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Number-of-Cited-References = {{54}},
Times-Cited = {{3}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{4}},
Journal-ISO = {{Chemosphere}},
Doc-Delivery-Number = {{GB3QT}},
Unique-ID = {{ISI:000428973200035}},
DA = {{2020-08-06}},
}

@article{ ISI:000428828300010,
Author = {Zhang, Chao and Chen, Wei-Qiang and Ruth, Matthias},
Title = {{Measuring material efficiency: A review of the historical evolution of
   indicators, methodologies and findings}},
Journal = {{RESOURCES CONSERVATION AND RECYCLING}},
Year = {{2018}},
Volume = {{132}},
Pages = {{79-92}},
Month = {{MAY}},
Abstract = {{Increasing material efficiency, or material productivity, is essential
   for decoupling resource depletion and associated environmental pressures
   from economic development. This paper reviews the historical evolution
   of indicators monitoring material efficiency, their underpinning
   methodologies and major findings in the past three decades. Early
   studies investigated the material-economy relationship through intensity
   of use (IU) of some selected single materials. Economy-wide material
   flow accounting (EW-MFA) established a standardized framework for
   aggregating overall material inputs into an economy. Consumption-based
   material footprint (MF) analysis extended the system boundary to cover
   global resource extraction along supply chains to satisfy final
   consumption. Studies on material cycles (MC), especially metal cycles,
   further helped trace all major life cycle stages of anthropogenic
   material use, with the capability to account for in-use stocks of
   materials and products. Impact-based indicators investigate the
   opportunities to reduce negative environmental, social and economic
   impacts of material use, which is the ultimate purpose of improving
   material efficiency. Monitoring material efficiency with different
   indicators might lead to very different conclusions regarding a
   society's dependence on material and its dematerialization trend. We
   present a generalized framework for constructing all kinds of material
   efficiency/productivity indicators and make the case that election of
   indicators should be problem oriented and policy-relevant.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Review}},
Language = {{English}},
Affiliation = {{Zhang, C (Corresponding Author), Tongji Univ, Sch Econ \& Management, Shanghai 200092, Peoples R China.
   Zhang, Chao, Tongji Univ, Sch Econ \& Management, Shanghai 200092, Peoples R China.
   Chen, Wei-Qiang, Chinese Acad Sci, Inst Urban Environm, Key Lab Urban Environm \& Hlth, Xiamen 361021, Fujian, Peoples R China.
   Chen, Wei-Qiang, Xiamen Key Lab Urban Metab, Xiamen 361021, Fujian, Peoples R China.
   Ruth, Matthias, Northeastern Univ, Sch Publ Policy \& Urban Affairs, Boston, MA 02115 USA.
   Ruth, Matthias, Northeastern Univ, Dept Civil \& Environm Engn, Boston, MA 02115 USA.}},
DOI = {{10.1016/j.resconrec.2018.01.028}},
ISSN = {{0921-3449}},
EISSN = {{1879-0658}},
Keywords = {{Material efficiency; Dematerialization; Resource efficiency; Decoupling;
   Intensity of use; Material flow accounting; Material flow analysis;
   Material footprint; Material cycle; In-use stock; Life cycle impact
   assessment}},
Keywords-Plus = {{MATERIAL FLOW-ANALYSIS; ENVIRONMENTAL KUZNETS CURVE; RAW-MATERIAL
   EQUIVALENTS; IN-USE STOCKS; INPUT-OUTPUT-ANALYSIS; VIRTUAL SCARCE WATER;
   INTERNATIONAL-TRADE; ECONOMIC-GROWTH; MATERIAL CONSUMPTION;
   EUROPEAN-UNION}},
Research-Areas = {{Engineering; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Engineering, Environmental; Environmental Sciences}},
Author-Email = {{chao\_zhang@tongji.edu.cn}},
ResearcherID-Numbers = {{CAS, KLUEH/T-5743-2019
   }},
ORCID-Numbers = {{Zhang, Chao/0000-0003-3686-4743}},
Funding-Acknowledgement = {{National Science Foundation of ChinaNational Natural Science Foundation
   of China {[}71503182]; CAS Pioneer Hundred Talents Program; Xiamen
   Double -Hundred Talents Program}},
Funding-Text = {{Chao Zhang is supported by National Science Foundation of China (Grant
   No. 71503182). Wei-Qiang Chen acknowledges financial support from the
   CAS Pioneer Hundred Talents Program and the Xiamen Double -Hundred
   Talents Program.}},
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Number-of-Cited-References = {{156}},
Times-Cited = {{19}},
Usage-Count-Last-180-days = {{10}},
Usage-Count-Since-2013 = {{65}},
Journal-ISO = {{Resour. Conserv. Recycl.}},
Doc-Delivery-Number = {{GB1RQ}},
Unique-ID = {{ISI:000428828300010}},
DA = {{2020-08-06}},
}

@article{ ISI:000428828300028,
Author = {Zhang, Jiangxue and Chang, Yuan and Wang, Changbo and Zhang, Lixiao},
Title = {{The green efficiency of industrial sectors in China: A comparative
   analysis based on sectoral and supply-chain quantifications}},
Journal = {{RESOURCES CONSERVATION AND RECYCLING}},
Year = {{2018}},
Volume = {{132}},
Pages = {{269-277}},
Month = {{MAY}},
Abstract = {{Industry is a main energy consumer and environmental polluter in modern
   society. The performance of China's industrial development should
   therefore be integratively measured in economic, environmental as well
   as energy and resource contexts. This study employs the directional
   slacks-based inefficiency model to calculate sectoral and supply-chain
   green efficiency (SGE and SCGE respectively) of 37 industry sectors in
   China. Energy and water consumption are selected as the model inputs.
   Output considerations include value-added (desirable output), and SO2,
   NOx, and CO2 emissions (undesirable outputs). Sectoral statistics data
   are used to calculate SGE while an input-output (1-0) analysis model,
   using China's 2012 economy benchmark data, is employed to quantify SCGE.
   Furthermore, the sectors that significantly contribute indirect energy
   consumption to China's industrial system are identified, and
   determinants of their SCGE are analyzed using the Tobit model. Results
   show that light industrial sectors present higher SGE but lower SCGE
   compared to that of heavy industrial sectors. Environmental regulation
   and independent innovation capacity promote industrial sectors' SCGE,
   while capital-labor ratio and foreign direct investment exert inhibiting
   effects. Based on model results, policy suggestions are presented to
   advance green industry transition in China. (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 = {{Chang, Y (Corresponding Author), Cent Univ Finance \& Econ, Sch Management Sci \& Engn, 39 Xue Yuan South Rd, Beijing 100081, Peoples R China.
   Zhang, Jiangxue, Beijing Normal Univ, Sch Econ \& Resource Management, Beijing 100875, Peoples R China.
   Chang, Yuan, Cent Univ Finance \& Econ, Sch Management Sci \& Engn, 39 Xue Yuan South Rd, Beijing 100081, Peoples R China.
   Wang, Changbo, Minist Agr, Nanjing Res Inst Agr Mechanizat, Nanjing 210014, Jiangsu, Peoples R China.
   Zhang, Lixiao, Beijing Normal Univ, Sch Environm, State Key Joint Lab Environm Simulat \& Pollut Con, Beijing 100875, Peoples R China.}},
DOI = {{10.1016/j.resconrec.2017.02.015}},
ISSN = {{0921-3449}},
EISSN = {{1879-0658}},
Keywords = {{industrial sectors; Green efficiency; Directional slacks-based
   inefficiency model; Input-output analysis; China}},
Keywords-Plus = {{DATA ENVELOPMENT ANALYSIS; FOREIGN DIRECT-INVESTMENT; SLACKS-BASED
   MEASURE; ECO-EFFICIENCY; PRODUCTIVITY GROWTH; UNDESIRABLE OUTPUTS;
   DIOXIDE EMISSIONS; ENERGY EFFICIENCY; POWER INDUSTRY; PAPER-INDUSTRY}},
Research-Areas = {{Engineering; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Engineering, Environmental; Environmental Sciences}},
Author-Email = {{yuan.chang@cufe.edu.cn}},
ORCID-Numbers = {{Chang, Yuan/0000-0002-9790-4529}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}71203013]; Fundamental Research Funds for the
   Central UniversitiesFundamental Research Funds for the Central
   Universities}},
Funding-Text = {{The work is supported by the National Natural Science Foundation of
   China ``The Evaluation of Industrial Eco-efficiency and Mechanism Design
   on the Green Transformation of Industry in China{''} (No.71203013) and
   the Fundamental Research Funds for the Central Universities.}},
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Number-of-Cited-References = {{68}},
Times-Cited = {{19}},
Usage-Count-Last-180-days = {{9}},
Usage-Count-Since-2013 = {{61}},
Journal-ISO = {{Resour. Conserv. Recycl.}},
Doc-Delivery-Number = {{GB1RQ}},
Unique-ID = {{ISI:000428828300028}},
DA = {{2020-08-06}},
}

@article{ ISI:000428828300034,
Author = {Zheng, Hongmei and Wang, Xinjing and Li, Mingjing and Zhang, Yan and
   Fan, Yachun},
Title = {{Interregional trade among regions of urban energy metabolism: A case
   study between Beijing-Tianjin-Hebei and others in China}},
Journal = {{RESOURCES CONSERVATION AND RECYCLING}},
Year = {{2018}},
Volume = {{132}},
Pages = {{339-351}},
Month = {{MAY}},
Abstract = {{Interregional trade of energy exchanges from urban metabolism
   perspective fills the gap of regional disparity due to economic
   development, physical geography, and lifestyle. The integrated
   development of Beijing-Tianjin-Hebei (Jing-Jin-Ji) urban agglomeration
   results in actors changes of the three provinces (or municipalities)
   between provider or receiver from 2002 to 2010, meanwhile, to treat them
   as Jing-Jin-Ji region, the energy transfer with other seven regions in
   China also changed. This research will analyze energy flows between
   Jing-Jin-Ji agglomeration and other regions in China from two
   perspectives: first, treat Beijing-Tianjin-Hebei as a whole, and to
   trace the energy processes among Jing-Jin-Ji region and other seven
   regions; second, see Beijing, Tianjin, and Hebei as three and to analyze
   the energy exchanges among them three and also the exchanges with other
   27 provinces. Each perspective includes the energy exchanges through
   direct, indirect, and integral processes from 2002, 2007, and 2010. The
   results show that the flow through multiple paths from the Northern
   region accounts for more than 25\% of total input throughflow from other
   seven regions, and the Eastern region receives the highest flow and
   takes a proportion more than 31\% of total output throughflow. The flow
   through multiple paths among Beijing, Tianjin, and Hebei has changed
   since 2007 due to the industrial restructuring in 2007. After comparing
   the path flow through one path and multiple paths at two levels, the
   regional analysis shows the directions of energy flows between
   Jing-Jin-Ji and other regions, furthermore, the provincial level
   reflects the details within the region.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Zhang, Y (Corresponding Author), Beijing Normal Univ, State Key Joint Lab Environm Simulat \& Pollut Con, Sch Environm, Xinjiekouwai St 19, Beijing 100875, Peoples R China.
   Zheng, Hongmei; Wang, Xinjing; Li, Mingjing; Zhang, Yan, Beijing Normal Univ, State Key Joint Lab Environm Simulat \& Pollut Con, Sch Environm, Xinjiekouwai St 19, Beijing 100875, Peoples R China.
   Fan, Yachun, Beijing Normal Univ, Coll Informat Sci \& Technol, Xinjiekouwai St 19, Beijing 100875, Peoples R China.}},
DOI = {{10.1016/j.resconrec.2017.05.010}},
ISSN = {{0921-3449}},
EISSN = {{1879-0658}},
Keywords = {{Urban ecology; Interregional trade; Ecological network analysis;
   Multi-regional input-output table; Jing-Jin-Ji urban agglomeration}},
Keywords-Plus = {{ECOLOGICAL NETWORK ANALYSIS; INPUT-OUTPUT-ANALYSIS; MODEL DEVELOPMENT;
   CARBON FOOTPRINT; DOMESTIC TRADE; WATER NEXUS; CONSUMPTION; PERSPECTIVE;
   SYSTEM; AGGLOMERATION}},
Research-Areas = {{Engineering; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Engineering, Environmental; Environmental Sciences}},
Author-Email = {{yzhang@bnu.edu.cn}},
Funding-Acknowledgement = {{National Key Research and Development Program of China
   {[}2016YFC0503005]; Fund for Innovative Research Group of the National
   Natural Science Foundation of ChinaNational Natural Science Foundation
   of China {[}51421065]; Funds for International Cooperation and Exchanges
   of the National Natural Science Foundation of ChinaNational Natural
   Science Foundation of China {[}51661125010]; Program for New Century
   Excellent Talents in UniversityProgram for New Century Excellent Talents
   in University (NCET) {[}NCET-12-0059]; National Natural Science
   Foundation of ChinaNational Natural Science Foundation of China
   {[}41571521]; Fundamental Research Funds for the Central
   UniversitiesFundamental Research Funds for the Central Universities
   {[}2015KJJCA09]}},
Funding-Text = {{This work was supported by the National Key Research and Development
   Program of China (No. 2016YFC0503005), by the Fund for Innovative
   Research Group of the National Natural Science Foundation of China (no.
   51421065), by Funds for International Cooperation and Exchanges of the
   National Natural Science Foundation of China (no. 51661125010), by the
   Program for New Century Excellent Talents in University (no.
   NCET-12-0059), by the National Natural Science Foundation of China (no.
   41571521), and by the Fundamental Research Funds for the Central
   Universities (no. 2015KJJCA09).}},
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Number-of-Cited-References = {{33}},
Times-Cited = {{16}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{62}},
Journal-ISO = {{Resour. Conserv. Recycl.}},
Doc-Delivery-Number = {{GB1RQ}},
Unique-ID = {{ISI:000428828300034}},
DA = {{2020-08-06}},
}

@article{ ISI:000428826300078,
Author = {Tan, Raymond R. and Aviso, Kathleen B. and Foo, Dominic C. Y.},
Title = {{Carbon emissions pinch analysis of economic systems}},
Journal = {{JOURNAL OF CLEANER PRODUCTION}},
Year = {{2018}},
Volume = {{182}},
Pages = {{863-871}},
Month = {{MAY 1}},
Abstract = {{Carbon Emissions Pinch Analysis is a variant of Pinch Analysis that was
   developed for macroscale carbon constrained energy planning problems. It
   uses carbon intensity as the measure of quality of energy streams to be
   allocated within a large-scale system. Since its inception, this method
   has been applied to various systems at different scales, utilized in
   different geographic contexts, and also extended to allow different
   sustainability metrics, such as land and water footprints, to be
   considered. In this paper, Carbon Emissions Pinch Analysis is further
   extended by combining it with Input-Output Analysis. This hybrid
   approach is capable of economy-wide analysis, where the segments of
   composite curves are comprised of the sectors in an economic system;
   flow quantities are measures in terms of economic value, while quality
   is indicated by carbon intensity. After first illustrating this approach
   to a small pedagogical case study, the methodology is then applied to a
   case study on the carbon-constrained economic growth of the Philippines.
   Prospects and limitations of the potential application of this
   methodology to other cases are also discussed. (C) 2018 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 = {{Tan, RR (Corresponding Author), De La Salle Univ, Chem Engn Dept, Taft Ave 0922, Manila 2401, Philippines.
   Tan, Raymond R.; Aviso, Kathleen B., De La Salle Univ, Chem Engn Dept, Taft Ave 0922, Manila 2401, Philippines.
   Foo, Dominic C. Y., Univ Nottingham Malaysia Campus, Dept Chem \& Environm Engn, Jalan Broga, Semenyih 43500, Selangor, Malaysia.}},
DOI = {{10.1016/j.jclepro.2018.02.082}},
ISSN = {{0959-6526}},
EISSN = {{1879-1786}},
Keywords = {{Process integration; Carbon emissions pinch analysis; Input-output
   analysis; Carbon footprint}},
Keywords-Plus = {{ELECTRICITY-GENERATION; NEW-ZEALAND; WASTE MANAGEMENT; CO2 EMISSIONS;
   ANALYSIS CEPA; ENERGY; SECTOR; FOOTPRINT; NETWORKS; INPUT}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{Raymond.Tan@dlsu.edu.ph
   Kathleen.Aviso@dlsu.edu.ph
   Dominic.Foo@nottingham.edu.my}},
ResearcherID-Numbers = {{Foo, Ir Dr Dominic C. Y./O-6335-2019}},
ORCID-Numbers = {{Foo, Ir Dr Dominic C. Y./0000-0002-8185-255X}},
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Number-of-Cited-References = {{56}},
Times-Cited = {{18}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{20}},
Journal-ISO = {{J. Clean Prod.}},
Doc-Delivery-Number = {{GB1QW}},
Unique-ID = {{ISI:000428826300078}},
DA = {{2020-08-06}},
}

@article{ ISI:000428008000037,
Author = {Oppon, Eunice and Acquaye, Adolf and Ibn-Mohammed, Taofeeq and Koh,
   Lenny},
Title = {{Modelling Multi-regional Ecological Exchanges: The Case of UK and Africa}},
Journal = {{ECOLOGICAL ECONOMICS}},
Year = {{2018}},
Volume = {{147}},
Pages = {{422-435}},
Month = {{MAY}},
Abstract = {{As environmental impacts continue to rise, the need to identify and
   quantify the underlying causes of these impacts has prompted important
   research questions. This is heightened by the fact that the production
   of goods and services is becoming increasingly global with countries
   relying on each other through trade. As such, it is important to have a
   mechanism in place to understand the environmental burden shifts from
   one country to another. To this end, this paper exploits a paradox in
   global environmental analysis, which stems from a false decoupling
   between economic and production systems as observed in most developed
   nations, which results in improved territorial emissions of these
   developed countries at the expense of developing countries.
   Ecological unequal exchange is one such contemporary ecological economic
   concept that is used to highlight such asymmetric transfer of embodied
   natural resources and biophysical indicators between countries. Attempts
   at environmental impacts reduction efforts has largely focused on carbon
   emissions but given the complex supply chain created through
   globalisation and international trade, it is important to consider other
   important metrics such as land and water use alongside carbon emissions
   to drive environmental policies that will holistically address
   ecologically unequal exchanges. For developing countries in Africa where
   the dependence on land use and water use for agricultural activities are
   crucial to the development of national economies and in combating
   poverty, an assessment of these metrics has become even more paramount.
   Against this backdrop, the current work draws upon the theoretical
   constructs of multi-regional input-output (MRIO) framework to trace
   country specific sectorial-level flows of the aforementioned metrics
   between a representative developed nation, UK, and 27 African regions in
   order to fully examine their ecological exchanges. Key findings in the
   study suggest that for water consumption and land use, there is a net
   externalisation of these impacts for all the 27 African regions by the
   UK. It was also determined that the extent of the imbalance between the
   UK and the African region is exceedingly far greater for water
   consumption. It is recommended that in formulating a robust
   multi-national environmental policy where so many factors are at play,
   country specific and industry targeted approach to ecological unequal
   exchange between nations provides better and improved insight into
   addressing ensuing environmental issues.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Oppon, E (Corresponding Author), Univ Sheffield, Ctr Energy Environm \& Sustainabil, Sheffield S10 1FL, S Yorkshire, England.
   Oppon, Eunice; Ibn-Mohammed, Taofeeq; Koh, Lenny, Univ Sheffield, Ctr Energy Environm \& Sustainabil, Sheffield S10 1FL, S Yorkshire, England.
   Oppon, Eunice; Ibn-Mohammed, Taofeeq; Koh, Lenny, Univ Sheffield, Adv Resource Efficiency Ctr, Sheffield S10 1FL, S Yorkshire, England.
   Acquaye, Adolf, Univ Kent, Kent Business Sch, Canterbury CT2 7PE, Kent, England.}},
DOI = {{10.1016/j.ecolecon.2018.01.030}},
ISSN = {{0921-8009}},
EISSN = {{1873-6106}},
Keywords = {{Ecological unequal exchange; Multi-regional input-output; United
   Kingdom; Africa; Carbon; Water and land use; Environmental policies}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; INTERNATIONAL-TRADE; UNEQUAL EXCHANGE;
   ENVIRONMENTAL IMPACTS; EMBODIED EMISSIONS; WATER FOOTPRINT; CONSUMPTION;
   CARBON; CHINA; LAND}},
Research-Areas = {{Environmental Sciences \& Ecology; Business \& Economics}},
Web-of-Science-Categories  = {{Ecology; Economics; Environmental Sciences; Environmental Studies}},
Author-Email = {{epoppon1@sheffield.ac.uk}},
ORCID-Numbers = {{Oppon, Eunice Pokuaa/0000-0002-5959-3221
   Acquaye, Adolf/0000-0003-0430-2498}},
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Number-of-Cited-References = {{71}},
Times-Cited = {{9}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{37}},
Journal-ISO = {{Ecol. Econ.}},
Doc-Delivery-Number = {{GA0MO}},
Unique-ID = {{ISI:000428008000037}},
OA = {{Green Accepted}},
DA = {{2020-08-06}},
}

@article{ ISI:000435745500033,
Author = {Dobrynin, Mikhail and Domeisen, Daniela I. V. and Mueller, Wolfgang A.
   and Bell, Louisa and Brune, Sebastian and Bunzel, Felix and Duesterhus,
   Andre and Froehlich, Kristina and Pohlmann, Holger and Baehr, Johanna},
Title = {{Improved Teleconnection-Based Dynamical Seasonal Predictions of Boreal
   Winter}},
Journal = {{GEOPHYSICAL RESEARCH LETTERS}},
Year = {{2018}},
Volume = {{45}},
Number = {{8}},
Pages = {{3605-3614}},
Month = {{APR 28}},
Abstract = {{Climate and weather variability in the North Atlantic region is
   determined largely by the North Atlantic Oscillation (NAO). The
   potential for skillful seasonal forecasts of the winter NAO using an
   ensemble-based dynamical prediction system has only recently been
   demonstrated. Here we show that the winter predictability can be
   significantly improved by refining a dynamical ensemble through
   subsampling. We enhance prediction skill of surface temperature,
   precipitation, and sea level pressure over essential parts of the
   Northern Hemisphere by retaining only the ensemble members whose NAO
   state is close to a ``first guess{''} NAO prediction based on a
   statistical analysis of the initial autumn state of the ocean, sea ice,
   land, and stratosphere. The correlation coefficient between the
   reforecasted and observation-based winter NAO is significantly increased
   from 0.49 to 0.83 over a reforecast period from 1982 to 2016, and from
   0.42 to 0.86 for a forecast period from 2001 to 2017. Our novel approach
   represents a successful and robust alternative to further increasing the
   ensemble size, and potentially can be used in operational seasonal
   prediction systems.
   Plain Language Summary Predicting Northern Hemisphere winter conditions,
   which are controlled largely by fluctuations in the pressure filed over
   the North Atlantic (North Atlantic Oscillation, NAO), for the next
   season is a major challenge. Most state-of-the-art seasonal prediction
   systems show a correlation between observed and predicted NAOs of less
   than 0.30. Our novel approach uses dynamical links (teleconnections)
   between the autumn state of sea surface temperature in the North
   Atlantic, Arctic sea ice, snow in Eurasia, and stratosphere temperature
   over the Northern Hemisphere as predictors of the NAO in the subsequent
   winter to subsample a dynamical reforecast ensemble. We select only the
   ensemble members that consistently reproduce winter NAO states that
   evolve in accordance with the autumn state of these predictors. As a
   result the winter NAO prediction skill increases to a correlation value
   of 0.83. Considering these well established NAO teleconnections in our
   Earth system model leads to an improved prediction skill of European
   winter conditions, that is, surface temperature, precipitation, and sea
   level pressure. Our results advance seasonal prediction of European
   weather to a level that is usually limited to tropical regions and are
   relevant for a variety of societal sectors, such as global and national
   economies and energy and water resources.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Dobrynin, M (Corresponding Author), Univ Hamburg, Ctr Earth Syst Res \& Sustainabil CEN, Inst Oceanog, Hamburg, Germany.
   Dobrynin, Mikhail; Brune, Sebastian; Duesterhus, Andre; Baehr, Johanna, Univ Hamburg, Ctr Earth Syst Res \& Sustainabil CEN, Inst Oceanog, Hamburg, Germany.
   Domeisen, Daniela I. V., Swiss Fed Inst Technol, Inst Atmospher \& Climate Sci, Zurich, Switzerland.
   Mueller, Wolfgang A.; Bell, Louisa; Bunzel, Felix; Pohlmann, Holger, Max Planck Inst Meteorol, Hamburg, Germany.
   Froehlich, Kristina, Deutscher Wetterdienst DWD, Offenbach, Germany.}},
DOI = {{10.1002/2018GL077209}},
ISSN = {{0094-8276}},
EISSN = {{1944-8007}},
Keywords-Plus = {{NORTH-ATLANTIC OSCILLATION; SURFACE TEMPERATURE; SEA-ICE; EUROPEAN
   CLIMATE; SST ANOMALIES; NAO; 20TH-CENTURY; VARIABILITY; FORECASTS;
   IMPACT}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary}},
Author-Email = {{mikhail.dobrynin@uni-hamburg.de}},
ResearcherID-Numbers = {{Domeisen, Daniela/J-2589-2015
   }},
ORCID-Numbers = {{Domeisen, Daniela/0000-0002-1463-929X
   Dobrynin, Mikhail/0000-0003-3533-3529
   Dusterhus, Andre/0000-0003-2192-175X
   Bunzel, Felix/0000-0002-2401-6176}},
Funding-Acknowledgement = {{Copernicus Climate Change Service {[}C3S 433 DWD]; European Union
   Seventh Framework Programme (FP7) under the SPECS project {[}308378];
   Universitat Hamburg's Cluster of Excellence Integrated Climate System
   Analysis and Prediction (CliSAP); Federal Ministry of Education and
   Research in Germany (BMBF) through the research program MiKlip {[}FKZ
   01LP1519A]; Swiss National Science FoundationSwiss National Science
   Foundation (SNSF) {[}PP00P2\_170523]}},
Funding-Text = {{The authors would like to thank Jochem Marotzke for valuable comments on
   the manuscript, and both Jochem Marotzke and Valerio Lucarini for
   valuable scientific discussions. This work was funded by the Copernicus
   Climate Change Service (contract number C3S 433 DWD), the European Union
   Seventh Framework Programme (FP7/2007-2013) under the SPECS project
   (grant agreement 308378), Universitat Hamburg's Cluster of Excellence
   Integrated Climate System Analysis and Prediction (CliSAP), and the
   Federal Ministry of Education and Research in Germany (BMBF) through the
   research program MiKlip (FKZ 01LP1519A). D.D. was partially funded by
   the Swiss National Science Foundation through grant PP00P2\_170523.
   Model simulations were performed using the high-performance computer at
   the German Climate Computing Center (DKRZ). All data are stored at the
   DKRZ in archive and can be made accessible upon request
   (https://www.dkrz.de/up).}},
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Number-of-Cited-References = {{48}},
Times-Cited = {{15}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{6}},
Journal-ISO = {{Geophys. Res. Lett.}},
Doc-Delivery-Number = {{GJ9SQ}},
Unique-ID = {{ISI:000435745500033}},
OA = {{Green Published, Green Accepted, Other Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000433071200002,
Author = {Yang, Xiaoxin and Yao, Tandong and Deji and Zhao, Huabiao and Xu,
   Baiqing},
Title = {{Possible ENSO Influences on the Northwestern Tibetan Plateau Revealed by
   Annually Resolved Ice Core Records}},
Journal = {{JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES}},
Year = {{2018}},
Volume = {{123}},
Number = {{8}},
Pages = {{3857-3870}},
Month = {{APR 27}},
Abstract = {{Two annually resolved ice core records, one drilled on Mutztagata
   (7,000m above sea level) on the western slope (dated 1952-2002) and the
   other drilled on Kuokuosele (5,600m above sea level) on the southwestern
   slope (dated 1900-2010) of the Pamir Plateau of the northwestern Tibetan
   Plateau (TP), were selected to study possible El Nino-Southern
   Oscillation (ENSO) influences on the northwestern TP. O-18 at KKSL was
   more enriched, though both records varied in phase. Eight of the 10
   noticeably strong El Nino events since 1955 corresponded to O-18
   depletions in both ice core records, which were followed by O-18
   enrichment. Atmospheric circulation indices, including water vapor flux
   and divergence, had a coincidence of a positive Indian Ocean Dipole mode
   with El Nino events, which contributed to the northward transport of
   southerly flows from the western Indian Ocean; its convergence with
   midlatitude wind flows at high levels depleted O-18 levels. The
   meridional shift in the Asian-Pacific subtropical high induced by latent
   heat release due to precipitation in the northwestern Pacific was found
   to play an important role in initiating convergence. A statistical
   analysis confirmed the significant correlations in O-18 with the ENSO
   index and tropical and subtropical summer monsoon circulations. We noted
   that the dominant circulation pattern over the northwestern TP was
   characterized by a midlatitude flow regime that had a teleconnection
   with tropical sea surface temperatures. Therefore, ENSO is one of a
   variety of influences on ice core O-18 on the TP.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Yang, XX (Corresponding Author), Chinese Acad Sci, Inst Tibetan Plateau Res, CAS Key Lab Tibetan Environm Changes \& Land Surf, Beijing, Peoples R China.
   Yang, XX (Corresponding Author), CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China.
   Yang, Xiaoxin; Yao, Tandong; Deji; Zhao, Huabiao; Xu, Baiqing, Chinese Acad Sci, Inst Tibetan Plateau Res, CAS Key Lab Tibetan Environm Changes \& Land Surf, Beijing, Peoples R China.
   Yang, Xiaoxin; Yao, Tandong; Xu, Baiqing, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China.
   Deji, Univ Chinese Acad Sci, Coll Resources \& Environm, Beijing, Peoples R China.}},
DOI = {{10.1002/2017JD027755}},
ISSN = {{2169-897X}},
EISSN = {{2169-8996}},
Keywords = {{ice core O-18; northwestern Tibetan Plateau; ENSO; tropical oceans;
   teleconnection}},
Keywords-Plus = {{INDIAN-SUMMER MONSOON; OBJECTIVE DEFINITION; ISOTOPE COMPOSITION;
   AIR-TEMPERATURE; ASIAN MONSOON; PRECIPITATION; VARIABILITY; SEA;
   PERSPECTIVE; DELTA-O-18}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{xxy@itpcas.ac.cn}},
ORCID-Numbers = {{yang, xiao xin/0000-0003-0031-4336}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}41571074, 41771085]; Strategic Priority Research
   Program of Chinese Academy of SciencesChinese Academy of Sciences
   {[}XDA20100300]; Chinese Academy of SciencesChinese Academy of Sciences
   {[}QYZDY-SSW-DQC003]; ``International Partnership Program{''} of Chinese
   Academy of Sciences {[}131C11KYSB20160061]}},
Funding-Text = {{The monthly, as well as long-term mean of, climate variables used in
   this article, including zonal, meridional, and vertical wind
   circulations, geopotential heights, Global Precipitation Climatology
   Center (GPCC) precipitation and specific heat release, are from the
   Earth System Research Laboratory, which are available at
   http://www.esrl.noaa.gov.psd/data/gridded/. The vertical integrals of
   meridional and zonal water vapor flux and divergence were from the
   European Centre for Medium RangeWeather Forecasts website at
   http://apps.ecmwf.int/dataset. The monthly sea surface temperature data
   were from the Hadley Centre Sea Ice and Sea Surface Temperature data set
   (HadISST). Isotopic data of the KKSL ice core will be deposited in the
   National Climatic Data Center (NCDC). We thank Guangjian Wu for his
   field support and Dongmei Qu for her guidance in lab analyses. This work
   was supported by the general programs of the National Natural Science
   Foundation of China (grants 41571074 and 41771085), the Strategic
   Priority Research Program of Chinese Academy of Sciences (grant
   XDA20100300), Chinese Academy of Sciences' Key Research Programs in
   Frontier Sciences ({''}Fate and Environmental Impacts of Maritime and
   Continental Glaciers on the Tibetan Plateau,{''} grant
   QYZDY-SSW-DQC003), and ``International Partnership Program{''} of
   Chinese Academy of Sciences (grant 131C11KYSB20160061).}},
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