text:
.jp}},
ResearcherID-Numbers = {{Nansai, Keisuke/C-2516-2008
   Shigetomi, Yosuke/H-4422-2018
   }},
ORCID-Numbers = {{Shigetomi, Yosuke/0000-0003-1384-0992
   Tohno, Susumu/0000-0002-3936-5600}},
Funding-Acknowledgement = {{JSPSMinistry of Education, Culture, Sports, Science and Technology,
   Japan (MEXT)Japan Society for the Promotion of Science {[}26241031,
   16H01797, 24360210, 16H07072]}},
Funding-Text = {{We would like to thank the anonymous reviewers for their helpful and
   constructive comments on this paper. We also thank Nigel Harle of
   Gronsveld, the Netherlands, for his careful editing of our English. We
   also thank Wataru Takayanagi for preparing the graphic abstract of the
   paper. This research was supported in part by JSPS Grant-in-Aid for
   Scientific Research (A) (No. 26241031 and 16H01797), JSPS Grants-in-Aid
   for Scientific Research (B) (No. 24360210), and JSPS Grant-in-Aid for
   Research Activity Start-up (16H07072).}},
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Number-of-Cited-References = {{57}},
Times-Cited = {{8}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{11}},
Journal-ISO = {{Resour. Conserv. Recycl.}},
Doc-Delivery-Number = {{GC4KR}},
Unique-ID = {{ISI:000429753900037}},
DA = {{2020-08-06}},
}

@article{ ISI:000446040200011,
Author = {Wang Qin and Li Shuang-lin and Fu Jian-jian},
Title = {{THE INFLUENCES OF SSTA OVER KUROSHIO AND ITS EXTENSION ON RAINFALL IN
   NORTHEAST CHINA UNDER THE BACKGROUND OF TWO DIFFERENT EL NINO CASES}},
Journal = {{JOURNAL OF TROPICAL METEOROLOGY}},
Year = {{2018}},
Volume = {{24}},
Number = {{2}},
Pages = {{232-242}},
Month = {{JUN}},
Abstract = {{By using the gauged rainfall in 160 stations within mainland China and
   the NCEP/NCAR reanalysis data, the impacts of anomalous SST in Kuroshio
   and its extension on precipitation in Northeast China were investigated.
   The results show that a difference in the meridional circulation such as
   the East Asia/Pacific teleconnection pattern (EAP) may be responsible
   for the difference in rainfall between 1998 and 2010. In comparison with
   1998, the anomalous meridional circulation pattern in 2010 shifted
   northeastward, and then the western subtropical high, the
   mid-latitudinal trough and the northeastern Asia blocking high also
   shifted northeastward, causing intensified convergence of the cold and
   warm air masses at the southern region and thus more rainfall in the
   southwestern region and less in the northwestern region. In 1998, the
   anomalous cyclone, one component of the meridional pattern, located at
   the Songhuajiang-Nengjiang River basin, resulted in more rainfall in the
   majority of the area. The results of observation and the model show that
   the difference in SSTA in Kuroshio and its extension under the
   background of different El Nino events is the key point: (1) The
   anomalous warmth moved westward from the mid-Pacific to the east of the
   Philippine Sea during the central event, which led the heat resources
   shifting to the northeast in 2010; subsequently, a shift occurred to the
   north of the anomalous ascent and decent, followed by a warm SSTA in the
   region of Kuroshio's extension in 2010 and Kuroshio in 1998. (2) The
   warm SSTA in the Kuroshio extension causing the Rossby wave activity
   flux strengthened in 2010, and then the westerly jet shifted northward
   and extended eastward. A warm SSTA in Kuroshio and cold SSTA in its
   extension in 1998 caused the westerly jet to shift southward and weaken.
   As a result, the anomalous anticyclone and cyclone shifted northward in
   2010, and the blocking high also shifted northward.}},
Publisher = {{JOURNAL  OF TROPICAL METEOROLOGICAL PRESS}},
Address = {{6 FU JIN RD, GUANGZHOU, 510080, PEOPLES R CHINA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Wang, Q (Corresponding Author), Civil Aviat Flight Univ China, Guanghan 618307, Sichuan, Peoples R China.
   Wang Qin, Civil Aviat Flight Univ China, Guanghan 618307, Sichuan, Peoples R China.
   Li Shuang-lin; Fu Jian-jian, Chinese Acad Sci, Inst Atmospher Phys, Beijing 100029, Peoples R China.}},
DOI = {{10.16555/j.1006-8775.2018.02.011}},
ISSN = {{1006-8775}},
Keywords = {{central El Nino; summer rainfall; Kuroshio extension; anomalous sea
   surface temperature}},
Keywords-Plus = {{CLIMATE ANOMALIES; SUMMER; IMPACTS; ATMOSPHERE; PACIFIC; EVENTS; MODOKI;
   ENSO}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{wangq\_134@163.com}},
Funding-Acknowledgement = {{National Basic Research Program of China (973 Program)National Basic
   Research Program of China {[}2012CB417403]; National Natural Science
   Foundation of China (NSFC)National Natural Science Foundation of China
   {[}41205048]}},
Funding-Text = {{National Basic Research Program of China (973 Program) (2012CB417403);
   National Natural Science Foundation of China (NSFC, 41205048)}},
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Number-of-Cited-References = {{34}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{4}},
Journal-ISO = {{J. Trop. Meteorol.}},
Doc-Delivery-Number = {{GV4AR}},
Unique-ID = {{ISI:000446040200011}},
DA = {{2020-08-06}},
}

@article{ ISI:000440834100003,
Author = {Illig, Serena and Bachelery, Marie-Lou and Cadier, Emeline},
Title = {{Subseasonal Coastal-Trapped Wave Propagations in the Southeastern
   Pacific and Atlantic Oceans: 2. Wave Characteristics and Connection With
   the Equatorial Variability}},
Journal = {{JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS}},
Year = {{2018}},
Volume = {{123}},
Number = {{6}},
Pages = {{3942-3961}},
Month = {{JUN}},
Abstract = {{The objective of this study is to compare the characteristics of the
   oceanic teleconnection with the linear equatorial dynamics of two
   upwelling systems along the southwestern South American and African
   continents at subseasonal time scales (<120 days). Altimetric data
   analysis shows that the coastal variability remains coherent with the
   equatorial signal until 27 degrees S in the southeastern Pacific (SEP),
   while in the southeastern Atlantic (SEA) it fades out south of 12
   degrees S. To explain this striking difference, our methodology is based
   on the experimentation with twin regional model configurations of the
   SEP and SEA Oceans. The estimation of free Coastal-Trapped Waves (CTWs)
   modal structures and associated contribution to coastal variability
   allows inferring and comparing the characteristics of each CTW mode in
   the two systems; namely, their forcings, amplitude, dissipation rate,
   and scattering. Results show that the Pacific subseasonal equatorial
   forcing is only 20\% larger than in the Atlantic, but important
   differences in the relative contribution of each baroclinic mode are
   reported. The first baroclinic mode dominates the eastern equatorial
   Pacific variability, while in the eastern equatorial Atlantic, the
   second mode is the most energetic. This leads to a drastic increase in
   the dissipation and scattering of the remotely forced CTW in the SEA
   sector, compared to the coastal SEP. Concomitantly, south of 15 degrees
   S, the subseasonal coastal wind stress forcing is substantially more
   energetic in the SEA and participates in breaking the link between the
   equatorial forcing and the coastal variability. Our results are
   consistent with the solutions of a simple multimode CTW model.
   Plain Language Summary The Humboldt and the Benguela upwelling systems
   are connected to the equatorial variability. Part of the incoming
   eastward equatorial wave energy is transmitted southward along the South
   American and African coasts as Coastal-Trapped Waves, where they imprint
   on the ecosystem variability. At subseasonal time scales (<120 days),
   altimetry reveals that the coastal variability remains coherent with the
   equatorial signal until 27 degrees S in the southeastern Pacific, while
   in the Atlantic counterpart it fades out south of 12 degrees S. To
   explain this striking difference, we compare the characteristics of
   coastal waves between the two systems: their forcing at the equator,
   their dissipation and scattering along their propagation, and the
   energization by the coastal wind stress. We use a variety of ocean
   models of different complexity ranging from regional general circulation
   models to simple linear coastal models. Results show that the difference
   between the two systems regarding the connection with the equatorial
   variability can be attributed to the distinct characteristics of their
   equatorial forcing. The latter favors fast and weakly dissipative
   coastal wave in the Humboldt. Off southwestern Africa, the
   equatorially-forced coastal-trapped waves dissipate at approximate to 13
   degrees S and the subseasonal coastal wind stress forcing which is
   energetic south of 15 degrees S, participates in breaking the link
   between the equatorial and coastal variabilities.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Illig, S (Corresponding Author), UPS, CNRS, LEGOS, CNRS,IRD,CNES, Toulouse, France.
   Illig, S (Corresponding Author), Univ Cape Town, LMI ICEMASA, MARE Inst, Dept Oceanog, Cape Town, South Africa.
   Illig, Serena, UPS, CNRS, LEGOS, CNRS,IRD,CNES, Toulouse, France.
   Illig, Serena; Bachelery, Marie-Lou; Cadier, Emeline, Univ Cape Town, LMI ICEMASA, MARE Inst, Dept Oceanog, Cape Town, South Africa.
   Bachelery, Marie-Lou, Univ Cape Town, Marine Res Inst, Nansen Tutu Ctr, Dept Oceanog, Cape Town, South Africa.}},
DOI = {{10.1029/2017JC013540}},
ISSN = {{2169-9275}},
EISSN = {{2169-9291}},
Keywords = {{Coastal Trapped Waves; Eastern Boundary Upwelling Systems; model
   experimentation; subseasonal variability; linear coastal model;
   altimetry}},
Keywords-Plus = {{BENGUELA UPWELLING SYSTEM; INTERANNUAL VARIABILITY; EL-NINO; SEASONAL
   CYCLE; CENTRAL CHILE; PERU; CURRENTS; REMOTE; PRODUCTIVITY; MODEL}},
Research-Areas = {{Oceanography}},
Web-of-Science-Categories  = {{Oceanography}},
Author-Email = {{serena.illig@ird.fr}},
ResearcherID-Numbers = {{Illig, Serena/F-5058-2018}},
ORCID-Numbers = {{Illig, Serena/0000-0001-5490-3326}},
Funding-Acknowledgement = {{CNES (OSTST project EBUS-SOUTH); EU FP7/2007-2013 {[}603521]; NRF SARCHI
   chair on modeling ocean atmosphere land interactions}},
Funding-Text = {{We thank the CNES (OSTST project EBUS-SOUTH) for financial support.
   Marie-Lou Bachelery received funding from the EU FP7/2007-2013 under
   grant agreement 603521 and the NRF SARCHI chair on modeling ocean
   atmosphere land interactions. The authors thank Boris Dewitte for the
   valuable discussions throughout the course of this study. We sincerely
   acknowledge our native (English) scientist Ross Blamey, who kindly
   helped us improve our French literary writing. We are also grateful to
   Kenneth H. Brink and Stephen Van Gorder for sharing their programs and
   kindly answered some technical questions. The authors acknowledge use of
   the Ferret program (NOAA PMEL, http://ferret.pmel.noaa.gov) for analysis
   and graphics in this paper. ROMS model and ROMS\_TOOLS software can be
   downloaded from https://www.croco-ocean.org. The ROMS model grid,
   forcing, and initial conditions were built using the ROMS\_TOOLS package
   (Penven et al., 2008) version 3.1. Computations were performed using
   facilities provided by the University of Cape Town's ICTS
   High-Performance Computing team (http://hpc.uct.ac.za). QuikSCAT wind
   stress data, AVISO Altimetric data, SODA, and ERA-INTERIM reanalysis
   outputs are freely available to the public on the dedicated websites of
   these programs. We thank the anonymous reviewers for their comments and
   suggestions that helped improved the manuscripts.}},
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Number-of-Cited-References = {{82}},
Times-Cited = {{8}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{J. Geophys. Res.-Oceans}},
Doc-Delivery-Number = {{GP4KP}},
Unique-ID = {{ISI:000440834100003}},
DA = {{2020-08-06}},
}

@article{ ISI:000440955700007,
Author = {Manderson, Edward J. and Considine, Timothy J.},
Title = {{An Economic Perspective on Industrial Ecology}},
Journal = {{REVIEW OF ENVIRONMENTAL ECONOMICS AND POLICY}},
Year = {{2018}},
Volume = {{12}},
Number = {{2}},
Pages = {{304-323}},
Month = {{SUM}},
Publisher = {{OXFORD UNIV PRESS}},
Address = {{GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Manderson, EJ (Corresponding Author), Univ Manchester, Sch Social Sci, Econ, Arthur Lewis Bldg, Manchester M13 9PL, Lancs, England.
   Manderson, Edward J., Univ Manchester, Sch Social Sci, Econ, Arthur Lewis Bldg, Manchester M13 9PL, Lancs, England.
   Considine, Timothy J., Univ Wyoming, Dept Econ \& Finance, Econ, Dept 3985,1000 E Univ Ave,Coll Business 323E, Laramie, WY 82071 USA.}},
DOI = {{10.1093/reep/rey001}},
ISSN = {{1750-6816}},
EISSN = {{1750-6824}},
Keywords-Plus = {{LIFE-CYCLE ASSESSMENT; SUPPLY CHAIN MANAGEMENT; INPUT-OUTPUT-ANALYSIS;
   CONSEQUENTIAL LCA; ENVIRONMENTAL EXTERNALITIES; SUSTAINABILITY
   ASSESSMENT; CONSUMPTION; INVENTORY; ENERGY; WATER}},
Research-Areas = {{Business \& Economics; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Economics; Environmental Studies}},
Author-Email = {{edward.manderson@manchester.ac.uk
   tconsidi@uwyo.edu}},
ORCID-Numbers = {{Considine, Timothy/0000-0001-6844-9494}},
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Number-of-Cited-References = {{96}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{5}},
Usage-Count-Since-2013 = {{21}},
Journal-ISO = {{Rev. Env. Econ. Policy}},
Doc-Delivery-Number = {{GP5ZH}},
Unique-ID = {{ISI:000440955700007}},
DA = {{2020-08-06}},
}

@article{ ISI:000439401800082,
Author = {Corona, Claudia R. and Gurdak, Jason J. and Dickinson, Jesse E. and
   Ferre, T. P. A. and Maurer, Edwin P.},
Title = {{Climate variability and vadose zone controls on damping of transient
   recharge}},
Journal = {{JOURNAL OF HYDROLOGY}},
Year = {{2018}},
Volume = {{561}},
Pages = {{1094-1104}},
Month = {{JUN}},
Abstract = {{Increasing demand on groundwater resources motivates understanding of
   the controls on recharge dynamics so model predictions under current and
   future climate may improve. Here we address questions about the
   nonlinear behavior of flux variability in the vadose zone that may
   explain previously reported teleconnections between global-scale climate
   variability and fluctuations in groundwater levels. We use hundreds of
   HYDRUS-1D simulations in a sensitivity analysis approach to evaluate the
   damping depth of transient recharge over a range of periodic boundary
   conditions and vadose zone geometries and hydraulic parameters that are
   representative of aquifer systems of the conterminous United States
   (U.S). Although the models were parameterized based on U.S. aquifers,
   findings from this study are applicable elsewhere that have mean
   recharge rates between 3.65 and 730 mm yr(-1). We find that mean
   infiltration flux, period of time varying infiltration, and hydraulic
   conductivity are statistically significant predictors of damping depth.
   The resulting framework explains why some periodic infiltration fluxes
   associated with climate variability dampen with depth in the vadose
   zone, resulting in steady-state recharge, while other periodic surface
   fluxes do not dampen with depth, resulting in transient recharge. We
   find that transient recharge in response to the climate variability
   patterns could be detected at the depths of water levels in most U.S.
   aquifers. Our findings indicate that the damping behavior of transient
   infiltration fluxes is linear across soil layers for a range of texture
   combinations. The implications are that relatively simple, homogeneous
   models of the vadose zone may provide reasonable estimates of the
   damping depth of climate-varying transient recharge in some complex,
   layered vadose zone profiles. (C) 2017 Elsevier B.V. All rights
   reserved.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Gurdak, JJ (Corresponding Author), San Francisco State Univ, Dept Earth \& Climate Sci, San Francisco, CA 94132 USA.
   Corona, Claudia R.; Gurdak, Jason J., San Francisco State Univ, Dept Earth \& Climate Sci, San Francisco, CA 94132 USA.
   Dickinson, Jesse E., US Geol Survey, Arizona Water Sci Ctr, Tucson, AZ USA.
   Ferre, T. P. A., Univ Arizona, Dept Hydrol \& Water Resources, Tucson, AZ 85721 USA.
   Maurer, Edwin P., Santa Clara Univ, Dept Civil Engn, Santa Clara, CA 95053 USA.}},
DOI = {{10.1016/j.jhydrol.2017.08.028}},
ISSN = {{0022-1694}},
EISSN = {{1879-2707}},
Keywords = {{Recharge; Climate variability; Vadose zone; Damping; Linear
   superposition}},
Keywords-Plus = {{PACIFIC DECADAL OSCILLATION; ATMOSPHERE TELECONNECTION PATTERNS;
   GROUNDWATER LEVEL RESPONSE; NORTH-ATLANTIC OSCILLATION; SOUTHWESTERN
   UNITED-STATES; HYDROLOGIC TIME-SERIES; INTERANNUAL VARIABILITY; SOUTHERN
   OSCILLATION; WATER; ENSO}},
Research-Areas = {{Engineering; Geology; Water Resources}},
Web-of-Science-Categories  = {{Engineering, Civil; Geosciences, Multidisciplinary; Water Resources}},
Author-Email = {{jgurdak@sfsu.edu}},
ResearcherID-Numbers = {{Dickinson, Jesse/I-7177-2016
   }},
ORCID-Numbers = {{Dickinson, Jesse/0000-0002-0048-0839
   Ferre, Paul/0000-0002-5209-1798}},
Funding-Acknowledgement = {{National Science Foundation (NSF) Hydrologic Sciences programNational
   Science Foundation (NSF)NSF - Directorate for Geosciences (GEO)
   {[}EAR-1316553]; UNESCO Groundwater Resource Assessment under the
   Pressures of Humanity and Climate Change (GRAPHIC) program;
   Groundwater@Global Palaeo climate Signals (G@GPS) program (under award
   INQUA TERPRO IFG) {[}1616F]; Groundwater@Global Palaeo climate Signals
   (G@GPS) program (under award IGCP) {[}618]; Achievement Rewards for
   College Scientists (ARCS) Foundation}},
Funding-Text = {{This research was supported by the National Science Foundation (NSF)
   Hydrologic Sciences program under the award \#EAR-1316553; UNESCO
   Groundwater Resource Assessment under the Pressures of Humanity and
   Climate Change (GRAPHIC) program; Groundwater@Global Palaeo climate
   Signals (G@GPS) program (under awards INQUA TERPRO IFG \#1616F; and IGCP
   \#618); and two graduate student scholarships (2014-2015; 2015-2016)
   from the Achievement Rewards for College Scientists (ARCS) Foundation.}},
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Number-of-Cited-References = {{59}},
Times-Cited = {{8}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{5}},
Journal-ISO = {{J. Hydrol.}},
Doc-Delivery-Number = {{GN8HZ}},
Unique-ID = {{ISI:000439401800082}},
DA = {{2020-08-06}},
}

@article{ ISI:000437831400008,
Author = {Wu, Sanmang and Wu, Yanrui and Lei, Yalin and Li, Shantong and Li, Li},
Title = {{Chinese Provinces' CO2 Emissions Embodied in Imports and Exports}},
Journal = {{EARTHS FUTURE}},
Year = {{2018}},
Volume = {{6}},
Number = {{6}},
Pages = {{867-881}},
Month = {{JUN}},
Abstract = {{In this study, we use input-output analysis to measure CO2 emissions
   (CEs) embodied in Chinese provinces' exports and imports and explore the
   interprovincial spillover of CEs induced by exports through the domestic
   supply chains. The findings of this paper are as follows: Eastern
   provinces were the main production locations of CO2 emissions embodied
   in exports (EEE) and the major demand locations of CO2 emissions
   embodied in imports (EEI) in China. The sum of the Eastern provinces'
   EEE accounted for approximately 60\% of the national EEE, and the sum of
   the Eastern provinces' EEI accounted for approximately 80\% of the
   national EEI in 2012. However, the central and western provinces were
   the primary source locations of China's balance of CO2 emissions
   embodied in international trade (BEET). In 2012, the proportion of the
   central and western provinces' BEET in the national BEET was more than
   90\%. The exports of eastern provinces have an important spillover
   effect on CEs in the central and western provinces. The proportion of
   CEs of central provinces caused by eastern provinces' exports in central
   provinces' EEE was 70.21\%, and the corresponding proportion in western
   provinces was 69.65\% in 2012. The reason for this is that the central
   and western provinces were the primary providers of highly
   energy-intensive intermediate products for eastern provinces' exports,
   and the central and western provinces' large amounts of CEs were caused
   by the eastern provinces' exports through the domestic supply chains.
   According to the empirical results of the study, some policy
   recommendations are given.
   Plain Language Summary The import CO2 emissions and export CO2 emissions
   in China grew rapidly, and China was a net exporter of CO2. China's
   entry into the World Trade Organization promoted import CO2 and export
   CO2 to a large extent. After the global financial crisis in 2008/2009,
   there was a negative growth of China's balance of CO2 emissions embodied
   in international trade. The eastern provinces were the main production
   locations of export CO2 and the major demand locations of import CO2 in
   China. The eastern provinces' export CO2 accounted for approximately
   60\% of the national export CO2, and the eastern provinces' import CO2
   accounted for approximately 80\% of the national import CO2 in 2012. The
   central and western provinces were the primary source locations of
   China's balance of CO2 emissions embodied in international trade. The
   central and western provinces' large amount of CO2 emissions were caused
   by the eastern provinces' exports through the domestic supply chains.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Wu, SM (Corresponding Author), China Univ Geosci, Sch Humanities \& Econ Management, Beijing, Peoples R China.
   Wu, SM (Corresponding Author), Minist Land \& Resource, Key Lab Carrying Capac Assessment Resource \& Envi, Beijing, Peoples R China.
   Wu, Sanmang; Lei, Yalin; Li, Li, China Univ Geosci, Sch Humanities \& Econ Management, Beijing, Peoples R China.
   Wu, Sanmang; Lei, Yalin; Li, Li, Minist Land \& Resource, Key Lab Carrying Capac Assessment Resource \& Envi, Beijing, Peoples R China.
   Wu, Yanrui, Univ Western Australia, Sch Business, Crawley, WA, Australia.
   Li, Shantong, Dev Res Ctr State Council, Beijing, Peoples R China.}},
DOI = {{10.1029/2018EF000913}},
ISSN = {{2328-4277}},
Keywords = {{CO2 emissions embodied in exports (EEE); CO2 emissions embodied in
   imports (EEI); multiregional input-output (MRIO)}},
Keywords-Plus = {{INTERNATIONAL-TRADE; CARBON FOOTPRINT; RESPONSIBILITY}},
Research-Areas = {{Environmental Sciences \& Ecology; Geology; Meteorology \& Atmospheric
   Sciences}},
Web-of-Science-Categories  = {{Environmental Sciences; Geosciences, Multidisciplinary; Meteorology \&
   Atmospheric Sciences}},
Author-Email = {{wusanmang@sina.com}},
ResearcherID-Numbers = {{Wu, Yanrui/C-2458-2013
   wu, sanmang/AAE-4087-2020}},
ORCID-Numbers = {{Wu, Yanrui/0000-0002-8966-1459
   wu, sanmang/0000-0002-0375-1761}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}71773118, 71733003]}},
Funding-Text = {{The authors are grateful for financial support from the National Natural
   Science Foundation of China under grants 71773118 and 71733003. The data
   used in the analysis are publicly available and can be found following
   the references.}},
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Number-of-Cited-References = {{55}},
Times-Cited = {{8}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{15}},
Journal-ISO = {{Earth Future}},
Doc-Delivery-Number = {{GM1MG}},
Unique-ID = {{ISI:000437831400008}},
OA = {{DOAJ Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000438000600002,
Author = {Meng, Bo and Peters, Glen P. and Wang, Zhi and Li, Meng},
Title = {{Tracing CO2 emissions in global value chains}},
Journal = {{ENERGY ECONOMICS}},
Year = {{2018}},
Volume = {{73}},
Pages = {{24-42}},
Month = {{JUN}},
Abstract = {{This paper integrates two lines of research into a unified conceptual
   framework: trade in value-added and embodied emissions in trade. This
   allows both value-added and emissions to be systematically traced at the
   country, sector, and bilateral levels through various routes in global
   value chains. By combining value-added and emissions accounting in a
   consistent way, the potential environmental cost along global value
   chains can be estimated from different perspectives like production,
   consumption, and trade. Using this unified accounting framework, we
   trace value-added and CO2 emissions in global production and trade
   networks among 41 economies in 35 sectors from 1995 to 2009 based on the
   World Input-Output Database, and show how they improve our understanding
   of the impacts of cross-border production sharing on the environment.
   (C) 2018 Elsevier B.V. All rights reserved.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Li, M (Corresponding Author), Tsinghua Univ, Beijing, Peoples R China.
   Meng, Bo, IDE JETRO, Chiba, Japan.
   Peters, Glen P., Ctr Int Climate \& Environm Res, Oslo, Norway.
   Wang, Zhi, Univ Int Business \& Econ, Beijing, Peoples R China.
   Wang, Zhi, George Mason Univ, Fairfax, VA 22030 USA.
   Li, Meng, Tsinghua Univ, Beijing, Peoples R China.}},
DOI = {{10.1016/j.eneco.2018.05.013}},
ISSN = {{0140-9883}},
EISSN = {{1873-6181}},
Keywords = {{Embodied emissions; Trade in value-added; Global value chains; Carbon
   footprint; Carbon intensity; Input-output analysis; International trade}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; INTERNATIONAL-TRADE; VERTICAL SPECIALIZATION;
   GROWTH; CHINA; CONSUMPTION; CARBON; FOOTPRINT; SPILLOVER; DATABASE}},
Research-Areas = {{Business \& Economics}},
Web-of-Science-Categories  = {{Economics}},
Author-Email = {{bo\_meng@ide.go.jp
   glen.peters@cicero.oslo.no
   wangzhi@uibe.edu.cn
   li-m14@mails.tsinghua.edu.cn}},
ResearcherID-Numbers = {{Meng, Bo/AAP-5042-2020
   Peters, Glen P/B-1012-2008}},
ORCID-Numbers = {{Meng, Bo/0000-0003-1179-5390
   Peters, Glen P/0000-0001-7889-8568}},
Funding-Acknowledgement = {{IDE (JETRO)-CIDEG (Tsinghua University)-USITC-IGLCE (Nagoya University)
   {[}2014-B-4-02]; National Natural Science Foundation of ChinaNational
   Natural Science Foundation of China {[}G0304-71733002]; Stanford Center
   for International Development {[}2015-525]}},
Funding-Text = {{The views in the paper are those of the authors and may not reflect the
   views of the organization that the authors are affiliated with. We thank
   Prof. Jinjun XUE (Nagoya University, Japan) Dr. Masami ISHIDA
   (IDE-JETRO) for their helpful comments on the previous version of the
   draft. We appreciate the financial support from the IDE (JETRO)-CIDEG
   (Tsinghua University)-USITC-IGLCE (Nagoya University)'s international
   joint research project `Tracing China's CO<INF>2</INF> Emissions in
   Global Supply Chains{''} (grant No.2014-B-4-02). Zhi WANG also thanks
   the financial support from National Natural Science Foundation of China
   (grant No. G0304-71733002) and the research support from Stanford Center
   for International Development (ref No. 2015-525).}},
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Number-of-Cited-References = {{42}},
Times-Cited = {{25}},
Usage-Count-Last-180-days = {{12}},
Usage-Count-Since-2013 = {{56}},
Journal-ISO = {{Energy Econ.}},
Doc-Delivery-Number = {{GM3JJ}},
Unique-ID = {{ISI:000438000600002}},
OA = {{Green Published}},
DA = {{2020-08-06}},
}

@article{ ISI:000438000600020,
Author = {Zhang, Zengkai},
Title = {{Technology-adjusted national carbon accounting for a greener trade
   pattern}},
Journal = {{ENERGY ECONOMICS}},
Year = {{2018}},
Volume = {{73}},
Pages = {{274-285}},
Month = {{JUN}},
Abstract = {{Crediting green trade patterns is essential for effective national
   carbon accounting. Neither production- nor consumption-based accounting
   satisfies this condition. Thus, Kander et al. {[}Kander, A., Jiborn, M.,
   Moran, D.D., Wiedmann, T.O., 2015. National greenhouse-gas accounting
   for effective climate policy on international trade. Nature Climate
   Chang. 5(5):431-435.] proposed a technology-adjusted consumption-based
   carbon accounting method that focuses on interregional differences in
   sectoral carbon intensity. The intermediate input structure is also
   closely related to the production technology level. Therefore, this
   study recommends a new technology adjusted consumption-based carbon
   accounting framework that distinguishes between direct and cumulative
   exports, forward and backward industrial linkages, and different trade
   patterns. Based on the consideration that production-based accounting
   will remain the core indicator for regional emissions in the near
   future, this study proposes a technology-adjusted production-based
   accounting framework. The empirical study is based on the World
   Input-Output Database, and the results indicate that technology-adjusted
   carbon accounting will redraw the global emissions map if the
   intermediate input linkage is considered. The technology-adjusted carbon
   accounting method satisfies the conditions of additivity, sensitivity,
   monotonicity, and scale invariance, through proper selection of the
   world average emissions multipliers. (C) 2018 Elsevier B.V. All rights
   reserved.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Zhang, ZK (Corresponding Author), Tianjin Univ, Coll Management \& Econ, Tianjin 300072, Peoples R China.
   Zhang, Zengkai, Tianjin Univ, Coll Management \& Econ, Tianjin 300072, Peoples R China.
   Zhang, Zengkai, Tianjin Univ, China Acad Energy Environm \& Ind Econ, Tianjin 300072, Peoples R China.
   Zhang, Zengkai, Nankai Univ, China Reg Econ Applicat Lab, Tianjin 300071, Peoples R China.}},
DOI = {{10.1016/j.eneco.2018.05.025}},
ISSN = {{0140-9883}},
EISSN = {{1873-6181}},
Keywords = {{Carbon accounting; Intermediate input structure; Technology adjustment;
   Trade pattern; Input-output model}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; INTERNATIONAL-TRADE; CO2 EMISSIONS; BOTTOM-UP;
   TOP-DOWN; RESPONSIBILITY; CHINA; INCOME; METHANE}},
Research-Areas = {{Business \& Economics}},
Web-of-Science-Categories  = {{Economics}},
Author-Email = {{zengkaizhang@tju.edu.cn}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}71690243, 71603179]; Tianjin Program of
   Philosophy and Social Science {[}TJGL16-007Q]; Seed Foundation of
   Tianjin University {[}2017XSZ-0016]}},
Funding-Text = {{The author gratefully acknowledge the financial support from the
   National Natural Science Foundation of China (grant nos. 71690243 and
   71603179), Tianjin Program of Philosophy and Social Science
   (TJGL16-007Q), and Seed Foundation of Tianjin University (2017XSZ-0016).
   I also would like to thank the anonymous referees and the editors.}},
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Number-of-Cited-References = {{57}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{7}},
Usage-Count-Since-2013 = {{30}},
Journal-ISO = {{Energy Econ.}},
Doc-Delivery-Number = {{GM3JJ}},
Unique-ID = {{ISI:000438000600020}},
DA = {{2020-08-06}},
}

@article{ ISI:000438139000012,
Author = {Jin, Ronghua and Li, Yan and Long, Qingrou and Liu, Sijia},
Title = {{The 200-hPa Wind Perturbation in the Subtropical Westerly over East Asia
   Related to Medium-Range Forecast of Summer Rainfall in China}},
Journal = {{JOURNAL OF METEOROLOGICAL RESEARCH}},
Year = {{2018}},
Volume = {{32}},
Number = {{3}},
Pages = {{491-502}},
Month = {{JUN}},
Abstract = {{The 200-hPa wind perturbation (WP) in the subtropical westerly over East
   Asia (SWEA) has seldom been examined in previous studies, especially in
   connection with forecast of the summer rainfall in China. Based on the
   daily NCEP/NCAR reanalysis data and precipitation observations in China
   from 1 June to 31 August of 1960-2015, this study first systematically
   analyzes the spatiotemporal distribution features of the 200-hPa WP in
   the SWEA on different scales, especially during the Meiyu season in the
   Yangtze-Huaihe region and during the rainy period in North China, by
   using spectral decomposition and period analysis. It is found that in
   the 56-yr mean fields, the 200-hPa WP in the SWEA is collocated with the
   East Asian subtropical jet (EASJ), with the centers of the two systems
   coincidentally overlapped. The WP filed in the subtropical westerly
   mainly comprises planetary- and synoptic-scale waves. The
   quasi-stationary planetary-scale wave seems to determine the shape and
   intensity of the WP in the SWEA, while the synoptic-scale wave is
   closely related to the local central intensity of the WP. The daily
   evolution of the 56-yr mean fields shows that, following the northward
   (southward) movement of SWEA from 1 June to 31 August, the
   planetaryscale WP in the SWEA becomes gradually weakened (intensified)
   whereas the synoptic-scale WP is slightly intensified (weakened).
   The results also reveal that during the Meiyu season in the
   Yangtze-Huaihe region, the WP in the SWEA moves northward slowly around
   37A degrees-39A degrees N, demonstrating a quasi-biweekly oscillation in
   its geographic location, which is largely attributed to the strong
   (weak) planetary-scale (synoptic-scale) component. On the contrast, in
   the summer rainy season over North China, the WP in the SWEA further
   strives northward beyond 40A degrees N, showing both quasi-biweekly and
   weekly oscillations in its position; meanwhile, the planetary-scale wave
   in the SWEA becomes weakened whereas the synoptic-scale wave is
   enhanced. These salient variational features of the WP in the SWEA and
   its scaledependent components may be useful for the medium-range
   forecast of the rain belt migration in eastern China.}},
Publisher = {{SPRINGER HEIDELBERG}},
Address = {{TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Jin, RH (Corresponding Author), China Meteorol Adm, Natl Meteorol Ctr, Beijing 100081, Peoples R China.
   Jin, Ronghua, China Meteorol Adm, Natl Meteorol Ctr, Beijing 100081, Peoples R China.
   Li, Yan, Lanzhou Univ, Coll Atmospher Sci, Key Lab Semiarid Climate Change, Minist Educ, Lanzhou 730000, Gansu, Peoples R China.
   Long, Qingrou; Liu, Sijia, Chengdu Univ Informat Technol, Chengdu 610225, Sichuan, Peoples R China.}},
DOI = {{10.1007/s13351-018-7074-1}},
ISSN = {{2095-6037}},
EISSN = {{2198-0934}},
Keywords = {{westerly wind perturbation; subtropical westerly; East Asia; spectral
   decomposition; rainy season in eastern China; period analysis}},
Keywords-Plus = {{TROPOSPHERIC JET-STREAM; INTERANNUAL MERIDIONAL DISPLACEMENT; STATIONARY
   ROSSBY WAVES; TELECONNECTION PATTER