Abstract
A regional climate modeling analysis of the Australian monsoon system reveals a substantial modulation of vegetation-rainfall feedbacks by the Madden Julian Oscillation (MJO), both of which operate at similar sub-seasonal time scales, as evidence that the intensity of land–atmosphere interactions is sensitive to the background atmospheric state. Based on ensemble experiments with imposed modification of northern Australian leaf area index (LAI), the atmospheric responses to LAI anomalies are composited for negative and positive modes of the propagating MJO. In the regional climate model (RCM), northern Australian vegetation feedbacks are characterized by evapotranspiration (ET)-driven rainfall responses, with the moisture feedback mechanism dominating over albedo and roughness feedback mechanisms. During November–April, both Tropical Rainfall Measuring Mission and RCM data reveal MJO’s pronounced influence on rainfall patterns across northern Australia, tropical Indian Ocean, Timor Sea, Arafura Sea, and Gulf of Carpentaria, with the MJO dominating over vegetation feedbacks in terms of regulating monsoon rainfall variability. Convectively-active MJO phases support an enhancement of positive vegetation feedbacks on monsoon rainfall. While the MJO imposes minimal regulation of ET responses to LAI anomalies, the vegetation feedback-induced responses in precipitable water, cloud water, and rainfall are greatly enhanced during convectively-active MJO phases over northern Australia, which are characterized by intense low-level convergence and efficient precipitable water conversion. The sub-seasonal response of vegetation-rainfall feedback intensity to the MJO is complex, with significant enhancement of rainfall responses to LAI anomalies in February during convectively-active MJO phases compared to minimal modulation by the MJO during prior and subsequent calendar months.
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Acknowledgements
The study was funded by award 1343904 from the National Science Foundation (NSF) Climate and Large Scale Dynamics program using computational resources from the NCAR Computational and Information Systems Lab. The author received valuable feedback, guidance, and modeling assistance from Ahmed Tawfik at NCAR and Yan Yu, Fuyao Wang, and Guangshan Chen at the University of Wisconsin-Madison.
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Notaro, M. Enhancement of vegetation-rainfall feedbacks on the Australian summer monsoon by the Madden–Julian Oscillation. Clim Dyn 51, 3093–3109 (2018). https://doi.org/10.1007/s00382-018-4067-9
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DOI: https://doi.org/10.1007/s00382-018-4067-9