Resultado da Pesquisa
A expressão de busca foi <secondaryty pi and firstg DMD-CPT-INPE-MCTI-GOV-BR and y 2013 and dissemination websci>.
17 referências foram encontradas buscando em 15 dentre 15 sites
(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: 24/02/2021 20:32.

Área de identificação
Tipo de ReferênciaJournal Article
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP5W34M/3FA44SU
Repositóriosid.inpe.br/mtc-m21b/2013/11.26.16.48.26   (acesso restrito)
Última Atualização2013:12.27.17.38.59 administrator
Metadadossid.inpe.br/mtc-m21b/2013/11.26.16.48.27
Última Atualização dos Metadados2021:02.04.18.38.36 administrator
DOI10.1016/j.gloplacha.2013.08.006
ISSN0921-8181
Rótuloscopus 2013-11
Chave de CitaçãoCavalcantiMüllAndrFern:2013:GFMoBe
TítuloCold air intrusions over southeastern South America - GFDL model behavior regarding climate simulations in the 20th century and future projections
Ano2013
Data de Acesso24 fev. 2021
Tipo de Trabalhojournal article
Número de Arquivos1
Tamanho3750 KiB
Área de contextualização
Autor1 Cavalcanti, Iracema Fonseca de Albuquerque
2 Müller, G. V.
3 Andrade, Kelen Martins
4 Fernández Long, M. E.
Identificador de Curriculo1 8JMKD3MGP5W/3C9JHDE
Grupo1 DMD-CPT-INPE-MCTI-GOV-BR
2
3 DOP-CPT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Centro de Investigaciones Científicas y Transferencia de Tecnología a la Produccion, Diamante, Argentina
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Facultad de Agronomía, Cátedra de Climatología y Fenología Agrícolas, Universidad de Buenos Aires (UBA), Argentina
Endereço de e-Mail do Autor1 iracema@cptec.inpe.br
2
3 kelen@cptec.inpe.br
Endereço de e-Mailmarcelo.pazos@inpe.br
RevistaGlobal and Planetary Change
Volume111
Páginas31-42
Tipo SecundárioPRE PI
Nota SecundáriaA1 A1 A1 A2 A2
Histórico2021-02-04 18:38:36 :: 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 Versãopublisher
Palavras-ChaveCMIP3-GFDL-CM2.0, Cold air, Future projections, South America, Temperature extremes, Atmospheric temperature, Computer simulation, Global warming, Climate models, agricultural production, airflow, climate modeling, climate prediction, cold air, extreme event, frost, general circulation model, global warming, nature-society relations, temperature anomaly, temperature gradient, twentieth century, South America.
ResumoCold air intrusions in three areas frequently affected by frosts of southeastern South America are analyzed based on GFDL-CM2.0 Coupled Atmospheric and Oceanic Global Circulation Model. The general objective is to investigate the model ability to simulate the frequency of intrusions in the present climate as well as the changes in the frequency of occurrence and atmospheric characteristics in a future climate scenario. The cold period (May to September) is analyzed for the control period 1961 to 1990 and for the period 2081 to 2100 from the CMIP3 A2 scenario, which reflects the extreme global warming. The coupled GFDL-CM2.0 overestimated the number of cold air intrusions for the present climate (control). This systematic error should be considered in the analyses of future climate results. Future projections indicated a reduction of these cases in GFDL results. As this model overestimated the number of cases, the reduction could be even greater. Composites of extreme cases for the present and future climate in the three areas indicated intensification of the temperature gradient which suggests more vigorous frontal systems, intensification of post-frontal highs and cold air extending to lower latitudes as compared to the present climate. Anomaly intensification was related to the climatological mean temperature, which is higher in the future than in the present. Therefore, even with less cold air intrusion over southeastern South America and a lower number of frost cases in the three areas, the occurrence of more intense systems would have an impact on the agriculture of these areas and such impact would extend to lower latitudes.© 2013 Elsevier B.V.
AreaMET
Arranjo 1Repositório da BDMCI > Fonds INPE > Produção > CGCPT > Cold air intrusions...
Arranjo 2Repositório da BDMCI > Fonds INPE > Produção > DIDMD > Cold air intrusions...
Arranjo 3Repositório da BDMCI > Fonds INPE > Produção > DIDOP > Cold air intrusions...
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Idiomaen
Arquivo AlvoCavalcanti_Cold.pdf
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Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/43SKC35
8JMKD3MGPCW/43SQKNE
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
Área de notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project 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/3FAHM7P
Repositóriosid.inpe.br/mtc-m21b/2013/11.29.19.11
Última Atualização2013:11.29.19.11.57 administrator
Metadadossid.inpe.br/mtc-m21b/2013/11.29.19.11.57
Última Atualização dos Metadados2021:01.02.03.53.26 administrator
DOI10.1175/JCLI-D-12-00293.1
ISSN0894-8755
Rótuloself-archiving-INPE-MCTI-GOV-BR
Chave de CitaçãoGiarollaMata:2013:LoVaSo
TítuloThe low-frequency variability of the southern ocean circulation
Ano2013
Data de Acesso24 fev. 2021
Tipo de Trabalhojournal article
Número de Arquivos1
Tamanho5949 KiB
Área de contextualização
Autor1 Giarolla, Emanuel
2 Matano, Ricardo P.
Identificador de Curriculo1 8JMKD3MGP5W/3C9JH2A
Grupo1 DMD-CPT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 emanuel.giarolla@cptec.inpe.br
RevistaJournal of Climate
Volume26
Número16
Páginas6081-6091
Tipo SecundárioPRE PI
Nota SecundáriaA1 A1 A1 A1 A1 A2 B1
Histórico2013-11-29 19:11:57 :: valdirene -> administrator ::
2021-01-02 03:53:26 :: 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-Chavebottom topography, long time series, low frequency variability, sea surface height, sea surface temperature (SST), spatial structure, spatially homogeneous, wind stress curl, sea level, atmospheric temperature, air-sea interaction, bottom topography, oceanic circulation, satellite data, sea surface height, sea surface temperature, time series analysis, wind stress, Atlantic Ocean, Indian Ocean, Southern Ocean.
ResumoLong time series of sea surface height (SSH), sea surface temperature, and wind stress curl are used to determine the main modes of low-frequency variability of the Southern Ocean (SO) circulation. The dominant mode is a trend of increasing SSH at an average rate of 3.3mmyr21. Similar trends have been reported in previous studies and the analysis indicates that the tendency of sea level increase over the SO has become more spatially homogeneous during the last decade, with changes in the increasing rate in 2000 and 2006. The other modes consist of stationary, basin-type modes, and an eastward-propagating wave. The stationary modes are particularly dominant in the Indian and Atlantic Ocean basins, where their spatial structure appears to be shaped by the basin geometry and the bottom topography. The wavelike patterns travel eastward with a period of approximately 10 years. Two waves were identified in the analysis: a complete cycle between 1997 and 2007 and a second cycle starting in 2000. Such waves have rarely been mentioned or identified in studies using recent satellite-derived SSH products.
AreaMET
Arranjo
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 29/11/2013 17:11 1.0 KiB 
Área de condições de acesso e uso
URL dos dadoshttp://urlib.net/rep/8JMKD3MGP5W34M/3FAHM7P
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP5W34M/3FAHM7P
Idiomaen
Arquivo AlvoGiarolla_The Low-Frequency.pdf
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Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/43SKC35
DivulgaçãoWEBSCI; PORTALCAPES; AGU; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
Área de notas
NotasAerospace Database
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark month nextedition 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-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP5W34M/3FA44MB
Repositóriosid.inpe.br/mtc-m21b/2013/11.26.16.45.54
Última Atualização2013:12.27.17.52.33 administrator
Metadadossid.inpe.br/mtc-m21b/2013/11.26.16.45.55
Última Atualização dos Metadados2021:01.02.03.53.23 administrator
DOI10.1175/BAMS-D-11-00176.1
ISSN0003-0007
Rótuloscopus 2013-11
Chave de CitaçãoPozziSSCPVHBSWVLPWDWWSMNBNVBGML:2013:ExInCo
TítuloToward global drought early warning capability: Expanding international cooperation for the development of a framework for monitoring and forecasting
Ano2013
Data de Acesso24 fev. 2021
Tipo de Trabalhojournal article
Número de Arquivos1
Tamanho10894 KiB
Área de contextualização
Autor 1 Pozzi, W.
 2 Sheffield, J.
 3 Stefanski, R.
 4 Cripe, D.
 5 Pulwarty, R.
 6 Vogt, J. V.
 7 Heim Jr., R. R.
 8 Brewer, M. J.
 9 Svoboda, M.
10 Westerhoff, R.
11 Van Dijk, A. I. J. M.
12 Lloyd-Hughes, B.
13 Pappenberger, F.
14 Werner, M.
15 Dutra, E.
16 Wetterhall, F.
17 Wagner, W.
18 Schubert, S.
19 Mo, K.
20 Nicholson, M.
21 Bettio, L.
22 Nunez, L.
23 Van Beek, R.
24 Bierkens, M.
25 Gonçalves, Luis Gustavo Gonçalves De
26 Mattos, João Gerd Zell de
27 Lawford, R.
Grupo 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
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20
21
22
23
24
25 DMD-CPT-INPE-MCTI-GOV-BR
26 DMD-CPT-INPE-MCTI-GOV-BR
Afiliação 1 Institute of Photogrammetry and Remote Sensing (IPF), Vienna University of Technology, Gusshausstrasse 27-29, 1040 Vienna, Austria
 2 Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, United States
 3 Agricultural Meteorological Division, Climate and Water Department, World Meteorological Organization, Geneva, Switzerland
 4 Group on Earth Observations Secretariat, Geneva, Switzerland
 5 National Integrated Drought Information System, Boulder, CO, United States
 6 European Commission, Joint Research Centre, Ispra, Italy
 7 NOAA National Climatic Data Center, Asheville, NC, United States
 8 NOAA National Climatic Data Center, Asheville, NC, United States
 9 Monitoring Program Area Leader, National Drought Mitigation Center, Lincoln, NE, United States
10 Deltares, Delft, Netherlands
11 Commonwealth Scientific and Industrial Research Organisation, Australian National University, Canberra, Australia
12 Walker Institute, University of Reading, United Kingdom
13 Predictability and Diagnostics Section, European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom
14 UNESCO-IHE and Deltares, Delft, Netherlands
15 Predictability and Diagnostics Section, European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom
16 Predictability and Diagnostics Section, European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom
17 Institute of Photogrammetry and Remote Sensing (IPF), Vienna University of Technology, Gusshausstrasse 27-29, 1040 Vienna, Austria
18 NASA/GSFC, Greenbelt, MD, United States
19 U.S. Center for Climate Prediction, NOAA, Washington, DC, United States
20 Australia Bureau of Agricultural and Economic Sciences, Canberra, Australia
21 National Climate Centre, Bureau of Meteorology, Melbourne, Australia
22 Argentina Servicio Meteorologico Nacional, Buenos Aires, Argentina
23 Geosciences, Universiteit Utrecht, Netherlands
24 Geosciences, Universiteit Utrecht, Netherlands
25 Instituto Nacional de Pesquisas Espaciais (INPE)
26 Instituto Nacional de Pesquisas Espaciais (INPE)
27 Morgan State University, Baltimore, MD, United States
Endereço de e-Mail do Autor 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
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25 gustavo.goncalves@cptec.inpe.br
26 joao.gerd@gmail.com
Endereço de e-Mailmarcelo.pazos@inpe.br
RevistaBulletin of the American Meteorological Society
Volume94
Número6
Páginas776-787
Tipo SecundárioPRE PI
Nota SecundáriaA1 A1 A1 A1 A1
Histórico2021-01-02 03:53:23 :: 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-Chavedrought monitoring, Early Warning System, forecasting capability, intergovernmental panel on climate changes, monitoring frameworks, river runoffs, semi-arid region, water availability, arid regions, climate change, forecasting, international cooperation, interoperability, drought.
ResumoSignificant efforts are being made expanding international cooperation for the development of a framework for monitoring and forecasting. The Intergovernmental Panel on Climate Change has noted that average annual river runoff and water availability are projected to decrease by 10%-13% over some dry and semiarid regions in mid and low latitudes, increasing the frequency, intensity, and duration drought, along with its associated impacts. Significant progress has been made toward developing the Global Drought Early Warning Monitoring Framework (GDEWF), an underlying partnership and framework, along with its Global Drought Early Warning System (GDEWS), which is its interoperable information system, and the organizations that have been working together to make it a reality. The GDEWF aims to improve existing regional and national drought monitoring and forecasting capabilities by adding a global component, facilitating continental monitoring and forecasting and improving these tools at various scales.
AreaMET
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Conteúdo da Pasta sourcenão têm arquivos
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URL dos dadoshttp://urlib.net/rep/8JMKD3MGP5W34M/3FA44MB
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Idiomaen
Arquivo AlvoPozzi_Toward.pdf
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VinculaçãoTrabalho Vinculado à Tese/Dissertação
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/43SKC35
DivulgaçãoWEBSCI; PORTALCAPES; 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 resumeid rightsholder secondarydate secondarykey session shorttitle sponsor subject tertiarytype url
Área de identificação
Tipo de ReferênciaJournal Article
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP5W34M/3FA44JP
Repositóriosid.inpe.br/mtc-m21b/2013/11.26.16.44.45
Última Atualização2013:12.12.11.50.36 administrator
Metadadossid.inpe.br/mtc-m21b/2013/11.26.16.44.46
Última Atualização dos Metadados2021:01.02.03.53.22 administrator
DOI10.5194/hess-17-2929-2013
ISSN1027-5606
Rótuloscopus 2013-11
Chave de CitaçãoPaivaCoBoGoCaGeSa:2013:AsSiRa
TítuloAssimilating in situ and radar altimetry data into a large-scale hydrologic-hydrodynamic model for streamflow forecast in the Amazon
Ano2013
Data de Acesso24 fev. 2021
Tipo de Trabalhojournal article
Número de Arquivos1
Tamanho4926 KiB
Área de contextualização
Autor1 Paiva, R. C. D.
2 Collischonn, W.
3 Bonnet, M. -P.
4 Gonçalves, Luis Gustavo Gonçalves de
5 Calmant, S.
6 Getirana, A.
7 Santos Da Silva, J.
Grupo1
2
3
4 DMD-CPT-INPE-MCTI-GOV-BR
Afiliação1 Instituto de Pesquisas Hidraulicas IPH, Universidade Federal Do Rio Grande Do sul UFRGS, Brazil; ôeosciences Environnement Toulouse GET, UMR5563, Universite Toulouse III Paul Sabatier, Toulouse, France
2 Instituto de Pesquisas HidUaulicas IPH, Universidade Federal Do Rio Grande Do sul UFRGS, Brazil
3 ôeosciences Environnement Toulouse GET, UMR5563, Universite Toulouse III Paul Sabatier, Toulouse, France
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Laboratoire d'Etudes en ôeophysique et Oeanographie Spatiales LEGOS, OMP, Universite Toulouse III Paul Sabatier, Toulouse, France
6 NASA Goddard Space Flight Center, Hydrological Sciences Lab, Greenbelt, United States
7 Universidade do Estado do Amazonas (UEA)
Endereço de e-Mail do Autor1
2
3
4 gustavo.goncalves@cptec.inpe.br
Endereço de e-Mailmarcelo.pazos@inpe.br
RevistaHydrology and Earth System Sciences
Volume17
Número7
Páginas2929-2946
Tipo SecundárioPRE PI
Nota SecundáriaA1 A1 A2 A2 A2 A2 B1 B2
Histórico2021-01-02 03:53:22 :: 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-Chaveensemble Kalman filter, hydrological forecast, hydrological models, spatial correlations, stream flow forecasts, streamflow forecast, temporal correlations, temporal resolution, data processing, digital storage, errors, fluid dynamics, forecasting, normal distribution, radar, rivers, stream flow, water levels, geodetic satellites, data assimilation, data set, envisat-1, floodplain, forecasting method, hydrodynamics, hydrological modeling, Kalman filter, precipitation (climatology), radar altimetry, remote sensing, satellite data, streamflow, water level, Amazon basin.
ResumoIn this work, we introduce and evaluate a data assimilation framework for gauged and radar altimetry-based discharge and water levels applied to a large scale hydrologic-hydrodynamic model for stream flow forecasts over the Amazon River basin. We used the process-based hydrological model called MGB-IPH coupled with a river hydrodynamic module using a storage model for floodplains. The Ensemble Kalman Filter technique was used to assimilate information from hundreds of gauging and altimetry stations based on ENVISAT satellite data. Model state variables errors were generated by corrupting precipitation forcing, considering log-normally distributed, time and spatially correlated errors. The EnKF performed well when assimilating in situ discharge, by improving model estimates at the assimilation sites (change in root-mean-squared error rms Combining double low line-49%) and also transferring information to ungauged rivers reaches (rms Combining double low line-16%). Altimetry data assimilation improves results, in terms of water levels (rms Combining double low line-44%) and discharges (rms Combining double low line-15%) to a minor degree, mostly close to altimetry sites and at a daily basis, even though radar altimetry data has a low temporal resolution. Sensitivity tests highlighted the importance of the magnitude of the precipitation errors and that of their spatial correlation, while temporal correlation showed to be dispensable. The deterioration of model performance at some unmonitored reaches indicates the need for proper characterisation of model errors and spatial localisation techniques for hydrological applications. Finally, we evaluated stream flow forecasts for the Amazon basin based on initial conditions produced by the data assimilation scheme and using the ensemble stream flow prediction approach where the model is forced by past meteorological forcings. The resulting forecasts agreed well with the observations and maintained meaningful skill at large rivers even for long lead times, e.g. >90 days at the Solimões/Amazon main stem. Results encourage the potential of hydrological forecasts at large rivers and/or poorly monitored regions by combining models and remote-sensing information.
AreaMET
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Idiomaen
Arquivo Alvohess-17-2929-2013.pdf
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Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/43SKC35
DivulgaçãoWEBSCI; PORTALCAPES.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
Área de notas
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 url
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Tipo de ReferênciaJournal Article
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP5W34M/3FA43QR
Repositóriosid.inpe.br/mtc-m21b/2013/11.26.16.35.20   (acesso restrito)
Última Atualização2013:12.27.17.11.44 administrator
Metadadossid.inpe.br/mtc-m21b/2013/11.26.16.35.21
Última Atualização dos Metadados2021:01.02.03.53.22 administrator
DOI10.1016/j.agrformet.2013.04.030
ISSN0168-1923
Rótuloscopus 2013-11
Chave de CitaçãoGonçalvesBCSBRMPVFAACCGGHIIJLLMRSSSSSTYZ:2013:OvLaBi
TítuloOverview of the large-scale biosphere-atmosphere experiment in amazonia data model intercomparison project (LBA-DMIP)
Ano2013
Data de Acesso24 fev. 2021
Número de Arquivos1
Tamanho2226 KiB
Área de contextualização
Autor 1 Gonçalves, Luis Gustavo Gonçalves de
 2 Borak, J. S.
 3 Costa, M. H.
 4 Saleska, S. R.
 5 Baker, I.
 6 Restrepo-Coupe, N.
 7 Muza, M. N.
 8 Poulter, B.
 9 Verbeeck, H.
10 Fisher, J. B.
11 Arain, M. A.
12 Arkin, P.
13 Cestaro, B. P.
14 Christoffersen, B.
15 Galbraith, D.
16 Guan, X.
17 van den Hurk, B. J. J. M.
18 Ichii, K.
19 Imbuzeiro, H. M. A.
20 Jain, A. K.
21 Levine, N.
22 Lu, C.
23 Miguez-Macho, G.
24 Roberti, D. R.
25 Sahoo, A.
26 Sakaguchi, K.
27 Schaefer, K.
28 Shi, M.
29 Shuttleworth, W. J.
30 Tian, H.
31 Yang, Z. -L.
32 Zeng, X.
Grupo 1 DMD-CPT-INPE-MCTI-GOV-BR
Afiliação 1 Instituto Nacional de Pesquisas Espaciais (INPE)
 2 Laboratoire des Sciences du Climat et l'Environnement (LSCE), Orme des Merisiers, bat. 701 - Point courrier 129, 91191 Gif Sur Yvette, France; Laboratory of Plant Ecology, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000 Ghent, Belgium
 3 Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109, United States
 4 School of Geography and Earth Sciences, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4K1, Canada
 5 Cooperative Institute for Climate and Satellites, Earth System Science Interdisciplinary Center, University of Maryland, 5825 University Research Court, College Park, MD 20740-3823, United States
 6 School of Geography and Earth Sciences, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4K1, Canada; Department of Atmospheric Sciences, University of São Paulo, São Paulo, Brazil
 7 School of Geography, University of Leeds, Leeds LS2 9JT, United Kingdom
 8 Key Laboratory of Semi-Arid Climate Change, MOE, College of Atmospheric Sciences, Lanzhou University, China
 9 Royal Netherlands Meteorological Institute, KNMI, PO Box 201, 3730 AE De Bilt, Netherlands
10 Faculty of Symbiotic Systems Science, Fukushima University, 1 Kanayagawa, Fukushima 960-1296, Japan
11 Grupo de Pesquisas em Interação Atmosfera-Biosfera, Universidade Federal de Viçosa, MG, Brazil
12 Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign, 105 South Gregory Street, Urbana, IL 61801, United States
13 Department of Organismic and Evolutionary Biology, Harvard University, 26 Oxford Street, Cambridge, MA 02138, United States
14 School of Geography and Earth Sciences, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4K1, Canada
15 International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University Auburn, AL, United States
16 Nonlinear Physics Group, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
17 Department of Physics, Federal University of Santa Maria, Santa Maria, Rio Grande do Sul, Brazil
18 Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, United States
19 Department of Atmospheric Sciences, University of Arizona, Tucson, AZ 85271, United States
20 National Snow and Ice Data Center, 449 UCB, University of Colorado, Boulder, CO 80309-0449, United States
21 Department of Geological Sciences, Jackson School of Geosciences, The University of Texas at Austin, 1 University Station C1100, Austin, TX 78712, United States
22 Department of Hydrology and Water Resources, University of Arizona, PO Box 210011, Tucson, AZ 85721, United States
23 International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, 602 Duncan Drive, Auburn, AL 36849, United States
24 Center for Integrated Earth System Science, Jackson School of Geosciences, University of Texas, Austin, TX 78712-0254, United States
25 Department of Atmospheric Sciences, University of Arizona, PO Box 210081, Tucson, AZ 85721, United States
26 Instituto Nacional de Pesquisas Espaciais (INPE), Brazil
27 Earth System Science Interdisciplinary Center, University of Maryland, College Park, Greenbelt, MD 20740, United States
28 Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
29 Department of Agricultural Engineering, Federal University of Viçosa, Viçosa, MG 36570-000, Brazil
30 Department of Ecology and Evolutionary Biology, University of Arizona, Biosciences West 310, Tucson, AZ 85721, United States
31 Atmospheric Science Department, Colorado State University, 1371 Campus Delivery, Fort Collins, CO 80523-1371, United States
32 Plant Functional Biology and Climate Change Cluster, University of Technology, Sydney, Australia
Endereço de e-Mail do Autor 1 gustavo.goncalves@cptec.inpe.br
Endereço de e-Mailmarcelo.pazos@inpe.br
RevistaAgricultural and Forest Meteorology
Volume182-183
Páginas111-127
Tipo SecundárioPRE PI
Nota SecundáriaA1 A1 A1 A1 A1 A1 A2 A2 B2
Histórico2021-01-02 03:53:22 :: administrator -> marcelo.pazos@inpe.br :: 2013
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Palavras-Chavebiome, biosphere, carbon cycle, climate change, data acquisition, ecosystem modeling, forest ecosystem, global perspective, land surface, numerical model, sensitivity analysis, terrestrial ecosystem, Amazonia.
ResumoA fundamental question connecting terrestrial ecology and global climate change is the sensitivity of key terrestrial biomes to climatic variability and change. The Amazon region is such a key biome: it contains unparalleled biological diversity, a globally significant store of organic carbon, and it is a potent engine driving global cycles of water and energy. The importance of understanding how land surface dynamics of the Amazon region respond to climatic variability and change is widely appreciated, but despite significant recent advances, large gaps in our understanding remain. Understanding of energy and carbon exchange between terrestrial ecosystems and the atmosphere can be improved through direct observations and experiments, as well as through modeling activities. Land surface/ecosystem models have become important tools for extrapolating local observations and understanding to much larger terrestrial regions. They are also valuable tools to test hypothesis on ecosystem functioning. Funded by NASA under the auspices of the LBA (the Large-Scale Biosphere-Atmosphere Experiment in Amazonia), the LBA Data Model Intercomparison Project (LBA-DMIP) uses a comprehensive data set from an observational network of flux towers across the Amazon, and an ecosystem modeling community engaged in ongoing studies using a suite of different land surface and terrestrial ecosystem models to understand Amazon forest function. Here an overview of this project is presented accompanied by a description of the measurement sites, data, models and protocol.
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DOI10.5194/gmd-6-457-2013
ISSN1991-959X
Rótulolattes: 9873289111461387 2 StueferFrGrWePeMcEg:2013:DeSoAp
Chave de CitaçãoStueferFrGrWePeMcEg:2013:DeSoAp
TítuloInclusion of ash and SO2 emissions from volcanic eruptions in WRF-Chem: development and some applications
ProjetoCNPq (302696/2008-3).
Ano2013
Data de Acesso24 fev. 2021
Tipo de Trabalhojournal article
Número de Arquivos1
Tamanho6162 KiB
Área de contextualização
Autor1 Stuefer, Martin
2 Freitas, Saulo Ribeiro de
3 Grell, G.
4 Webley, P.
5 Peckham, S.
6 Mckeen, S. A.
7 Egan, S. D.
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JJ7M
Grupo1
2 DMD-CPT-INPE-MCTI-GOV-BR
Afiliação1 Geophysical Institute, University of Alaska Fairbanks, 903 Koyukuk Drive, Fairbanks, Alaska, AK 99775, USA
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 National Oceanic and Atmospheric Administration Earth Systems Research Laboratory, 325 Broadway, Boulder, Colorado, CO 80305-3337, USA
4 Geophysical Institute, University of Alaska Fairbanks, 903 Koyukuk Drive, Fairbanks, Alaska, AK 99775, USA
5 National Oceanic and Atmospheric Administration Earth Systems Research Laboratory, 325 Broadway, Boulder, Colorado, CO 80305-3337, USA
6 National Oceanic and Atmospheric Administration Earth Systems Research Laboratory, 325 Broadway, Boulder, Colorado, CO 80305-3337, USA
7 Geophysical Institute, University of Alaska Fairbanks, 903 Koyukuk Drive, Fairbanks, Alaska, AK 99775, USA
Endereço de e-Mail do Autor1 stuefer@gi.alaska.edu
2 saulo.freitas@cptec.inpe.br
Endereço de e-Mailsaulo.freitas@cptec.inpe.br
RevistaGeoscientific Model Development
Volume6
Número2
Páginas457-468
Tipo SecundárioPRE PI
Histórico2013-05-31 19:35:25 :: lattes -> administrator ::
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Palavras-Chaveash emissions, SO2 emissions, volcanic eruptions.
ResumoWe describe a new functionality within the Weather Research and Forecasting (WRF) model with coupled Chemistry (WRF-Chem) that allows simulating emission, transport, dispersion, transformation and sedimentation of pollutants released during volcanic activities. Emissions from both an explosive eruption case and a relatively calm degassing situation are considered using the most recent volcanic emission databases. A preprocessor tool provides emission fields and additional information needed to establish the initial three-dimensional cloud umbrella/vertical distribution within the transport model grid, as well as the timing and duration of an eruption. From this source condition, the transport, dispersion and sedimentation of the ash cloud can be realistically simulated by WRF-Chem using its own dynamics and physical parameterization as well as data assimilation. Examples of model applications include a comparison of tephra fall deposits from the 1989 eruption of Mount Redoubt (Alaska) and the dispersion of ash from the 2010 Eyjafjallajökull eruption in Iceland. Both model applications show good coincidence between WRF-Chem and observations.
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Arquivo AlvoStuefer_Inclusion.PDF
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Repositóriodpi.inpe.br/plutao/2013/05.31.19.33
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DOI10.1063/1.4804874
ISSN0094-243X
Rótulolattes: 3752951275341381 3 QuadroBerbHerdGonc:2013:AtWaCy
Chave de CitaçãoQuadroBerbHerdGonç:2013:AtWaCy
TítuloThe atmospheric water cycle over South America as seen in the new generation of global reanalyses
Ano2013
Data de Acesso24 fev. 2021
Tipo de Trabalhojournal article
Número de Arquivos1
Tamanho1524 KiB
Área de contextualização
Autor1 Quadro, Mario Francisco Leal de
2 Berbery, Ernesto H.
3 Herdies, Dirceu Luis
4 Gonçalves, Luis Gustavo Gonçalves de
Identificador de Curriculo1
2
3 8JMKD3MGP5W/3C9JGTU
Grupo1
2
3 DMD-CPT-INPE-MCTI-GOV-BR
4 DMD-CPT-INPE-MCTI-GOV-BR
Afiliação1 Santa Catarina Federal Institute of Education, Science and Technology, Florianopolis, SC, Brazil
2 Institute of Astronomy and Geophysics, University of Sao Paulo, Brazil
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1
2
3 dirceu@cptec.inpe.br
4 gustavo.degonccalves@gmail.com
Endereço de e-Maildirceu@cptec.inpe.br
RevistaAIP Conference Proceedings
Volume1531
Páginas732-735
Tipo SecundárioPRE PI
Nota SecundáriaB3 B3 B3 B3 B3 B4 B4 B5 C C C C C C C C C
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Palavras-Chavehydrological cycle, precipitation, reanalysis, South America.
ResumoIn this study the main features of the hydrological cycle over the South American region are documented with three reanalysis datasets and two observation-derived precipitation products. Rather than attempting to close the water balance that requires additional terms, many model dependent, we focus on the individual terms of the water cycle. An additional analysis is also presented in this work to investigate the role of the transport of moisture over the La Plata Basin (LPB) and South Atlantic Convergence Zone (SACZ) in the precipitation regimes from 1979 to 2007.
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Arquivo AlvoQuadro_The atmospheric.pdf
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DOI10.1002/joc.3569
ISSN0899-8418
Rótulolattes: 9331105406437396 1 KayanoAndrSouz:2013:ReENSo
Chave de CitaçãoKayanoAndrSouz:2013:ReENSo
TítuloRelations between ENSO and the South Atlantic SST modes and their effects on the South American rainfall
ProjetoCNPq (569749/2008-5)
Ano2013
Data de Acesso24 fev. 2021
Número de Arquivos1
Tamanho1342 KiB
Área de contextualização
Autor1 Kayano, Mary Toshie
2 Andreoli, Rita Valeria
3 Souza, Rodrigo Augusto Ferreira de
Identificador de Curriculo1 8JMKD3MGP5W/3C9JHST
Grupo1 DMD-CPT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Universidade do Estado do Amazonas, Escola Superior de Tecnologia, Manaus, AM, Brazil
3 Universidade do Estado do Amazonas, Escola Superior de Tecnologia, Manaus, AM, Brazil
Endereço de e-Mail do Autor1 mary.kayano@cptec.inpe.br
Endereço de e-Mailmary.kayano@cptec.inpe.br
RevistaInternational Journal of Climatology
Volume33
Páginas2008 – 2023
Tipo SecundárioPRE PI
Nota SecundáriaA1 A1 A1 A1 A2 A2 B1
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Palavras-Chaveclimatology, climate variability, El Niño-Southern Oscillation.
ResumoThis paper analyses the relations between the El Niño/Southern Oscillation (ENSO) mode in the tropical Pacific and the sea surface temperature (SST) modes in the South Atlantic for the 1900 2006 period. In the South Atlantic, two modes are analysed in more detail: the South Atlantic dipole (SAD) mode, with centres at (15°S, Greenwich longitude) and at (37.5°S, 25°W) and the southwestern South Atlantic (SWSA) mode, with centres at (30°S, 40°W) and at the southern midlatitudes. The ENSO and SAD modes are lagged or lead connected depending on the period of analysis. An El Niño (a La Niña) precedes by up to 6 months the establishment of a positive (negative) SAD mode during the 1920 1930 and 1940 1980 periods. Otherwise, a positive (negative) SAD mode precedes by up to 1 year the establishment of a La Niña (El Niño) during the 1975 2000 period. On the other hand, the SWSA is strongly driven by the ENSO. The effects of both the SAD and SWSA modes on the South American rainfall are also discussed on a seasonal basis. In general, the SAD (ENSO) mode has a weak influence on the ENSO-related (SAD-related) rainfall anomalies over South America. On the other hand, in general, the SWSA and ENSO modes have a combined effect on rainfall of the southern and southeastern regions of South America. A particularly important result of the present analysis for climate monitoring and forecasting purposes seems to be the changing relations between the SAD and ENSO modes.
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IdentificadorJ8LNKAN8RW/3E7UC68
Repositóriodpi.inpe.br/plutao/2013/05.31.16.49   (acesso restrito)
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DOI10.1002/joc.3417
ISSN0899-8418
Rótulolattes: 9331105406437396 2 GarciaKaya:2013:SoCoOn
Chave de CitaçãoGarciaKaya:2013:SoCoOn
TítuloSome considerations on onset dates of the rainy season in western-central Brazil with antisymmetric outgoing longwave radiation relative to the equator
Ano2013
Data de Acesso24 fev. 2021
Tipo de Trabalhojournal article
Número de Arquivos1
Tamanho911 KiB
Área de contextualização
Autor1 Garcia, Sâmia Regina
2 Kayano, Mary Toshie
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JHST
Grupo1
2 DMD-CPT-INPE-MCTI-GOV-BR
Afiliação1 Universidade Federal de Itajubá
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 samia@unifei.edu.br
2 mary.kayano@cptec.inpe.br
Endereço de e-Mailmary.kayano@cptec.inpe.br
RevistaInternational Journal of Climatology
Volume33
Páginas188-198
Tipo SecundárioPRE PI
Nota SecundáriaA1 A1 A1 A1 A2 A2 B1
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Palavras-ChaveSouth American monsoon, wet season, antisymmetric area.
ResumoA new method to determine the onset dates of the rainy season (ONR) in the Central Amazon area using the antisymmetric in relation to the equator outgoing longwave radiation (OLR) data was developed in a previous paper. This method is adjusted and used here to determine the ONR in Western-Central Brazil (WCB). The adjustment is needed because of the northwest-southeast (NW-SE) orientation of the American monsoon-related convection displacement. The area averages of the OLR (AOLR) are used to identify the ONR dates. The ONR dates in WCB based on the precipitation index determined in a previous work are used as reference for comparisons. The differences between the results with the AOLR method and those shown in previous papers, as well as the advantages of this method are discussed, using composite maps of OLR and maps of the Tropical Rainfall Measuring Mission (TRMM) precipitation data for individual years. The results obtained here for the WCB indicate a potential of the new method for monitoring purposes because the OLR data can easily be obtained and the AOLR calculation is very simple.
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Tipo de ReferênciaJournal Article
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Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentificadorJ8LNKAN8RW/3D53S95
Repositóriodpi.inpe.br/plutao/2012/11.28.17.56   (acesso restrito)
Última Atualização2013:12.06.18.15.19 administrator
Metadadosdpi.inpe.br/plutao/2012/11.28.17.56.10
Última Atualização dos Metadados2021:01.02.03.52.42 administrator
Chave SecundáriaINPE--PRE/
DOI10.1002/hyp.9362
ISSN0885-6087
Rótulolattes: 6072354470541631 4 RosolemGupShuGonZen:2012:ToCoAp
Chave de CitaçãoRosolemGupShuGonZen:2013:ToCoAp
TítuloTowards a comprehensive approach to parameter estimation in land surface parameterization schemes
Ano2013
Data de Acesso24 fev. 2021
Tipo de Trabalhojournal article
Número de Arquivos1
Tamanho2853 KiB
Área de contextualização
Autor1 Rosolem, Rafael
2 Gupta, Hoshin V.
3 Shuttleworth, W. James
4 Gonçalves, Luis Gustavo Gonçalves de
5 Zeng, Xubin
Grupo1
2
3
4 DMD-CPT-INPE-MCTI-GOV-BR
Afiliação1 University of Arizona
2 University of Arizona
3 University of Arizona
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 University of Arizona
Endereço de e-Mail do Autor1
2
3
4 gustavo.goncalves@cptec.inpe.br
Endereço de e-Mailgustavo.goncalves@cptec.inpe.br
RevistaHydrological Processes
Volume27
Páginas2075–2097
Tipo SecundárioPRE PI
Nota SecundáriaA1 A1 A1 A2 A2 B1 B1 B2
Histórico2012-11-28 23:06:33 :: lattes -> administrator :: 2012
2012-11-30 22:09:39 :: administrator -> marciana :: 2012
2013-02-06 15:12:01 :: marciana -> administrator :: 2012
2013-12-06 18:15:20 :: administrator :: 2012 -> 2013
2021-01-02 03:52:42 :: 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-Chaveparameter estimation, model diagnostics, mean squared error decomposition, land surface modelling, simple biosphere model, Amazon biomes.
ResumoIn climate models, the landatmosphere interactions are described numerically by land surface parameterization (LSP) schemes. The continuing improvement in realism in these schemes comes at the expense of the need to specify a large number of parameters that are either directly measured or estimated. Also, an emerging problem is whether the relationships used in LSPs are universal and globally applicable. One plausible approach to evaluate this is to first minimize uncertainty in model parameters by calibration. In this paper, we conduct a comprehensive analysis of some model diagnostics using a slightly modified version of the Simple Biosphere 3 model for a variety of biomes located mainly in the Amazon. First, the degree of influence of each individual parameter in simulating surface fluxes is identified. Next, we estimate parameters using a multi-operator genetic algorithm applied in a multi-objective context and evaluate simulations of energy and carbon fluxes against observations. Compared with the default parameter sets, these parameter estimates improve the partitioning of energy fluxes in forest and cropland sites and provide better simulations of daytime increases in assimilation of net carbon during the dry season at forest sites. Finally, a detailed assessment of the parameter estimation problem was performed by accounting for the decomposition of the mean squared error to the total model uncertainty. Analysis of the total prediction uncertainty reveals that the parameter adjustments significantly improve reproduction of the mean and variability of the flux time series at all sites and generally remove seasonality of the errors but do not improve dynamical properties. Our results demonstrate that error decomposition provides a meaningful and intuitive way to understand differences in model performance. To make further advancements in the knowledge of these models, we encourage the LSP community to adopt similar approaches in the future.
AreaMET
ArranjoRepositório da BDMCI > Fonds INPE > Produção > DIDMD > Towards a comprehensive...
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Arquivo Alvohyp9362.pdf
Grupo de Usuárioslattes
marciana
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marciana
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Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
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