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1
The model SIRANE for atmospheric urban pollutant dispersion; part I, presentation of the model
The model SIRANE for atmospheric urban pollutant dispersion; part I, presentation of the model
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The model SIRANE for atmospheric urban pollutant dispersion; part I, presentation of the model

Soulhac, Lionel ; Salizzoni, Pietro ; Cierco, F.-X. ; Perkins, Richard

Atmospheric environment (1994), 2011-12, Vol.45 (39), p.7379-7395 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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2
Development of non-linear models predicting daily fine particle concentrations using aerosol optical depth retrievals and ground-based measurements at a municipality in the Brazilian Amazon region
Development of non-linear models predicting daily fine particle concentrations using aerosol optical depth retrievals and ground-based measurements at a municipality in the Brazilian Amazon region
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Development of non-linear models predicting daily fine particle concentrations using aerosol optical depth retrievals and ground-based measurements at a municipality in the Brazilian Amazon region

Karen dos Santos Gonçalves Mirko S Winklera; Paulo Roberto Benchimol-Barbosa; Keesde Hoogh; Paulo Eduardo Artaxo Netto; Sandra de Souza Hacon; Christian Schindler; Nino Künzli

Atmospheric Environment Amsterdam v. 184, n. 7, p. 156-165, 2018

Amsterdan 2018

Item não circula. Consulte sua biblioteca.(Acessar)

3
Comparison between atmospheric chemistry model and observations utilizing the RAQMS–CMAQ linkage
Comparison between atmospheric chemistry model and observations utilizing the RAQMS–CMAQ linkage
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Comparison between atmospheric chemistry model and observations utilizing the RAQMS–CMAQ linkage

Lee, Daegyun ; Wang, Jingqian ; Jiang, Xun ; Lee, Yongmi ; Jang, Keewon

Atmospheric environment (1994), 2012-12, Vol.61, p.85-93 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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4
Prediction of ground-level ozone concentration in São Paulo, Brazil deterministic versus statistic models
Prediction of ground-level ozone concentration in São Paulo, Brazil deterministic versus statistic models
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Prediction of ground-level ozone concentration in São Paulo, Brazil deterministic versus statistic models

G Hoshyaripour G Brasseur; Maria de Fátima Andrade; M Gavidia-Calderón; I Bouarar; Rita Yuri Ynoue

Atmospheric Environment Oxford v. 145, p. 365-375, 2016

Oxford 2016

Item não circula. Consulte sua biblioteca.(Acessar)

5
High spatial and temporal resolution vehicular emissions in south-east Brazil with traffic data from real-time GPS and travel demand models
High spatial and temporal resolution vehicular emissions in south-east Brazil with traffic data from real-time GPS and travel demand models
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High spatial and temporal resolution vehicular emissions in south-east Brazil with traffic data from real-time GPS and travel demand models

Sergio Ibarra-Espinosa Rita Yuri Ynoue; Karls Ropkins; Xuelei Zhang; Edmílson Dias de Freitas

Atmospheric Environment Oxford v. 222, art. 117136, feb. 2020

Oxford 2020

Item não circula. Consulte sua biblioteca.(Acessar)

6
The model SIRANE for atmospheric urban pollutant dispersion; PART II, validation of the model on a real case study
The model SIRANE for atmospheric urban pollutant dispersion; PART II, validation of the model on a real case study
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The model SIRANE for atmospheric urban pollutant dispersion; PART II, validation of the model on a real case study

Soulhac, L. ; Salizzoni, P. ; Mejean, P. ; Didier, D. ; Rios, I.

Atmospheric environment (1994), 2012-03, Vol.49, p.320-337 [Periódico revisado por pares]

Elsevier Ltd

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7
A study of global atmospheric budget and distribution of acetone using global atmospheric model STOCHEM-CRI
A study of global atmospheric budget and distribution of acetone using global atmospheric model STOCHEM-CRI
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A study of global atmospheric budget and distribution of acetone using global atmospheric model STOCHEM-CRI

Khan, M.A.H. ; Cooke, M.C. ; Utembe, S.R. ; Archibald, A.T. ; Maxwell, P. ; Morris, W.C. ; Xiao, P. ; Derwent, R.G. ; Jenkin, M.E. ; Percival, C.J. ; Walsh, R.C. ; Young, T.D.S. ; Simmonds, P.G. ; Nickless, G. ; O'Doherty, S. ; Shallcross, D.E.

Atmospheric environment (1994), 2015-07, Vol.112, p.269-277 [Periódico revisado por pares]

Elsevier Ltd

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8
CFD and Gaussian atmospheric dispersion models: A comparison for leak from carbon dioxide transportation and storage facilities
CFD and Gaussian atmospheric dispersion models: A comparison for leak from carbon dioxide transportation and storage facilities
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CFD and Gaussian atmospheric dispersion models: A comparison for leak from carbon dioxide transportation and storage facilities

Mazzoldi, Alberto ; Hill, Tim ; Colls, Jeremy J.

Atmospheric environment (1994), 2008-11, Vol.42 (34), p.8046-8054 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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9
Revisiting the strong and weak ENSO teleconnection impacts using a high-resolution atmospheric model
Revisiting the strong and weak ENSO teleconnection impacts using a high-resolution atmospheric model
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Revisiting the strong and weak ENSO teleconnection impacts using a high-resolution atmospheric model

Dogar, Muhammad Mubashar Ahmad ; Almazroui, Mansour

Atmospheric environment (1994), 2022-02, Vol.270, p.118866, Article 118866 [Periódico revisado por pares]

Elsevier Ltd

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10
Scientific uncertainties in atmospheric mercury models II: Sensitivity analysis in the CONUS domain
Scientific uncertainties in atmospheric mercury models II: Sensitivity analysis in the CONUS domain
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Scientific uncertainties in atmospheric mercury models II: Sensitivity analysis in the CONUS domain

Lin, Che-Jen ; Pongprueksa, Pruek ; Russell Bullock, O. ; Lindberg, Steve E. ; Pehkonen, Simo O. ; Jang, Carey ; Braverman, Thomas ; Ho, Thomas C.

Atmospheric environment (1994), 2007-10, Vol.41 (31), p.6544-6560 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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