Climate Variability and Predictability at Various Time Scales
1Environmental Science and Engineering, University of Northern British Columbia, BC, Canada V2N 4Z9
2Department of Atmospheric Sciences, Yonsei University, Seoul 120-749, Republic of Korea
3State Key Laboratory of Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100864, China
Climate Variability and Predictability at Various Time Scales
Description
Climate variability and predictability is a core component of climate dynamics. Recent advances in climate sciences have introduced new theories and technologies in detecting, diagnosing, analyzing, and predicting the climate variability on various time scales ranging from intraseasonal, seasonal, interannual, and decadal-interdecadal time scales.
We invite researchers to contribute original research articles as well as review articles that will stimulate the continuing efforts to understand and predict climate variability on various time scales. Results from observation diagnostic, modeling, model intercomparison, and theoretical approaches are all welcome. Potential topics include, but are not limited to:
- Modeling and diagnosing climate variability on various time scales using either observations or models, or both, such as MJO (Madden-Julian Oscillation), AO (Artic Oscillation), ENSO (El Nino and Southern Oscillation), IOD (Indian Ocean Dipole), PDO (Pacific Decadal Oscillation), and AMO (Atlantic Multidecadal Oscillation)
- Predicting climate variability on various time scales and studying potential predictability of the earth system. Especially welcome are the contributions on ensemble and initialization techniques, forecast verification and skill assessment, and also the assessment of prediction uncertainty, the measure of potential predictability, and the estimate of the linear and nonlinear optimal growth of prediction errors
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