text:
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Number-of-Cited-References = {{67}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{10}},
Journal-ISO = {{J. Ind. Ecol.}},
Doc-Delivery-Number = {{GQ3OI}},
Unique-ID = {{ISI:000441574100022}},
DA = {{2020-08-06}},
}

@article{ ISI:000440826000012,
Author = {Kayano, Mary Toshie and Andreoli, Rita Valeria and Garcia, Samia Regina
   and Ferreira de Souza, Rodrigo Augusto},
Title = {{How the two nodes of the tropical Atlantic sea surface temperature
   dipole relate the climate of the surrounding regions during austral
   autumn}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2018}},
Volume = {{38}},
Number = {{10}},
Pages = {{3927-3941}},
Month = {{AUG}},
Abstract = {{The relations of both nodes of the tropical Atlantic (TA)
   cross-equatorial sea surface temperature (SST) gradient (GRAD) mode to
   the climate of northeast Brazil (NEB) during the 1901-2012 period are
   examined separately. The GRAD mode consists of a SST anomalous pattern
   anti-symmetric about the equator with centres in the region of the
   northeasterly and southwesterly trade winds. The positive GRAD (PGRAD)
   (negative GRAD {[}NGRAD]) modes defined by their northern or southern
   nodes are considered separately, as well as, if they are preceded or not
   by an El Nino (EN) (a La Nina, LN). The PGRAD mode defined by the
   northern (southern) node and preceded by an EN is indicated by
   PGRAD\_TNA\_EN (PGRAD\_TSA\_EN), and that not preceded by an EN is
   indicated by PGRAD\_TNA (PGRAD\_TSA). The corresponding NGRAD modes are
   indicated by NGRAD\_TNA\_LN, NGRAD\_TSA\_LN, NGRAD\_TNA and NGRAD\_TSA.
   Our analysis is limited to the NEB rainy season (March-May), when the
   GRAD mode is more pronounced and the NEB rainfall is more closely
   related to the TA SST variations. In general, the South Atlantic
   subtropical high is crucial in defining the cross-equatorial flow,
   responsible for the anomalous meridional positioning of the Atlantic
   inter-tropical convergence zone. When a positive (negative) dipole-like
   SST anomaly pattern is established in the TA, the negative (positive)
   rainfall anomalies occupy most of NEB. This is the case of the
   PGRAD\_TSA\_EN, PGRAD\_TNA, NGRAD\_TSA\_LN and NGRAD\_TNA\_LN. Most of
   the GRAD modes defined by TNA are also related to the El Nino-Southern
   Oscillation (ENSO), in such a way that an EN (a LN) precedes a PGRAD
   (NGRAD) event, and most of the GRAD modes defined by TSA do not depend
   on the ENSO. Also, the PGRAD events are well distributed during both
   Atlantic multidecadal oscillation phases and the NGRAD events occur
   preferably during its cold phase.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Kayano, MT (Corresponding Author), Ctr Previsao Tempo \& Estudos Climat, Inst Nacl Pesquisas Espaciais, Ave Astronautas 1758, BR-12227010 Sao Jose Dos Campos, SP, Brazil.
   Kayano, Mary Toshie, Ctr Previsao Tempo \& Estudos Climat, Inst Nacl Pesquisas Espaciais, Ave Astronautas 1758, BR-12227010 Sao Jose Dos Campos, SP, Brazil.
   Andreoli, Rita Valeria; Ferreira de Souza, Rodrigo Augusto, Univ Estado Amazonas, Escola Super Tecnol, Manaus, Amazonas, Brazil.
   Garcia, Samia Regina, Univ Fed Sao Paulo, Sao Jose Dos Campos, Brazil.}},
DOI = {{10.1002/joc.5545}},
ISSN = {{0899-8418}},
EISSN = {{1097-0088}},
Keywords = {{climatology; climate variability; cross-equatorial mode; precipitation;
   South America; tropical Atlantic}},
Keywords-Plus = {{GENERAL-CIRCULATION MODEL; NINO-SOUTHERN-OSCILLATION; NORTHEAST BRAZIL;
   PART I; MULTIDECADAL OSCILLATION; INTERANNUAL VARIABILITY; ENSO
   TELECONNECTION; DECADAL VARIABILITY; RAINFALL ANOMALIES; SST GRADIENT}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{mary.kayano@inpe.br}},
ResearcherID-Numbers = {{Kayano, Mary T/U-5716-2017}},
ORCID-Numbers = {{Kayano, Mary T/0000-0002-2516-295X}},
Funding-Acknowledgement = {{Conselho Nacional de Desenvolvimento Cientifico e TecnologicoNational
   Council for Scientific and Technological Development (CNPq)
   {[}302679/2013-8, 485344/2013-0, 305942/2015-8]}},
Funding-Text = {{Conselho Nacional de Desenvolvimento Cientifico e Tecnologico,
   Grant/Award Number: 302679/2013-8, 485344/2013-0, 305942/2015-8,
   302679/2013-8}},
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Number-of-Cited-References = {{73}},
Times-Cited = {{6}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{4}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{GP4IW}},
Unique-ID = {{ISI:000440826000012}},
DA = {{2020-08-06}},
}

@article{ ISI:000440089100009,
Author = {Konapala, Goutam and Veettil, Anoop Valiya and Mishra, Ashok K.},
Title = {{Teleconnection between low flows and large-scale climate indices in
   Texas River basins}},
Journal = {{STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT}},
Year = {{2018}},
Volume = {{32}},
Number = {{8}},
Pages = {{2337-2350}},
Month = {{AUG}},
Abstract = {{Understanding low flow variability is critical for assessing water
   quality and health of riverine ecosystems in a river basin. Low flows
   are dependent on human water abstraction as well as the climate
   variability. This paper investigates the changing nature of low flows
   and their association with large-scale climate variability for different
   watersheds in the State of Texas, USA. For this purpose, we employed
   trend, wavelet analysis and linear as well as nonlinear correlations to
   identify important changes in low flow characteristics for three
   stream-gauging stations selected from different (i.e. Brazos, Colorado
   and Trinity) river basins located in Texas for the time period of
   1916-1959 and 1960-2003. We also investigated the teleconnections
   between low flow variables and the large-scale climate indices (NINO
   3.4, SOI and PDO) using cross wavelet analysis as well as their linear
   and non-linear correlation relationship. Our results indicated that the
   low flow magnitudes have shown considerable different characteristics
   for selected river basins during two separate time periods (1916-1959
   and 1960-2003). Based on cross wavelet analysis, we identified that the
   low flows in selected stations of Colorado and Trinity River basins are
   likely to be influenced by all three large-scale climate indices. In
   addition to that, we identified that low flows are more nonlinearly
   associated with climate indices. Among the selected River basins, the
   stronger association between low flows and large scale climate indices
   are observed for Trinity River basin. The results from this study can
   help in better understanding of low flow hydrology and their potential
   relationship with large scale indices.}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Mishra, AK (Corresponding Author), Clemson Univ, Glenn Dept Civil Engn, Clemson, SC 29634 USA.
   Konapala, Goutam; Veettil, Anoop Valiya; Mishra, Ashok K., Clemson Univ, Glenn Dept Civil Engn, Clemson, SC 29634 USA.}},
DOI = {{10.1007/s00477-017-1460-6}},
ISSN = {{1436-3240}},
EISSN = {{1436-3259}},
Keywords = {{Low flows; Large scale climatic indices; Teleconnection}},
Keywords-Plus = {{NINO-SOUTHERN-OSCILLATION; ATLANTIC MULTIDECADAL OSCILLATION; EXTREME
   PRECIPITATION EVENTS; WESTERN UNITED-STATES; WAVELET ANALYSIS;
   STREAMFLOW VARIABILITY; GLOBAL PERSPECTIVE; FREQUENCY-ANALYSIS;
   NEURAL-NETWORK; WATER SECURITY}},
Research-Areas = {{Engineering; Environmental Sciences \& Ecology; Mathematics; Water
   Resources}},
Web-of-Science-Categories  = {{Engineering, Environmental; Engineering, Civil; Environmental Sciences;
   Statistics \& Probability; Water Resources}},
Author-Email = {{akm.pce@gmail.com}},
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Number-of-Cited-References = {{97}},
Times-Cited = {{6}},
Usage-Count-Last-180-days = {{8}},
Usage-Count-Since-2013 = {{22}},
Journal-ISO = {{Stoch. Environ. Res. Risk Assess.}},
Doc-Delivery-Number = {{GO5TC}},
Unique-ID = {{ISI:000440089100009}},
DA = {{2020-08-06}},
}

@article{ ISI:000439671200049,
Author = {Turner, Karen and Alabi, Oluwafisayo and Smith, Martin and Irvine, John
   and Dodds, Paul E.},
Title = {{Framing policy on low emissions vehicles in terms of economic gains:
   Might the most straightforward gain be delivered by supply chain
   activity to support refuelling?}},
Journal = {{ENERGY POLICY}},
Year = {{2018}},
Volume = {{119}},
Pages = {{528-534}},
Month = {{AUG}},
Abstract = {{A core theme of the UK Government's new Industrial Strategy is
   exploiting opportunities for domestic supply chain development. This
   extends to a special `Automotive Sector Deal' that focuses on the shift
   to low emissions vehicles (LEVs). Here attention is on electric vehicle
   and battery production and innovation. In this paper, we argue that a
   more straightforward gain in terms of framing policy around potential
   economic benefits may be made through supply chain activity to support
   refuelling of battery/hydrogen vehicles. We set this in the context of
   LEV refuelling supply chains potentially replicating the strength of
   domestic upstream linkages observed in the UK electricity and/or gas
   industries. We use input-output multiplier analysis to deconstruct and
   assess the structure of these supply chains relative to that of more
   import-intensive petrol and diesel supply. A crucial multiplier result
   is that for every 1million pound of spending on electricity (or gas), 8
   full-time equivalent jobs are supported throughout the UK. This compares
   to less than 3 in the case of petrol/diesel supply. Moreover, the
   importance of service industries becomes apparent, with 67\% of indirect
   and induced supply chain employment to support electricity generation
   being located in services industries. The comparable figure for GDP is
   42\%.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Turner, K (Corresponding Author), Univ Strathclyde, Int Publ Policy Inst, Ctr Energy, McCance Bldg,16 Richmond St, Glasgow G1 1XQ, Lanark, Scotland.
   Turner, Karen; Alabi, Oluwafisayo, Univ Strathclyde, Int Publ Policy Inst, Ctr Energy, McCance Bldg,16 Richmond St, Glasgow G1 1XQ, Lanark, Scotland.
   Smith, Martin; Irvine, John, Univ St Andrews, St Andrews Ctr Adv Mat, Sch Chem, Purdie Bldg, St Andrews KY16 9ST, Fife, Scotland.
   Dodds, Paul E., UCL, Fac Built Environm, Bartlett Sch Environm Energy \& Resources, Gower St, London WC1E 6BT, England.}},
DOI = {{10.1016/j.enpol.2018.05.011}},
ISSN = {{0301-4215}},
EISSN = {{1873-6777}},
Keywords = {{Electric vehicles; Input-output model; Multipliers; Value-added
   multiplier; Employment multiplier; Supply chain development}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; ELECTRIC VEHICLES; IMPACT; HYBRID; MODELS}},
Research-Areas = {{Business \& Economics; Energy \& Fuels; Environmental Sciences \&
   Ecology}},
Web-of-Science-Categories  = {{Economics; Energy \& Fuels; Environmental Sciences; Environmental
   Studies}},
Author-Email = {{karen.turner@strath.ac.uk}},
ORCID-Numbers = {{Dodds, Paul/0000-0003-1476-1137
   Irvine, John/0000-0002-8394-3359}},
Funding-Acknowledgement = {{EPSRC Hydrogen and Fuel Cell Research Hub research programmeEngineering
   \& Physical Sciences Research Council (EPSRC) {[}EP/J016454/1]}},
Funding-Text = {{The work reported here is a result of the EPSRC Hydrogen and Fuel Cell
   Research Hub research programme (Grant ref. EP/J016454/1).}},
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Number-of-Cited-References = {{25}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{12}},
Journal-ISO = {{Energy Policy}},
Doc-Delivery-Number = {{GO0XY}},
Unique-ID = {{ISI:000439671200049}},
OA = {{Green Published, Other Gold, Green Accepted}},
DA = {{2020-08-06}},
}

@article{ ISI:000439440200012,
Author = {Jiang, Leishan and Li, Tim},
Title = {{Why rainfall response to El Nio over Maritime Continent is weaker and
   non-uniform in boreal winter than in boreal summer}},
Journal = {{CLIMATE DYNAMICS}},
Year = {{2018}},
Volume = {{51}},
Number = {{4}},
Pages = {{1465-1483}},
Month = {{AUG}},
Abstract = {{Why rainfall response to El Nio is uniform and stronger over the
   Maritime Continent (MC) during El Nio developing summer and fall but is
   weaker and non-uniform during El Nio mature winter is investigated
   through the diagnosis of anomalous large-scale circulation patterns and
   a local moisture budget analysis. It is found that when anomalous Walker
   cells across the equatorial Pacific and Indian Ocean are strengthened
   toward El Nio mature winter, a low-level ascending motion anomaly starts
   to develop over western MC in northern fall due to topographic lifting
   (near Sumatra) and anomalous wind convergence (near west Kalimantan).
   Easterly anomalies, as a part of an anomalous anticyclone in South China
   Sea (SCS) that is developed during El Nio and a part of the
   south-easterly from Java Sea associated with anomalous Walker
   Circulation, bump into the mountain ridge of Sumatra and induce
   ascending motion anomalies near Sumatra. Meanwhile, the anomalous
   north-easterly in the southern flank of the anomalous anticyclone over
   SCS and south-easterly over Java Sea converge into west Kalimantan,
   leading to ascending motion there. The anomalous ascending motion tend
   to advect mean moisture upward to moisten lower troposphere in situ.
   This low-level moistening eventually sets up a convectively unstable
   stratification and induces a positive precipitation anomaly in the
   western MC. How the mechanism discussed here is relevant to previous
   hypotheses and how processes during El Nio might differ during La Nia
   are discussed.}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Li, T (Corresponding Author), Nanjing Univ Informat Sci \& Technol, Joint Int Res Lab Climate \& Environm Change ILCEC, Key Lab Meteorol Disaster, Minist Educ KLME,CIC FEMD, Nanjing, Jiangsu, Peoples R China.
   Li, T (Corresponding Author), Univ Hawaii Manoa, Dept Atmospher Sci, Honolulu, HI 96822 USA.
   Jiang, Leishan; Li, Tim, Nanjing Univ Informat Sci \& Technol, Joint Int Res Lab Climate \& Environm Change ILCEC, Key Lab Meteorol Disaster, Minist Educ KLME,CIC FEMD, Nanjing, Jiangsu, Peoples R China.
   Jiang, Leishan; Li, Tim, Univ Hawaii Manoa, Dept Atmospher Sci, Honolulu, HI 96822 USA.}},
DOI = {{10.1007/s00382-017-3965-6}},
ISSN = {{0930-7575}},
EISSN = {{1432-0894}},
Keywords = {{El Nino; Maritime Continent; Rainfall; Topographic lifting}},
Keywords-Plus = {{WESTERN NORTH PACIFIC; EAST ASIAN TELECONNECTION; NINO
   SOUTHERN-OSCILLATION; INDIAN-OCEAN; PART II; INTERDECADAL VARIATIONS;
   TEMPERATURE-VARIATIONS; ANOMALOUS ANTICYCLONE; ENSO; MONSOON}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{leishanj@hawaii.edu
   timli@hawaii.edu}},
Funding-Acknowledgement = {{NSFC projectNational Natural Science Foundation of China {[}41630423];
   National Key RD Program {[}2017YFA0603802, 2015CB453200]; NSFNational
   Science Foundation (NSF) {[}AGS-1565653]; Jiangsu project
   {[}BK20150062]; Jiangsu Shuang-Chuang Team {[}R2014SCT001]; Priority
   Academic Program Development of Jiangsu Higher Education Institutions
   (PAPD)}},
Funding-Text = {{This work was supported by NSFC project 41630423, National Key R\&D
   Program 2017YFA0603802 and 2015CB453200, NSF AGS-1565653, Jiangsu
   project BK20150062, Jiangsu Shuang-Chuang Team (R2014SCT001) and the
   Priority Academic Program Development of Jiangsu Higher Education
   Institutions (PAPD). This is SOEST contribution number 1234, IPRC
   contribution number 1234, and ESMC contribution 123.}},
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Number-of-Cited-References = {{43}},
Times-Cited = {{8}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{9}},
Journal-ISO = {{Clim. Dyn.}},
Doc-Delivery-Number = {{GN8RY}},
Unique-ID = {{ISI:000439440200012}},
DA = {{2020-08-06}},
}

@article{ ISI:000439440200013,
Author = {Lu, Mengmeng and Yang, Song and Li, Zhenning and He, Bian and He, Shan
   and Wang, Ziqian},
Title = {{Possible effect of the Tibetan Plateau on the ``upstream{''} climate
   over West Asia, North Africa, South Europe and the North Atlantic}},
Journal = {{CLIMATE DYNAMICS}},
Year = {{2018}},
Volume = {{51}},
Number = {{4}},
Pages = {{1485-1498}},
Month = {{AUG}},
Abstract = {{We conduct several experiments using a fully-coupled climate model to
   understand the role of Tibetan Plateau (TP) surface heating in the
   climate variations over West Asia, South Europe, North Africa, and the
   North Atlantic during summer. Emphasis has been placed on the physical
   processes and responsible mechanisms that involve the shift of the
   Hadley cell and the important features of rotational and divergent
   response of the atmosphere to the TP heating. The relative importance of
   the TP to the Asian continent is also analyzed. A heating of the TP
   surface leads to local increases in tropospheric temperature and the
   thickness of the air column due to the so-called air pumping effect. In
   the upper troposphere, the South Asian high intensifies and extends
   westward. To the west of TP, especially in West Asia, South Europe,
   North Africa, and the North Atlantic, distinguished Rossby wave
   responses to the TP heating occur with anomalous high pressure and
   uniform warming in the entire troposphere. Correspondingly, descending
   motions intensify and precipitation decreases. However, the tropical
   Sahel rainfall increases because of a northward shift of the Atlantic
   intertropical convergence zone and the anomalous westerlies due to the
   weakening of the southeastern portion of the Atlantic subtropical high.
   These effects of the TP heating explain a remarkable portion of the
   effects by the Asian continent heating. In addition, the impacts of
   different magnitudes of TP surface heating are also discussed.}},
Publisher = {{SPRINGER}},
Address = {{ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES}},
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.
   Lu, Mengmeng; Yang, Song; Li, Zhenning; He, Shan; Wang, Ziqian, Sun Yat Sen Univ, Sch Atmospher Sci, 135 West Xingang Rd, Guangzhou 510275, Guangdong, Peoples R China.
   Yang, Song; Wang, Ziqian, 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.
   He, Bian, Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci \& Geop, Beijing, Peoples R China.}},
DOI = {{10.1007/s00382-017-3966-5}},
ISSN = {{0930-7575}},
EISSN = {{1432-0894}},
Keywords = {{Tibetan plateau; Heating and response; Atmospheric teleconnection;
   Climate variations}},
Keywords-Plus = {{LARGE-SCALE OROGRAPHY; SUMMER CLIMATE; HEAT-SOURCE; SNOW COVER; MONSOON;
   IMPACT; PRECIPITATION; EXCITATION; PATTERNS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{yangsong3@mail.sysu.edu.cn}},
ResearcherID-Numbers = {{何, 编/O-5907-2014
   }},
ORCID-Numbers = {{He, Shan/0000-0002-9647-4571}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}91637208]; National Key Scientific Research Plan
   of China {[}2014CB953904]; National Key Research and Development Program
   of China {[}2016YFA0602703]; Jiangsu Collaborative Innovation Center for
   Climate Change}},
Funding-Text = {{We thank the two anonymous reviewers for their valuable comments and
   constructive suggestions for improving the overall quality of this
   paper. We also appreciate the effective discussions with Prof. Wen Zhou
   of the City University of Hong Kong, Prof. Bohua Huang of the George
   Mason University, Prof. Eric Maloney of the Colorado State University,
   Prof. Wenhong Li of the Duke University, and Dr. Qing Bao of the Chinese
   Academy of Sciences. This study was supported by the National Natural
   Science Foundation of China (Grant 91637208), the National Key
   Scientific Research Plan of China (Grant 2014CB953904), the National Key
   Research and Development Program of China (2016YFA0602703), and the
   Jiangsu Collaborative Innovation Center for Climate Change.}},
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Number-of-Cited-References = {{45}},
Times-Cited = {{7}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{10}},
Journal-ISO = {{Clim. Dyn.}},
Doc-Delivery-Number = {{GN8RY}},
Unique-ID = {{ISI:000439440200013}},
OA = {{Other Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000439440200016,
Author = {Danco, James F. and Martin, Elinor R.},
Title = {{Understanding the influence of ENSO on the Great Plains low-level jet in
   CMIP5 models}},
Journal = {{CLIMATE DYNAMICS}},
Year = {{2018}},
Volume = {{51}},
Number = {{4}},
Pages = {{1537-1558}},
Month = {{AUG}},
Abstract = {{The Great Plains Low-Level Jet (GPLLJ) is an important driver of
   precipitation and severe weather outbreaks over the US Great Plains and
   undergoes large interannual variability. Therefore, to reliably make
   predictions and projections of Great Plains precipitation, it is
   essential for the observed influence of ENSO on the GPLLJ to be
   understood and simulated accurately by global climate models. This study
   uses four reanalyzes and an ensemble of 42 historical simulations from
   phase 5 of the Coupled Model Intercomparison Project (CMIP5) to
   investigate the accuracy of the simulated ENSO-GPLLJ teleconnection.
   From observations, winter ENSO has a significant negative correlation
   with the GPLLJ in the following spring and a significant positive
   correlation with the GPLLJ in the following summer. Here, it is shown
   that the influence of ENSO is on the frequency, not intensity, of GPLLJ
   events in the spring, while both the frequency and intensity of GPLLJ
   events are affected in the summer. However, although the majority of
   CMIP5 historical simulations exhibit the observed significant negative
   ENSO-GPLLJ correlations in the spring, nearly all of them fail to
   simulate the significant positive correlation in the summer. The ability
   of the models to simulate the ENSO-GPLLJ relationship is attributed to
   the strength of simulated ENSO events and the associated effects on
   geopotential heights and atmospheric circulation. These results have
   implications for the predictability of weather and climate in the Great
   Plains and suggest that the variability of the GPLLJ will not be
   reliably captured in future climate simulations if the magnitude of ENSO
   events and their impacts are not well represented.}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Danco, JF (Corresponding Author), Univ Oklahoma, Sch Meteorol, 120 David L Boren Blvd, Norman, OK 73072 USA.
   Danco, James F.; Martin, Elinor R., Univ Oklahoma, Sch Meteorol, 120 David L Boren Blvd, Norman, OK 73072 USA.
   Martin, Elinor R., Univ Oklahoma, South Cent Climate Sci Ctr, Norman, OK 73019 USA.}},
DOI = {{10.1007/s00382-017-3970-9}},
ISSN = {{0930-7575}},
EISSN = {{1432-0894}},
Keywords = {{Great Plains low-level jet; CMIP5; ENSO}},
Keywords-Plus = {{CLIMATE-CHANGE PROJECTIONS; EARTH SYSTEM MODEL; COUPLED MODEL; PART I;
   PRECIPITATION; VARIABILITY; VERSION; SIMULATIONS; CIRCULATION; TRENDS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{jdanco@ou.edu}},
ResearcherID-Numbers = {{Martin, Elinor R/H-5781-2012
   }},
ORCID-Numbers = {{Danco, James/0000-0003-3436-5481}},
Funding-Acknowledgement = {{US Department of Energy, Office of Science Biological and Environmental
   Research (BER)United States Department of Energy (DOE); National Oceanic
   and Atmospheric Administration Climate Program OfficeNational Oceanic
   Atmospheric Admin (NOAA) - USA}},
Funding-Text = {{The authors thank the anonymous reviewer for thoughtful comments and
   suggestions that greatly strengthened the manuscript. We acknowledge the
   World Climate Research Programme's Working Group on Coupled Modelling,
   which is responsible for CMIP5, and thank the climate modeling groups
   for producing and making available their model output. For CMIP5, the US
   Department of Energy's Program for Climate Model Diagnosis and
   Intercomparison provides coordinating support and led development of
   software infrastructure in partnership with the Global Organization for
   Earth System Science Portals. Support for the Twentieth Century
   Reanalysis Project version 2c dataset is provided by the US Department
   of Energy, Office of Science Biological and Environmental Research
   (BER), and by the National Oceanic and Atmospheric Administration
   Climate Program Office. ERA20C and ERA-Interim data is provided courtesy
   of ECMWF,and CFSR data is carried out by the Environmental Modeling
   Center (EMC), National Centers for Environmental Prediction (NCEP). We
   also acknowledge the Met Office Hadley Centre for providing HadISST1
   data.}},
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Number-of-Cited-References = {{58}},
Times-Cited = {{3}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{1}},
Journal-ISO = {{Clim. Dyn.}},
Doc-Delivery-Number = {{GN8RY}},
Unique-ID = {{ISI:000439440200016}},
DA = {{2020-08-06}},
}

@article{ ISI:000438704200001,
Author = {Wang, Ziqian and Yang, Song and Lau, Ngar-Cheung and Duan, Anmin},
Title = {{Teleconnection between Summer NAO and East China Rainfall Variations: A
   Bridge Effect of the Tibetan Plateau}},
Journal = {{JOURNAL OF CLIMATE}},
Year = {{2018}},
Volume = {{31}},
Number = {{16}},
Pages = {{6433-6444}},
Month = {{AUG}},
Abstract = {{Although the impact of the North Atlantic Oscillation (NAO), especially
   the antecedent NAO in winter and spring, on East Asian summer climate
   has been studied extensively, the possible connection from the summer
   NAO (SNAO) and then the Tibetan Plateau (TP) to East China summer
   rainfall remains unclear. This study reveals that on interannual time
   scales the SNAO is significantly correlated with the variations of East
   China summer rainfall and the thermal forcing of the TP provides an
   intermediate bridge effect in this Eurasian teleconnection. The SNAO
   primarily regulates the rainfall variability over the TP through
   large-scale wave trains and the TP rainfall anomalies in turn lead to a
   change in local diabatic heating, which excites Rossby waves to the
   downstream regions. To the northeast of the TP, an anomalous barotropic
   cyclone is formed in the nearly entire troposphere, generating low-level
   northerly flow anomalies over northern China. Meanwhile, the TP heating
   also induces low-level southerly flow anomalies over southern China. The
   anomalous northerly and southerly winds converge in the lower
   troposphere, enhancing the summer rainfall over central East China.
   Compared to the SNAO, the TP thermal forcing exerts a more direct impact
   on the variations of East China summer rainfall in the Eurasian
   teleconnection discussed.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Yang, S (Corresponding Author), Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou, 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.
   Wang, Ziqian; Yang, Song, Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou, Guangdong, Peoples R China.
   Wang, Ziqian; Yang, Song, Sun Yat Sen Univ, Guangdong Prov Key Lab Climate Change \& Nat Disas, Guangzhou, Guangdong, Peoples R China.
   Lau, Ngar-Cheung, Chinese Univ Hong Kong, Inst Environm Energy \& Sustainabil, Hong Kong, Hong Kong, Peoples R China.
   Duan, Anmin, Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci \& Geop, Beijing, Peoples R China.}},
DOI = {{10.1175/JCLI-D-17-0413.1}},
ISSN = {{0894-8755}},
EISSN = {{1520-0442}},
Keywords = {{Climate variability; Interannual variability}},
Keywords-Plus = {{NORTH-ATLANTIC OSCILLATION; HEAT-SOURCE; SENSIBLE HEAT; MONSOON;
   PRECIPITATION; VARIABILITY; CLIMATE; CIRCULATION; TRENDS; IMPACT}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{yangsong3@mail.sysu.edu.cn}},
ResearcherID-Numbers = {{Duan, Anmin/AAJ-5389-2020}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}91637208, 41605038]; National Key Scientific
   Research Plan of China {[}2014CB953900]; Natural Science Foundation of
   Guangdong ProvinceNational Natural Science Foundation of Guangdong
   Province {[}2015A030310224]}},
Funding-Text = {{We are grateful to Editor Dr. Mathew Barlow and three reviewers who
   provided thoughtful comments and valuable suggestions on this paper. We
   also appreciate the effective discussions with Prof. Chris Folland from
   the Met Office Hadley Centre and Dr. Senfeng Liu from the Institute of
   Atmospheric Physics, Chinese Academy of Sciences. This work was
   supported jointly by the National Natural Science Foundation of China
   (Grants 91637208 and 41605038), the National Key Scientific Research
   Plan of China (Grant 2014CB953900), and the Natural Science Foundation
   of Guangdong Province (Grant 2015A030310224).}},
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Number-of-Cited-References = {{44}},
Times-Cited = {{6}},
Usage-Count-Last-180-days = {{15}},
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Journal-ISO = {{J. Clim.}},
Doc-Delivery-Number = {{GN0XP}},
Unique-ID = {{ISI:000438704200001}},
DA = {{2020-08-06}},
}

@article{ ISI:000438704200003,
Author = {Ludert, Alejandro and Wang, Bin and Merrifield, Mark A.},
Title = {{Characterization of Dry Conditions across the US-Affiliated Pacific
   Islands during Near-Neutral ENSO Phases}},
Journal = {{JOURNAL OF CLIMATE}},
Year = {{2018}},
Volume = {{31}},
Number = {{16}},
Pages = {{6461-6480}},
Month = {{AUG}},
Abstract = {{The U.S.-Affiliated Pacific Islands (USAPIs), located in the tropical
   western Pacific, are very susceptible to severe drought. Dry season
   (December-May) rainfall anomalies have different relationships to ENSO
   for USAPIs north and south of 7 degrees N. South of 7 degrees N,
   rainfall exhibits a canonical negative correlation with the Oceanic Nino
   Index (ONI) (i.e., dry conditions during warm periods). To the north,
   the dry season falls into either canonical or noncanonical (positively
   correlated with ONI) regimes. Noncanonical years pose an important
   forecasting challenge as severe droughts have occurred during cool ONI
   conditions (referred to here as cool dry cases). Composite analysis of
   the two regimes shows that for noncanonical cool dry years, anticyclonic
   circulation anomalies over the tropical western North Pacific (TWNP),
   with a band of anomalous dry conditions extending from the central
   Pacific toward Micronesia, result in unexpected droughts. In contrast,
   canonical cool wet events show cyclonic TWNP circulation and increased
   rainfall over the northern USAPIs. Maximum SST anomalies are located
   near the date line during noncanonical years, and farther east during
   canonical years. While both regimes show negative rainfall and TWNP
   anticyclonic circulation anomalies before the onset of the December-May
   dry season, during the dry season these anomalies persist during
   noncanonical events but rapidly reverse sign during canonical events.
   SST anomalies in the noncanonical regime extend eastward from the
   central Pacific rather than intensify in place over the eastern Pacific
   in the canonical regime. Differences in the evolution of circulation,
   precipitation, and SST anomalies suggest distinct physical mechanisms
   governing the two ENSO regimes, with possible ramifications for seasonal
   forecasts.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Ludert, A (Corresponding Author), Univ Hawaii Manoa, Dept Atmospher Sci, Honolulu, HI 96822 USA.
   Ludert, A (Corresponding Author), Univ Hawaii Manoa, Pacific ENSO Applicat Climate Ctr, Honolulu, HI 96822 USA.
   Ludert, Alejandro; Wang, Bin, Univ Hawaii Manoa, Dept Atmospher Sci, Honolulu, HI 96822 USA.
   Ludert, Alejandro, Univ Hawaii Manoa, Pacific ENSO Applicat Climate Ctr, Honolulu, HI 96822 USA.
   Wang, Bin, Nanjing Univ Informat Sci \& Technol, Earth Syst Modeling Ctr, Nanjing, Jiangsu, Peoples R China.
   Merrifield, Mark A., Univ Hawaii Manoa, Dept Oceanog, Honolulu, HI 96822 USA.}},
DOI = {{10.1175/JCLI-D-17-0561.1}},
ISSN = {{0894-8755}},
EISSN = {{1520-0442}},
Keywords = {{Atmosphere; Pacific Ocean; ENSO; La Nina; Precipitation}},
Keywords-Plus = {{NINO-SOUTHERN-OSCILLATION; SEA-SURFACE TEMPERATURE; EAST ASIAN
   TELECONNECTION; WESTERN NORTH PACIFIC; TONGUE EL-NINO; WARM POOL;
   EVENTS; IMPACTS; CLIMATE; MODOKI}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{aludert@hawaii.edu}},
Funding-Acknowledgement = {{Joint Institute for Marine and Atmospheric Research (JIMAR)
   {[}NA17RJ1230]; National Oceanic and Atmospheric Administration
   (NOAA)National Oceanic Atmospheric Admin (NOAA) - USA {[}NA17RJ1230];
   National Science Foundation (Climate Dynamics Division) {[}AGS-1540783]}},
Funding-Text = {{This project was funded by cooperative agreement NA17RJ1230 between the
   Joint Institute for Marine and Atmospheric Research (JIMAR) and the
   National Oceanic and Atmospheric Administration (NOAA). The views
   expressed herein do not necessarily reflect the views of NOAA or any of
   its subdivisions. We thank the reviewers for their thoughtful and
   through review of this manuscript and in particular Reviewer \#2 for
   supplying additional rainfall data for Wotje. Bin Wang acknowledges the
   support from National Science Foundation (Climate Dynamics Division)
   Award AGS-1540783. This is SOEST publication 10364, IPRC publication
   1321, and ESMC publication 215.}},
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