Predicting the cloud patterns of the Madden-Julian Oscillation through a low-order nonlinear stochastic model
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Predicting the cloud patterns of the Madden-Julian Oscillation through a low-order nonlinear stochastic model
Authors
Keywords
-
Journal
GEOPHYSICAL RESEARCH LETTERS
Volume 41, Issue 15, Pages 5612-5619
Publisher
American Geophysical Union (AGU)
Online
2014-07-31
DOI
10.1002/2014gl060876
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Reemergence Mechanisms for North Pacific Sea Ice Revealed through Nonlinear Laplacian Spectral Analysis*
- (2014) Mitchell Bushuk et al. JOURNAL OF CLIMATE
- Symmetric and Antisymmetric Convection Signals in the Madden–Julian Oscillation. Part I: Basic Modes in Infrared Brightness Temperature
- (2014) Wen-wen Tung et al. JOURNAL OF THE ATMOSPHERIC SCIENCES
- Cracking the MJO nut
- (2013) Chidong Zhang et al. GEOPHYSICAL RESEARCH LETTERS
- Low-order stochastic model and “past-noise forecasting” of the Madden-Julian Oscillation
- (2013) D. Kondrashov et al. GEOPHYSICAL RESEARCH LETTERS
- An ensemble Kalman filter for statistical estimation of physics constrained nonlinear regression models
- (2013) John Harlim et al. JOURNAL OF COMPUTATIONAL PHYSICS
- A Stochastic Skeleton Model for the MJO
- (2013) Sulian Thual et al. JOURNAL OF THE ATMOSPHERIC SCIENCES
- A Comparison of OLR and Circulation-Based Indices for Tracking the MJO
- (2013) George N. Kiladis et al. MONTHLY WEATHER REVIEW
- Comparing low-frequency and intermittent variability in comprehensive climate models through nonlinear Laplacian spectral analysis
- (2012) Dimitrios Giannakis et al. GEOPHYSICAL RESEARCH LETTERS
- MJO Initiation in the Real-Time Multivariate MJO Index
- (2012) Katherine H. Straub JOURNAL OF CLIMATE
- Physics constrained nonlinear regression models for time series
- (2012) Andrew J Majda et al. NONLINEARITY
- Nonlinear Laplacian spectral analysis for time series with intermittency and low-frequency variability
- (2012) D. Giannakis et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Nonlinear Laplacian spectral analysis: capturing intermittent and low-frequency spatiotemporal patterns in high-dimensional data
- (2012) Dimitrios Giannakis et al. Statistical Analysis and Data Mining
- Nonlinear Dynamics and Regional Variations in the MJO Skeleton
- (2011) Andrew J. Majda et al. JOURNAL OF THE ATMOSPHERIC SCIENCES
- Improving model fidelity and sensitivity for complex systems through empirical information theory
- (2011) A. J. Majda et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- A Framework for Assessing Operational Madden–Julian Oscillation Forecasts
- (2010) J. Gottschalck et al. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
- Assessment of MJO Predictability for Boreal Winter with Various Statistical and Dynamical Models
- (2010) In-Sik Kang et al. JOURNAL OF CLIMATE
- Quantifying uncertainty in climate change science through empirical information theory
- (2010) A. J. Majda et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Simulation of the Madden- Julian Oscillation and its teleconnections in the ECMWF forecast system
- (2010) Frédéric Vitart et al. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
- The skeleton of tropical intraseasonal oscillations
- (2009) A. J. Majda et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Evaluation of MJO Forecast Skill from Several Statistical and Dynamical Forecast Models
- (2008) Kyong-Hwan Seo et al. JOURNAL OF CLIMATE
- Assessing the Skill of an All-Season Statistical Forecast Model for the Madden–Julian Oscillation
- (2008) Xianan Jiang et al. MONTHLY WEATHER REVIEW
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now