Impact of Atmosphere-Ocean Coupling on the Predictability of Monsoon Intraseasonal Oscillations
By Xiouhua Fu, Bin Wang, Duane Waliser, Li Tao. 2007
161 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/1522823e9faa0520904baf2c5e6da6dfd17de3bc
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In Atmospheric Science
In Global and Planetary Change
Citations in the corpus
- Surface Fluxes and Tropical Intraseasonal Variability: a Reassessment (2008, methodology): “In GCM studies, ocean coupling enhances northward-propagating intraseasonal variability in the Indian Ocean to varying degrees (e.g. Zheng et al. 2004, Seo et al. 2007, Fu et al. 2007, Fu and Wang 2004, Kemball-Cook et al. 2002).”
- Predictability of the Madden–Julian Oscillation in the Intraseasonal Variability Hindcast Experiment (ISVHE)* (2014, methodology): “and lack of air–sea coupling (e.g., Hendon 2000; Fu et al. 2007; Woolnough et al. 2007) were some of the factors limiting the simulation of theMJO byGCMs.”
- Predictability and prediction skill of the boreal summer intraseasonal oscillation in the Intraseasonal Variability Hindcast Experiment (2015, methodology): “For the BSISO predictability, it is found that the mean predictability of the monsoon ISO-related rainfall over the Asian–western Pacific region (10°S–30°N, 60°–160°E) reaches about 24 days in the coupled model and this is 1 week higher than in the atmosphere-only model (Fu et al. 2007).”
- An Idealized Semi-Empirical Framework for Modeling the Madden–Julian Oscillation (2012, background): “…of GCM studies indicate that while ocean coupling may improve the simulation of the MJO, it is not essential to the existence of the MJO (Waliser et al. 1999; Hendon 2000; Kemball-Cook et al. 2002; Inness and Slingo 2003; Zheng et al. 2004; Maloney and Sobel 2004; Grabowski 2006; Fu et al. 2007).”
- Prediction and monitoring of monsoon intraseasonal oscillations over Indian monsoon region in an ensemble prediction system using CFSv2 (2013, background): “Extended range prediction (ERP) skill is largely determined by the model’s ability to represent the MISO and the associated air–sea interaction, as revealed by various studies using ocean–atmosphere coupled models (Rajendran and Kitoh 2006; Fu et al. 2007; Kim and Kang 2008; Sharmila et al. 2013).”