An All-Season Real-Time Multivariate MJO Index: Development of an Index for Monitoring and Prediction

By M. Wheeler, H. Hendon. 2004

2,855 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/5b29e5e55add850a6968449314dfa9ea820141a9

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. E. Maloney
3. F. Vitart
4. Duane Waliser
5. K. Straub
6. David A. Randall
7. M. Wheeler
8. Daehyun Kim

In Global and Planetary Change

1. Chidong Zhang
2. E. Maloney
3. F. Vitart
4. Duane Waliser
5. David A. Randall
6. K. Straub
7. Daehyun Kim
8. M. Wheeler

Citations in the corpus

• Modulation of South Indian Ocean Tropical Cyclones by the Madden–Julian Oscillation and Convectively Coupled Equatorial Waves (2006, background): “The signal of the MJO in convection and lowlevel winds is as expected (e.g., Sperber 2003; Wheeler and Hendon 2004), with coupled patterns of wind and convection moving slowly eastward.”
• Prediction of the Madden–Julian Oscillation: A Review (2018, methodology): “a. MJO index The most popular index used for MJO prediction studies is the Real-time Multivariate MJO (RMM) index developed by Wheeler and Hendon (2004).”
• MJO and Convectively Coupled Equatorial Waves Simulated by CMIP5 Climate Models (2013, background): “…the equator in boreal winter and spring, when climato-logical convection and warm SST cross the equator (Salby and Hendon 1994; Zhang and Dong 2004; Wheeler and Hendon 2004), and that the boreal summer intraseasonal oscillation (BSIO; e.g., Yasunari 1979; Knutson et al. 1986; Kemball-Cook and…”
• Bridging the gap between weather and seasonal forecasting: intraseasonal forecasting for Australia (2011, methodology): “137: 673–689 (2011) 686 D. Hudson et al. important for Australia, given its direct and remote impacts on tropical and extratropical rainfall (Hendon and Liebmann, 1990; Hall et al., 2001; Wheeler and Hendon, 2004; Risbey et al., 2009; Wheeler et al., 2009).”
• Intraseasonal Variability in an Aquaplanet General Circulation Model (2010, methodology): “The leading EOFs explain 28% and 20% of the JAMES Vol. 2 2010 adv-model-earth-syst.org total variance (Figure 6), respectively, and resemble the leading EOFs in Wheeler and Hendon (2004).”
• Stratospheric control of the Madden-Julian oscillation. (2017, methodology): “Unlike the real-time MJO index (Wheeler and Hendon 2004), this index is solely based on the satellite-derived OLR and more directly discriminates convective signature of the MJO.”
• Changes in the Activity of the Madden–Julian Oscillation during 1958–2004 (2006, background): “2004); 2) empirical orthogonal function (EOF) analysis (e.g., Hendon et al. 1999; Jones et al. 2004d; Kessler 2001; Lau and Chan 1986; Weickmann 1983; Wheeler and Hendon 2004); 3) eastward propagation of contiguous OLR anomalies (Wang and Rui 1990; Jones et al.”
• Prediction of the Madden–Julian oscillation with the POAMA dynamical prediction system (2011, methodology): “Some recent MJO prediction studies (e.g., Vitart et al. 2007; Lin et al. 2008; Seo 2009) have employed variations of the Wheeler-Hendon Realtime Multivariate MJO index (RMM; Wheeler and Hendon 2004; hereafter WH04) for identifying the MJO.”
• Advances in simulating atmospheric variability with the ECMWF model: From synoptic to decadal time‐scales (2008, methodology): “Statistical models suggest that it is an important source of predictability (Wheeler and Weickmann 2001).”
• Tracking Pulses of the Madden–Julian Oscillation (2013, methodology): “This has motivated growing interest in its real-time monitoring (Wheeler and Hendon 2004) and forecasts (Gottschalck et al. 2010).”
• Predictability of Week-3–4 Average Temperature and Precipitation over the Contiguous United States (2017, methodology): “Specifically, the familiar real-time multivariate MJO indices (RMM1 and RMM2) of Wheeler and Hendon (2004) were derived from an EOF analysis of observations, and then the resulting EOF patterns were projected on model variables.”
• Fifty Years of Research on the Madden‐Julian Oscillation: Recent Progress, Challenges, and Perspectives (2020, methodology): “…average) data derived from the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/ NCAR) reanalysis (Kalnay et al., 1996) for extended boreal winter of November to April and the MJO phases are determined from the RMM index of Wheeler and Hendon (2004).”