Advances in Meteorology

Climate Variability and Predictability at Various Time Scales


Publishing date
24 Aug 2012
Status
Published
Submission deadline
06 Apr 2012

Lead Editor
Guest Editors

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

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/amet/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2012
  • - Article ID 857831
  • - Editorial

Climate Variability and Predictability at Various Time Scales

Youmin Tang | Soon-Il An | Wansuo Duan
  • Special Issue
  • - Volume 2012
  • - Article ID 213743
  • - Research Article

Ocean Cooling Pattern at the Last Glacial Maximum

Kelin Zhuang | John R. Giardino
  • Special Issue
  • - Volume 2012
  • - Article ID 953853
  • - Research Article

Relationship of Sahel Precipitation and Atmospheric Centers of Action

Sultan Hameed | Nicole Riemer
  • Special Issue
  • - Volume 2012
  • - Article ID 359164
  • - Research Article

Some Factors That Influence Seasonal Precipitation in Argentinean Chaco

Marcela Hebe González | María Laura Cariaga | María de los Milagros Skansi
  • Special Issue
  • - Volume 2012
  • - Article ID 725343
  • - Research Article

Estimation of Natural Variability and Detection of Anthropogenic Signal in Summertime Precipitation over South America

Stefanie Talento | Marcelo Barreiro
  • Special Issue
  • - Volume 2012
  • - Article ID 505613
  • - Research Article

Arctic Climate Variability and Trends from Satellite Observations

Xuanji Wang | Jeffrey Key | ... | Mark Tschudi
  • Special Issue
  • - Volume 2012
  • - Article ID 562081
  • - Research Article

The Sensitivity Analysis of a Lake Ecosystem with the Conditional Nonlinear Optimal Perturbation Method

Bo Wang | Peijun Zhang | ... | Qianqian Qi
Advances in Meteorology
 Journal metrics
Acceptance rate43%
Submission to final decision120 days
Acceptance to publication49 days
CiteScore1.630
Impact Factor1.577
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