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 spellsNature (pdf)(news)(news)
Brient, F., F. Couvreux, C. Rio, and R. Honnert (2024) Coherent subsiding structures in large‐eddy simulations of atmospheric boundary layersQJRMS (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 variabilityAGU 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 modelsJAMES (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 constraintsEarth 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 improvementJAMES (pdf)
Brient, F. (2020) Reducing uncertainties in climate projections with emergent constraints: Concepts, Examples and ProspectsAdv 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 processesAccepté 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 modelJAMES (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 stratocumulusGeophys. Res. Lett. (pdf)
Brient, F., R. Roerhig, and A. Voldoire (2019) Evaluating marine stratocumulus clouds in the CNRM-CM6-1 model using short-term hindcastsJAMES (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 budgetClim. Dyn (pdf)
Cesana, G., K. Suselj, and F. Brient (2017) On the dependence of cloud feedbacks on physical parameterizations in WRF aquaplanet simulationsGeophys. 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 CatalogueGeosci. Model Dev. Discuss (pdf)
Ceppi, P., F. Brient, M. Zelinka, and D. Hartmann (2017) Cloud feedback mechanisms and their representation in global climate modelsWIREs 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 cloudsNature Clim. Change (pdf)
Brient, F. (2016) Réduire les incertitudes des projections climatiques: le rôle des contraintes émergentesLa 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 modelsGeophys. Res. Lett. (pdf)
Brient, F., and T. Schneider (2016) Constraints on climate sensitivity from observed low-cloud reflectionJournal 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 warmingJ. 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 ModelsJ. 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 warmingClim. 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 modelsJ. 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 observationsJ. Geophys. Res (pdf)