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Artigo de periodico
Air quality modeling intercomparison and multiscale ensemble chain for Latin America (2024)
Pachón, Jorge E.; Opazo, Mariel A.; Lichtig, Pablo ; Huneeus, Nicolas; Bouarar, Idir; Brasseur, Guy ; Li, Cathy W. Y ; Flemming, Johannes ; Menut, Laurent ; Menares, Camilo; Gallardo, Laura ; Gauss, Michael; Sofiev, Mikhail ; Kouznetsov, Rostislav ; Palamarchuk, Julia; Uppstu, Andreas; Dawidowski, Laura; Rojas, Nestor Y. ; Andrade, Maria de Fátima ; Gavidia-Calderón, Mario E. ; Peralta, Alejandro H. Delgado ; Schuch, Daniel
Fonte: Geoscientific Model Development. Unidade: IAG
Assuntos: POLUIÇÃO AMBIENTAL, QUALIDADE DO AR, OBSERVAÇÃO METEOROLÓGICA
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ABNT
PACHÓN, Jorge E. et al. Air quality modeling intercomparison and multiscale ensemble chain for Latin America. Geoscientific Model Development, v. 17, n. 20, p. 7467-7512, 2024Tradução . . Disponível em: https://doi.org/10.5194/gmd-17-7467-2024. Acesso em: 29 nov. 2025.
APA
Pachón, J. E., Opazo, M. A., Lichtig, P., Huneeus, N., Bouarar, I., Brasseur, G., et al. (2024). Air quality modeling intercomparison and multiscale ensemble chain for Latin America. Geoscientific Model Development, 17( 20), 7467-7512. Recuperado de https://doi.org/10.5194/gmd-17-7467-2024
NLM
Pachón JE, Opazo MA, Lichtig P, Huneeus N, Bouarar I, Brasseur G, Li CWY, Flemming J, Menut L, Menares C, Gallardo L, Gauss M, Sofiev M, Kouznetsov R, Palamarchuk J, Uppstu A, Dawidowski L, Rojas NY, Andrade M de F, Gavidia-Calderón ME, Peralta AHD, Schuch D. Air quality modeling intercomparison and multiscale ensemble chain for Latin America [Internet]. Geoscientific Model Development. 2024 ; 17( 20): 7467-7512.[citado 2025 nov. 29 ] Available from: https://doi.org/10.5194/gmd-17-7467-2024
Vancouver
Pachón JE, Opazo MA, Lichtig P, Huneeus N, Bouarar I, Brasseur G, Li CWY, Flemming J, Menut L, Menares C, Gallardo L, Gauss M, Sofiev M, Kouznetsov R, Palamarchuk J, Uppstu A, Dawidowski L, Rojas NY, Andrade M de F, Gavidia-Calderón ME, Peralta AHD, Schuch D. Air quality modeling intercomparison and multiscale ensemble chain for Latin America [Internet]. Geoscientific Model Development. 2024 ; 17( 20): 7467-7512.[citado 2025 nov. 29 ] Available from: https://doi.org/10.5194/gmd-17-7467-2024
Artigo de periodico
A new methodological framework for geophysical sensor combinations associated with machine learning algorithms to understand soil attributes (2022)
Mello, Danilo César de ; Veloso, Gustavo Vieira ; Lana, Marcos Guedes de; Mello, Fellipe Alcantara de Oliveira ; Poppiel, Raul Roberto ; Cabrero, Diego Ribeiro Oquendo; Di Raimo, Luis Augusto Di Loreto ; Schaefer, Carlos Ernesto Gonçalves Reynaud; Fernandes Filho, Elpídio Inácio ; Leite, Emilson Pereira; Demattê, José Alexandre Melo
Fonte: Geoscientific Model Development. Unidade: ESALQ
Assuntos: ALGORITMOS, APRENDIZADO COMPUTACIONAL, FRAMEWORKS, GEOFÍSICA, MODELAGEM DE DADOS, SENSOR, SOLOS
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ABNT
MELLO, Danilo César de et al. A new methodological framework for geophysical sensor combinations associated with machine learning algorithms to understand soil attributes. Geoscientific Model Development, v. 15, p. 1219–1246, 2022Tradução . . Disponível em: https://doi.org/10.5194/gmd-15-1219-2022. Acesso em: 29 nov. 2025.
APA
Mello, D. C. de, Veloso, G. V., Lana, M. G. de, Mello, F. A. de O., Poppiel, R. R., Cabrero, D. R. O., et al. (2022). A new methodological framework for geophysical sensor combinations associated with machine learning algorithms to understand soil attributes. Geoscientific Model Development, 15, 1219–1246. doi:10.5194/gmd-15-1219-2022
NLM
Mello DC de, Veloso GV, Lana MG de, Mello FA de O, Poppiel RR, Cabrero DRO, Di Raimo LADL, Schaefer CEGR, Fernandes Filho EI, Leite EP, Demattê JAM. A new methodological framework for geophysical sensor combinations associated with machine learning algorithms to understand soil attributes [Internet]. Geoscientific Model Development. 2022 ; 15 1219–1246.[citado 2025 nov. 29 ] Available from: https://doi.org/10.5194/gmd-15-1219-2022
Vancouver
Mello DC de, Veloso GV, Lana MG de, Mello FA de O, Poppiel RR, Cabrero DRO, Di Raimo LADL, Schaefer CEGR, Fernandes Filho EI, Leite EP, Demattê JAM. A new methodological framework for geophysical sensor combinations associated with machine learning algorithms to understand soil attributes [Internet]. Geoscientific Model Development. 2022 ; 15 1219–1246.[citado 2025 nov. 29 ] Available from: https://doi.org/10.5194/gmd-15-1219-2022
Artigo de periodico
The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 2: Model evaluation for tropical South America (2019)
Longo, Marcos; Knox, Ryan G; Levine, Naomi M; Swann, Abigail L. S; Medvigy, David M; Dietze, Michael C; Kim, Yeonjoo; Zhang, Ke; Bonal, Damien; Burban, Benoit; Camargo, Plinio Barbosa de ; Hayek, Matthew N; Saleska, Scott R; Silva, Rodrigo da ; Bras, Rafael L; Wofsy, Steven C; Moorcroft, Paul R
Fonte: Geoscientific Model Development. Unidade: CENA
Assuntos: ÁGUA, BIOFÍSICA, CARBONO, CICLOS BIOGEOQUÍMICOS, ENERGIA, ECOSSISTEMAS TERRESTRES
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ABNT
LONGO, Marcos et al. The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 2: Model evaluation for tropical South America. Geoscientific Model Development, v. 12, p. 4347-4374, 2019Tradução . . Disponível em: https://doi.org/10.5194/gmd-12-4347-2019. Acesso em: 29 nov. 2025.
APA
Longo, M., Knox, R. G., Levine, N. M., Swann, A. L. S., Medvigy, D. M., Dietze, M. C., et al. (2019). The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 2: Model evaluation for tropical South America. Geoscientific Model Development, 12, 4347-4374. doi:10.5194/gmd-12-4347-2019
NLM
Longo M, Knox RG, Levine NM, Swann ALS, Medvigy DM, Dietze MC, Kim Y, Zhang K, Bonal D, Burban B, Camargo PB de, Hayek MN, Saleska SR, Silva R da, Bras RL, Wofsy SC, Moorcroft PR. The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 2: Model evaluation for tropical South America [Internet]. Geoscientific Model Development. 2019 ; 12 4347-4374.[citado 2025 nov. 29 ] Available from: https://doi.org/10.5194/gmd-12-4347-2019
Vancouver
Longo M, Knox RG, Levine NM, Swann ALS, Medvigy DM, Dietze MC, Kim Y, Zhang K, Bonal D, Burban B, Camargo PB de, Hayek MN, Saleska SR, Silva R da, Bras RL, Wofsy SC, Moorcroft PR. The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 2: Model evaluation for tropical South America [Internet]. Geoscientific Model Development. 2019 ; 12 4347-4374.[citado 2025 nov. 29 ] Available from: https://doi.org/10.5194/gmd-12-4347-2019
Artigo de periodico
VEIN v0.2.2: an R package for bottom–up vehicular emissions inventories (2018)
Ibarra-Espinosa, Sergio; Ynoue, Rita Yuri; O'Sullivan, Shane; Pebesma, Edzer; Andrade, Maria de Fátima; Osses, Mauricio
Fonte: Geoscientific Model Development. Unidade: IAG
Assuntos: METEOROLOGIA AMBIENTAL, POLUIÇÃO ATMOSFÉRICA, VEÍCULOS AUTOMOTORES
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ABNT
IBARRA-ESPINOSA, Sergio et al. VEIN v0.2.2: an R package for bottom–up vehicular emissions inventories. Geoscientific Model Development, v. 11, n. 6, p. 2209-2229, 2018Tradução . . Disponível em: https://doi.org/10.5194/gmd-11-2209-2018. Acesso em: 29 nov. 2025.
APA
Ibarra-Espinosa, S., Ynoue, R. Y., O'Sullivan, S., Pebesma, E., Andrade, M. de F., & Osses, M. (2018). VEIN v0.2.2: an R package for bottom–up vehicular emissions inventories. Geoscientific Model Development, 11( 6), 2209-2229. doi:10.5194/gmd-11-2209-2018
NLM
Ibarra-Espinosa S, Ynoue RY, O'Sullivan S, Pebesma E, Andrade M de F, Osses M. VEIN v0.2.2: an R package for bottom–up vehicular emissions inventories [Internet]. Geoscientific Model Development. 2018 ; 11( 6): 2209-2229.[citado 2025 nov. 29 ] Available from: https://doi.org/10.5194/gmd-11-2209-2018
Vancouver
Ibarra-Espinosa S, Ynoue RY, O'Sullivan S, Pebesma E, Andrade M de F, Osses M. VEIN v0.2.2: an R package for bottom–up vehicular emissions inventories [Internet]. Geoscientific Model Development. 2018 ; 11( 6): 2209-2229.[citado 2025 nov. 29 ] Available from: https://doi.org/10.5194/gmd-11-2209-2018
Artigo de periodico
The Brazilian developments on the Regional Atmospheric Modeling System (BRAMS 5.2): an integrated environmental model tuned for tropical areas (2017)
Freitas, Saulo Ribeiro de; Panetta, Jairo; Longo, Karla Maria; Rodrigues, Luiz F; Moreira, Demerval S; Rosário, Nilton E; Dias, Pedro Leite da Silva; Dias, Maria Assunção Faus da Silva; Souza, Enio P; Freitas, Edmílson Dias de; Camponogara, Gláuber
Fonte: Geoscientific Model Development. Unidade: IAG
Assuntos: METEOROLOGIA AMBIENTAL, METEOROLOGIA
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ABNT
FREITAS, Saulo Ribeiro de et al. The Brazilian developments on the Regional Atmospheric Modeling System (BRAMS 5.2): an integrated environmental model tuned for tropical areas. Geoscientific Model Development, v. 10, p. 189-222, 2017Tradução . . Disponível em: https://doi.org/10.5194/gmd-10-189-2017. Acesso em: 29 nov. 2025.
APA
Freitas, S. R. de, Panetta, J., Longo, K. M., Rodrigues, L. F., Moreira, D. S., Rosário, N. E., et al. (2017). The Brazilian developments on the Regional Atmospheric Modeling System (BRAMS 5.2): an integrated environmental model tuned for tropical areas. Geoscientific Model Development, 10, 189-222. doi:10.5194/gmd-10-189-2017
NLM
Freitas SR de, Panetta J, Longo KM, Rodrigues LF, Moreira DS, Rosário NE, Dias PL da S, Dias MAF da S, Souza EP, Freitas ED de, Camponogara G. The Brazilian developments on the Regional Atmospheric Modeling System (BRAMS 5.2): an integrated environmental model tuned for tropical areas [Internet]. Geoscientific Model Development. 2017 ; 10 189-222.[citado 2025 nov. 29 ] Available from: https://doi.org/10.5194/gmd-10-189-2017
Vancouver
Freitas SR de, Panetta J, Longo KM, Rodrigues LF, Moreira DS, Rosário NE, Dias PL da S, Dias MAF da S, Souza EP, Freitas ED de, Camponogara G. The Brazilian developments on the Regional Atmospheric Modeling System (BRAMS 5.2): an integrated environmental model tuned for tropical areas [Internet]. Geoscientific Model Development. 2017 ; 10 189-222.[citado 2025 nov. 29 ] Available from: https://doi.org/10.5194/gmd-10-189-2017
Artigo de periodico
Analysing amazonian forest productivity using a new individual and trait-based model (TFS v.1) (2014)
Fyllas, N. M.; Gloor, E.; Mercado, L. M.; Sitch, S.; Quesada, C. A.; Domingues, Tomas Ferreira ; Galbraith, D. R.; Torre-Lezama, A.; Vilanova, E.; Ramírez-Angulo, H.; Higuchi, Niro ; Neill, D. A.; Silveira, M.; Ferreira, L.; Aymard, G. A.; Malhi, Y.; Phillips, O. L.; Lloyd, J.
Fonte: Geoscientific Model Development. Unidade: FFCLRP
Assuntos: BIOMASSA, ECOLOGIA VEGETAL
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ABNT
FYLLAS, N. M. et al. Analysing amazonian forest productivity using a new individual and trait-based model (TFS v.1). Geoscientific Model Development, v. 7, p. 1251-1269, 2014Tradução . . Disponível em: https://doi.org/10.5194/gmd-7-1251-2014. Acesso em: 29 nov. 2025.
APA
Fyllas, N. M., Gloor, E., Mercado, L. M., Sitch, S., Quesada, C. A., Domingues, T. F., et al. (2014). Analysing amazonian forest productivity using a new individual and trait-based model (TFS v.1). Geoscientific Model Development, 7, 1251-1269. doi:10.5194/gmd-7-1251-2014
NLM
Fyllas NM, Gloor E, Mercado LM, Sitch S, Quesada CA, Domingues TF, Galbraith DR, Torre-Lezama A, Vilanova E, Ramírez-Angulo H, Higuchi N, Neill DA, Silveira M, Ferreira L, Aymard GA, Malhi Y, Phillips OL, Lloyd J. Analysing amazonian forest productivity using a new individual and trait-based model (TFS v.1) [Internet]. Geoscientific Model Development. 2014 ; 7 1251-1269.[citado 2025 nov. 29 ] Available from: https://doi.org/10.5194/gmd-7-1251-2014
Vancouver
Fyllas NM, Gloor E, Mercado LM, Sitch S, Quesada CA, Domingues TF, Galbraith DR, Torre-Lezama A, Vilanova E, Ramírez-Angulo H, Higuchi N, Neill DA, Silveira M, Ferreira L, Aymard GA, Malhi Y, Phillips OL, Lloyd J. Analysing amazonian forest productivity using a new individual and trait-based model (TFS v.1) [Internet]. Geoscientific Model Development. 2014 ; 7 1251-1269.[citado 2025 nov. 29 ] Available from: https://doi.org/10.5194/gmd-7-1251-2014
Artigo de periodico
Coupling a thermodynamically active ice shelf to a regional simulation of the Weddell Sea (2013)
Meccia, Virna; Wainer, Ilana Elazari Klein Coaracy ; Tonelli, Marcos Henrique; Curchitser, Enrique N.
Fonte: Geoscientific Model Development. Unidade: IO
Assuntos: OCEANOGRAFIA FÍSICA, TERMODINÂMICA, CIRCULAÇÃO OCEÂNICA
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ABNT
MECCIA, Virna et al. Coupling a thermodynamically active ice shelf to a regional simulation of the Weddell Sea. Geoscientific Model Development, v. 6, p. 1209-1219, 2013Tradução . . Disponível em: https://doi.org/10.5194/gmd-6-1209-2013. Acesso em: 29 nov. 2025.
APA
Meccia, V., Wainer, I. E. K. C., Tonelli, M. H., & Curchitser, E. N. (2013). Coupling a thermodynamically active ice shelf to a regional simulation of the Weddell Sea. Geoscientific Model Development, 6, 1209-1219. doi:10.5194/gmd-6-1209-2013
NLM
Meccia V, Wainer IEKC, Tonelli MH, Curchitser EN. Coupling a thermodynamically active ice shelf to a regional simulation of the Weddell Sea [Internet]. Geoscientific Model Development. 2013 ; 6 1209-1219.[citado 2025 nov. 29 ] Available from: https://doi.org/10.5194/gmd-6-1209-2013
Vancouver
Meccia V, Wainer IEKC, Tonelli MH, Curchitser EN. Coupling a thermodynamically active ice shelf to a regional simulation of the Weddell Sea [Internet]. Geoscientific Model Development. 2013 ; 6 1209-1219.[citado 2025 nov. 29 ] Available from: https://doi.org/10.5194/gmd-6-1209-2013

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