caa a22 4500 605472793 CHVBK 20210128100340.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s00382-015-2492-6 doi (NATIONALLICENCE)springer-10.1007/s00382-015-2492-6 Variability of winter extreme precipitation in Southeast China: contributions of SST anomalies [Elektronische Daten] [Ling Zhang, Frank Sielmann, Klaus Fraedrich, Xiuhua Zhu, Xiefei Zhi] Tropical SST anomalies are among the largest drivers of circulation regime changes on interannual time scales due to its characteristic heat capacity decay time scales. The circulation anomalies associated with extreme precipitation and the corresponding atmospheric response to SST anomalies are derived from ECMWF ERA-Interim reanalysis data by employing composite analysis and lagged maximum covariance analysis. Our results show that interannual variability of extreme winter precipitation in Southeast China is in close accordance with the interannual variability of total winter precipitation. Both are associated with similar abnormal circulation regimes, but for extreme precipitation events the circulation anomaliesand moisture transport channels are significantly intensified. Two main moisture transport channels are captured: one extends from the North Indian Ocean through India and the Bay of Bengal to South China, and the other from the West Pacific Ocean through Maritime Continent and South China Sea towards South China, which are related to the preceding autumn SST patterns, El Niño and the Indian Ocean dipole (IOD), respectively. El Niño (La Niña) SST anomalies induce anomalous anticyclonic (cyclonic) circulation over Philippine Sea, which is favorable (unfavorable) to warm and humid air transport to South China from the tropical West Pacific by southwesterly (northeasterly) anomalies. Under these circulations, northeasterlies of East Asian Winter Monsoon are weakened (strengthened) resulting in extreme precipitation to be more (less) frequent in Southeast China. During the positive (negative) IOD phase, abundant (reduced) moisture transport to South China from tropical regions through India and Bay of Bengal is observed due to weakened (strengthened) Walker circulations and abnormal anticyclonic (cyclonic) circulation over India, leading to a higher (lower) likelihood for extreme precipitation events in Southeast China. The underlying physical mechanisms can be explained by a simplified one-dimensional vorticity equation (Sverdrup balance). Springer-Verlag Berlin Heidelberg, 2015 Extreme winter precipitation nationallicence Interannual variability nationallicence El Niño nationallicence IOD nationallicence Zhang Ling Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, KLME, Nanjing University of Information Science and Technology, Nanjing, China aut Sielmann Frank Meteorological Institute, Hamburg University, Hamburg, Germany aut Fraedrich Klaus Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, KLME, Nanjing University of Information Science and Technology, Nanjing, China aut Zhu Xiuhua KlimaCampus, Hamburg University, Hamburg, Germany aut Zhi Xiefei Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, KLME, Nanjing University of Information Science and Technology, Nanjing, China aut Climate Dynamics Springer Berlin Heidelberg 45/9-10(2015-11-01), 2557-2570 0930-7575 45:9-10<2557 2015 45 382 https://doi.org/10.1007/s00382-015-2492-6 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/s00382-015-2492-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhang Ling Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, KLME, Nanjing University of Information Science and Technology, Nanjing, China aut NATIONALLICENCE 700 1- Sielmann Frank Meteorological Institute, Hamburg University, Hamburg, Germany aut NATIONALLICENCE 700 1- Fraedrich Klaus Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, KLME, Nanjing University of Information Science and Technology, Nanjing, China aut NATIONALLICENCE 700 1- Zhu Xiuhua KlimaCampus, Hamburg University, Hamburg, Germany aut NATIONALLICENCE 700 1- Zhi Xiefei Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, KLME, Nanjing University of Information Science and Technology, Nanjing, China aut NATIONALLICENCE 773 0- Climate Dynamics Springer Berlin Heidelberg 45/9-10(2015-11-01), 2557-2570 0930-7575 45:9-10<2557 2015 45 382