caa a22 4500 605474117 CHVBK 20210128100346.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s00382-014-2172-y doi (NATIONALLICENCE)springer-10.1007/s00382-014-2172-y Relationship between summer rainfall anomalies and sub-seasonal oscillations in South China [Elektronische Daten] [Chunhui Li, Tim Li, Ailan Lin, Dejun Gu, Bin Zheng] Sub-seasonal variability of summer (May-October) rainfall over South China exhibits two dominant timescales, one with a quasi-biweekly (QBW) period (10-20days) and the other with an intraseasonal oscillation (ISO) period (20-60days). A significant positive correlation (at a 99% confidence level) was found between the summer precipitation anomalies and the intensity of the QBW and ISO modes. By examining the composite structure and evolution characteristics, we note that the QBW and ISO modes are characterized by a northwest-southeast oriented wave train pattern with a pronounced baroclinic vertical structure, moving northwestward. A marked feature is the phase leading of low-level moisture relative to convection. For the QBW mode, such a phase leading feature appears in both the strong and weak composites. However, for the ISO mode, this feature is only clearly seen in the strong composite. The high positive correlation between the summer precipitation and the sub-seasonal variability suggests that the summer mean state may exert a large-scale control on the sub-seasonal modes. It is found that when South China is anomalously wet, large-scale atmospheric conditions in the key QBW/ISO activity region are characterized by deeper moist layer, more convectively unstable stratification, and greater ascending motion. Such environmental conditions favor the growth of the QBW and ISO perturbations. Springer-Verlag Berlin Heidelberg, 2014 Interannual variation of summer rainfall nationallicence Quasi-biweekly oscillation nationallicence Intraseasonal oscillation nationallicence Li Chunhui Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, 510080, Guangzhou, China aut Li Tim IPRC and Department of Meteorology, University of Hawaii, Honolulu, HI, USA aut Lin Ailan Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, 510080, Guangzhou, China aut Gu Dejun Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, 510080, Guangzhou, China aut Zheng Bin Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, 510080, Guangzhou, China aut Climate Dynamics Springer Berlin Heidelberg 44/1-2(2015-01-01), 423-439 0930-7575 44:1-2<423 2015 44 382 https://doi.org/10.1007/s00382-014-2172-y text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00382-014-2172-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Li Chunhui Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, 510080, Guangzhou, China aut NATIONALLICENCE 700 1- Li Tim IPRC and Department of Meteorology, University of Hawaii, Honolulu, HI, USA aut NATIONALLICENCE 700 1- Lin Ailan Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, 510080, Guangzhou, China aut NATIONALLICENCE 700 1- Gu Dejun Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, 510080, Guangzhou, China aut NATIONALLICENCE 700 1- Zheng Bin Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, 510080, Guangzhou, China aut NATIONALLICENCE 773 0- Climate Dynamics Springer Berlin Heidelberg 44/1-2(2015-01-01), 423-439 0930-7575 44:1-2<423 2015 44 382