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Introduction

  • Vladimir M. Krasnopolsky
Chapter
First Online:
Part of the Atmospheric and Oceanographic Sciences Library book series (ATSL, volume 46)

Abstract

In this chapter, a notion of Earth System (ES) as a complex dynamical system of interacting components (subsystems) is presented and discussed. Weather and climate systems are introduced as subsystems of the ES. It is shown that any subsystem of ES can be considered as a multidimensional relationship or mapping, which is usually complex and nonlinear. Evolution of approaches to ES and its subsystems is discussed, and the neural network (NN) technique as a powerful nonlinear tool for emulating subsystems of ES is introduced. Multiple NN applications, which have been developed in ES sciences, are categorized and briefly reviewed. The chapter contains an extensive list of references giving extended background and further detail to the interested reader on each examined topic.

Keywords

Earth System Neural Network Approach Partial Differential Equation Numerical Weather Prediction Model Neural Network Technique 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer Science+Business Media Dordrecht(outside the USA.) 2013

Authors and Affiliations

  • Vladimir M. Krasnopolsky
    • 1
  1. 1.NOAA Center for Weather and Climate PredictionCamp SpringUSA

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