Prediction of the Madden–Julian oscillation with the POAMA dynamical prediction system

By H. Rashid, H. Hendon, M. Wheeler, O. Alves. 2011

240 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/54949731dda754b6503933bc4d6c9aef28d56c7f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Chidong Zhang
2. F. Vitart
3. Duane Waliser
4. E. Maloney
5. M. Wheeler
6. K. Straub
7. H. Hendon
8. Xianan Jiang

In Global and Planetary Change

1. Chidong Zhang
2. Duane Waliser
3. F. Vitart
4. E. Maloney
5. M. Wheeler
6. K. Straub
7. Xianan Jiang
8. Bin Wang

In Oceanography

1. Chidong Zhang
2. F. Vitart
3. Duane Waliser
4. M. Wheeler
5. E. Maloney
6. Bin Wang
7. K. Straub
8. O. Alves

Citations in the corpus

• Predictability of the Madden–Julian Oscillation in the Intraseasonal Variability Hindcast Experiment (ISVHE)* (2014, background): “Specifically, the studies by Vitart and Molteni (2010), Rashid et al. (2011), Seo et al. (2009), and Kang and Kim (2010) have shown that skillful prediction of the boreal winter MJO can be made up to 2–3 weeks in advance.”
• Bridging the gap between weather and seasonal forecasting: intraseasonal forecasting for Australia (2011, methodology): “The POAMA model is able to simulate reasonably realistic MJO events (Zhang et al., 2006; Marshall et al., 2008) and can predict the largescale structure of the MJO in the Tropics out to about 21 days (measured by the bivariate correlation of an MJO index exceeding 0.5; Rashid et al., 2011).”
• Cracking the MJO nut (2013, methodology): “[11] Madden-Julian oscillation prediction studies using operational dynamical models have increased in recent years [Savage and Milton, 2007; Vitart et al., 2007; Lin et al., 2008; Seo, 2009; Seo et al., 2009; Rashid et al. 2011].”
• A Comparison of OLR and Circulation-Based Indices for Tracking the MJO (2014, background): “This particular index has become standard formonitoring the state of theMJO in real time and inmodels (Lin et al. 2009; Gottschalck et al. 2010; Rashid et al. 2011; Hamill and Kiladis 2014).”
• A Comparison of Dynamical and Statistical Predictions of Weekly Tropical Cyclone Activity in the Southern Hemisphere (2010, methodology): “Here we further examine its skill through computation of the bivariate correlation and root-mean-square error as in Lin et al. (2008) and Rashid et al. (2010).”