Simulations of the Madden–Julian oscillation in four pairs of coupled and uncoupled global models

By Chidong Zhang, M. Dong, Silvio Gualdi, H. Hendon, E. Maloney, A. Marshall, K. Sperber, Wanqiu Wang. 2006

210 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/c28e7c65c3bd3345a5fb07a5c15163d3cc69903e

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. E. Maloney
2. Chidong Zhang
3. David A. Randall
4. C. DeMott
5. Duane Waliser
6. Daehyun Kim
7. A. Sobel
8. N. Klingaman

In Global and Planetary Change

1. E. Maloney
2. Chidong Zhang
3. David A. Randall
4. C. DeMott
5. Duane Waliser
6. Daehyun Kim
7. A. Sobel
8. N. Klingaman

Citations in the corpus

• Prediction of the Madden–Julian oscillation with the POAMA dynamical prediction system (2011, methodology): “Besides a demonstration of the technique for evaluating forecast skill of the MJO that can be applied to other forecast systems, assessment of the MJO in POAMA forecasts is of interest because the POAMA model has been reported to simulate a reasonable MJO (Zhang et al. 2006).”
• MJO simulation in CMIP5 climate models: MJO skill metrics and process-oriented diagnosis (2017, unknown): “A majority of the models exhibit E/W ratios of U850 that are greater than that of other variables, consistent with the finding of Zhang et al. (2006).”
• Surface Fluxes and Tropical Intraseasonal Variability: a Reassessment (2008, methodology): “The ratio of eastward to westward variance at wavenumber 1 is often used as a measure of the MJO strength (see, e.g., Zhang et al. 2006).”
• MJO and Convectively Coupled Equatorial Waves Simulated by CMIP5 Climate Models (2013, background): “…of tropical intraseasonal variability continues to be burdensome and improvement has been a difficult task for the last several generations of general circulation models (GCMs; Slingo et al. 1996; Lin et al. 2006; Zhang et al. 2006; Sperber and Annamalai 2008; Kim et al. 2009; Weaver et al. 2011).”
• 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).”
• Atmosphere‐ocean coupled processes in the Madden‐Julian oscillation (2015, background): “AIR-SEA COUPLING AND THE MJO 1101”
• Climate Models: An Assessment of Strengths and Limitations (2008, methodology): “In a recent study, Zhang (2005) used statistical downscaling to estimate Oklahoma wheat yields for a future simulation from HadCM3.”
• Application of MJO Simulation Diagnostics to Climate Models (2009, result): “Consistent with the results of previous studies (Weickmann et al. 1985; Kiladis and Weickmann 1992; Zhang et al. 2006), the dominant spatial scale of precipitation in observations is zonal wavenumbers 1 to 3 and for U850 it is zonal wavenumber 1 for periods of 30-80 days (Fig.”
• Structure of the Madden-Julian Oscillation in the Superparameterized CAM (2009, background): “Analysis of identified MJO disturbances indicates that simulated events in the region of the dry climatological bias (908–1108E) have slightly weaker convection than observed events, a deficiency also found in coupled simulations (Zhang et al. 2006).”
• Fifty Years of Research on the Madden‐Julian Oscillation: Recent Progress, Challenges, and Perspectives (2020, background): “23 of 64 energy to the atmosphere via surface fluxes (C. Zhang & McPhaden, 2000), where it helps maintain anomalous convective heating (DeMott et al., 2016; Riley Dellaripa & Maloney, 2015).”
• Representation and prediction of the Indian Ocean dipole in the POAMA seasonal forecast model (2009, methodology): “…relevant model physics include a mass flux convection scheme with a CAPE tendency closure that supports a reasonable Madden–Julian Oscillation (e.g. Zhang et al., 2006), three active soil layers for temperature, and a simple bucket scheme for soil moisture that has a field capacity of 150 mm…”