caa a22 4500 605473986 CHVBK 20210128100345.0 cr unu---uuuuu 210128e20150301xx s 000 0 eng 10.1007/s00382-014-2155-z doi (NATIONALLICENCE)springer-10.1007/s00382-014-2155-z Impacts of two types of La Niña on the NAO during boreal winter [Elektronische Daten] [Wenjun Zhang, Lei Wang, Baoqiang Xiang, Li Qi, Jinhai He] The present work identifies two types of La Niña based on the spatial distribution of sea surface temperature (SST) anomaly. In contrast to the eastern Pacific (EP) La Niña event, a new type of La Niña (central Pacific, or CP La Niña) is featured by the SST cooling center over the CP. These two types of La Niña exhibit a fundamental difference in SST anomaly evolution: the EP La Niña shows a westward propagation feature while the CP La Niña exhibits a standing feature over the CP. The two types of La Niña can give rise to a significantly different teleconnection around the globe. As a response to the EP La Niña, the North Atlantic (NA)-Western European (WE) region experiences the atmospheric anomaly resembling a negative North Atlantic Oscillation (NAO) pattern accompanied by a weakening Atlantic jet. It leads to a cooler and drier than normal winter over Western Europe. However, the CP La Niña has a roughly opposing impact on the NA-WE climate. A positive NAO-like climate anomaly is observed with a strengthening Atlantic jet, and there appears a warmer and wetter than normal winter over Western Europe. Modeling experiments indicate that the above contrasting atmospheric anomalies are mainly attributed to the different SST cooling patterns for the two types of La Niña. Mixing up their signals would lead to difficulty in seasonal prediction of regional climate. Since the La Niña-related SST anomaly is clearly observed during the developing autumn, the associated winter climate anomalies over Western Europe could be predicted a season in advance. The Author(s), 2014 Two types of La Nina nationallicence Climate impacts nationallicence The North Atlantic and Western Europe nationallicence Zhang Wenjun Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, 210044, Nanjing, China aut Wang Lei Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, 210044, Nanjing, China aut Xiang Baoqiang International Pacific Research Center, University of Hawaii at Manoa, 96822, Honolulu, HI, USA aut Qi Li Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, 210044, Nanjing, China aut He Jinhai Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, 210044, Nanjing, China aut Climate Dynamics Springer Berlin Heidelberg 44/5-6(2015-03-01), 1351-1366 0930-7575 44:5-6<1351 2015 44 382 https://doi.org/10.1007/s00382-014-2155-z 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/s00382-014-2155-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhang Wenjun Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, 210044, Nanjing, China aut NATIONALLICENCE 700 1- Wang Lei Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, 210044, Nanjing, China aut NATIONALLICENCE 700 1- Xiang Baoqiang International Pacific Research Center, University of Hawaii at Manoa, 96822, Honolulu, HI, USA aut NATIONALLICENCE 700 1- Qi Li Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, 210044, Nanjing, China aut NATIONALLICENCE 700 1- He Jinhai Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, 210044, Nanjing, China aut NATIONALLICENCE 773 0- Climate Dynamics Springer Berlin Heidelberg 44/5-6(2015-03-01), 1351-1366 0930-7575 44:5-6<1351 2015 44 382