Littérature scientifique sur le sujet « SOFOG3D »
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Articles de revues sur le sujet "SOFOG3D"
Dione, Cheikh, Martial Haeffelin, Frédéric Burnet, Christine Lac, Guylaine Canut, Julien Delanoë, Jean-Charles Dupont et al. « Role of thermodynamic and turbulence processes on the fog life cycle during SOFOG3D experiment ». Atmospheric Chemistry and Physics 23, no 24 (21 décembre 2023) : 15711–31. http://dx.doi.org/10.5194/acp-23-15711-2023.
Texte intégralMarquet, Pascal, Pauline Martinet, Jean-François Mahfouf, Alina Lavinia Barbu et Benjamin Ménétrier. « Towards the use of conservative thermodynamic variables in data assimilation : a case study using ground-based microwave radiometer measurements ». Atmospheric Measurement Techniques 15, no 7 (5 avril 2022) : 2021–35. http://dx.doi.org/10.5194/amt-15-2021-2022.
Texte intégralMartinet, Pauline, Domenico Cimini, Frédéric Burnet, Benjamin Ménétrier, Yann Michel et Vinciane Unger. « Improvement of numerical weather prediction model analysis during fog conditions through the assimilation of ground-based microwave radiometer observations : a 1D-Var study ». Atmospheric Measurement Techniques 13, no 12 (7 décembre 2020) : 6593–611. http://dx.doi.org/10.5194/amt-13-6593-2020.
Texte intégralFalandry, C., I. Krakowski, H. Curé, E. Carola, P. Soubeyran, O. Guérin et G. Freyer. « Trends in G-CSF Use in Geriatric Oncology : 2011 Afsos Sofog Survey ». Annals of Oncology 23 (septembre 2012) : ix501—ix502. http://dx.doi.org/10.1016/s0923-7534(20)34186-7.
Texte intégralBengrine, Leila, Naoual Bakrin, Frédérique Rousseau, Vincent Lavoué et Claire Falandry. « Multi-Disciplinary Care Planning of Ovarian Cancer in Older Patients : General Statement—A Position Paper from SOFOG-GINECO-FRANCOGYN-SFPO ». Cancers 14, no 5 (2 mars 2022) : 1295. http://dx.doi.org/10.3390/cancers14051295.
Texte intégralAparicio, Thomas, Florence Canouï-Poitrine, Philippe Caillet, Eric François, Tristan Cudennec, Elisabeth Carola, Gilles Albrand et al. « Treatment guidelines of metastatic colorectal cancer in older patients from the French Society of Geriatric Oncology (SoFOG) ». Digestive and Liver Disease 52, no 5 (mai 2020) : 493–505. http://dx.doi.org/10.1016/j.dld.2019.12.145.
Texte intégralGreillier, Laurent, Manon Gauvrit, Elena Paillaud, Nicolas Girard, Coline Montégut, Rabia Boulahssass, Marie Wislez et al. « Targeted Therapy for Older Patients with Non-Small Cell Lung Cancer : Systematic Review and Guidelines from the French Society of Geriatric Oncology (SoFOG) and the French-Language Society of Pulmonology (SPLF)/French-Language Oncology Group (GOLF) ». Cancers 14, no 3 (2 février 2022) : 769. http://dx.doi.org/10.3390/cancers14030769.
Texte intégralBell, Alistair, Pauline Martinet, Olivier Caumont, Frédéric Burnet, Julien Delanoë, Susana Jorquera, Yann Seity et Vinciane Unger. « An optimal estimation algorithm for the retrieval of fog and low cloud thermodynamic and micro-physical properties ». Atmospheric Measurement Techniques 15, no 18 (26 septembre 2022) : 5415–38. http://dx.doi.org/10.5194/amt-15-5415-2022.
Texte intégralFalandry, Claire, Ivan Krakowski, Hervé Curé, Elisabeth Carola, Pierre Soubeyran, Olivier Guérin, Hélène Gaudin et Gilles Freyer. « Impact of geriatric assessment for the therapeutic decision-making of breast cancer : results of a French survey. AFSOS and SOFOG collaborative work ». Breast Cancer Research and Treatment 168, no 2 (14 décembre 2017) : 433–41. http://dx.doi.org/10.1007/s10549-017-4607-8.
Texte intégralBeauplet, Bérengère, Ophélie Soulie, Jean-Yves Niemier, Cécile Pons-Peyneau, Drifa Belhadi, Camille Couffignal et Virginie Fossey-Diaz. « Dealing with the lack of evidence to treat depression in older patients with cancer : French Societies of Geriatric Oncology (SOFOG) and PsychoOncology (SFFPO) position paper based on a systematic review ». Supportive Care in Cancer 29, no 2 (1 septembre 2020) : 563–71. http://dx.doi.org/10.1007/s00520-020-05682-9.
Texte intégralThèses sur le sujet "SOFOG3D"
Costabloz, Théophane. « Profils verticaux des propriétés microphysiques du brouillard et leur évolution au cours de son cycle de vie ». Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSEP068.
Texte intégralFog is a difficult phenomenon to forecast due to its limited vertical extent and the complex interactions between radiative, microphysical, turbulent and dynamic processes driving its life cycle. Despite increasing developments in remote sensing techniques, the microphysical properties of the fog vertical structure remain poorly documented. This thesis aims to characterize the evolution of the vertical profile of the fog microphysical properties and the main processes driving its life cycle, using a unique data set.The SOFOG3D campaign was conducted in southwest France during the winter of 2019/2020, with an innovative instrumental set-up, combining remote sensing measurements (microwave radiometer and cloud radar) and in situ measurements at ground level and under a tethered balloon. Of the 30 fog episodes sampled at the super-site, mainly radiative and radiative-advective fogs, 18 episodes were validated on the basis of visibility measurements. Analysis of their microphysical properties at ground level revealed low droplet concentrations (median between 20 and 40 cm-3). In addition, the droplet size distributions were mostly bimodal, with large diameters, particularly for radiative-advective episodes.In situ observations collected under a tethered balloon highlighted a combined evolution of the vertical microphysical and thermodynamic properties, based on 140 vertical profiles collected during 8 thin fog episodes (thickness < 50 m) and 4 thick fogs. After fog formation, when it is optically thin, i.e. transparent to infrared radiation, thermally stable conditions are associated with a reversed profile of liquid water content, with maximum values at ground level decreasing with height. After the transition to optically thick fog, when it occurs, quasi-adiabatic features are observed (liquid water profiles increasing with height and slightly unstable temperature profiles).These in situ observations were compared with the equivalent adiabaticity, derived from the conceptual model of Toledo et al (2021), based on remote sensing measurements and surface observations. The comparison shows satisfactory agreement between the two approaches, with the exception of very thin fogs, where the equivalent adiabaticity is underestimated compared with local adiabaticity, derived from in situ measurements, using an original regression method.Decreasing liquid water profiles in optically thin fogs are associated with decreasing droplet diameters with height, low concentrations and a dominant mode of large droplets near the ground. For optically very thin fogs (<20 m), maximum concentrations are observed near the ground, indicating a predominant droplet production at the surface, following radiative cooling. In optically thick fogs, droplet content and concentration increase with height, illustrating the importance of condensation growth. In addition, we find areas of higher concentration of small droplets near the top, resulting probably from aerosol activation. These droplets then settle towards the lower layers and grow by collision-coalescence, leading to the formation of large droplets (> 30 µm) at ground level, associated with a bimodal distribution. Finally, the distribution becomes monomodal when the fog dissipates into stratus. This new knowledge of the evolution of the fog microphysical properties during its life cycle make it possible to evaluate and improve the microphysical schemes in numerical models