Zobrazeno 1 - 10
of 32
pro vyhledávání: '"T. Fauchez"'
Publikováno v:
Atmospheric Chemistry and Physics, Vol 18, Pp 12105-12121 (2018)
In a context of global climate change, the understanding of the radiative role of clouds is crucial. On average, ice clouds such as cirrus have a significant positive radiative effect, but under some conditions the effect may be negative. However,
Externí odkaz:
https://doaj.org/article/b108e71e0d094c388526563ddc189e0a
Autor:
B. H. Kahn, G. Matheou, Q. Yue, T. Fauchez, E. J. Fetzer, M. Lebsock, J. Martins, M. M. Schreier, K. Suzuki, J. Teixeira
Publikováno v:
Atmospheric Chemistry and Physics, Vol 17, Pp 9451-9468 (2017)
The global-scale patterns and covariances of subtropical marine boundary layer (MBL) cloud fraction and spatial variability with atmospheric thermodynamic and dynamic fields remain poorly understood. We describe an approach that leverages coincide
Externí odkaz:
https://doaj.org/article/5d7316daabb745858f40bc0b452efb37
Publikováno v:
Atmospheric Chemistry and Physics, Vol 17, Pp 8489-8508 (2017)
This paper presents a study on the impact of cirrus cloud heterogeneities on MODIS simulated thermal infrared (TIR) brightness temperatures (BTs) at the top of the atmosphere (TOA) as a function of spatial resolution from 50 m to 10 km. A realisti
Externí odkaz:
https://doaj.org/article/4feae426bae84861846e5e171e4cb441
Publikováno v:
Atmospheric Measurement Techniques, Vol 8, Iss 2, Pp 633-647 (2015)
This paper presents a study, based on simulations, of the impact of cirrus cloud heterogeneities on the retrieval of cloud parameters (optical thickness and effective diameter) for the Imaging Infrared Radiometer (IIR) on board CALIPSO. Cirrus clouds
Externí odkaz:
https://doaj.org/article/d83d0a67b3354f8ea7c1712ec70de583
Publikováno v:
Geoscientific Model Development, Vol 7, Iss 4, Pp 1779-1801 (2014)
The 3DCLOUD algorithm for generating stochastic three-dimensional (3-D) cloud fields is described in this paper. The generated outputs are 3-D optical depth (τ) for stratocumulus and cumulus fields and 3-D ice water content (IWC) for cirrus clouds.
Externí odkaz:
https://doaj.org/article/86cc60ed9d2d499f9ba75c96131689b4
Publikováno v:
Atmospheric Chemistry and Physics, Vol 14, Iss 11, Pp 5599-5615 (2014)
This paper presents a study of the impact of cirrus cloud heterogeneities on the thermal infrared brightness temperatures at the top of the atmosphere (TOA). Realistic 3-D cirri are generated by a cloud generator based on simplified thermodynamic and
Externí odkaz:
https://doaj.org/article/9933443558fc462bb1c34f515d0ba7e4
Akademický článek
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This paper presents a study, based on simulations, of the impact of cirrus cloud heterogeneities on the retrieval of cloud parameters (optical thickness and effective diameter) for the Imaging Infrared Radiometer (IIR) on board CALIPSO. Cirrus clouds
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8acd6b9db632f7e623b6434227f1205
https://doi.org/10.5194/amtd-7-8777-2014
https://doi.org/10.5194/amtd-7-8777-2014
The 3DCLOUD algorithm for generating stochastic three-dimensional (3-D) cloud fields is described in this paper. The generated outputs are 3-D optical depth (τ) for stratocumulus and cumulus fields and 3-D ice water content (IWC) for cirrus clouds.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6b5c19f46d1a10ff667b13bdfbe7339
https://doi.org/10.5194/gmdd-7-295-2014
https://doi.org/10.5194/gmdd-7-295-2014
Autor:
J. Hanuš, J. Ďurech, D. A. Oszkiewicz, R. Behrend, B. Carry, M. Delbo, O. Adam, V. Afonina, R. Anquetin, P. Antonini, L. Arnold, M. Audejean, P. Aurard, M. Bachschmidt, B. Baduel, E. Barbotin, P. Barroy, P. Baudouin, L. Berard, N. Berger, L. Bernasconi, J-G. Bosch, S. Bouley, I. Bozhinova, J. Brinsfield, L. Brunetto, G. Canaud, J. Caron, F. Carrier, G. Casalnuovo, S. Casulli, M. Cerda, L. Chalamet, S. Charbonnel, B. Chinaglia, A. Cikota, F. Colas, J.-F. Coliac, A. Collet, J. Coloma, M. Conjat, E. Conseil, R. Costa, R. Crippa, M. Cristofanelli, Y. Damerdji, A. Debackère, A. Decock, Q. Déhais, T. Déléage, S. Delmelle, C. Demeautis, M. Dróżdż, G. Dubos, T. Dulcamara, M. Dumont, R. Durkee, R. Dymock, A. Escalante del Valle, N. Esseiva, R. Esseiva, M. Esteban, T. Fauchez, M. Fauerbach, M. Fauvaud, S. Fauvaud, E. Forné, C. Fournel, D. Fradet, J. Garlitz, O. Gerteis, C. Gillier, M. Gillon, R. Giraud, J.-P. Godard, R. Goncalves, Hiroko Hamanowa, Hiromi Hamanowa, K. Hay, S. Hellmich, S. Heterier, D. Higgins, R. Hirsch, G. Hodosan, M. Hren, A. Hygate, N. Innocent, H. Jacquinot, S. Jawahar, E. Jehin, L. Jerosimic, A. Klotz, W. Koff, P. Korlevic, E. Kosturkiewicz, P. Krafft, Y. Krugly, F. Kugel, O. Labrevoir, J. Lecacheux, M. Lehký, A. Leroy, B. Lesquerbault, M. J. Lopez-Gonzales, M. Lutz, B. Mallecot, J. Manfroid, F. Manzini, A. Marciniak, A. Martin, B. Modave, R. Montaigut, J. Montier, E. Morelle, B. Morton, S. Mottola, R. Naves, J. Nomen, J. Oey, W. Ogłoza, M. Paiella, H. Pallares, A. Peyrot, F. Pilcher, J.-F. Pirenne, P. Piron, M. Polińska, M. Polotto, R. Poncy, J. P. Previt, F. Reignier, D. Renauld, D. Ricci, F. Richard, C. Rinner, V. Risoldi, D. Robilliard, D. Romeuf, G. Rousseau, R. Roy, J. Ruthroff, P. A. Salom, L. Salvador, S. Sanchez, T. Santana-Ros, A. Scholz, G. Séné, B. Skiff, K. Sobkowiak, P. Sogorb, F. Soldán, A. Spiridakis, E. Splanska, S. Sposetti, D. Starkey, R. Stephens, A. Stiepen, R. Stoss, J. Strajnic, J.-P. Teng, G. Tumolo, A. Vagnozzi, B. Vanoutryve, J. M. Vugnon, B. D. Warner, M. Waucomont, O. Wertz, M. Winiarski, M. Wolf
Publikováno v:
Astronomy and Astrophysics-A&A
Astronomy and Astrophysics-A&A, 2016, 586, pp.A108. ⟨10.1051/0004-6361/201527441⟩
Astronomy and Astrophysics-A&A, EDP Sciences, 2016, 586, pp.A108. ⟨10.1051/0004-6361/201527441⟩
Digital.CSIC. Repositorio Institucional del CSIC
instname
Astronomy and Astrophysics-A&A, 2016, 586, pp.A108. ⟨10.1051/0004-6361/201527441⟩
Astronomy and Astrophysics-A&A, EDP Sciences, 2016, 586, pp.A108. ⟨10.1051/0004-6361/201527441⟩
Digital.CSIC. Repositorio Institucional del CSIC
instname
Context. Asteroid modeling efforts in the last decade resulted in a comprehensive dataset of almost 400 convex shape models and their rotation states. These efforts already provided deep insight into physical properties of main-belt asteroids or larg