Maître de conférences, sciences de l'atmosphère

Articles

  • Bony S., J.L. Dufresne, F. Brient (2024)
    Contribution du LMD à l’étude du rôle des nuages dans le changement climatique Histoire de la recherche contemporaine
    (pdf)
  • Petrova, I. Y., D. G. Miralles, F. Brient, M. G Donat, S. Min, Y. Kim, M. Bador (2024)
    Observation-constrained projections reveal longer-than-expected dry spells Nature
    (pdf) (news) (news)
  • Brient, F., F. Couvreux, C. Rio, and R. Honnert (2024)
    Coherent subsiding structures in large‐eddy simulations of atmospheric boundary layers QJRMS
    (pdf)
  • Myers, T. A., R. Vogel, F. Brient, H. Parishani, and R. C. Scott (2023)
    Tropical marine low clouds: Feedbacks to warming and on climate variability AGU Monograph "Cloud Physics and Dynamics: Showers and Shade from Earth's Atmosphere"
    (pdf) (book)
  • Saint-Martin, D., O. Geoffroy, A. Voldoire, J. Cattiaux, F. Brient, F. Chauvin, M. Chevallier, B. Decharme, C. Delire, H. Douville, J.-F. Guérémy, E. Joetzjer, A. Ribes, R. Roehrig, L. Terray, and S. Valcke (2021)
    Traceability of climate sensitivity in the CNRM climate models JAMES
    (pdf)
  • Sanderson, B., A. Pendergrass, C. D. Koven, F. Brient, B. B. B. Booth, R. A. Fisher, and R. Knutti (2021)
    The potential for structural errors in emergent constraints Earth System Dynamics
    (pdf)
  • Couvreux, F., F. Hourdin, D. Williamson, R. Roehrig, V. Volodina, N. Villefranque and co-authors (2021)
    Process-based climate model development harnessing Uncertainty Quantification. Part I: a new paradigm for parameterization improvement JAMES
    (pdf)
  • Brient, F. (2020)
    Reducing uncertainties in climate projections with emergent constraints: Concepts, Examples and Prospects Adv Atmos Sci.
    (pdf) (News1) (News2)
  • Risi, C., J. Galewsky, G. Reverdin, and F. Brient (2019)
    Controls on the water vapor isotopic composition near the surface of tropical oceans and role of boundary layer mixing processes Accepté à Atm. Chem. and Phys.
    (pdf)
  • Hourdin, F., A. Jam, C. Rio, F. Couvreux, I. Sandu, M.P. Lefebvre, F. Brient, and A. Idelkadi (2019)
    Unified parameterization of convective boundary layer transport and clouds with the thermal plume model JAMES
    (pdf)
  • Brient, F., F. Couvreux, N. Villefranque, C. Rio, and R. Honnert (2019)
    Object-oriented identification of coherent structures in large-eddy simulations: Importance of downdrafts in stratocumulus Geophys. Res. Lett.
    (pdf)
  • Brient, F., R. Roerhig, and A. Voldoire (2019)
    Evaluating marine stratocumulus clouds in the CNRM-CM6-1 model using short-term hindcasts JAMES
    (pdf)
  • Adam, O., T. Schneider, and F. Brient (2018)
    Relation of seasonal and regional aspects of the double-ITCZ bias in CMIP5 models to the atmospheric energy budget Clim. Dyn
    (pdf)
  • Cesana, G., K. Suselj, and F. Brient (2017)
    On the dependence of cloud feedbacks on physical parameterizations in WRF aquaplanet simulations Geophys. Res. Lett.
    (pdf)
  • Tsushima, Y., F. Brient, S. A. Klein, D. Konsta, C. Nam, X. Qu, K. D. Williams, S. C. Sherwood, K. Suzuki, and M. D. Zelinka (2017)
    The Cloud Feedback Model Intercomparison Project (CFMIP) Diagnostic Codes Catalogue Geosci. Model Dev. Discuss
    (pdf)
  • Ceppi, P., F. Brient, M. Zelinka, and D. Hartmann (2017)
    Cloud feedback mechanisms and their representation in global climate models WIREs Climate Change
    (pdf)
  • Schneider, T., J. Teixeira, C. S. Bretherton, F. Brient, K. G. Pressel, C. Schär, and A. P. Siebesma (2017)
    Climate goals and computing the future of clouds Nature Clim. Change
    (pdf)
  • Brient, F. (2016)
    Réduire les incertitudes des projections climatiques: le rôle des contraintes émergentes La Météorologie
    (pdf)
  • Adam, O., T. Schneider, F. Brient, and T. Bischoff (2016)
    Relation of the double-ITCZ bias to the atmospheric energy budget in climate models Geophys. Res. Lett.
    (pdf)
  • Brient, F., and T. Schneider (2016)
    Constraints on climate sensitivity from observed low-cloud reflection Journal of Climate
    (pdf)
  • Brient, F., T. Schneider, Z. Tan, S. Bony, X. Qu, and A. Hall (2016)
    Shallowness of tropical low clouds as a predictor of climate models' response to warming J. Climate
    (pdf)
  • Zhang, M. H. and 40 co-authors (2013)
    CGILS: First Results from an International Project to Understand the Physical Mechanisms of Low Cloud Feedbacks in General Circulation Models J. Adv. Model. Earth Syst.
    (pdf)
  • Brient, F. and S. Bony (2013)
    Interpretation of the positive low-cloud feedback predicted by a climate model under global warming Clim. Dyn
    (pdf)
  • Brient, F. and S. Bony (2012)
    How may low-cloud radiative properties simulated in the current climate influence low-cloud feedbacks under global warming? Geophys. Res. Lett
    (pdf)
  • Zhang, M., C. S. Bretherton, P. N. Blossey, S. Bony, F. Brient, and J.-C. Golaz (2012)
    The CGILS experimental design to investigate low cloud feedbacks in general circulation models by using single-column and large-eddy simulation models J. Adv. Model. Earth Syst
    (pdf)
  • Jiang, J.H. et 29 co-authors (2012)
    Evaluation of cloud and water vapor simulations in CMIP5 climate models using NASA "A-Train" satellite observations J. Geophys. Res
    (pdf)