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Times-Cited = {{19}},
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Journal-ISO = {{J. Clean Prod.}},
Doc-Delivery-Number = {{FT2UQ}},
Unique-ID = {{ISI:000423001900027}},
DA = {{2020-08-06}},
}

@article{ ISI:000423002200004,
Author = {Li, Yilin and Han, Mengyao},
Title = {{Embodied water demands, transfers and imbalance of China's mega-cities}},
Journal = {{JOURNAL OF CLEANER PRODUCTION}},
Year = {{2018}},
Volume = {{172}},
Pages = {{1336-1345}},
Month = {{JAN 20}},
Abstract = {{Water resources are of fundamental significance as the basis of human
   life, economy, and society. Especially as the essential socioeconomic
   factors, water resources transferred through merchandise trade of
   China's mega-cities (Beijing, Tianjin, Shanghai and Chongqing) play an
   increasingly crucial role in China's regional water use allocation. On
   the whole, the four municipalities in China are all embodied water
   recipients along supply chains. However, it is found that embodied water
   transfers (including direct and indirect water) related to these
   mega-cities have exacerbated the regional water use imbalance and
   affected the water use efficiency of China as a whole to some extent. In
   consideration of the increasing trading exchanges among cities and
   regions, ignoring water transfers embodied in trades will lead to
   failure in depicting actual water demands. In such a context, the
   embodied water demands and transfers of China's municipalities are
   analyzed systematically, and the water use efficiencies and allocation
   imbalance are assessed for the first time. Outcomes of this study
   through systems accounting of water use profiles of China's mega-cities
   can be strong supports for reasonable allocation and utilization of
   China's water resources, showing important implications for water
   pressure mitigation. (C) 2017 Elsevier Ltd. All rights reserved.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Han, MY (Corresponding Author), Chinese Acad Sci, Inst Geog Sci \& Nat Resources Res, Beijing 100101, Peoples R China.
   Li, Yilin; Han, Mengyao, Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China.
   Han, Mengyao, Chinese Acad Sci, Inst Geog Sci \& Nat Resources Res, Beijing 100101, Peoples R China.
   Li, Yilin; Han, Mengyao, Peking Univ, Coll Engn, Lab Syst Ecol \& Sustainabil Sci, Beijing 100871, Peoples R China.
   Li, Yilin, North China Elect Power Univ, Dept Power Engn, Beijing 071003, Hebei, Peoples R China.}},
DOI = {{10.1016/j.jclepro.2017.10.191}},
ISSN = {{0959-6526}},
EISSN = {{1879-1786}},
Keywords = {{Water resources; Mega-cities; Water transfers; Input-output method;
   Trade imbalance}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; VIRTUAL WATER; INTERNATIONAL-TRADE; FOOTPRINT
   FAMILY; URBAN-ECONOMY; CONSUMPTION; RESOURCES; EMISSIONS; SHANGHAI;
   TIANJIN}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{hanmy@igsnrr.ac.cn}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}41701135]; National Key Research and Development
   Program of China {[}2016YFA0602804]; State Key Program for Basic
   ResearchState Key Development Program for Basic Research of China
   {[}2013CB430402]; Initiative Research Program {[}Y6V60213YZ]}},
Funding-Text = {{This work is supported by the National Natural Science Foundation of
   China (grant no. 41701135), the National Key Research and Development
   Program of China (grant no. 2016YFA0602804), the State Key Program for
   Basic Research (grant no. 2013CB430402), and the Initiative Research
   Program (grand no. Y6V60213YZ).}},
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Number-of-Cited-References = {{57}},
Times-Cited = {{16}},
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Usage-Count-Since-2013 = {{35}},
Journal-ISO = {{J. Clean Prod.}},
Doc-Delivery-Number = {{FT2UT}},
Unique-ID = {{ISI:000423002200004}},
DA = {{2020-08-06}},
}

@article{ ISI:000423002500125,
Author = {Robinson, Oliver J. and Tewkesbury, Adam and Kemp, Simon and Williams,
   Ian D.},
Title = {{Towards a universal carbon footprint standard: A case study of carbon
   management at universities}},
Journal = {{JOURNAL OF CLEANER PRODUCTION}},
Year = {{2018}},
Volume = {{172}},
Pages = {{4435-4455}},
Month = {{JAN 20}},
Abstract = {{Organisations of all types are significant contributors to international
   greenhouse gas emissions. The business case for supporting low-carbon
   practices is gathering pace, alongside the regulatory demands imposed
   through carbon emission compliance reporting. Despite this, guidance for
   generating carbon footprints through hybrid environmentally extended
   input-output analysis is under-developed and under-researched. Higher
   Education Institutions are key components of education systems across
   the globe, transcending international borders, socio-political regimes
   and economic systems. As an internationally significant sector beginning
   to address climate issues through carbon reduction policies on and off
   the estate, very few research articles have been published that document
   emissions arising from all directly and indirectly attributable
   activities. This study outlines a number of key elements to standardise
   the organisational carbon footprinting process by reconciling and
   evaluating the methodological steps in six selected internationally
   reputable guidelines (published by the Global Reporting Initiative, the
   Carbon Disclosure Project, the United Kingdom's Government Department
   for Environment, Food and Rural Affairs, the Greenhouse Gas Protocol,
   the International Standardisation Organisation and the Higher Education
   Funding Council for England). A systematic review is undertaken which
   relates the four principles of carbon footprinting (boundary-setting,
   identification of activities, collecting of data and
   reporting/verification) to the academic literature. Then, via
   consultation with university environment managers, a number of
   recommendations are made to address and improve i) the potential to
   avoid double-counting, ii) the financial and resource cost of carbon
   footprinting and iii) the reliability and comparability of data compiled
   by institutions. We introduce a methodology for a universal,
   standardised footprinting standard for higher education (that could also
   apply to all organisations regardless of sector or region) with cut-off
   criteria that excludes paid-for products and services typically included
   in the `Scope 3' proportion of the footprint. In proposing this
   methodology, carbon footprinting is made more applicable to higher
   education institutions (since existing standards are designed for
   generality and for profit-driven organisations) and the practical
   issues, associated with externally owned data and non expert staff, are
   broadly overcome. (C) 2017 The Authors. Published by Elsevier Ltd.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Williams, ID (Corresponding Author), Univ Southampton, Fac Engn \& Environm, Ctr Environm Sci, Lanchester Bldg,Univ Rd, Southampton SO17 1BJ, Hants, England.
   Robinson, Oliver J.; Kemp, Simon; Williams, Ian D., Univ Southampton, Fac Engn \& Environm, Ctr Environm Sci, Lanchester Bldg,Univ Rd, Southampton SO17 1BJ, Hants, England.
   Tewkesbury, Adam, Univ Southampton, Estates \& Facil Dept, Bldg 35,Univ Rd, Southampton SO17 1BJ, Hants, England.}},
DOI = {{10.1016/j.jclepro.2017.02.147}},
ISSN = {{0959-6526}},
EISSN = {{1879-1786}},
Keywords = {{Comparative analysis; Systematic review; Carbon management standard;
   Organisation; Higher education; Framework}},
Keywords-Plus = {{GREENHOUSE-GAS EMISSIONS; INPUT-OUTPUT-ANALYSIS; CLIMATE-CHANGE;
   SUSTAINABILITY; PERFORMANCE; BUSINESS; RESPONSIBILITY; INNOVATION;
   COMPANIES; INDUSTRY}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{idw@soton.ac.uk}},
Funding-Acknowledgement = {{EPSRC, the Industry Doctoral Training Centre in Transport and the
   Environment {[}EP/G036896/1]; Estates and Facilities Department at the
   University of Southampton}},
Funding-Text = {{The provision of funding from EPSRC grant EP/G036896/1, the Industry
   Doctoral Training Centre in Transport and the Environment is gratefully
   acknowledged. The authors are also grateful to the Estates and
   Facilities Department at the University of Southampton for their
   financial contribution to this research. A version of the supporting
   data set used in this study is openly available from the University of
   Southampton data repository service at: doi:10.5258/SOTON/403491.}},
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Number-of-Cited-References = {{100}},
Times-Cited = {{11}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{31}},
Journal-ISO = {{J. Clean Prod.}},
Doc-Delivery-Number = {{FT2UW}},
Unique-ID = {{ISI:000423002500125}},
OA = {{Other Gold, Green Accepted}},
DA = {{2020-08-06}},
}

@article{ ISI:000423431800037,
Author = {Geng, Xin and Zhang, Wenjun and Jin, Fei-Fei and Stuecker, Malte F.},
Title = {{A New Method for Interpreting Nonstationary Running Correlations and Its
   Application to the ENSO-EAWM Relationship}},
Journal = {{GEOPHYSICAL RESEARCH LETTERS}},
Year = {{2018}},
Volume = {{45}},
Number = {{1}},
Pages = {{327-334}},
Month = {{JAN 16}},
Abstract = {{We here propose a new statistical method to interpret nonstationary
   running correlations by decomposing them into a stationary part and a
   first-order Taylor expansion approximation for the nonstationary part.
   Then, this method is applied to investigate the nonstationary behavior
   of the El Nino-Southern Oscillation (ENSO)-East Asian winter monsoon
   (EAWM) relationship, which exhibits prominent multidecadal variations.
   It is demonstrated that the first-order approximation of the
   nonstationary part can be expressed to a large extent by the impact of
   the nonlinear interaction between the Atlantic Multidecadal Oscillation
   (AMO) and ENSO (AMO{*}Nino3.4) on the EAWM. Therefore, the
   nonstationarity in the ENSO-EAWM relationship comes predominantly from
   the impact of an AMO modulation on the ENSO-EAWM teleconnection via this
   key nonlinear interaction. This general method can be applied to
   investigate nonstationary relationships that are often observed between
   various different climate phenomena.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Zhang, WJ (Corresponding Author), Nanjing Univ Informat Sci \& Technol, Key Lab Meteorol Disaster, CIC FEMD ILCEC, Minist Educ, Nanjing, Jiangsu, Peoples R China.
   Geng, Xin; Zhang, Wenjun, Nanjing Univ Informat Sci \& Technol, Key Lab Meteorol Disaster, CIC FEMD ILCEC, Minist Educ, Nanjing, Jiangsu, Peoples R China.
   Jin, Fei-Fei, Univ Hawaii Manoa, SOEST, Dept Atmospher Sci, Honolulu, HI 96822 USA.
   Stuecker, Malte F., Univ Washington, Dept Atmospher Sci, Seattle, WA 98195 USA.
   Stuecker, Malte F., Univ Corp Atmospher Res, Cooperat Programs Adv Earth Syst Sci, Boulder, CO USA.}},
DOI = {{10.1002/2017GL076564}},
ISSN = {{0094-8276}},
EISSN = {{1944-8007}},
Keywords-Plus = {{ASIAN WINTER MONSOON; EL-NINO; CLIMATE; OSCILLATION; TEMPERATURE;
   MODULATION; IMPACT}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary}},
Author-Email = {{zhangwj@nuist.edu.cn}},
ResearcherID-Numbers = {{Stuecker, Malte/H-6304-2011}},
ORCID-Numbers = {{Stuecker, Malte/0000-0001-8355-0662}},
Funding-Acknowledgement = {{National Nature Science Foundation of ChinaNational Natural Science
   Foundation of China {[}41675073]; SOA Program on Global Change and
   Air-Sea Interactions {[}GASI-IPOVAI-03]; Jiangsu Provincial 333
   High-level Talent Cultivation Project; Jiangsu Provincial six talent
   peaks projects; Postgraduate Research and Practice Innovation Program of
   Jiangsu Province {[}KYCX17\_0870]; U.S. National Science
   FoundationNational Science Foundation (NSF) {[}AGS-1406601]; U.S.
   Department of EnergyUnited States Department of Energy (DOE)
   {[}DE-SC000511]; NOAA Climate and Global Change Postdoctoral Fellowship
   Program}},
Funding-Text = {{The data used to reproduce the results of this paper are located at
   https://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v3.html and
   https://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html.
   The authors would like to thank two anonymous reviewers for their
   helpful suggestions and declare that there is no conflict of interests
   regarding the publication of this paper. This work is supported by the
   National Nature Science Foundation of China (41675073), SOA Program on
   Global Change and Air-Sea Interactions (GASI-IPOVAI-03), and Jiangsu
   Provincial 333 High-level Talent Cultivation Project and six talent
   peaks projects. X. Geng was supported by the Postgraduate Research and
   Practice Innovation Program of Jiangsu Province (KYCX17\_0870). F. -F.
   Jin was supported by the U.S. National Science Foundation grant
   AGS-1406601 and the U.S. Department of Energy grant DE-SC000511. M.F.
   Stuecker was supported by the NOAA Climate and Global Change
   Postdoctoral Fellowship Program, administered by UCAR's Cooperative
   Programs for the Advancement of Earth System Sciences (CPAESS).}},
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Number-of-Cited-References = {{28}},
Times-Cited = {{3}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{17}},
Journal-ISO = {{Geophys. Res. Lett.}},
Doc-Delivery-Number = {{FT8VR}},
Unique-ID = {{ISI:000423431800037}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000423433500006,
Author = {Clem, Kyle R. and Renwick, James A. and McGregor, James},
Title = {{Autumn Cooling of Western East Antarctica Linked to the Tropical Pacific}},
Journal = {{JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES}},
Year = {{2018}},
Volume = {{123}},
Number = {{1}},
Pages = {{89-107}},
Month = {{JAN 16}},
Abstract = {{Over the past 60 years, the climate of East Antarctica cooled while
   portions of West Antarctica were among the most rapidly warming regions
   on the planet. The East Antarctic cooling is attributed to a positive
   trend in the Southern Annular Mode (SAM) and a strengthening of the
   westerlies, while West Antarctic warming is tied to zonally asymmetric
   circulation changes forced by the tropics. This study finds recent
   (post-1979) surface cooling of East Antarctica during austral autumn to
   also be tied to tropical forcing, namely, an increase in La Nina events.
   The recent increase in La Nina conditions forces a Rossby wave into the
   Southern Hemisphere that increases anticyclonic circulation over the
   South Atlantic. The South Atlantic anticyclone is associated with cold
   air advection, weakened northerlies, and increased sea ice
   concentrations across the western East Antarctic coast, which has
   increased the rate of cooling at Novolazarevskaya and Syowa stations
   after 1979. This enhanced cooling over western East Antarctica is tied
   more broadly to a zonally asymmetric temperature trend pattern across
   East Antarctica during autumn that is consistent with a tropically
   forced Rossby wave rather than a SAM pattern; the positive SAM pattern
   is associated with ubiquitous cooling across East Antarctica, which is
   not seen in temperature observations after 1979. We conclude that El
   Nino-Southern Oscillation-related circulation anomalies, particularly
   zonal asymmetries that locally enhance meridional wind, are an important
   component of East Antarctic climate variability during autumn, and
   future changes in tropical Pacific climate will likely have implications
   for East Antarctica.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Clem, KR (Corresponding Author), Rutgers State Univ, Inst Earth Ocean \& Atmospher Sci, New Brunswick, NJ 08901 USA.
   Clem, Kyle R., Rutgers State Univ, Inst Earth Ocean \& Atmospher Sci, New Brunswick, NJ 08901 USA.
   Renwick, James A.; McGregor, James, Victoria Univ Wellington, Sch Geog Environm \& Earth Sci, Wellington, New Zealand.}},
DOI = {{10.1002/2017JD027435}},
ISSN = {{2169-897X}},
EISSN = {{2169-8996}},
Keywords = {{ENSO; SAM; East Antarctica; climate; Rossby waves; teleconnection}},
Keywords-Plus = {{SOUTHERN ANNULAR MODE; ICE SHELVES; EXTRATROPICAL CIRCULATION; AMERICAN
   MODES; CLIMATE-CHANGE; HEMISPHERE; SURFACE; PENINSULA; OSCILLATION;
   VARIABILITY}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{kyle.clem@rutgers.edu}},
ORCID-Numbers = {{McGregor, James/0000-0001-8088-5950
   Clem, Kyle/0000-0002-1419-2758}},
Funding-Acknowledgement = {{Victoria University of Wellington; Institute of Earth, Ocean, and
   Atmospheric Sciences at Rutgers, The State University of New Jersey}},
Funding-Text = {{Three anonymous reviewers are thanked for their helpful comments on the
   manuscript. Thanks to the European Centre for Medium-Range Weather
   Forecasts (ECMWF) for ERA-Interim reanalysis data a ccessed online at
   http://apps.ecmwf.int/datasets/data/interim-full-daily/levtype=sfc/, to
   the UK Met Office Hadley Centre for sea ice data accessed online at
   www.metoffice.gov.uk/hadobs/hadisst/, and to the NOAA/OAR/ESRL PSD,
   Boulder, Colorado, USA for sea surface temperature data accessed online
   at https://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v4.html.
   Antarctic station data were accessed at
   https://legacy.bas.ac.uk/met/READER/. K.R.C acknowledges support from a
   Victoria Doctoral Scholarship from Victoria University of Wellington and
   a Post-Doctoral Associate award from the Institute of Earth, Ocean, and
   Atmospheric Sciences at Rutgers, The State University of New Jersey.}},
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Number-of-Cited-References = {{81}},
Times-Cited = {{7}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{22}},
Journal-ISO = {{J. Geophys. Res.-Atmos.}},
Doc-Delivery-Number = {{FT8WI}},
Unique-ID = {{ISI:000423433500006}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000423433500014,
Author = {Albers, John R. and Perlwitz, Judith and Butler, Amy H. and Birner,
   Thomas and Kiladis, George N. and Lawrence, Zachary D. and Manney,
   Gloria L. and Langford, Andrew O. and Dias, Juliana},
Title = {{Mechanisms Governing Interannual Variability of
   Stratosphere-to-Troposphere Ozone Transport}},
Journal = {{JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES}},
Year = {{2018}},
Volume = {{123}},
Number = {{1}},
Pages = {{234-260}},
Month = {{JAN 16}},
Abstract = {{Factors governing the strength and frequency of stratospheric ozone
   intrusions over the Pacific-North American region are considered for
   their role in modulating tropospheric ozone on interannual timescales.
   The strength of the association between two major modes of climate
   variability-the El Nino-Southern Oscillation (ENSO) and the Northern
   Annular Mode (NAM)-and the amount of ozone contained in stratospheric
   intrusions are tested in the context of two mechanisms that modulate
   stratosphere-to-troposphere transport (STT) of ozone: (StratVarO(3)) the
   winter season buildup of ozone abundances in the lowermost stratosphere
   (LMS) and (JetVar) Pacific jet and wave breaking variability during
   spring. In essence, StratVarO(3) corresponds to variability in the
   amount of ozone per intrusion, while JetVar governs the frequency of
   intrusions. The resulting analysis, based on two different reanalysis
   products, suggests that StratVarO(3) is more important than JetVar for
   driving interannual variations in STT of ozone over the Pacific-North
   American region. In particular, the abundance of ozone in the LMS at the
   end of winter is shown to be a robust indicator of the amount of ozone
   that will be contained in stratospheric intrusions during the ensuing
   spring. Additionally, it is shown that the overall strength of the
   winter season stratospheric NAM is a useful predictor of ozone intrusion
   strength. The results also suggest a nuanced relationship between the
   phase of ENSO and STT of ozone. While ENSO-related jet variability is
   associated with STT variability, it is wave breaking frequency rather
   than typical ENSO teleconnection patterns that is responsible for the
   ENSO-STT relationship.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Albers, JR (Corresponding Author), Univ Colorado Boulder, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA.
   Albers, JR (Corresponding Author), NOAA, Earth Syst Res Lab, Phys Sci Div, Boulder, CO 80305 USA.
   Albers, John R.; Perlwitz, Judith; Butler, Amy H.; Dias, Juliana, Univ Colorado Boulder, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA.
   Albers, John R.; Perlwitz, Judith; Kiladis, George N.; Dias, Juliana, NOAA, Earth Syst Res Lab, Phys Sci Div, Boulder, CO 80305 USA.
   Butler, Amy H.; Langford, Andrew O., NOAA, Earth Syst Res Lab, Chem Sci Div, Boulder, CO USA.
   Birner, Thomas, Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USA.
   Lawrence, Zachary D.; Manney, Gloria L., New Mexico Inst Min \& Technol, Dept Phys, Socorro, NM 87801 USA.
   Manney, Gloria L., NorthWest Res Associates, Socorro, NM USA.}},
DOI = {{10.1002/2017JD026890}},
ISSN = {{2169-897X}},
EISSN = {{2169-8996}},
Keywords-Plus = {{BREWER-DOBSON CIRCULATION; NINO-SOUTHERN-OSCILLATION; MADDEN-JULIAN
   OSCILLATION; ARCTIC OSCILLATION; TROPOPAUSE FOLDS; SCALE DISTURBANCES;
   GLOBAL CLIMATOLOGY; NORTH PACIFIC; EXCHANGE; ENSO}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{john.albers@noaa.gov}},
ResearcherID-Numbers = {{Perlwitz, Judith/B-7201-2008
   Langford, Andrew O/D-2323-2009
   Lawrence, Zachary/X-6766-2019
   Butler, Amy H/K-6190-2012
   Birner, Thomas/A-2108-2008
   }},
ORCID-Numbers = {{Perlwitz, Judith/0000-0003-4061-2442
   Langford, Andrew O/0000-0002-2932-7061
   Butler, Amy H/0000-0002-3632-0925
   Birner, Thomas/0000-0002-2966-3428
   Lawrence, Zachary/0000-0003-0901-3839
   Manney, Gloria/0000-0003-4489-4811
   ALBERS, JOHN/0000-0002-8383-3379}},
Funding-Acknowledgement = {{NSF Atmospheric and Geospace Science Postdoctoral Fellowship;
   NASANational Aeronautics \& Space Administration (NASA) {[}NNX13AM24G]}},
Funding-Text = {{This work was supported by the NSF Atmospheric and Geospace Science
   Postdoctoral Fellowship program (J. R. A.) and NASA grant NNX13AM24G (J.
   R. A. and J. P.). We also thank the NASA GMAO and ECMWF for the
   reanalysis data and the Aura MLS team for MLS data and computing
   support. MERRA-2 data were downloaded from
   https://disc.sci.gsfc.nasa.gov/daac-bin/FTPSubset2.pl, and ERA-Interim
   data were downloaded courtesy of NCAR at
   https://rda.ucar.edu/datasets/ds627.0/.}},
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Number-of-Cited-References = {{104}},
Times-Cited = {{5}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{25}},
Journal-ISO = {{J. Geophys. Res.-Atmos.}},
Doc-Delivery-Number = {{FT8WI}},
Unique-ID = {{ISI:000423433500014}},
DA = {{2020-08-06}},
}

@article{ ISI:000419813100008,
Author = {Chen, B. and Li, J. S. and Wu, X. F. and Han, M. Y. and Zeng, L. and Li,
   Z. and Chen, G. Q.},
Title = {{Global energy flows embodied in international trade: A combination of
   environmentally extended input-output analysis and complex network
   analysis}},
Journal = {{APPLIED ENERGY}},
Year = {{2018}},
Volume = {{210}},
Pages = {{98-107}},
Month = {{JAN 15}},
Abstract = {{Significant energy flows embodied in international trade have evolved
   into a complex interconnected flow network. Therefore, this study
   applies a variety of complex network analysis tools to uncover the
   structure of embodied energy flow network (EEFN) at global, regional and
   national level, based on environmentally extended input output analysis
   (EEIOA). At global level, small-world nature has been found; implying
   the economies are highly connected through embodied energy transfer.
   EEFN is proved to be a heterogeneous network due to the scale-free
   power-law distribution of degree/strength. At regional level, 4
   communities are detected and members in the same regional cooperative
   organizations, such as EU, ASEAN, NAFTA and AU, tend to be classified
   into the same community, indicating that EEFN embodies the
   characteristics of regionalization and multi-polarization. At national
   level, some key economies, such as USA, China and Germany, are always at
   the forefront of network-based centrality measures and EEIOA-based
   accountings. Furthermore, the security of embodied energy supply is
   evaluated for each economy. Consequently, policy implications of the
   results are discussed, which could provide additional insights for
   policy formulation to enhance energy security.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Li, JS; Chen, GQ (Corresponding Author), Huazhong Univ Sci \& Technol, State Key Lab Coal Combust, Wuhan 430074, Hubei, Peoples R China.
   Chen, B.; Li, Z.; Chen, G. Q., Peking Univ, Coll Engn, Lab Syst Ecol \& Sustainabil Sci, Beijing 100871, Peoples R China.
   Li, J. S., Huazhong Univ Sci \& Technol, State Key Lab Coal Combust, Wuhan 430074, Hubei, Peoples R China.
   Li, J. S., Huazhong Univ Sci \& Technol, Sch Energy \& Power Engn, Dept New Energy Sci \& Engn, Wuhan 430074, Hubei, Peoples R China.
   Wu, X. F., Zhongnan Univ Econ \& Law, Econ Sch, Wuhan 430073, Hubei, Peoples R China.
   Han, M. Y., Chinese Acad Sci, Inst Geog Sci \& Nat Resources Res, Beijing 100101, Peoples R China.
   Zeng, L., China Inst Water Resources \& Hydropower Res, State Key Lab Simulat \& Regulat Water Cycle River, Beijing 100038, Peoples R China.}},
DOI = {{10.1016/j.apenergy.2017.10.113}},
ISSN = {{0306-2619}},
EISSN = {{1872-9118}},
Keywords = {{Global energy flows; Complex network; Multi-regional input output
   analysis; International trade; Energy security}},
Keywords-Plus = {{COMMUNITY STRUCTURE; WEIGHTED NETWORKS; SUPPLY CHAIN; ECONOMIC-GROWTH;
   CHINA; EVOLUTION; CONSUMPTION; INDICATORS; CENTRALITY; FOOTPRINT}},
Research-Areas = {{Energy \& Fuels; Engineering}},
Web-of-Science-Categories  = {{Energy \& Fuels; Engineering, Chemical}},
Author-Email = {{lijiashuo@hust.edu.cn
   gqchen@pku.edu.cn}},
ResearcherID-Numbers = {{Li, Jiashuo/K-5809-2013
   Zeng, Li/O-4468-2018
   Wu, Xiaofang/O-7253-2014
   （陈国谦）, Guoqian Chen/B-5407-2012
   Chen, Bin/E-1760-2017}},
ORCID-Numbers = {{Li, Jiashuo/0000-0002-2915-4770
   （陈国谦）, Guoqian Chen/0000-0003-1173-6796
   Chen, Bin/0000-0001-8326-4551}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}71704060, 51579004, 51409272]; Fundamental
   Research Funds for the Central Universities, HUSTFundamental Research
   Funds for the Central Universities {[}2016YXMS043, 2016YXZD007]}},
Funding-Text = {{The research is supported by the National Natural Science Foundation of
   China (Grant No. 71704060), National Natural Science Foundation of China
   (Grant No. 51579004), National Natural Science Foundation of China
   (Grant No. 51409272), Fundamental Research Funds for the Central
   Universities, HUST (No.2016YXMS043 and No. 2016YXZD007).}},
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Number-of-Cited-References = {{80}},
Times-Cited = {{85}},
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Journal-ISO = {{Appl. Energy}},
Doc-Delivery-Number = {{FS5DF}},
Unique-ID = {{ISI:000419813100008}},
ESI-Highly-Cited-Paper = {{Y}},
ESI-Hot-Paper = {{N}},
DA = {{2020-08-06}},
}

@article{ ISI:000419813100043,
Author = {White, David J. and Hubacek, Klaus and Feng, Kuishuang and Sun, Laixiang
   and Meng, Bo},
Title = {{The Water-Energy-Food Nexus in East Asia: A tele-connected value chain
   analysis using inter-regional input-output analysis}},
Journal = {{APPLIED ENERGY}},
Year = {{2018}},
Volume = {{210}},
Pages = {{550-567}},
Month = {{JAN 15}},
Abstract = {{Population and economic growth pose unique challenges in securing
   sufficient water, energy, and food to meet demand at the sub-national
   (regional), national, and supra-national level. An increasing share of
   this demand is met through trade and imports. The unprecedented rapid
   growth, extent, and complexity of global value chains (GVCs) since the
   1980s have reshaped global trade. The GVCs - and new economic patterns
   of regionalization - affect the demands on water, energy, and food
   within countries and across global supply chains. East Asia is of
   particular interest due to the region's rapid economic growth,
   substantial population size, high interdependence of the region's
   economies, and varying degree of resource availability. While greater
   interdependence across the region has increased the efficiency of
   production and trade, these activities require the input of
   water-energy-food and generate disturbances in the environment. The
   transnational inter-regional input-output approach is utilized in a
   tele-connected Water Energy-Food Nexus (WEFN) analysis of the East Asia
   GVC to assess competing demands for these resources and environmental
   outcomes.
   This analysis demonstrates the hidden virtual flows of water, energy,
   and food embodied in intra-regional and transnational inter-regional
   trade. China's current national export oriented economic growth strategy
   in East Asia is not sustainable from the WEFN perspective. China is a
   net virtual exporter of nexus resources