text:
.
   Ang BW, 2003, ENERG POLICY, V31, P1561, DOI 10.1016/S0301-4215(02)00206-9.
   Antras P, 2012, AM ECON REV, V102, P412, DOI 10.1257/aer.102.3.412.
   Choi KH, 2012, ENERG ECON, V34, P171, DOI 10.1016/j.eneco.2011.04.011.
   Daudin G, 2011, CAN J ECON, V44, P1403, DOI 10.1111/j.1540-5982.2011.01679.x.
   De Backer K., 2013, MAPPING GLOBAL VALUE.
   De Backer K., 2011, INT COMP EVIDENCE GL.
   Dedrick J, 2010, IND CORP CHANGE, V19, P81, DOI 10.1093/icc/dtp032.
   Dietzenbacher E, 2012, J ENVIRON ECON MANAG, V64, P88, DOI 10.1016/j.jeem.2011.12.003.
   Fally T, 2011, FRAGMENTATION PRODUC.
   Foster-McGregor N, 2013, ECON LETT, V120, P354, DOI 10.1016/j.econlet.2013.05.003.
   Francois J, 2015, WORLD ECON, V38, P1631, DOI 10.1111/twec.12307.
   Hummels D, 2001, J INT ECON, V54, P75, DOI 10.1016/S0022-1996(00)00093-3.
   Jiang XM, 2015, ENERGY SUSTAIN DEV, V25, P1, DOI 10.1016/j.esd.2014.12.001.
   Johnson RC, 2014, J ECON PERSPECT, V28, P119, DOI 10.1257/jep.28.2.119.
   Johnson RC, 2012, J INT ECON, V86, P224, DOI 10.1016/j.jinteco.2011.10.003.
   Koopman R, 2014, AM ECON REV, V104, P459, DOI 10.1257/aer.104.2.459.
   Koopman R, 2012, J DEV ECON, V99, P178, DOI 10.1016/j.jdeveco.2011.12.004.
   Linden G, 2009, COMMUN ACM, V52, P140, DOI 10.1145/1467247.1467280.
   Liou RW, 2016, CHINA ECON REV, V41, P159, DOI 10.1016/j.chieco.2016.10.001.
   Miller R. E., 2009, INPUT OUTPUT ANAL FD.
   Stehrer R., 2012, TRADE VALUE ADDED VA.
   Su B, 2016, ECOL INDIC, V67, P78, DOI 10.1016/j.ecolind.2016.02.020.
   Su B, 2015, APPL ENERG, V154, P13, DOI 10.1016/j.apenergy.2015.04.101.
   Su B, 2014, ENERGY, V69, P778, DOI 10.1016/j.energy.2014.03.074.
   Su B, 2013, ECOL ECON, V88, P119, DOI 10.1016/j.ecolecon.2013.01.017.
   Su B, 2012, ENERG ECON, V34, P177, DOI 10.1016/j.eneco.2011.10.009.
   Timmer M.P., 2016, ANATOMY GLOBAL TRADE.
   Timmer MP, 2014, J ECON PERSPECT, V28, P99, DOI 10.1257/jep.28.2.99.
   Varian H. R., 2007, NY TIMES, V28, pC3.
   Wang Z., 2013, NATL BUREAU EC RES.
   WTO, 2017, STAT DAT TIM SER INT.
   Xia XH, 2015, ECOL MODEL, V318, P49, DOI 10.1016/j.ecolmodel.2014.11.005.
   Xing Y., 2010, IPHONE WIDENS US TRA.
   Xing YQ, 2014, ASIAN ECON PAP, V13, P109, DOI 10.1162/ASEP\_a\_00256.
   Ye Ming, 2015, 530 IDE.
   Zhang WC, 2015, ENERG POLICY, V86, P93, DOI 10.1016/j.enpol.2015.06.029.
   Zhao YH, 2016, J CLEAN PROD, V131, P678, DOI 10.1016/j.jclepro.2016.04.114.
   Zhao YH, 2016, APPL ECON, V48, P1515, DOI 10.1080/00036846.2015.1102845.}},
Number-of-Cited-References = {{39}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{5}},
Usage-Count-Since-2013 = {{53}},
Journal-ISO = {{China Econ. Rev.}},
Doc-Delivery-Number = {{GI9ZR}},
Unique-ID = {{ISI:000434904600002}},
DA = {{2020-08-06}},
}

@article{ ISI:000432597400009,
Author = {Helama, Samuli and Sohar, Kristina and Laanelaid, Alar and Bijak, Szymon
   and Jaagus, Jaak},
Title = {{Reconstruction of precipitation variability in Estonia since the
   eighteenth century, inferred from oak and spruce tree rings}},
Journal = {{CLIMATE DYNAMICS}},
Year = {{2018}},
Volume = {{50}},
Number = {{11-12}},
Pages = {{4083-4101}},
Month = {{JUN}},
Abstract = {{There is plenty of evidence for intensification of the global
   hydrological cycle. In Europe, the northern areas are predicted to
   receive more precipitation in the future and observational evidence
   suggests a parallel trend over the past decades. As a consequence, it
   would be essential to place the recent trend in precipitation in the
   context of proxy-based estimates of reconstructed precipitation
   variability over the past centuries. Tree rings are frequently used as
   proxy data for palaeoclimate reconstructions. Here we use deciduous
   (Quercus robur) and coniferous (Picea abies) tree-ring width
   chronologies from western Estonia to deduce past early-summer (June)
   precipitation variability since 1771. Statistical model transforming our
   tree-ring data into estimates of precipitation sums explains 42\% of the
   variance in instrumental variability. Comparisons with products of
   gridded reconstructions of soil moisture and summer precipitation
   illustrate robust correlations with soil moisture (Palmer Drought
   Severity Index), but lowered correlation with summer precipitation
   estimates prior to mid-nineteenth century, these instabilities possibly
   reflecting the general uncertainties inherent to early meteorological
   and proxy data. Reconstructed precipitation variability was negatively
   correlated to the teleconnection indices of the North Atlantic
   Oscillation and the Scandinavia pattern, on annual to decadal and longer
   scales. These relationships demonstrate the positive precipitation
   anomalies to result from increase in zonal inflow and cyclonic activity,
   the negative anomalies being linked with the high pressure conditions
   enhanced during the atmospheric blocking episodes. Recently, the
   instrumental data have demonstrated a remarkable increase in summer
   (June) precipitation in the study region. Our tree-ring based
   reconstruction reproduces this trend in the context of precipitation
   history since eighteenth century and quantifies the unprecedented
   abundance of June precipitation over the recent years.}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Helama, S (Corresponding Author), Nat Resources Inst Finland, Etelaranta 55, Rovaniemi 96301, Finland.
   Helama, Samuli, Nat Resources Inst Finland, Etelaranta 55, Rovaniemi 96301, Finland.
   Sohar, Kristina; Laanelaid, Alar; Jaagus, Jaak, Univ Tartu, Inst Ecol \& Earth Sci, Dept Geog, Vanemuise St 46, EE-51014 Tartu, Estonia.
   Bijak, Szymon, Warsaw Univ Life Sci SGGW, Lab Dendrometry \& Forest Prod, Nowoursynowska 159, PL-02776 Warsaw, Poland.}},
DOI = {{10.1007/s00382-017-3862-z}},
ISSN = {{0930-7575}},
EISSN = {{1432-0894}},
Keywords = {{Palaeoclimatology; Proxy data; Regional curve standardization; Cyclonic
   activity; North Atlantic Oscillation; Scandinavia pattern}},
Keywords-Plus = {{NORTH-ATLANTIC OSCILLATION; CLIMATE-CHANGE PROJECTIONS; BALTIC SEA
   REGION; QUERCUS-ROBUR L.; ATMOSPHERIC CIRCULATION; EUROPEAN
   PRECIPITATION; EXTREME PRECIPITATION; PICEA-ABIES; TEMPERATURE; GROWTH}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{samuli.helama@luke.fi}},
ResearcherID-Numbers = {{Sohar, Kristina/B-3034-2015
   }},
ORCID-Numbers = {{bijak, szymon/0000-0001-5298-6105}},
Funding-Acknowledgement = {{Academy of FinlandAcademy of Finland {[}288267]; Estonian Research
   Council {[}IUT2-16]}},
Funding-Text = {{We thank Dr. David Barriopedro for providing us with the data of
   Westerly Index. The comments from two anonymous reviewers are
   acknowledged. This work was supported by the Academy of Finland (Grant
   \#288267) and the Estonian Research Council (Grant IUT2-16).}},
Cited-References = {{Ahti T., 1968, ANN BOT FENN, V5, P169.
   BACC Author Team, 2008, REG CLIM STUD.
   BARNSTON AG, 1987, MON WEATHER REV, V115, P1083, DOI 10.1175/1520-0493(1987)115<1083:CSAPOL>2.0.CO;2.
   Barriopedro D, 2014, CLIM DYNAM, V43, P939, DOI 10.1007/s00382-013-1957-8.
   Blade I, 2012, CLIM DYNAM, V39, P709, DOI 10.1007/s00382-011-1195-x.
   Braconnot P, 2012, NAT CLIM CHANGE, V2, P417, DOI 10.1038/NCLIMATE1456.
   Bradley RS, 2000, QUATERNARY SCI REV, V19, P391, DOI 10.1016/S0277-3791(99)00071-2.
   Briffa KR, 2013, QUATERNARY SCI REV, V72, P83, DOI 10.1016/j.quascirev.2013.04.008.
   BRIFFA KR, 1992, CLIM DYNAM, V7, P111, DOI 10.1007/BF00211153.
   BRIFFA KR, 1988, ARCTIC ALPINE RES, V20, P385, DOI 10.2307/1551336.
   Briffa KR, 1996, CLIMATIC VARIATIONS, V141, P9, DOI DOI 10.1007/978-3-642-61113-1\_2.
   Briffa KR, 1990, METHODS DENDROCHRONO, P137, DOI DOI 10.1007/978-94-015-7879-0.
   Bueh C, 2007, Q J ROY METEOR SOC, V133, P2117, DOI 10.1002/qj.173.
   Casty C, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL022431.
   Casty C, 2007, CLIM DYNAM, V29, P791, DOI 10.1007/s00382-007-0257-6.
   Cattiaux J., 2013, B AM METEOROL SOC, V94, pS39.
   Cook E. R., 1981, Tree-Ring Bulletin, V41, P45.
   Cook ER, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1500561.
   Dore MHI, 2005, ENVIRON INT, V31, P1167, DOI 10.1016/j.envint.2005.03.004.
   Efron B, 1986, STAT SCI, V1, P54, DOI DOI 10.1214/SS/1177013815.
   Esper J, 2002, SCIENCE, V295, P2250, DOI 10.1126/science.1066208.
   Fauria MM, 2010, CLIM DYNAM, V34, P781, DOI 10.1007/s00382-009-0610-z.
   Fleig AK, 2015, HYDROL EARTH SYST SC, V19, P3093, DOI 10.5194/hess-19-3093-2015.
   Folland CK, 2009, J CLIMATE, V22, P1082, DOI 10.1175/2008JCLI2459.1.
   FRITTS HC, 1976, TREE RINGS CLIMATE, P567, DOI DOI 10.1016/B978-0-12-268450-0.X5001-0.
   Grams CM, 2014, NAT HAZARD EARTH SYS, V14, P1691, DOI 10.5194/nhess-14-1691-2014.
   GUIOT J, 1985, J CLIMATOL, V5, P325, DOI 10.1002/joc.3370050308.
   Guttman NB, 1998, J AM WATER RESOUR AS, V34, P113, DOI 10.1111/j.1752-1688.1998.tb05964.x.
   Hanna E, 2015, INT J CLIMATOL, V35, P2540, DOI 10.1002/joc.4157.
   Helama S, 2004, THEOR APPL CLIMATOL, V79, P239, DOI 10.1007/s00704-004-0077-0.
   Helama S, 2003, BOREAL ENVIRON RES, V8, P171.
   Helama S, 2017, HOLOCENE, V27, P172, DOI 10.1177/0959683616652709.
   Helama S, 2016, GEOGR ANN A, V98, P155, DOI 10.1111/geoa.12128.
   Helama S, 2009, GEOLOGY, V37, P175, DOI 10.1130/G25329A.1.
   Holmes R.L., 1986, CHRONOLOGY SERIES, VVI, P182.
   Holopainen J, 2009, CLIMATIC CHANGE, V92, P213, DOI 10.1007/s10584-008-9477-y.
   Hoy A, 2014, THEOR APPL CLIMATOL, V116, P19, DOI 10.1007/s00704-013-0897-x.
   HURRELL JW, 1995, SCIENCE, V269, P676, DOI 10.1126/science.269.5224.676.
   Hurrell JW, 1997, CLIMATIC CHANGE, V36, P301, DOI 10.1023/A:1005314315270.
   Ionita M, 2015, CLIM DYNAM, V45, P2803, DOI 10.1007/s00382-015-2508-2.
   Irannezhad M, 2015, THEOR APPL CLIMATOL, V122, P471, DOI 10.1007/s00704-014-1305-x.
   Irannezhad M, 2014, INT J CLIMATOL, V34, P3139, DOI 10.1002/joc.3902.
   Jaagus J, 2006, THEOR APPL CLIMATOL, V83, P77, DOI 10.1007/s00704-005-0161-0.
   Jaagus J, 2018, THEOR APPL CLIMATOL, V131, P433, DOI 10.1007/s00704-016-1990-8.
   Jaagus J, 2010, INT J CLIMATOL, V30, P705, DOI 10.1002/joc.1929.
   Jones PD, 1997, INT J CLIMATOL, V17, P1433, DOI 10.1002/(SICI)1097-0088(19971115)17:13<1433::AID-JOC203>3.0.CO;2-P.
   Jonsson K, 2009, J CLIMATE, V22, P4710, DOI 10.1175/2009JCLI2401.1.
   Keevallik S, 1999, THEOR APPL CLIMATOL, V63, P117, DOI 10.1007/s007040050097.
   Laanelaid A, 2012, BALT FOR, V18, P196.
   Laas E, 2011, METSAMAJANDUSE ALUSE.
   Laasimer L., 1965, EESTI NSV TAIMKATE.
   Laanelaid A, 2008, BALT FOR, V14, P34.
   Laanelaid A, 2015, DENDROBIOLOGY, V73, P145, DOI 10.12657/denbio.073.015.
   Laanelaid A, 2012, DENDROCHRONOLOGIA, V30, P147, DOI 10.1016/j.dendro.2011.08.002.
   Lavers D, 2013, HYDROLOG SCI J, V58, P310, DOI 10.1080/02626667.2012.754545.
   Linderholm HW, 2003, HOLOCENE, V13, P887, DOI 10.1191/0959683603hl671rp.
   Linderholm HW, 2005, CLIM RES, V29, P63, DOI 10.3354/cr029063.
   Lindholm M, 2001, BOREAL ENVIRON RES, V6, P275.
   LIPPMAA T, 1935, EESTI GEOBOTAANIKA P.
   Lloyd-Hughes B, 2002, INT J CLIMATOL, V22, P1571, DOI 10.1002/joc.846.
   Luterbacher J, 1999, GEOPHYS RES LETT, V26, P2745, DOI 10.1029/1999GL900576.
   Luterbacher J, 2001, ATMOS SCI LETT, V2, P114, DOI 10.1006/asle.2001.0044.
   Macias-Fauria M, 2012, NAT CLIM CHANGE, V2, P613, DOI 10.1038/NCLIMATE1558.
   Macias-Fauria M, 2012, DENDROCHRONOLOGIA, V30, P179, DOI 10.1016/j.dendro.2011.08.003.
   Madsen H, 2014, J HYDROL, V519, P3634, DOI 10.1016/j.jhydrol.2014.11.003.
   Melvin TM, 2008, DENDROCHRONOLOGIA, V26, P71, DOI 10.1016/j.dendro.2007.12.001.
   Melvin TM, 2013, HOLOCENE, V23, P364, DOI 10.1177/0959683612460791.
   Moberg A, 2005, NATURE, V433, P613, DOI 10.1038/nature03265.
   Osborn T. J., 1997, Dendrochronologia, V15, P89.
   Peterson TC, 2013, B AM METEOROL SOC, V94, pS1, DOI 10.1175/BAMS-D-13-00085.1.
   Portis DH, 2001, J CLIMATE, V14, P2069, DOI 10.1175/1520-0442(2001)014<2069:SOTNAO>2.0.CO;2.
   Post P, 2002, BOREAL ENVIRON RES, V7, P281.
   Raisanen J, 2001, TELLUS A, V53, P547, DOI 10.1034/j.1600-0870.2001.00262.x.
   Rinn F, 2006, TIME SERIES ANAL PRE.
   Rutgersson A, 2014, CLIM RES, V61, P177, DOI 10.3354/cr01244.
   Santos JA, 2016, J GEOPHYS RES-ATMOS, V121, P1170, DOI 10.1002/2015JD024399.
   Schubert SD, 2014, J CLIMATE, V27, P3169, DOI 10.1175/JCLI-D-13-00360.1.
   Seftigen K, 2015, CLIM DYNAM, V44, P3141, DOI 10.1007/s00382-014-2191-8.
   Seftigen K, 2013, INT J CLIMATOL, V33, P2449, DOI 10.1002/joc.3592.
   Sepp M, 2005, NORD HYDROL, V36, P297.
   Sohar K., 2013, THESIS.
   Sohar K, 2014, EUR J FOREST RES, V133, P535, DOI 10.1007/s10342-014-0783-9.
   Sohar K, 2012, DENDROCHRONOLOGIA, V30, P49, DOI 10.1016/j.dendro.2011.08.001.
   Sousa PM, 2017, CLIM DYNAM, V48, P1141, DOI 10.1007/s00382-016-3132-5.
   TRENBERTH KE, 1980, MON WEATHER REV, V108, P855, DOI 10.1175/1520-0493(1980)108<0855:TNHSLP>2.0.CO;2.
   van der Schrier G, 2013, J GEOPHYS RES-ATMOS, V118, P4025, DOI 10.1002/jgrd.50355.
   Vicente-Serrano SM, 2016, CLIM DYNAM, V47, P845, DOI 10.1007/s00382-015-2875-8.
   Wanner H, 2001, SURV GEOPHYS, V22, P321, DOI 10.1023/A:1014217317898.
   WIGLEY TML, 1984, J CLIM APPL METEOROL, V23, P201, DOI 10.1175/1520-0450(1984)023<0201:OTAVOC>2.0.CO;2.
   Wilson R, 2004, TREES-STRUCT FUNCT, V18, P19, DOI 10.1007/s00468-003-0273-z.
   Yang B, 2014, P NATL ACAD SCI USA, V111, P2903, DOI 10.1073/pnas.1319238111.
   Yin JH, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL023684.
   Ylhaisi JS, 2010, NAT HAZARD EARTH SYS, V10, P1563, DOI 10.5194/nhess-10-1563-2010.}},
Number-of-Cited-References = {{93}},
Times-Cited = {{10}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{18}},
Journal-ISO = {{Clim. Dyn.}},
Doc-Delivery-Number = {{GG3NB}},
Unique-ID = {{ISI:000432597400009}},
DA = {{2020-08-06}},
}

@article{ ISI:000432597400018,
Author = {Zhang, Tuantuan and Huang, Bohua and Yang, Song and Laohalertchai,
   Charoon},
Title = {{Seasonal dependence of the predictable low-level circulation patterns
   over the tropical Indo-Pacific domain}},
Journal = {{CLIMATE DYNAMICS}},
Year = {{2018}},
Volume = {{50}},
Number = {{11-12}},
Pages = {{4263-4284}},
Month = {{JUN}},
Abstract = {{The seasonal dependence of the prediction skill of 850-hPa monthly zonal
   wind over the tropical Indo-Pacific domain is examined using the
   ensemble reforecasts for 1983-2010 from the National Centers for
   Environmental Prediction (NCEP) Climate Forecast System Reanalysis and
   Reforecast (CFSRR) project. According to a maximum signal-to-noise
   empirical orthogonal function analysis, the most predictable patterns of
   atmospheric low-level circulation are associated with the developing and
   maturing phases of El Nio-Southern Oscillation (ENSO). The CFSv2 is
   capable of predicting these ENSO-related patterns up to 9-months in
   advance for all months, except for May-June when the effect of the
   spring barrier is strong. The other predictable climate processes
   associated with the low-level atmospheric circulation are more
   seasonally dependent. For winter and spring, the second most predictable
   patterns are associated with the ENSO decaying phase. Within these
   seasons, the monthly evolution of the predictable patterns is
   characterized by a southward shift of westerly wind anomalies, generated
   by the interaction between the annual cycle and the ENSO signals (i.e.,
   the combination-mode). In general, the CFSv2 hindcast well predicts
   these patterns at least 5 months in advance for spring, while shows much
   lower skills for winter months. In summer, the second predictable
   patterns are associated with the western North Pacific (WNP) monsoon
   (i.e., the WNP anticyclone/cyclone) in short leads while associated with
   ENSO in longer leads (after 4-month lead). The second predictable
   patterns in fall are mainly associated with tropical Indian Ocean
   Dipole, which can be predicted 3 months in advance.}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Yang, S (Corresponding Author), Sun Yat Sen Univ, Sch Atmospher Sci, 135 West Xingang Rd, Guangzhou 510275, Guangdong, Peoples R China.
   Yang, S (Corresponding Author), Sun Yat Sen Univ, Guangdong Prov Key Lab Climate Change \& Nat Disas, Guangzhou, Guangdong, Peoples R China.
   Yang, S (Corresponding Author), Sun Yat Sen Univ, Inst Earth Climate \& Environm Syst, Guangzhou, Guangdong, Peoples R China.
   Zhang, Tuantuan; Yang, Song, Sun Yat Sen Univ, Sch Atmospher Sci, 135 West Xingang Rd, Guangzhou 510275, Guangdong, Peoples R China.
   Huang, Bohua, George Mason Univ, Dept Atmospher Ocean \& Earth Sci, Fairfax, VA 22030 USA.
   Huang, Bohua, George Mason Univ, Ctr Ocean Land Atmosphere Studies, Fairfax, VA 22030 USA.
   Yang, Song, Sun Yat Sen Univ, Guangdong Prov Key Lab Climate Change \& Nat Disas, Guangzhou, Guangdong, Peoples R China.
   Yang, Song, Sun Yat Sen Univ, Inst Earth Climate \& Environm Syst, Guangzhou, Guangdong, Peoples R China.
   Laohalertchai, Charoon, Thai Meteorol Dept, Bangkok, Thailand.}},
DOI = {{10.1007/s00382-017-3874-8}},
ISSN = {{0930-7575}},
EISSN = {{1432-0894}},
Keywords = {{Most predictable patterns; Seasonal dependence; NCEP CFSv2 hindcasts}},
Keywords-Plus = {{CLIMATE FORECAST SYSTEM; WESTERN NORTH PACIFIC; SEA-SURFACE TEMPERATURE;
   EAST ASIAN TELECONNECTION; EL-NINO EVENTS; SUMMER MONSOON; INDIAN-OCEAN;
   ATMOSPHERIC CIRCULATION; INTERANNUAL VARIABILITY; SOUTHERN-OSCILLATION}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{yangsong3@mail.sysu.edu.cn}},
ResearcherID-Numbers = {{Zhang, Tuantuan/AAG-4841-2019}},
Funding-Acknowledgement = {{National Key Scientific Research Plan of China {[}2014CB953904];
   National Key Research and Development Program of China
   {[}2016YFA0602703]; Natural Science Foundation of ChinaNational Natural
   Science Foundation of China {[}41661144019, 41690123, 41690120,
   41375081]; LASW State Key Laboratory Special Fund {[}2016LASW-B01]; CMA
   Guangzhou Joint Research Center for Atmospheric Sciences; Jiangsu
   Collaborative Innovation Center for Climate Change; CMA Guangzhou
   Institute of Tropical and Marine Meteorology/Guangdong Provincial Key
   Laboratory of Regional Numerical Weather Prediction; National Science
   FoundationNational Science Foundation (NSF) {[}AGS-1338427]; National
   Oceanic and Atmospheric AdministrationNational Oceanic Atmospheric Admin
   (NOAA) - USA {[}NA14OAR4310160]; National Aeronautics and Space
   AdministrationNational Aeronautics \& Space Administration (NASA)
   {[}NNX-14AM19G]}},
Funding-Text = {{The authors thank the two anomalous reviewers for their constructive
   comments on an earlier version of the manuscript. This study was jointly
   supported by the National Key Scientific Research Plan of China (Grant
   2014CB953904), the National Key Research and Development Program of
   China (2016YFA0602703), the Natural Science Foundation of China (Grants
   41661144019, 41690123, 41690120, 41375081), the LASW State Key
   Laboratory Special Fund (2016LASW-B01), the CMA Guangzhou Joint Research
   Center for Atmospheric Sciences, the Jiangsu Collaborative Innovation
   Center for Climate Change, and the CMA Guangzhou Institute of Tropical
   and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional
   Numerical Weather Prediction. B. Huang is supported by grants from the
   National Science Foundation (AGS-1338427), the National Oceanic and
   Atmospheric Administration (NA14OAR4310160), and the National
   Aeronautics and Space Administration (NNX-14AM19G).}},
Cited-References = {{Allen MR, 1997, PHYS LETT A, V234, P419, DOI 10.1016/S0375-9601(97)00559-8.
   Barnston AG, 2012, B AM METEOROL SOC, V93, P631, DOI 10.1175/BAMS-D-11-00111.1.
   BJERKNES J, 1969, MON WEATHER REV, V97, P163, DOI 10.1175/1520-0493(1969)097<0163:ATFTEP>2.3.CO;2.
   Cai WJ, 2011, J CLIMATE, V24, P3910, DOI 10.1175/2011JCLI4129.1.
   Chang P, 2000, J CLIMATE, V13, P2195, DOI 10.1175/1520-0442(2000)013<2195:TEOLSS>2.0.CO;2.
   Chattopadhyay R, 2016, INT J CLIMATOL, V36, P3297, DOI 10.1002/joc.4556.
   GILL AE, 1980, Q J ROY METEOR SOC, V106, P447, DOI 10.1256/smsqj.44904.
   Harrison DE, 1999, GEOPHYS RES LETT, V26, P1593, DOI 10.1029/1999GL900316.
   HARRISON DE, 1987, MON WEATHER REV, V115, P3133, DOI 10.1175/1520-0493(1987)115<3133:MMISWI>2.0.CO;2.
   Haylock M, 2001, J CLIMATE, V14, P3882, DOI 10.1175/1520-0442(2001)014<3882:SCAPOI>2.0.CO;2.
   Hendon HH, 2003, J CLIMATE, V16, P1775, DOI {[}10.1175/1520-0442(2003)016<1775:IRVIOE>2.0.CO;2, 10.1175/1520-0442(2003)016\<1775:IRVIOE\>2.0.CO;2].
   Hu ZZ, 2007, MON WEATHER REV, V135, P1786, DOI 10.1175/MWR3393.1.
   Huang B, 2004, CLIM DYNAM, V23, P133, DOI 10.1007/s00382-004-0443-8.
   Huang BH, 2002, J GEOPHYS RES-OCEANS, V107, DOI 10.1029/2001JC001278.
   Jia XJ, 2013, MON WEATHER REV, V141, P3154, DOI 10.1175/MWR-D-12-00302.1.
   Jiang XW, 2013, CLIM DYNAM, V41, P2199, DOI 10.1007/s00382-013-1934-2.
   Jiang XW, 2013, J GEOPHYS RES-ATMOS, V118, P1312, DOI 10.1002/jgrd.50193.
   Kao HY, 2009, J CLIMATE, V22, P615, DOI 10.1175/2008JCLI2309.1.
   Kosaka Y, 2013, NATURE, V501, P403, DOI 10.1038/nature12534.
   Lau KM, 1996, Q J ROY METEOR SOC, V122, P945.
   Lau KM, 2002, J METEOROL SOC JPN, V80, P1129, DOI 10.2151/jmsj.80.1129.
   Lau KM, 2000, J CLIMATE, V13, P2461, DOI 10.1175/1520-0442(2000)013<2461:DABFCO>2.0.CO;2.
   Li T, 2005, TERR ATMOS OCEAN SCI, V16, P285, DOI 10.3319/TAO.2005.16.2.285(A).
   Li T, 2016, J CLIMATE, V29, P4685, DOI 10.1175/JCLI-D-15-0385.1.
   Liang JY, 2009, CLIM DYNAM, V32, P989, DOI 10.1007/s00382-008-0420-8.
   LINDZEN RS, 1987, J ATMOS SCI, V44, P2418, DOI 10.1175/1520-0469(1987)044<2418:OTROSS>2.0.CO;2.
   Linho LH, 2008, J CLIMATE, V21, P3081, DOI 10.1175/2007JCLI1611.1.
   McGregor S, 2012, J CLIMATE, V25, P5566, DOI 10.1175/JCLI-D-11-00332.1.
   MURAKAMI T, 1994, J METEOROL SOC JPN, V72, P719, DOI 10.2151/jmsj1965.72.5\_719.
   Neelin JD, 1998, J GEOPHYS RES-OCEANS, V103, P14261, DOI 10.1029/97JC03424.
   RAMAGE CS, 1968, MON WEATHER REV, V96, P365, DOI 10.1175/1520-0493(1968)096<0365:ROATMC>2.0.CO;2.
   RASMUSSON EM, 1982, MON WEATHER REV, V110, P354, DOI 10.1175/1520-0493(1982)110<0354:VITSST>2.0.CO;2.
   Reynolds RW, 2007, J CLIMATE, V20, P5473, DOI 10.1175/2007JCLI1824.1.
   Saha S, 2006, J CLIMATE, V19, P3483, DOI 10.1175/JCLI3812.1.
   Saha SK, 2016, J ADV MODEL EARTH SY, V8, P96, DOI 10.1002/2015MS000542.
   Saha S, 2014, J CLIMATE, V27, P2185, DOI 10.1175/JCLI-D-12-00823.1.
   Saha S, 2010, B AM METEOROL SOC, V91, P1015, DOI 10.1175/2010BAMS3001.1.
   Saji NH, 1999, NATURE, V401, P360, DOI 10.1038/43855.
   Shukla RP, 2018, CLIM DYNAM, V50, P159, DOI 10.1007/s00382-017-3594-0.
   Stuecker MF, 2013, NAT GEOSCI, V6, P540, DOI 10.1038/NGEO1826.
   Sun Y, 2014, J CLIMATE, V27, P2622, DOI 10.1175/JCLI-D-13-00277.1.
   Sutton RT, 2000, J CLIMATE, V13, P3261, DOI 10.1175/1520-0442(2000)013<3261:TEOCVI>2.0.CO;2.
   Torrence C, 1998, Q J ROY METEOR SOC, V124, P1985, DOI 10.1256/smsqj.55009.
   Venzke S, 1999, J CLIMATE, V12, P2562, DOI 10.1175/1520-0442(1999)012<2562:TAROTN>2.0.CO;2.
   Wang B, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL022734.
   Wang B, 2000, J CLIMATE, V13, P1517, DOI 10.1175/1520-0442(2000)013<1517:PEATHD>2.0.CO;2.
   Wang B, 1999, J METEOROL SOC JPN, V77, P1.
   Wang B, 2002, J CLIMATE, V15, P3252, DOI 10.1175/1520-0442(2002)015<3252:PEATPI>2.0.CO;2.
   Wang WQ, 2010, WEATHER FORECAST, V25, P950, DOI 10.1175/2010WAF2222345.1.
   Weaver SJ, 2011, J CLIMATE, V24, P4676, DOI 10.1175/2011JCLI4188.1.
   WEBSTER PJ, 1992, Q J ROY METEOR SOC, V118, P877, DOI 10.1256/smsqj.50704.
   Wu RG, 2000, J CLIMATE, V13, P2483, DOI 10.1175/1520-0442(2000)013<2483:IVOSMO>2.0.CO;2.
   Xie PP, 1997, B AM METEOROL SOC, V78, P2539, DOI 10.1175/1520-0477(1997)078<2539:GPAYMA>2.0.CO;2.
   Xie SP, 2009, J CLIMATE, V22, P730, DOI 10.1175/2008JCLI2544.1.
   XIE SP, 1994, TELLUS A, V46, P340, DOI 10.1034/j.1600-0870.1994.t01-1-00001.x.
   Xue Y, 2013, J CLIMATE, V26, P5358, DOI 10.1175/JCLI-D-12-00600.1.
   Yamagata T, 2003, B AM METEOROL SOC, V84, P1418, DOI 10.1175/BAMS-84-10-1418.
   Yang S, 2014, J CLIMATE, V27, P4451, DOI 10.1175/JCLI-D-13-00471.1.
   Yu JY, 2007, J GEOPHYS RES-ATMOS, V112, DOI 10.1029/2006JD007654.
   Yuan X, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL047792.
   Zhang TT, 2016, J CLIMATE, V29, P8871, DOI 10.1175/JCLI-D-16-0417.1.
   Zhang TT, 2016, J CLIMATE, V29, P3675, DOI 10.1175/JCLI-D-15-0222.1.
   Zhang WJ, 2016, GEOPHYS RES LETT, V43, P11375, DOI 10.1002/2016GL071190.
   Zhu JS, 2015, J CLIMATE, V28, P7962, DOI 10.1175/JCLI-D-15-0067.1.
   Zuo ZY, 2013, CLIM DYNAM, V40, P3071, DOI 10.1007/s00382-013-1772-2.}},
Number-of-Cited-References = {{65}},
Times-Cited = {{6}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{7}},
Journal-ISO = {{Clim. Dyn.}},
Doc-Delivery-Number = {{GG3NB}},
Unique-ID = {{ISI:000432597400018}},
OA = {{Other Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000432597400025,
Author = {Chen, Zheng and Gan, Bolan and Wu, Lixin and Jia, Fan},
Title = {{Pacific-North American teleconnection and North Pacific Oscillation:
   historical simulation and future projection in CMIP5 models}},
Journal = {{CLIMATE DYNAMICS}},
Year = {{2018}},
Volume = {{50}},
Number = {{11-12}},
Pages = {{4379-4403}},
Month = {{JUN}},
Abstract = {{Based on reanalysis datasets and as many as 35 CMIP5 models, this study
   evaluates the capability of climate models to simulate the
   spatiotemporal features of Pacific-North American teleconnection (PNA)
   and North Pacific Oscillation (NPO) in the twentieth century wintertime,
   and further investigates their responses to greenhouse warming in the
   twenty-first century. Analysis reveals that while the majority (80\%) of
   models reasonably simulate either the geographical distribution or the
   amplitude of PNA/NPO pattern, only half of models can well capture both
   features in space. As for the temporal features, variabilities of PNA
   and NPO in most models are biased toward higher amplitude. Additionally,
   most models simulate the interannual variabilities of PNA and NPO,
   qualitatively consistent with the observation, whereas models generally
   lack the capability to reproduce the decadal (20-25 years) variability
   of PNA. As the climate warms under the strongest future warming
   scenario, the PNA intensity is found to be strengthened, whereas there
   is no consensus on the direction of change in the NPO intensity among
   models. The intensification of positive PNA is primarily manifested in
   the large deepening of the North Pacific trough, which is robust as it
   is 2.3 times the unforced internal variability. By focusing on the
   tropical Pacific Ocean, we find that the multidecadal evolution of the
   North Pacific trough intensity (dominating the PNA intensity evolution)
   is closely related to that of the analogous trough in the PNA-like
   teleconnection forced by sea surface temperature anomalies (SSTa) in the
   tropical central Pacific (CP) rather than the tropical eastern Pacific
   (EP). Such association is also found to act under greenhouse warming:
   that is, the strengthening of the PNA-like teleconnection induced by the
   CP SSTa rather than the EP SSTa is a driving force for the
   intensification of PNA. This is in part owing to the robust enhancement
   of the tropical precipitation response to the CP SST variation. Indeed,
   further inspection suggests that models with stronger intensification of
   the CP SST variability and its related tropical precipitation response
   tend to have larger deepening magnitude of the North Pacific trough
   associated with the PNA variability.}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Gan, BL (Corresponding Author), Ocean Univ China, Phys Oceanog Lab, 5 Yushan Rd, Qingdao 266003, Peoples R China.
   Gan, BL (Corresponding Author), Qingdao Natl Lab Marine Sci \& Technol, 5 Yushan Rd, Qingdao 266003, Peoples R China.
   Chen, Zheng; Gan, Bolan; Wu, Lixin, Ocean Univ China, Phys Oceanog Lab, 5 Yushan Rd, Qingdao 266003, Peoples R China.
   Chen, Zheng; Gan, Bolan; Wu, Lixin, Qingdao Natl Lab Marine Sci \& Technol, 5 Yushan Rd, Qingdao 266003, Peoples R China.
   Jia, Fan, Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat \& Waves, Qingdao, Peoples R China.}},
DOI = {{10.1007/s00382-017-3881-9}},
ISSN = {{0930-7575}},
EISSN = {{1432-0894}},
Keywords = {{Global warming; Pacific-North American teleconnection; North Pacific
   Oscillation; Tropical Pacific Ocean; CMIP5 climate models}},
Keywords-Plus = {{EL-NINO TELECONNECTIONS; ZONAL MEAN FLOW; CLIMATE VARIABILITY;
   HEMISPHERE WINTER; PATTERNS; ENSO; 20TH-CENTURY; CIRCULATION;
   TRANSIENTS; DYNAMICS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{gbl0203@ouc.edu.cn}},
ResearcherID-Numbers = {{Chen, Zheng/A-7244-2017}},
Funding-Acknowledgement = {{National Key Research and Development Program of China
   {[}2016YFA0601804]; China National Global Change Major Research Project
   {[}2013CB956201]; National Natural Science Foundation of China
   (NSFC)National Natural Science Foundation of China {[}41506009,
   41490643, 41130859, 41490640, 41506016, 41521091]}},
Funding-Text = {{We acknowledge the WCRP's Working Group on Coupled Modelling, which is
   responsible for CMIP, and we thank the climate modeling groups for
   producing and making available their model output. This work was
   supported by National Key Research and Development Program of China
   (2016YFA0601804), China National Global Change Major Research Project
   (2013CB956201), National Natural Science Foundation of China (NSFC)
   Projects (41506009, 41490643, 41130859, 41490640, 41506016, 41521091).}},
Cited-References = {{Alexander MA, 2002, J CLIMATE, V15, P2205, DOI 10.1175/1520-0442(2002)015<2205:TABTIO>2.0.CO;2.
   Allan AM, 2014, CLIM DYNAM, V42, P1671, DOI 10.1007/s00382-013-1910-x.
   Ashok K, 2009, NATURE, V461, P481, DOI 10.1038/461481a.
   Barnston A. G., 1987, MON WEATHER REV, V115, P1825.
   BRANSTATOR G, 1984, J ATMOS SCI, V41, P2163, DOI 10.1175/1520-0469(1984)041<2163:TRBZMF>2.0.CO;2.
   Bretherton CS, 1999, J CLIMATE, V12, P1990, DOI 10.1175/1520-0442(1999)012<1990:TENOSD>2.0.CO;2.
   Cai WJ, 2015, NAT CLIM CHANGE, V5, P849, DOI {[}10.1038/nclimate2743, 10.1038/NCLIMATE2743].
   Chhak KC, 2009, J CLIMATE, V22, P1255, DOI 10.1175/2008JCLI2639.1.
   Christensen J. H., 2013, CLIMATE CHANGE 2013.
   Compo GP, 2011, Q J ROY METEOR SOC, V137, P1, DOI 10.1002/qj.776.
   Croci-Maspoli M, 2007, CLIM DYNAM, V29, P713, DOI 10.1007/s00382-007-0259-4.
   Deser C, 2004, J CLIMATE, V17, P3109, DOI 10.1175/1520-0442(2004)017<3109:PICVLB>2.0.CO;2.
   Di Lorenzo E, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2007GL032838.
   Di Lorenzo E, 2010, NAT GEOSCI, V3, P762, DOI {[}10.1038/ngeo984, 10.1038/NGEO984].
   Furtado JC, 2011, J CLIMATE, V24, P3049, DOI 10.1175/2010JCLI3584.1.
   Garfinkel CI, 2013, CLIM DYNAM, V41, P1.
   Ge Y, 2009, J CLIMATE, V22, P217, DOI 10.1175/2008JCLI2124.1.
   Harding KJ, 2015, J CLIMATE, V28, P6729, DOI 10.1175/JCLI-D-14-00657.1.
   HELD IM, 1989, J ATMOS SCI, V46, P163, DOI 10.1175/1520-0469(1989)046<0163:TATERT>2.0.CO;2.
   HOERLING MP, 1994, J CLIMATE, V7, P745, DOI 10.1175/1520-0442(1994)007<0745:OOETDE>2.0.CO;2.
   Hoerling MP, 2002, J CLIMATE, V15, P2184, DOI 10.1175/1520-0442(2002)015<2184:ARPAWT>2.0.CO;2.
   HOREL JD, 1981, MON WEATHER REV, V109, P813, DOI 10.1175/1520-0493(1981)109<0813:PSAPAW>2.0.CO;2.
   HOSKINS BJ, 1981, J ATMOS SCI, V38, P1179, DOI 10.1175/1520-0469(1981)038<1179:TSLROA>2.0.CO;2.
   Jin FF, 2006, J ATMOS SCI, V63, P1677, DOI 10.1175/JAS3715.1.
   KANG IS, 1990, J ATMOS SCI, V47, P141, DOI 10.1175/1520-0469(1990)047<0141:IOZMFC>2.0.CO;2.
   Kao HY, 2009, J CLIMATE, V22, P615, DOI 10.1175/2008JCLI2309.1.
   Latif M, 1996, J CLIMATE, V9, P2407, DOI 10.1175/1520-0442(1996)009<2407:DCVOTN>2.0.CO;2.
   LAU NC, 1988, J ATMOS SCI, V45, P2718, DOI 10.1175/1520-0469(1988)045<2718:VOTOMS>2.0.CO;2.
   LEATHERS DJ, 1991, J CLIMATE, V4, P517, DOI 10.1175/1520-0442(1991)004<0517:TPATPA>2.0.CO;2.
   Linkin ME, 2008, J CLIMATE, V21, P1979, DOI 10.1175/2007JCLI2048.1.
   Lu J, 2004, J CLIMATE, V17, P3745, DOI 10.1175/1520-0442(2004)017<3745:TINHWA>2.0.CO;2.
   Meehl GA, 2007, CLIM DYNAM, V29, P779, DOI 10.1007/s00382-007-0268-3.
   Nigam S., 2003, ENCY ATMOSPHERIC SCI, P2243.
   Poli P, 2016, J CLIMATE, V29, P4083, DOI 10.1175/JCLI-D-15-0556.1.
   Rayner NA, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2002JD002670.
   Ren HL, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2010GL046031.
   ROGERS JC, 1990, J CLIMATE, V3, P1364, DOI 10.1175/1520-0442(1990)003<1364:POLFMS>2.0.CO;2.
   Stoner AMK, 2009, J CLIMATE, V22, P4348, DOI 10.1175/2009JCLI2577.1.
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1.
   Taylor KE, 2001, J GEOPHYS RES-ATMOS, V106, P7183, DOI 10.1029/2000JD900719.
   Torrence C, 1998, B AM METEOROL SOC, V79, P61, DOI 10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2.
   Trenberth KE, 1998, J GEOPHYS RES-OCEANS, V103, P14291, DOI 10.1029/97JC01444.
   WALLACE JM, 1981, MON WEATHER REV, V109, P784, DOI 10.1175/1520-0493(1981)109<0784:TITGHF>2.0.CO;2.
   Weng HY, 2009, CLIM DYNAM, V32, P663, DOI 10.1007/s00382-008-0394-6.
   Wettstein JJ, 2010, J ATMOS SCI, V67, P1420, DOI 10.1175/2009JAS3194.1.
   Yeh SW, 2009, NATURE, V461, P511, DOI 10.1038/nature08316.
   Yu JY, 2011, J CLIMATE, V24, P708, DOI 10.1175/2010JCLI3688.1.
   Zhou ZQ, 2014, J CLIMATE, V27, P9050, DOI 10.1175/JCLI-D-14-00254.1.}},
Number-of-Cited-References = {{48}},
Times-Cited = {{7}},
Usage-Count-Last-180-days = {{6}},
Usage-Count-Since-2013 = {{30}},
Journal-ISO = {{Clim. Dyn.}},
Doc-Delivery-Number = {{GG3NB}},
Unique-ID = {{ISI:000432597400025}},
DA = {{2020-08-06}},
}

@article{ ISI:000432597400026,
Author = {Stephan, Claudia Christine and Klingaman, Nicholas Pappas and Vidale,
   Pier Luigi and Turner, Andrew George and Demory, Marie-Estelle and Guo,
   Liang},
Title = {{A comprehensive analysis of coherent rainfall patterns in China and
   potential drivers. Part I: Interannual variability}},
Journal = {{CLIMATE DYNAMICS}},
Year = {{2018}},
Volume = {{50}},
Number = {{11-12}},
Pages = {{4405-4424}},
Month = {{JUN}},
Abstract = {{Interannual rainfall variability in China affects agriculture,
   infrastructure and water resource management. To improve its
   understanding and prediction, many studies have associated precipitation
   variability with particular causes for specific seasons and regions.
   Here, a consistent and objective method, Empirical Orthogonal
   Teleconnection (EOT) analysis, is applied to 1951-2007 high-resolution
   precipitation observations over China in all seasons. Instead of
   maximizing the explained space-time variance, the method identifies
   regions in China that best explain the temporal variability in
   domain-averaged rainfall. The EOT method is validated by the
   reproduction of known relationships to the El Nio Southern Oscillation
   (ENSO): high positive correlations with ENSO are found in eastern China
   in winter, along the Yangtze River in summer, and in southeast China
   during spring. New findings include that wintertime rainfall variability
   along the southeast coast is associated with anomalous convection over
   the tropical eastern Atlantic and communicated to China through a zonal
   wavenumber-three Rossby wave. Furthermore, spring rainfall variability
   in the Yangtze valley is related to upper-tropospheric midlatitude
   perturbations that are part of a Rossby wave pattern with its origin in
   the North Atlantic. A circumglobal wave pattern in the northern
   hemisphere is also associated with autumn precipitation variability in
   eastern areas. The analysis is objective, comprehensive, and produces
   timeseries that are tied to specific locations in China. This
   facilitates the interpretation of associated dynamical processes, is
   useful for understanding the regional hydrological cycle, and allows the
   results to serve as a benchmark for assessing general circulation
   models.}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Stephan, CC (Corresponding Author), Univ Reading, Dept Meteorol, Natl Ctr Atmospher Sci Climate, POB 243, Reading RG6 6BB, Berks, England.
   Stephan, Claudia Christine; Klingaman, Nicholas Pappas; Vidale, Pier Luigi; Turner, Andrew George; Demory, Marie-Estelle; Guo, Liang, Univ Reading, Dept Meteorol, Natl Ctr Atmospher Sci Climate, POB 243, Reading RG6 6BB, Berks, England.}},
DOI = {{10.1007/s00382-017-3882-8}},
ISSN = {{0930-7575}},
EISSN = {{1432-0894}},
Keywords-Plus = {{EAST-ASIAN MONSOON; TROPICAL WESTERN PACIFIC; EL-NINO; TELECONNECTION
   PATTERN; COMBINATION-MODE; ENSO; SUMMER; DATASET; PRECIPITATION;
   OSCILLATION}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{c.c.stephan@reading.ac.uk}},
ResearcherID-Numbers = {{Guo, Liang/AAI-6750-2020
   Marie-Estelle, Demory/O-5684-2019
   Stephan, Claudia Christine/AAL-4455-2020
   Vidale, Pier Luigi/AAF-6468-2019
   Turner, Andrew G/D-2286-2009
   Klingaman, Nicholas P/H-4610-2012}},
ORCID-Numbers = {{Guo, Liang/0000-0002-6004-3884
   Marie-Estelle, Demory/0000-0002-5764-3248
   Vidale, Pier Luigi/0000-0002-1800-8460
   Turner, Andrew G/0000-0002-0642-6876
   Klingaman, Nicholas P/0000-0002-2927-9303}},
Funding-Acknowledgement = {{UK-China Research and Innovation Partnership Fund through the Met Office
   Climate Science for Service Partnership (CSSP) China, Newton Fund;
   Natural Environment Research CouncilNERC Natural Environment Research
   Council {[}NE/L010976/1]}},
Funding-Text = {{The authors thank the two anonymous reviewers for their constructive
   comments to improve the manuscript. This work and its contributors
   (Claudia Christine Stephan, Pier Luigi Vidale, Andrew Turner,
   Marie-Estelle Demory and Liang Guo) were supported by the UK-China
   Research and Innovation Partnership Fund through the Met Office Climate
   Science for Service Partnership (CSSP) China as part of the Newton Fund.
   Nicholas Klingaman was supported by an Independent Research Fellowship
   from the Natural Environment Research Council (NE/L010976/1). APHRODITE
   data are available from http://www.chikyu.ac.jp/precip/. OLR data are
   provided by the NOAA/OAR/ESRL PSD, Boulder, Colorado, USA, at
   http://www.esrl.noaa.gov/psd/. The Rossby wave source function was
   computed using code from the python package windspharm v1.5.0 available
   at http://ajdawson.github.io/windspharm. We thank Dr. Wenjun Zhang for
   providing us with the results of EOF analysis on equatorial surface
   winds. We are also grateful to Prof. Adam Scaife, Dr. Edwin Gerber,
   Prof. Oliver Buhler and Dr. Nick Dunstone for helpful discussions
   regarding Rossby wave ray tracing.}},
Cited-References = {{Barriopedro D, 2012, J HYDROMETEOROL, V13, P1251, DOI 10.1175/JHM-D-11-074.1.
   Chan JCL, 2004, E ASIAN MONSOON, P54, DOI DOI 10.1142/9789812701411\_0002.
   Chen GS, 2012, J CLIMATE, V25, P7834, DOI 10.1175/JCLI-D-11-00684.1.
   Dee DP, 2011, Q J ROY METEOR SOC, V137, P553, DOI 10.1002/qj.828.
   Enomoto T, 2003, Q J ROY METEOR SOC, V129, P157, DOI 10.1256/qj.01.211.
   Fu C. B., 1988, CHINESE J ATMOS SCI, V12, P133, DOI DOI 10.3878/J.ISSN.1006-9895.1988.T1.11.
   Gao T, 2017, THEOR APPL CLIMATOL, V129, P815, DOI 10.1007/s00704-016-1801-2.
   GILL AE, 1980, Q J ROY METEOR SOC, V106, P447, DOI 10.1256/smsqj.44904.
   {[}顾雷 GU Lei], 2008, {[}气候与环境研究, Climatic and Environmental Research], V13, P405.
   Hamada A., 2011, GLOBAL ENV RES, V15, P183.
   Hamada JI, 2002, J METEOROL SOC JPN, V80, P285, DOI 10.2151/jmsj.80.285.
   Harrison DE, 1996, J CLIMATE, V9, P3025, DOI 10.1175/1520-0442(1996)009<3025:TCSLPS>2.0.CO;2.
   HOSKINS BJ, 1981, J ATMOS SCI, V38, P1179, DOI 10.1175/1520-0469(1981)038<1179:TSLROA>2.0.CO;2.
   Huang R. H., 2002, J NATURAL DISASTERS, V1, P910.
   HUANG RH, 1992, J METEOROL SOC JPN, V70, P243, DOI 10.2151/jmsj1965.70.1B\_243.
   HUANG RH, 1999, PLATEAU METEOROLOGY, V18, P465, DOI DOI 10.3321/J.ISSN:1000-0534.1999.04.001.(IN.
   {[}黄荣辉 Huang Ronghui], 2012, {[}大气科学, Chinese Journal of Atmospheric Sciences], V36, P443.
   Huang RH, 2012, ADV ATMOS SCI, V29, P910, DOI 10.1007/s00376-012-2015-x.
   Huang Ronghui, 2011, Chinese Journal of Atmospheric Sciences, V35, P589.
   Huang Ronghui, 1998, CLIMATIC ENV RES, V3, P300, DOI DOI 10.3878/J.ISSN.1006-9585.1998.04.02.(IN.
   King AD, 2014, J CLIMATE, V27, P6035, DOI 10.1175/JCLI-D-13-00715.1.
   纪立人, 1997, Advances in Atmospheric Sciences, V14, P1.
   Klingaman NP, 2013, INT J CLIMATOL, V33, P2413, DOI 10.1002/joc.3593.
   Kosaka Y, 2006, Q J ROY METEOR SOC, V132, P2009, DOI 10.1256/qj.05.204.
   Krishnamurti TN, 2009, J METEOROL SOC JPN, V87A, P393, DOI 10.2151/jmsj.87A.393.
   Lau NC, 2006, J CLIMATE, V19, P4508, DOI 10.1175/JCLI3878.1.
   Liao Q., 1981, COLLECTION LONG TIME, P103.
   Liebmann B, 1996, B AM METEOROL SOC, V77, P1275.
   Lu RY, 2002, TELLUS A, V54, P44, DOI 10.1034/j.1600-0870.2002.00248.x.
   Matsuno T, 1966, J METEOR SOC JAPAN, V44, P25, DOI DOI 10.2151/JMSJ1965.44.1\_25.
   NAKAMURA H, 1994, GEOPHYS RES LETT, V21, P2003, DOI 10.1029/94GL01614.
   NITTA T, 1987, J METEOROL SOC JPN, V65, P373, DOI 10.2151/jmsj1965.65.3\_373.
   NORTH GR, 1982, MON WEATHER REV, V110, P699, DOI 10.1175/1520-0493(1982)110<0699:SEITEO>2.0.CO;2.
   Rajeevan M, 2009, CURR SCI INDIA, V96, P558.
   Rayner NA, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2002JD002670.
   Rotstayn LD, 2010, INT J CLIMATOL, V30, P1067, DOI 10.1002/joc.1952.
   SARDESHMUKH PD, 1988, J ATMOS SCI, V45, P1228, DOI 10.1175/1520-0469(1988)045<1228:TGOGRF>2.0.CO;2.
   Scaife AA, 2017, Q J ROY METEOR SOC, V143, P1, DOI 10.1002/qj.2910.
   Shi Y, 2009, ATMOS OCEAN SCI LETT, V2, P308, DOI 10.1080/16742834.2009.11446816.
   Smith I, 2004, AUST METEOROL MAG, V53, P163.
   Stephan CC, 2017, CLIMATE DYN.
   Stuecker MF, 2015, J CLIMATE, V28, P1093, DOI 10.1175/JCLI-D-14-00225.1.
   Stuecker MF, 2013, NAT GEOSCI, V6, P540, DOI 10.1038/NGEO1826.
   Swanson KL, 2000, J ATMOS SCI, V57, P2262, DOI 10.1175/1520-0469(2000)057<2262:SWAATG>2.0.CO;2.
   Takaya K, 2001, J ATMOS SCI, V58, P608, DOI 10.1175/1520-0469(2001)058<0608:AFOAPI>2.0.CO;2.
   Tomita T, 1996, J METEOROL SOC JPN, V74, P399, DOI 10.2151/jmsj1965.74.4\_399.
   van den Dool HM, 2000, J CLIMATE, V13, P1421, DOI 10.1175/1520-0442(2000)013<1421:EOT>2.0.CO;2.
   Wang B, 2000, J CLIMATE, V13, P1517, DOI 10.1175/1520-0442(2000)013<1517:PEATHD>2.0.CO;2.
   Wang B, 2002, J CLIMATE, V15, P3252, DOI 10.1175/1520-0442(2002)015<3252:PEATPI>2.0.CO;2.
   Wang Lin, 2011, Chinese Journal of Atmospheric Sciences, V35, P1105.
   Wang L, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL035287.
   Wu J, 2013, CHINESE J GEOPHYS-CH, V56, P1102, DOI 10.6038/cjg20130406.
   Wu RG, 2003, J CLIMATE, V16, P3742, DOI 10.1175/1520-0442(2003)016\<3742:EOERAI\>2.0.CO;2.
   Wu XF, 2016, CLIM DYNAM, V47, P3203, DOI 10.1007/s00382-016-3021-y.
   Wu ZW, 2009, J GEOPHYS RES-ATMOS, V114, DOI 10.1029/2009JD011733.
   Xie SP, 2017, J CLIMATE, V30, P3461, DOI {[}10.1175/JCLI-D-16-0713.1, 10.1175/jcli-d-16-0713.1].
   Xie SP, 2009, J CLIMATE, V22, P730, DOI 10.1175/2008JCLI2544.1.
   Yang JL, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2006GL028571.
   Yang XQ, 2008, INTERDECADAL CLIMATE, V15, P97.
   Yatagai A, 2012, B AM METEOROL SOC, V93, P1401, DOI 10.1175/BAMS-D-11-00122.1.
   ZHANG RENHE, 1998, CHINESE J ATMOS SCI, V22, P587.
   Zhang RH, 1996, J METEOROL SOC JPN, V74, P49, DOI 10.2151/jmsj1965.74.1\_49.
   Zhang WJ, 2016, J CLIMATE, V29, P4347, DOI 10.1175/JCLI-D-15-0104.1.
   Zhang WJ, 2014, GEOPHYS RES LETT, V41, P4020, DOI 10.1002/2014GL060130.
   Zhang Y, 1997, J CLIMATE, V10, P1004, DOI 10.1175/1520-0442(1997)010<1004:ELIV>2.0.CO;2.
   Zhao JH, 2014, SCI CHINA EARTH SCI, V57, P3047, DOI 10.1007/s11430-014-4930-4.
   Zhao TB, 2006, ADV ATMOS SCI, V23, P593, DOI 10.1007/s00376-006-0593-1.
   Zhou TJ, 2005, J GEOPHYS RES-ATMOS, V110, DOI 10.1029/2004JD005413.
   黄荣辉, 1989, Advances in Atmospheric Sciences, V6, P21.}},
Number-of-Cited-References = {{69}},
Times-Cited = {{10}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{12}},
Journal-ISO = {{Clim. Dyn.}},
Doc-Delivery-Number = {{GG3NB}},
Unique-ID = {{ISI:000432597400026}},
OA = {{Green Accepted, Other Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000432597400041,
Author = {Li, Weijing and Ren, Hong-Chang and Zuo, Jinqing and Ren, Hong-Li},
Title = {{Early summer southern China rainfall variability and its oceanic drivers}},
Journal = {{CLIMATE DYNAMICS}},
Year = {{2018}},
Volume = {{50}},
Number = {{11-12}},
Pages = {{4691-4705}},
Month = {{JUN}},
Abstract = {{Rainfall in southern China reaches its annual peak in early summer
   (May-June) with strong interannual variability. Using a combination of
   observational analysis and numerical modeling, the present study
   investigates the leading modes of this variability and its dynamic
   drivers. A zonal dipole pattern termed the southern China Dipole (SCD)
   is found to be the dominant feature in early summer during 1979-2014,
   and is closely related to a low-level anomalous anticyclone over the
   Philippine Sea (PSAC) and a Eurasian wave-train pattern over the
   mid-high latitudes. Linear regressions based on observations and
   numerical experiments using the CAM5 model suggest that the associated
   atmospheric circulation anomalies in early summer are linked to decaying
   El Nio-Southern Oscillation-like sea surface temperature (SST) anomalies
   in the tropical Pacific, basin-scale SST anomalies in the tropical
   Indian Ocean, and meridional tripole-like SST anomalies in the North
   Atlantic in the previous winter to early summer. The tropical Pacific
   and Indian Ocean SST anomalies primarily exert an impact on the SCD
   through changing the polarity of the PSAC, while the North Atlantic
   tripole-like SST anomalies mainly exert a downstream impact on the SCD
   by inducing a Eurasian wave-train pattern. The North Atlantic
   tripole-like SST anomalies also make a relatively weak contribution to
   the variations of the PSAC and SCD through a subtropical teleconnection.
   Modeling results indicate that the three-basin combined forcing has a
   greater impact on the SCD and associated circulation anomalies than the
   individual influence from any single oceanic basin.}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Ren, HC (Corresponding Author), Nanjing Univ Informat Sci \& Technol, Collaborat Innovat Ctr Forecast \& Evaluat Meteoro, Nanjing, Jiangsu, Peoples R China.
   Ren, HC (Corresponding Author), China Meteorol Adm, Natl Meteorol Ctr, Beijing 100081, Peoples R China.
   Li, Weijing; Ren, Hong-Chang; Zuo, Jinqing, Nanjing Univ Informat Sci \& Technol, Collaborat Innovat Ctr Forecast \& Evaluat Meteoro, Nanjing, Jiangsu, Peoples R China.
   Li, Weijing; Zuo, Jinqing; Ren, Hong-Li, China Meteorol Adm, Natl Climate Ctr, Lab Climate Studies, Beijing 100081, Peoples R China.
   Ren, Hong-Chang, China Meteorol Adm, Natl Meteorol Ctr, Beijing 100081, Peoples R China.}},
DOI = {{10.1007/s00382-017-3898-0}},
ISSN = {{0930-7575}},
EISSN = {{1432-0894}},
Keywords = {{Rainfall variability; South China; SST anomalies; Teleconnections}},
Keywords-Plus = {{SEA-SURFACE TEMPERATURE; TROPICAL ATLANTIC SST; WATER-VAPOR TRANSPORT;
   INDO-WESTERN PACIFIC; EAST-ASIAN CLIMATE; EL-NINO; MONSOON RAINFALL;
   NORTH PACIFIC; ANOMALOUS ANTICYCLONE; INDIAN-OCEAN}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{renhongchang921@sina.com}},
ResearcherID-Numbers = {{Ren, Hong-Li/X-9632-2018}},
ORCID-Numbers = {{Ren, Hong-Li/0000-0001-7194-0567}},
Funding-Acknowledgement = {{National Basic Research Program of ChinaNational Basic Research Program
   of China {[}2013CB430203]; China Meteorological Special Programs
   {[}GYHY201506013]; National Key Research and Development Program of
   China (during the 13th Five-year Plan) {[}2016YFA0601501]}},
Funding-Text = {{The authors are indebted to Dr. Peili Wu of the Hadley Centre for
   Climate Prediction and Research for carefully reading and helpful
   comments on the original manuscript. This research was jointly supported
   by the National Basic Research Program of China (Grant 2013CB430203),
   the China Meteorological Special Programs (Grants GYHY201506013), the
   National Key Research and Development Program of China (during the 13th
   Five-year Plan) (Grants 2016YFA0601501). The authors are grateful to two
   anonymous reviewers for their insightful comments to improve the quality
   of the paper.}},
Cited-References = {{CAYAN DR, 1992, J PHYS OCEANOGR, V22, P859, DOI 10.1175/1520-0485(1992)022<0859:LASHFA>2.0.CO;2.
   Chang CP, 2000, J CLIMATE, V13, P4310, DOI 10.1175/1520-0442(2000)013<4310:IAIVOT>2.0.CO;2.
   Chang TC, 2016, J CLIMATE, V29, P6509, DOI 10.1175/JCLI-D-15-0807.1.
   Chen LX, 2001, J METEOROL RES, V15, P436.
   Czaja A, 2002, J CLIMATE, V15, P606, DOI 10.1175/1520-0442(2002)015<0606:OIOASA>2.0.CO;2.
   Dee DP, 2011, Q J ROY METEOR SOC, V137, P553, DOI 10.1002/qj.828.
   DING Y, 2006, ASIAN MONSOON, P131, DOI DOI 10.1007/3-540-37722-0\_4.
   Ding YH, 2005, METEOROL ATMOS PHYS, V89, P117, DOI 10.1007/s00703-005-0125-z.
   Ham YG, 2013, NAT GEOSCI, V6, P112, DOI {[}10.1038/NGEO1686, 10.1038/ngeo1686].
   Hong CC, 2014, J GEOPHYS RES-ATMOS, V119, P3715, DOI 10.1002/2013JD021394.
   Huang R., 1994, CHINESE J ATMOS SCI, V18, P141.
   Klein SA, 1999, J CLIMATE, V12, P917, DOI 10.1175/1520-0442(1999)012<0917:RSSTVD>2.0.CO;2.
   LAU KM, 1992, J METEOROL SOC JPN, V70, P211, DOI 10.2151/jmsj1965.70.1B\_211.
   Lau NC, 2003, J CLIMATE, V16, P3, DOI 10.1175/1520-0442(2003)016<0003:AOVITI>2.0.CO;2.
   Lee MH, 2010, ADV ATMOS SCI, V27, P443, DOI 10.1007/s00376-009-9106-3.
   {[}李峰 Li Feng], 2004, {[}气象学报, Acta Meteorologica Sinica], V62, P347.
   Li J, 2015, J ADV MODEL EARTH SY, V7, P774, DOI 10.1002/2014MS000414.
   LI S, 2001, ACTA METEOROL SIN, V59, P280.
   {[}刘芸芸 Liu Yunyun], 2012, {[}应用气象学报, Journal of Applied Meteorolgical Science], V23, P414.
   Liu ZY, 2007, REV GEOPHYS, V45, DOI 10.1029/2005RG000172.
   Mao JY, 2011, INT J CLIMATOL, V31, P847, DOI 10.1002/joc.2129.
   NORTH GR, 1982, MON WEATHER REV, V110, P699, DOI 10.1175/1520-0493(1982)110<0699:SEITEO>2.0.CO;2.
   Rayner NA, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2002JD002670.
   Ren FM, 2002, ADV ATMOS SCI, V19, P943.
   Ren HC, 2016, ATMOS SCI LETT, V17, P223, DOI 10.1002/asl.646.
   Simmonds I, 1999, J CLIMATE, V12, P1353, DOI 10.1175/1520-0442(1999)012<1353:AWVFAI>2.0.CO;2.
   Su Q, 2014, ADV ATMOS SCI, V31, P273, DOI 10.1007/s00376-013-3051-x.
   Takaya K, 2001, J ATMOS SCI, V58, P608, DOI 10.1175/1520-0469(2001)058<0608:AFOAPI>2.0.CO;2.
   WALLACE JM, 1981, MON WEATHER REV, V109, P784, DOI 10.1175/1520-0493(1981)109<0784:TITGHF>2.0.CO;2.
   Wang B, 2000, J CLIMATE, V13, P1517, DOI 10.1175/1520-0442(2000)013<1517:PEATHD>2.0.CO;2.
   Wang B, 2003, J CLIMATE, V16, P1195, DOI 10.1175/1520-0442(2003)16\<1195:AOIAII\>2.0.CO;2.
   Wang B, 2009, J CLIMATE, V22, P3864, DOI 10.1175/2009JCLI2850.1.
   Wu BY, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL037299.
   Wu BY, 2009, ADV ATMOS SCI, V26, P31, DOI 10.1007/s00376-009-0031-2.
   Wu B, 2010, J CLIMATE, V23, P2974, DOI 10.1175/2010JCLI3300.1.
   Wu RG, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2011JD015779.
   Wu TW, 2003, J CLIMATE, V16, P2038, DOI 10.1175/1520-0442(2003)016\<2038:TRBTTW\>2.0.CO;2.
   Xie SP, 2010, J CLIMATE, V23, P3352, DOI 10.1175/2010JCLI3429.1.
   Xie SP, 2009, J CLIMATE, V22, P730, DOI 10.1175/2008JCLI2544.1.
   Xie SP, 2004, GEOPHYS MONOGR SER, V147, P121.
   Yang JL, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2006GL028571.
   Ye H, 2011, J CLIMATE, V24, P2271, DOI 10.1175/2010JCLI3747.1.
   Yim SY, 2014, CLIM DYNAM, V43, P1423, DOI 10.1007/s00382-013-1956-9.
   {[}郑彬 Zhang Bin], 2006, {[}大气科学, Chinese Journal of Atmospheric Sciences], V30, P1207.
   Zhang Q Y, 1998, ACTA METEOROLOGICA S, V56, P199, DOI DOI 10.11676/QXXB1998.019.
   Zhang RH, 2017, SCI CHINA EARTH SCI, V60, P1124, DOI 10.1007/s11430-016-9026-x.
   Zhang RH, 1996, J METEOROL SOC JPN, V74, P49, DOI 10.2151/jmsj1965.74.1\_49.
   Zhang RH, 2001, ADV ATMOS SCI, V18, P1005.
   Zhao P, 2004, J CLIMATE, V17, P3434, DOI 10.1175/1520-0442(2004)017\<3434:TSIEAI\>2.0.CO;2.
   Zhou TJ, 2005, J GEOPHYS RES-ATMOS, V110, DOI 10.1029/2004JD005413.
   Zuo JQ, 2013, ADV ATMOS SCI, V30, P1173, DOI 10.1007/s00376-012-2125-5.}},
Number-of-Cited-References = {{51}},
Times-Cited = {{5}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{10}},
Journal-ISO = {{Clim. Dyn.}},
Doc-Delivery-Number = {{GG3NB}},
Unique-ID = {{ISI:000432597400041}},
OA = {{Other Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000433995400006,
Author = {Arsalani, Mohsen and Pourtahamsi, Kambiz and Azizi, Ghasem and
   Braeuning, Achim and Mohammad, Hosein},
Title = {{Tree-ring based December-February precipitation reconstruction in the
   southern Zagros Mountains, Iran}},
Journal = {{DENDROCHRONOLOGIA}},
Year = {{2018}},
Volume = {{49}},
Pages = {{45-56}},
Month = {{JUN}},
Abstract = {{We developed the first tree-ring width chronology from Quercus brantii
   Lindel for the period 1796-2015 in the southern Zagros Mountains, Iran,
   using standard dendrochronological procedures. Climate-growth
   relationships revealed that DecemberoFebruary precipitation has strong
   positive effects (r = 0.66; P < 0.01) on the species' growth while mean
   temperature during the growing season has strong negative effects.
   Spatial correlations with Palmer Drought Severity Index (PDSI) and
   gridded precipitation data revealed that the chronology contains
   regional climate signals and tree growth variations may represent
   precipitation fluctuations over large areas of the Middle East. The
   linear regression model accounts for 44\% of the actual
   DecemberoFebruary precipitation variance. The reconstructed
   precipitation revealed that over the period 1850-2015 extreme dry years
   occurred in 1870-71, 1898, 1960 and 1963-64, and extreme wet years
   occurred in 1851, 1885, 1916 and 1921 in the southern Zagros region. The
   longest dry period lasted 16 years and occurred from 1958 to 1973.
   Two-year consecutive wet and dry events showed the highest frequencies
   and the average length of dry and wet events were 2.9 and 3.6 years over
   the reconstructed period. Correlations between the long-term
   reconstructed precipitation and the North Atlantic Oscillation (NAO),
   Southern Oscillation Index (SOI), and Pacific Decadal Oscillation (PDO)
   confirmed the effects of teleconnection patterns on precipitation in the
   southern Zagros region.}},
Publisher = {{ELSEVIER GMBH, URBAN \& FISCHER VERLAG}},
Address = {{OFFICE JENA, P O BOX 100537, 07705 JENA, GERMANY}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Pourtahamsi, K (Corresponding Author), Univ Tehran, Fac Nat Resources, Dept Wood \& Paper Sci \& Technol, Tehran, Iran.
   Arsalani, Mohsen; Azizi, Ghasem; Mohammad, Hosein, Univ Tehran, Fac Geog, Dept Phys Geog, Tehran, Iran.
   Pourtahamsi, Kambiz, Univ Tehran, Fac Nat Resources, Dept Wood \& Paper Sci \& Technol, Tehran, Iran.
   Braeuning, Achim, Univ Erlangen Nurnberg, Inst Geog, Erlangen, Germany.}},
DOI = {{10.1016/j.dendro.2018.03.002}},
ISSN = {{1125-7865}},
EISSN = {{1612-0051}},
Keywords = {{Dendroclimatology; Drought; Famine; Climate extremes; Tree-rings;
   Southern zagros; Climate reconstruction; Teleconnection patterns}},
Keywords-Plus = {{NORTH-ATLANTIC OSCILLATION; SPRING PRECIPITATION; AUTUMN RAINFALL;
   PERSIAN FAMINE; UNITED-STATES; WESTERN IRAN; TURKEY; DROUGHT; INDEX;
   STREAMFLOW}},
Research-Areas = {{Forestry; Physical Geography}},
Web-of-Science-Categories  = {{Forestry; Geography, Physical}},
Author-Email = {{pourtahmasi@ut.ac.ir}},
ORCID-Numbers = {{Pourtahmasi, Kambiz/0000-0002-1858-7765
   Arsalani, Mohsen/0000-0003-4802-7395}},
Cited-References = {{Akkemik U, 2005, INT J BIOMETEOROL, V49, P297, DOI 10.1007/s00484-004-0249-8.
   Akkemik U, 2005, INT J CLIMATOL, V25, P537, DOI 10.1002/joc.1145.
   Akkemik U, 2008, INT J CLIMATOL, V28, P173, DOI 10.1002/joc.1522.
   Arsalani M., 2012, THESIS.
   Arsalani M., 2013, J GEOGR ENV PLANN, V51, P11, DOI {[}10.1002/joc.3988, DOI 10.1002/JOC.3988].
   Arsalani M, 2015, INT J CLIMATOL, V35, P408, DOI 10.1002/joc.3988.
   Azizi G, 2013, PALAEOGEOGR PALAEOCL, V386, P96, DOI 10.1016/j.palaeo.2013.05.009.
   Cai Q, 2014, CLIM PAST, V10, P509, DOI 10.5194/cp-10-509-2014.
   Choat B, 2012, NATURE, V491, P752, DOI 10.1038/nature11688.
   Cook E. R., 1990, METHODS DENDROCHRONO.
   Cook ER, 1999, J CLIMATE, V12, P1145, DOI 10.1175/1520-0442(1999)012<1145:DRFTCU>2.0.CO;2.
   COOK ER, 1994, INT J CLIMATOL, V14, P379, DOI 10.1002/joc.3370140404.
   Cook ER, 1986, TREE RING CHRONOLOGI.
   D'Arrigo R., 2001, DENDROCHRONOLOGIA, V19, P169.
   Dai A, 2004, J HYDROMETEOROL, V5, P1117, DOI 10.1175/JHM-386.1.
   Delju A. H., 2013, IRAN THEOR APPL CLIM, V112, P285.
   Easterling DR, 2000, B AM METEOROL SOC, V81, P417, DOI 10.1175/1520-0477(2000)081<0417:OVATIE>2.3.CO;2.
   ELMOSLIMANY AP, 1986, VEGETATIO, V68, P55.
   Fang KY, 2010, INT J CLIMATOL, V30, P1137, DOI 10.1002/joc.1974.
   Farajzadeh M., 2016, J CLIMATE RES, V15, P31.
   Fritts H. C., 1980, INTERDISCIP HIST, V10, P1.
   Fritts H. C., 1976, TREE RINGS CLIMATE.
   Ghayour H. A., 2002, J GEOGR RES, V63, P93.
   Ghayour HA, 2001, GEOGR RES, V16, P141.
   Giblar Gad, 1976, ASIAN AFR STUD, V2.
   Gohari A., 2013, BASIN SCI TOTAL ENV, V422, P405.
   Goodarzi M., 2017, J ECOHYDROL, V4, P641.
   Griggs C, 2014, INT J CLIMATOL, V34, P2702, DOI 10.1002/joc.3869.
   Jazirehi M. H., 2003, SILVICULTURE ZAGROS, DOI {[}10.1002/(SICI)1097, DOI 10.1002/(SICI)1097].
   Jones PD, 1997, INT J CLIMATOL, V17, P1433, DOI 10.1002/(SICI)1097-0088(19971115)17:13<1433::AID-JOC203>3.0.CO;2-P.
   Karamzadeh S., 2010, J FOR POPLAR RES, V19, P15.
   Kazemi R, 2017, COMP STUD SOUTH ASIA, V37, P24, DOI 10.1215/1089201x-3821285.
   Ketabi A., 2011, J JAMEH PAZHUHI FARH, V2, P169.
   Khoshakhlagh F., 1998, J PHYS GEOGR RES Q, V51, P28.
   Kose N, 2011, QUATERNARY RES, V75, P438, DOI 10.1016/j.yqres.2010.12.005.
   Kousari MR, 2011, THEOR APPL CLIMATOL, V103, P321, DOI 10.1007/s00704-010-0304-9.
   Liang EY, 2007, CHINESE SCI BULL, V52, P2715, DOI 10.1007/s11434-007-0351-5.
   Liphschitz N., 1979, IRAN JUNIPERUS POLYC, V39, P39.
   Majd Mohammad Gholi, 2003, GREAT FAMINE GENOCID.
   Mantua NJ, 1997, B AM METEOROL SOC, V78, P1069, DOI 10.1175/1520-0477(1997)078<1069:APICOW>2.0.CO;2.
   Masoodian S. A., 2009, IRAN J GEOGR RES, V91, P3.
   McKee T. B., 1993, P 8 C APPL CLIM, V17, P179, DOI DOI 10.1111/J.1467-7717.1988.TB00685.
   MEKO D, 1993, J CLIMATE, V6, P1773, DOI 10.1175/1520-0442(1993)006\<1773:SPOTGA\>2.0.CO;2.
   MELVILLE C, 1988, DISASTERS, V12, P309, DOI 10.1111/j.1467-7717.1988.tb00685.x.
   MICHAELSEN J, 1987, J CLIM APPL METEOROL, V26, P1589, DOI 10.1175/1520-0450(1987)026<1589:CVISCF>2.0.CO;2.
   Nadi M, 2017, INT J CLIMATOL, V37, P420, DOI 10.1002/joc.4715.
   Najafi-Harsini F., 2010, THESIS, DOI {[}10.1002/(SICI), DOI 10.1002/(SICI)].
   Nazemosadat MJ, 2006, IRAN J SCI TECHNOL B, V30, P555.
   Nazemosadat MJ, 2000, INT J CLIMATOL, V20, P47, DOI 10.1002/(SICI)1097-0088(200001)20:1\<47::AID-JOC461\>3.0.CO;2-P.
   OKAZAKI S, 1986, B SCH ORIENT AFR ST, V49, P183, DOI 10.1017/S0041977X00042609.
   Palmer W.C., 1965, 45 WEATH BUR RES DEP.
   Pourtahmasi K., 2012, TRACE, V10, P49.
   Pourtahmasi K., 2009, IRAN J FOR WOOD PROD, V62, P159.
   POURTAHMASI K, 2007, GEOOKODYNAMIK, V28, P27.
   Rinn F., 2003, TSAP WIN TIME SERIES.
   Roghani R, 2016, THEOR APPL CLIMATOL, V124, P411, DOI 10.1007/s00704-015-1423-0.
   ROPELEWSKI CF, 1987, MON WEATHER REV, V115, P2161, DOI 10.1175/1520-0493(1987)115<2161:AEOTTS>2.0.CO;2.
   Salahi B., 2013, IRAN J GEOGR RES, V28, P119.
   Salahi B., 2004, J GEOGR RES, V60, P147.
   Stokes M. A., 1968, INTRO TREE RING DATI, DOI {[}10.1111/j.1752-1688.1999.tb05451.x, DOI 10.1111/J.1752-1688.1999.TB05451.X].
   Tabari H, 2014, HYDROL PROCESS, V28, P4411, DOI 10.1002/hyp.9960.
   Tabari H, 2011, GLOBAL PLANET CHANGE, V79, P1, DOI 10.1016/j.gloplacha.2011.07.008.
   Tabari H, 2011, J HYDROL, V396, P313, DOI 10.1016/j.jhydrol.2010.11.034.
   Touchan R, 2005, CLIM DYNAM, V25, P75, DOI 10.1007/s00382-005-0016-5.
   Touchan R, 2005, CLIMATIC CHANGE, V72, P339, DOI 10.1007/s10584-005-5358-9.
   Touchan R, 2003, INT J CLIMATOL, V23, P157, DOI 10.1002/joc.850.
   Touchan R, 1999, J AM WATER RESOUR AS, V35, P49, DOI 10.1111/j.1752-1688.1999.tb05451.x.
   Touchan R, 2007, QUATERNARY RES, V68, P196, DOI 10.1016/j.yqres.2007.07.001.
   van der Schrier G, 2013, J GEOPHYS RES-ATMOS, V118, P4025, DOI 10.1002/jgrd.50355.
   WIGLEY TML, 1984, J CLIM APPL METEOROL, V23, P201, DOI 10.1175/1520-0450(1984)023<0201:OTAVOC>2.0.CO;2.
   WMO, 2016, GUID DEF MON EXTR WE.}},
Number-of-Cited-References = {{71}},
Times-Cited = {{4}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{12}},
Journal-ISO = {{Dendrochronologia}},
Doc-Delivery-Number = {{GH9NF}},
Unique-ID = {{ISI:000433995400006}},
DA = {{2020-08-06}},
}

@article{ ISI:000433995400007,
Author = {Gaspard, Diary Tenompitia and Venegas-Gonzalez, Alejandro and Beeckman,
   Hans and Randriamalala, Josoa Ramarolanonana and Tomazello-Filho, Mario
   and De Ridder, Maaike and Ramananantoandro, Tahiana},
Title = {{Tree ring responses to climate variability of xerophytic thickets from
   South Soalara, Madagascar}},
Journal = {{DENDROCHRONOLOGIA}},
Year = {{2018}},
Volume = {{49}},
Pages = {{57-67}},
Month = {{JUN}},
Abstract = {{Xerophytic thickets occur along the southwestern part of Madagascar.
   Although providing a wide variety of resources and services to the local
   population, this particular vegetation is subjected to deforestation.
   This study focuses on linking dendroclimatology and dendroecology by
   examining the spatial and temporal variability of the ecological growth
   conditions. Information from tree rings was retrieved, on one hand, to
   identify the problem of the limiting effects of past climate on growth
   and, on the other hand, to show how local environment takes part in the
   growth pattern of South Soalara species, in the southwestern part of
   Madagascar. Methods and principles of dendrochronology were applied on
   nine species belonging to seven botanical families. A total of 42 stem
   discs from 3 to 5 trees per species were collected at 30 cm height. All
   discs exhibited visible tree rings, but anatomical distinctness varied
   between species. This study highlighted the annual formation of tree
   rings through successful crossdating techniques. Then, from the nine
   constructed chronologies, species were grouped into three clusters.
   Analysis between precipitation and radial growth showed that the
   response to climate occurred mainly in rainy season. Large-scale
   climatic drivers such as sea surface temperature (SST1) of ENSO2 regions
   revealed a teleconnection with tree growth in cluster 1. Mean radial
   increments were computed from the measured tree ring width and varied
   from 0.66 to 1.98 mm year-1, showing that those species are
   slow-growing. All species were recorded as having a certain
   dendrochronological potential, which was ranked as useful for Rhizogum
   madagascariense and Terminalia gracilipes, poor for Gyrocarpus
   americanus and problematic for the other species. It is recommended to
   increase the number of wood samples and to provide more knowledge on the
   characteristics of the species in order to improve the quality of the
   chronology and the climatic signal on tree rings.}},
Publisher = {{ELSEVIER GMBH}},
Address = {{HACKERBRUCKE 6, 80335 MUNICH, GERMANY}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Gaspard, DT (Corresponding Author), Univ Antananarivo, Dept Eaux \& Forets, Ecole Super Sci Agron, BP 175, Antananarivo 101, Madagascar.
   Gaspard, Diary Tenompitia; Randriamalala, Josoa Ramarolanonana; Ramananantoandro, Tahiana, Univ Antananarivo, Dept Eaux \& Forets, Ecole Super Sci Agron, BP 175, Antananarivo 101, Madagascar.
   Venegas-Gonzalez, Alejandro; Tomazello-Filho, Mario, Univ Sao Paulo, Dept Ciencias Florestais, Escola Super Agr Luiz de Queiroz, Av Padua Dias 11, BR-13418900 Piracicaba, SP, Brazil.
   Beeckman, Hans; De Ridder, Maaike, RMCA, Wood Biol Serv, Leuvensesteenweg 13, B-3080 Tervuren, Belgium.}},
DOI = {{10.1016/j.dendro.2018.02.003}},
ISSN = {{1125-7865}},
EISSN = {{1612-0051}},
Keywords = {{Dendroclimatology; Dendroecology in Africa; Xeric vegetation; Sea
   surface temperature; ENSO; Climate change}},
Keywords-Plus = {{SEA-SURFACE TEMPERATURE; WOODY CHARCOAL PRODUCTION; ANNUAL GROWTH RINGS;
   PTEROCARPUS-ANGOLENSIS; RAINFALL VARIABILITY; AFRICAN RAINFALL; TROPICAL
   TREES; FOREST; DYNAMICS; PERIODICITY}},
Research-Areas = {{Forestry; Physical Geography}},
Web-of-Science-Categories  = {{Forestry; Geography, Physical}},
Author-Email = {{gasparddiary@gmail.com}},
ResearcherID-Numbers = {{Beeckman, Hans/I-7653-2019
   Ramananantoandro, Tahiana/N-6366-2015
   VENEGAS-GONZALEZ, ALEJANDRO/AAK-1882-2020
   Ramananantoandro, Tahiana/C-9331-2014
   }},
ORCID-Numbers = {{Beeckman, Hans/0000-0001-8954-6277
   Ramananantoandro, Tahiana/0000-0001-5080-7118
   Venegas-Gonzalez, Alejandro/0000-0003-4568-4533
   Gaspard, Diary Tenompitia/0000-0003-0349-4635}},
Funding-Acknowledgement = {{Belgian Development Cooperation; FPPSM Project ``Forests, Parks, Poverty
   in South Madagascar{''} from FSP/PARRUR, French Ministry of Foreign
   Affairs MAE; National Commission for Scientific and Technological
   Research of Chile (CONICYT- PAI/INDUSTRIA) {[}79090016]}},
Funding-Text = {{This work was supported by the Belgian Development Cooperation that
   funded laboratory works in Belgium; the FPPSM Project ``Forests, Parks,
   Poverty in South Madagascar{''} from FSP/PARRUR, French Ministry of
   Foreign Affairs MAE (2011-2014), which funded the fieldwork; and the
   National Commission for Scientific and Technological Research of Chile
   (CONICYT- PAI/INDUSTRIA 79090016), which offered scholarship to
   Alejandro Venegas-Gonzalez.}},
Cited-References = {{ANDRIAHARIMALALA T., 2012, MALAGASY NATURE, V6, P24.
   Borchert R, 1999, IAWA J, V20, P239, DOI 10.1163/22941932-90000687.
   BORCHERT R, 1994, ECOLOGY, V75, P1437, DOI 10.2307/1937467.
   Brauning A., 2010, TRACE TREE RINGS ARC, V8, P146.
   Brienen RJW, 2005, OECOLOGIA, V146, P1, DOI 10.1007/s00442-005-0160-y.
   Burnel L, 2009, CAH TECH INRA, V66, P5.
   Camberlin P, 2001, INT J CLIMATOL, V21, P973, DOI 10.1002/joc.673.
   COOK ER, 1999, USER MANUAL PROGRAM.
   Couralet C, 2010, BIOTROPICA, V42, P503, DOI 10.1111/j.1744-7429.2009.00613.x.
   David ET, 2014, TREE-RING RES, V70, P119, DOI 10.3959/1536-1098-70.2.119.
   De Micco V, 2016, IAWA J, V37, P232, DOI 10.1163/22941932-20160132.
   De Ridder M, 2014, FORESTS, V5, P3087, DOI 10.3390/f5123087.
   De Ridder M, 2013, FOREST ECOL MANAG, V304, P417, DOI 10.1016/j.foreco.2013.05.007.
   De Ridder M, 2013, TREES-STRUCT FUNCT, V27, P1225, DOI 10.1007/s00468-01

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