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Number-of-Cited-References = {{33}},
Times-Cited = {{6}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{2}},
Journal-ISO = {{Sci Rep}},
Doc-Delivery-Number = {{GA8VI}},
Unique-ID = {{ISI:000428618900027}},
OA = {{DOAJ Gold, Green Published}},
DA = {{2020-08-06}},
}

@article{ ISI:000430106000029,
Author = {Jun, Sang-Yoon and Choi, Suk-Jin and Kim, Baek-Min},
Title = {{Dynamical Core in Atmospheric Model Does Matter in the Simulation of
   Arctic Climate}},
Journal = {{GEOPHYSICAL RESEARCH LETTERS}},
Year = {{2018}},
Volume = {{45}},
Number = {{6}},
Pages = {{2805-2814}},
Month = {{MAR 28}},
Abstract = {{Climate models using different dynamical cores can simulate
   significantly different winter Arctic climates even if equipped with
   virtually the same physics schemes. Current climate simulated by the
   global climate model using cubed-sphere grid with spectral element
   method (SE core) exhibited significantly warmer Arctic surface air
   temperature compared to that using latitude-longitude grid with finite
   volume method core. Compared to the finite volume method core, SE core
   simulated additional adiabatic warming in the Arctic lower atmosphere,
   and this was consistent with the eddy-forced secondary circulation.
   Downward longwave radiation further enhanced Arctic near-surface warming
   with a higher surface air temperature of about 1.9K. Furthermore, in the
   atmospheric response to the reduced sea ice conditions with the same
   physical settings, only the SE core showed a robust cooling response
   over North America. We emphasize that special attention is needed in
   selecting the dynamical core of climate models in the simulation of the
   Arctic climate and associated teleconnection patterns.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Kim, BM (Corresponding Author), Korea Polar Res Inst, Incheon, South Korea.
   Jun, Sang-Yoon; Kim, Baek-Min, Korea Polar Res Inst, Incheon, South Korea.
   Choi, Suk-Jin, Korea Inst Atmospher Predict Syst, Seoul, South Korea.}},
DOI = {{10.1002/2018GL077478}},
ISSN = {{0094-8276}},
EISSN = {{1944-8007}},
Keywords = {{Arctic climate; dynamical core; climate modeling; cubed-sphere grid;
   latitude-longitude grid}},
Keywords-Plus = {{SEA-SURFACE TEMPERATURE; EARTH SYSTEM MODEL; CHANGE PROJECTIONS;
   TROPICAL CYCLONES; COUPLED MODEL; NORTH-AMERICA; COLD WINTERS; ICE;
   CONFIGURATION; VARIABILITY}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary}},
Author-Email = {{bmkim@kopri.re.kr}},
ORCID-Numbers = {{Jun, Sang-Yoon/0000-0003-2829-0081
   Choi, Suk-Jin/0000-0002-1897-1070}},
Funding-Acknowledgement = {{``Development and Application of the Korea Polar Prediction System
   (KPOPS) for Climate Change and Weather Disaster{''} project of the Korea
   Polar Research Institute {[}PE18130]; R\&D project on the development of
   global numerical weather prediction systems of Korea Institute of
   Atmospheric Prediction Systems (KIAPS) - Korea Meteorological
   Administration (KMA)}},
Funding-Text = {{S.-Y. Jun and B.-M. Kim are supported by ``Development and Application
   of the Korea Polar Prediction System (KPOPS) for Climate Change and
   Weather Disaster (PE18130){''} project of the Korea Polar Research
   Institute. S.-J. Choi is supported by the R\&D project on the
   development of global numerical weather prediction systems of Korea
   Institute of Atmospheric Prediction Systems (KIAPS) funded by Korea
   Meteorological Administration (KMA). All data are freely and publicly
   available as follows: ERA-Interim (http://apps.ecmwf.int/datasets),
   CMIP5 (http://esgfnode.llnl.gov/search/cmip5/), CFSR
   (https://www.ncdc.noaa.gov/dataaccess/model-data\#cfsr), and MERRA
   (https://gmao.gsfc.nasa.gov/reanalysis/MERRA/).}},
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Number-of-Cited-References = {{76}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{5}},
Journal-ISO = {{Geophys. Res. Lett.}},
Doc-Delivery-Number = {{GC9GR}},
Unique-ID = {{ISI:000430106000029}},
DA = {{2020-08-06}},
}

@article{ ISI:000429078400002,
Author = {Akasaka, Ikumi and Kubota, Hisayuki and Matsumoto, Jun and Cayanan,
   Esperanza O. and de Guzman, Rosalina G. and Hilario, Flaviana D.},
Title = {{Seasonal march patterns of the summer rainy season in the Philippines
   and their long-term variability since the late twentieth century}},
Journal = {{PROGRESS IN EARTH AND PLANETARY SCIENCE}},
Year = {{2018}},
Volume = {{5}},
Month = {{MAR 26}},
Abstract = {{This study investigates the seasonal march patterns of rainfall in the
   Philippines from 1951 to 2012 and their long-term variability. In order
   to clarify the dominant patterns in the seasonal march of rainfall, an
   empirical orthogonal function (EOF) analysis was applied to pentad
   rainfall data of 30 stations. For the first EOF mode (EOF1), we obtained
   a pattern related to the summer rainy season. We then applied cluster
   analysis to the time coefficients of EOF1 in each year to classify the
   seasonal patterns of the summer rainy season. As a result, the patterns
   were classified into six clusters. We found a long-term change in the
   pattern appearances with three anomalous patterns frequently observed
   since the 1990s: (1) a pattern that has an indistinct dry season and a
   prolonged peak rainfall, (2) a pattern that has a distinct dry season
   and an earlier withdrawal of the summer rainy season, resulting in a
   shortened rainy season, and (3) a pattern with a distinct dry season as
   well as delayed onset and withdrawal of the summer rainy season. This
   study also shows the relations between these three patterns and the
   lower atmospheric circulation at the 850 hPa level around the
   Philippines. Consequently, large positive and negative anomalies in
   geopotential height were observed around the Philippines for the
   distinct and indistinct dry seasons, respectively. The duration and
   condition of the dry season were greatly affected by the strength and
   location of the subtropical high especially for February-March. It is
   also noteworthy that the timing of the onset (withdrawal) of the summer
   rainy season is clearly related to that of the onset of the westerly
   (northerly) wind in the zonal (meridional) component around the
   Philippines. Further, the duration and amount of peak rainfall were
   directly influenced by the strength of the westerly winds in the zonal
   component. These three anomalous patterns tended to appear in the years
   when the warm or cold event of the El Nino-Southern Oscillation (ENSO)
   occurred. This study suggests that the long-term variability in the
   seasonal march of rainfall is considerably influenced by the variability
   in ENSO.}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Akasaka, I (Corresponding Author), Senshu Univ, Dept Geog, Tama Ku, 2-1-1 Higashi Mita, Kawasaki, Kanagawa 2148580, Japan.
   Akasaka, Ikumi, Senshu Univ, Dept Geog, Tama Ku, 2-1-1 Higashi Mita, Kawasaki, Kanagawa 2148580, Japan.
   Kubota, Hisayuki, Hokkaido Univ, Kita Ku, Kita 10,Nishi 8, Sapporo, Hokkaido 0600808, Japan.
   Matsumoto, Jun, Tokyo Metropolitan Univ, Dept Geog, 1-1 Minami Osawa, Hachioji, Tokyo 1920397, Japan.
   Matsumoto, Jun, Japanese Agcy Marine Earth Sci \& Technol, Dept Coupled Ocean Atmosphere Land Proc Res, Yokosuka, Kanagawa 2370061, Japan.
   Cayanan, Esperanza O.; de Guzman, Rosalina G.; Hilario, Flaviana D., Philippine Atmospher Geophys \& Astron Serv Adm, Sci Garden Complex, Quezon City 1101, Philippines.}},
DOI = {{10.1186/s40645-018-0178-5}},
Article-Number = {{20}},
ISSN = {{2197-4284}},
Keywords = {{Summer rainy season; Seasonal march; Philippines; Long-term variability;
   El Nino-Southern Oscillation}},
Keywords-Plus = {{SOUTHWEST MONSOON RAINFALL; WESTERN NORTH PACIFIC; TROPICAL CYCLONES;
   ENSO; TELECONNECTION}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary}},
Author-Email = {{akasaka-i@isc.senshu-u.ac.jp}},
ORCID-Numbers = {{Kubota, Hisayuki/0000-0003-0693-1618}},
Funding-Acknowledgement = {{Green Network of Excellence program; Data Integration and Analysis
   System through the National Key Technology, Marine Earth Observation
   Exploration System of Ministry of Education, Culture, Sports, Science
   and Technology, Japan; JSPS KAKENHI of the MEXT {[}26220202, 15K16283];
   Tokyo Human Resources Fund of Tokyo Metropolitan University from the
   Tokyo Metropolitan Government}},
Funding-Text = {{This research was supported by the Green Network of Excellence program
   and the Data Integration and Analysis System through the National Key
   Technology, Marine Earth Observation Exploration System of Ministry of
   Education, Culture, Sports, Science and Technology, Japan. This research
   was also supported in part by the JSPS KAKENHI Grant-in-Aid for
   Scientific Research of the MEXT 26220202 (Leader: Jun Matsumoto) and
   15K16283 (Leader: Ikumi Akasaka). JM was supported by the Tokyo Human
   Resources Fund of Tokyo Metropolitan University from the Tokyo
   Metropolitan Government.}},
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Number-of-Cited-References = {{28}},
Times-Cited = {{4}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{1}},
Journal-ISO = {{Prog. Earth Planet. Sci.}},
Doc-Delivery-Number = {{GB5BW}},
Unique-ID = {{ISI:000429078400002}},
OA = {{DOAJ Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000425558600026,
Author = {Wei, Wendong and Wu, Xudong and Li, Jiashuo and Jiang, Xingyan and
   Zhang, Pu and Zhou, Sili and Zhu, He and Liu, Hezi and Chen, Hanping and
   Guo, Jinlan and Chen, Guoqian},
Title = {{Ultra-high voltage network induced energy cost and carbon emissions}},
Journal = {{JOURNAL OF CLEANER PRODUCTION}},
Year = {{2018}},
Volume = {{178}},
Pages = {{276-292}},
Month = {{MAR 20}},
Abstract = {{To mirror an important aspect of ultra-high voltage network development,
   the remarkable amount of energy cost and carbon emissions of a typical
   ultra-high voltage transformer substation in China is revealed, in light
   of the hybrid method as the integration of input-output analysis and
   process analysis. By inclusively inventorying all the input items as
   products of the economy, the study differs from previous studies that
   simply treat the input items as some primary materials. The results show
   that the total energy cost and carbon emissions of 1000 kV transformer
   substation are 6.82E+09 MJ and 7.12E+05 t CO2 eq., respectively.
   Equipment purchasing contributes more than 80\% to the overall energy
   cost and carbon emissions, followed by construction engineering,
   additional service and installation engineering. From the sectoral
   perspective, Manufacture of equipment for power transmission and
   distribution and control sector (Sector 78) dominates the energy cost
   and carbon emissions induced by 1000 kV transformer substation, followed
   by Construction industry (Sector 95). The comparison and analysis
   between current research and previous studies in different countries and
   different voltages is clearly discussed. This study not only enhances
   our understanding about the impact of ultra-high voltage network on
   energy and environment, but also provides insights for energy
   conservation and low carbon development. (C) 2017 Elsevier Ltd. All
   rights reserved.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Chen, GQ (Corresponding Author), Peking Univ, Coll Engn, Lab Syst Ecol \& Sustainabil Sci, Beijing 100871, Peoples R China.
   Li, JS (Corresponding Author), Huazhong Univ Sci \& Technol, Sch Energy \& Power Engn, State Key Lab Coal Combust, Wuhan 430074, Hubei, Peoples R China.
   Wei, Wendong; Jiang, Xingyan, Univ Shanghai Sci \& Technol, Business Sch, Shanghai 200093, Peoples R China.
   Wu, Xudong; Guo, Jinlan; Chen, Guoqian, Peking Univ, Coll Engn, Lab Syst Ecol \& Sustainabil Sci, Beijing 100871, Peoples R China.
   Li, Jiashuo; Zhang, Pu; Zhou, Sili; Chen, Hanping, Huazhong Univ Sci \& Technol, Sch Energy \& Power Engn, State Key Lab Coal Combust, Wuhan 430074, Hubei, Peoples R China.
   Li, Jiashuo; Chen, Hanping, Huazhong Univ Sci \& Technol, Sch Energy \& Power Engn, Dept New Energy Sci \& Engn, Wuhan 430074, Hubei, Peoples R China.
   Zhu, He, Chinese Acad Sci, Inst Geog Sci \& Nat Resources Res, Beijing 100101, Peoples R China.
   Liu, Hezi, China Univ Petr, Coll Mech \& Transportat Engn, Beijing 102249, Peoples R China.}},
DOI = {{10.1016/j.jclepro.2017.12.175}},
ISSN = {{0959-6526}},
EISSN = {{1879-1786}},
Keywords = {{Ultra-high voltage network; Transformer substation; Energy cost; Carbon
   emissions}},
Keywords-Plus = {{LIFE-CYCLE ASSESSMENT; POWER TRANSMISSION; ELECTRICITY TRANSMISSION;
   TECHNOLOGIES; CONSUMPTION; SYSTEMS; IMPACT; INFRASTRUCTURE; INVESTMENT;
   OVERHEAD}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{lijiashuo@hustedu.cn
   gqchen@pku.edu.cn}},
ResearcherID-Numbers = {{Li, Jiashuo/K-5809-2013
   （陈国谦）, Guoqian Chen/B-5407-2012}},
ORCID-Numbers = {{Li, Jiashuo/0000-0002-2915-4770
   （陈国谦）, Guoqian Chen/0000-0003-1173-6796}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}71704060]; Fundamental Research Funds for the
   Central Universities, RUST {[}2016YXMS043, 2016YXZD007]; Natural Science
   Foundation of Hubei ProvinceNatural Science Foundation of Hubei Province
   {[}2016CFB132]}},
Funding-Text = {{This research was supported by the National Natural Science Foundation
   of China (No. 71704060), the Fundamental Research Funds for the Central
   Universities, RUST (No. 2016YXMS043 and No. 2016YXZD007) and the Natural
   Science Foundation of Hubei Province (Grant No. 2016CFB132).}},
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Number-of-Cited-References = {{62}},
Times-Cited = {{17}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{31}},
Journal-ISO = {{J. Clean Prod.}},
Doc-Delivery-Number = {{FW8DR}},
Unique-ID = {{ISI:000425558600026}},
DA = {{2020-08-06}},
}

@article{ ISI:000428402400028,
Author = {Yuan, Xing and Zhu, Enda},
Title = {{A First Look at Decadal Hydrological Predictability by Land Surface
   Ensemble Simulations}},
Journal = {{GEOPHYSICAL RESEARCH LETTERS}},
Year = {{2018}},
Volume = {{45}},
Number = {{5}},
Pages = {{2362-2369}},
Month = {{MAR 16}},
Abstract = {{The prediction of terrestrial hydrology at the decadal scale is critical
   for managing water resources in the face of climate change. Here we
   conducted an assessment by global land model simulations following the
   design of the fifth Coupled Model Intercomparison Project (CMIP5)
   decadal hindcast experiments, specifically testing for the sensitivity
   to perfect initial or boundary conditions. The memory for terrestrial
   water storage (TWS) is longer than 6 years over 11\% of global land
   areas where the deep soil moisture and aquifer water have a long memory
   and a nonnegligible variability. Ensemble decadal predictions based on
   realistic initial conditions are skillful over 31\%, 43\%, and 59\% of
   global land areas for TWS, deep soil moisture, and aquifer water,
   respectively. The fraction of skillful predictions for TWS increases by
   10\%-16\% when conditioned on Pacific Decadal Oscillation and Atlantic
   Multidecadal Oscillation indices. This study provides a first look at
   decadal hydrological predictability, with an improved skill when
   incorporating low-frequency climate information.
   Plain Language Summary Decadal prediction, which was initially proposed
   to more accurately project near-term (e.g., 10-30 years) climate change
   by using the experiences in weather and seasonal climate forecasting,
   has raised a wide concern since the IPCC CMIP5 project. The climate
   community is now trying to transition the decadal prediction from a pure
   research to a quasi-real-time operational effort. However, very limited
   information is known about the decadal hydrological predictability over
   land, which is more relevant to the livelihood and stakeholders. Here we
   combine an ensemble simulation method that is widely used to assess
   seasonal hydrological predictability, with the experimental design of
   the CMIP5 decadal climate hindcasts, to provide a first look at decadal
   hydrological predictability and skill by carrying out over 2,000 years
   global land model simulations. We found skillful decadal prediction for
   terrestrial water storage over one third land areas where deep soil
   moisture and aquifer have a nonnegligible variability. And the skill can
   be further enhanced by incorporating low-frequency teleconnection
   information from Atlantic and Pacific Oceans. This study suggests that
   it is possible to provide water resources managers useful hydrological
   forecast information over arid and semiarid regions a few years or even
   a decade in advance.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Yuan, X (Corresponding Author), Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm Temperate East Asia, Beijing, Peoples R China.
   Yuan, Xing; Zhu, Enda, Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm Temperate East Asia, Beijing, Peoples R China.
   Zhu, Enda, Univ Chinese Acad Sci, Coll Earth Sci, Beijing, Peoples R China.}},
DOI = {{10.1002/2018GL077211}},
ISSN = {{0094-8276}},
EISSN = {{1944-8007}},
Keywords = {{predictability; decadal prediction; land surface model; ESP; terrestrial
   water storage; CLM}},
Keywords-Plus = {{CLIMATE PREDICTION; SOIL-MOISTURE; PROJECT; SYSTEM; OSCILLATION}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary}},
Author-Email = {{yuanxing@tea.ac.cn}},
ResearcherID-Numbers = {{Yuan, Xing/G-8392-2011
   }},
ORCID-Numbers = {{Yuan, Xing/0000-0001-6983-7368
   zhu, enda/0000-0001-7757-9549}},
Funding-Acknowledgement = {{National Key R\&D Program of China {[}2016YFA0600403]; National Natural
   Science Foundation of ChinaNational Natural Science Foundation of China
   {[}91547103]; CAS Key Research Program of Frontier Sciences
   {[}QYZDY-SSW-DQC012]}},
Funding-Text = {{The authors thank the Editor M. Bayani Cardenas and three anonymous
   reviewers for their helpful comments. This work was supported by
   National Key R\&D Program of China (2016YFA0600403), National Natural
   Science Foundation of China (91547103), and CAS Key Research Program of
   Frontier Sciences (QYZDY-SSW-DQC012). The CRUNCEP forcing data were
   obtained at UCAR website
   (https://svn-ccsm-inputdata.cgd.ucar.edu/trunk/inputdata/atm/datm7/).}},
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Number-of-Cited-References = {{36}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{18}},
Journal-ISO = {{Geophys. Res. Lett.}},
Doc-Delivery-Number = {{GA5VQ}},
Unique-ID = {{ISI:000428402400028}},
DA = {{2020-08-06}},
}

@article{ ISI:000426729300017,
Author = {Fernandes, Lais G. and Rodrigues, Regina R.},
Title = {{Changes in the patterns of extreme rainfall events in southern Brazil}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2018}},
Volume = {{38}},
Number = {{3}},
Pages = {{1337-1352}},
Month = {{MAR 15}},
Abstract = {{In this study we have examined changes in frequency and intensity of
   extreme rainfall events for the state of Santa Catarina (SC) in southern
   Brazil during austral spring and summer. The results show that changes
   in El Nino-Southern Oscillation (ENSO) between 1979-1999 and 2000-2015
   due to different phases of Interdecadal Pacific Oscillation have an
   impact on the teleconnection patterns from the Pacific to South America.
   As a consequence, precipitation over SC in the late period is less
   likely to be linked to ENSO. Moreover, there have been changes not only
   in the frequency and intensity of extreme events between the two periods
   but also in the mechanisms that cause the extremes affecting the spatial
   distribution of the extremes. In spring, the extreme events are less
   likely to occur during El Nino events and more frequent during La Nina
   and neutral years. The classical mechanism, of an enhanced South
   Atlantic Lower Level Jet (SALLJ) bringing moisture to SC, is no longer
   responsible for the extremes in the spring. The current main mechanism
   is associated with the presence of frontal systems during ENSO years and
   the presence of the South Atlantic Convergence Zone (SACZ) to the north
   combined with an anticyclonic system off the South American coast during
   neutral years. As a consequence the extreme events are currently more
   frequent at stations in the eastern side of SC. In summer during neutral
   years, SACZ events have become less frequent at the same time that
   atmospheric blocking events have become more frequent, explaining the
   decrease in extremes. On the other hand, SACZ events have become more
   frequent during La Nina years and so do the extremes in SC, with El Nino
   events playing a less important role.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Rodrigues, RR (Corresponding Author), Univ Fed Santa Catarina, Dept Geosci, Campus Trindade,CP 476, Florianopolis, SC, Brazil.
   Fernandes, Lais G.; Rodrigues, Regina R., Univ Fed Santa Catarina, Dept Geosci, Campus Trindade,CP 476, Florianopolis, SC, Brazil.}},
DOI = {{10.1002/joc.5248}},
ISSN = {{0899-8418}},
EISSN = {{1097-0088}},
Keywords = {{ENSO; Interdecadal Pacific Oscillation; extreme rainfall events; South
   America; southern Brazil}},
Keywords-Plus = {{SUMMER MONSOON RAINFALL; EL-NINO; SURFACE-TEMPERATURE; INTERDECADAL
   VARIABILITY; PRECIPITATION EVENTS; ATLANTIC; AMERICA; CIRCULATION;
   OSCILLATION; STATIONARY}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{regina.rodrigues@ufsc.br}},
ResearcherID-Numbers = {{Rodrigues, Regina R./AAU-4018-2020
   }},
ORCID-Numbers = {{Rodrigues, Regina R./0000-0001-8010-4018
   Goncalves Fernandes, Lais/0000-0001-7228-6464}},
Funding-Acknowledgement = {{Brazilian Research Network on Global Climate Change FINEP/Rede CLIMA
   {[}01.13.0353-00]}},
Funding-Text = {{We thank the two anonymous reviewers for their valuable comments. This
   work has been supported by Brazilian Research Network on Global Climate
   Change FINEP/Rede CLIMA (Grant \# 01.13.0353-00) and is part of the
   research conducted by the INCT-MC and INCT-Mar COI, within the
   PPGOceano-UFSC Program. ERA-Interim reanalysis dataset was provided by
   ECMWF. NOAA/OAR/ESRL PSD provided ERSSTv4, OISSTv2, CPC and OLR
   datasets.}},
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Number-of-Cited-References = {{45}},
Times-Cited = {{9}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{7}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{FY3OK}},
Unique-ID = {{ISI:000426729300017}},
DA = {{2020-08-06}},
}

@article{ ISI:000424130500002,
Author = {Martinez, Sara and Marchamalo, Miguel and Alvarez, Sergio},
Title = {{Organization environmental footprint applying a multi-regional
   input-output analysis: A case study of a wood parquet company in Spain}},
Journal = {{SCIENCE OF THE TOTAL ENVIRONMENT}},
Year = {{2018}},
Volume = {{618}},
Pages = {{7-14}},
Month = {{MAR 15}},
Abstract = {{Wood has been presented as a carbon-neutral material capable of
   significantly contribute to climate change mitigation and has become an
   appealing option for the building sector. This paper presents the
   quantification of the organization environmental footprint of a wood
   parquet company. The multi-regional input-output (MRIO) database
   EXIOBASE was used with a further structural path analysis decomposition.
   The application of the proposed method quantifies 14 environmental
   impacts. Highly influential sectors and regions responsible for these
   impacts are assessed to propose efficient measures. For the parquet
   company studied, the highest impact category once normalized was ozone
   depletion and the dominant sector responsible for this impact was the
   chemical industry from Spain and China. The structural path
   decomposition related to ozone loss revealed that the indirect impacts
   embedded in the supply chain are higher than the direct impacts. It can
   be concluded that the assessment of the organizational environmental
   footprint can be carried out applying this well-structured and robust
   method. Its implementation will enable tracking of the environmental
   burdens through a company's supply chain at a global scale and provide
   information for the adoption of environmental strategies. (c) 2017
   Elsevier B.V. All rights reserved.}},
Publisher = {{ELSEVIER}},
Address = {{RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Martinez, S (Corresponding Author), Univ Politecn Madrid, Dept Land Morphol \& Engn, Madrid, Spain.
   Martinez, Sara; Marchamalo, Miguel; Alvarez, Sergio, Univ Politecn Madrid, Dept Land Morphol \& Engn, Madrid, Spain.
   Martinez, Sara, Univ Politecn Madrid, Dept Nat Syst \& Resources, Madrid, Spain.}},
DOI = {{10.1016/j.scitotenv.2017.10.306}},
ISSN = {{0048-9697}},
EISSN = {{1879-1026}},
Keywords = {{MRIO; Sustainability; Environmental impacts; Wood; Structural path
   analysis}},
Keywords-Plus = {{LIFE-CYCLE ASSESSMENT; CARBON FOOTPRINT; CONSUMPTION ACTIVITIES; SUPPLY
   CHAINS; ENERGY; PRODUCTS; IMPACTS; CORPORATE; EMISSIONS; ACCOUNTS}},
Research-Areas = {{Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Environmental Sciences}},
Author-Email = {{s.martinezd@alumnos.upm.es
   miguel.marchamalo@upm.es
   sergio.alvarez@upm.es}},
ResearcherID-Numbers = {{Alvarez, Sergio/H-9727-2015
   Marchamalo, Miguel/A-5536-2013}},
ORCID-Numbers = {{Alvarez, Sergio/0000-0001-7204-502X
   Marchamalo, Miguel/0000-0001-9237-4146}},
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Number-of-Cited-References = {{64}},
Times-Cited = {{16}},
Usage-Count-Last-180-days = {{7}},
Usage-Count-Since-2013 = {{49}},
Journal-ISO = {{Sci. Total Environ.}},
Doc-Delivery-Number = {{FU8UD}},
Unique-ID = {{ISI:000424130500002}},
DA = {{2020-08-06}},
}

@article{ ISI:000429391100068,
Author = {Zhong, Zhangqi and Jiang, Lei and Zhou, Peng},
Title = {{Transnational transfer of carbon emissions embodied in trade:
   Characteristics and determinants from a spatial perspective}},
Journal = {{ENERGY}},
Year = {{2018}},
Volume = {{147}},
Pages = {{858-875}},
Month = {{MAR 15}},
Abstract = {{Based on the multi-regional input-output analytical framework and
   spatial econometric regression models, this paper analyzes embodied
   global emissions in trade, so as to unravel the characteristics of
   spatial emissions transfer for 39 countries from 1995 to 2011, and
   investigates the determinants of transnational transfer of the global
   emissions in trade changes from a spatial perspective. One important
   finding from this study is that the global emissions in trade primarily
   have flown from developing to developed countries and regions. Notably,
   however, for those countries endowed with rich natural resources and
   developed economy like Canada, they have become the net carbon exporters
   in trade. Another important finding is that such important determinants
   as energy and industrial structure have spatial spillover effects on the
   emissions embodied in trade changes. Regarding climate policies, our
   results suggest that the increase in the share of clean energy could
   curtail the impact of trade on global carbon emissions. Notably, our
   study also finds that improving energy efficiency would not lower the
   emissions embodied in global trade because the forecasted reduction in
   energy use and thus carbon emissions that may be lost due to the sum of
   consumer and market responses. (C) 2018 Elsevier Ltd. All rights
   reserved.}},
Publisher = {{PERGAMON-ELSEVIER SCIENCE LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Jiang, L (Corresponding Author), Zhejiang Univ Finance \& Econ, Sch Econ, Hangzhou 310018, Zhejiang, Peoples R China.
   Zhong, Zhangqi; Jiang, Lei, Zhejiang Univ Finance \& Econ, Sch Econ, Hangzhou 310018, Zhejiang, Peoples R China.
   Jiang, Lei; Zhou, Peng, Nanjing Univ Aeronaut \& Astronaut, Coll Econ \& Management, Nanjing 210016, Jiangsu, Peoples R China.}},
DOI = {{10.1016/j.energy.2018.01.008}},
ISSN = {{0360-5442}},
EISSN = {{1873-6785}},
Keywords = {{Embodied carbon emissions; Trading partners; Spatial spillover effects;
   Spatial Durbin model; Industrial structure; Multi-regional input-output
   model}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; STRUCTURAL DECOMPOSITION ANALYSIS; CHINA-US
   TRADE; GLOBAL CO2 EMISSIONS; INTERNATIONAL-TRADE; DIOXIDE EMISSIONS;
   EMPIRICAL-ANALYSIS; ENERGY EFFICIENCY; DRIVING FACTORS; WORLD-ECONOMY}},
Research-Areas = {{Thermodynamics; Energy \& Fuels}},
Web-of-Science-Categories  = {{Thermodynamics; Energy \& Fuels}},
Author-Email = {{zzqi111@163.com
   lei\_jiang@zufe.edu.cn
   rocy\_zhou@hotmail.com}},
ResearcherID-Numbers = {{Zhou, Peng/A-6527-2012}},
ORCID-Numbers = {{Zhou, Peng/0000-0003-4726-3054}},
Funding-Acknowledgement = {{Zhejiang Provincial Social Science Planning Fund Program
   {[}18NDJC149YB]; National Natural Science Foundation of ChinaNational
   Natural Science Foundation of China {[}71742001, 41761021]; China
   Postdoctoral Science FoundationChina Postdoctoral Science Foundation
   {[}2017M621740]; Humanities and Social Science Research Program of the
   Ministry of Education {[}17YJC790061]}},
Funding-Text = {{We thank the anonymous reviewers and the editor for their useful
   suggestions and valuable comments. Financial support from the Zhejiang
   Provincial Social Science Planning Fund Program (No.18NDJC149YB), the
   National Natural Science Foundation of China (No.71742001, 41761021),
   the China Postdoctoral Science Foundation (No. 2017M621740) and the
   Humanities and Social Science Research Program of the Ministry of
   Education (No.17YJC790061) are gratefully acknowledged.}},
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Number-of-Cited-References = {{99}},
Times-Cited = {{30}},
Usage-Count-Last-180-days = {{7}},
Usage-Count-Since-2013 = {{53}},
Journal-ISO = {{Energy}},
Doc-Delivery-Number = {{GB9JW}},
Unique-ID = {{ISI:000429391100068}},
DA = {{2020-08-06}},
}

@article{ ISI:000426904500001,
Author = {Li, Yue and Song, Yougui and Fitzsimmons, Kathryn E. and Chang, Hong and
   Orozbaev, Rustam and Li, Xinxin},
Title = {{Eolian dust dispersal patterns since the last glacial period in eastern
   Central Asia: insights from a loess-paleosol sequence in the Ili Basin}},
Journal = {{CLIMATE OF THE PAST}},
Year = {{2018}},
Volume = {{14}},
Number = {{3}},
Pages = {{271-286}},
Month = {{MAR 6}},
Abstract = {{The extensive loess deposits of the Eurasian midlatitudes provide
   important terrestrial archives of Quaternary climatic change. As yet,
   however, loess records in Central Asia are poorly understood. Here we
   investigate the grain size and magnetic characteristics of loess from
   the Nilka (NLK) section in the Ili Basin of eastern Central Asia. Weak
   pedogenesis suggested by frequency-dependent magnetic susceptibility
   (chi fd\%) and magnetic susceptibility (MS) peaks in primary loess
   suggest that MS is more strongly influenced by allogenetic magnetic
   minerals than pedogenesis, and may therefore be used to indicate wind
   strength. This is supported by the close correlation between variations
   in MS and proportions of the sand-sized fraction. To further explore the
   temporal variability in dust transport patterns, we identified three
   grain size end-members (EM1, mode size 47.5 mu m; EM2, 33.6 mu m; EM3,
   18.9 mu m) which represent distinct aerodynamic environments. EM1 and
   EM2 are inferred to represent grain size fractions transported from
   proximal sources in short-term, near-surface suspension during dust
   outbreaks. EM3 appears to represent a continuous background dust
   fraction under non-dust storm conditions. Of the three end-members, EM1
   is most likely the most sensitive recorder of wind strength. We compare
   our EM1 proportions with mean grain size from the Jingyuan section in
   the Chinese loess plateau, and assess these in the context of modern and
   Holocene climate data. Our research suggests that the Siberian High
   pressure system is the dominant influence on wind dynamics, resulting in
   loess deposition in the eastern Ili Basin. Six millennial-scale cooling
   (Heinrich) events can be identified in the NLK loess records. Our grain
   size data support the hypothesis that the Siberian High acts as
   teleconnection between the climatic systems of the North Atlantic and
   East Asia in the high northern latitudes, but not for the mid-latitude
   westerlies.}},
Publisher = {{COPERNICUS GESELLSCHAFT MBH}},
Address = {{BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Song, YG (Corresponding Author), Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess \& Quaternary Geol, Xian 710061, Peoples R China.
   Li, Yue; Song, Yougui; Chang, Hong; Li, Xinxin, Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess \& Quaternary Geol, Xian 710061, Peoples R China.
   Li, Yue; Fitzsimmons, Kathryn E., Max Planck Inst Chem, Res Grp Terr Palaeoclimates, D-55128 Mainz, Germany.
   Li, Yue, Univ Chinese Acad Sci, Coll Earth Sci, Beijing 100049, Peoples R China.
   Orozbaev, Rustam, Natl Acad Sci Kyrgyz Republ, Inst Geol, Bishkek 720040, Kyrgyzstan.
   Orozbaev, Rustam, Chinese Acad Sci, Res Ctr Ecol \& Environm Cent Asia, Urumqi 830011, Peoples R China.}},
DOI = {{10.5194/cp-14-271-2018}},
ISSN = {{1814-9324}},
EISSN = {{1814-9332}},
Keywords-Plus = {{GRAIN-SIZE DISTRIBUTION; LATE QUATERNARY LOESS; CHINESE LOESS; AEOLIAN
   DUST; TIEN-SHAN; PALEOCLIMATIC IMPLICATIONS; ATMOSPHERIC CIRCULATION;
   MAGNETIC MINERALOGY; SOUTHERN TAJIKISTAN; LATE PLEISTOCENE}},
Research-Areas = {{Geology; Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary; Meteorology \& Atmospheric Sciences}},
Author-Email = {{syg@ieecas.cn}},
ResearcherID-Numbers = {{Fitzsimmons, Kathryn/U-3565-2018
   Song, yougui/I-8813-2014}},
ORCID-Numbers = {{Fitzsimmons, Kathryn/0000-0002-9337-0793
   Song, yougui/0000-0003-0064-3260}},
Funding-Acknowledgement = {{National Key Research and Development Program of China
   {[}2016YFA0601902]; Natural Science Foundation of ChinaNational Natural
   Science Foundation of China {[}41572162]; International Partnership
   Program {[}132B61KYS20160002]; Special Exchange Program for Russia,
   Ukraine, and Belarus from the Chinese Academy of Science}},
Funding-Text = {{The project is supported by the National Key Research and Development
   Program of China (no. 2016YFA0601902), Natural Science Foundation of
   China (no. 41572162), International Partnership Program (No.
   132B61KYS20160002) and Special Exchange Program for Russia, Ukraine, and
   Belarus from the Chinese Academy of Science. The authors thank
   Chuanxiang Li and Junchao Dong from the Institute of Earth Environment,
   Chinese Academy of Sciences, for their assistance in the experiments and
   sampling, and Jia Li from Xiamen University for her assistance in
   mathematical treatment.}},
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