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Number-of-Cited-References = {{61}},
Times-Cited = {{7}},
Usage-Count-Last-180-days = {{4}},
Usage-Count-Since-2013 = {{35}},
Journal-ISO = {{Energy Econ.}},
Doc-Delivery-Number = {{GQ8PU}},
Unique-ID = {{ISI:000442019700035}},
DA = {{2020-08-06}},
}

@article{ ISI:000437834500009,
Author = {Orange, N. Brice and Chesny, David L. and Primack, Avram G. and Gendre,
   Bruce and Maina, Sandra N. and Giblin, Timothy W. and Morris, David C.},
Title = {{An extreme climate transition in the Caribbean's Virgin Islands. I.
   Evidence of teleconnection with the 1976/1977 Pacific climate shift}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2018}},
Volume = {{38}},
Number = {{6}},
Pages = {{2730-2742}},
Month = {{MAY}},
Abstract = {{We present the Caribbean's Virgin Islands' climate variability over the
   last 60years from indices of extreme temperature and precipitation, as
   well as their quantitative support for a recent climatic shift (1983.2
   +/- 5.5 years). The region's climate indices (defined via time series
   averages) and trends (defined via linear least squares regression
   fitting) of extreme temperature and precipitation were cross-examined
   from 1952, 1961, 1978, and 1983-2014 to diagnose: the area's climatic
   extremes; a climatic transition's role in assessing decadal climate
   anomaly rates; and to provide an analytically independent test of the
   transition's existence. Analyses relied on the use of varying physical
   constraints to include weighting from statistical and non-statistical
   uncertainties in our climatic outcomes. We report that diurnal warming
   and enhanced precipitation accompanied each interval, however,
   non-negligible deviations existed in comparisons between the same
   anomalies in any 2 intervals. Our Virgin Islands' long (1952, 1961-2014)
   versus short (1978, 1983-2014) climate variation comparisons provide
   evidence for the manifestation of decadal (or longer) shifts, and thus,
   biases, in recent Caribbean reports. Our climatic transition's overlap
   with the renowned 1976/1977 Pacific event insinuates a local Caribbean
   teleconnection, and contributes to the evidence growing globally for
   1980s' shifts in an abundance of feedback measures of Earth's energy
   budget.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Orange, NB (Corresponding Author), OrangeWave Innovat Sci LLC, 2113 Old Hwy 52, Berkeley, SC 29461 USA.
   Orange, N. Brice; Chesny, David L.; Maina, Sandra N., OrangeWave Innovat Sci LLC, 2113 Old Hwy 52, Berkeley, SC 29461 USA.
   Orange, N. Brice; Gendre, Bruce; Morris, David C., Etelman Observ, St Thomas, VI USA.
   Primack, Avram G., Indiana Univ, Sch Publ \& Environm Affairs, Bloomington, IN USA.
   Gendre, Bruce; Morris, David C., Univ Virgin Isl, Coll Sci \& Math, St Thomas, VI USA.
   Giblin, Timothy W., US Air Force Acad, Dept Phys, Colorado Springs, CO 80840 USA.}},
DOI = {{10.1002/joc.5456}},
ISSN = {{0899-8418}},
EISSN = {{1097-0088}},
Keywords = {{Caribbean; climate change; climate extreme; climatic shift; daily
   temperature; daily precipitation; trends}},
Keywords-Plus = {{MAXIMAL T-TEST; NORTH PACIFIC; REGIME SHIFTS; TROPICAL ATLANTIC;
   TEMPERATURE; RAINFALL; TRENDS; PRECIPITATION; VARIABILITY; INDEXES}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{orangewaveno@gmail.com}},
ResearcherID-Numbers = {{Gendre, Bruce/O-2923-2013
   }},
ORCID-Numbers = {{Gendre, Bruce/0000-0002-9077-2025
   Orange, Norton/0000-0001-6866-1436}},
Funding-Acknowledgement = {{US Geologocial Survey to the Virgin Islands Water Resources Research
   Institute (VI-WRRI) {[}G16AP00089]; NASA-MIRO {[}NNX15AP95A];
   NASA-EPSCoRNational Aeronautics \& Space Administration (NASA)
   {[}NNX13AD28A]; OrangeWave Innovative Science, LLC}},
Funding-Text = {{US Geologocial Survey to the Virgin Islands Water Resources Research
   Institute (VI-WRRI), Grant/Award Number: G16AP00089; NASA-MIRO,
   Grant/Award Number: NNX15AP95A; NASA-EPSCoR, Grant/Award Number:
   NNX13AD28A; OrangeWave Innovative Science, LLC}},
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Number-of-Cited-References = {{53}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{2}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{GM1NE}},
Unique-ID = {{ISI:000437834500009}},
DA = {{2020-08-06}},
}

@article{ ISI:000437834500010,
Author = {Theobald, Alison and McGowan, Hamish and Speirs, Johanna},
Title = {{Teleconnection influence of precipitation-bearing synoptic types over
   the Snowy Mountains region of south-east Australia}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2018}},
Volume = {{38}},
Number = {{6}},
Pages = {{2743-2759}},
Month = {{MAY}},
Abstract = {{Precipitation falling in the Snowy Mountains region of south-east
   Australia is a critical resourceproviding water for hydroelectricity, as
   well as irrigated agriculture and environmental flows throughout the
   economically important Murray River system. Improved understanding of
   the drivers of precipitation variability is therefore a key research
   aim. Focussing on synoptic types responsible for delivering
   precipitation 10 mm per day, an analysis is presented of the large-scale
   atmospheric circulation drivers (teleconnections) of seasonal synoptic
   type frequency using cross-wavelet and boosted regression tree methods.
   Results demonstrate that relationships are not stationary over the
   period 1900-2012, and complex interactions between teleconnections and
   synoptic atmospheric circulation drive precipitation variability.
   Importantly, we demonstrate that teleconnections do not act in
   isolation. Relationships with the tropical Pacific Ocean are shown to be
   key drivers of synoptic types associated not only with the dominant
   tropical moisture pathways to the Snowy Mountains, but also with
   extra-tropical sources. Tropical sea surface temperatures are therefore
   shown to drive synoptic type frequency and facilitate the dominance of
   synoptic types with tropical moisture sources, most notability since the
   1950s.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Theobald, A (Corresponding Author), Univ Queensland, Sch Earth \& Environm Sci, Climate Res Grp, Level 4,Chamberlain Bldg, St Lucia, Qld 4072, Australia.
   Theobald, Alison; McGowan, Hamish; Speirs, Johanna, Univ Queensland, Sch Earth \& Environm Sci, Climate Res Grp, Level 4,Chamberlain Bldg, St Lucia, Qld 4072, Australia.
   Speirs, Johanna, Snowy Hydro Ltd, Sydney, NSW, Australia.}},
DOI = {{10.1002/joc.5457}},
ISSN = {{0899-8418}},
EISSN = {{1097-0088}},
Keywords = {{atmospheric circulation; Australia; large-scale climate drivers;
   precipitation; teleconnections}},
Keywords-Plus = {{INDIAN-OCEAN DIPOLE; SEASONAL RAINFALL VARIABILITY; LOW-FREQUENCY
   VARIABILITY; ANNULAR MODE; EL-NINO; INDONESIAN THROUGHFLOW; SOUTHEASTERN
   AUSTRALIA; ATMOSPHERIC PROCESSES; CLIMATE VARIABILITY; SUBTROPICAL RIDGE}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{ajtheobald@hotmail.com}},
Funding-Acknowledgement = {{Australian Postgraduate AwardAustralian Government; Snowy Hydro Limited}},
Funding-Text = {{The authors acknowledge Snowy Hydro Limited and the Queensland
   Government Department of Science, Information Technology and Innovation
   for providing precipitation data. We thank A. Lowry, D. Kingston and P.
   Sirguey for their help in interpreting the wavelet analysis, S. Browning
   for helpful discussions, and three anonymous reviewers for constructive
   comments that have improved the clarity of this work. A. Theobald was
   supported by an Australian Postgraduate Award and Snowy Hydro Limited.}},
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Number-of-Cited-References = {{96}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{1}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{GM1NE}},
Unique-ID = {{ISI:000437834500010}},
DA = {{2020-08-06}},
}

@article{ ISI:000437834500019,
Author = {Zhao, Junhu and Zhou, Jie and Yang, Liu and Hou, Wei and Feng, Guolin},
Title = {{Inter-annual and inter-decadal variability of early- and late-summer
   precipitation over northeast China and their background circulation}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2018}},
Volume = {{38}},
Number = {{6}},
Pages = {{2880-2888}},
Month = {{MAY}},
Abstract = {{Using precipitation data from weather stations in China and reanalysis
   data from National Centers for Environmental Prediction/National Center
   for Atmospheric Research (NCEP/NCAR), the inter-annual and inter-decadal
   variability of early-summer (May-June) and late-summer (July-August)
   precipitation (hereinafter referred to as MJP and JAP, respectively)
   over northeast China (NEC) and their background circulation during
   1951-2016 were analysed. The following new findings have been
   highlighted: (a) There are significantly different inter-annual and
   inter-decadal variability characteristics between MJP and JAP over NEC.
   The inter-annual variability of MJP is independent from that of JAP,
   while the inter-decadal variability of the former is opposite to that of
   the latter. A significant shift to more MJP (less JAP) occurred in the
   early 2000s (late 1990s). (b) In terms of the inter-annual timescale,
   the large-scale atmospheric circulations-associated MJP is notably
   different from JAP over NEC. The variation in MJP is mainly dominated by
   the northeast China low (NECL) and the Okhotsk blocking high (OBH),
   while JAP is mainly influenced by the western Pacific subtropical high
   (WPSH), the NEC south wind (NESW), and the NECL. (c) On the
   inter-decadal timescale, MJP is associated with the inter-decadal
   variation of the East Asia/Pacific (EAP) teleconnection, while JAP is
   closely related to the inter-decadal variation of the NECL and NESW.
   When the EAP is in a positive phase, MJP is more than average.
   Furthermore in late summer, the strong NECL and NESW are both of benefit
   to the convergence of water vapour from the tropical southwest and East
   Asian subtropical westerlies over NEC, which contributes to the more JAP
   than average.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Feng, GL (Corresponding Author), Yangzhou Univ, Coll Phys Sci \& Technol, Yangzhou 225002, Jiangsu, Peoples R China.
   Zhao, Junhu; Hou, Wei, China Meteorol Adm, Natl Climate Ctr, Lab Climate Studies, Beijing, Peoples R China.
   Zhao, Junhu; Feng, Guolin, Yangzhou Univ, Coll Phys Sci \& Technol, Yangzhou 225002, Jiangsu, Peoples R China.
   Zhou, Jie, Chongqing Meteorol Serv, Chongqing Climate Ctr, Chongqing, Peoples R China.
   Yang, Liu, Lanzhou Univ, Coll Atmospher Sci, Lanzhou, Gansu, Peoples R China.}},
DOI = {{10.1002/joc.5470}},
ISSN = {{0899-8418}},
EISSN = {{1097-0088}},
Keywords = {{circulation; inter-annual; inter-decadal; northeast China; precipitation}},
Keywords-Plus = {{MONSOON INDEX; SEASONAL PREDICTION; RAINFALL; TRANSPORT; MODEL}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{fenggl@cma.gov.cn}},
Funding-Acknowledgement = {{National Natural Science Foundations of ChinaNational Natural Science
   Foundation of China {[}41505061, 41675092, 41375069, 41530531]; National
   Key Research and Development Program of China {[}2017YFC1502303]}},
Funding-Text = {{National Natural Science Foundations of China, Grant/Award Number:
   41505061, 41675092, 41375069, 41530531; National Key Research and
   Development Program of China, Grant/Award Number: 2017YFC1502303}},
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Number-of-Cited-References = {{30}},
Times-Cited = {{8}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{13}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{GM1NE}},
Unique-ID = {{ISI:000437834500019}},
DA = {{2020-08-06}},
}

@article{ ISI:000436558400013,
Author = {Mustafin, A. and Kantarbayeva, A.},
Title = {{Opening the Leontief's black box}},
Journal = {{HELIYON}},
Year = {{2018}},
Volume = {{4}},
Number = {{5}},
Month = {{MAY}},
Abstract = {{The paper attempts to reconstruct what goes on inside the black box of
   the fixed proportions production function underlying the matrix of
   technical coefficients in the famous Leontief's input-output analysis.
   The approach is based on an idea that the conversion of inputs to
   outputs in industrial supply chains occurs in much the same manner as
   does the conversion of substrates into different molecules in
   enzyme-catalyzed biochemical reactions. A bottleneck principle is
   derived according to which at any moment the steady-state output of a
   multi-resource, one-product supply chain is completely controlled by a
   sole, most deficient, factor of production. This dramatic shrinkage of
   complexity is made possible owing to two key features of the
   input-output production units comprising the chain: saturated response
   of the output to the inventory level and weak buffer inventory leakage.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Mustafin, A (Corresponding Author), Satbayev Univ, 22 Satbayev St, Alma Ata 050013, Kazakhstan.
   Mustafin, A.; Kantarbayeva, A., Satbayev Univ, 22 Satbayev St, Alma Ata 050013, Kazakhstan.}},
DOI = {{10.1016/j.heliyon.2018.e00626}},
Article-Number = {{e00626}},
ISSN = {{2405-8440}},
Keywords = {{Applied mathematics; Economics; Business}},
Research-Areas = {{Science \& Technology - Other Topics}},
Web-of-Science-Categories  = {{Multidisciplinary Sciences}},
Author-Email = {{butsuri123@gmail.com}},
ResearcherID-Numbers = {{Kantarbayeva, Aliya/Q-3276-2018
   Mustafin, Almaz/G-3685-2014}},
ORCID-Numbers = {{Kantarbayeva, Aliya/0000-0002-8798-8036
   Mustafin, Almaz/0000-0001-9474-2352}},
Funding-Acknowledgement = {{Ministry of Education and Science of the Republic of
   KazakhstanGovernment of the Republic of KazakhstanMinistry of Education
   and Science of the Republic of Kazakhstan {[}0116RK00250, 0116RK00275]}},
Funding-Text = {{The results presented in this paper are part of the self-funded research
   projects 0116RK00250 and 0116RK00275 registered at the Ministry of
   Education and Science of the Republic of Kazakhstan.}},
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Number-of-Cited-References = {{44}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{2}},
Journal-ISO = {{Heliyon}},
Doc-Delivery-Number = {{GK9IO}},
Unique-ID = {{ISI:000436558400013}},
OA = {{DOAJ Gold, Green Published}},
DA = {{2020-08-06}},
}

@article{ ISI:000436111400027,
Author = {Wu, Yi-Kai and Hong, Chi-Cherng and Chen, Cheng-Ta},
Title = {{Distinct Effects of the Two Strong El Nino Events in 2015-2016 and
   1997-1998 on the Western North Pacific Monsoon and Tropical Cyclone
   Activity: Role of Subtropical Eastern North Pacific Warm SSTA}},
Journal = {{JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS}},
Year = {{2018}},
Volume = {{123}},
Number = {{5}},
Pages = {{3603-3618}},
Month = {{MAY}},
Abstract = {{Western North Pacific (WNP) summer monsoon and tropical cyclone (TC)
   activity are supposed to be declined during a strong El Nino decaying
   summer. The 2015-2016 event, which had a Nino 3.4 sea surface
   temperature (SSTA) similar to the 1997-1998 event, was classified as a
   strong El Nino. However, WNP summer monsoon and TC activity were normal
   or even stronger than the climatological mean during the decaying
   summer. This study addressed why the 2015-2016 El Nino event exerted
   distinct effects on the WNP's climate compared with the 1997-1998 event.
   The major difference in oceanic conditions between the two events is
   that a southwest-northeast-tilted subtropical warm SSTA in the eastern
   North Pacific associated with a pronounced westerly anomaly in the
   subtropical North Pacific was observed in 2015-2016. Singular value
   decomposition (SVD) analysis of the covariance of the SSTA and low-level
   wind indicated that second mode, resembling the Pacific meridional mode
   (PMM), accounted for the subtropical warm SSTA in the eastern North
   Pacific. Conversely, the contribution of leading mode (i.e., El Nino
   SSTA) was insignificant. Observational analysis indicated that the
   PMM-associated SSTA is significantly correlated with a large-scale
   low-level cyclonic circulation anomaly in the WNP during the El Nino
   decaying spring to summer, which may have an effect on offsetting the El
   Nino-induced anticyclone in the WNP and therefore returns WNP summer
   monsoon and TC activity to normal. The PMM-SST correlated with cyclonic
   circulation anomaly was further enhanced by an active phase of
   intraseasonal oscillation. The possible effect of PMM-associated SST on
   the summer monsoon and TC activity was further supported by numerical
   experiments.
   Plain Language Summary Western North Pacific (WNP) summer monsoon and
   tropical cyclone (TC) activity are supposed to be declined during a
   strong El Nino decaying summer. The 2015-2016 event, which had a Nino
   3.4 sea surface temperature (SST) anomaly similar to the 1997-1998
   event, was classified as a strong El Nino. However, WNP summer monsoon
   and TC activity were normal and even stronger than the climatological
   mean during the decaying summer. This study addressed why the 2015-2016
   El Nino event exerted distinct effects on the WNP's climate compared
   with the 1997-1998 event. We demonstrated the distinct impacts in the
   two strong El Ninos are primarily attributed to the oceanic forcing of
   the subtropical warm SST in the eastern North Pacific.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Hong, CC (Corresponding Author), Univ Taipei, Dept Earth \& Life Sci, Taipei, Taiwan.
   Wu, Yi-Kai; Chen, Cheng-Ta, Natl Taiwan Normal Univ, Dept Earth Sci, Taipei, Taiwan.
   Wu, Yi-Kai; Hong, Chi-Cherng, Univ Taipei, Dept Earth \& Life Sci, Taipei, Taiwan.}},
DOI = {{10.1002/2018JC013798}},
ISSN = {{2169-9275}},
EISSN = {{2169-9291}},
Keywords = {{El Nino; Western North Pacific summer monsoon; tropical cyclone
   activity; Pacific meridional mode}},
Keywords-Plus = {{SOUTHERN-OSCILLATION; ASIAN TELECONNECTION; CLIMATE VARIABILITY; ENSO;
   PRECIPITATION; IMPACTS; FUTURE; INDEX}},
Research-Areas = {{Oceanography}},
Web-of-Science-Categories  = {{Oceanography}},
Author-Email = {{cchong@utaipei.edu.tw}},
ResearcherID-Numbers = {{Hong, Chi-Cherng/P-9401-2016}},
ORCID-Numbers = {{Hong, Chi-Cherng/0000-0002-9732-249X}},
Funding-Acknowledgement = {{Ministry of Science and Technology, TaiwanMinistry of Science and
   Technology, Taiwan {[}MOST-104-2111-M-845-002, MOST 104-2621-M-865-001,
   MOST-105-2111-M-845-002]}},
Funding-Text = {{The observational atmospheric and oceanic data used in this study were
   from the NOAA's Earth System Research Laboratory and NCEP/NCAR. Data of
   tropical cyclone are from IBTrACS, and the ECHAM5 model is used for the
   simulation. We thank Dr. W.-L. Tseng and M.-Y. Lee to conduct the
   numerical simulations. Simulation data are accessible at
   http://myweb.utaipei.edu.tw/\~{}climate. This study was supported by the
   Ministry of Science and Technology, Taiwan, under grants
   MOST-104-2111-M-845-002, MOST 104-2621-M-865-001, and
   MOST-105-2111-M-845-002. The National Center for High-performance
   Computing provided computing resource for this study.}},
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Number-of-Cited-References = {{39}},
Times-Cited = {{8}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{8}},
Journal-ISO = {{J. Geophys. Res.-Oceans}},
Doc-Delivery-Number = {{GK4FI}},
Unique-ID = {{ISI:000436111400027}},
DA = {{2020-08-06}},
}

@article{ ISI:000435587100373,
Author = {Yoon, Young and Yang, Minyoung and Kim, Jinsoo},
Title = {{An Analysis of CO2 Emissions from International Transport and the
   Driving Forces of Emissions Change}},
Journal = {{SUSTAINABILITY}},
Year = {{2018}},
Volume = {{10}},
Number = {{5}},
Month = {{MAY}},
Abstract = {{As a consequence of globalization, increased international transport
   generates many pollutants. Pollution generation from other industries
   related to international transport also cannot be ignored. This paper
   thus aims to investigate the carbon emissions from international
   transport. We analyzed embodied carbon emissions of international
   transport using multi-region input output analysis, and identified the
   factors underlying changes in emissions using structural decomposition
   analysis. China was the world's largest CO2-emitting country in
   international transport in terms of both production- and
   consumption-based standards. However, consumption-based emissions in
   that country were much lower than production-based emissions, while in
   the United States, with second largest emissions, the situation was the
   opposite. Major emission changes were contingent on demands for
   international transportation and emission efficiency. In the case of the
   European Union (EU), consumption-based emissions were higher, but CO2
   emissions decreased gradually due to increased emission efficiency. The
   different information is provided by each standard, and reduction
   targets can change according to the standards employed. While
   discussions on emissions standards are still in progress, the results of
   this study suggest that CO2 emissions from international transport, and
   according to different emissions standards, should receive careful
   attention in energy policy design, in order to limit CO2 emissions
   globally.}},
Publisher = {{MDPI}},
Address = {{ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Kim, J (Corresponding Author), Hanyang Univ, Dept Earth Resources \& Environm Engn, Seoul 04763, South Korea.
   Yoon, Young; Yang, Minyoung; Kim, Jinsoo, Hanyang Univ, Dept Earth Resources \& Environm Engn, Seoul 04763, South Korea.}},
DOI = {{10.3390/su10051677}},
Article-Number = {{1677}},
EISSN = {{2071-1050}},
Keywords = {{international trade; CO2 emission; input output analysis; structural
   decomposition analysis; embodied carbon}},
Keywords-Plus = {{STRUCTURAL DECOMPOSITION ANALYSIS; INPUT-OUTPUT; ENERGY USE; GAS
   EMISSIONS; TRADE; CONSUMPTION; ECONOMY; DRIVERS; GROWTH; MODEL}},
Research-Areas = {{Science \& Technology - Other Topics; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Environmental Sciences;
   Environmental Studies}},
Author-Email = {{youngyoon@hanyang.ac.kr
   yminy94@hanyang.ac.kr
   jinsookim@hanyang.ac.kr}},
ResearcherID-Numbers = {{Kim, Jinsoo/P-9559-2015}},
ORCID-Numbers = {{Kim, Jinsoo/0000-0001-6496-1714}},
Funding-Acknowledgement = {{Human Resources Development program of the Korea Institute of Energy
   Technology Evaluation and Planning (KETEP) {[}20174010201170]; Korean
   government Ministry of Trade, Industry and Energy; National Research
   Foundation of Korea by the Korean Government {[}NRF-2015S1A3A2046684]}},
Funding-Text = {{This work was supported by the Human Resources Development program (No.
   20174010201170) of the Korea Institute of Energy Technology Evaluation
   and Planning (KETEP), grant-funded by the Korean government Ministry of
   Trade, Industry and Energy; and by the National Research Foundation of
   Korea by the Korean Government (grant number NRF-2015S1A3A2046684).}},
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Number-of-Cited-References = {{39}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{16}},
Journal-ISO = {{Sustainability}},
Doc-Delivery-Number = {{GJ7RP}},
Unique-ID = {{ISI:000435587100373}},
OA = {{DOAJ Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000433169800012,
Author = {Aneesh, N. R. and Shivaprasad, K. N. and Das, B. B.},
Title = {{Life cycle energy analysis of a metro station building envelope through
   computer based simulation}},
Journal = {{SUSTAINABLE CITIES AND SOCIETY}},
Year = {{2018}},
Volume = {{39}},
Pages = {{135-143}},
Month = {{MAY}},
Abstract = {{This study focuses on the energy auditing of a metro terminal station
   building envelope which is located at a major city in south India.
   Embodied energy was calculated using the unit embodied energy values and
   by quantifying major energy consuming material used for the construction
   of a metro terminal station building. e-Quest, the energy simulation
   software was used for modelling the terminal station building and
   thereby calculated the yearly consumption of operational energy.
   Terminal station building is modelled with a detailed description of the
   building in e-Quest, which is being analysed with lighting, equipment's,
   thermostat settings, hourly scheduling of occupants and climatic data as
   the inputs to the model. In assessing the life cycle energy of the
   terminal station building, recurring energy and transportation energy
   were also calculated. In addition, this study discusses the comparative
   analysis on operational energy consumption for the same metro station
   model for three different climatic regions across India. Further, the
   present study on life cycle energy is compared with the life cycle
   energies of different types of buildings obtained from the literature,
   for an understanding of the energy usage demand per year per capita,
   between a public utility building, a commercial building and different
   types of residential buildings.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Das, BB (Corresponding Author), Natl Inst Technol Karnataka, Civil Engn Dept, Mangalore 575025, India.
   Aneesh, N. R.; Shivaprasad, K. N.; Das, B. B., Natl Inst Technol Karnataka, Civil Engn Dept, Mangalore 575025, India.}},
DOI = {{10.1016/j.scs.2018.02.006}},
ISSN = {{2210-6707}},
EISSN = {{2210-6715}},
Keywords = {{Energy; Metro terminal station; Region; e-Quest; Simulation}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; EMBODIED ENERGY; INVENTORIES; CONSUMPTION; INDIA;
   CHINA}},
Research-Areas = {{Construction \& Building Technology; Science \& Technology - Other
   Topics; Energy \& Fuels}},
Web-of-Science-Categories  = {{Construction \& Building Technology; Green \& Sustainable Science \&
   Technology; Energy \& Fuels}},
Author-Email = {{bibhutibhusan@gmail.com}},
ResearcherID-Numbers = {{KN, Shivaprasad/A-2960-2019}},
ORCID-Numbers = {{KN, Shivaprasad/0000-0003-1860-1499}},
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Number-of-Cited-References = {{28}},
Times-Cited = {{3}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{6}},
Journal-ISO = {{Sust. Cities Soc.}},
Doc-Delivery-Number = {{GH1NO}},
Unique-ID = {{ISI:000433169800012}},
DA = {{2020-08-06}},
}

@article{ ISI:000430729100032,
Author = {Vance, Philip J. and Das, Gautham P. and Kerr, Dermot and Coleman, Sonya
   A. and McGinnity, T. Martin and Gollisch, Tim and Liu, Jian K.},
Title = {{Bioinspired Approach to Modeling Retinal Ganglion Cells Using System
   Identification Techniques}},
Journal = {{IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS}},
Year = {{2018}},
Volume = {{29}},
Number = {{5}},
Pages = {{1796-1808}},
Month = {{MAY}},
Abstract = {{The processing capabilities of biological vision systems are still
   vastly superior to artificial vision, even though this has been an
   active area of research for over half a century. Current artificial
   vision techniques integrate many insights from biology yet they remain
   far-off the capabilities of animals and humans in terms of speed, power,
   and performance. A key aspect to modeling the human visual system is the
   ability to accurately model the behavior and computation within the
   retina. In particular, we focus on modeling the retinal ganglion cells
   (RGCs) as they convey the accumulated data of real world images as
   action potentials onto the visual cortex via the optic nerve.
   Computational models that approximate the processing that occurs within
   RGCs can be derived by quantitatively fitting the sets of physiological
   data using an input-output analysis where the input is a known stimulus
   and the output is neuronal recordings. Currently, these input-output
   responses are modeled using computational combinations of linear and
   nonlinear models that are generally complex and lack any relevance to
   the underlying biophysics. In this paper, we illustrate how system
   identification techniques, which take inspiration from biological
   systems, can accurately model retinal ganglion cell behavior, and are a
   viable alternative to traditional linear-nonlinear approaches.}},
Publisher = {{IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC}},
Address = {{445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Vance, PJ (Corresponding Author), Ulster Univ, Intelligent Syst Res Ctr, Magee Campus, Londonderry BT48 7JL, North Ireland.
   Vance, Philip J.; Das, Gautham P.; Kerr, Dermot; Coleman, Sonya A.; McGinnity, T. Martin, Ulster Univ, Intelligent Syst Res Ctr, Magee Campus, Londonderry BT48 7JL, North Ireland.
   McGinnity, T. Martin, Nottingham Trent Univ, Coll Sci \& Technol, Nottingham NG11 8NS, England.
   Gollisch, Tim; Liu, Jian K., Univ Med Ctr Gottingen, Dept Ophthalmol, D-37073 Gottingen, Germany.
   Gollisch, Tim; Liu, Jian K., Bernstein Ctr Computat Neurosci Gottingen, D-37077 Gottingen, Germany.
   Liu, Jian K., Graz Univ Technol, Theoret Comp Sci, A-8010 Graz, Austria.}},
DOI = {{10.1109/TNNLS.2017.2690139}},
ISSN = {{2162-237X}},
EISSN = {{2162-2388}},
Keywords = {{Artificial stimuli; biological vision; computational modeling; receptive
   field (RF); retinal ganglion cells (RGCs)}},
Keywords-Plus = {{FUZZY NEURAL-NETWORKS; NON-LINEAR SYSTEMS; RECEPTIVE-FIELD; PREDICTION;
   ALGORITHMS; RESPONSES}},
Research-Areas = {{Computer Science; Engineering}},
Web-of-Science-Categories  = {{Computer Science, Artificial Intelligence; Computer Science, Hardware \&
   Architecture; Computer Science, Theory \& Methods; Engineering,
   Electrical \& Electronic}},
Author-Email = {{p.vance@ulster.ac.uk
   g.das@ulster.ac.uk
   d.kerr@ulster.ac.uk
   sa.coleman@ulster.ac.uk
   tm.mcginnity@ulster.ac.uk
   tim.gollisch@med.uni-goettingen.de
   jian.liu@med.uni-goettingen.de}},
ResearcherID-Numbers = {{Liu, Jian K./E-1748-2013
   }},
ORCID-Numbers = {{Liu, Jian K./0000-0002-5391-7213
   Gollisch, Tim/0000-0003-3998-533X
   Vance, Philip/0000-0002-2189-3608
   McGinnity, Thomas Martin/0000-0002-9897-4748}},
Funding-Acknowledgement = {{European Union Seventh Framework Program (FP7-ICT) through the Project
   VISUALISE {[}600954]}},
Funding-Text = {{This work was supported by the European Union Seventh Framework Program
   (FP7-ICT-2011.9.11) under Grant 600954 through the Project VISUALISE.}},
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Number-of-Cited-References = {{47}},
Times-Cited = {{3}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{10}},
Journal-ISO = {{IEEE Trans. Neural Netw. Learn. Syst.}},
Doc-Delivery-Number = {{GD7YK}},
Unique-ID = {{ISI:000430729100032}},
OA = {{Green Accepted}},
DA = {{2020-08-06}},
}

@article{ ISI:000430627500002,
Author = {Yoon, Jin-Ho and Wang, S-Y Simon and Lo, Min-Hui and Wu, Wen-Ying},
Title = {{Concurrent increases in wet and dry extremes projected in Texas and
   combined effects on groundwater}},
Journal = {{ENVIRONMENTAL RESEARCH LETTERS}},
Year = {{2018}},
Volume = {{13}},
Number = {{5}},
Month = {{MAY}},
Abstract = {{The US state of Texas has experienced consecutive flooding events since
   spring 2015 with devastating consequences, yet these happened only a few
   years after the record drought of 2011. Identifying the effect of
   climate variability on regional water cycle extremes, such as the
   predicted occurrence of La Nina in winter 2017-2018 and its association
   with drought in Texas, remains a challenge. The present analyses use
   large-ensemble simulations to project the future of water cycle extremes
   in Texas and assess their connection with the changing El Nino-Southern
   Oscillation (ENSO) teleconnection under global warming. Large-ensemble
   simulations indicate that both intense drought and excessive
   precipitation are projected to increase towards the middle of the 21st
   century, associated with a strengthened effect from ENSO. Despite the
   precipitation increase projected for the southern Great Plains,
   groundwater storage is likely to decrease in the long run with
   diminishing groundwater recharge; this is due to the concurrent
   increases and strengthening in drought offsetting the effect of added
   rains. This projection provides implications to short-term climate
   anomaly in the face of the La Nina and to long-term water resources
   planning.}},
Publisher = {{IOP PUBLISHING LTD}},
Address = {{TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Yoon, JH (Corresponding Author), Gwangju Inst Sci \& Technol, Sch Earth Sci \& Environm Engn, Gwangju, South Korea.
   Yoon, Jin-Ho, Gwangju Inst Sci \& Technol, Sch Earth Sci \& Environm Engn, Gwangju, South Korea.
   Wang, S-Y Simon, Utah State Univ, Dept Plants Soils \& Climate, Logan, UT 84322 USA.
   Wang, S-Y Simon, Utah State Univ, Utah Climate Ctr, Logan, UT 84322 USA.
   Lo, Min-Hui, Natl Taiwan Univ, Dept Atmospher Sci, Taipei, Taiwan.
   Wu, Wen-Ying, Univ Texas Austin, Dept Geol Sci, Jackson Sch Geosci, Austin, TX USA.}},
DOI = {{10.1088/1748-9326/aab96b}},
Article-Number = {{054002}},
ISSN = {{1748-9326}},
Keywords = {{climate extremes; ENSO; drought; flood}},
Keywords-Plus = {{LOW-LEVEL JET; EL-NINO TELECONNECTIONS; UNITED-STATES; NORTH-AMERICA;
   2011 DROUGHT; MOISTURE; PLAINS; PRECIPITATION}},
Research-Areas = {{Environmental Sciences \& Ecology; Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Environmental Sciences; Meteorology \& Atmospheric Sciences}},
Author-Email = {{yjinho@gist.ac.kr}},
ResearcherID-Numbers = {{YOON, JIN-HO/A-1672-2009
   }},
ORCID-Numbers = {{YOON, JIN-HO/0000-0002-4939-8078
   Wu, Wen-Ying/0000-0002-6534-5726}},
Funding-Acknowledgement = {{Korean Meteorological Administration Research and Development Program
   {[}KMI2017-2410]; SERDP grant {[}RC-2709]; MOSTMinistry of Science and
   Technology (MOST) Korea {[}106-2111-M-002-010-MY4]}},
Funding-Text = {{J Yoon was supported by the funding from the Korean Meteorological
   Administration Research and Development Program under Grant
   KMI2017-2410. SY Wang was supported by the SERDP grant RC-2709. M Lo
   acknowledged funding MOST 106-2111-M-002-010-MY4.}},
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Number-of-Cited-References = {{24}},
Times-Cited = {{3}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{17}},
Journal-ISO = {{Environ. Res. Lett.}},
Doc-Delivery-Number = {{GD6OE}},
Unique-ID = {{ISI:000430627500002}},
OA = {{DOAJ Gold, Green Published}},
DA = {{2020-08-06}},
}

@article{ ISI:000430585900005,
Author = {Wang, Hui and Liu, Kexiu and Wang, Aimei and Feng, Jianlong and Fan,
   Wenjing and Liu, Qiulin and Xu, Yao and Zhang, Zengjian},
Title = {{Regional characteristics of the effects of the El Nio-Southern
   Oscillation on the sea level in the China Sea}},
Journal = {{OCEAN DYNAMICS}},
Year = {{2018}},
Volume = {{68}},
Number = {{4-5}},
Pages = {{485-495}},
Month = {{MAY}},
Abstract = {{Based on coastal tide level, satellite altimetry, and sea surface
   temperature (SST) data of offshore areas of China's coast and the
   equatorial Pacific Ocean, the regional characteristics of the effects of
   the El Nio-Southern Oscillation (ENSO) on the sea level in the China Sea
   were investigated. Singular value decomposition results show a
   significant teleconnection between the sea level in the China Sea and
   the SST of the tropical Pacific Ocean; the correlation coefficient
   decreases from south to north. Data from tide gauges along China's coast
   show that the seasonal sea-level variations are significantly correlated
   with the ENSO. In addition, China's coast was divided into three regions
   based on distinctive regional characteristics. Results obtained show
   that the annual amplitude of sea level was low during El Nio developing
   years, and especially so during the El Nio year. The ENSO intensity
   determined the response intensity of the annual amplitude of the sea
   level. The response region (amplitude) was relatively large for strong
   ENSO intensities. Significant oscillation periods at a timescale of 4-7
   years existed in the sea level of the three regions. The largest
   amplitude of oscillation was 1.5 cm, which was the fluctuation with the
   7-year period in the South China Sea. The largest amplitude of
   oscillation in the East China Sea was about 1.3 cm. The amplitude of
   oscillation with the 6-year period in the Bohai Sea and Yellow Sea was
   the smallest (less than 1 cm).}},
Publisher = {{SPRINGER HEIDELBERG}},
Address = {{TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Feng, JL (Corresponding Author), Natl Marine Data \& Informat Serv, Tianjin, Peoples R China.
   Wang, Hui; Liu, Kexiu; Wang, Aimei; Feng, Jianlong; Fan, Wenjing; Liu, Qiulin; Zhang, Zengjian, Natl Marine Data \& Informat Serv, Tianjin, Peoples R China.
   Xu, Yao, Hangzhou Normal Univ, Hangzhou, Zhejiang, Peoples R China.}},
DOI = {{10.1007/s10236-018-1144-x}},
ISSN = {{1616-7341}},
EISSN = {{1616-7228}},
Keywords = {{Sea level; El Nino-Southern Oscillation; Singular value decomposition;
   Sea surface temperature}},
Keywords-Plus = {{VALUE DECOMPOSITION ANALYSIS;