Emergent Constraints for Cloud Feedbacks

Computing and Partitioning Cloud Feedbacks using Cloud

7 Cloud radiative kernels and histograms of cloud fraction, both as functions of cloud 8 top pressure and optical depth, are used to quantify cloud amount, cloud height and cloud 9 optical depth feedbacks. The analysis is applied to doubled CO2 slab-ocean simulations 10 from ten global climate models participating in the Cloud Feedback Model Intercomparison 11 Project. In the ensemble mean, tot...

Synthesis of Optimal Feedbacks for Linear Systems under State Constraints

A method of on-line constructing an optimal feedback control for linear systems under state and control constraints is suggested. At first, a fast algorithm of constructing an open-loop control is worked out. It is based on successive correction of the solution to the optimal control problem with intermediate state constraints by changing the location of constraints and introducing additional c...

Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part I: Cloud Radiative Kernels

This study proposes a novel technique for computing cloud feedbacks using histograms of cloud fraction as a joint function of cloud-top pressure (CTP) and optical depth (t). These histograms were generated by the International Satellite Cloud Climatology Project (ISCCP) simulator that was incorporated into doubledCO2 simulations from 11 global climate models in the Cloud Feedback Model Intercom...

Low cloud-SST feedbacks influence tropical Pacific climate variability

Disambiguation and Grammar as Emergent Soft Constraints

When reading a sentence such as "The diplomat threw the ball in the ballpark for the princess" our interpretation changes from a dance event to baseball and back to dance. Such on-line disambiguation happens automatically and appears to be based on dynamically combining the strengths of association between the keywords and the two senses. Subsymbolic neural networks are very good at modeling su...