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Number-of-Cited-References = {{35}},
Times-Cited = {{22}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{11}},
Journal-ISO = {{Glob. Environ. Change-Human Policy Dimens.}},
Doc-Delivery-Number = {{GC1AN}},
Unique-ID = {{ISI:000429509100004}},
OA = {{Green Published, Other Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000425001400006,
Author = {Sarnthein, Michael and Grunert, Patrick and Khelifi, Nabil and Frank,
   Martin and Nuernberg, Dirk},
Title = {{Interhemispheric teleconnections: Late Pliocene change in Mediterranean
   outflow water linked to changes in Indonesian Through-Flow and Atlantic
   Meridional Overturning Circulation, a review and update}},
Journal = {{INTERNATIONAL JOURNAL OF EARTH SCIENCES}},
Year = {{2018}},
Volume = {{107}},
Number = {{2}},
Pages = {{505-515}},
Month = {{MAR}},
Abstract = {{The ultimate, possibly geodynamic control and potential impact of
   changes in circulation activity and salt discharge of Mediterranean
   outflow waters (MOW) on Atlantic meridional overturning circulation have
   formed long-standing objectives in paleoceanography. Late Pliocene
   changes in the distal advection of MOW were reconstructed on orbital
   timescales for northeast Atlantic DSDP/ODP sites 548 and 982 off
   Brittany and on Rockall Plateau, supplemented by a proximal record from
   Site U1389 west off Gibraltar, and compared to Western Mediterranean
   surface and deep-water records of Alboran Sea Site 978. From similar to
   3.43 to 3.3 Ma, MOW temperatures and salinities form a prominent rise by
   2-4 A degrees C and similar to 3 psu, induced by a preceding and coeval
   rise in sea surface and deep-water salinity and increased summer aridity
   in the Mediterranean Sea. We speculate that these changes triggered an
   increased MOW flow and were ultimately induced by a persistent 2.5 A
   degrees C cooling of Indonesian Through-Flow waters. The temperature
   drop resulted from the northward drift of Australia that crossed a
   threshold value near 3.6-3.3 Ma and led to a large-scale cooling of the
   eastern subtropical Indian Ocean and in turn, to a reduction of African
   monsoon rains. Vice versa, we show that the distinct rise in
   Mediterranean salt export after similar to 3.4 Ma induced a unique
   long-term rise in the formation of Upper North Atlantic Deep Water, that
   followed with a phase lag of similar to 100 ky. In summary, we present
   evidence for an interhemispheric teleconnection of processes in the
   Indonesian Gateways, the Mediterranean and Labrador Seas, jointly
   affecting Pliocene climate.}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Review}},
Language = {{English}},
Affiliation = {{Sarnthein, M (Corresponding Author), Univ Kiel, Inst Geosci, D-24098 Kiel, Germany.
   Sarnthein, Michael; Khelifi, Nabil, Univ Kiel, Inst Geosci, D-24098 Kiel, Germany.
   Grunert, Patrick, Karl Franzens Univ Graz, Inst Earth Sci, NAWI Graz Geoctr, A-8010 Graz, Austria.
   Khelifi, Nabil, Springer Verlag, D-69121 Heidelberg, Germany.
   Khelifi, Nabil; Frank, Martin; Nuernberg, Dirk, GEOMAR Helmholtz Ctr Ocean Res, D-24148 Kiel, Germany.}},
DOI = {{10.1007/s00531-017-1505-6}},
ISSN = {{1437-3254}},
EISSN = {{1437-3262}},
Keywords = {{Global climate change; Paleoceanography; Late Pliocene; Atlantic
   salinity balance; Shift of ocean gateway; Mediterranean climate}},
Keywords-Plus = {{INDIAN-OCEAN; SEA; INTENSIFICATION; PLEISTOCENE; DELTA-O-18; TIMESCALE;
   PACIFIC; MA}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary}},
Author-Email = {{ms@gpi.uni-kiel.de}},
ResearcherID-Numbers = {{Khelifi, Nabil/M-1092-2019
   Khelifi, Nabil/A-4716-2012}},
ORCID-Numbers = {{Khelifi, Nabil/0000-0001-8889-9492
   Khelifi, Nabil/0000-0001-8889-9492}},
Funding-Acknowledgement = {{Austrian Science Fund (FWF)Austrian Science Fund (FWF) {[}P25831-N29]}},
Funding-Text = {{We are thankful to Angela Garcia Gallardo (University of Graz) for the
   acquisition of the Zr/Al data at the Bremen Core Repository and thank
   DiNezio (University of Texas) for providing an early version of his
   manuscript on GCM model results. We acknowledge two constructive
   reviews, in particular one of Peter Molnar, and M. Latif (Geomar Kiel)
   for valuable advise on different modes of ENSO. The study contributes to
   project P25831-N29 of the Austrian Science Fund (FWF).}},
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Number-of-Cited-References = {{49}},
Times-Cited = {{4}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{21}},
Journal-ISO = {{Int. J. Earth Sci.}},
Doc-Delivery-Number = {{FW0QX}},
Unique-ID = {{ISI:000425001400006}},
DA = {{2020-08-06}},
}

@article{ ISI:000423648000020,
Author = {Pomponi, Francesco and Lenzen, Manfred},
Title = {{Hybrid life cycle assessment (LCA) will likely yield more accurate
   results than process-based LCA}},
Journal = {{JOURNAL OF CLEANER PRODUCTION}},
Year = {{2018}},
Volume = {{176}},
Pages = {{210-215}},
Month = {{MAR 1}},
Abstract = {{We analyse the comparative investigation into truncation vs. aggregation
   errors of process-based and hybrid LCA by Yang et al. 2017. We analyse
   the validity of their findings when the hypothetical five-sector economy
   is altered to account for realistic technological and sectoral
   interdependencies. We show that in such cases the truncation error of
   process-based LCA outweighs the aggregation error of hybrid LCA. To this
   end, we compare the dominant eigenvalue of our alternative economy with
   that of real economies, showing good agreement. The same validity check
   does not hold for the system used by Yang and colleagues. Additionally,
   we demonstrate that even simple process systems can have higher dominant
   eigenvalues, provided they are based on realistic data. (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 = {{Pomponi, F (Corresponding Author), Edinburgh Napier Univ, ISC, Edinburgh, Midlothian, Scotland.
   Pomponi, Francesco, Edinburgh Napier Univ, ISC, Edinburgh, Midlothian, Scotland.
   Lenzen, Manfred, Univ Sydney, Sch Phys A28, ISA, Sydney, NSW, Australia.}},
DOI = {{10.1016/j.jclepro.2017.12.119}},
ISSN = {{0959-6526}},
EISSN = {{1879-1786}},
Keywords = {{Hybrid; Life cycle assessment; Input-output; Process; Aggregation;
   Truncation error; Eigenvalues}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{Epomponi@napier.ac.uk}},
ResearcherID-Numbers = {{Pomponi, Francesco/J-6106-2019}},
ORCID-Numbers = {{Pomponi, Francesco/0000-0003-3132-2523}},
Funding-Acknowledgement = {{UK Engineering and Physical Sciences Research CouncilEngineering \&
   Physical Sciences Research Council (EPSRC) {[}EP/R01468X/1]; Australian
   Research CouncilAustralian Research Council {[}DP0985522, DP130101293];
   National eResearch Collaboration Tools and Resources project (NeCTAR)
   through Industrial Ecology Virtual Laboratory; Education Investment Fund}},
Funding-Text = {{This work was financially supported by the UK Engineering and Physical
   Sciences Research Council (EP/R01468X/1) and the Australian Research
   Council through its Discovery Projects DP0985522 and DP130101293, and by
   the National eResearch Collaboration Tools and Resources project
   (NeCTAR) through its Industrial Ecology Virtual Laboratory. NeCTAR are
   Australian Government projects conducted as part of the Super Science
   initiative and financed by the Education Investment Fund. The authors
   thank Sebastian Juraszek for expertly managing our advanced computation
   requirements, and Charlotte Jarabak for assistance with collecting data.
   Grateful thanks to Filippo D'Alimonte for his help with the process
   system based on ecoinvent data.}},
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Number-of-Cited-References = {{32}},
Times-Cited = {{33}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{23}},
Journal-ISO = {{J. Clean Prod.}},
Doc-Delivery-Number = {{FU1ZM}},
Unique-ID = {{ISI:000423648000020}},
OA = {{Green Accepted}},
DA = {{2020-08-06}},
}

@article{ ISI:000423648000027,
Author = {Tan, Feifei and Bi, Jun},
Title = {{An inquiry into water transfer network of the Yangtze River Economic
   Belt in China}},
Journal = {{JOURNAL OF CLEANER PRODUCTION}},
Year = {{2018}},
Volume = {{176}},
Pages = {{288-297}},
Month = {{MAR 1}},
Abstract = {{As a typical region moving forward on green development demonstration
   belt, Yangtze River Economic Belt (YREB) is sensitive to profound
   conflict between coordination development and unbalanced water
   allocation. Uncovering water transfer network can help improving water
   resource coordination development from the perspectiye of water-trade
   nexus. An integrated framework by uniting the interregional input-output
   (IRIO) analysis and social network analysis (SNA) in this study can
   estimate not only the scale and structure of water trade pattern, but
   also the topological characteristic of water transfer network of YREB.
   Results show that the rank of production-based virtual water volume was
   roughly in the order of middle, lower and upper reaches except Jiangsu,
   while the rank of consumption based virtual water volume was in the
   order of lower, middle and upper reaches. The provincial virtual water
   external dependence in YREB was not well consistent with the water
   resource endowment. Water transfer network was constructed on basis of
   the inter-provincial virtual water transfers between every two provinces
   inside YREB. Furthermore, the water transfer network assessment results
   illustrated the network structural form and revealed the network
   property and characteristics. Inside YREB, Shanghai, Jiangsu, Zhejiang,
   Anhui and Jiangxi were predominant in the water transfer network (from
   degree centrality), while Jiangxi, Hubei, Hunan and Anhui acted as the
   important medium and bridge (from betweenness centrality). The AFAF
   sector (Agriculture, Forestry, Animal husbandry and Fishery) and
   Industry sector of Jiangxi, and the Industry sector of Hubei and Jiangsu
   were the critical exporters in the network. Jiangsu received large
   amounts of virtual water from many good hubs and also transferred much
   to many good authorities when acted as bagmen in the network. Some
   provinces received large virtual water flow but provided few to others,
   such as Shanghai, and the AFAF sectors of most provinces transferred
   much to others. Thus, the research results would help understand the
   regional responsibility transfer in the hidden network linkages of
   interprovincial and intersectoral virtual water flows. (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 = {{Bi, J (Corresponding Author), Nanjing Univ, Sch Environm, Xianlin Ave 163, Nanjing 210023, Jiangsu, Peoples R China.
   Tan, Feifei; Bi, Jun, Nanjing Univ, Sch Environm, State Key Lab Pollut Control \& Resource Reuse, Nanjing 210046, Jiangsu, Peoples R China.
   Tan, Feifei, Nanjing Univ Finance \& Econ, Jiangsu Ind Dev Res Inst, Nanjing 210023, Jiangsu, Peoples R China.}},
DOI = {{10.1016/j.jclepro.2017.12.129}},
ISSN = {{0959-6526}},
EISSN = {{1879-1786}},
Keywords = {{Water transfer network; Virtual water flows; Inter-regional
   input-output; Social network analysis; Yangtze River Economic Belt
   (YREB)}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; VIRTUAL WATER; FOOTPRINT EVALUATION; REGIONAL
   TRADE; CONSUMPTION; FLOWS; NATIONS; MODEL; RESOURCES; SECTORS}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{tanfei129x@163.com
   jbi@nju.edu.cn}},
Funding-Acknowledgement = {{National Natural Science Foundation Programs in ChinaNational Natural
   Science Foundation of China {[}71603111]; National Natural Science
   Foundation in ChinaNational Natural Science Foundation of China
   {[}71433007]; General program of the Natural Science Research in
   Colleges and Universities of Jiangsu province in China {[}16KJB610007];
   China Postdoctoral Science FoudationChina Postdoctoral Science
   Foundation {[}2017M620207]}},
Funding-Text = {{We are grateful for support from the fund projects: National Natural
   Science Foundation Programs in China (No.71603111), State Key Program of
   National Natural Science Foundation in China (No.71433007), General
   program of the Natural Science Research in Colleges and Universities of
   Jiangsu province in China (16KJB610007), and China Postdoctoral Science
   Foudation (2017M620207).}},
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   Zhuo L, 2016, WATER RES, V94, P73, DOI 10.1016/j.watres.2016.02.037.}},
Number-of-Cited-References = {{49}},
Times-Cited = {{5}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{45}},
Journal-ISO = {{J. Clean Prod.}},
Doc-Delivery-Number = {{FU1ZM}},
Unique-ID = {{ISI:000423648000027}},
DA = {{2020-08-06}},
}

@article{ ISI:000423648000112,
Author = {Xu, Meng and Li, Chunhui and Wang, Xuan and Cai, Yanpeng and Yue,
   Wencong},
Title = {{Optimal water utilization and allocation in industrial sectors based on
   water footprint accounting in Dalian City, China}},
Journal = {{JOURNAL OF CLEANER PRODUCTION}},
Year = {{2018}},
Volume = {{176}},
Pages = {{1283-1291}},
Month = {{MAR 1}},
Abstract = {{The problem of fresh water scarcity is one of the major constraints for
   regional development. Rapid urbanization and rising economic prosperity
   has further exacerbated problems with not only water quantity, but also
   water quality. Hence, sustainable utilization of water resources should
   be a priority, especially in water stressed areas. However, most current
   studies on optimal water allocation models are based on physical water,
   which cannot fully reveal the water flows embedded in imported and
   exported raw materials and products throughout all production processes.
   Thus, they fail to achieve sustainability goals. Therefore, the
   objective of this study was to set up an optimal water allocation model
   for industrial sectors based on water footprint accounting. In this
   paper, first the internal and external blue and gray water footprints
   were evaluated. The results indicated that the external water footprint
   was the major contributor to Dalian's water footprint, which shared
   around 72.58\% of the total. Among all the industrial sectors, the
   chemical industry and chemical production sector had the highest total
   WF. Second, analyses of water productivity intensity of the WF and
   physical water for the industrial sectors were conducted. The comparison
   of the results revealed that physical water productivity intensity
   failed to explain the embedded water inflows in the production processes
   among the regions and sectors. Third, an optimization model based on the
   water footprint accounting results was thus set up. The optimal
   consequences indicated that a water allocation plan could meet both the
   water requirements for the blue and gray water footprints of the
   industrial sectors, and their target output goals as well. Therefore,
   this optimal allocation model is both rational and applicable for
   sustainable water utilization in future water management strategy
   formulations. (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 = {{Li, CH (Corresponding Author), Beijing Normal Univ, Sch Environm, State Key Lab Water Environm Simulat, Beijing 100875, Peoples R China.
   Xu, Meng; Li, Chunhui; Wang, Xuan, Beijing Normal Univ, Sch Environm, Minist Educ, Key Lab Water \& Sand Sci, Beijing 100875, Peoples R China.
   Xu, Meng, Zhejiang Univ Finance \& Econ, Sch Publ Adm, Hangzhou 310018, Peoples R China.
   Li, Chunhui; Wang, Xuan; Cai, Yanpeng, Beijing Normal Univ, Sch Environm, State Key Lab Water Environm Simulat, Beijing 100875, Peoples R China.
   Cai, Yanpeng, Univ Regina, Inst Energy Environm \& Sustainable Communities, 120,2 Res Dr, Regina, SK S4S 7H9, Canada.
   Yue, Wencong, Dongguan Univ Technol, Sch Ecol Environm \& Civil Engn, Dongguan 523808, Peoples R China.}},
DOI = {{10.1016/j.jclepro.2017.11.203}},
ISSN = {{0959-6526}},
EISSN = {{1879-1786}},
Keywords = {{Sustainable water utilization; Optimal water allocation; Blue water
   footprint; Gray water footprint; Water footprint intensity}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; HAIHE RIVER-BASIN; VIRTUAL WATER; DECOMPOSITION
   ANALYSIS; TRADE; CONSUMPTION; SUSTAINABILITY; RESOURCES; TRANSFERS;
   FLOWS}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{chunhuili@bnu.edu.cn}},
Funding-Acknowledgement = {{National key research and development program {[}2016YFC0401302];
   National Water Pollution Control and Treatment Science and Technology
   Major Project {[}2017ZX07301-001, 2015ZX07322002-06]; Social Science
   Project of Zhejiang Province {[}12JC1110YB]; Social Science Project of
   Education Department of Zhejiang Province (Sustainable Development of
   Coastal Areas based on Ecosystem Analysis)}},
Funding-Text = {{This research was supported by National key research and development
   program (2016YFC0401302), National Water Pollution Control and Treatment
   Science and Technology Major Project (2017ZX07301-001), Social Science
   Project of Zhejiang Province (12JC1110YB), Social Science Project of
   Education Department of Zhejiang Province (Sustainable Development of
   Coastal Areas based on Ecosystem Analysis), Sub-project (Research on
   Urban Drainage \& Sewage Treatment Regulation Mechanism and Policy) of
   National Water Pollution Control and Treatment Science and Technology
   Major Project (2015ZX07322002-06), Besides, we would like to extend
   special thanks to the editor and the anonymous reviewers for their
   valuable comments in greatly improving the quality of this paper.}},
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Number-of-Cited-References = {{62}},
Times-Cited = {{16}},
Usage-Count-Last-180-days = {{6}},
Usage-Count-Since-2013 = {{88}},
Journal-ISO = {{J. Clean Prod.}},
Doc-Delivery-Number = {{FU1ZM}},
Unique-ID = {{ISI:000423648000112}},
DA = {{2020-08-06}},
}

@article{ ISI:000427447000006,
Author = {Gao, Miaoni and Wang, Bin and Yang, Jing and Dong, Wenjie},
Title = {{Are Peak Summer Sultry Heat Wave Days over the Yangtze-Huaihe River
   Basin Predictable?}},
Journal = {{JOURNAL OF CLIMATE}},
Year = {{2018}},
Volume = {{31}},
Number = {{6}},
Pages = {{2185-2196}},
Month = {{MAR}},
Abstract = {{The Yangtze-Huaihe River basin (YHRB) is the core region of sultry heat
   wave occurrence over China during peak summer {[}July and August (JA)].
   The extremely hot and muggy weather is locally controlled by a
   descending high pressure anomaly connected to the western Pacific
   subtropical high. During 1961-2015, the heat wave days (HWDs) in JA over
   the YHRB exhibit large year-to-year and decadal variations. Prediction
   of the total number of HWDs in JA is of great societal and scientific
   importance. The summer HWDs are preceded by a zonal dipole SST tendency
   pattern in the tropical Pacific and a meridional tripole SST anomaly
   pattern over the North Atlantic. The former signifies a rapid transition
   from a decaying central Pacific El Nino in early spring to a developing
   eastern Pacific La Nina in summer, which enhances the western Pacific
   subtropical high and increases pressure over the YHRB by altering the
   Walker circulation. The North Atlantic tripole SST anomalies persist
   from the preceding winter to JA and excite a circumglobal teleconnection
   pattern placing a high pressure anomaly over the YHRB. To predict the JA
   HWDs, a 1-month lead prediction model is established with the above two
   predictors. The forward-rolling hindcast achieves a significant
   correlation skill of 0.66 for 1981-2015, and the independent forecast
   skill made for 1996-2015 reaches 0.73. These results indicate the source
   of predictability of summer HWDs and provide an estimate for the
   potential predictability, suggesting about 55\% of the total variance
   may be potentially predictable. This study also reveals greater
   possibilities for dynamical models to improve their prediction skills.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Yang, J (Corresponding Author), Beijing Normal Univ, State Key Lab Earth Surface Proc \& Resource Ecol, Beijing, Peoples R China.
   Yang, J (Corresponding Author), Beijing Normal Univ, Acad Disaster Reduct \& Emergency Management, Beijing, Peoples R China.
   Yang, J (Corresponding Author), Beijing Normal Univ, Fac Geog Sci, Beijing, Peoples R China.
   Gao, Miaoni, Beijing Normal Univ, Minist Educ, Key Lab Environm Change \& Nat Disaster, Beijing, Peoples R China.
   Gao, Miaoni, Beijing Normal Univ, Sch Syst Sci, Beijing, Peoples R China.
   Wang, Bin, Univ Hawaii Manoa, Dept Atmospher Sci, Honolulu, HI 96822 USA.
   Wang, Bin, Univ Hawaii Manoa, Int Pacific Res Ctr, Honolulu, HI 96822 USA.
   Wang, Bin, Nanjing Univ Informat Sci \& Technol, Earth Syst Modeling Ctr, Nanjing, Jiangsu, Peoples R China.
   Yang, Jing, Beijing Normal Univ, State Key Lab Earth Surface Proc \& Resource Ecol, Beijing, Peoples R China.
   Yang, Jing, Beijing Normal Univ, Acad Disaster Reduct \& Emergency Management, Beijing, Peoples R China.
   Yang, Jing, Beijing Normal Univ, Fac Geog Sci, Beijing, Peoples R China.
   Dong, Wenjie, Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou, Guangdong, Peoples R China.}},
DOI = {{10.1175/JCLI-D-17-0342.1}},
ISSN = {{0894-8755}},
EISSN = {{1520-0442}},
Keywords-Plus = {{NORTHERN-HEMISPHERE SUMMER; CHINA; MORTALITY; EXTREMES; PACIFIC; IMPACT;
   MODEL}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{yangjing@bnu.edu.cn}},
ResearcherID-Numbers = {{Yang, Jing/C-6597-2013}},
ORCID-Numbers = {{Yang, Jing/0000-0001-7063-6264}},
Funding-Acknowledgement = {{National Key Research and Development Program-Global Change and
   Mitigation Project: Global Change Risk of Population and Economic
   System: Mechanism and Assessment {[}2016YFA0602401]; National Natural
   Science Foundation of ChinaNational Natural Science Foundation of China
   {[}41775071, 41621061, 41420104002]; National Research Foundation (NRF)
   of Korea through a Global Research Laboratory (GRL) - Korean Ministry of
   Education, Science and Technology (MEST) {[}2011-0021927]; National Key
   Research and Development Program {[}2016YFA0602503]}},
Funding-Text = {{Miaoni Gao and Jing Yang were supported by funds from the National Key
   Research and Development Program-Global Change and Mitigation Project:
   Global Change Risk of Population and Economic System: Mechanism and
   Assessment (Grant 2016YFA0602401) and the National Natural Science
   Foundation of China (Grants 41775071 and 41621061). Bin Wang
   acknowledges the support from the National Natural Science Foundation of
   China (Grant 41420104002) and the National Research Foundation (NRF) of
   Korea through a Global Research Laboratory (GRL) grant of the Korean
   Ministry of Education, Science and Technology (MEST; 2011-0021927). This
   study was supported by the National Key Research and Development Program
   project 2016YFA0602503. This is the NUIST-Earth System Modeling Center
   Publication 198, the School of Ocean and Earth Science and Technology
   Publication 10282, and the International Pacific Research Center
   Publication 1298.}},
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Number-of-Cited-References = {{41}},
Times-Cited = {{9}},
Usage-Count-Last-180-days = {{4}},
Usage-Count-Since-2013 = {{15}},
Journal-ISO = {{J. Clim.}},
Doc-Delivery-Number = {{FZ2XM}},
Unique-ID = {{ISI:000427447000006}},
DA = {{2020-08-06}},
}

@article{ ISI:000427447000014,
Author = {Zhu, Zhiwei},
Title = {{Breakdown of the Relationship between Australian Summer Rainfall and
   ENSO Caused by Tropical Indian Ocean SST Warming}},
Journal = {{JOURNAL OF CLIMATE}},
Year = {{2018}},
Volume = {{31}},
Number = {{6}},
Pages = {{2321-2336}},
Month = {{MAR}},
Abstract = {{The relationship between El Nino-Southern Oscillation (ENSO) and
   Australian summer rainfall (ASR) during 1960-2015 experienced an
   interdecadal change around the mid-1980s. Before the mid-1980s, ASR was
   significantly correlated with tropical central Pacific (TCP) sea surface
   temperature (SST), whereas after that it was not. While El Nino was
   always independent from ASR, La Nina had a close relationship with ASR.
   However, this relationship was weakened after the mid-1980s. The Indian
   Ocean SST warming might contribute to the weakening relationship between
   La Nina and ASR. For La Nina events before the mid-1980s, the negative
   SSTA over TCP and the southern tropical Indian Ocean induced a
   large-scale lower-level cyclonic anomaly over Australia, leading to
   nearly uniform positive precipitation over Australia. In this manner, a
   significant relationship between ASR and La Nina was established. On the
   contrary, for the La Nina events after the mid-1980s, because of the
   Indian Ocean SST warming, the equatorial eastern Indian Ocean and
   Maritime Continent presented positive SSTAs and enhanced moisture,
   favoring enhanced rainfall anomalies over the equatorial Maritime
   Continent. This enhanced rainfall condensation heating induced a
   lower-level cyclonic anomaly to the west of Australia. The northerly
   anomalies at the eastern flank of this cyclonic anomaly counteracted the
   southerly anomalies at the western flank of the cyclonic anomaly over
   eastern Australia induced by the negative TCP SSTA, leading to
   insignificant circulation and rainfall anomalies over Australia. As
   such, being interfered with by the equatorial Maritime Continent
   heating, the relationship between ASR and La Nina was weakened.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Zhu, ZW (Corresponding Author), Nanjing Univ Informat Sci \& Technol, Collaborat Innovat Ctr Forecast \& Evaluat Meteoro, Key Lab Meteorol Disaster, Joint Int Res Lab Climate \& Environm Change,Minis, Nanjing, Jiangsu, Peoples R China.
   Zhu, Zhiwei, Nanjing Univ Informat Sci \& Technol, Collaborat Innovat Ctr Forecast \& Evaluat Meteoro, Key Lab Meteorol Disaster, Joint Int Res Lab Climate \& Environm Change,Minis, Nanjing, Jiangsu, Peoples R China.}},
DOI = {{10.1175/JCLI-D-17-0132.1}},
ISSN = {{0894-8755}},
EISSN = {{1520-0442}},
Keywords-Plus = {{EL-NINO; SOUTHERN-OSCILLATION; MONSOON RAINFALL; INTERDECADAL
   MODULATION; VARIABILITY; PACIFIC; PRECIPITATION; TELECONNECTION;
   CLIMATE; PHASE}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{zwz@nuist.edu.cn}},
Funding-Acknowledgement = {{Natural Science Foundation of ChinaNational Natural Science Foundation
   of China {[}41605035]; Startup Foundation for Introducing Talent of
   NUIST; Priority Academic Program Development (PAPD) of Jiangsu Higher
   Education Institutions}},
Funding-Text = {{The three reviewers' constructive comments and suggestions greatly
   improved this manuscript. This work was supported by the Natural Science
   Foundation of China (Grant 41605035), the Startup Foundation for
   Introducing Talent of NUIST, and the Priority Academic Program
   Development (PAPD) of Jiangsu Higher Education Institutions.}},
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Number-of-Cited-References = {{45}},
Times-Cited = {{6}},
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Journal-ISO = {{J. Clim.}},
Doc-Delivery-Number = {{FZ2XM}},
Unique-ID = {{ISI:000427447000014}},
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DA = {{2020-08-06}},
}

@article{ ISI:000425074400037,
Author = {Long, Ruyin and Li, Jinqiu and Chen, Hong and Zhang, Linling and Li,
   Qianwen},
Title = {{Embodied carbon dioxide flow in international trade: A comparative
   analysis based on China and Japan}},
Journal = {{JOURNAL OF ENVIRONMENTAL MANAGEMENT}},
Year = {{2018}},
Volume = {{209}},
Pages = {{371-381}},
Month = {{MAR 1}},
Abstract = {{Carbon dioxide embodied flow in international trade has become an
   important factor in defining global carbon emission responsibility and
   climate policy. We conducted an empirical analysis for China and Japan
   for the years 2000-2014, using a multi-region input-output model and
   considering the rest of the world as a comparison group. We compared the
   two countries' direct and complete carbon dioxide emissions intensity
   and bilateral economic activities such as imports and exports,
   production and consumption to analyze the difference between China and
   Japan. The results showed that the intensities of carbon emissions in
   all sectors of China were higher than that in Japan and that China's
   annual production-based emissions were greater than consumption-based
   emissions, the opposite of these relationships in Japan. China was a
   typical net carbon export country, and carbon embodied in its imports
   and exports continued to increase throughout the study period. In
   contrast, Japan's volume and growth rate of embodied carbon emissions
   were far less than China's and Japan was a typical net carbon import
   country. Finally, the conclusions of this study support recommendations
   for the formulation of international carbon emission responsibility
   allocation, domestic abatement policy as well as China's trade policy.
   (C) 2018 Elsevier Ltd. All rights reserved.}},
Publisher = {{ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD}},
Address = {{24-28 OVAL RD, LONDON NW1 7DX, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Long, RY (Corresponding Author), China Univ Min \& Technol, Sch Management, Xuzhou 221116, Jiangsu, Peoples R China.
   Long, Ruyin; Li, Jinqiu; Chen, Hong; Zhang, Linling; Li, Qianwen, China Univ Min \& Technol, Sch Management, Xuzhou 221116, Jiangsu, Peoples R China.}},
DOI = {{10.1016/j.jenvman.2017.12.067}},
ISSN = {{0301-4797}},
EISSN = {{1095-8630}},
Keywords = {{Embodied carbon dioxide flow; Multi-regional input-output model;
   Production-based emissions; Consumption-based emissions; Import and
   export}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; CO2 EMISSIONS; CLIMATE-CHANGE; US TRADE;
   RESPONSIBILITY; CONSUMPTION; ECONOMIES; PRODUCER; POLICY}},
Research-Areas = {{Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Environmental Sciences}},
Author-Email = {{longruyin@163.com}},
ORCID-Numbers = {{Gong, Likun/0000-0001-8821-641X
   Li, Qianwen/0000-0001-5117-2695}},
Funding-Acknowledgement = {{Fundamental Research Funds for the Central UniversitiesFundamental
   Research Funds for the Central Universities {[}2017XKZD12]}},
Funding-Text = {{This study was supported by the Fundamental Research Funds for the
   Central Universities (2017XKZD12). The authors would like to extend
   special thanks to the editor and the anonymous reviewers for their
   constructive comments and suggestions for improving the quality of this
   study.}},
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Number-of-Cited-References = {{50}},
Times-Cited = {{26}},
Usage-Count-Last-180-days = {{5}},
Usage-Count-Since-2013 = {{53}},
Journal-ISO = {{J. Environ. Manage.}},
Doc-Delivery-Number = {{FW1QL}},
Unique-ID = {{ISI:000425074400037}},
DA = {{2020-08-06}},
}

@article{ ISI:000428700700015,
Author = {Chen, Mingyue and Kumar, Arun},
Title = {{Winter 2015/16 Atmospheric and Precipitation Anomalies over North
   America: El Nino Response and the Role of Noise}},
Journal = {{MONTHLY WEATHER REVIEW}},
Year = {{2018}},
Volume = {{146}},
Number = {{3}},
Pages = {{909-927}},
Month = {{MAR}},
Abstract = {{The possible causes for the observed winter 2015/16 precipitation
   anomalies, which were opposite to the mean El Nino signal over the U.S.
   Southwest, are analyzed based on the ensemble of forecasts from the NCEP
   Climate Forecast System, version 2 (CFSv2). The analysis focuses on the
   role of anomalous sea surface temperature (SST) forcing and the
   contributions of atmospheric internal variability. The model-predicted
   ensemble mean forecast for December-January-February 2015/16 (DJF
   2015/16) North American atmospheric anomalies compared favorably with
   the El Nino composite, although some difference existed. The predicted
   pattern was also like that in the previous strong El Nino events of
   1982/83 and 1997/98. Therefore, the model largely predicted the
   teleconnection and precipitation response pattern in DJF 2015/16 like
   the mean El Nino signal. The observed negative precipitation anomalies
   over the U.S. Southwest in DJF 2015/16 were not consistent either with
   the observed or with the model-predicted El Nino composite. Analysis of
   the member-to-member variability in the ensemble of forecast anomalies
   allowed quantification of the contribution of atmospheric internal
   variability in shaping seasonal mean anomalies. There were considerable
   variations in the outcome of DJF 2015/16 precipitation over North
   America from one forecast to another even though the predicted SSTs were
   nearly identical. The observed DJF 2015/16 precipitation anomalies were
   well within the envelope of possible forecast outcomes. Therefore, the
   atmospheric internal variability could have played a considerable role
   in determining the observed DJF 2015/16 negative precipitation anomalies
   over the U.S. Southwest, and its role is discussed in the context of
   differences in response.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Chen, MY (Corresponding Author), NOAA, Climate Predict Ctr, NWS, NCEP, College Pk, MD 20740 USA.
   Chen, Mingyue; Kumar, Arun, NOAA, Climate Predict Ctr, NWS, NCEP, College Pk, MD 20740 USA.}},
DOI = {{10.1175/MWR-D-17-0116.1}},
ISSN = {{0027-0644}},
EISSN = {{1520-0493}},
Keywords = {{Seasonal forecasting; Interannual variability}},
Keywords-Plus = {{FORECAST SYSTEM CFS; SURFACE-TEMPERATURE; MULTIMODEL ENSEMBLE; SEASONAL
   FORECASTS; SST ANOMALIES; VARIABILITY; CLIMATE; PREDICTABILITY; SKILL;
   SPECIFICATION}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{mingyue.chen@noaa.gov}},
ResearcherID-Numbers = {{, AK/B-6517-2008}},
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Number-of-Cited-References = {{55}},
Times-Cited = {{7}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{4}},
Journal-ISO = {{Mon. Weather Rev.}},
Doc-Delivery-Number = {{GA9YX}},
Unique-ID = {{ISI:000428700700015}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000423005400026,
Author = {Zhao, Wei and Yu, Hang and Liang, Sai and Zhang, Wenyu and Yang, Zhifeng},
Title = {{Resource impacts of municipal solid waste treatment systems in Chinese
   cities based on hybrid life cycle assessment}},
Journal = {{RESOURCES CONSERVATION AND RECYCLING}},
Year = {{2018}},
Volume = {{130}},
Pages = {{215-225}},
Month = {{MAR}},
Abstract = {{Municipal Solid Waste (MSW) management in Chinese cities is a
   significant challenge. However, the comprehensive resource impacts of
   MSW treatment systems in Chinese cities are unclear. This study presents
   a mixed unit hybrid life cycle assessment for MSW treatment systems. The
   comprehensive resource impacts of six MSW treatment systems in China are
   evaluated using this method: (1) landfilling, (2) landfilling with
   landfill gas utilization, (3) incineration with leachate spray, (4)
   composting + landfilling, (5) composting + incineration, and (6)
   incineration with leachate centralized treatment. The results show that
   composting + incineration has the lowest resource impacts except for raw
   coal extraction. Reusing by-products of MSW treatment systems can reduce
   resource extraction of the entire economy. By reusing the by-products,
   landfilling induces the largest extraction of fossil fuels and biomass,
   whereas landfilling with landfill gas utilization induces the largest
   extraction of mineral ores. Improving the diesel efficiency of the
   collection and transportation process, increasing by-product recovery
   efficiency, and decreasing moisture content of MSW have significant
   impacts on reducing resource impacts of MSW treatment systems. We also
   observed trade-offs in resource impacts of different MSW treatment
   systems. Compared to landfilling, landfilling with landfill gas
   utilization can reduce the induced fossil fuel extraction but increase
   the induced metal ore extraction. We observed similar situation when
   comparing incineration with leachate spray with composting +
   landfilling.
   Findings of this study provide scientific foundations to improve the
   resource efficiency of MSW treatment systems in Chinese cities. They
   also provide insights into the MSW management in other countries.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Liang, S (Corresponding Author), Beijing Normal Univ, Sch Environm, State Key Joint Lab Environm Simulat \& Pollut Con, Beijing 100875, Peoples R China.
   Zhao, Wei; Yu, Hang; Zhang, Wenyu, Liaoning Univ Technol, Sch Civil Engn \& Architecture, Jinzhou 121001, Peoples R China.
   Liang, Sai; Yang, Zhifeng, Beijing Normal Univ, Sch Environm, State Key Joint Lab Environm Simulat \& Pollut Con, Beijing 100875, Peoples R China.}},
DOI = {{10.1016/j.resconrec.2017.12.004}},
ISSN = {{0921-3449}},
EISSN = {{1879-0658}},
Keywords = {{China; City; Input-output analysis; Life cycle assessment; Municipal
   solid waste; Resources}},
Keywords-Plus = {{GREENHOUSE-GAS EMISSIONS; MANAGEMENT SCENARIOS; ASSESSMENT LCA;
   TECHNOLOGIES; INDICATOR; POWER}},
Research-Areas = {{Engineering; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Engineering, Environmental; Environmental Sciences}},
Author-Email = {{liangsai@bnu.edu.cn}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}41201583]; Program for Liaoning Excellent Talents
   in University {[}LJQ2013069]; Interdiscipline Research Funds of Beijing
   Normal University; Start-up Funds of Beijing Normal University
   {[}312232104]}},
Funding-Text = {{This work is supported by the National Natural Science Foundation of
   China (Grant No. 41201583) and Program for Liaoning Excellent Talents in
   University (Grant No. LJQ2013069). Sai Liang thanks the financial
   support of the Interdiscipline Research Funds of Beijing Normal
   University and the Start-up Funds of Beijing Normal University
   (312232104).}},
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Number-of-Cited-References = {{52}},
Times-Cited = {{6}},
Usage-Count-Last-180-days = {{11}},
Usage-Count-Since-2013 = {{84}},
Journal-ISO = {{Resour. Conserv. Recycl.}},
Doc-Delivery-Number = {{FT2VZ}},
Unique-ID = {{ISI:000423005400026}},
DA = {{2020-08-06}},
}

@article{ ISI:000429365200002,
Author = {Antokhina, O. Yu. and Antokhin, P. N. and Devyatova, E. V. and
   Martynova, Yu. V.},
Title = {{Atmospheric Blockings in Western Siberia. Part 2. Long-term Variations
   in Blocking Frequency and Their Relation with Climatic Variability over
   Asia}},
Journal = {{RUSSIAN METEOROLOGY AND HYDROLOGY}},
Year = {{2018}},
Volume = {{43}},
Number = {{3}},
Pages = {{143-151}},
Month = {{MAR}},
Abstract = {{This paper studies the long-term variability of frequency of atmospheric
   blockings over Western Siberia in 1948-2015 based on the data of three
   reanalysis projects. We revealed a decreasing blocking frequency for
   eight of twelve months. However, since the estimated trends of blocking
   frequency are small comparing to the significant amplitude of
   interannual variations, we proposed to divide the entire studied period
   into several quasi-decadal intervals that differ both in the amplitude
   of interannual fluctuations of blocking frequency and in trends. The
   effect of Western Siberian blockings imposed on synoptic and climatic
   variability of meteorological parameters in Asia was studied. The study
   demonstrated that in summer teleconnection patterns in temperature and
   precipitation fields are of the close sign-alternating structure; this
   indirectly indicates that in Western Siberia the blocking is a part of a
   large-scale wave mechanism. Like the Ural blockings, the blockings
   occurring over Western Siberia affect meteorological characteristics
   within the East Asian monsoon area. In winter time they contribute to
   lower surface temperature and decreased precipitation in Southeast Asia.
   In summer during blocking events over Western Siberia, precipitation
   increases in the East Asian monsoon area.}},
Publisher = {{PLEIADES PUBLISHING INC}},
Address = {{PLEIADES PUBLISHING INC, MOSCOW, 00000, RUSSIA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Antokhina, OY (Corresponding Author), Russian Acad Sci, Siberian Branch, Zuev Inst Atmospher Opt, Pl Akad Zueva 1, Tomsk, Russia.
   Antokhina, O. Yu.; Antokhin, P. N., Russian Acad Sci, Siberian Branch, Zuev Inst Atmospher Opt, Pl Akad Zueva 1, Tomsk, Russia.
   Devyatova, E. V., Russian Acad Sci, Inst Solar Terr