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Models, Algorithms, and Applications in Climatic Signal Processing

Call for Papers

Climate change is now widely recognized as the major problem facing human societies. Its impacts and costs will be large, serious, and unevenly spread. Due to the observed increases in temperature, decreases in snow and ice extent, and increases in sea level, global warming is unequivocal. Therefore, climatic signal processing has become a hot forefront field in signal processing. In the recent ten years, various tools and methods in signal processing, such as time-frequency analysis, statistical analysis, and filtering, are being applied widely in the research of climatic signals; for example, Fourier analysis and wavelet analysis are used to discover significant periods of climatic signals and assess abrupt climate change; the key climate change index Arctic Oscillation is just the leading mode of empirical orthogonal function analysis of monthly mean 1000mb height.

This special issue will focus on latest research advances in models, algorithms, and applications in climatic signal processing. We invite investigators to contribute to this special issue with original research articles, review articles, and case studies.

Potential topics include, but are not limited to:

  • Trend analysis of climate change
  • Assessment of abrupt climate change
  • Wavelet analysis and multiresolution analysis of climatic signals
  • HHT analysis of climatic signals
  • Feature extraction and significance test of climatic signals
  • Kalman filter and climatic data assimilation
  • Climatic change prediction and numerical weather prediction
  • ARMA models and modeling of climate change
  • Casual relation between climatic signals
  • Principal component analysis (or empirical orthogonal function analysis) of climatic signals
  • Singular spectrum analysis of climatic signals
  • Fusion of climatic data sources
  • Bayesian decision method for climatic signal analysis
  • Frequency of climatic extreme events
  • Climatic background noise
  • Analysis on CMIP5 data
Manuscript DueFriday, 3 October 2014
First Round of ReviewsFriday, 26 December 2014
Publication DateFriday, 20 February 2015

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