Works matching AU Brient, Florent

Results: 25
    1

    Climate goals and computing the future of clouds.

    Published in:
    Nature Climate Change, 2017, v. 7, n. 1, p. 3, doi. 10.1038/nclimate3190
    By:
    • Schneider, Tapio;
    • Teixeira, João;
    • Bretherton, Christopher S.;
    • Brient, Florent;
    • Pressel, Kyle G.;
    • Schär, Christoph;
    • Siebesma, A. Pier
    Publication type:
    Article
    2

    Evaluation of cloud and water vapor simulations in CMIP5 climate models using NASA 'A-Train' satellite observations.

    Published in:
    Journal of Geophysical Research. Atmospheres, 2012, v. 117, n. D14, p. n/a, doi. 10.1029/2011JD017237
    By:
    • Jiang, Jonathan H.;
    • Su, Hui;
    • Zhai, Chengxing;
    • Perun, Vincent S.;
    • Del Genio, Anthony;
    • Nazarenko, Larissa S.;
    • Donner, Leo J.;
    • Horowitz, Larry;
    • Seman, Charles;
    • Cole, Jason;
    • Gettelman, Andrew;
    • Ringer, Mark A.;
    • Rotstayn, Leon;
    • Jeffrey, Stephen;
    • Wu, Tongwen;
    • Brient, Florent;
    • Dufresne, Jean-Louis;
    • Kawai, Hideaki;
    • Koshiro, Tsuyoshi;
    • Watanabe, Masahiro
    Publication type:
    Article
    3

    On structural errors in emergent constraints.

    Published in:
    Earth System Dynamics Discussions, 2021, p. 1, doi. 10.5194/esd-2020-85
    By:
    • Sanderson, Benjamin M.;
    • Pendergrass, Angeline;
    • Koven, Charles D.;
    • Brient, Florent;
    • Booth, Ben B. B.;
    • Fisher, Rosie A.;
    • Knutti, Reto
    Publication type:
    Article
    4

    The potential for structural errors in emergent constraints.

    Published in:
    Earth System Dynamics, 2021, v. 12, n. 3, p. 899, doi. 10.5194/esd-12-899-2021
    By:
    • Sanderson, Benjamin M.;
    • Pendergrass, Angeline G.;
    • Koven, Charles D.;
    • Brient, Florent;
    • Booth, Ben B. B.;
    • Fisher, Rosie A.;
    • Knutti, Reto
    Publication type:
    Article
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    Process‐Based Climate Model Development Harnessing Machine Learning: I. A Calibration Tool for Parameterization Improvement.

    Published in:
    Journal of Advances in Modeling Earth Systems, 2021, v. 13, n. 3, p. 1, doi. 10.1029/2020MS002217
    By:
    • Couvreux, Fleur;
    • Hourdin, Frédéric;
    • Williamson, Daniel;
    • Roehrig, Romain;
    • Volodina, Victoria;
    • Villefranque, Najda;
    • Rio, Catherine;
    • Audouin, Olivier;
    • Salter, James;
    • Bazile, Eric;
    • Brient, Florent;
    • Favot, Florence;
    • Honnert, Rachel;
    • Lefebvre, Marie‐Pierre;
    • Madeleine, Jean‐Baptiste;
    • Rodier, Quentin;
    • Xu, Wenzhe
    Publication type:
    Article
    10
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    CGILS: Results from the first phase of an international project to understand the physical mechanisms of low cloud feedbacks in single column models.

    Published in:
    Journal of Advances in Modeling Earth Systems, 2013, v. 5, n. 4, p. 826, doi. 10.1002/2013MS000246
    By:
    • Zhang, Minghua;
    • Bretherton, Christopher S.;
    • Blossey, Peter N.;
    • Austin, Phillip H.;
    • Bacmeister, Julio T.;
    • Bony, Sandrine;
    • Brient, Florent;
    • Cheedela, Suvarchal K.;
    • Cheng, Anning;
    • Genio, Anthony D.;
    • Roode, Stephan R.;
    • Endo, Satoshi;
    • Franklin, Charmaine N.;
    • Golaz, Jean‐Christophe;
    • Hannay, Cecile;
    • Heus, Thijs;
    • Isotta, Francesco Alessandro;
    • Dufresne, Jean‐Louis;
    • Kang, In‐Sik;
    • Kawai, Hideaki
    Publication type:
    Article
    13
    14

    The Cloud Feedback Model Intercomparison Project (CFMIP) Diagnostic Codes Catalogue - metrics, diagnostics and methodologies to evaluate, understand and improve the representation of clouds and cloud feedbacks in climate models.

    Published in:
    Geoscientific Model Development Discussions, 2017, p. 1, doi. 10.5194/gmd-2017-69
    By:
    • Yoko Tsushima;
    • Brient, Florent;
    • Klein, Stephen A.;
    • Konsta, Dimitra;
    • Nam, Christine;
    • Xin Qu;
    • Williams, Keith D.;
    • Sherwood, Steven C.;
    • Kentaroh Suzuki;
    • Zelinka, Mark D.
    Publication type:
    Article
    15

    The Cloud Feedback Model Intercomparison Project (CFMIP) Diagnostic Codes Catalogue - metrics, diagnostics and methodologies to evaluate, understand and improve the representation of clouds and cloud feedbacks in climate models.

    Published in:
    Geoscientific Model Development, 2017, v. 10, n. 11, p. 4285, doi. 10.5194/gmd-10-4285-2017
    By:
    • Yoko Tsushima;
    • Brient, Florent;
    • Klein, Stephen A.;
    • Konsta, Dimitra;
    • Nam, Christine C.;
    • Xin Qu;
    • Williams, Keith D.;
    • Sherwood, Steven C.;
    • Suzuki, Kentaroh;
    • Zelinka, Mark D.
    Publication type:
    Article
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