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Number-of-Cited-References = {{41}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Journal-ISO = {{J. Clim.}},
Doc-Delivery-Number = {{GN0XP}},
Unique-ID = {{ISI:000438704200003}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000437384700019,
Author = {Liu, Shiyuan and Wang, Can and Shi, Lei and Cai, Wenjia and Zhang,
   Lixiao},
Title = {{Water conservation implications for decarbonizing non-electric energy
   supply: A hybrid life-cycle analysis}},
Journal = {{JOURNAL OF ENVIRONMENTAL MANAGEMENT}},
Year = {{2018}},
Volume = {{219}},
Pages = {{208-217}},
Month = {{AUG 1}},
Abstract = {{Low-carbon transition in the non-electric energy sector, which includes
   transport and heating energy, is necessary for achieving the 2 degrees C
   target. Meanwhile, as non-electric energy accounts for over 60\% of
   total water consumption in the energy supply sector, it is vital to
   understand future water trends in the context of decarbonization.
   However, few studies have focused on life-cycle water impacts for
   non-electric energy; besides, applying conventional LCA methodology to
   assess non-electric energy has limitations. In this paper, a
   MultiRegional Hybrid Life-Cycle Assessment (MRHLCA) model is built to
   assess total CO2 emissions and water consumption of 6 non-electric
   energy technologies - transport energy from biofuel and gasoline, heat
   supply from natural gas, biogas, coal, and residual biomass, within 7
   major emitting economies. We find that a shift to natural gas and
   residual biomass heating can help economies reduce 14-65\% CO2 and save
   more than 21\% water. However, developed and developing economies should
   take differentiated technical strategies. Then we apply scenarios from
   IMAGE model to demonstrate that if economies take cost-effective 2
   degrees C pathways, the water conservation synergy for the whole energy
   supply sector, including electricity, can also be achieved.}},
Publisher = {{ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD}},
Address = {{24-28 OVAL RD, LONDON NW1 7DX, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Wang, C (Corresponding Author), Tsinghua Univ, Sch Environm, Beijing 100084, Peoples R China.
   Liu, Shiyuan; Wang, Can; Shi, Lei, Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat \& Pollut Con, Beijing 100084, Peoples R China.
   Liu, Shiyuan; Wang, Can; Cai, Wenjia, Tsinghua Univ, Minist Educ, Key Lab Earth Syst Modelling, Dept Earth Syst Sci, Beijing 100084, 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.jenvman.2018.04.119}},
ISSN = {{0301-4797}},
EISSN = {{1095-8630}},
Keywords = {{Water-energy nexus; Transport energy; Heating energy; Hybrid LCA}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; ECOINVENT DATABASE; CLIMATE-CHANGE; EMBODIED
   ENERGY; VIRTUAL WATER; POWER SECTOR; CHINA; CARBON; SCENARIOS; IMPACTS}},
Research-Areas = {{Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Environmental Sciences}},
Author-Email = {{canwang@tsinghua.edu.cn}},
Funding-Acknowledgement = {{National Key Research and Development Program of China project
   {[}2017YFA0603602]; special fund of State Key Joint Laboratory of
   Environment Simulation and Pollution Control {[}17L02ESPC]}},
Funding-Text = {{This study was financially supported by National Key Research and
   Development Program of China project (No. 2017YFA0603602) and the
   special fund of State Key Joint Laboratory of Environment Simulation and
   Pollution Control (No. 17L02ESPC). We also thank the anonymous reviewers
   for helpful comments.}},
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   2014, CLIM CHANG 2014 MIT, P1.}},
Number-of-Cited-References = {{66}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{42}},
Journal-ISO = {{J. Environ. Manage.}},
Doc-Delivery-Number = {{GL7MA}},
Unique-ID = {{ISI:000437384700019}},
DA = {{2020-08-06}},
}

@article{ ISI:000436382700004,
Author = {Lee, Jai Hong and Lee, Joon-hak and Julien, Pierre Y.},
Title = {{Global climate teleconnection with rainfall erosivity in South Korea}},
Journal = {{CATENA}},
Year = {{2018}},
Volume = {{167}},
Pages = {{28-43}},
Month = {{AUG}},
Abstract = {{Rainfall Erosivity Index (REI) defined as the product of rainfall
   kinetic energy and rainfall intensity is a well-known hydrologic
   indicator of the potential risk of soil erosion. Global and regional
   scale climatic teleconnections with REI variability over South Korea are
   examined. We calculate leading patterns of observed monthly REIs using
   the Empirical Orthogonal Teleconnection (EOT) and Function (EOF)
   decomposition techniques. Also we used monthly statistical analyses
   using cross-correlation and lag regression for the leading modes and
   global atmospheric circulation measurement in the Pacific and Indian
   Ocean. As a result, the northern inland mode is applicable during summer
   season and the southern coastal mode applies to fall-winter season. The
   temporal evolution of REI exhibits mostly increasing and depends on
   interdecadal oscillation patterns. The leading EOT modes explain more
   variance in REI than the EOF modes during warm and cold seasons. The
   findings from this study illustrate that the tropical ENSO forcing has
   the coherent association with fall and winter REI patterns, and the
   Indian Ocean dipole is identified as a driver for REI variability in
   November. The monsoon circulations over western North Pacific also
   exhibit significant negative correlation with the December modes. The
   September leading modes also show a positive correlation with the
   tropical cyclone activity. Leading patterns in September and November
   have predictability up to five month lead time from the tropical Pacific
   Sea Surface Temperatures (SSTs). In addition, predictability from the
   Pacific SSTs for above normal extreme value of REI is greater than that
   for below normal value in winter. In conclusion, South Korea experiences
   climatic teleconnection between the large scale climate indices and
   mid-latitude hydrologic variables.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Lee, JH (Corresponding Author), Colorado State Univ, Dept Civil \& Environm Engn, Ft Collins, CO 80523 USA.
   Lee, Jai Hong; Julien, Pierre Y., Colorado State Univ, Dept Civil \& Environm Engn, Ft Collins, CO 80523 USA.
   Lee, Joon-hak, Korea Mil Acad, Dept Civil \& Environm Engn, Seoul 01805, South Korea.}},
DOI = {{10.1016/j.catena.2018.03.008}},
ISSN = {{0341-8162}},
EISSN = {{1872-6887}},
Keywords = {{Rainfall erosivity; Soil erosion; Teleconnection; El Nino-Southern
   Oscillation}},
Keywords-Plus = {{INDIAN-OCEAN DIPOLE; SOIL-EROSION; EL-NINO; PRECIPITATION PATTERNS;
   MONSOON RAINFALL; UNITED-STATES; LAND-USE; OSCILLATION; ENSO; PACIFIC}},
Research-Areas = {{Geology; Agriculture; Water Resources}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary; Soil Science; Water Resources}},
Author-Email = {{june.lee@colostate.edu}},
ORCID-Numbers = {{Lee, Joon-hak/0000-0002-8628-4635}},
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Number-of-Cited-References = {{55}},
Times-Cited = {{4}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{9}},
Journal-ISO = {{Catena}},
Doc-Delivery-Number = {{GK7KI}},
Unique-ID = {{ISI:000436382700004}},
DA = {{2020-08-06}},
}

@article{ ISI:000435058200031,
Author = {Liu, Lingna and Lei, Yalin and Ge, Jianping and Yang, Kejia},
Title = {{Sector screening and driving factor analysis of Beijing's ecological
   footprint using a multi-model method}},
Journal = {{JOURNAL OF CLEANER PRODUCTION}},
Year = {{2018}},
Volume = {{191}},
Pages = {{330-338}},
Month = {{AUG 1}},
Abstract = {{An ecological footprint (EF) is a vital indicator to measure the
   sustainable development of a region. Analysis of the driving factors of
   EFs can facilitate the sustainable development of the population,
   resources and environment. As the capital city of China, Beijing has a
   unique municipal economic structure and faces greater urban ecosystem
   challenges than other cities. This paper used an input-output model to
   calculate an EF on the basis of the original decomposition analysis
   model. We consider the population effect, the economic effect, the
   industrial structure effect, and the footprint intensity to explore the
   factors driving the changes in the EF of 39 sectors in Beijing. In
   addition, 9 screened sectors with more significant effects on the change
   in the EF were analyzed. The results indicated that (1) among the 39
   sectors, the crucial factors that drive EF growth are the economic
   effect, the population effect, and footprint intensity, with
   contribution rates to total EF of 59.4\%, 31.0\%, and 7.7\%,
   respectively, while the effect of the industrial structure tends to be
   0; and (2) among the 9 screened industries, the population effect and
   the economic effect promote the growth of the EF of 9 sectors. The
   reduction in the EF of the primary industry sector is due to the impact
   of industrial structure effect and footprint intensity. The four effects
   all promote an increase of the EF of the transportation, warehousing and
   postal services. These results can be used to propose suggestions for
   the future development of sectors in Beijing. (C) 2018 Published by
   Elsevier Ltd.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Lei, YL (Corresponding Author), China Univ Geosci, Sch Humanities \& Econ Management, Beijing, Peoples R China.
   Liu, Lingna; Lei, Yalin; Ge, Jianping; Yang, Kejia, China Univ Geosci, Sch Humanities \& Econ Management, Beijing, Peoples R China.
   Liu, Lingna; Lei, Yalin; Ge, Jianping; Yang, Kejia, Minist Land \& Resources, Key Lab Carrying Capac Assessment Resource \& Envi, Beijing, Peoples R China.}},
DOI = {{10.1016/j.jclepro.2018.04.132}},
ISSN = {{0959-6526}},
EISSN = {{1879-1786}},
Keywords = {{Ecological footprint (EF); Input-output model; Industry; Population;
   Beijing}},
Keywords-Plus = {{INDEX DECOMPOSITION ANALYSIS; INPUT-OUTPUT-ANALYSIS; ENERGY-CONSUMPTION;
   CO2 EMISSIONS; WATER FOOTPRINT; TIME-SERIES; CHINA; MODEL; LAND;
   INTENSITY}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{leiyalin@cugb.edu.cn}},
Funding-Acknowledgement = {{National Science and Technology Major Project {[}2016ZX05016005-003];
   Fundamental Research Funds for the Central UniversitiesFundamental
   Research Funds for the Central Universities {[}2652017025]}},
Funding-Text = {{The authors are grateful for financial support from National Science and
   Technology Major Project under Grant No. 2016ZX05016005-003 and
   Fundamental Research Funds for the Central Universities under Grant No.
   2652017025.}},
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Number-of-Cited-References = {{70}},
Times-Cited = {{5}},
Usage-Count-Last-180-days = {{6}},
Usage-Count-Since-2013 = {{31}},
Journal-ISO = {{J. Clean Prod.}},
Doc-Delivery-Number = {{GJ1WI}},
Unique-ID = {{ISI:000435058200031}},
DA = {{2020-08-06}},
}

@article{ ISI:000434702100013,
Author = {Stephan, Claudia Christine and Ng, Yan Ho and Klingaman, Nicholas P.},
Title = {{On Northern HemisphereWave Patterns Associated with Winter Rainfall
   Events in China}},
Journal = {{ADVANCES IN ATMOSPHERIC SCIENCES}},
Year = {{2018}},
Volume = {{35}},
Number = {{8, SI}},
Pages = {{1021-1034}},
Month = {{AUG}},
Abstract = {{During extended winter (November-April), 43\% of the intraseasonal
   rainfall variability in China is explained by three spatial patterns of
   temporally coherent rainfall. These patterns were identified with
   empirical orthogonal teleconnection (EOT) analysis of observed 1982-2007
   pentad rainfall anomalies and connected to midlatitude disturbances.
   However, examination of individual strong EOT events shows that there is
   substantial inter-event variability in their dynamical evolution, which
   implies that precursor patterns found in regressions cannot serve as
   useful predictors. To understand the physical nature and origins of the
   extratropical precursors, the EOT technique is applied to six
   simulations of the Met Office Unified Model at horizontal resolutions of
   200-40 km, with and without air-sea coupling. All simulations reproduce
   the observed precursor patterns in regressions, indicating robust
   underlying dynamical processes. Further investigation into the dynamics
   associated with observed patterns shows that Rossby wave dynamics can
   explain the large inter-event variability. The results suggest that the
   apparently slowly evolving or quasi-stationary waves in regression
   analysis are a statistical amalgamation of more rapidly propagating
   waves with a variety of origins and properties.}},
Publisher = {{SCIENCE PRESS}},
Address = {{16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Stephan, CC (Corresponding Author), Univ Reading, Dept Meteorol, Natl Ctr Atmospher Sci Climate, Reading RG6 6BB, Berks, England.
   Stephan, Claudia Christine; Klingaman, Nicholas P., Univ Reading, Dept Meteorol, Natl Ctr Atmospher Sci Climate, Reading RG6 6BB, Berks, England.
   Ng, Yan Ho, Univ Reading, Dept Meteorol, Reading RG6 6BB, Berks, England.}},
DOI = {{10.1007/s00376-018-7267-7}},
ISSN = {{0256-1530}},
EISSN = {{1861-9533}},
Keywords = {{rainfall in China; spring flooding; Rossby wave dynamics; EOT analysis;
   predictability; teleconnections}},
Keywords-Plus = {{COLD SURGE; EAST-ASIA; ATMOSPHERE; PRECIPITATION; CONFIGURATION;
   VARIABILITY; WAVES}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{c.c.stephan@reading.ac.uk}},
ResearcherID-Numbers = {{Klingaman, Nicholas P/H-4610-2012
   Stephan, Claudia Christine/AAL-4455-2020}},
ORCID-Numbers = {{Klingaman, Nicholas P/0000-0002-2927-9303
   }},
Funding-Acknowledgement = {{UK-China Research \& Innovation Partnership Fund through the Met Office
   Climate Science for Service Partnership (CSSP) China, Newton Fund;
   Independent Research Fellowship from the UK Natural Environment Research
   Council {[}NE/L010976/1]}},
Funding-Text = {{Claudia C. STEPHAN was supported by the UK-China Research \& Innovation
   Partnership Fund through the Met Office Climate Science for Service
   Partnership (CSSP) China, as part of the Newton Fund. Nicholas P.
   KLINGAMAN was supported by an Independent Research Fellowship from the
   UK Natural Environment Research Council (NE/L010976/1). APHRODITE data
   are available from http://www.chikyu.ac.jp/precip/. The RWS function was
   computed using code from the python package wind-spharm v1.5.0,
   available at http://ajdawson.github.io/windspharm. We thank Matthias
   ROTHLISBERGER for providing the Rossby wave initialization segment data
   and helpful discussions.}},
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Number-of-Cited-References = {{30}},
Times-Cited = {{6}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{Adv. Atmos. Sci.}},
Doc-Delivery-Number = {{GI7SI}},
Unique-ID = {{ISI:000434702100013}},
OA = {{Green Accepted}},
DA = {{2020-08-06}},
}

@article{ ISI:000434702100017,
Author = {Duan, Yawen and Wu, Peili and Chen, Xiaolong and Ma, Zhuguo},
Title = {{Assessing Global Warming Induced Changes in Summer Rainfall Variability
   over Eastern China Using the Latest Hadley Centre Climate Model
   HadGEM3-GC2}},
Journal = {{ADVANCES IN ATMOSPHERIC SCIENCES}},
Year = {{2018}},
Volume = {{35}},
Number = {{8, SI}},
Pages = {{1077-1093}},
Month = {{AUG}},
Abstract = {{Summer precipitation anomalies over eastern China are characterized
   spatially by meridionally banded structures fluctuating on interannual
   and interdecadal timescales, leading to regional droughts and floods. In
   addition to long-term trends, how these patterns may change under global
   warming has important implications for agricultural planning and water
   resources over this densely populated area. Using the latest Hadley
   Centre climate model, HadGEM3-GC2, this paper investigates the potential
   response of summer precipitation patterns over this region, by comparing
   the leading modes between a 4xCO(2) simulation and the model's
   pre-industrial control simulation. Empirical Orthogonal Function (EOF)
   analyses show that the first two leading modes account for about 20\% of
   summer rainfall variability. EOF1 is a monopole mode associated with the
   developing phase of ENSO events and EOF2 is a dipole mode associated
   with the decaying phase of ENSO. Under 4xCO(2) forcing, the dipole mode
   with a south-north orientation becomes dominant because of a
   strengthened influence from excessive warming of the Indian Ocean. On
   interdecadal time scales, the first EOF looks very different from the
   control simulation, showing a dipole mode of east-west contrast with
   enhanced influence from high latitudes.}},
Publisher = {{SCIENCE PRESS}},
Address = {{16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Wu, PL (Corresponding Author), Met Off Hadley Ctr, Exeter EX1 3PB, Devon, England.
   Duan, Yawen; Ma, Zhuguo, Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm Res Temperate East A, Beijing 100029, Peoples R China.
   Duan, Yawen; Ma, Zhuguo, Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   Wu, Peili, Met Off Hadley Ctr, Exeter EX1 3PB, Devon, England.
   Chen, Xiaolong, Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci \& Geop, Beijing 100029, Peoples R China.}},
DOI = {{10.1007/s00376-018-7264-x}},
ISSN = {{0256-1530}},
EISSN = {{1861-9533}},
Keywords = {{rainfall variability; global warming; ENSO; HadGEM3-GC2}},
Keywords-Plus = {{NORTHERN-HEMISPHERE SUMMER; ASIAN SUMMER; WESTERN PACIFIC; CIRCUMGLOBAL
   TELECONNECTION; INTERDECADAL VARIABILITY; TROPICAL CIRCULATION; OCEAN
   CAPACITOR; INDIAN MONSOON; EL-NINO; PATTERNS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{peili.wu@metoffice.gov.uk}},
ResearcherID-Numbers = {{Chen, Xiaolong/AAO-7147-2020}},
Funding-Acknowledgement = {{National Key R\&D Program of China {[}2016YFA0600404]; National Natural
   Science Foundation of ChinaNational Natural Science Foundation of China
   {[}41530532, 41605057]; China Special Fund for Meteorological Research
   in the Public Interest {[}GYHY201506001-1]; Jiangsu Collaborative
   Innovation Center for Climate Change; UK-China Research \& Innovation
   Partnership Fund through the Met Office Climate Science for Service
   Partnership (CSSP) China, Newton Fund}},
Funding-Text = {{We thank two anonymous reviewers for their constructive comments and
   suggestions. This study was jointly sponsored by the National Key R\&D
   Program of China (Grant No. 2016YFA0600404), the National Natural
   Science Foundation of China (Grant Nos. 41530532 and 41605057), the
   China Special Fund for Meteorological Research in the Public Interest
   (Grant No. GYHY201506001-1), the Jiangsu Collaborative Innovation Center
   for Climate Change, and the UK-China Research \& Innovation Partnership
   Fund through the Met Office Climate Science for Service Partnership
   (CSSP) China as part of the Newton Fund.}},
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Number-of-Cited-References = {{64}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{4}},
Usage-Count-Since-2013 = {{25}},
Journal-ISO = {{Adv. Atmos. Sci.}},
Doc-Delivery-Number = {{GI7SI}},
Unique-ID = {{ISI:000434702100017}},
DA = {{2020-08-06}},
}

@article{ ISI:000433650500019,
Author = {Ioannidis, E. and Lolis, C. J. and Papadimas, C. D. and
   Hatzianastassiou, N. and Bartzokas, A.},
Title = {{On the intra-annual variation of cloudiness over the Mediterranean
   region}},
Journal = {{ATMOSPHERIC RESEARCH}},
Year = {{2018}},
Volume = {{208}},
Number = {{SI}},
Pages = {{246-256}},
Month = {{AUG 1}},
Note = {{13th International Conference on Meteorology, Climatology and
   Atmospheric Physics (COMECAP), Aristotle Univ Res Disseminat Ctr,
   Thessaloniki, GREECE, SEP 19-21, 2016}},
Organization = {{Aristotle Univ Thessaloniki, Sch Phys, Lab Atmospher Phys; Aristotle
   Univ Thessaloniki, Sch Geol, Dept Meteorol \& Climatol; Hellen Meteorol
   Soc; Mariolopoulos Kanaginis Fdn Environm Sci}},
Abstract = {{The seasonal variability of cloudiness in the Mediterranean region is
   studied, through the examination of the mean day-to-day intra-annual
   variation of gridded NCEP/NCAR total cloud cover for the period
   1948-2014. A dimensionality reduction process is followed by using a
   multivariate statistical methodology and three main modes of seasonal
   variation are found. The first mode is characterized by a winter maximum
   and a summer minimum and prevails mainly over the Mediterranean and
   Black Sea areas; a weak see-saw teleconnection over the Alps represents
   the opposite intra-annual variation. The second mode presents maxima in
   early autumn and late spring and minima in late summer and winter and
   prevails over the SW Europe and NW Africa inland regions. The third mode
   shows a maximum in June and a minimum in October and prevails over the
   eastern part of central Europe. The main characteristics of these modes
   are attributed to the seasonal variation of: i) the temperature and
   humidity of the lower and the middle troposphere affecting static
   stability and ii) the intensity and the position of the main circulation
   systems affecting the region, as for example the Azores subtropical
   anticyclone and the Mediterranean depressions. The examination of
   inter-decadal changes in the seasonal variation of cloud cover in the
   above core regions reveals a long-term decrease of cloudiness during the
   66-year period 1948-2014. A comparison with contemporary satellite
   MODerate resolution Imaging Spectroradiometer (MODIS) and surface based
   European Climate Assessment \& Dataset (ECA \& D) station cloud cover
   data is carried out for the above core regions, evidencing a similarity
   among the data sets as to their seasonal variability, which supports the
   validity of the NCEP/NCAR reanalysis cloud cover results.}},
Publisher = {{ELSEVIER SCIENCE INC}},
Address = {{STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA}},
Type = {{Article; Proceedings Paper}},
Language = {{English}},
Affiliation = {{Lolis, CJ (Corresponding Author), Univ Ioannina, Dept Phys, Lab Meteorol, GR-45110 Ioannina, Greece.
   Ioannidis, E.; Lolis, C. J.; Papadimas, C. D.; Hatzianastassiou, N.; Bartzokas, A., Univ Ioannina, Dept Phys, Lab Meteorol, GR-45110 Ioannina, Greece.}},
DOI = {{10.1016/j.atmosres.2017.08.021}},
ISSN = {{0169-8095}},
EISSN = {{1873-2895}},
Keywords = {{Cloudiness in the Mediterranean; Intra-annual variability; Factor
   analysis; NCEP/NCAR reanalysis; MODIS; ECA \& D}},
Keywords-Plus = {{TEMPORAL VARIABILITY; ATMOSPHERIC CIRCULATION; SEASONAL PRECIPITATION;
   IBERIAN PENINSULA; PART I; COVER; REANALYSIS; CLIMATOLOGY; BASIN;
   TROPICS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{chlolis@uoi.gr}},
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Number-of-Cited-References = {{61}},
Times-Cited = {{3}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Journal-ISO = {{Atmos. Res.}},
Doc-Delivery-Number = {{GH7RG}},
Unique-ID = {{ISI:000433650500019}},
DA = {{2020-08-06}},
}

@article{ ISI:000432471900050,
Author = {Fang, Kai and Zhang, Qifeng and Yu, Huajun and Wang, Yutao and Dong,
   Liang and Shi, Lei},
Title = {{Sustainability of the use of natural capital in a city: Measuring the
   size and depth of urban ecological and water footprints}},
Journal = {{SCIENCE OF THE TOTAL ENVIRONMENT}},
Year = {{2018}},
Volume = {{631-632}},
Pages = {{476-484}},
Month = {{AUG 1}},
Abstract = {{The Sustainable Development Goals (SDGs) are limited in their ability to
   measure progress towards environmental sustainability especially at the
   city level. The aim of this paper is to provide insights into an
   integrated assessment of urban sustainability, with emphasis on the
   significance of the maintenance of natural capital stocks. The use of
   water and land as critical natural capital in Guiyang, a southeast city
   in China was investigated by bringing together the ecological footprint
   (EF), water footprint (WF) and corresponding capacity indicators into an
   improved three-dimensional (i3D) model. Results showed that Guiyang has
   long been operating in a state of overshoot due to shortage of annual
   natural capital flows and accumulated depletion of stocks. This is
   particularly true for land use, whose stocks maintained a relatively
   stable level of depletion between 2000 and 2014. As of 2014, an EF depth
   of 6.45 was accumulated. With respect to water use, a shift in the
   city's role from creditor to debtor was observed in 2004. Industrial use
   of natural capital has more than tripled over the past 15 years and
   replaced agriculture to be the main driver of water unsustainability.
   Overall, Guiyang's economic growth did not show signs of decoupling from
   the EF and WE. These findings highlight the need for effective policies
   that would help Guiyang reduce dependency on the use of critical natural
   capital. Finally, this paper provided an in-depth discussion of the
   methodological strengths and limitations of the i3D model and concluded
   that it is able to track the structural and characteristic dynamics of
   both flows and stocks while avoiding burden shifting across various
   components within single forms of natural capital from a strong
   sustainability perspective. Our study enhances understanding of the
   critical role of natural capital in ensuring urban sustainability and
   improving human welfare in connection with SDGs. (C) 2018 Elsevier B.V.
   All rights reserved.}},
Publisher = {{ELSEVIER}},
Address = {{RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Shi, L (Corresponding Author), Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat \& Pollut Con, Beijing 100084, Peoples R China.
   Fang, Kai; Zhang, Qifeng, Zhejiang Univ, Sch Publ Affairs, Hangzhou 310058, Zhejiang, Peoples R China.
   Yu, Huajun; Wang, Yutao, Fudan Univ, Dept Environm Sci \& Engn, Shanghai Key Lab Atmospher Particle Pollut \& Prev, Shanghai 200433, Peoples R China.
   Dong, Liang, Leiden Univ, Inst Environm Sci CML, Einsteinweg 2, NL-2333 CC Leiden, Netherlands.
   Shi, Lei, Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat \& Pollut Con, Beijing 100084, Peoples R China.}},
DOI = {{10.1016/j.scitotenv.2018.02.299}},
ISSN = {{0048-9697}},
EISSN = {{1879-1026}},
Keywords = {{Urban sustainability; Natural capital; Ecological footprint; Water
   footprint; Flow vs. stock; Footprint size vs. depth}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; ENVIRONMENTAL SUSTAINABILITY; DEVELOPMENT GOALS;
   CARBON FOOTPRINT; PLANETARY BOUNDARIES; CHINA; NATIONS; LAND; INDICATOR;
   FRAMEWORK}},
Research-Areas = {{Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Environmental Sciences}},
Author-Email = {{slone@tsinghua.edu.cn}},
ResearcherID-Numbers = {{Wang, Yutao/P-4878-2019
   }},
ORCID-Numbers = {{Wang, Yutao/0000-0001-8297-8579
   Dong, Liang/0000-0001-9747-5851}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}71704157, 71774032, 41701636]; Soft Science
   Research Program of Zhejiang Province {[}2017C35003]; Qianjiang Talents
   Project of Zhejiang Province {[}QJC1602010]; Provincial Major Humanities
   and Social Science Project in Universities {[}2016GH005]; NWO Project of
   ``Smart Industrial Parks (SIPs) in China: towards Joint Design and
   Institutionalization{''} {[}467-14-003]; Fundamental Research Funds for
   the Central UniversitiesFundamental Research Funds for the Central
   Universities}},
Funding-Text = {{This work was financially supported by the National Natural Science
   Foundation of China (71704157, 71774032, 41701636), the Soft Science
   Research Program of Zhejiang Province (2017C35003), the Qianjiang
   Talents Project of Zhejiang Province (QJC1602010), the Provincial Major
   Humanities and Social Science Project in Universities (2016GH005), NWO
   Project of ``Smart Industrial Parks (SIPs) in China: towards Joint
   Design and Institutionalization{''} (467-14-003), and the Fundamental
   Research Funds for the Central Universities.}},
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Number-of-Cited-References = {{69}},
Times-Cited = {{16}},
Usage-Count-Last-180-days = {{12}},
Usage-Count-Since-2013 = {{122}},
Journal-ISO = {{Sci. Total Environ.}},
Doc-Delivery-Number = {{GG1UC}},
Unique-ID = {{ISI:000432471900050}},
DA = {{2020-08-06}},
}

@article{ ISI:000432882500003,
Author = {Alejandro Cardenete, M. and Lopez-Cabaco, Roberto},
Title = {{How modes of transport perform differently in the economy of Andalusia}},
Journal = {{TRANSPORT POLICY}},
Year = {{2018}},
Volume = {{66}},
Pages = {{9-16}},
Month = {{AUG}},
Abstract = {{This paper analyses the impact of the different modes of transport in
   the economy of Andalusia. This assessment makes use of multipliers
   analysis based on a Social Accounting Matrix (SAM). It has been
   performed a breakdown of output multipliers as a sum of direct, indirect
   and induced effects, and the salary and employment multipliers have also
   been calculated. The starting point is the creation of a SAM from the
   existing one of year 2010, but disaggregating the sector of transport
   into their different modes. Thanks to this, we establish the different
   impact in the economy of each mode of transport, highlighting their
   different performance. Regarding freight transport, train offers better
   effects in terms of output multipliers than transport by road. In
   transport of passengers, the impact of high speed train is more
   important than air transport, two modes that compete in some routes. The
   results in this paper are the kind that is of highest interest to policy
   makers, moreover when large investments are required.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Lopez-Cabaco, R (Corresponding Author), Univ Seville, Higher Tech Sch Engn, Camino Descubrimientos S-N, Seville 41092, Spain.
   Alejandro Cardenete, M., Univ Loyola Andalucia, Dept Econ, Campus Palmas Altas, Seville 41014, Spain.
   Lopez-Cabaco, Roberto, Univ Seville, Higher Tech Sch Engn, Camino Descubrimientos S-N, Seville 41092, Spain.
   Alejandro Cardenete, M., Univ Autonoma Chile, Sch Management \& Business, Campus Providencia,Avda Pedro Valdivia 425, Santiago, Chile.}},
DOI = {{10.1016/j.tranpol.2018.02.015}},
ISSN = {{0967-070X}},
EISSN = {{1879-310X}},
Keywords = {{Social accounting matrix; Input-output analysis; Transport}},
Keywords-Plus = {{IMPACT; PORT; INFRASTRUCTURE}},
Research-Areas = {{Business \& Economics; Transportation}},
Web-of-Science-Categories  = {{Economics; Transportation}},
Author-Email = {{rlopez3@us.es}},
Cited-References = {{Acosta M, 2011, INT J TRANSP ECON, V38, P243.
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Number-of-Cited-References = {{39}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{12}},
Journal-ISO = {{Transp. Policy}},
Doc-Delivery-Number = {{GG7MN}},
Unique-ID = {{ISI:000432882500003}},
DA = {{2020-08-06}},
}

@article{ ISI:000433650600069,
Author = {Liu, Junguo and Zhao, Xu and Yang, Hong and Liu, Qingying and Xiao,
   Honglang and Cheng, Guodong},
Title = {{Assessing China's ``developing a water-saving society{''} policy at a
   river basin level: A structural decomposition analysis approach}},
Journal = {{JOURNAL OF CLEANER PRODUCTION}},
Year = {{2018}},
Volume = {{190}},
Pages = {{799-808}},
Month = {{JUL 20}},
Abstract = {{China's ``Developing a Water-saving Society{''} policy is an ambitious
   water conservation strategy. However, there has been little evidence of
   the policy's effectiveness in terms of saving water at a river basin
   level. In this paper, we used a basin-scale hydroeconomic input-output
   model to calculate the water consumption (WC) by producers and consumers
   (WCp and WCp), respectively in the first pilot area for implementation
   of this policy, the Heihe River Basin, which belongs to an arid area in
   inland China. The results show that, after implementation of the policy,
   WCc decreased sharply but WCp only decreased slightly. A structural
   decomposition analysis revealed that decreased water consumption
   intensity played an important role in reducing water consumption.
   However, this effect was largely offset by the increasing exports of
   virtual water in goods and services. Our results suggest that in arid
   river basins, measures in saving water must be accompanied with a cap on
   total water consumption which is set in accordance with the local water
   endowments and consideration of environmental water requirement. (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 = {{Liu, JG (Corresponding Author), South Univ Sci \& Technol China, Sch Environm Sci \& Engn, Shenzhen 518055, Peoples R China.
   Zhao, X (Corresponding Author), Hohai Univ, Coll Environm, Key Lab Integrated Regulat \& Resource Dev Shallow, Minist Educ, Nanjing 210098, Jiangsu, Peoples R China.
   Liu, Junguo, South Univ Sci \& Technol China, Sch Environm Sci \& Engn, Shenzhen 518055, Peoples R China.
   Zhao, Xu, Hohai Univ, Coll Environm, Key Lab Integrated Regulat \& Resource Dev Shallow, Minist Educ

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