Accelerating progress in climate science
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[1] Alexander Smits,et al. Wall-bounded turbulence , 2013 .
[2] Valerio Lucarini,et al. Mathematical and physical ideas for climate science , 2013, 1311.1190.
[3] Clouds and Their Effects on the Climate System , 1994 .
[4] Derek J. Posselt,et al. Confronting the Challenge of Modeling Cloud and Precipitation Microphysics , 2020, Journal of advances in modeling earth systems.
[5] Petros Koumoutsakos,et al. Machine Learning for Fluid Mechanics , 2019, Annual Review of Fluid Mechanics.
[6] Heather Graven,et al. The carbon cycle in a changing climate , 2016 .
[7] Chris Hope,et al. The $10 trillion value of better information about the transient climate response , 2015, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[8] Tapio Schneider,et al. Calibrate, emulate, sample , 2020, J. Comput. Phys..
[9] W. Verhoef,et al. Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress. , 2019, Remote sensing of environment.
[10] M. Maslin. Tying celestial mechanics to Earth’s ice ages , 2020, Physics Today.
[11] Alexander J. Winkler,et al. Earth system models underestimate carbon fixation by plants in the high latitudes , 2019, Nature Communications.
[12] Pierre Friedlingstein,et al. Carbon–concentration and carbon–climate feedbacks in CMIP6 models and their comparison to CMIP5 models , 2020 .
[13] B. Otto‐Bliesner,et al. Past climates inform our future , 2020, Science.
[14] Andrew M. Stuart,et al. Inverse problems: A Bayesian perspective , 2010, Acta Numerica.
[15] J. Pal,et al. Future temperature in southwest Asia projected to exceed a threshold for human adaptability , 2016 .
[16] Steven L. Brunton,et al. Data-driven discovery of partial differential equations , 2016, Science Advances.
[17] Joachim Denzler,et al. Deep learning and process understanding for data-driven Earth system science , 2019, Nature.
[18] K. Taylor,et al. Causes of Higher Climate Sensitivity in CMIP6 Models , 2020, Geophysical Research Letters.
[19] Renate Hagedorn,et al. Representing model uncertainty in weather and climate prediction , 2005 .
[20] A. P. Siebesma,et al. Climate goals and computing the future of clouds , 2017 .
[21] Andrew Stuart,et al. Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High‐Resolution Simulations , 2017, 1709.00037.
[22] T. Keenan,et al. The Terrestrial Carbon Sink , 2018, Annual Review of Environment and Resources.
[23] A. O'Hagan,et al. Bayesian calibration of computer models , 2001 .