Estimating Climate Feedbacks Using a Neural Network

[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 .