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Number-of-Cited-References = {{90}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{13}},
Journal-ISO = {{Sustainability}},
Doc-Delivery-Number = {{GW3DA}},
Unique-ID = {{ISI:000446770200082}},
OA = {{DOAJ Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000446770200178,
Author = {Xie, Yulei and Ji, Ling and Zhang, Beibei and Huang, Gordon},
Title = {{Evolution of the Scientific Literature on Input-Output Analysis: A
   Bibliometric Analysis of 1990-2017}},
Journal = {{SUSTAINABILITY}},
Year = {{2018}},
Volume = {{10}},
Number = {{9}},
Month = {{SEP}},
Abstract = {{This study attempts to characterize the literature related to
   input-output analysis between 1990-2017 through bibliometric analysis
   technology based on the Science Citation Index and Social Sciences
   Citation Index databases. By means of bibliometric tools, this paper
   provides deep insights on the patterns of these articles, the most
   influential works and authors, and the emerging research topics. The
   results imply that China and the United States (USA) are the leading
   countries in terms of publication output. The Chinese Academy of
   Sciences is the most productive research institution, followed by
   Beijing Normal University and the University of Sydney. The Journal of
   Cleaner Production, Ecological Economics, and Energy Policy are the top
   mainstream journals in the input-output analysis-related field. Based on
   network analysis, this paper also discovers the hidden collaboration
   patterns and interrelations of countries, institutions, and authors. The
   bibliographic coupling and keywords concurrence networks are adopted to
   illustrate the input-output analysis evolution over time, and identify
   the current key research hotspots. The obtained results will help
   scientific researchers better understand the research status and
   frontier trends in this field, permit researchers to know the current
   research interests in the input-output analysis field, and provide
   useful information for further investigation and publication strategies.}},
Publisher = {{MDPI}},
Address = {{ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Ji, L (Corresponding Author), Beijing Univ Technol, Coll Econ \& Management, Res Base Beijing Modern Mfg Dev, Beijing 100124, Peoples R China.
   Xie, Yulei, Univ Sci \& Technol Beijing, Sch Energy \& Environm Engn, Beijing 100083, Peoples R China.
   Ji, Ling; Zhang, Beibei, Beijing Univ Technol, Coll Econ \& Management, Res Base Beijing Modern Mfg Dev, Beijing 100124, Peoples R China.
   Huang, Gordon, Univ Regina, Fac Engn, Environm Syst Engn Program, Regina, SK S4S 0A2, Canada.}},
DOI = {{10.3390/su10093135}},
Article-Number = {{3135}},
EISSN = {{2071-1050}},
Keywords = {{bibliometric analysis; input-output analysis; bibliographic coupling;
   co-occurrence network; network analysis}},
Keywords-Plus = {{INTERNATIONAL-TRADE; CO2 EMISSIONS; CARBON EMISSIONS; ENERGY;
   CONSUMPTION; CHINA; DECOMPOSITION; CYCLE; AGGREGATION; INVENTORY}},
Research-Areas = {{Science \& Technology - Other Topics; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Environmental Sciences;
   Environmental Studies}},
Author-Email = {{xieyulei001@gmail.com
   hdjiling@126.com
   zhangb326421@126.com
   gordon.huang@uregina.ca}},
ResearcherID-Numbers = {{Huang, Guohe/H-5306-2011
   Huang, Guohe/AAA-7305-2019
   }},
ORCID-Numbers = {{Huang, Guohe/0000-0003-4974-3019
   Ji, Ling/0000-0002-8259-3369}},
Funding-Acknowledgement = {{Natural Science Foundation of Beijing MunicipalityBeijing Natural
   Science Foundation {[}9174028]; National Natural Science Foundation of
   ChinaNational Natural Science Foundation of China {[}U1765101, 51609003,
   71603016]; Fundamental Research Funds for the Central
   UniversitiesFundamental Research Funds for the Central Universities
   {[}FRF-BD-18-015A]}},
Funding-Text = {{This research was funded by Natural Science Foundation of Beijing
   Municipality (No. 9174028), National Natural Science Foundation of China
   (No. U1765101, No. 71603016, and No. 51609003), and the Fundamental
   Research Funds for the Central Universities (FRF-BD-18-015A).}},
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Number-of-Cited-References = {{55}},
Times-Cited = {{4}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{12}},
Journal-ISO = {{Sustainability}},
Doc-Delivery-Number = {{GW3DA}},
Unique-ID = {{ISI:000446770200178}},
OA = {{DOAJ Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000447388800012,
Author = {Zhang, Bo and Zhao, Xueli and Wu, Xiaofang and Han, Mengyao and Guan,
   Cheng He and Song, Shaojie},
Title = {{Consumption-Based Accounting of Global Anthropogenic CH4 Emissions}},
Journal = {{EARTHS FUTURE}},
Year = {{2018}},
Volume = {{6}},
Number = {{9}},
Pages = {{1349-1363}},
Month = {{SEP}},
Abstract = {{Global anthropogenic CH4 emissions have witnessed a rapid increase in
   the last decade. However, how this increase is connected with its
   socioeconomic drivers has not yet been explored. In this paper, we
   highlight the impacts of final demand and international trade on global
   anthropogenic CH4 emissions based on the consumption-based accounting
   principle. We find that household consumption was the largest final
   demand category, followed by fixed capital formation and government
   consumption. The position and function of nations and major economies to
   act on the structure and spatial patterns of global CH4 emissions were
   systematically clarified. Substantial geographic shifts of CH4 emissions
   during 2000-2012 revealed the prominent impact of international trade.
   In 2012, about half of global CH4 emissions were embodied in
   international trade, of which 77.8\% were from intermediate trade and
   22.2\% from final trade. Mainland China was the largest exporter of
   embodied CH4 emissions, while the United States was the largest
   importer. Developed economies such as Western Europe, the United States,
   and Japan were major net receivers of embodied emission transfer, mainly
   from developing countries. CH4 emission footprints of nations were
   closely related to their human development indexes and per capita gross
   domestic products. Our findings could help to improve current
   understanding of global anthropogenic CH4 emission increases and to
   pinpoint regional and sectoral hotspots for possible emission mitigation
   in the entire supply chains from production to consumption.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Zhang, B (Corresponding Author), China Univ Min \& Technol, Sch Management, Beijing, Peoples R China.
   Zhang, B (Corresponding Author), China Univ Min \& Technol, State Key Lab Coal Resources \& Safe Min, Beijing, Peoples R China.
   Zhang, B; Guan, CH (Corresponding Author), Harvard Univ, Sch Engn \& Appl Sci, Harvard China Project, Cambridge, MA 02138 USA.
   Guan, CH (Corresponding Author), New York Univ Shanghai, Shanghai, Peoples R China.
   Zhang, Bo; Zhao, Xueli, China Univ Min \& Technol, Sch Management, Beijing, Peoples R China.
   Zhang, Bo, China Univ Min \& Technol, State Key Lab Coal Resources \& Safe Min, Beijing, Peoples R China.
   Zhang, Bo; Guan, Cheng He; Song, Shaojie, Harvard Univ, Sch Engn \& Appl Sci, Harvard China Project, Cambridge, MA 02138 USA.
   Wu, Xiaofang, Zhongnan Univ Econ \& Law, Econ Sch, Wuhan, Hubei, Peoples R China.
   Han, Mengyao, Chinese Acad Sci, Inst Geog Sci \& Nat Resources Res, Beijing, Peoples R China.
   Guan, Cheng He, New York Univ Shanghai, Shanghai, Peoples R China.}},
DOI = {{10.1029/2018EF000917}},
ISSN = {{2328-4277}},
Keywords = {{anthropogenic CH4 emissions; consumption-based accounting; international
   trade; multiregional input-output analysis; global supply chains}},
Keywords-Plus = {{GREENHOUSE-GAS EMISSIONS; INPUT-OUTPUT-ANALYSIS; ARABLE LAND-USE;
   INTERNATIONAL-TRADE; METHANE EMISSIONS; WORLD-ECONOMY; CARBON EMISSIONS;
   SUPPLY CHAIN; DECOMPOSITION ANALYSIS; AIR-POLLUTION}},
Research-Areas = {{Environmental Sciences \& Ecology; Geology; Meteorology \& Atmospheric
   Sciences}},
Web-of-Science-Categories  = {{Environmental Sciences; Geosciences, Multidisciplinary; Meteorology \&
   Atmospheric Sciences}},
Author-Email = {{zhangbo@cumtb.edu.cn
   cguan@gsd.harvard.edu}},
ResearcherID-Numbers = {{Guan, ChengHe/AAM-9581-2020
   Song, Shaojie/A-1948-2012
   Wu, Xiaofang/O-7253-2014
   }},
ORCID-Numbers = {{Guan, ChengHe/0000-0002-5997-418X
   Song, Shaojie/0000-0001-6395-7422
   zhang, bo/0000-0002-5783-6138}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}71774161]; Foundation of State Key Laboratory of
   Coal Resources and Safe Mining {[}SKLCRSM16KFC06]; Yue Qi Young Scholar
   Project, China University of Mining \& Technology (Beijing)}},
Funding-Text = {{See Tables S1-S10 associated with this article. All the CH4 emission
   data can be available from the EDGAR database at
   http://edgar.jrc.ec.europa.eu/overview. php?v=432\_GHG\&SECURE=123. This
   study has been supported by the National Natural Science Foundation of
   China (grant 71774161), the Foundation of State Key Laboratory of Coal
   Resources and Safe Mining (grant SKLCRSM16KFC06), and the Yue Qi Young
   Scholar Project, China University of Mining \& Technology (Beijing).
   Very helpful comments by the editor Michael Ellis and the anonymous
   reviewer are highly appreciated.}},
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Number-of-Cited-References = {{79}},
Times-Cited = {{10}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{20}},
Journal-ISO = {{Earth Future}},
Doc-Delivery-Number = {{GX0GQ}},
Unique-ID = {{ISI:000447388800012}},
OA = {{DOAJ Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000446269900015,
Author = {Garcia-Moreiras, Iria and Pospelova, Vera and Garcia-Gil, Soledad and
   Munoz Sobrino, Castor},
Title = {{Climatic and anthropogenic impacts on the Ria de Vigo (NW Iberia) over
   the last two centuries: A high-resolution dinoflagellate cyst
   sedimentary record}},
Journal = {{PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY}},
Year = {{2018}},
Volume = {{504}},
Pages = {{201-218}},
Month = {{SEP 1}},
Abstract = {{A high-resolution dinoflagellate cyst record spanning the period of
   similar to 1830-2012 CE from Ria de Vigo (Atlantic margin of NW Iberia)
   is presented. Changes in concentrations and percentages of
   dinoflagellate cysts and freshwater algal spores reflect climatic and
   anthropogenic influences on the ria, i.e. coastal inlet formed by the
   partial submergence of a river valley. Statistical analyses (PCA and
   clustering) were used to identify the main patterns of change in the
   cyst assemblages. The cyst record was compared with reconstructed and
   measured instrumental environmental data (NAO, temperatures, mean sea
   level, etc.) to support (palaeo)reconstructions. Four main phases were
   identified: the first phase (similar to 1830-1855 CE) of lower relative
   sea level (RSL), temperatures and precipitations represents the last
   stages of the LIA (Little Ice Age); the second phase (similar to
   1855-1910 CE) is interpreted as a transition between the colder LIA and
   the wetter and warmer conditions that prevailed through the 20th
   century; the third phase (similar to 1910-1975 CE) is characterized by
   strong river inputs and water stratification in the ria; and the fourth
   phase (similar to 1975-2012 CE) reflects impacts of anthropogenic
   warming and pollution. The anthropogenic signal consists of increases in
   heterotrophic cyst proportions and cysts diversity, as well as of a
   marked decline of potentially toxic Lingulodinium machaerophorum.
   Increasing organic matter content, nutrients and industrial wastes have
   likely caused detrimental impacts on the autotrophic dinoflagellates, by
   increasing turbidity and toxicity. The B5-cyst record and its comparison
   with previously published data suggest that increased concentrations of
   L. machaerophorum in the 20th century were mainly related to river flow
   variations, that in turn were primarily driven by NAO changes, rather
   than cultural eutrophication. We also report high abundances of
   Peridinium ponticum in our record, determining that this species is not
   exclusive to the Black and Marmara Seas and has much wider natural
   distribution.}},
Publisher = {{ELSEVIER}},
Address = {{RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Garcia-Moreiras, I (Corresponding Author), Univ Vigo, Fac Biol, Dept Biol Vexetal \& Ciencias Solo, Palynol \& Paleobot Lab, Campus Lagoas Marcosende, E-36310 Vigo, Spain.
   Garcia-Moreiras, Iria; Garcia-Gil, Soledad; Munoz Sobrino, Castor, Univ Vigo, Marine Sci Stn Toralla, ECIMAT, Illa Toralla S-N, E-36331 Vigo, Spain.
   Garcia-Moreiras, Iria; Munoz Sobrino, Castor, Univ Vigo, Sci Fac, Dept Plant Biol \& Soil Sci, Campus Marcosende S-N, E-36310 Vigo, Spain.
   Pospelova, Vera, OEASB A405 Univ Victoria, SEOS, 3800 Finnerty Rd, Victoria, BC V8P5C2, Canada.
   Garcia-Gil, Soledad, Univ Vigo, Sci Fac, Dept Marine Geosci, Campus Marcosende S-N, E-36310 Vigo, Spain.}},
DOI = {{10.1016/j.palaeo.2018.05.032}},
ISSN = {{0031-0182}},
EISSN = {{1872-616X}},
Keywords = {{Coastal palaeoenvironments; Sea level; Lingulodinium polyedrum;
   Eutrophication; North Atlantic Oscillation (NAO), Atlantic; Iberian
   margin}},
Keywords-Plus = {{NORTH-ATLANTIC OSCILLATION; SAN-SIMON BAY; ESTUARINE UPWELLING
   ECOSYSTEM; SEA-SURFACE-TEMPERATURE; DE-VIGO; PALYNOLOGICAL EVIDENCE;
   ENVIRONMENTAL-CHANGE; PHYTOPLANKTON ASSEMBLAGES; TELECONNECTION
   PATTERNS; FRESH-WATER}},
Research-Areas = {{Physical Geography; Geology; Paleontology}},
Web-of-Science-Categories  = {{Geography, Physical; Geosciences, Multidisciplinary; Paleontology}},
Author-Email = {{iriagamo@uvigo.es}},
ResearcherID-Numbers = {{Gil, Soledad Garcia/H-4460-2015
   Sobrino, Castor Munoz/N-6281-2019
   Sobrino, Castor Munoz/H-2948-2015
   GARCIA-MOREIRAS, IRIA/H-4627-2015}},
ORCID-Numbers = {{Sobrino, Castor Munoz/0000-0001-8191-3001
   Sobrino, Castor Munoz/0000-0001-8191-3001
   GARCIA-MOREIRAS, IRIA/0000-0001-8713-0374}},
Funding-Acknowledgement = {{Spanish Ministry of Education and Science - EFRD fundsGerman Research
   Foundation (DFG) {[}CGL2012-33584]; Xunta de GaliciaXunta de Galicia
   {[}GRC2015/020, PRE/2013/404]; Natural Science and Engineering Research
   Council of Canada (NSERC)Natural Sciences and Engineering Research
   Council of Canada; Fundacion Barrie}},
Funding-Text = {{This work was funded by the Spanish Ministry of Education and Science
   CGL2012-33584 (co-financed with EFRD funds) and the Xunta de Galicia
   GRC2015/020 projects. Iria Garcia-Moreiras was supported by a research
   fellowship from Xunta de Galicia (PRE/2013/404). The authors thank
   Natalia Martinez Carreno for her contribution with grain size and
   elemental data. Partial funding for this research was provided by the
   Natural Science and Engineering Research Council of Canada (NSERC) to
   Vera Pospelova (Discovery Grant program). The collaboration between the
   XM-3 group from the University of Vigo and the SEOS department from the
   University of Victoria was possible thanks to the International
   Postgraduate Scholarship Programme of the Fundacion Barrie conceded to
   Iria Garcia Moreiras in 2015. Finally, we would like to thank the editor
   and three anonymous reviewers for their valuable comments that improved
   the manuscript.}},
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Number-of-Cited-References = {{143}},
Times-Cited = {{7}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{8}},
Journal-ISO = {{Paleogeogr. Paleoclimatol. Paleoecol.}},
Doc-Delivery-Number = {{GV6ZJ}},
Unique-ID = {{ISI:000446269900015}},
DA = {{2020-08-06}},
}

@article{ ISI:000445057700001,
Author = {Luo, Feifei and Li, Shuanglin and Gao, Yongqi and Svendsen, Lea and
   Furevik, Tore and Keenlyside, Noel},
Title = {{The connection between the Atlantic Multidecadal Oscillation and the
   Indian Summer Monsoon since the Industrial Revolution is intrinsic to
   the climate system}},
Journal = {{ENVIRONMENTAL RESEARCH LETTERS}},
Year = {{2018}},
Volume = {{13}},
Number = {{9}},
Month = {{SEP}},
Abstract = {{Observations show a significant positive correlation between the
   Atlantic Multidecadal Oscillation (AMO) and the Indian Summer Monsoon
   (ISM) over the past 100 years. Whether this connection is intrinsic to
   the climate system or caused by external forcing remains unclear in view
   of the substantial existence of anthropogenic greenhouse gases and
   aerosols in observations. Two state-of-the-art climate models (GFDL-CM3
   and HadGEM2-ES), the historical simulations (1850-2005) of which show
   positive correlations between the AMO and ISM, similar to observation,
   are used to address this question. A significant positive AMO-ISM
   correlation exists in the control simulations with fixed preindustrial
   forcing with HadGEM2-ES, but not with GFDL-CM3. An in-depth analysis
   illustrates that the positive correlation in the HadGEM2-ES control run
   is more reasonable, since it simulates a similar teleconnection of the
   AMO with the North Pacific to that in both observations and previous
   studies. In comparison, the GFDL-CM3 control run fails to simulate the
   teleconnection of the AMO with the North Pacific. The positive AMO-ISM
   correlation in the historical simulation in GFDL-CM3 may be attributable
   to the role of the external forcing, since it is so strong that the AMO
   signals are excited additionally in the North Pacific. This study
   suggests that the AMO-ISM connection is intrinsic to the climate system,
   and highlights the crucial role played by the North Pacific in bridging
   such a connection.}},
Publisher = {{IOP PUBLISHING LTD}},
Address = {{TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Li, SL (Corresponding Author), Chinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing, Peoples R China.
   Li, SL (Corresponding Author), Chinese Acad Sci, Inst Atmospher Phys, Climate Change Res Ctr, Beijing, Peoples R China.
   Luo, Feifei; Li, Shuanglin; Gao, Yongqi, Chinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing, Peoples R China.
   Luo, Feifei; Li, Shuanglin; Gao, Yongqi, Chinese Acad Sci, Inst Atmospher Phys, Climate Change Res Ctr, Beijing, Peoples R China.
   Li, Shuanglin, China Univ Geosci, Dept Atmospher Sci, Wuhan, Hubei, Peoples R China.
   Gao, Yongqi; Keenlyside, Noel, Nansen Environm \& Remote Sensing Ctr, Bergen, Norway.
   Gao, Yongqi; Svendsen, Lea; Furevik, Tore; Keenlyside, Noel, Bjerknes Ctr Climate Res, Bergen, Norway.
   Svendsen, Lea; Furevik, Tore; Keenlyside, Noel, Univ Bergen, Geophys Inst, Bergen, Norway.}},
DOI = {{10.1088/1748-9326/aade11}},
Article-Number = {{094020}},
ISSN = {{1748-9326}},
Keywords = {{Atlantic Multidecadel Oscillation; Indian Summer Monsoon; inherent
   relationship; external forcing; climate model}},
Keywords-Plus = {{VARIABILITY; RAINFALL; CMIP5; MODULATION; AEROSOLS; CLOUD}},
Research-Areas = {{Environmental Sciences \& Ecology; Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Environmental Sciences; Meteorology \& Atmospheric Sciences}},
Author-Email = {{shuanglin.li@mail.iap.ac.cn}},
ResearcherID-Numbers = {{gao, yongqi/N-9347-2014
   Keenlyside, Noel S/E-8303-2013
   }},
ORCID-Numbers = {{Keenlyside, Noel S/0000-0002-8708-6868
   Svendsen, Lea/0000-0002-0181-3332
   Luo, Feifei/0000-0003-3587-5547}},
Funding-Acknowledgement = {{National Key R\&D Program of China {[}2018YFA0606403]; National Natural
   Science Foundation of ChinaNational Natural Science Foundation of China
   {[}41790473, 41731177, 41421004]; Chinese Academy of SciencesChinese
   Academy of Sciences {[}XDA11010401]}},
Funding-Text = {{We thank the two anonymous reviewers for their valuable comments and
   suggestions, which helped greatly towards improving the manuscript. This
   study was jointly supported by the National Key R\&D Program of China
   (Grant No. 2018YFA0606403), the National Natural Science Foundation of
   China (Grant Nos. 41790473, 41731177 and 41421004), and the Strategic
   Project of the Chinese Academy of Sciences (Grant No. XDA11010401).}},
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Number-of-Cited-References = {{53}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{14}},
Journal-ISO = {{Environ. Res. Lett.}},
Doc-Delivery-Number = {{GU1WK}},
Unique-ID = {{ISI:000445057700001}},
OA = {{DOAJ Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000444661800004,
Author = {Worku, Gebrekidan and Teferi, Ermias and Bantider, Amare and Dile, Yihun
   T. and Taye, Meron Teferi},
Title = {{Evaluation of regional climate models performance in simulating rainfall
   climatology of Jemma sub-basin, Upper Blue Nile Basin, Ethiopia}},
Journal = {{DYNAMICS OF ATMOSPHERES AND OCEANS}},
Year = {{2018}},
Volume = {{83}},
Pages = {{53-63}},
Month = {{SEP}},
Abstract = {{This study examines the performance of 10 Regional Climate Model (RCM)
   outputs which are dynamically downscaled from the fifth phase of Coupled
   Model Inter-comparison Project (CMIP5) GCMs using different RCMs
   parameterization approaches. The RCMs are evaluated based on their
   ability to reproduce the magnitude and pattern of monthly and annual
   rainfall, characteristics of rainfall events and variability related to
   Sea Surface Temperature (SST) for the period 1981-2005. The outputs of
   all RCMs showed wet bias, particularly in the higher elevation areas of
   the sub-basin. Wet bias of annual rainfall ranges from 9.60\% in CCLM4
   (HadGEM2-ES) model to 110.9\% in RCA4 (EC-EARTH) model. JJAS
   (June-September) rainfall is also characterized by wet bias ranges from
   0.76\% in REMO (MPI-ESM-LR) model to 100.7\% in RCA4 (HadGEM2-ES) model.
   GCMs that were dynamically downscaled through REMO (Max Planck
   Institute) and CCLM4 (Climate Limited-Area Modeling) performed better in
   capturing the rainfall climatology and distribution of rainfall events.
   However, GCMs dynamically downscaled using RCA4 (SMHI Rossby Center
   Regional Atmospheric Model) were characterized by overestimation and
   there are more extreme rainfall events in the cumulative distribution.
   Most of the RCMs' rainfall over the sub-basin showed a teleconnection
   with Sea Surface Temperature (SST) of CMIP5 GCMs in the Pacific and
   Indian Oceans, but weak. The ensemble mean of all 10 RCMs simulations
   was superior in capturing the seasonal pattern of the rainfall and had
   better correlation with observed annual (Correl = 0.6) and JJAS season
   rainfall (Correl = 0.5) than any single model (S-RCM). We recommend
   using GCMs downscaled using REMO and CCLM4 RCMs and stations based
   statistical bias correction to manage elevation based biases of RCMs in
   the Upper Blue Nile Basin, specifically in the Jemma sub-basin.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Worku, G (Corresponding Author), Addis Ababa Univ, Ctr Environm \& Dev Studies, Addis Ababa, Ethiopia.
   Worku, Gebrekidan; Teferi, Ermias, Addis Ababa Univ, Ctr Environm \& Dev Studies, Addis Ababa, Ethiopia.
   Bantider, Amare, Addis Ababa Univ, Ctr Food Secur Studies, Addis Ababa, Ethiopia.
   Bantider, Amare; Taye, Meron Teferi, Addis Ababa Univ, Water \& Land Resources Ctr, Addis Ababa, Ethiopia.
   Dile, Yihun T., Texas A\&M Univ, Coll Agr \& Life Sci, College Stn, TX 77843 USA.}},
DOI = {{10.1016/j.dynatmoce.2018.06.002}},
ISSN = {{0377-0265}},
EISSN = {{1872-6879}},
Keywords = {{Regional Climate Models; Downscaling; RCM evaluation; Rainfall; Upper
   Blue Nile}},
Keywords-Plus = {{NINO-SOUTHERN-OSCILLATION; INDIAN-OCEAN; AFRICA; CMIP5; HIGHLANDS;
   EUROPE}},
Research-Areas = {{Geochemistry \& Geophysics; Meteorology \& Atmospheric Sciences;
   Oceanography}},
Web-of-Science-Categories  = {{Geochemistry \& Geophysics; Meteorology \& Atmospheric Sciences;
   Oceanography}},
Author-Email = {{kidanw1@gmail.com}},
ORCID-Numbers = {{Taye, Meron Teferi/0000-0002-4687-4622}},
Funding-Acknowledgement = {{Addis Ababa University; Water and Land Resources Centre (WLRC) of
   Ethiopia}},
Funding-Text = {{This study was made possible through financial support to the first
   author from Addis Ababa University and the Water and Land Resources
   Centre (WLRC) of Ethiopia. We are especially indebted to the Ethiopian
   National Meteorological Agency that kindly provided the daily weather
   data for this study. We would also like to express our gratitude to the
   editor and anonymous reviewers for their valuable comments and
   suggestions.}},
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Number-of-Cited-References = {{45}},
Times-Cited = {{3}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{Dyn. Atmos. Oceans}},
Doc-Delivery-Number = {{GT6WO}},
Unique-ID = {{ISI:000444661800004}},
DA = {{2020-08-06}},
}

@article{ ISI:000444661800006,
Author = {Yao, Yao and Zhong, Zhong and Yang, Xiu-Qun and Huang, Xiaogang},
Title = {{Seasonal variation of the North Pacific storm-track relationship with
   the Subarctic frontal zone intensity}},
Journal = {{DYNAMICS OF ATMOSPHERES AND OCEANS}},
Year = {{2018}},
Volume = {{83}},
Pages = {{75-82}},
Month = {{SEP}},
Abstract = {{The relationship between the North Pacific storm track and the intensity
   of the subarctic frontal zone (SAFZ) in each season is investigated in
   this study. Associated with the strengthened SAFZ, the storm track in
   winter characterize a distinct downstream intensification, and a
   comparable enhancement appears in spring in the northwestern part of the
   storm track; while the storm-track anomalies are much weaker in summer
   and autumn. It is found that the seasonal variation of the storm-track
   anomalous patterns may be attributed to the near-surface baroclinicity
   and the baroclinic energy conversion (BCEC) anomalies. When the SAFZ
   intensifies in winter (spring), accompanied by the increased
   near-surface baroclinicity in the central and eastern (northwestern)
   part of the storm track, more energy is converted form the mean
   available potential energy to the eddy available potential energy and
   then transferred to the eddy kinetic energy, which favors the robust
   downstream (northwestward) enhancement of the storm track in winter
   (spring). While the weaker storm-track anomalous patterns occur in
   summer and autumn, due to small near-surface baroclinicity and BCEC
   anomalies.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Zhong, Z (Corresponding Author), Natl Univ Def Technol, Coll Meteorol \& Oceanog, 60 Shuanglong Rd, Nanjing 211101, Jiangsu, Peoples R China.
   Yao, Yao; Zhong, Zhong, Natl Univ Def Technol, Coll Meteorol \& Oceanog, 60 Shuanglong Rd, Nanjing 211101, Jiangsu, Peoples R China.
   Zhong, Zhong; Yang, Xiu-Qun, Nanjing Univ, Sch Atmospher Sci, Jiangsu Collaborat Innovat Ctr Climate Change, Nanjing 210023, Jiangsu, Peoples R China.
   Huang, Xiaogang, Army Acad Artillery \& Air Def, Nanjing Campus, Nanjing 211132, Jiangsu, Peoples R China.}},
DOI = {{10.1016/j.dynatmoce.2018.06.003}},
ISSN = {{0377-0265}},
EISSN = {{1872-6879}},
Keywords = {{North pacific storm track; Subarctic frontal zone intensity;
   Near-surface baroclinicity; Baroclinic energy conversion}},
Keywords-Plus = {{SEA-SURFACE TEMPERATURE; TELECONNECTION PATTERN; KUROSHIO/OYASHIO
   EXTENSIONS; ATMOSPHERIC CIRCULATION; SST ANOMALIES; VARIABILITY;
   HEMISPHERE; OSCILLATION; MODEL; ENERGETICS}},
Research-Areas = {{Geochemistry \& Geophysics; Meteorology \& Atmospheric Sciences;
   Oceanography}},
Web-of-Science-Categories  = {{Geochemistry \& Geophysics; Meteorology \& Atmospheric Sciences;
   Oceanography}},
Author-Email = {{zhong\_zhong@yeah.net}},
ResearcherID-Numbers = {{Yang, Michael/G-9716-2013
   Zhong, Zhong/R-6295-2019
   }},
ORCID-Numbers = {{Yang, Michael/0000-0003-3716-9152
   Zhong, Zhong/0000-0002-6145-2698
   Yao, Yao/0000-0003-1264-6186}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}41490642, 41330420]; R\&D Special Fund for Public
   Welfare Industry (Meteorology) {[}GYHY201306025]}},
Funding-Text = {{We thank two anonymous reviewers for their valuable comments and
   suggestions, which led to significant improvement in the manuscript.
   This work was jointly funded by National Natural Science Foundation of
   China {[}Grant No. 41490642, No. 41330420], and the R\&D Special Fund
   for Public Welfare Industry (Meteorology) {[}GYHY201306025]. The
   ERA-Interim global atmospheric reanalysis were available for academic
   purpose at http://apps.ecmwf.int/datasets/. The OISST V2 data were
   obtained freely from the National Oceanic and Atmospheric Administration
   (NOAA)'s National Climatic Data Center
   (ftp://eclipse.ncdc.noaa.gov/pub/OI-daily-v2/).}},
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Number-of-Cited-References = {{46}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{1}},
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Journal-ISO = {{Dyn. Atmos. Oceans}},
Doc-Delivery-Number = {{GT6WO}},
Unique-ID = {{ISI:000444661800006}},
DA = {{2020-08-06}},
}

@article{ ISI:000444661800011,
Author = {Hu, Jinggao and Ren, Rongcai},
Title = {{Stratospheric control of the Indian Summer Monsoon Onset}},
Journal = {{DYNAMICS OF ATMOSPHERES AND OCEANS}},
Year = {{2018}},
Volume = {{83}},
Pages = {{135-147}},
Month = {{SEP}},
Abstract = {{This paper reports a significant linkage between the seasonal timing of
   boreal spring stratospheric final warming (SFW) events and the onset of
   the Indian summer monsoon (ISM). The leading singular vector
   decomposition pattern reveals a significant, coupled interannual
   variation between the SFW-related circulation in the lower stratosphere
   and the ISM-related circulation in the lower troposphere, objectively
   confirming the intimate relationship between SFWs and the ISM.
   Regression and composite maps show that, associated with a late SFW, the
   stratospheric polar vortex and the polar jet are anomalously stronger in
   April to early May, which is coupled with positive anomalies of the
   Northern Annular Mode (NAM) and the Arctic Oscillation (AO) in the
   troposphere. These tropospheric NAM/AO anomalies act to pass the
   extratropical anomaly signals to western central Asia via a
   NAM-/AO-related Rossby wave train in the upper troposphere, which is
   initiated over the North Atlantic jet exit region and extends across
   Eurasia. This results in an anomalous upper tropospheric anticyclone
   accompanied by anomalous descent over western central Asia that in turn
   warms the in situ air column and results in an enhanced meridional
   gradient of tropospheric temperature over the land to the north of the
   Arabian Sea and the Indian Ocean and therefore an early onset of the
   ISM. In contrast, an early SFW corresponds to the negative NAM/AO phase,
   an anomalous upper-level low over western central Asia in the following
   April and May, and thus a late onset of the ISM.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AM

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