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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 15 dentre 15 sites
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As 10 mais recentes estão listadas abaixo.
Data e hora local de busca: 24/02/2021 20:16.

Área de identificação
Tipo de ReferênciaJournal 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 administrator
Metadadossid.inpe.br/mtc-m21b/2013/11.26.16.48.33
Última Atualização dos Metadados2021:01.02.03.53.24 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 Acesso24 fev. 2021
Tipo de Trabalhojournal article
Número de Arquivos1
Tamanho2678 KiB
Área de 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
Tipo SecundárioPRE PI
Nota SecundáriaA1 A1 A1 A1 A1 A1 A2
Histórico2021-01-02 03:53:24 :: administrator -> marcelo.pazos@inpe.br :: 2013
Área de conteúdo e estrutura
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Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteudoExternal 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.
AreaCST
Arranjo 1INPE > Produção > CGCPT > Simulation of rainfall...
Arranjo 2INPE > Produção > COCST > Simulation of rainfall...
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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
Área de 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
Área de identificação
Tipo de ReferênciaJournal 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 administrator
Metadadossid.inpe.br/mtc-m21b/2013/11.21.12.58.46
Última Atualização dos Metadados2021:01.02.03.53.21 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 Acesso24 fev. 2021
Tipo de Trabalhojournal article
Número de Arquivos1
Tamanho8603 KiB
Área de 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
Tipo SecundárioPRE PI
Nota SecundáriaA1 A1 A1 A1 A2 A2 A2
Histórico2013-11-21 12:58:46 :: valdirene -> administrator ::
2021-01-02 03:53:21 :: administrator -> marcelo.pazos@inpe.br :: 2013
Área de 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.
AreaMET
ArranjoINPE > Produção > COCST > WRF-Chem simulations in...
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 21/11/2013 10:58 1.0 KiB 
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URL dos dadoshttp://urlib.net/rep/8JMKD3MGP5W34M/3F98EBS
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP5W34M/3F98EBS
Idiomaen
Arquivo AlvoBeck_WRF-Chem.pdf
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8JMKD3MGPCW/43SKC35
DivulgaçãoWEBSCI; PORTALCAPES; AGU; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
Área de 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
Área de identificação
Tipo de ReferênciaJournal 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 administrator
Metadadossid.inpe.br/mtc-m19/2013/07.02.18.15.18
Última Atualização dos Metadados2021:01.02.03.52.25 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 Acesso24 fev. 2021
Tipo de Trabalhojournal article
Número de Arquivos1
Tamanho2782 KiB
Área de 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
Tipo SecundárioPRE PI
Nota SecundáriaA1 A1 A1 A1 A1 A2 B1
Histórico2013-07-02 18:15:18 :: renata.rodrigues@inpe.br -> administrator ::
2021-01-02 03:52:25 :: administrator -> marcelo.pazos@inpe.br :: 2013
Área de conteúdo e estrutura
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Estágio do Conteúdoconcluido
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Tipo do ConteudoExternal 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.
AreaMET
Arranjo 1BDMCI > Fonds > Produção > COCST > Climate simulation and...
Arranjo 2BDMCI > Fonds > Produção > DIDMD > Climate simulation and...
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 02/07/2013 15:15 1.0 KiB 
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URL dos dadoshttp://urlib.net/rep/8JMKD3MGP7W/3ED74QB
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP7W/3ED74QB
Idiomaen
Arquivo Alvojcli.pdf
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8JMKD3MGPCW/43SKC35
DivulgaçãoWEBSCI; PORTALCAPES; AGU; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m19@80/2009/08.21.17.02
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e-Mail (login)marcelo.pazos@inpe.br
atualizar 
Área de identificação
Tipo de ReferênciaJournal 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 administrator
Metadadossid.inpe.br/mtc-m19/2013/06.09.02.31.05
Última Atualização dos Metadados2021:01.02.03.52.23 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 Acesso24 fev. 2021
Número de Arquivos1
Tamanho2307 KiB
Área de 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
Tipo SecundárioPRE PI
Nota SecundáriaA1 A1 A1 A1 A1 A1 A2
Histórico2021-01-02 03:52:23 :: administrator -> marcelo.pazos@inpe.br :: 2013
Área de conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteudoExternal 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.
AreaCST
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Arquivo Alvo10.1007_s00382-013-1667-2.pdf
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Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
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8JMKD3MGPCW/43SKC35
DivulgaçãoWEBSCI; PORTALCAPES; AGU; MGA; COMPENDEX; SCOPUS.
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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 simone
Metadadossid.inpe.br/mtc-m21b/2013/11.26.16.54.09
Última Atualização dos Metadados2020:09.09.10.47.15 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 Acesso24 fev. 2021
Número de Arquivos1
Tamanho1784 KiB
Área de 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
Tipo SecundárioPRE PI
Nota SecundáriaA1 A1 A1 A1 A1 A1 A1 A1 A2 A2 A2 A2 B1 B1 B1
Histórico2018-06-04 03:14:11 :: administrator -> marcelo.pazos@inpe.br :: 2013
2020-09-09 10:47:00 :: marcelo.pazos@inpe.br -> simone :: 2013
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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.
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ArranjoINPE > Produção > COCST > Bipolar cloud-to-ground lightning...
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Arquivo AlvoIstec 1883.pdf
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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
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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
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Tipo de ReferênciaJournal 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 administrator
Metadadossid.inpe.br/mtc-m19/2013/08.29.12.46.11
Última Atualização dos Metadados2018:06.05.04.14.46 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 Acesso24 fev. 2021
Tipo de Trabalhojournal article
Número de Arquivos1
Tamanho3874 KiB
Área de 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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25 CST-CST-INPE-MCTI-GOV-BR
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
 2
 3
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 5
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 8
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25 jose.marengo@inpe.br
Endereço de e-Mailmarcelo.pazos@inpe.br
RevistaNature Geoscience
Volume6
Número4
Páginas268-273
Tipo SecundárioPRE PI
Nota SecundáriaA1 A1 A1
Histórico2013-08-29 12:46:11 :: marcelo.pazos@sid.inpe.br -> administrator ::
2018-06-05 04:14:46 :: administrator -> marcelo.pazos@inpe.br :: 2013
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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.
AreaCST
ArranjoBDMCI > Fonds > Produção > COCST > Simulated resilience of...
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DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m19@80/2009/08.21.17.02
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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
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Identificador8JMKD3MGP7W/3EEFDHE
Repositóriosid.inpe.br/mtc-m19/2013/07.10.19.23
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DOI10.1175/BAMS-D-11-00252.1
ISSN0003-0007
Chave de CitaçãoWarnerHelBunSabOrv:2013:UPUpLi
TítuloUPLIGHTS upward lightning triggering study
Ano2013
MêsMay
Data de Acesso24 fev. 2021
Número de Arquivos1
Tamanho1354 KiB
Área de 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
Tipo SecundárioPRE PI
Nota SecundáriaA1 A1 A1 A1 A1
Histórico2013-07-10 19:23:06 :: marcelo.pazos@sid.inpe.br -> administrator ::
2018-06-05 04:14:34 :: administrator -> marcelo.pazos@inpe.br :: 2013
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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.
AreaCST
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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
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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
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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 administrator
Metadadossid.inpe.br/mtc-m19/2013/07.01.13.09.11
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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 Acesso24 fev. 2021
Número de Arquivos1
Tamanho1222 KiB
Área de 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
Tipo SecundárioPRE PI
Nota SecundáriaA2 A2 B1 B2 B2
Histórico2013-07-01 13:09:11 :: kleber.naccarato@inpe.br -> administrator ::
2018-06-05 04:14:25 :: administrator -> marcelo.pazos@inpe.br :: 2013
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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.
AreaCEA
ArranjoBDMCI > Fonds > Produção > COCST > Thunderstorm incidence in...
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Arquivo AlvoPaper_Pinto_IncidenceSoutheast_AG_04.pdf
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Unidades Imediatamente Superiores8JMKD3MGPCW/3F3T29H
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m19@80/2009/08.21.17.02
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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
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Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP7W/3E9Q9K4
Repositóriosid.inpe.br/mtc-m19/2013/06.12.01.40.50
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Metadadossid.inpe.br/mtc-m19/2013/06.12.01.40.51
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DOI10.5194/acp-13-1039-2013
ISSN1680-7316
Rótuloisi
Chave de CitaçãoMakarievaGorSheNobLi:2013:DoWiCo
TítuloWhere do winds come from? A new theory on how water vapor condensation influences atmospheric pressure and dynamics
Ano2013
Data de Acesso24 fev. 2021
Número de Arquivos1
Tamanho504 KiB
Área de contextualização
Autor1 Makarieva, A. M.
2 Gorshkov, V. G.
3 Sheil, Douglas
4 Nobre, Antonio Donato
5 Li, B. -L.
Grupo1
2
3
4 CST-CST-INPE-MCTI-GOV-BR
Afiliação1 Petersburg Nucl Phys Inst, Div Theoret Phys, St Petersburg 188300, Russia.; Univ Calif Riverside, XIEG UCR Int Ctr Arid Land Ecol, Riverside, CA 92521 USA.
2 Petersburg Nucl Phys Inst, Div Theoret Phys, St Petersburg 188300, Russia.; Univ Calif Riverside, XIEG UCR Int Ctr Arid Land Ecol, Riverside, CA 92521 USA.
3 So Cross Univ, Sch Environm Sci & Engn, Lismore, NSW 2480, Australia.; Mbarara Univ Sci & Technol, Inst Trop Forest Conservat, Kabale, Uganda.; Ctr Int Forestry Res, Bogor 16000, Indonesia.
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Univ Calif Riverside, XIEG UCR Int Ctr Arid Land Ecol, Riverside, CA 92521 USA.
Endereço de e-Mail do Autor1 ammakarieva@gmail.com
2
3 douglassheil@itfc.org
4 antonio.nobre@inpe.br
Endereço de e-Mailmarcelo.pazos@inpe.br
RevistaAtmospheric Chemistry and Physics
Volume13
Número2
Páginas1039-1056
Tipo SecundárioPRE PI
Nota SecundáriaA1 A1 A1 A1 A2 A2 A2
Histórico2018-06-05 04:14:18 :: administrator -> marcelo.pazos@inpe.br :: 2013
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Palavras-Chavewinds, phase transitions, atmospheric water.
ResumoPhase transitions of atmospheric water play a ubiquitous role in the Earth's climate system, but their direct impact on atmospheric dynamics has escaped wide attention. Here we examine and advance a theory as to how condensation influences atmospheric pressure through the mass removal of water from the gas phase with a simultaneous account of the latent heat release. Building from fundamental physical principles we show that condensation is associated with a decline in air pressure in the lower atmosphere. This decline occurs up to a certain height, which ranges from 3 to 4 km for surface temperatures from 10 to 30 degrees C. We then estimate the horizontal pressure differences associated with water vapor condensation and find that these are comparable in magnitude with the pressure differences driving observed circulation patterns. The water vapor delivered to the atmosphere via evaporation represents a store of potential energy available to accelerate air and thus drive winds. Our estimates suggest that the global mean power at which this potential energy is released by condensation is around one per cent of the global solar power - this is similar to the known stationary dissipative power of general atmospheric circulation. We conclude that condensation and evaporation merit attention as major, if previously overlooked, factors in driving atmospheric dynamics.
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ArranjoBDMCI > Fonds > Produção > COCST > Where do winds...
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Arquivo Alvoacp-13-1039-2013.pdf
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URL (dados não confiáveis)www.atmos-chem-phys.net/13/1039/2013/
DivulgaçãoWEBSCI; PORTALCAPES; AGU; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m19@80/2009/08.21.17.02
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Campos Vaziosalternatejournal archivist callnumber copyholder creatorhistory descriptionlevel format isbn lineage mark month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype typeofwork
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Tipo de ReferênciaJournal Article
Sitemtc-m16d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP7W/3E9NBTS
Repositóriosid.inpe.br/mtc-m19/2013/06.11.15.13   (acesso restrito)
Última Atualização2013:07.17.12.41.55 administrator
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DOI10.1007/s10750-012-1366-8
ISSN0018-8158
1573-5117
Rótuloisi
Chave de CitaçãoMendoncaKLMROPBBGS:2013:BiStIs
TítuloBimodality in stable isotope composition facilitates the tracing of carbon transfer from macrophytes to higher trophic levels
Projeto(CNPq) grants 480122, 490409, 311427
Ano2013
MêsJun.
Data de Acesso24 fev. 2021
Número de Arquivos1
Tamanho527 KiB
Área de contextualização
Autor 1 Mendonca, Raquel
 2 Kosten, Sarian
 3 Lacerot, Gissell
 4 Mazzeo, Nestor
 5 Roland, Fabio
 6 Ometto, Jean Pierre Henry Balbaud
 7 Paz, Eduardo Alonso
 8 Bove, Claudia Petean
 9 Bueno, Norma Catarina
10 Gomes, Jose Henrique C.
11 Scheffer, Marten
Grupo 1
 2
 3
 4
 5
 6 CST-CST-INPE-MCTI-GOV-BR
Afiliação 1 Univ Fed Rio de Janeiro, Dept Ecol, Rio De Janeiro, RJ, Brazil.; Wageningen Univ, Dept Aquat Ecol & Water Qual Management, NL-6700 AP Wageningen, Netherlands.
 2 Wageningen Univ, Dept Aquat Ecol & Water Qual Management, NL-6700 AP Wageningen, Netherlands.; Leibniz Inst Freshwater Ecol & Inland Fisheries I, Berlin, Neuglobsow, Germany.
 3 Wageningen Univ, Dept Aquat Ecol & Water Qual Management, NL-6700 AP Wageningen, Netherlands.; Univ Republ, Ctr Univ Reg Este, Rocha, Uruguay.
 4 Univ Republica, CURE Fac Ciencias, Dept Ecol & Evolut, Grp Ecol & Rehabil Sistemas Acuat, Montevideo, Uruguay.
 5 Univ Fed Juiz de Fora, Aquat Ecol Lab, Juiz De Fora, MG, Brazil.
 6 Instituto Nacional de Pesquisas Espaciais (INPE)
 7 Univ Republica, Catedra Bot, Dept Quim Organ, Montevideo, Uruguay.
 8 Univ Fed Rio de Janeiro, Museu Nacl, Dept Bot, Rio De Janeiro, RJ, Brazil.
 9 Univ Estadual Oeste Parana, Lab Ficol, Cascavel, PR, Brazil.
10 Fed Univ State Rio de Janeiro, Dept Zool, Rio De Janeiro, RJ, Brazil.
11 Wageningen Univ, Dept Aquat Ecol & Water Qual Management, NL-6700 AP Wageningen, Netherlands.
Endereço de e-Mail do Autor 1 fm.raquel@yahoo.com.br
Endereço de e-Mailmarcelo.pazos@inpe.br
RevistaHydrobiologia
Volume710
Número1
Páginas205-218
Tipo SecundárioPRE PI
Histórico2018-06-05 04:14:16 :: administrator -> marcelo.pazos@inpe.br :: 2013
Área de conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
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Palavras-ChaveMacrophytes, Food webs, Shallow lakes, Stable isotopes, Carbon, South America.
ResumoEven though the suitability of macrophytes to act as a carbon source to food webs has been questioned by some studies, some others indicate that macrophyte-derived carbon may play an important role in the trophic transfer of organic matter in the food web of shallow lakes. To evaluate the importance of macrophytes to food webs, we collected primary producers-macrophytes and periphyton-and consumers from 19 South American shallow lakes and analyzed their carbon stable isotopes composition (delta C-13). Despite the diversity of inorganic carbon sources available in our study lakes, the macrophytes' delta C-13 signatures showed a clear bimodal distribution: C-13-depleted and C-13-enriched, averaging at -27.2 and -13.5aEuro degrees, respectively. We argue that the use of either CO2 or HCO3 (-) by the macrophytes largely caused the bimodal pattern in delta C-13 signals. The contribution of carbon from macrophytes to the lake's food webs was not straightforward in most of the lakes because the macrophytes' isotopic composition was quite similar to the isotopic composition of periphyton, phytoplankton, and terrestrial carbon. However, in some lakes where the macrophytes had a distinct isotopic signature, our data suggest that macrophytes can represent an important carbon source to shallow lake food webs.
AreaCST
ArranjoRepositório da BDMCI > Fonds INPE > Produção > COCST > Bimodality in stable...
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Idiomaen
Arquivo Alvo10.1007_s10750-012-1366-8.pdf
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Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3T29H
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m19@80/2009/08.21.17.02
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Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress resumeid rightsholder secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url
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