Estimating Climate Feedbacks Using a Neural Network
暂无分享,去创建一个
Haikun Wei | Tingting Zhu | Yi Huang | Yi Huang | Haikun Wei | Tingting Zhu | Yi Huang | Tingting Zhu
[1] Alan Robock,et al. Global cooling after the eruption of Mount Pinatubo: a test of climate feedback by water vapor. , 2002, Science.
[2] J. Thepaut,et al. The ERA‐Interim reanalysis: configuration and performance of the data assimilation system , 2011 .
[3] Stephen Grossberg,et al. Nonlinear neural networks: Principles, mechanisms, and architectures , 1988, Neural Networks.
[4] S. Bony,et al. On the interpretation of inter-model spread in CMIP5 climate sensitivity estimates , 2013, Climate Dynamics.
[5] Yan Xia,et al. On the pattern of CO2 radiative forcing and poleward energy transport , 2017 .
[6] James J. Hack,et al. Radiative and Dynamical Feedbacks over the Equatorial Cold Tongue: Results from Nine Atmospheric GCMs , 2005 .
[7] A. Dessler,et al. A Determination of the Cloud Feedback from Climate Variations over the Past Decade , 2010, Science.
[8] B. Soden,et al. WATER VAPOR FEEDBACK AND GLOBAL WARMING 1 , 2003 .
[9] Mohsen Hayati,et al. Multilayer perceptron neural networks with novel unsupervised training method for numerical solution of the partial differential equations , 2009, Appl. Soft Comput..
[10] Maziar Bani Shahabadi,et al. Why logarithmic? A note on the dependence of radiative forcing on gas concentration , 2014 .
[11] Stephen A. Klein,et al. Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part I: Cloud Radiative Kernels , 2012 .
[12] B. Soden,et al. An Assessment of Climate Feedbacks in Coupled Ocean–Atmosphere Models , 2006 .
[13] D. Chalikov,et al. New Approach to Calculation of Atmospheric Model Physics: Accurate and Fast Neural Network Emulation of Longwave Radiation in a Climate Model , 2005 .
[14] A. Hall. The role of surface albedo feedback in climate , 2004 .
[15] Yi Huang. On the Longwave Climate Feedbacks , 2013 .
[16] Clive D Rodgers,et al. Inverse Methods for Atmospheric Sounding: Theory and Practice , 2000 .
[17] Xiuhong Chen,et al. Observation-Based Longwave Cloud Radiative Kernels Derived from the A-Train , 2016 .
[18] S. Manabe,et al. Cloud Feedback Processes in a General Circulation Model , 1988 .
[19] Yi Huang,et al. Observed and simulated seasonal co‐variations of outgoing longwave radiation spectrum and surface temperature , 2008 .
[20] Karen M. Shell,et al. Using the Radiative Kernel Technique to Calculate Climate Feedbacks in NCAR's Community Atmospheric Model , 2008 .
[21] Fei Huang,et al. Brief Introduction of Back Propagation (BP) Neural Network Algorithm and Its Improvement , 2012 .
[22] Tianjun Zhou,et al. Uncertainty in the 2°C warming threshold related to climate sensitivity and climate feedback , 2015, Journal of Meteorological Research.
[23] John F. B. Mitchell,et al. Intercomparison and interpretation of climate feedback processes in 19 atmospheric general circulation models , 1990 .
[24] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[25] Brian J. Soden,et al. Quantifying Climate Feedbacks Using Radiative Kernels , 2008 .
[26] Yi Huang,et al. The implication of radiative forcing and feedback for meridional energy transport , 2014 .
[27] Maziar Bani Shahabadi,et al. Logarithmic radiative effect of water vapor and spectral kernels , 2014 .