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Number-of-Cited-References = {{188}},
Times-Cited = {{4}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{19}},
Journal-ISO = {{Transp. Res. Pt. A-Policy Pract.}},
Doc-Delivery-Number = {{GT2XK}},
Unique-ID = {{ISI:000444363400003}},
DA = {{2020-08-06}},
}

@article{ ISI:000443930800002,
Author = {Goss, Michael and Lee, Sukyoung and Feldstein, Steven B. and
   Diffenbaugh, Noah S.},
Title = {{Can ENSO-Like Convection Force an ENSO-Like Extratropical Response on
   Subseasonal Time Scales?}},
Journal = {{JOURNAL OF CLIMATE}},
Year = {{2018}},
Volume = {{31}},
Number = {{20}},
Pages = {{8339-8349}},
Month = {{OCT}},
Abstract = {{A daily El Nino-Southern Oscillation (ENSO) index is developed based on
   precipitation rate and is used to investigate subseasonal time-scale
   extratropical circulation anomalies associated with ENSO-like convective
   heating. The index, referred to as the El Nino precipitation index
   (ENPI), is anomalously positive when there is El Nino-like convection.
   Conversely, the ENPI is anomalously negative when there is La Nina-like
   convection. It is found that when precipitation becomes El Nino-like (La
   Nina-like) on subseasonal time scales, the 300-hPa geopotential height
   field over the North Pacific and western North America becomes El
   Nino-like (La Nina-like) within 5-10 days. The composites show a small
   association with the MJO. These results are supported by previous
   modeling studies, which show that the response over the North Pacific
   and western North America to an equatorial Pacific heating anomaly
   occurs within about one week. This suggests that the mean seasonal
   extratropical response to El Nino (La Nina) may in effect simply be the
   average of the subseasonal response to subseasonally varying El
   Nino-like (La Nina-like) convective heating. Implications for
   subseasonal to seasonal forecasting are discussed.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Goss, M (Corresponding Author), Penn State Univ, Dept Meteorol, 503 Walker Bldg, University Pk, PA 16802 USA.
   Goss, M (Corresponding Author), Stanford Univ, Dept Earth Syst Sci, Stanford, CA 94305 USA.
   Goss, Michael; Lee, Sukyoung; Feldstein, Steven B., Penn State Univ, Dept Meteorol, 503 Walker Bldg, University Pk, PA 16802 USA.
   Goss, Michael; Diffenbaugh, Noah S., Stanford Univ, Dept Earth Syst Sci, Stanford, CA 94305 USA.
   Diffenbaugh, Noah S., Stanford Univ, Woods Inst Environm, Stanford, CA 94305 USA.}},
DOI = {{10.1175/JCLI-D-17-0771.1}},
ISSN = {{0894-8755}},
EISSN = {{1520-0442}},
Keywords = {{Atmospheric circulation; ENSO; Pacific-North American pattern;
   oscillation; Seasonal forecasting; Seasonal variability; Tropical
   variability}},
Keywords-Plus = {{NORTH AMERICAN TELECONNECTION; SOUTHERN OSCILLATION ENSO; EL-NINO;
   TROPICAL CONVECTION; ATMOSPHERIC CIRCULATION; LINEAR-RESPONSE; PACIFIC;
   SEA; PRECIPITATION; PATTERNS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{goss@stanford.edu}},
ResearcherID-Numbers = {{Diffenbaugh, Noah S/I-5920-2014
   }},
ORCID-Numbers = {{Diffenbaugh, Noah S/0000-0002-8856-4964
   Goss, Michael/0000-0003-2106-9210}},
Funding-Acknowledgement = {{National Science FoundationNational Science Foundation (NSF)
   {[}AGS-1401220, AGS-1455577, OPP-1723832]; U.S. Department of Energy,
   Office of Science, Biological and Environmental Research Program,
   Integrated Assessment Research ProgramUnited States Department of Energy
   (DOE) {[}DE-SC0016162]; Stanford UniversityStanford University}},
Funding-Text = {{This study is supported by National Science Foundation Grants
   AGS-1401220, AGS-1455577, and OPP-1723832; the U.S. Department of
   Energy, Office of Science, Biological and Environmental Research
   Program, Integrated Assessment Research Program, Grant DE-SC0016162; and
   Stanford University. We would also like to thank three anonymous
   reviewers, the European Centre for Medium-Range Weather Forecasts for
   providing us with the ERA-Interim reanalysis data that we used for the
   model climatology, and NOAA's Climate Prediction Center for providing
   the observed precipitation data.}},
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Number-of-Cited-References = {{29}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{J. Clim.}},
Doc-Delivery-Number = {{GS8BG}},
Unique-ID = {{ISI:000443930800002}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000440966900029,
Author = {Bai, Hongtao and Feng, Xiangyu and Hou, Huimin and He, Gang and Dong,
   Yan and Xu, He},
Title = {{Mapping inter-industrial CO2 flows within China}},
Journal = {{RENEWABLE \& SUSTAINABLE ENERGY REVIEWS}},
Year = {{2018}},
Volume = {{93}},
Pages = {{400-408}},
Month = {{OCT}},
Abstract = {{Like inter-regional CO2 leakages, good CO2 emission performances from
   downstream industries in the industrial chain often result in high
   direct levels of CO2 emissions in upstream sectors. Thus, it is
   necessary to rethink industrial carbon policies from the perspective of
   consumer responsibility. As the largest emitter of CO2 in the world,
   China has a very comprehensive industrial system. In this study, we
   traced fuel-related CO2 flows between 30 Chinese industrial sectors in
   2012 and explored the specificities of these flows on aggregate CO2
   emission abatement for the entire economy. Previous studies have focused
   on carbon abatement policies instituted by industries generating high
   direct CO2 emissions, but our results demonstrate that paying more
   attention to CO2 importers better limits the consumption of
   energy-intensive materials. The construction sector, a major CO2 flow
   destination because of the large-scale infrastructure required to
   support rapid urbanization in China, exhibits the greatest transfer of
   embodied CO2 from energy suppliers and from the producers of
   energy-intensive materials. Our sensitivity analysis indicates that the
   construction sector shows considerable carbon abatement potential, which
   is surprisingly much greater than what is feasible for most high-carbon
   industries. Shifting more attention to industries that consume large
   amounts of embodied CO2 may help achieve more cost-effective decreases
   in CO2 emissions in absolute terms.}},
Publisher = {{PERGAMON-ELSEVIER SCIENCE LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND}},
Type = {{Review}},
Language = {{English}},
Affiliation = {{Bai, HT (Corresponding Author), Nankai Univ, Coll Environm Sci \& Engn, Tianjin 300350, Peoples R China.
   He, G (Corresponding Author), SUNY Stony Brook, Coll Engn \& Appl Sci, Dept Technol \& Soc, Stony Brook, NY 11794 USA.
   Bai, Hongtao; Feng, Xiangyu; Hou, Huimin; Xu, He, Nankai Univ, Coll Environm Sci \& Engn, Tianjin 300350, Peoples R China.
   Bai, Hongtao, Nankai Univ, MOE Key Lab Pollut Proc \& Environm Criteria, Tianjin 300350, Peoples R China.
   Bai, Hongtao; He, Gang, SUNY Stony Brook, Coll Engn \& Appl Sci, Dept Technol \& Soc, Stony Brook, NY 11794 USA.
   Dong, Yan, Tech Univ Denmark, Dept Management Engn, Quantitat Sustainabil Assessment, DK-2800 Lyngby, Denmark.}},
DOI = {{10.1016/j.rser.2018.05.054}},
ISSN = {{1364-0321}},
Keywords = {{Carbon emissions embodied in trade; Inter-industrial carbon transfer;
   Hypothetical extraction method; Carbon abatement potential}},
Keywords-Plus = {{HYPOTHETICAL EXTRACTION METHOD; INPUT-OUTPUT-ANALYSIS; GLOBAL SUPPLY
   CHAINS; CARBON EMISSIONS; INTERNATIONAL-TRADE; ENERGY-CONSUMPTION;
   CONSTRUCTION-INDUSTRY; EMBODIED ENERGY; TRANSFERS; QUANTIFICATION}},
Research-Areas = {{Science \& Technology - Other Topics; Energy \& Fuels}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Energy \& Fuels}},
Author-Email = {{baiht@nankai.edu.cn
   Gang.He@stonybrook.edu}},
ResearcherID-Numbers = {{He, Gang/N-4549-2013
   }},
ORCID-Numbers = {{He, Gang/0000-0002-8416-1965
   Dong, Yan/0000-0001-8595-2868}},
Funding-Acknowledgement = {{Humanity and Social Science Youth Foundation of the Ministry of
   Education of China {[}17YJCZH002]; National Natural Science Foundation
   of ChinaNational Natural Science Foundation of China {[}41301648]; State
   Scholarship Fund of China {[}201606205026]}},
Funding-Text = {{This research is supported by the Humanity and Social Science Youth
   Foundation of the Ministry of Education of China (grant number
   17YJCZH002), the National Natural Science Foundation of China
   (41301648), the State Scholarship Fund of China (201606205026).}},
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Number-of-Cited-References = {{59}},
Times-Cited = {{13}},
Usage-Count-Last-180-days = {{9}},
Usage-Count-Since-2013 = {{36}},
Journal-ISO = {{Renew. Sust. Energ. Rev.}},
Doc-Delivery-Number = {{GP6DJ}},
Unique-ID = {{ISI:000440966900029}},
DA = {{2020-08-06}},
}

@article{ ISI:000442755700012,
Author = {Bateni, Mohammad Mehdi and Behmanesh, Javad and Bazrafshan, Javad and
   Rezaie, Hossein and De Michele, Carlo},
Title = {{Simple Short-Term Probabilistic Drought Prediction Using Mediterranean
   Teleconnection Information}},
Journal = {{WATER RESOURCES MANAGEMENT}},
Year = {{2018}},
Volume = {{32}},
Number = {{13}},
Pages = {{4345-4358}},
Month = {{OCT}},
Abstract = {{Timely forecasts of the onset or possible evolution of droughts is an
   important contribution to mitigate their manifold negative effects;
   therefore, in this paper, we propose a mathematically-simple drought
   forecasting framework gaining Mediterranean Sea temperature information
   (SST-M) to predict droughts. Agro-metrological drought index addressing
   seasonality and autocorrelation (AMDI-SA) was used in a Markov model in
   Umna lake basin, North West of Iran. Markov chain is adopted to model
   drought for joint occurrence of different classes of drought severity
   and sea surface temperature of Mediterranean Sea, which is called 2D
   Markov chain model. The proposed model, which benefits suitability of
   Markov chain models for modeling droughts, showed improvement results in
   prediction scores relative to classic Markov chain model not including
   SST-M information, additionally.}},
Publisher = {{SPRINGER}},
Address = {{VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Bateni, MM (Corresponding Author), Urmia Univ, Coll Agr, Dept Water Engn, Orumiyeh, Iran.
   Bateni, Mohammad Mehdi; Behmanesh, Javad; Rezaie, Hossein, Urmia Univ, Coll Agr, Dept Water Engn, Orumiyeh, Iran.
   Bazrafshan, Javad, Univ Tehran, Dept Irrigat \& Reclamat Engn, Karaj, Iran.
   De Michele, Carlo, Politecn Milan, Dept Civil \& Environm Engn DICA, Milan, Italy.}},
DOI = {{10.1007/s11269-018-2056-8}},
ISSN = {{0920-4741}},
EISSN = {{1573-1650}},
Keywords = {{Drought forecasting; Teleconnection; Markov model; Mediterranean sea;
   Model evaluation; Skill score}},
Keywords-Plus = {{FUZZY INFERENCE SYSTEM; UNITED-STATES; PRECIPITATION; RAINFALL; IRAN;
   CLIMATE; FRAMEWORK; PRODUCTS; EVENTS; FLOODS}},
Research-Areas = {{Engineering; Water Resources}},
Web-of-Science-Categories  = {{Engineering, Civil; Water Resources}},
Author-Email = {{bateni@urmia.ac.ir}},
ORCID-Numbers = {{Bateni, Mohammad Mehdi/0000-0002-4444-3239}},
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Number-of-Cited-References = {{45}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{10}},
Journal-ISO = {{Water Resour. Manag.}},
Doc-Delivery-Number = {{GR6JL}},
Unique-ID = {{ISI:000442755700012}},
DA = {{2020-08-06}},
}

@article{ ISI:000440960100010,
Author = {Dumitru, Oana A. and Onac, Bogdan P. and Polyak, Victor J. and Wynn,
   Jonathan G. and Asmerom, Yemane and Fornos, Joan J.},
Title = {{Climate variability in the western Mediterranean between 121 and 67 ka
   derived from a Mallorcan speleothem record}},
Journal = {{PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY}},
Year = {{2018}},
Volume = {{506}},
Pages = {{128-138}},
Month = {{OCT 1}},
Abstract = {{The western Mediterranean region is exceptionally vulnerable to
   predicted climate changes of increasing temperature and aridity.
   Characterizing past climate oscillations since the last interglacial
   (LIG) is critical to understand climate patterns during the present warm
   period. Here we present an accurately dated speleothem record (CAM-1) of
   paleoclimate between 121 and 67 ka from the island of Mallorca. The
   growth history combined with the isotopic record and mineral changes,
   provides evidence of dramatic climatic shifts in the western
   Mediterranean. Isotopic equilibrium deposition was assessed by Hendy
   tests and by comparing the 8180 in modern drip water with newly
   precipitated calcite. We argue that variability of 8180 in CAM-1 is
   mainly related to changes in source of precipitation, whereas high delta
   C-13 values reflect a dry climate. Calcite rather than aragonite growth
   is related to cooler, drier climate. The MIS 5e/5d transition, C24, C23,
   and C21 cold events concomitantly recorded in CAM-1, ODP 984, and NGRIP
   highlights the teleconnection between high and mid latitudes in the
   Northern Hemisphere. Our record reveals a prolonged aridity during MIS
   5c and a sudden climate shift from drier to wetter conditions beginning
   with MIS 5b. A growth hiatus at 67 to 53 ka probably marks the driest
   period, after which slow calcite growth indicates markedly drier climate
   during the last glacial and Holocene than during MIS 5. Many of the
   significant changes in growth rates and stable isotopic composition are
   synchronous with events that are likely driven by regional climate and
   large circulation patterns linked to the North Atlantic.}},
Publisher = {{ELSEVIER}},
Address = {{RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Onac, BP (Corresponding Author), Univ S Florida, Sch Geosci, 4202 E Fowler Ave,NES 107, Tampa, FL 33620 USA.
   Dumitru, Oana A.; Onac, Bogdan P.; Wynn, Jonathan G., Univ S Florida, Sch Geosci, Karst Res Grp, 4202 E Fowler Ave,NES 107, Tampa, FL 33620 USA.
   Dumitru, Oana A.; Onac, Bogdan P., Babes Bolyai Univ, Dept Geol, Kogalniceanu 1, Cluj Napoca 400084, Romania.
   Polyak, Victor J.; Asmerom, Yemane, Univ New Mexico, Dept Earth \& Planetary Sci, 200 Yale Blvd,Nothrop Hall, Albuquerque, NM 87131 USA.
   Fornos, Joan J., Univ Illes Balears, Dept Biol, Earth Sci Geol \& Paleontol Guillem Colom Res Grp, Crta Valldemossa Km 7-5, Palma De Mallorca 07122, Mallorca, Spain.
   Wynn, Jonathan G., Natl Sci Fdn, 2415 Eisenhower Ave, Alexandria, VA 22314 USA.}},
DOI = {{10.1016/j.palaeo.2018.06.028}},
ISSN = {{0031-0182}},
EISSN = {{1872-616X}},
Keywords = {{Stalagmite; Stable isotopes; U-series ages; Paleoclimate; Campanet Cave}},
Keywords-Plus = {{LAST GLACIAL PERIOD; SEA-LEVEL; PALEOCLIMATE VARIABILITY; ISOTOPIC
   COMPOSITION; NORTH-ATLANTIC; MULTI-PROXY; MARINE; EASTERN;
   PRECIPITATION; BASIN}},
Research-Areas = {{Physical Geography; Geology; Paleontology}},
Web-of-Science-Categories  = {{Geography, Physical; Geosciences, Multidisciplinary; Paleontology}},
Author-Email = {{bonac@usf.edu}},
ResearcherID-Numbers = {{Onac, Bogdan P./F-9061-2010
   Fornos, Joan J/E-1673-2012
   }},
ORCID-Numbers = {{Onac, Bogdan P./0000-0003-2332-6858
   Fornos, Joan J/0000-0002-3131-1085
   Dumitru, Oana-Alexandra/0000-0001-9901-5621}},
Funding-Acknowledgement = {{European Social FundEuropean Social Fund (ESF)
   {[}POSDRU/159/1.5/S/132400]; NSFNational Science Foundation (NSF)
   {[}AGS-1103108]; MINECO {[}CGL2013-48441-P, CGL2016-79246-P]}},
Funding-Text = {{This paper is a result of a research made possible by the financial
   support of the Sectoral Operational Programme for Human Resources
   Development 2007-2013, co-financed by the European Social Fund, under
   the project POSDRU/159/1.5/S/132400 - ``Young successful researchers -
   professional development in an international and interdisciplinary
   environment{''}. NSF (AGS-1103108) and MINECO (CGL2013-48441-P and
   CGL2016-79246-P AEI/FEDER, UE) grants to BPO and JJF also supported
   parts of this work. We are thankful to the owner and the guides at
   Campanet Cave for granting permission and assistance during the study.}},
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Number-of-Cited-References = {{87}},
Times-Cited = {{5}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{13}},
Journal-ISO = {{Paleogeogr. Paleoclimatol. Paleoecol.}},
Doc-Delivery-Number = {{GP6AU}},
Unique-ID = {{ISI:000440960100010}},
DA = {{2020-08-06}},
}

@article{ ISI:000441512600002,
Author = {Li, Xinyu and Lu, Riyu},
Title = {{Subseasonal Change in the Seesaw Pattern of Precipitation between the
   Yangtze River Basin and the Tropical Western North Pacific during Summer}},
Journal = {{ADVANCES IN ATMOSPHERIC SCIENCES}},
Year = {{2018}},
Volume = {{35}},
Number = {{10}},
Pages = {{1231-1242}},
Month = {{OCT}},
Abstract = {{There is a well-known seesaw pattern of precipitation between the
   tropical western North Pacific (WNP) and the Yangtze River basin (YRB)
   during summer. This study identified that this out-of-phase relationship
   experiences a subseasonal change; that is, the relationship is strong
   during early summer but much weaker during mid-summer. We investigated
   the large-scale circulation anomalies responsible for the YRB rainfall
   anomalies on the subseasonal timescale. It was found that the YRB
   rainfall is mainly affected by the tropical circulation anomalies during
   early summer, i.e., the anticyclonic or cyclonic anomaly over the
   subtropical WNP associated with the precipitation anomalies over the
   tropical WNP. During mid-summer, the YRB rainfall is mainly affected by
   the extratropical circulation anomalies in both the lower and upper
   troposphere. In the lower troposphere, the northeasterly anomaly north
   of the YRB favors heavier rainfall over the YRB by intensifying the
   meridional gradient of the equivalent potential temperature over the
   YRB. In the upper troposphere, the meridional displacement of the Asian
   westerly jet and the zonally oriented teleconnection pattern along the
   jet also affect the YRB rainfall. The subseasonal change in the WNP-YRB
   precipitation relationship illustrated by this study has important
   implications for the subseasonalto- seasonal forecasting of the YRB
   rainfall.}},
Publisher = {{SCIENCE PRESS}},
Address = {{16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Lu, RY (Corresponding Author), Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci \& Geop, Beijing 100029, Peoples R China.
   Lu, RY (Corresponding Author), Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   Li, Xinyu; Lu, Riyu, Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci \& Geop, Beijing 100029, Peoples R China.
   Li, Xinyu; Lu, Riyu, Univ Chinese Acad Sci, Beijing 100049, Peoples R China.}},
DOI = {{10.1007/s00376-018-7304-6}},
ISSN = {{0256-1530}},
EISSN = {{1861-9533}},
Keywords = {{Yangtze River basin; tropical western North Pacific; precipitation;
   subseasonal change}},
Keywords-Plus = {{MERIDIONAL TELECONNECTION; INTERANNUAL VARIABILITY; EAST-ASIA; SEASONAL
   PREDICTABILITY; MONSOON SYSTEM; BAIU FRONT; RAINFALL; JET; CLIMATE;
   DISPLACEMENT}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{lr@mail.iap.ac.cn}},
ResearcherID-Numbers = {{Li, Lambert LL/F-7146-2015}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}41320104007]}},
Funding-Text = {{We thank Dr. Yunhuan HAN and Ms. Yawen DUAN for offering the screened
   daily station rainfall data. We also thank the two anonymous reviewers
   for their comments, which were helpful in improving the presentation.
   This work was supported by the National Natural Science Foundation of
   China (Grant No. 41320104007).}},
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Number-of-Cited-References = {{67}},
Times-Cited = {{7}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{22}},
Journal-ISO = {{Adv. Atmos. Sci.}},
Doc-Delivery-Number = {{GQ2UD}},
Unique-ID = {{ISI:000441512600002}},
DA = {{2020-08-06}},
}

@article{ ISI:000441232700002,
Author = {Chen, Guosen and Wang, Bin},
Title = {{Effects of Enhanced Front Walker Cell on the Eastward Propagation of the
   MJO}},
Journal = {{JOURNAL OF CLIMATE}},
Year = {{2018}},
Volume = {{31}},
Number = {{19}},
Pages = {{7719-7738}},
Month = {{OCT}},
Abstract = {{Well-organized eastward propagation of the Madden-Julian oscillation
   (MJO) is found to be accompanied by the leading suppressed convection
   (LSC) over the Maritime Continent (MC) and the western Pacific (WP) when
   the MJO convection is in the Indian Ocean (IO). However, it remains
   unclear how the LSC influences the MJO and what causes the LSC. The
   present study shows that the LSC is a prevailing precursor for eastward
   propagation of the MJO across the MC. The LSC enhances the coupling of
   IO convection and the Walker cell to its east {[}front Walker cell
   (FWC)] by increasing the zonal heating gradient. The enhanced FWC
   strengthens the low-level easterly, which increases boundary layer (BL)
   convergence and promotes congestus convection to the east of the deep
   convection; the enhanced congestus convection preconditions the lower to
   middle atmosphere, which further promotes the transition from congestus
   to deep convection and leads to eastward propagation of the MJO. The MJO
   ceases eastward propagation once the FWC decouples from it. Further
   analysis reveals that LSC has two major origins: one comes from the
   eastward propagation of the preceding IO dry phase associated with the
   MJO, and the other develops concurrently with the IO convection. In the
   latter case, the development of the LSC is brought about by a two-way
   interaction between the MJO's tropical heating and the associated
   tropical-extratropical teleconnection: the preceding IO suppressed
   convection induces a tropical-extratropical teleconnection, which
   evolves and forms an anomalous western North Pacific cyclone that
   generates upper-level convergence and induces significant LSC.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Chen, GS (Corresponding Author), Nanjing Univ Informat Sci \& Technol, Earth Syst Modeling Ctr, Nanjing, Jiangsu, Peoples R China.
   Chen, GS (Corresponding Author), Univ Hawaii Manoa, Dept Atmospher Sci, Honolulu, HI 96822 USA.
   Chen, GS (Corresponding Author), Univ Hawaii Manoa, Atmosphere Ocean Res Ctr, Honolulu, HI 96822 USA.
   Chen, Guosen; Wang, Bin, Nanjing Univ Informat Sci \& Technol, Earth Syst Modeling Ctr, Nanjing, Jiangsu, Peoples R China.
   Chen, Guosen; Wang, Bin, Univ Hawaii Manoa, Dept Atmospher Sci, Honolulu, HI 96822 USA.
   Chen, Guosen; Wang, Bin, Univ Hawaii Manoa, Atmosphere Ocean Res Ctr, Honolulu, HI 96822 USA.}},
DOI = {{10.1175/JCLI-D-17-0383.1}},
ISSN = {{0894-8755}},
EISSN = {{1520-0442}},
Keywords = {{Convection; Madden-Julian oscillation; Walker circulation}},
Keywords-Plus = {{MADDEN-JULIAN OSCILLATION; INTRASEASONAL CONVECTION ANOMALIES; TROPICAL
   CONVECTION; CUMULUS CONVECTION; MARITIME CONTINENT; EVENTS; SYSTEM;
   CIRCULATION; DYNAMICS; PACIFIC}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{chenguos@hawaii.edu}},
ResearcherID-Numbers = {{Chen, Guosen/J-4226-2013}},
ORCID-Numbers = {{Chen, Guosen/0000-0002-7584-7041}},
Funding-Acknowledgement = {{Public Science and Technology Research Funds Project of Ocean
   {[}201505013]; National Natural Science Foundation of ChinaNational
   Natural Science Foundation of China {[}41420104002]; National Key
   Research and Development Program of China {[}2016YFA0600401];
   NSF/Climate Dynamics Award {[}AGS-1540783]; NOAA/CVPNational Oceanic
   Atmospheric Admin (NOAA) - USA {[}NA15OAR4310177]; Atmosphere-Ocean
   Research Center - Nanjing University of Information Science and
   Technology; University of Hawaii}},
Funding-Text = {{We thank the four anonymous reviewers for their careful reviews and
   invaluable suggestions, which greatly improved the quality of this
   manuscript. This work is jointly supported by the Public Science and
   Technology Research Funds Project of Ocean (201505013) the National
   Natural Science Foundation of China (Grant 41420104002), the National
   Key Research and Development Program of China (Grant 2016YFA0600401),
   the NSF/Climate Dynamics Award AGS-1540783, the NOAA/CVP Award
   NA15OAR4310177, and the Atmosphere-Ocean Research Center sponsored by
   the Nanjing University of Information Science and Technology and
   University of Hawaii. This is the School of Ocean and Earth Science and
   Technology Publication Number 10410, International Pacific Research
   Center Publication Number 1325, and Earth System Modeling Center
   Publication Number 223.}},
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Number-of-Cited-References = {{40}},
Times-Cited = {{8}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{13}},
Journal-ISO = {{J. Clim.}},
Doc-Delivery-Number = {{GP9JG}},
Unique-ID = {{ISI:000441232700002}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000438005100015,
Author = {Santiago, Jose L. and Suris-Regueiro, Juan C.},
Title = {{An applied method for assessing socioeconomic impacts of European
   fisheries quota-based management}},
Journal = {{FISHERIES RESEARCH}},
Year = {{2018}},
Volume = {{206}},
Pages = {{150-162}},
Month = {{OCT}},
Abstract = {{Fishing activity is conditioned by diverse factors that determine and
   limit the capacity of fishermen to decide on their level of production
   (i.e., the fisheries output is determined exogenously). In the context
   of the input-output analysis, models have been developed that permit the
   assessment of socioeconomic impacts of an activity, but almost always
   from a perspective where demand is the driving force of the economy.
   Procedures have recently been developed to measure impacts in which both
   the existence of sectors subject to exogenous supply shocks and the
   existence of forward linkages with other sectors of the same economy are
   considered. The objective of this study is the application of this new
   methodology for the analysis of a specific case: fishing activity in
   Galicia (NW Spain). The socioeconomic impacts linked to the
   determination of annual fishing quotas by species for major fleet
   segments managed by European Union are quantified. This procedure is
   should be potentially be very useful as a fishing management tool. It
   provides more accurate estimations of the possible socioeconomic impacts
   of catch limitations and gives detailed information on the sectoral and
   spatial distribution of these impacts on the economy.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Suris-Regueiro, JC (Corresponding Author), Univ Vigo, ERENEA ECOBAS, Vigo, Galicia, Spain.
   Suris-Regueiro, JC (Corresponding Author), Univ Vigo, Dept Appl Econ, Vigo, Galicia, Spain.
   Suris-Regueiro, JC (Corresponding Author), Univ Vigo, Fac Ciencias Econ \& Empresariais, Dept Appl Econ, Vigo 36310, Galicia, Spain.
   Santiago, Jose L., Fdn CETMAR, Ctr Tecnol Mar, Fisheries Socioecon Dept, Vigo, Galicia, Spain.
   Suris-Regueiro, Juan C., Univ Vigo, ERENEA ECOBAS, Vigo, Galicia, Spain.
   Suris-Regueiro, Juan C., Univ Vigo, Dept Appl Econ, Vigo, Galicia, Spain.
   Santiago, Jose L., Ctr Tecnol Mar CETMAR, Eduardo Cabello S-N, Vigo 36208, Galicia, Spain.
   Suris-Regueiro, Juan C., Univ Vigo, Fac Ciencias Econ \& Empresariais, Dept Appl Econ, Vigo 36310, Galicia, Spain.}},
DOI = {{10.1016/j.fishres.2018.05.010}},
ISSN = {{0165-7836}},
EISSN = {{1872-6763}},
Keywords = {{Input-output; Fisheries regulations; Socioeconomic impacts; Galicia}},
Keywords-Plus = {{INPUT-OUTPUT MODEL; GENERAL EQUILIBRIUM-ANALYSIS; ECONOMIC-IMPACTS;
   CLIMATE-CHANGE; GHOSH MODEL; ENVIRONMENTAL IMPACTS; GALICIA SPAIN;
   MULTIPLIERS; RESILIENCE; INOPERABILITY}},
Research-Areas = {{Fisheries}},
Web-of-Science-Categories  = {{Fisheries}},
Author-Email = {{jose-luis-santiago@uvigo.es
   jsuris@uvigo.es}},
ResearcherID-Numbers = {{Santiago, Jose L./L-4797-2019}},
ORCID-Numbers = {{Santiago, Jose L./0000-0002-1379-9478}},
Funding-Acknowledgement = {{European Regional Development Fund (ERDF)European Union (EU); Xunta de
   GaliciaXunta de Galicia {[}GRC2014/022, AGRUP2015/08]; Spain's Ministry
   of Economy and Competitiveness {[}ECO2014-52412-R]}},
Funding-Text = {{We wish to acknowledge the financial support received from the European
   Regional Development Fund (ERDF), the Xunta de Galicia {[}GRC2014/022
   and AGRUP2015/08] and Spain's Ministry of Economy and Competitiveness
   {[}ECO2014-52412-R]. We are also grateful to two anonymous reviewers for
   numerous constructive suggestions.}},
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Number-of-Cited-References = {{52}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{20}},
Journal-ISO = {{Fish Res.}},
Doc-Delivery-Number = {{GM3LC}},
Unique-ID = {{ISI:000438005100015}},
DA = {{2020-08-06}},
}

@article{ ISI:000446136600001,
Author = {Brauers, Willem K. M.},
Title = {{Location Theory and Multi-Criteria Decision Making: An Application of
   the MOORA Method}},
Journal = {{CONTEMPORARY ECONOMICS}},
Year = {{2018}},
Volume = {{12}},
Number = {{3}},
Pages = {{241-252}},
Month = {{SEP 30}},
Abstract = {{The first systematic research on Location Theory dates back to 1826.
   Quantitative approaches came much later. On the supply side extensive
   Input-Output Tables can be mentioned and on the demand side the
   optimization by Multi-Criteria Decision Making. The advantages of
   Input-Output Tables for location opportunities on a regional and urban
   basis have to be emphasized, whereas the link is made between
   Input-Output and Multi-Criteria Optimization. MOORA, Multi Objective
   Optimization by Ratio Analysis, is composed of two methods: Ratio
   Analysis and Reference Point Theory and responds to the different
   conditions of robustness needed for optimization. This approach attempts
   to localize in an optimal way a certain project facing different
   indicators, criteria or objectives sometimes originating from different
   groups or individuals. Here however type and importance of objectives
   and alternatives were only simulated. The real stakeholders to be
   considered are rather the national and local authorities, the
   contributing firms and their personnel. In the production sphere
   consumer sovereignty was only indirectly Involved. If consumers, via
   consumer organization and trade unions, were directly Involved, other
   claims could emerge. The simulation used was limited in its
   applications. Clearly if this simulation has no practical consequences,
   it still provides a learning experience with the use of the MOORA Method
   in its double composition.}},
Publisher = {{VIZJA PRESS \& IT}},
Address = {{UL DZIELNA 60, WARSZAWA, 01-029, POLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Brauers, WKM (Corresponding Author), Univ Antwerp, Dept Econ, Prinsstr 13, B-2000 Antwerp, Belgium.
   Brauers, Willem K. M., Univ Antwerp, Dept Econ, Prinsstr 13, B-2000 Antwerp, Belgium.
   Brauers, Willem K. M., Vilnius Gediminas Tech Univ, Vilnius, Lithuania.}},
DOI = {{10.5709/ce.1897-9254.275}},
ISSN = {{2084-0845}},
Keywords = {{Location Theory; Input-Output Analysis; MOORA; MULTIMOORA; Objectives;
   Alternatives; Simulation; Ratio Analysis; Reference Point Method}},
Keywords-Plus = {{MULTIMOORA; ECONOMY; MODEL}},
Research-Areas = {{Business \& Economics}},
Web-of-Science-Categories  = {{Economics}},
Author-Email = {{willern.brauers@uant.werpen.be}},
Cited-References = {{Adler H. A., 1967, 4 INT BANK REC DEV.
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Number-of-Cited-References = {{31}},
Times-Cited = {{3}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{7}},
Journal-ISO = {{Contemp. Econ.}},
Doc-Delivery-Number = {{GV5JC}},
Unique-ID = {{ISI:000446136600001}},
OA = {{DOAJ Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000447807300022,
Author = {Kim, Sunyong and Kug, Jong-Seong},
Title = {{What Controls ENSO Teleconnection to East Asia? Role of Western North
   Pacific Precipitation in ENSO Teleconnection to East Asia}},
Journal = {{JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES}},
Year = {{2018}},
Volume = {{123}},
Number = {{18}},
Pages = {{10387-10403}},
Month = {{SEP 27}},
Abstract = {{There are distinct impacts of anomalous tropical forcings associated
   with the El Nino-Southern Oscillation (ENSO) on the climate in East Asia
   via an atmospheric teleconnection. In this study, the intrawinter
   changes in the atmospheric teleconnection and its regional impacts
   associated with ENSO are investigated using data from 386 weather
   stations throughout Korea, China, and Japan. It has recently been shown
   that the relative roles of western North Pacific (WNP) and equatorial
   central Pacific (CP) precipitation anomalies play an important role in
   determining the ENSO teleconnection in the North Pacific. Here we show
   that the ENSO impacts over East Asia can also be largely explained by a
   combination of WNP and equatorial CP forcing. Further, the diverse
   regional impacts among different ENSO events can be explained to a large
   extent by the relative roles of the WNP and equatorial CP precipitation.
   Analyses from state-of-the-art coupled model simulations from the
   Coupled Model Intercomparison Project Phase 5 archive support these
   observational arguments.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Kug, JS (Corresponding Author), Pohang Univ Sci \& Technol POSTECH, Div Environm Sci \& Engn, Pohang, South Korea.
   Kim, Sunyong; Kug, Jong-Seong, Pohang Univ Sci \& Technol POSTECH, Div Environm Sci \& Engn, Pohang, South Korea.}},
DOI = {{10.1029/2018JD028935}},
ISSN = {{2169-897X}},
EISSN = {{2169-8996}},
Keywords = {{ENSO; teleconnection; regional impacts; East Asia; CMIP5}},
Keywords-Plus = {{EL-NINO; LA-NINA; ASYMMETRY; VARIABILITY; ATMOSPHERE; ANOMALIES;
   EVOLUTION; EVENTS; CMIP5}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{jskug1@gmail.com}},
ORCID-Numbers = {{KUG, JONG-SEONG/0000-0003-2251-2579}},
Funding-Acknowledgement = {{Korea Meteorological Administration Research and Development Program
   {[}KMIPA 2018-03212]; National Research Foundation of KoreaNational
   Research Foundation of Korea {[}NRF-2018R1A5A1024958]}},
Funding-Text = {{The monthly temperature and precipitation data at weather stations were
   provided by the BCC, KMA, and JMA, from their website at
   http://bcc.ncc-cma.net/, http://www.kma.go.kr/and http://www.jma.go.jp/,
   respectively. The atmospheric variables by NCEP/NCAR reanalysis,
   precipitation data by CPC Merged Analysis of Precipitation, and SST data
   by Extended Reconstructed Sea Surface Temperature version 3 were
   obtained from https://www.esrl.noaa.gov/psd/.The CMIP5 multimodel
   ensemble data set used in this study were available from the CMIP5
   website at http://cmip-pcmdi.iini.gov/cmip5/.This study is supported by
   the Korea Meteorological Administration Research and Development Program
   under grant KMIPA 2018-03212 and the National Research Foundation of
   Korea (NRF-2018R1A5A1024958).}},
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