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Number-of-Cited-References = {{67}},
Times-Cited = {{11}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{17}},
Journal-ISO = {{Clim. Dyn.}},
Doc-Delivery-Number = {{GJ6VH}},
Unique-ID = {{ISI:000435522000002}},
OA = {{Green Accepted}},
DA = {{2020-08-06}},
}

@article{ ISI:000435522000003,
Author = {Yang, Zifan and Huang, Wenyu and Wang, Bin and Chen, Ruyan and Wright,
   Jonathon S. and Ma, Wenqian},
Title = {{Possible mechanisms for four regimes associated with cold events over
   East Asia}},
Journal = {{CLIMATE DYNAMICS}},
Year = {{2018}},
Volume = {{51}},
Number = {{1-2}},
Pages = {{35-56}},
Month = {{JUL}},
Abstract = {{Circulation patterns associated with cold events over East Asia during
   the winter months of 1948-2014 are classified into four regimes by
   applying a k-means clustering method based on the area-weighted pattern
   correlation. The earliest precursor signals for two regimes are
   anticyclonic anomalies, which evolve into Ural and central Siberian
   blocking-like circulation patterns. The earliest precursor signals for
   the other two regimes are cyclonic anomalies, both of which evolve to
   amplify the East Asian trough (EAT). Both the blocking-like circulation
   patterns and amplified EAT favor the initialization of cold events. On
   average, the blocking-related regimes tend to last longer. The lead time
   of the earliest precursor signal for the central Siberian
   blocking-related regime is only 4 days, while those for the other
   regimes range from 16 to 18 days. The North Atlantic Oscillation plays
   essential roles both in triggering the precursor for the Ural
   blocking-related regime and in amplifying the precursors for all
   regimes. All regimes preferentially occur during the positive phase of
   the Eurasian teleconnection pattern and the negative phase of the El
   Nio-Southern Oscillation. For three regimes, surface cooling is
   primarily due to reduced downward infrared radiation and enhanced cold
   advection. For the remaining regime, which is associated with the
   southernmost cooling center, sensible and latent heat release and
   horizontal cold advection dominate the East Asian cooling.}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Huang, WY (Corresponding Author), Tsinghua Univ, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China.
   Huang, WY (Corresponding Author), Tsinghua Univ, DESS, Beijing 100084, Peoples R China.
   Yang, Zifan; Huang, Wenyu; Wang, Bin; Chen, Ruyan; Wright, Jonathon S.; Ma, Wenqian, Tsinghua Univ, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China.
   Yang, Zifan; Huang, Wenyu; Wang, Bin; Chen, Ruyan; Wright, Jonathon S.; Ma, Wenqian, Tsinghua Univ, DESS, Beijing 100084, Peoples R China.
   Wang, Bin, Chinese Acad Sci, IAP, State Key Lab Numer Modeling Atmospher Sci \& Geop, Beijing 100029, Peoples R China.}},
DOI = {{10.1007/s00382-017-3905-5}},
ISSN = {{0930-7575}},
EISSN = {{1432-0894}},
Keywords = {{Cold events; Clustering; Earliest precursor; Lead time; North Atlantic
   oscillation}},
Keywords-Plus = {{NORTH-ATLANTIC OSCILLATION; PLANETARY WAVE ACTIVITY; WINTER MONSOON;
   ARCTIC OSCILLATION; INTERANNUAL VARIATION; URAL BLOCKING; PART I;
   INTRASEASONAL AMPLIFICATION; ATMOSPHERIC CIRCULATION; TELECONNECTION
   PATTERNS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{huangwenyu@mail.tsinghua.edu.cn}},
ResearcherID-Numbers = {{Huang, Wenyu/M-7584-2014
   Huang, Wenyu/J-4257-2019
   Wang, Bin/P-9121-2014
   }},
ORCID-Numbers = {{Huang, Wenyu/0000-0001-9722-5502
   Huang, Wenyu/0000-0001-9722-5502
   Wang, Bin/0000-0001-7374-3786
   Wright, Jonathon/0000-0001-6551-7017}},
Funding-Acknowledgement = {{National Basic Research Program of ChinaNational Basic Research Program
   of China {[}2015CB953703, 2014CB441302]; National Natural Science
   Foundation of ChinaNational Natural Science Foundation of China
   {[}41505063]; China Meteorological Welfare Research Fund
   {[}GYHY201406007]}},
Funding-Text = {{We thank two anonymous reviewers for comments and suggestions that have
   substantially improved the manuscript. This work was jointly supported
   by the National Basic Research Program of China (2015CB953703,
   2014CB441302), the National Natural Science Foundation of China
   (41505063), and the China Meteorological Welfare Research Fund
   (GYHY201406007).}},
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Number-of-Cited-References = {{58}},
Times-Cited = {{10}},
Usage-Count-Last-180-days = {{7}},
Usage-Count-Since-2013 = {{31}},
Journal-ISO = {{Clim. Dyn.}},
Doc-Delivery-Number = {{GJ6VH}},
Unique-ID = {{ISI:000435522000003}},
DA = {{2020-08-06}},
}

@article{ ISI:000435522000027,
Author = {Huang, Yanyan and Wang, Bin and Li, Xiaofan and Wang, Huijun},
Title = {{Changes in the influence of the western Pacific subtropical high on
   Asian summer monsoon rainfall in the late 1990s}},
Journal = {{CLIMATE DYNAMICS}},
Year = {{2018}},
Volume = {{51}},
Number = {{1-2}},
Pages = {{443-455}},
Month = {{JUL}},
Abstract = {{The Year-to-year variability of the western Pacific subtropical high
   (WPSH) is primarily controlled by atmosphere-ocean interaction (AOI)
   between the WPSH and the Indo-Pacific warm pool dipole SST anomalies
   (AOI mode) and the anomalous SST forcing from the equatorial central
   Pacific (the CP forcing mode). In this study, we show that the impacts
   of the WPSH variability on Asian summer monsoon rainfall have changed
   after the late 1990s. Before the late 1990s (the PRE epoch), the WPSH
   primarily affects East Asian summer monsoon (EASM) and had little
   influence on Indian summer monsoon (ISM), whereas after the late 1990s
   (the POST epoch), the WPSH has strengthened its linkage to the ISM while
   weakened its relationship with the EASM. This epochal change is
   associated with a change in the leading circulation mode in the Asia-WP
   region. During the PRE (POST) epoch the WPSH variation is mainly
   controlled by the AOI (CP forcing) that mainly affects EASM (ISM). The
   epochal change of the leading mode may be attributed to the change of
   the ENSO properties in late 1990s: the CP types of El Nino become a
   leading ENSO mode in the POST epoch. This work provides a new
   perspective for understanding decadal changes of the ENSO-monsoon
   relationship through subtropical dynamics.}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Huang, YY (Corresponding Author), Nanjing Univ Informat Sci \& Technol, Collaborat Innovat Ctr Forecast \& Evaluat Meteoro, Joint Int Res Lab Climate \& Environm Change, Key Lab Meteorol Disaster,Minist Educ, Nanjing 210044, Jiangsu, Peoples R China.
   Huang, Yanyan; Wang, Huijun, Nanjing Univ Informat Sci \& Technol, Collaborat Innovat Ctr Forecast \& Evaluat Meteoro, Joint Int Res Lab Climate \& Environm Change, Key Lab Meteorol Disaster,Minist Educ, Nanjing 210044, Jiangsu, Peoples R China.
   Wang, Bin, Univ Hawaii, Sch Ocean \& Earth Sci \& Technol, Dept Atmospher Sci, Honolulu, HI 96822 USA.
   Wang, Bin, Univ Hawaii, Sch Ocean \& Earth Sci \& Technol, Int Pacific Res Ctr, Honolulu, HI 96822 USA.
   Wang, Bin, Nanjing Univ Informat Sci \& Technol, Earth Syst Modeling Ctr, Nanjing 210044, Jiangsu, Peoples R China.
   Li, Xiaofan, Zhejiang Univ, Sch Earth Sci, Hangzhou 310027, Zhejiang, Peoples R China.
   Wang, Huijun, Chinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing 100029, Peoples R China.}},
DOI = {{10.1007/s00382-017-3933-1}},
ISSN = {{0930-7575}},
EISSN = {{1432-0894}},
Keywords-Plus = {{NORTH PACIFIC; EL-NINO; EAST-ASIA; ATMOSPHERIC CIRCULATION; INTERANNUAL
   VARIABILITY; MERIDIONAL TELECONNECTION; VERTICAL SHEAR; LATE 1970S;
   PRECIPITATION; IMPACTS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{huangyy@nuist.edu.cn}},
ResearcherID-Numbers = {{Li, Xiaofan/G-2094-2014}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}41505055, 41475039, 41420104002, 41371209];
   NOAA/DYNAMO {[}NA13OAR4310167]; Global Research Laboratory (GRL) Program
   from the National Research Foundation of Korea {[}2011-0021927]; Nanjing
   University of Information Science AND Technology Talent Start Foundation
   {[}2016r029]}},
Funding-Text = {{This work was supported by National Natural Science Foundation of China
   (Grant Nos. 41505055, 41475039, 41420104002 and 41371209), the
   NOAA/DYNAMO\# NA13OAR4310167, the Global Research Laboratory (GRL)
   Program from the National Research Foundation of Korea (Grant Nos.
   2011-0021927) and Nanjing University of Information Science AND
   Technology Talent Start Foundation (2016r029). This is the SEOST
   publication XXXX, and ESMC publication 189. We are grateful to Yali Zhu
   and Jiehua Ma, and Zhiqing Xu for the helpful advice.}},
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Number-of-Cited-References = {{56}},
Times-Cited = {{10}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{17}},
Journal-ISO = {{Clim. Dyn.}},
Doc-Delivery-Number = {{GJ6VH}},
Unique-ID = {{ISI:000435522000027}},
OA = {{Other Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000441239300006,
Author = {Mi, Zhifu and Zheng, Jiali and Meng, Jing and Shan, Yuli and Zheng,
   Heran and Ou, Jiamin and Guan, Dabo and Wei, Yi-Ming},
Title = {{China's Energy Consumption in the New Normal}},
Journal = {{EARTHS FUTURE}},
Year = {{2018}},
Volume = {{6}},
Number = {{7}},
Pages = {{1007-1016}},
Month = {{JUL}},
Abstract = {{Energy consumption is one of main reasons for global warming and highly
   correlated with economic development. As the largest energy consumer
   worldwide, China has entered a new economic development modelthe new
   normal. This study aims to explore the pattern shift in China's energy
   consumption growth in this new development phase. We use structural
   decomposition analysis and environmentally extended input-output
   analysis to decompose China's energy consumption changes during
   2005-2012 into five factors: population, efficiency, production
   structure, consumption patterns, and consumption volume. During the
   period of the global financial crisis, the energy consumption generated
   by China's exports dropped, while the energy consumption generated by
   capital formation grew rapidly. Over three quarters of China's energy
   consumption growth was caused by capital formation during 2007-2010.
   This growth is mainly because of China's economic stimulus measures in
   response to the global recession, with a focus on infrastructure
   construction. In the new normal, the strongest factors offsetting
   China's energy consumption have been shifting from efficiency gains to
   structural changes. Efficiency gains were the strongest factor
   offsetting China's energy consumption in traditional development model
   and offset 42\% of energy consumption between 2005 and 2010 by keeping
   other driving forces constant. Since 2010, however, their effects
   offsetting energy have become weak. The production structure and
   consumption patterns both drove China's energy consumption growth in the
   traditional development model and drove energy consumption growth by
   31\% and 12\% between 2005 and 2010, respectively. Since 2010, however,
   both factors have started to offset China's energy consumption.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Meng, J (Corresponding Author), Univ Cambridge, Dept Polit \& Int Studies, Cambridge, England.
   Meng, J (Corresponding Author), Univ Cambridge, Dept Land Econ, Cambridge Ctr Environm Energy \& Nat Resource Gove, Cambridge, England.
   Shan, YL; Guan, DB (Corresponding Author), Univ East Anglia, Sch Int Dev, Water Secur Res Ctr, Norwich, Norfolk, England.
   Mi, Zhifu, UCL, Bartlett Sch Construct \& Project Management, London, England.
   Zheng, Jiali, Chinese Acad Sci, Acad Math \& Syst Sci, Beijing, Peoples R China.
   Zheng, Jiali, Univ Chinese Acad Sci, Sch Econ \& Management, Beijing, Peoples R China.
   Meng, Jing, Univ Cambridge, Dept Polit \& Int Studies, Cambridge, England.
   Meng, Jing, Univ Cambridge, Dept Land Econ, Cambridge Ctr Environm Energy \& Nat Resource Gove, Cambridge, England.
   Shan, Yuli; Zheng, Heran; Ou, Jiamin; Guan, Dabo, Univ East Anglia, Sch Int Dev, Water Secur Res Ctr, Norwich, Norfolk, England.
   Wei, Yi-Ming, Beijing Inst Technol, Ctr Energy \& Environm Policy Res, Beijing, Peoples R China.
   Wei, Yi-Ming, Beijing Inst Technol, Sch Management \& Econ, Beijing, Peoples R China.}},
DOI = {{10.1029/2018EF000840}},
ISSN = {{2328-4277}},
Keywords = {{energy consumption; China; input-output analysis; SDA; new normal}},
Keywords-Plus = {{STRUCTURAL DECOMPOSITION ANALYSIS; GROWING CO2 EMISSIONS;
   INPUT-OUTPUT-ANALYSIS; CARBON EMISSIONS; IMPACTS; GAS}},
Research-Areas = {{Environmental Sciences \& Ecology; Geology; Meteorology \& Atmospheric
   Sciences}},
Web-of-Science-Categories  = {{Environmental Sciences; Geosciences, Multidisciplinary; Meteorology \&
   Atmospheric Sciences}},
Author-Email = {{jm2218@cam.ac.uk
   y.shan@uea.ac.uk
   dabo.guan@uea.ac.uk}},
ResearcherID-Numbers = {{Mi, Zhifu/P-1027-2019
   Guan, Dabo/Y-2406-2019
   Zheng, Jiali/T-1132-2019
   Meng, Jing/J-9740-2013
   Shan, Yuli/N-7747-2015}},
ORCID-Numbers = {{Mi, Zhifu/0000-0001-8106-0694
   Guan, Dabo/0000-0003-3773-3403
   Zheng, Jiali/0000-0002-7424-2462
   Meng, Jing/0000-0001-8708-0485
   Shan, Yuli/0000-0002-5215-8657}},
Funding-Acknowledgement = {{National Key R\&D Program of China {[}2016YFA0602604, 2016YFA0602603];
   Natural Science Foundation of ChinaNational Natural Science Foundation
   of China {[}41629501, 71761137001]; UK Economic and Social Research
   CouncilEconomic \& Social Research Council (ESRC) {[}ES/L016028/1];
   Natural Environment Research CouncilNERC Natural Environment Research
   Council {[}NE/N00714X/1]}},
Funding-Text = {{This study was supported by the National Key R\&D Program of China
   (2016YFA0602604 and 2016YFA0602603), the Natural Science Foundation of
   China (41629501 and 71761137001), the UK Economic and Social Research
   Council (ES/L016028/1), and the Natural Environment Research Council
   (NE/N00714X/1). The data of Chinese energy can be downloaded from China
   Emission Accounts and Datasets (http://www.ceads.net/) and Shan et al.
   (2018).}},
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Number-of-Cited-References = {{59}},
Times-Cited = {{30}},
Usage-Count-Last-180-days = {{7}},
Usage-Count-Since-2013 = {{39}},
Journal-ISO = {{Earth Future}},
Doc-Delivery-Number = {{GP9LU}},
Unique-ID = {{ISI:000441239300006}},
OA = {{DOAJ Gold, Green Accepted, Green Published}},
DA = {{2020-08-06}},
}

@article{ ISI:000435050000029,
Author = {Yang, Yi},
Title = {{Improving estimates of subnational commodity flows in LCA for policy
   support: A US case study}},
Journal = {{ENERGY POLICY}},
Year = {{2018}},
Volume = {{118}},
Pages = {{312-316}},
Month = {{JUL}},
Abstract = {{Life cycle assessment models incorporating interregional commodity flows
   at subnational levels can be used to estimate regional implications of
   environmental and energy policies, and to evaluate corporate's regional
   supply chain sustainability impacts. Here, I study the importance of
   subnational commodity flows in life cycle inventory results of US
   products. Two models are used for analysis, an aggregate input-output
   model covering all productive sectors and a detailed process model
   focusing on corn. On average, similar to 50\% of agricultural, mining,
   and manufacturing goods traveled across state boundaries (10-50\% for
   corn specifically). Neglecting the inter-state commodity flows can lead
   to large errors in state-level life cycle inventory results (up to
   200-400\%). It can also affect national average inventory results:
   depending on where corn is sourced from, an average unit of corn used as
   feed and feedstock in the US could have substantially different amounts
   of embodied water. Results further suggest that the more spatially
   variable of an environmental stressor, water use the more important it
   is to account for commodity flows. A better understanding of
   interregional commodity flows at subnational levels improves the
   predictive capability of life cycle models for better policy support.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Yang, Y (Corresponding Author), Univ Minnesota, Dept Ecol Evolut \& Behav, St Paul, MN 55108 USA.
   Yang, Yi, Univ Minnesota, Dept Ecol Evolut \& Behav, St Paul, MN 55108 USA.}},
DOI = {{10.1016/j.enpol.2018.03.024}},
ISSN = {{0301-4215}},
EISSN = {{1873-6777}},
Keywords = {{Interregional commodity flows; Supply-chain management; Life cycle
   assessment}},
Keywords-Plus = {{LIFE-CYCLE ASSESSMENT; FRESH-WATER ECOTOXICITY; INPUT-OUTPUT-ANALYSIS;
   UNITED-STATES; CORN-ETHANOL; REGIONAL-ANALYSIS; SPATIAL SCALE; SUPPLY
   CHAINS; CO2 EMISSIONS; IMPACTS}},
Research-Areas = {{Business \& Economics; Energy \& Fuels; Environmental Sciences \&
   Ecology}},
Web-of-Science-Categories  = {{Economics; Energy \& Fuels; Environmental Sciences; Environmental
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Author-Email = {{yang1385@umn.edu}},
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Number-of-Cited-References = {{50}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{11}},
Journal-ISO = {{Energy Policy}},
Doc-Delivery-Number = {{GJ1TF}},
Unique-ID = {{ISI:000435050000029}},
DA = {{2020-08-06}},
}

@article{ ISI:000437395400084,
Author = {Zhang, Yue-Jun and Zhang, Kai-Bin},
Title = {{The linkage of CO2 emissions for China, EU, and USA: evidence from the
   regional and sectoral analyses}},
Journal = {{ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH}},
Year = {{2018}},
Volume = {{25}},
Number = {{20}},
Pages = {{20179-20192}},
Month = {{JUL}},
Abstract = {{As economic integration in the world continues to advance, energy
   consumption and carbon emissions in various regions have also become
   increasingly interdependent. In order to better understand the regional
   interaction of carbon emissions, this paper employs a three-region
   input-output approach to explore the linkage of CO2 emissions among
   China, EU, and USA. Based on the world input-output table and
   environment account of World Input-Output Database (WIOD) in 2009, we
   calculate the carbon emission multiplier effect, spillover effect, and
   feedback effect and carry out the analysis from the regional and
   sectoral levels. The results show that, first of all, the carbon
   emission multiplier effect of each region is larger than the spillover
   and feedback effects. Second, EU and USA have higher carbon emission
   spillover effect on China than China's carbon emission spillover effect
   on them. Finally, the carbon multiplier effects in different sectors
   have different characteristics.}},
Publisher = {{SPRINGER HEIDELBERG}},
Address = {{TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Zhang, YJ (Corresponding Author), Hunan Univ, Business Sch, Changsha 410082, Hunan, Peoples R China.
   Zhang, YJ (Corresponding Author), Hunan Univ, Ctr Resource \& Environm Management, Changsha 410082, Hunan, Peoples R China.
   Zhang, Yue-Jun; Zhang, Kai-Bin, Hunan Univ, Business Sch, Changsha 410082, Hunan, Peoples R China.
   Zhang, Yue-Jun; Zhang, Kai-Bin, Hunan Univ, Ctr Resource \& Environm Management, Changsha 410082, Hunan, Peoples R China.}},
DOI = {{10.1007/s11356-018-1965-7}},
ISSN = {{0944-1344}},
EISSN = {{1614-7499}},
Keywords = {{CO2 emissions; Multi-regional input-output; Multiplier effect; Spillover
   effects; Feedback effect}},
Keywords-Plus = {{POLLUTION HAVEN HYPOTHESIS; INPUT-OUTPUT-ANALYSIS; SPATIAL SPILLOVER;
   CARBON; ENERGY; REDUCTION; INDUSTRY; TRADE; CONSUMPTION; EFFICIENCY}},
Research-Areas = {{Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Environmental Sciences}},
Author-Email = {{zyjmis@126.com}},
ResearcherID-Numbers = {{Zhang, Yue-Jun/A-8850-2012}},
ORCID-Numbers = {{Zhang, Yue-Jun/0000-0001-7687-9267}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}71273028, 71322103, 71774051]; National Program
   for Support of Top-notch Young Professionals {[}W02070325]; Changjiang
   Scholars Program of the Ministry of Education of China {[}Q2016154];
   Hunan Youth Talent Program; China Scholarship CouncilChina Scholarship
   Council {[}201606135020]}},
Funding-Text = {{This study received financial support from the National Natural Science
   Foundation of China (nos. 71273028, 71322103, 71774051), National
   Program for Support of Top-notch Young Professionals (no. W02070325),
   Changjiang Scholars Program of the Ministry of Education of China (no.
   Q2016154), Hunan Youth Talent Program and China Scholarship Council
   (nos. 201606135020).}},
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Number-of-Cited-References = {{36}},
Times-Cited = {{17}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{30}},
Journal-ISO = {{Environ. Sci. Pollut. Res.}},
Doc-Delivery-Number = {{GL7PY}},
Unique-ID = {{ISI:000437395400084}},
DA = {{2020-08-06}},
}

@article{ ISI:000450691300003,
Author = {Zhang, Zhiqi and Sun, Xuguang and Yang, Xiu-Qun},
Title = {{Understanding the Interdecadal Variability of East Asian Summer Monsoon
   Precipitation: Joint Influence of Three Oceanic Signals}},
Journal = {{JOURNAL OF CLIMATE}},
Year = {{2018}},
Volume = {{31}},
Number = {{14}},
Pages = {{5485-5506}},
Month = {{JUL}},
Abstract = {{East Asian summer monsoon precipitation (EASMP) features complicated
   interdecadal variability with multiple time periods and spatial
   patterns. Using century-long datasets of HadISST, CRU precipitation, and
   the ECMWF twentieth-century reanalysis (ERA-20C), this study examines
   the joint influence of three oceanic interdecadal signals {[}i.e.,
   Pacific decadal oscillation (PDO), Atlantic multidecadal oscillation
   (AMO), and Indian Ocean Basin mode (IOBM)] on the EASMP, which, however,
   is found not to be simply a linear combination of their individual
   effects. When PDO and AMO are out of phase, the same-sign SST anomalies
   occur in the North Pacific and North Atlantic, and a zonally orientated
   teleconnection wave train appears across the Eurasian mid-to-high
   latitudes, propagating from the North Atlantic to northern East Asia
   along the Asian westerly jet waveguide. Correspondingly, the
   interdecadal precipitation anomalies are characterized by a meridional
   tripole mode over eastern China. When PDO andAMOare in phase, with
   opposite sign SST anomalies in the North Pacific and North Atlantic, the
   sandwich pattern of anomalous stationary Rossby wavenumber tends to
   reduce the effect of the waveguide in the eastern Mediterranean region,
   and the teleconnection wave train from the North Atlantic travels only
   to western central Asia along a great circle route, causing Indian
   summer monsoon precipitation (ISMP) anomalies. The ISMP anomalies, in
   turn, interact with the teleconnection wave train induced by the PDO and
   AMO, leading to a meridional dipole mode of interdecadal precipitation
   anomalies over eastern China. Through the impact on the ISMP, the IOBM
   exerts significantly linear modulation on the combined impacts of PDO
   and AMO, especially over northern East Asia.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Sun, XG; Yang, XQ (Corresponding Author), Nanjing Univ, Sch Atmospher Sci, CMA NJU Joint Lab Climate Predict Studies, Nanjing, Jiangsu, Peoples R China.
   Sun, Xuguang; Yang, Xiu-Qun, Nanjing Univ, Sch Atmospher Sci, CMA NJU Joint Lab Climate Predict Studies, Nanjing, Jiangsu, Peoples R China.
   Nanjing Univ, Sch Atmospher Sci, Jiangsu Collaborat Innovat Ctr Climate Change, Nanjing, Jiangsu, Peoples R China.}},
DOI = {{10.1175/JCLI-D-17-0657.1}},
ISSN = {{0894-8755}},
EISSN = {{1520-0442}},
Keywords-Plus = {{ATLANTIC MULTIDECADAL OSCILLATION; ROSSBY-WAVE PROPAGATION; INDO-WESTERN
   PACIFIC; NORTH PACIFIC; INDIAN MONSOON; CIRCUMGLOBAL TELECONNECTION;
   DECADAL VARIABILITY; TROPICAL ATLANTIC; ENSO RELATIONSHIP; CLIMATE}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{xgsun@nju.edu.cn
   xqyang@nju.edu.cn}},
ResearcherID-Numbers = {{SUN, Xuguang/A-7998-2012
   NJU, SAS/F-2585-2015
   Zhang, Zhi-Qi/H-2327-2018}},
ORCID-Numbers = {{SUN, Xuguang/0000-0002-7960-0425
   Zhang, Zhi-Qi/0000-0001-9388-2345}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}41621005, 41775074, 41275069, 41330420];
   Fundamental Research Funds for the Central UniversitiesFundamental
   Research Funds for the Central Universities {[}020714380035]}},
Funding-Text = {{This work was jointly funded by the National Natural Science Foundation
   of China (Grants 41621005, 41775074, 41275069, and 41330420) and the
   Fundamental Research Funds for the Central Universities (020714380035).}},
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Number-of-Cited-References = {{91}},
Times-Cited = {{9}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{21}},
Journal-ISO = {{J. Clim.}},
Doc-Delivery-Number = {{HB0GO}},
Unique-ID = {{ISI:000450691300003}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000435619900021,
Author = {Wu, X. D. and Guo, J. L. and Han, M. Y. and Chen, G. Q.},
Title = {{An overview of arable land use for the world economy: From source to
   sink via the global supply chain}},
Journal = {{LAND USE POLICY}},
Year = {{2018}},
Volume = {{76}},
Pages = {{201-214}},
Month = {{JUL}},
Abstract = {{As an extension of a previous work (Chen and Han, 2015a), this study
   explored the arable land use of the world economy from source of
   exploitation to sink of final consumption via the global supply chain,
   by means of embodiment accounting that includes the indirect feedbacks
   associated with both intermediate and primary inputs. In magnitude, the
   global transfer of arable land use is estimated to be around 40\% of the
   total direct exploitation. The connections as well as imbalances of
   major economies in intermediate and final trades of arable land use are
   discussed. Canada, Australia, Argentina, Pakistan and African regions
   turn out to have a massive deficit of arable land use in both
   intermediate and final trades. In contrast, the United States, Japan,
   Mainland China, the United Kingdom, Germany and France obtain a surplus
   of arable land use in both intermediate and final trades by land
   displacement in those net exporters. Indices in terms of arable land use
   self-sufficiency rate by source and that by sink are devised. For India
   as the biggest source region, around 20\% of the arable land resources
   exploited locally are for final consumption abroad. For the United
   States as the largest sink region, around 40\% of its arable land use
   originates from foreign regions led by Canada. For Japan as the biggest
   net importer in both intermediate and final trades, over 90\% of its
   arable land use comes from foreign economies led by African and Asian
   regions. For sustained development, regions are suggested to be more
   adapted to the global supply chain based on their behaviors in both
   intermediate and final trades of arable land use.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Chen, GQ (Corresponding Author), Peking Univ, Coll Engn, Lab Syst Ecol \& Sustainabil Sci, Beijing 100871, Peoples R China.
   Wu, X. D.; Guo, J. L.; Chen, G. Q., Peking Univ, Coll Engn, Lab Syst Ecol \& Sustainabil Sci, Beijing 100871, Peoples R China.
   Han, M. Y., Chinese Acad Sci, Inst Geog Sci \& Nat Resources Res, Beijing 100101, Peoples R China.
   Han, M. Y., Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China.}},
DOI = {{10.1016/j.landusepol.2018.05.005}},
ISSN = {{0264-8377}},
EISSN = {{1873-5754}},
Keywords = {{Arable land use; Embodiment accounting; Primary inputs; Source; Sink;
   Trade imbalance}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; POWER-GENERATION SYSTEM; ENERGY-COST; ECOLOGICAL
   FOOTPRINT; WATER-USE; AGRICULTURAL TRADE; CARBON EMISSIONS; CHINESE
   ECONOMY; CONSUMPTION; DISPLACEMENT}},
Research-Areas = {{Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Environmental Studies}},
Author-Email = {{gqchen@pku.edu.cn}},
ResearcherID-Numbers = {{（陈国谦）, Guoqian Chen/B-5407-2012}},
ORCID-Numbers = {{（陈国谦）, Guoqian Chen/0000-0003-1173-6796}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}51579004]}},
Funding-Text = {{This research is supported by the National Natural Science Foundation of
   China (Grant No. 51579004).}},
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