Biogeochemistry, Hans-Kn¨oll-Str.10, 07745 Jena, Germany
 2 Max Planck Institute for Biogeochemistry, Hans-Kn¨oll-Str.10, 07745 Jena, Germany
 3 Max Planck Institute for Biogeochemistry, Hans-Kn¨oll-Str.10, 07745 Jena, Germany
 4 Instituto Nacional de Pesquisas Espaciais (INPE)
 5 Instituto Nacional de Pesquisas Espaciais (INPE)
 6 Instituto Nacional de Pesquisas Espaciais (INPE)
 7 Ecole Polytechnique F´ed´erale de Lausanne, Switzerland
 8 Laboratoire d’Etudes du Rayonnement et de la Mati`ere en Astrophysique, Observatoire de Paris, Centre National de la Recherche Scientifique, Paris, France
 9 Laboratory for Atmospheric and Space Physics and Department of Atmospheric and Oceanic Sciences, University of Colorado, Boulder, CO, USA
10 Max Planck Institute for Biogeochemistry, Hans-Kn¨oll-Str.10, 07745 Jena, Germany
Endereço de e-Mail do Autor 1
 2
 3
 4 meganbela@gmail.com
 5 karla.longo@inpe.br
 6 saulo.freitas@cptec.inpe.br
RevistaAtmospheric Chemistry and Physics
Volume13
Número16
Páginas7961-7982
Nota SecundáriaA1 A1 A1 A1 A2 A2 A2
Histórico (UTC)2013-11-21 12:58:46 :: valdirene -> administrator ::
2021-01-02 03:53:21 :: administrator -> marcelo.pazos@inpe.br :: 2013
3. Conteúdo e estrutura
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Tipo de Versãopublisher
ResumoAbstract. The Amazon region, being a large source of methane (CH4), contributes significantly to the global annual CH4 budget. For the first time, a forward and inverse modelling framework on regional scale for the purpose of assessing the CH4 budget of the Amazon region is implemented. Here, we present forward simulations of CH4 as part of the forward and inverse modelling framework based on a modified version of the Weather Research and Forecasting model with chemistry that allows for passive tracer transport of CH4, carbon monoxide, and carbon dioxide (WRF-GHG), in combination with two different process-based bottom-up models of CH4 emissions from anaerobic microbial production in wetlands and additional datasets prescribing CH4 emissions from other sources such as biomass burning, termites, or other anthropogenic emissions. We compare WRFGHG simulations on 10 km horizontal resolution to flask and continuous CH4 observations obtained during two airborne measurement campaigns within the Balanc¸o Atmosf´erico Regional de Carbono na Amazonia (BARCA) project in November 2008 and May 2009. In addition, three different wetland inundation maps, prescribing the fraction of inundated area per grid cell, are evaluated. Our results indicate that the wetland inundation maps based on remote-sensing data represent the observations best except for the northern part of the Amazon basin and the Manaus area. WRF-GHG was able to represent the observed CH4 mixing ratios best at days with less convective activity. After adjusting wetland emissions to match the averaged observed mixing ratios of flights with little convective activity, the monthly CH4 budget for the Amazon basin obtained from four different simulations ranges from 1.5 to 4.8 Tg for November 2008 and from 1.3 to 5.5 Tg for May 2009. This corresponds to an average CH4 flux of 931 mgm−2 d−1 for November 2008 and 836 mgm−2 d−1 for May 2009.
ÁreaMET
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP5W34M/3F98EBS
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP5W34M/3F98EBS
Idiomaen
Arquivo AlvoBeck_WRF-Chem.pdf
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5. Fontes relacionadas
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3T29H
8JMKD3MGPCW/43SKC35
DivulgaçãoWEBSCI; PORTALCAPES; AGU; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords label lineage mark month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m16d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP7W/3ED74QB
Repositóriosid.inpe.br/mtc-m19/2013/07.02.18.15
Última Atualização2013:07.04.19.14.31 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m19/2013/07.02.18.15.18
Última Atualização dos Metadados2021:01.02.03.52.25 (UTC) administrator
DOI10.1175/JCLI-D-12-00580.1
ISSN0894-8755
Rótuloself-archiving-INPE-MCTI-GOV-BR
Chave de CitaçãoNobreSAMGCBKFCBIM:2013:ClSiCh
TítuloClimate simulation and change in the Brazilian Climate Model
ProjetoFAPESP (2009/50528-6); MCTI/FINEP (01.08.0405.00); CNPq (630 550990/2011-9)
Ano2013
MêsSep.
Data de Acesso07 fev. 2023
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho2782 KiB
2. Contextualização
Autor 1 Nobre, Paulo
 2 Siqueira, Leo S. P.
 3 Almeida, Roberto A. F. de
 4 Malagutti, Marta
 5 Giarolla, Emanuel
 6 Castelão, Guilherme P.
 7 Bottino, Marcus J.
 8 Kubota, Paulo
 9 Figueroa, Silvio N.
10 Costa, Mabel C.
11 Baptista Jr., Manoel
12 Irber Jr., Luiz
13 Marcondes, Gabriel G.
Identificador de Curriculo 1 8JMKD3MGP5W/3C9JJ3B
 2
 3
 4
 5 8JMKD3MGP5W/3C9JH2A
Grupo 1 CST-CST-INPE-MCTI-GOV-BR
 2
 3
 4 DMD-CPT-INPE-MCTI-GOV-BR
 5 DMD-CPT-INPE-MCTI-GOV-BR
Afiliação 1 Instituto Nacional de Pesquisas Espaciais (INPE)
 2
 3
 4
 5 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor 1 pnobre@cptec.inpe.br
 2
 3
 4
 5 emanuel@cptec.inpe.br
Endereço de e-Mailrenata.rodrigues@inpe.br
RevistaJournal of Climate
Volume26
Número17
Páginas6716-6732
Nota SecundáriaA1 A1 A1 A1 A1 A2 B1
Histórico (UTC)2013-07-02 18:15:18 :: renata.rodrigues@inpe.br -> administrator ::
2021-01-02 03:52:25 :: administrator -> marcelo.pazos@inpe.br :: 2013
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãofinaldraft
Palavras-Chaveclimate model
Brazil
atmospheric CO2
ResumoThe response of the global climate system to atmospheric CO2 concentration increase in time is scrutinized employing the Brazilian Climate Model (BESM-OA2.3). Through the achievement of over two thousand years of coupled model integrations in ensemble mode, it is shown that the model simulates the signal of recent changes of global climate trends, depicting a steady atmospheric and oceanic temperature increase and corresponding marine ice retreat. The model simulations encompass the time period from 1960 to 2105, following the Coupled Model Intercomparison Project 5 (CMIP5) protocol. Notwithstanding the accurate reproduction of large scale ocean-atmosphere coupled phenomena, like the ENSO phenomena over the Equatorial Pacific and the interhemispheric gradient mode over the Tropical Atlantic, the BESM-OA2.3 coupled model shows systematic errors on sea surface temperature and precipitation which resemble those of other global coupled climate models. Yet, the simulations demonstrate the models potential to contribute to the international efforts on global climate change research, sparking interest in global climate change research within the Brazilian climate modeling community, constituting a building block of the Brazilian Framework for Global Climate Change Research.
ÁreaMET
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCST > Climate simulation and...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > Climate simulation and...
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agreement.html 02/07/2013 15:15 1.0 KiB 
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP7W/3ED74QB
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP7W/3ED74QB
Idiomaen
Arquivo Alvojcli.pdf
Grupo de Usuáriosadministrator
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Visibilidadeshown
Política de Arquivamentodenypublisher6 allowfinaldraft
Permissão de Leituraallow from all
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5. Fontes relacionadas
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3T29H
8JMKD3MGPCW/43SKC35
DivulgaçãoWEBSCI; PORTALCAPES; AGU; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress rightsholder secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m16d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP7W/3E9B97M
Repositóriosid.inpe.br/mtc-m19/2013/06.09.02.31.04   (acesso restrito)
Última Atualização2013:07.16.18.24.26 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m19/2013/06.09.02.31.05
Última Atualização dos Metadados2021:01.02.03.52.23 (UTC) administrator
DOI10.1007/s00382-013-1667-2
ISSN0930-7575
Rótuloscopus
Chave de CitaçãoSolmanSSRLMPRCBLCJ:2013:MoPeUn
TítuloEvaluation of an ensemble of regional climate model simulations over South America driven by the ERA-Interim reanalysis: model performance and uncertainties
ProjetoFAPESP (2008/58161-1)
Ano2013
Data de Acesso07 fev. 2023
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho2307 KiB
2. Contextualização
Autor 1 Solman, Silvina A.
 2 Sanchez, E.
 3 Samuelsson, P.
 4 Rocha, R. P. da
 5 Li, L.
 6 Marengo, José Antonio
 7 Pessacg, N. L.
 8 Remedio, A. R. C.
 9 Chou, Sin Chan
10 Berbery, H.
11 Le Treut, H.
12 Castro, M. de
13 Jacob, D.
Grupo 1
 2
 3
 4
 5
 6 CST-CST-INPE-MCTI-GOV-BR
 7
 8
 9 DMD-CPT-INPE-MCTI-GOV-BR
Afiliação 1 Centro de Investigaciones del Mar y la Atmósfera (CIMA/CONICET-UBA), DCAO/FCEN-UBA, UMI IFAECI/CNRS, Ciudad Universitaria Pabellón II Piso 2, Buenos Aires, C1428EGA, Argentina
 2 Facultad Ciencias Ambientales y Bioquimica, Universidad de Castilla-La Mancha, Toledo, Spain
 3 Rossby Centre, SMHI, Norrköping, 601 76, Sweden
 4 Departamento de Ciencias Atmosfericas, Instituto de Astronomia, Geofisica e Ciencias Atmosfericas, Universidade de São Paulo, São Paulo, Brazil
 5 Laboratoire de Météorologie Dynamique, IPSL, CNRS/UPMC, Paris, France
 6 Instituto Nacional de Pesquisas Espaciais (INPE)
 7 Centro Nacional Patagónico (CENPAT/CONICET), Puerto Madryn, U9120ACF, Argentina
 8 Max Planck Institute for Meteorology, Hamburg, 20146, Germany
 9 Instituto Nacional de Pesquisas Espaciais (INPE)
10 Earth System Science Interdisciplinary Center (ESSIC), University of Maryland, 5825 University Research Court, Suite 4001, College Park, 20740-3823, United States
11 Laboratoire de Météorologie Dynamique, IPSL, CNRS/UPMC, Paris, France
12 Facultad Ciencias Ambientales y Bioquimica, Universidad de Castilla-La Mancha, Toledo, Spain
13 Max Planck Institute for Meteorology, Hamburg, 20146, Germany; Climate Service Center, Hamburg, 20095, Germany
Endereço de e-Mail do Autor 1 solman@cima.fcen.uba.ar
 2
 3
 4
 5
 6 jose.marengo@inpe.br
 7
 8
 9 chou@cptec.inpe.br
Endereço de e-Mailmarcelo.pazos@inpe.br
RevistaClimate Dynamics
Volume41
Número5-6
Páginas1139-1157
Nota SecundáriaA1 A1 A1 A1 A1 A1 A2
Histórico (UTC)2021-01-02 03:52:23 :: administrator -> marcelo.pazos@inpe.br :: 2013
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chaveregional climate models
mean climate
South America
CORDEX
uncertainty
ResumoThe capability of a set of 7 coordinated regional climate model simulations performed in the framework of the CLARIS-LPB Project in reproducing the mean climate conditions over the South American continent has been evaluated. The model simulations were forced by the ERA-Interim reanalysis dataset for the period 1990-2008 on a grid resolution of 50 km, following the CORDEX protocol. The analysis was focused on evaluating the reliability of simulating mean precipitation and surface air temperature, which are the variables most commonly used for impact studies. Both the common features and the differences among individual models have been evaluated and compared against several observational datasets. In this study the ensemble bias and the degree of agreement among individual models have been quantified. The evaluation was focused on the seasonal means, the area-averaged annual cycles and the frequency distributions of monthly means over target sub-regions. Results show that the Regional Climate Model ensemble reproduces adequately well these features, with biases mostly within ±2 °C and ±20 % for temperature and precipitation, respectively. However, the multi-model ensemble depicts larger biases and larger uncertainty (as defined by the standard deviation of the models) over tropical regions compared with subtropical regions. Though some systematic biases were detected particularly over the La Plata Basin region, such as underestimation of rainfall during winter months and overestimation of temperature during summer months, every model shares a similar behavior and, consequently, the uncertainty in simulating current climate conditions is low. Every model is able to capture the variety in the shape of the frequency distribution for both temperature and precipitation along the South American continent. Differences among individual models and observations revealed the nature of individual model biases, showing either a shift in the distribution or an overestimation or underestimation of the range of variability. © 2013 Springer-Verlag Berlin Heidelberg.
ÁreaCST
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCST > Evaluation of an...
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Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomaen
Arquivo Alvo10.1007_s00382-013-1667-2.pdf
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marcelo.pazos@inpe.br
Grupo de Leitoresadministrator
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Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft12
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3T29H
8JMKD3MGPCW/43SKC35
DivulgaçãoWEBSCI; PORTALCAPES; AGU; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress resumeid rightsholder secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url
7. Controle da descrição
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP5W34M/3FA45CK
Repositóriosid.inpe.br/mtc-m21b/2013/11.26.16.54.08
Última Atualização2015:02.02.15.37.02 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21b/2013/11.26.16.54.09
Última Atualização dos Metadados2020:09.09.10.47.15 (UTC) simone
DOI10.1002/jgrd.50804
ISSN0148-0227
2156-2202
Rótuloscopus 2013-11
Chave de CitaçãoSabaScWaHeScOr:2013:BiClLi
TítuloBipolar cloud-to-ground lightning flash observations
Ano2013
Data de Acesso07 fev. 2023
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1784 KiB
2. Contextualização
Autor1 Saba, Marcelo Magalhães Fares
2 Schumann, C.
3 Warner, T. A.
4 Helsdon Jr., J. H.
5 Schulz, W.
6 Orville, R. E.
Identificador de Curriculo1 8JMKD3MGP5W/3C9JHP6
Grupo1 CST-CST-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 National Institute for Space Research, INPE, Av dos Astronautas, 1758, S. José dos Campos, SP, 12227-010, Brazil
3 South Dakota School of Mines and Technology, Rapid City SD, United States
4 South Dakota School of Mines and Technology, Rapid City SD, United States
5 Austrian Lighting Detection and Information System, Vienna, Austria
6 Texas AandM University, College Station TX, United States
Endereço de e-Mail do Autor1 marcelo.saba@inpe.br
Endereço de e-Mailmarcelo.pazos@inpe.br
RevistaJournal of Geophysical Research
Volume118
Número19
Páginas11098-11106
Nota SecundáriaA1 A1 A1 A1 A1 A1 A1 A1 A2 A2 A2 A2 B1 B1 B1
Histórico (UTC)2018-06-04 03:14:11 :: administrator -> marcelo.pazos@inpe.br :: 2013
2020-09-09 10:47:00 :: marcelo.pazos@inpe.br -> simone :: 2013
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chavebipolar flash
positive lightning
negative lightning
high-speed video
electric field
ResumoBipolar lightning is usually defined as a lightning flash where the current waveform exhibits a polarity reversal. There are very few reported cases of cloud-to-ground (CG) bipolar flashes using only one channel in the literature. Reports on this type of bipolar flashes are not common due to the fact that in order to confirm that currents of both polarities follow the same channel to the ground, one necessarily needs video records. This study presents five clear observations of single-channel bipolar CG flashes. High-speed video and electric field measurement observations are used and analyzed. Based on the video images obtained and based on previous observations of positive CG flashes with high-speed cameras, we suggest that positive leader branches which do not participate in the initial return stroke of a positive cloud-to-ground flash later generate recoil leaders whose negative ends, upon reaching the branch point, traverse the return stroke channel path to the ground resulting in a subsequent return stroke of opposite polarity. Key Points Existence of single-channel bipolar flashes Common characteristics of bipolar flashes How can positive and negative discharges use the same path to ground? ©2013. American Geophysical Union. All Rights Reserved.
ÁreaCST
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URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP5W34M/3FA45CK
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP5W34M/3FA45CK
Idiomaen
Arquivo AlvoIstec 1883.pdf
Grupo de Usuáriosadministrator
marcelo.pazos@inpe.br
simone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentodenypublisher6 allowfinaldraft
Permissão de Leituraallow from all
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3T29H
DivulgaçãoWEBSCI; AGU; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url
7. Controle da descrição
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atualizar 

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m16d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP7W/3ENHLQ8
Repositóriosid.inpe.br/mtc-m19/2013/08.29.12.46   (acesso restrito)
Última Atualização2013:08.29.13.00.04 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m19/2013/08.29.12.46.11
Última Atualização dos Metadados2018:06.05.04.14.46 (UTC) administrator
DOI10.1038/ngeo1741
ISSN1752-0894
Rótuloscopus
Chave de CitaçãoHuntingfordZGMSFLWJBMHKGLPALGZMBHNMC:2013:SuIn
TítuloSimulated resilience of tropical rainforests to CO2 -induced climate change: Supplementary information
Ano2013
MêsApr.
Data de Acesso07 fev. 2023
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho3874 KiB
2. Contextualização
Autor 1 Huntingford, Chris
 2 Zelazowski, Przemyslaw
 3 Galbraith, David
 4 Mercado, Lina M.
 5 Sitch, Stephen
 6 Fisher, Rosie
 7 Lomas, Mark
 8 Walker, Anthony P.
 9 Jones, Chris D.
10 Booth, Ben B. B.
11 Malhi, Yadvinder
12 Hemming, Debbie
13 Kay, Gillian
14 Good, Peter
15 Lewis, Simon L.
16 Phillips, Oliver L.
17 Atkin, Owen K.
18 Lloyd, Jon
19 Gloor, Emanuel
20 Zaragoza-Castells, Joana
21 Meir, Patrick
22 Betts, Richard
23 Harris, Phil P.
24 Nobre, Carlos
25 Marengo, José Antonio
26 Cox, Peter M.
Grupo 1
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Afiliação 1 Centre for Ecology and Hydrology, Wallingford OX10 8BB, United Kingdom
 2 Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford OX1 3QY, United Kingdom
 3 Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford OX1 3QY, United Kingdom; School of Geography, University of Leeds, Leeds LS2 9JT, United Kingdom
 4 Centre for Ecology and Hydrology, Wallingford OX10 8BB, United Kingdom; Geography, College of Life and Environmental Sciences, Amory Building, University of Exeter, Exeter EX4 4RJ, United Kingdom
 5 School of Geography, University of Leeds, Leeds LS2 9JT, United Kingdom; Geography, College of Life and Environmental Sciences, Amory Building, University of Exeter, Exeter EX4 4RJ, United Kingdom
 6 Climate and Global Dynamics, National Center for Atmospheric Research, 1850 Table Mesa Drive, Boulder, CO 80305, United States
 7 Department of Animal and Plant Sciences, University of Sheffield, Western Bank, Sheffield S10 2TN, United Kingdom
 8 Department of Animal and Plant Sciences, University of Sheffield, Western Bank, Sheffield S10 2TN, United Kingdom
 9 Met Office Hadley Centre, FitzRoy Road, Exeter EX1 3PB, United Kingdom
10 Met Office Hadley Centre, FitzRoy Road, Exeter EX1 3PB, United Kingdom
11 Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford OX1 3QY, United Kingdom
12 Met Office Hadley Centre, FitzRoy Road, Exeter EX1 3PB, United Kingdom
13 Met Office Hadley Centre, FitzRoy Road, Exeter EX1 3PB, United Kingdom
14 Met Office Hadley Centre, FitzRoy Road, Exeter EX1 3PB, United Kingdom
15 School of Geography, University of Leeds, Leeds LS2 9JT, United Kingdom; Department of Geography, University College London, Pearson Building, Gower Street, London WC1E 6BT, United Kingdom
16 School of Geography, University of Leeds, Leeds LS2 9JT, United Kingdom
17 Division of Plant Sciences, Research School of Biology, Australian National University, Canberra, ACT 0200, Australia
18 School of Geography, University of Leeds, Leeds LS2 9JT, United Kingdom; Centre for Tropical Environment and Sustainability Science (TESS), School of Earth and Environmental Science, James Cook University, Cairns, QLD 4878, Australia
19 School of Geography, University of Leeds, Leeds LS2 9JT, United Kingdom
20 School of Geosciences, University of Edinburgh, Drummond Street, Edinburgh EH8 9XP, United Kingdom
21 Division of Plant Sciences, Research School of Biology, Australian National University, Canberra, ACT 0200, Australia; School of Geosciences, University of Edinburgh, Drummond Street, Edinburgh EH8 9XP, United Kingdom
22 Met Office Hadley Centre, FitzRoy Road, Exeter EX1 3PB, United Kingdom
23 Centre for Ecology and Hydrology, Wallingford OX10 8BB, United Kingdom
24
25 Instituto Nacional de Pesquisas Espaciais (INPE)
26 College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QF, United Kingdom
Endereço de e-Mail do Autor 1 chg@ceh.ac.uk
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Endereço de e-Mailmarcelo.pazos@inpe.br
RevistaNature Geoscience
Volume6
Número4
Páginas268-273
Nota SecundáriaA1 A1 A1
Histórico (UTC)2013-08-29 12:46:11 :: marcelo.pazos@sid.inpe.br -> administrator ::
2018-06-05 04:14:46 :: administrator -> marcelo.pazos@inpe.br :: 2013
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chaveassessment method
biodegradation
carbon dioxide
climate change
climate modeling
deforestation
ecosystem resilience
numerical model
physiological response
precipitation (climatology)
rainforest
temperature effect
tropical environment
tropical forest
twenty first century
vegetation structure
Africa
Asia
western hemisphere
ResumoHow tropical forest carbon stocks might alter in response to changes in climate and atmospheric composition is uncertain. However, assessing potential future carbon loss from tropical forests is important for evaluating the efficacy of programmes for reducing emissions from deforestation and degradation. Uncertainties are associated with different carbon stock responses in models with different representations of vegetation processes on the one hand, and differences in projected changes in temperature and precipitation patterns on the other hand. Here we present a systematic exploration of these sources of uncertainty, along with uncertainty arising from different emissions scenarios for all three main tropical forest regions: the Americas (that is, Amazonia and Central America), Africa and Asia. Using simulations with 22 climate models and the MOSES-TRIFFID land surface scheme, we find that only in one of the simulations are tropical forests projected to lose biomass by the end of the twenty-first century - and then only for the Americas. When comparing with alternative models of plant physiological processes, we find that the largest uncertainties are associated with plant physiological responses, and then with future emissions scenarios. Uncertainties from differences in the climate projections are significantly smaller. Despite the considerable uncertainties, we conclude that there is evidence of forest resilience for all three regions.
ÁreaCST
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvongeo1741-s1.pdf
Grupo de Usuáriosadministrator
marcelo.pazos@inpe.br
Grupo de Leitoresadministrator
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Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft6
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3T29H
DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m16d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP7W/3EEFDHE
Repositóriosid.inpe.br/mtc-m19/2013/07.10.19.23
Última Atualização2013:07.10.19.23.06 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m19/2013/07.10.19.23.06
Última Atualização dos Metadados2018:06.05.04.14.34 (UTC) administrator
DOI10.1175/BAMS-D-11-00252.1
ISSN0003-0007
Chave de CitaçãoWarnerHelBunSabOrv:2013:UPUpLi
TítuloUPLIGHTS upward lightning triggering study
Ano2013
MêsMay
Data de Acesso07 fev. 2023
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1354 KiB
2. Contextualização
Autor1 Warner, Tom A.
2 Helsdon Jr., John H.
3 Bunkers, Matthew J.
4 Saba, Marcelo Magalhães Fares
5 Orville, Richard E.
Identificador de Curriculo1
2
3
4 8JMKD3MGP5W/3C9JHP6
Grupo1
2
3
4 CST-CST-INPE-MCTI-GOV-BR
Afiliação1 Department of Atmospheric Sciences, South Dakota School of Mines and Technology
2 Department of Atmospheric Sciences, South Dakota School of Mines and Technology
3 NOAA/ National Weather Service, Rapid City, South Dakota
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Department of Atmospheric Sciences, NOAA/NWS Cooperative Institute for Applied Meteorological Studies, Texas A&M University, College Station, Texas
Endereço de e-Mail do Autor1
2 John.Helsdon@sdsmt.edu
3
4 marcelo.saba@inpe.br
Endereço de e-Mailmarcelo.pazos@inpe.br
RevistaBulletin of the American Meteorological Society
Volume94
Número5
Páginas631-635
Nota SecundáriaA1 A1 A1 A1 A1
Histórico (UTC)2013-07-10 19:23:06 :: marcelo.pazos@sid.inpe.br -> administrator ::
2018-06-05 04:14:34 :: administrator -> marcelo.pazos@inpe.br :: 2013
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chavelightning
extraterrestrial atmospheres
meteorology
ResumoThe Upward Lightning Triggering Study (UPLIGHTS) is a three-year National Science Foundation-funded field project that is taking place in Rapid City, South Dakota, from April 2012 to September 2014. Three upward flashes that occurred within a 20-min period were all triggered by a preceding +CG (cloud-to-ground) flash. In each case, in-cloud brightening following the +CG propagated toward the towers prior to upward leader initiation. Supporting electric-field data suggested that the approaching in-cloud brightening was horizontally propagating negative-leader development occurring during the +CG continuing current, and that the electric-field change created by the approaching negative leaders caused the initiation of upward positive leaders from the towers. Although none of the 10 towers had current sensing instrumentation, it is likely that a large majority of the upward flashes were upward negative lightning. The research may result in improved detection of upward lightning by lightning location systems.
ÁreaCST
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCST > UPLIGHTS upward lightning...
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Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP7W/3EEFDHE
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP7W/3EEFDHE
Idiomaen
Arquivo Alvobams-d-11-00252.1.pdf
Grupo de Usuáriosmarcelo.pazos@inpe.br
Grupo de Leitoresadministrator
marcelo.pazos@inpe.br
Visibilidadeshown
Política de Arquivamentodenypublisher6 allowfinaldraft
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3T29H
URL (dados não confiáveis)http://dx.doi.org/10.1175/BAMS-D-11-00252.1
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn label lineage mark nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype typeofwork
7. Controle da descrição
e-Mail (login)marcelo.pazos@inpe.br
atualizar