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1
Comparing atmospheric transport models for future regional inversions over Europe – Part 1: mapping the atmospheric CO2 signals
Comparing atmospheric transport models for future regional inversions over Europe – Part 1: mapping the atmospheric CO2 signals
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Comparing atmospheric transport models for future regional inversions over Europe – Part 1: mapping the atmospheric CO2 signals

Geels, C. ; Gloor, M. ; Ciais, Philippe ; Bousquet, Philippe ; Peylin, P. ; Vermeulen, A. T. ; Dargaville, R. ; Aalto, T. ; Brandt, J. ; Christensen, J. H. ; Frohn, L. M. ; Haszpra, L. ; Karstens, U. ; Rödenbeck, C. ; Ramonet, M. ; Carboni, G. ; Santaguida, R.

Atmospheric chemistry and physics, 2007-01, Vol.7 (13), p.3461-3479 [Periódico revisado por pares]

European Geosciences Union

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2
Including the sub-grid scale plume rise of vegetation fires in low resolution atmospheric transport models
Including the sub-grid scale plume rise of vegetation fires in low resolution atmospheric transport models
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Including the sub-grid scale plume rise of vegetation fires in low resolution atmospheric transport models

S R Freitas K M Longo; R Chatfield; D Latham; Maria Assunção Faus da Silva Dias; M O Andreae; E Prins; J C Santos; R Gielow; J A Carvalho Junior

Atmospheric Chemistry and Physics Mainz v. 7, p. 3385-3398, 2007

Mainz 2007

Item não circula. Consulte sua biblioteca.(Acessar)

3
Including the sub-grid scale plume rise of vegetation fires in low resolution atmospheric transport models
Including the sub-grid scale plume rise of vegetation fires in low resolution atmospheric transport models
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Including the sub-grid scale plume rise of vegetation fires in low resolution atmospheric transport models

S R Freitas K M Longo; R Chatfield; D Latham; Maria Assunção Faus da Silva Dias; M O Andreae; E Prins; J C Santos; R Gielow; J A Carvalho Junior

Atmospheric Chemistry and Physics Mainz v. 7, p. 3385-3398, 2007

Mainz 2007

Item não circula. Consulte sua biblioteca.(Acessar)

4
Insights of warm-cloud biases in Community Atmospheric Model 5 and 6 from the single-column modeling framework and Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA) observations
Insights of warm-cloud biases in Community Atmospheric Model 5 and 6 from the single-column modeling framework and Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA) observations
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Insights of warm-cloud biases in Community Atmospheric Model 5 and 6 from the single-column modeling framework and Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA) observations

Wang, Yuan ; Zheng, Xiaojian ; Dong, Xiquan ; Xi, Baike ; Yung, Yuk L

Atmospheric chemistry and physics, 2023-08, Vol.23 (15), p.8591-8605 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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5
Multi-model study of mercury dispersion in the atmosphere: atmospheric processes and model evaluation
Multi-model study of mercury dispersion in the atmosphere: atmospheric processes and model evaluation
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Multi-model study of mercury dispersion in the atmosphere: atmospheric processes and model evaluation

Oleg Travnikov Paulo Eduardo Artaxo Netto

Atmospheric Chemistry and Physics Munique v.17, p.5271-5295, 2017

Munique 2017

Acesso online

6
Aerosol–cloud interaction in the atmospheric chemistry model GRAPES_Meso5.1/CUACE and its impacts on mesoscale numerical weather prediction under haze pollution conditions in Jing–Jin–Ji in China
Aerosol–cloud interaction in the atmospheric chemistry model GRAPES_Meso5.1/CUACE and its impacts on mesoscale numerical weather prediction under haze pollution conditions in Jing–Jin–Ji in China
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Aerosol–cloud interaction in the atmospheric chemistry model GRAPES_Meso5.1/CUACE and its impacts on mesoscale numerical weather prediction under haze pollution conditions in Jing–Jin–Ji in China

Zhang, Wenjie ; Wang, Hong ; Zhang, Xiaoye ; Huang, Liping ; Peng, Yue ; Liu, Zhaodong ; Zhang, Xiao ; Che, Huizheng

Atmospheric chemistry and physics, 2022-11, Vol.22 (23), p.15207-15221 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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7
Error apportionment for atmospheric chemistry-transport models – a new approach to model evaluation
Error apportionment for atmospheric chemistry-transport models – a new approach to model evaluation
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Error apportionment for atmospheric chemistry-transport models – a new approach to model evaluation

Solazzo, Efisio ; Galmarini, Stefano

Atmospheric chemistry and physics, 2016-05, Vol.16 (10), p.6263-6283 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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8
Quantifying atmospheric nitrate formation pathways based on a global model of the oxygen isotopic composition (Δ 17 O) of atmospheric nitrate
Quantifying atmospheric nitrate formation pathways based on a global model of the oxygen isotopic composition (Δ 17 O) of atmospheric nitrate
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Quantifying atmospheric nitrate formation pathways based on a global model of the oxygen isotopic composition (Δ 17 O) of atmospheric nitrate

Alexander, B. ; Hastings, M. G. ; Allman, D. J. ; Dachs, J. ; Thornton, J. A. ; Kunasek, S. A.

Atmospheric chemistry and physics, 2009-07, Vol.9 (14), p.5043-5056 [Periódico revisado por pares]

Copernicus Publications

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9
Representation of tropical deep convection in atmospheric models – Part 2: Tracer transport
Representation of tropical deep convection in atmospheric models – Part 2: Tracer transport
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Representation of tropical deep convection in atmospheric models – Part 2: Tracer transport

Hoyle, C. R. ; Marécal, V. ; Russo, M. R. ; Allen, G. ; Arteta, J. ; Chemel, C. ; Chipperfield, M. P. ; D'Amato, F. ; Dessens, O. ; Feng, W. ; Hamilton, J. F. ; Harris, N. R. P. ; Hosking, J. S. ; Lewis, A. C. ; Morgenstern, O. ; Peter, T. ; Pyle, J. A. ; Reddmann, T. ; Richards, N. A. D. ; Telford, P. J. ; Tian, W. ; Viciani, S. ; Volz-Thomas, A. ; Wild, O. ; Yang, X. ; Zeng, G.

Atmospheric chemistry and physics, 2011-08, Vol.11 (15), p.8103-8131 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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10
Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations
Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations
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Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations

Russo, M. R. ; Marécal, V. ; Hoyle, C. R. ; Arteta, J. ; Chemel, C. ; Chipperfield, M. P. ; Dessens, O. ; Feng, W. ; Hosking, J. S. ; Telford, P. J. ; Wild, O. ; Yang, X. ; Pyle, J. A.

Atmospheric chemistry and physics, 2011-03, Vol.11 (6), p.2765-2786 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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