Relationship between summer rainfall anomalies and sub-seasonal oscillations in South China
| LEADER | caa a22 4500 | ||
|---|---|---|---|
| 001 | 605474117 | ||
| 003 | CHVBK | ||
| 005 | 20210128100346.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150101xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00382-014-2172-y |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00382-014-2172-y | ||
| 245 | 0 | 0 | |a Relationship between summer rainfall anomalies and sub-seasonal oscillations in South China |h [Elektronische Daten] |c [Chunhui Li, Tim Li, Ailan Lin, Dejun Gu, Bin Zheng] |
| 520 | 3 | |a 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. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a Interannual variation of summer rainfall |2 nationallicence | |
| 690 | 7 | |a Quasi-biweekly oscillation |2 nationallicence | |
| 690 | 7 | |a Intraseasonal oscillation |2 nationallicence | |
| 700 | 1 | |a Li |D Chunhui |u Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, 510080, Guangzhou, China |4 aut | |
| 700 | 1 | |a Li |D Tim |u IPRC and Department of Meteorology, University of Hawaii, Honolulu, HI, USA |4 aut | |
| 700 | 1 | |a Lin |D Ailan |u Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, 510080, Guangzhou, China |4 aut | |
| 700 | 1 | |a Gu |D Dejun |u Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, 510080, Guangzhou, China |4 aut | |
| 700 | 1 | |a Zheng |D Bin |u Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, 510080, Guangzhou, China |4 aut | |
| 773 | 0 | |t Climate Dynamics |d Springer Berlin Heidelberg |g 44/1-2(2015-01-01), 423-439 |x 0930-7575 |q 44:1-2<423 |1 2015 |2 44 |o 382 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00382-014-2172-y |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00382-014-2172-y |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Li |D Chunhui |u Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, 510080, Guangzhou, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Li |D Tim |u IPRC and Department of Meteorology, University of Hawaii, Honolulu, HI, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Lin |D Ailan |u Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, 510080, Guangzhou, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Gu |D Dejun |u Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, 510080, Guangzhou, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Zheng |D Bin |u Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, 510080, Guangzhou, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Climate Dynamics |d Springer Berlin Heidelberg |g 44/1-2(2015-01-01), 423-439 |x 0930-7575 |q 44:1-2<423 |1 2015 |2 44 |o 382 | ||