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Number-of-Cited-References = {{68}},
Times-Cited = {{3}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{29}},
Journal-ISO = {{Int. J. Appl. Earth Obs. Geoinf.}},
Doc-Delivery-Number = {{GE4AM}},
Unique-ID = {{ISI:000431156700005}},
DA = {{2020-08-06}},
}

@article{ ISI:000428491100011,
Author = {Gu, Chenghong and Zhang, Xin and Ma, Kang and Yan, Jie and Song, Yonghua},
Title = {{Impact analysis of electricity supply unreliability to interdependent
   economic sectors by an economic-technical approach}},
Journal = {{RENEWABLE ENERGY}},
Year = {{2018}},
Volume = {{122}},
Pages = {{108-117}},
Month = {{JUL}},
Note = {{26th European Biomass Conference and Exhibition (EUBCE), Copenhagen,
   DENMARK, MAY 14-17, 2018}},
Abstract = {{This paper proposes a novel framework to quantify the economic impact of
   electricity supply interruptions to other economic sectors considering
   their interdependency and increasing penetration of wind power. It is
   achieved by a novel integrated model that combines economic
   interdependency and electricity supply reliability. Leontief
   Input-Output model is used to determine the dependency of other economic
   sectors on electricity supply and electricity reliability theory is
   utilised to quantify electricity supply interruptions. The two models
   are combined to quantify two key indexes: the inoperability of different
   economic sectors and their losses under electricity supply
   unreliability. Further, an optimal model is designed to allocate
   available electricity to minimise the economic losses of these sectors
   when electricity supply is interrupted. Two UK electricity generation
   scenarios are used to demonstrate the concept. It is found that economic
   sectors have various degrees of dependency on electricity supply and
   their losses also differ significantly. In addition, more wind power
   penetration could jeopardize electricity supply adequacy and
   consequences to other sectors. The findings can assist policy makers to
   understand the importance of electricity security to other sectors and
   quantify potential economic losses so that new policies and regulations
   can be designed to mitigate the adverse consequences, such as developing
   the capacity market. (C) 2018 Elsevier Ltd. All rights reserved.}},
Publisher = {{PERGAMON-ELSEVIER SCIENCE LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND}},
Type = {{Article; Proceedings Paper}},
Language = {{English}},
Affiliation = {{Gu, CH (Corresponding Author), Univ Bath, Dept Elect \& Elect Engn, Bath BA2 7AY, Avon, England.
   Gu, Chenghong; Ma, Kang, Univ Bath, Dept Elect \& Elect Engn, Bath BA2 7AY, Avon, England.
   Zhang, Xin, Natl Grid, Elect Natl Control Ctr, Wokingham, England.
   Yan, Jie, North China Elect Power Univ, Beijing, Peoples R China.
   Song, Yonghua, Zhejiang Univ, Hangzhou, Zhejiang, Peoples R China.}},
DOI = {{10.1016/j.renene.2018.01.103}},
ISSN = {{0960-1481}},
Keywords = {{Inoperability; Interdependency; Leontief input-output; Reliability; Wind
   power; Electricity supply}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; POWER-SYSTEM; WIND FARMS; ENERGY; GAS; DEMAND}},
Research-Areas = {{Science \& Technology - Other Topics; Energy \& Fuels}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Energy \& Fuels}},
Author-Email = {{cg277@bath.ac.uk}},
ResearcherID-Numbers = {{Gu, Chenghong/AAH-1540-2019
   Gu, Chenghong/AAF-1190-2019
   }},
ORCID-Numbers = {{Gu, Chenghong/0000-0002-3306-767X
   Zhang, Xin/0000-0002-6063-959X
   Ma, Kang/0000-0002-0606-9469}},
Funding-Acknowledgement = {{EPSRCEngineering \& Physical Sciences Research Council (EPSRC)
   {[}EP/M000141/1]}},
Funding-Text = {{This work is in part supported by EPSRC project (EP/M000141/1).}},
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Number-of-Cited-References = {{29}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{16}},
Journal-ISO = {{Renew. Energy}},
Doc-Delivery-Number = {{GA7CB}},
Unique-ID = {{ISI:000428491100011}},
DA = {{2020-08-06}},
}

@article{ ISI:000439793900004,
Author = {Clark, Craig A. and Ganesh-Babu, Bharath and Elless, Travis J. and Lyza,
   Anthony W. and Koning, Dana M. and Carne, Alexander R. and Boney, Holly
   A. and Sink, Amanda M. and Barrick, Justin M.},
Title = {{Spatio-temporal November and March snowfall trends in the Lake Michigan
   region}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2018}},
Volume = {{38}},
Number = {{8}},
Pages = {{3250-3263}},
Month = {{JUN 30}},
Abstract = {{This study has investigated the spatio-temporal variability of November
   and March Lake Michigan snowfall for the period 1950-2013. Snowfall
   characteristics were assessed using time series analysis, geographic
   information systems, and visualization. Results indicate significant
   temporal decreases of November and March snowfall, peak inter-annual
   variability within the lake-effect belt, modest concurrent and lagged
   sensitivity to teleconnection indices, and strong dependence of snowfall
   on temperature. The decreased snowfall is in contrast to
   December-February snowfall and associated with a decreasing fraction of
   November and March precipitation days occurring as snow days, rather
   than changes in precipitation frequency. The decreasing fraction of
   precipitation days occurs as snowfall is consistent with synoptic-scale
   disturbances producing rain rather than snow and lake-effect rain
   falling in lieu of snow.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Clark, CA (Corresponding Author), Valparaiso Univ, Dept Geog \& Meteorol, 1809 Chapel Dr, Valparaiso, IN 46383 USA.
   Clark, Craig A.; Ganesh-Babu, Bharath; Elless, Travis J.; Lyza, Anthony W.; Koning, Dana M.; Carne, Alexander R.; Boney, Holly A.; Sink, Amanda M.; Barrick, Justin M., Valparaiso Univ, Valparaiso, IN 46383 USA.}},
DOI = {{10.1002/joc.5498}},
ISSN = {{0899-8418}},
EISSN = {{1097-0088}},
Keywords = {{climate change; Great Lakes; inter-annual variability; lake-effect snow}},
Keywords-Plus = {{LAURENTIAN GREAT-LAKES; ERIE; PROJECTIONS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{craig.clark@valpo.edu}},
ORCID-Numbers = {{Clark, Craig/0000-0001-8389-7519}},
Funding-Acknowledgement = {{Valparaiso University}},
Funding-Text = {{Valparaiso University}},
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Number-of-Cited-References = {{21}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{GO2IS}},
Unique-ID = {{ISI:000439793900004}},
DA = {{2020-08-06}},
}

@article{ ISI:000436046500026,
Author = {Park, Young-Hyang and Kim, Baek-Min and Pak, Gyundo and Yamamoto, Masaru
   and Vivier, Frederic and Durand, Isabelle},
Title = {{A key process of the nonstationary relationship between ENSO and the
   Western Pacific teleconnection pattern}},
Journal = {{SCIENTIFIC REPORTS}},
Year = {{2018}},
Volume = {{8}},
Month = {{JUN 22}},
Abstract = {{Recent studies have discovered an intriguing nonstationary relationship
   between El Nino-Southern Oscillation (ENSO) and the Western Pacific (WP)
   teleconnection pattern, one of the most prominent winter atmospheric
   circulation patterns in the North Pacific, with a regime-dependent
   interdecadal modulation of significant and insignificant correlations.
   However, the physical process underlying the observed nonstationary
   ENSO-WP relationship is a puzzle and remains to be elucidated, which is
   also essential for clarifying the still-debated nontrivial issue on
   whether the WP is directly forced by ENSO or by midlatitude storm
   tracks-driven intrinsic processes. Based on empirical orthogonal
   function (EOF) analysis of the upper-tropospheric teleconnection
   patterns and associated Rossby wave sources (RWS), we show that the
   nonstationarity in question is due to the regime-dependent constructive
   or destructive interference in meridional overturning circulation
   between the two leading EOFs of RWS best correlated with ENSO and WP,
   respectively. The observed insignificant correlation between ENSO and
   the WP after the 1988 regime shift can be explained by interrupted
   teleconnection between the tropics and high latitudes due to the
   collapse of the subtropical bridge pillar in the jet entrance region,
   consequence of the destructive interference. This suggested interference
   mechanism related to the regime-dependent upper-level RWS fields has
   significant implications for resolving the puzzle that hinders better
   understanding of decadal regime behaviors of the climate system in the
   North Pacific.}},
Publisher = {{NATURE PUBLISHING GROUP}},
Address = {{MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Park, YH (Corresponding Author), Univ Paris 06, UPMC, Sorbonne Univ, Lab LOCEAN,IPSL,CNRS,IRD,MNHN, Paris, France.
   Park, Young-Hyang; Vivier, Frederic; Durand, Isabelle, Univ Paris 06, UPMC, Sorbonne Univ, Lab LOCEAN,IPSL,CNRS,IRD,MNHN, Paris, France.
   Kim, Baek-Min, KOPRI, Unit Arctic Sea Ice Predict, Incheon, South Korea.
   Pak, Gyundo, Korea Inst Ocean Sci \& Technol, Busan, South Korea.
   Yamamoto, Masaru, Kyushu Univ, Res Inst Appl Mech, Kasuga, Fukuoka, Japan.}},
DOI = {{10.1038/s41598-018-27906-z}},
Article-Number = {{9512}},
ISSN = {{2045-2322}},
Keywords-Plus = {{ASIAN WINTER MONSOON; NORTH PACIFIC; ATMOSPHERIC CIRCULATION; REGIME
   SHIFTS; STORM TRACKS; VARIABILITY; PLANETARY}},
Research-Areas = {{Science \& Technology - Other Topics}},
Web-of-Science-Categories  = {{Multidisciplinary Sciences}},
Author-Email = {{young-hyang.park@mnhn.fr}},
ResearcherID-Numbers = {{Yamamoto, Masaru/O-8716-2018
   }},
ORCID-Numbers = {{Yamamoto, Masaru/0000-0001-5663-3614
   Vivier, Frederic/0000-0003-2539-4133}},
Funding-Acknowledgement = {{Korea Polar Research Institute Project {[}PE17130]; Korea Meteorological
   Administration Research and Development Program {[}KMI2018-03810
   (PN18040)]}},
Funding-Text = {{This paper has been written during the 2-month visit of Y.-H.P. as
   invited professor in the RIAM, Kyushu University, Japan. B.-M.K. is
   supported by Korea Polar Research Institute Project (PE17130) and by the
   Korea Meteorological Administration Research and Development Program
   under Grant KMI2018-03810 (PN18040). Constructive comments from three
   anonymous reviewers and the editor greatly strengthened the original
   manuscript.}},
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Number-of-Cited-References = {{38}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{8}},
Journal-ISO = {{Sci Rep}},
Doc-Delivery-Number = {{GK3LI}},
Unique-ID = {{ISI:000436046500026}},
OA = {{DOAJ Gold, Green Published}},
DA = {{2020-08-06}},
}

@article{ ISI:000436018900006,
Author = {Ridoutt, Bradley G. and Hadjikakou, Michalis and Nolan, Martin and
   Bryan, Brett A.},
Title = {{From Water-Use to Water-Scarcity Footprinting in Environmentally
   Extended Input-Output Analysis}},
Journal = {{ENVIRONMENTAL SCIENCE \& TECHNOLOGY}},
Year = {{2018}},
Volume = {{52}},
Number = {{12}},
Pages = {{6761-6770}},
Month = {{JUN 19}},
Abstract = {{Environmentally extended input-output analysis (EEIOA) supports
   environmental policy by quantifying how demand for goods and services
   leads to resource use and emissions across the economy. However, some
   types of resource use and emissions require spatially explicit impact
   assessment for meaningful interpretation, which is not possible in
   conventional EEIOA. For example, water use in locations of scarcity and
   of abundance are not environmentally equivalent. Opportunities for
   spatially explicit impact assessment in conventional EEIOA are limited
   because official input-output tables tend to be produced at the scale of
   political units, which are not usually well-aligned with environmentally
   relevant spatial units. In this study, spatially explicit water-scarcity
   factors and a spatially disaggregated Australian water-use account were
   used to develop water-scarcity extensions that were coupled with a
   multiregional input-output model (MRIO). The results link demand for
   agricultural commodities to the problem of water scarcity in Australia
   and globally. Important differences were observed between the water-use
   and water-scarcity footprint results as well as the relative importance
   of direct and indirect water use, with significant implications for
   sustainable production and consumption-related policies. The approach
   presented here is suggested as a feasible general approach for
   incorporating spatially explicit impact assessments in EEIOA.}},
Publisher = {{AMER CHEMICAL SOC}},
Address = {{1155 16TH ST, NW, WASHINGTON, DC 20036 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Ridoutt, BG (Corresponding Author), CSIRO, Agr \& Food, Melbourne, Vic 3169, Australia.
   Ridoutt, BG (Corresponding Author), Univ Free State, Dept Agr Econ, ZA-9300 Bloemfontein, South Africa.
   Ridoutt, Bradley G., CSIRO, Agr \& Food, Melbourne, Vic 3169, Australia.
   Ridoutt, Bradley G., Univ Free State, Dept Agr Econ, ZA-9300 Bloemfontein, South Africa.
   Hadjikakou, Michalis; Bryan, Brett A., Deakin Univ, Sch Life \& Environm Sci, Melbourne, Vic 3125, Australia.
   Nolan, Martin, CSIRO Land \& Water, Adelaide, SA 5064, Australia.}},
DOI = {{10.1021/acs.est.8b00416}},
ISSN = {{0013-936X}},
EISSN = {{1520-5851}},
Keywords-Plus = {{GLOBAL SUPPLY CHAINS; INTERNATIONAL-TRADE; RESOURCE FOOTPRINTS;
   CONSUMPTION; CARBON; SCALE; HOTSPOTS; IMPACTS; CONTEXT; MODELS}},
Research-Areas = {{Engineering; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Engineering, Environmental; Environmental Sciences}},
Author-Email = {{brad.ridoutt@csiro.au}},
ResearcherID-Numbers = {{Nolan, Martin/J-5483-2013
   Bryan, Brett Anthony/F-8949-2010
   Hadjikakou, Michalis/F-1820-2014
   Ridoutt, Bradley/D-3329-2011}},
ORCID-Numbers = {{Bryan, Brett Anthony/0000-0003-4834-5641
   Hadjikakou, Michalis/0000-0002-3667-3982
   Ridoutt, Bradley/0000-0001-7352-0427}},
Funding-Acknowledgement = {{CSIROCommonwealth Scientific \& Industrial Research Organisation
   (CSIRO); Deakin University; Australian Research CouncilAustralian
   Research Council {[}LE160100066]}},
Funding-Text = {{We acknowledge the financial support of CSIRO and Deakin University. We
   thank Javier Navarro-Garcia and Oswald Marinoni for their work on the
   agricultural profit map from which the production quantities and water
   requirements were taken. The input output tables underpinning this
   research were sourced from the Industrial Ecology Virtual Laboratory
   (IELab, www.ielab.info), which is supported by the Australian Research
   Council (grant no. LE160100066). LELab data feeds and routines written
   by Manfred Lenzen, Arne Geschke and Arunima Malik were used.}},
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Number-of-Cited-References = {{80}},
Times-Cited = {{14}},
Usage-Count-Last-180-days = {{4}},
Usage-Count-Since-2013 = {{55}},
Journal-ISO = {{Environ. Sci. Technol.}},
Doc-Delivery-Number = {{GK3CU}},
Unique-ID = {{ISI:000436018900006}},
DA = {{2020-08-06}},
}

@article{ ISI:000436249900048,
Author = {Abdillah, Muhammad Rais and Kanno, Yuki and Iwasaki, Toshiki},
Title = {{Strong Linkage of El Nino-Southern Oscillation to the Polar Cold Air
   Mass in the Northern Hemisphere}},
Journal = {{GEOPHYSICAL RESEARCH LETTERS}},
Year = {{2018}},
Volume = {{45}},
Number = {{11}},
Pages = {{5643-5652}},
Month = {{JUN 16}},
Abstract = {{The total hemispheric polar cold air mass (PCAM) amount below a
   threshold potential temperature is conserved under an adiabatic
   condition and is a good indicator of polar warming. While the long-term
   PCAM trends have been investigated, the cause of its interannual
   variability remains uncertain. Here we find that the El Nino-Southern
   Oscillation has a strong impact on the total northern hemispheric PCAM
   amount below a potential temperature of 280K. The correlation
   coefficient between the Nino-3.4 and the total PCAM reaches -0.66 over
   36 recent winters. During El Nino, the PCAM decreases significantly
   because of the shorter PCAM residence time at high latitudes. The
   Aleutian Low intensifies and effectively transfers the PCAM from North
   America to the North Pacific, causing a significant decrease in the PCAM
   amount over the northern part of North America and a strengthening of
   cold air outflows over the central North Pacific. The PCAM coming to the
   warm ocean disappears rapidly and results in the imbalance of the
   hemispheric PCAM. This study reveals a notable influence of the tropical
   forcing on the variability of polar climate.
   Plain Language Summary The polar cold air mass (PCAM) is an important
   component of Earth's lower troposphere. This study finds a strong
   influence of the tropical signal of the El Nino-Southern Oscillation on
   the PCAM budget in the Northern Hemisphere using a quantitative
   estimation of the PCAM. During El Nino, the total hemispheric PCAM
   amount decreases significantly because of large dissipation of the PCAM
   over the North Pacific Ocean. This result improves our understanding of
   how El Nino-Southern Oscillation affects the polar climate.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Abdillah, MR (Corresponding Author), Tohoku Univ, Grad Sch Sci, Dept Geophys, Sendai, Miyagi, Japan.
   Abdillah, Muhammad Rais; Kanno, Yuki; Iwasaki, Toshiki, Tohoku Univ, Grad Sch Sci, Dept Geophys, Sendai, Miyagi, Japan.
   Kanno, Yuki, Nagoya Univ, Inst Space Earth Environm Res, Nagoya, Aichi, Japan.}},
DOI = {{10.1029/2018GL077612}},
ISSN = {{0094-8276}},
EISSN = {{1944-8007}},
Keywords = {{polar cold air mass; El Nino-Southern Oscillation; teleconnection}},
Keywords-Plus = {{GEOPOTENTIAL HEIGHT; ISENTROPIC ANALYSIS; TELECONNECTIONS; CIRCULATION;
   ATMOSPHERE}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary}},
Author-Email = {{m.rais.a@dc.tohoku.ac.jp}},
ResearcherID-Numbers = {{Iwasaki, Toshiki/AAE-1601-2019
   }},
ORCID-Numbers = {{Iwasaki, Toshiki/0000-0003-2110-0687
   Kanno, Yuki/0000-0001-7587-6697
   Abdillah, Muhammad Rais/0000-0003-2426-0547}},
Funding-Acknowledgement = {{Japanese Ministry of Education, Culture, Sports, Science and Technology
   (MEXT)Ministry of Education, Culture, Sports, Science and Technology,
   Japan (MEXT) {[}15H02129]; Program on Climate Change Adaptation
   Technology (SI-CAT); MEXTMinistry of Education, Culture, Sports, Science
   and Technology, Japan (MEXT); JSPSMinistry of Education, Culture,
   Sports, Science and Technology, Japan (MEXT)Japan Society for the
   Promotion of Science {[}16J01722]}},
Funding-Text = {{This study is partly supported by the Japanese Ministry of Education,
   Culture, Sports, Science and Technology (MEXT) through Grant-in-Aid
   15H02129 and the Program on Climate Change Adaptation Technology
   (SI-CAT). M. R. A. is grateful to MEXT for the scholarship support. Y.
   K. is supported by a Grant-in-Aid for Research Fellows (16J01722) of the
   JSPS. We are grateful to the constructive comments from two anonymous
   reviewers and the Editor. The JRA-55 reanalysis data set is available at
   Japan Meteorological Agency (JMA) Data Distribution System
   (http://jra.kishou.go.jp/JRA-55/index\_en.html). The Nino3.4 and AO
   indices are obtained from NOAA (https://www.esrl.noaa.gov/psd/data). The
   codes for analysis and plot used in this paper are publicly available at
   http://doi.org/10.5281/zenodo.1246402.}},
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Number-of-Cited-References = {{34}},
Times-Cited = {{4}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{4}},
Journal-ISO = {{Geophys. Res. Lett.}},
Doc-Delivery-Number = {{GK5WH}},
Unique-ID = {{ISI:000436249900048}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000439792300013,
Author = {Cao, Jie and Ding, Yuchao and Wang, Jian and Tao, Yun},
Title = {{The sea surface temperature configuration of Greenland Sea-subpolar
   region of North Atlantic and the summer rainfall anomaly in low-latitude
   highlands of China}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2018}},
Volume = {{38}},
Number = {{7}},
Pages = {{3082-3089}},
Month = {{JUN 15}},
Abstract = {{Based on reanalysis and observational data sets, the present study
   reveals that the variability of summer rainfall in the low-latitude
   highlands of China (CLLH) is significantly correlated to the sea surface
   temperature (SST) configuration from the Greenland Sea (GS)
   southeastwards to the subpolar region of North Atlantic (NASR). The SST
   configuration orientated in northwest-southeast direction exerts its
   impact on the summer rainfall coming into the CLLH via modifying the
   activity of cold air in the northeast CLLH. When SST is warmer than
   normal in the GS and colder than normal around the NASR, a
   teleconnection with an anomalous cyclone over the Europe, an anomalous
   anticyclone around the Lake Baikal and an anomalous cyclone over the
   East Asia will be forced out by the dispersion of Rossby wave on the
   spherical surface of the earth. The teleconnection traversing
   Europe-East China is favourable to transportation of cold air from the
   East Siberian southwestwards to the CLLH and thus gives rise to the
   increase of summer rainfall in the CLLH. When SST is colder than normal
   in the GS and warmer than normal around the NASR, the similar
   teleconnection with opposite phase is forced out, causing a less than
   normal summer rainfall in the CLLH.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Cao, J (Corresponding Author), Yunnan Univ, Dept Atmospher Sci, Kunming 650091, Yunnan, Peoples R China.
   Tao, Y (Corresponding Author), Meteorol Inst Yunnan Prov, Kunming 650073, Yunnan, Peoples R China.
   Cao, Jie; Ding, Yuchao; Wang, Jian, Yunnan Univ, Dept Atmospher Sci, Kunming 650091, Yunnan, Peoples R China.
   Cao, Jie, Yunnan Key Lab Int Rivers \& Transboundary Ecosecu, Kunming, Yunnan, Peoples R China.
   Tao, Yun, Meteorol Inst Yunnan Prov, Kunming 650073, Yunnan, Peoples R China.}},
DOI = {{10.1002/joc.5484}},
ISSN = {{0899-8418}},
EISSN = {{1097-0088}},
Keywords = {{Greenland Sea; low-latitude highlands; Rossby waves; sea surface
   temperature configuration; subpolar region of North Atlantic; summer
   rainfall}},
Keywords-Plus = {{VARYING BASIC FLOW; WAVE-ACTIVITY FLUX; ROSSBY WAVES; IMPACT;
   OSCILLATION; STATIONARY; DROUGHT; JET; FORMULATION; CLIMATE}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{caoj@ynu.edu.cn
   cqkty@163.com}},
ORCID-Numbers = {{Cao, Jie/0000-0003-0256-761X}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}U1502233, 41565002]; Special Projects of China
   Meteorological Administration {[}CMAYBY2018-069]}},
Funding-Text = {{National Natural Science Foundation of China, Grant/Award Number:
   U1502233, 41565002; Special Projects of China Meteorological
   Administration, Grant/Award Number: CMAYBY2018-069}},
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Number-of-Cited-References = {{38}},
Times-Cited = {{3}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{9}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{GO2IF}},
Unique-ID = {{ISI:000439792300013}},
OA = {{Other Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000431848500138,
Author = {Ma, Feng and Ye, Aizhong and You, Jinjun and Duan, Qingyun},
Title = {{2015-16 floods and droughts in China, and its response to the strong El
   Nino}},
Journal = {{SCIENCE OF THE TOTAL ENVIRONMENT}},
Year = {{2018}},
Volume = {{627}},
Pages = {{1473-1484}},
Month = {{JUN 15}},
Abstract = {{The features of hydro-climate anomalies in China in 2015-2016 were
   analyzed in great detail, togetherwith possible responses to the super
   2015-16 El Nino event. The 2015-16 El Nino is characterized as a
   ``strong{''} event in terms of the duration, intensity, and coverage of
   warming sea surface temperature (SST) in the central and east-central
   equatorial Pacific incomparison to the 1982-83 and 1997-98 events. The
   floods and droughts frequency were incidence of floods and droughts per
   year, respectively. The results show several significant anomalies in
   China: 1) About 9\%-173\% of precipitation variance in 2015-16 can be
   attributed to this El Nino; 2) There was significant inconformity
   between hydro-climate anomalies and the occurrence of floods and
   droughts; 3) Flood frequency has increased, especially over Southeast
   China and the Yangtze River in the summer of 2016; 4) Drought frequency
   has also increased, especially over Northeast China in summer of 2015,
   Northwest China in spring of 2016, and most parts in winter of 2015. The
   response of China hydro-climate anomalies to the 2015-16 El Nino was
   significant via El Nino and warm Indian Ocean induced circulation
   anomalies, which were characterized by stronger and more
   westward-extending western Pacific subtropical high and anomalous water
   vapor transport. Knowledge of the response of hydro-climate extremes to
   El Nino can provide valuable information to improve flood and drought
   forecasting in China. (c) 2018 Elsevier B.V. All rights reserved.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Ye, AZ (Corresponding Author), Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface \& Ecol Resources, Beijing 100875, Peoples R China.
   Ma, Feng; Ye, Aizhong; Duan, Qingyun, Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface \& Ecol Resources, Beijing 100875, Peoples R China.
   You, Jinjun, China Inst Water Resources \& Hydropower Res, State Key Lab Simulat \& Regulat Water Cycle River, Beijing 100038, Peoples R China.}},
DOI = {{10.1016/j.scitotenv.2018.01.280}},
ISSN = {{0048-9697}},
EISSN = {{1879-1026}},
Keywords = {{Hydro-climate extremes; 2015-16 El Nino; Impact; China}},
Keywords-Plus = {{ASIAN SUMMER MONSOON; EAST-ASIA; ENSO; RAINFALL; PACIFIC; IMPACTS;
   CLIMATE; PRECIPITATION; TELECONNECTION; VARIABILITY}},
Research-Areas = {{Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Environmental Sciences}},
Author-Email = {{azye@bnu.edu.cn}},
ResearcherID-Numbers = {{Duan, Qingyun/C-7652-2011
   }},
ORCID-Numbers = {{Duan, Qingyun/0000-0001-9955-1512
   ye, aizhong/0000-0002-5272-134X}},
Funding-Acknowledgement = {{Natural Science Foundation of ChinaNational Natural Science Foundation
   of China {[}41475093]; Intergovernmental Key International S\&T
   Innovation Cooperation Program {[}2016YFE0102400]; State Key Laboratory
   of Earth Surface Processes and Resource Ecology Open Research Program
   {[}2017-KF-17]}},
Funding-Text = {{This work was supported by the Natural Science Foundation of China
   {[}No. 41475093]; the Intergovernmental Key International S\&T
   Innovation Cooperation Program {[}No. 2016YFE0102400]; and the State Key
   Laboratory of Earth Surface Processes and Resource Ecology Open Research
   Program (NO. 2017-KF-17). We would like to thank China Meteorological
   Administration (http://data.cma.cn) for making precipitation and
   temperature information available and hydrology bureau for providing
   streamflow data.}},
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Number-of-Cited-References = {{68}},
Times-Cited = {{15}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{46}},
Journal-ISO = {{Sci. Total Environ.}},
Doc-Delivery-Number = {{GF3IV}},
Unique-ID = {{ISI:000431848500138}},
DA = {{2020-08-06}},
}

@article{ ISI:000439792300010,
Author = {Walz, Michael A. and Befort, Daniel J. and Kirchner-Bossi, Nicolas Otto
   and Ulbrich, Uwe and Leckebusch, Gregor C.},
Title = {{Modelling serial clustering and inter-annual variability of European
   winter windstorms based on large-scale drivers}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2018}},
Volume = {{38}},
Number = {{7}},
Pages = {{3044-3057}},
Month = {{JUN 15}},
Abstract = {{Winter windstorms are known to be among the most dangerous and loss
   intensive natural hazards in Europe. In order to gain a better
   understanding of their variability and driving mechanisms, this study
   analyses the temporal variability which is often referred to as serial
   or seasonal clustering. This is realized by developing a statistical
   model relating the winter storm counts to known teleconnection patterns
   affecting European weather and climate conditions (e.g., North Atlantic
   Oscillation {[}NAO], Scandinavian pattern {[}SCA], etc.). The
   statistical model is developed via a stepwise Poisson regression
   approach that is applied to windstorm counts and large-scale indices
   retrieved from the ERA-20C reanalysis. Significant large-scale drivers
   accountable for the inter-annual variability of storms for several
   European regions are identified and compared. In addition to the SCA and
   the NAO which are found to be the essential drivers for most areas
   within the European domain, other teleconnections (e.g., East Atlantic
   pattern) are found to be more significant for the inter-annual
   variability in certain regions. Furthermore, the statistical model
   allows an estimation of the expected number of storms per winter season
   and also whether a season has the characteristic of being what we define
   an active or inactive season. The statistical model reveals high skill
   particularly over British Isles and central Europe; however, even for
   regions with less frequent storm events (e.g., southern and eastern
   Europe) the model shows adequate positive skill. This feature could be
   of specific interest for the actuarial sector.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Leckebusch, GC (Corresponding Author), Univ Birmingham, Sch Geog Earth \& Environm Sci, Birmingham B15 2TT, W Midlands, England.
   Walz, Michael A.; Befort, Daniel J.; Kirchner-Bossi, Nicolas Otto; Leckebusch, Gregor C., Univ Birmingham, Sch Geog Earth \& Environm Sci, Birmingham B15 2TT, W Midlands, England.
   Kirchner-Bossi, Nicolas Otto, Newcastle Univ, Sch Civil Engn \& Geosci, Newcastle Upon Tyne, Tyne \& Wear, England.
   Ulbrich, Uwe, Free Univ Berlin, Inst Meteorol, Berlin, Germany.}},
DOI = {{10.1002/joc.5481}},
ISSN = {{0899-8418}},
EISSN = {{1097-0088}},
Keywords = {{extratropical cyclones; large-scale drivers; North Atlantic Oscillation;
   Poisson model; Scandinavian pattern; serial clustering; statistical
   modelling; windstorms}},
Keywords-Plus = {{NORTH-ATLANTIC OSCILLATION; ARCTIC SEA-ICE; EXTRATROPICAL CYCLONES;
   CLIMATE; CIRCULATION; IMPACT; SIMULATIONS; ENSEMBLE; PATTERNS; REGION}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{g.c.leckebusch@bham.ac.uk}},
Funding-Acknowledgement = {{European Commission, Research Executive Agency, Marie Curie Actions -
   Career Integration Grant {[}322208]; Natural Environment Research
   CouncilNERC Natural Environment Research Council; Risk Prediction
   Initiative of the Bermuda Institute of Ocean Sciences}},
Funding-Text = {{European Commission, Research Executive Agency, Marie Curie Actions -
   Career Integration Grant, Grant/Award Number: 322208; Natural
   Environment Research Council, Grant/Award Number: CENTA DTP PhD
   Scholarship; Risk Prediction Initiative of the Bermuda Institute of
   Ocean Sciences, Grant/Award Number: Project SeaStoC}},
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Number-of-Cited-References = {{38}},
Times-Cited = {{7}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{5}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{GO2IF}},
Unique-ID = {{ISI:000439792300010}},
OA = {{Green Published, Other Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000432762000009,
Author = {Montanez, Isabel P. and Osleger, Dillon J. and Chen, Jitao and Wortham,
   Barbara E. and Stamm, Robert G. and Nemyrovska, Tamara I. and Griffin,
   Julie M. and Poletaev, Vladislav I. and Wardlaw, Bruce R.},
Title = {{Carboniferous climate teleconnections archived in coupled bioapatite
   delta O-18(PO4) and Sr-87/Sr-86 records from the epicontinental Donets
   Basin, Ukraine}},
Journal = {{EARTH AND PLANETARY SCIENCE LETTERS}},
Year = {{2018}},
Volume = {{492}},
Pages = {{89-101}},
Month = {{JUN 15}},
Abstract = {{Reconstructions of paleo-seawater chemistry are largely inferred from
   biogenic records of epicontinental seas. Recent studies provide
   considerable evidence for large-scale spatial and temporal variability
   in the environmental dynamics of these semi-restricted seas that leads
   to the decoupling of epicontinental isotopic records from those of the
   open ocean. We present conodont apatite delta O-18(PO4) and Sr-87/Sr-86
   records spanning 24 Myr of the late Mississippian through Pennsylvanian
   derived from the U-Pb calibrated cyclothemic succession of the Donets
   Basin, eastern Ukraine. On a 2 to 6 Myr-scale, systematic fluctuations
   in bioapatite delta O-18(PO4) and Sr-87/Sr-86 broadly follow major
   shifts in the Donets onlap-offlap history and inferred regional climate,
   but are distinct from contemporaneous more open-water delta O-18(PO4)
   and global seawater Sr isotope trends.
   A -1 to -6 parts per thousand offset in Donets delta O-18(PO4) values
   from those of more open-water conodonts and greater temporal variability
   in delta O-18(PO4) and Sr-87/Sr-86 records are interpreted to primarily
   record climatically driven changes in local environmental processes in
   the Donets sea. Systematic isotopic shifts associated with Myr-scale
   sea-level fluctuations, however, indicate an extrabasinal driver. We
   propose a mechanistic link to glacioeustasy through a teleconnection
   between high-latitude ice changes and atmospheric pCO(2) and regional
   monsoonal circulation in the Donets region. Inferred large-magnitude
   changes in Donets seawater salinity and temperature, not archived in the
   more open-water or global contemporaneous records, indicate a
   modification of the global climate signal in the epicontinental sea
   through amplification or dampening of the climate signal by local and
   regional environmental processes. This finding of global climate change
   filtered through local processes has implications for the use of
   conodont delta O-18(PO4) and Sr-87/Sr-86 values as proxies of
   paleo-seawater composition, mean temperature, and glacioeustasy. (C)
   2018 Elsevier B.V. All rights reserved.}},
Publisher = {{ELSEVIER}},
Address = {{RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Montanez, IP; Osleger, DJ (Corresponding Author), Univ Calif Davis, Dept Earth \& Planetary Sci, Davis, CA 95616 USA.
   Osleger, DJ (Corresponding Author), Univ Calif Santa Barbara, Dept Earth \& Environm Sci, Santa Barbara, CA 93106 USA.
   Montanez, Isabel P.; Osleger, Dillon J.; Chen, Jitao; Wortham, Barbara E.; Griffin, Julie M., Univ Calif Davis, Dept Earth \& Planetary Sci, Davis, CA 95616 USA.
   Chen, Jitao, Chinese Acad Sci, Nanjing Inst Geol \& Palaeontol, CAS Key Lab Econ Stratig \& Palaeogeog, Nanjing 210008, Jiangsu, Peoples R China.
   Stamm, Robert G.; Wardlaw, Bruce R., US Geol Survey, Eastern Geol \& Paleoclimate Sci Ctr, MS-926A, Reston, VA 20192 USA.
   Nemyrovska, Tamara I.; Poletaev, Vladislav I., Ukrainian Acad Sci, Inst Geol Sci, Dept Paleontol \& Stratig, Kiev, Ukraine.
   Osleger, Dillon J., Univ Calif Santa Barbara, Dept Earth \& Environm Sci, Santa Barbara, CA 93106 USA.}},
DOI = {{10.1016/j.epsl.2018.03.051}},
ISSN = {{0012-821X}},
EISSN = {{1385-013X}},
Keywords = {{late Paleozoic Ice Age; bioapatite isotopic compositions; epicontinental
   sea; glacioeustasy; seawater oxygen isotopic composition; seawater
   strontium isotopic composition}},
Keywords-Plus = {{PALEOZOIC ICE-AGE; CONODONT APATITE; OXYGEN ISOTOPES; MIDCONTINENT SEA;
   NORTH-AMERICA; CALIBRATION; PHOSPHATE; SALINITY; SEAWATER; PALEOCLIMATE}},
Research-Areas = {{Geochemistry \& Geophysics}},
Web-of-Science-Categories  = {{Geochemistry \& Geophysics}},
Author-Email = {{ipmontanez@ucdavis.edu
   djosleger@gmail.com}},
ORCID-Numbers = {{Wortham, Barbara/0000-0002-3437-1657
   Montanez, Isabel/0000-0003-0492-3796
   Chen, Jitao/0000-0001-6898-0963}},
Funding-Acknowledgement = {{NSF Sedimentary Geology and Paleobiology ProgramNational Science
   Foundation (NSF)NSF - Directorate for Geosciences (GEO) {[}EAR-1024737,
   EAR-1338281]}},
Funding-Text = {{This research was supported by NSF Sedimentary Geology and Paleobiology
   Program grants EAR-1024737 and EAR-1338281 to IPM. We thank Ethan
   Grossman, John Repetiski, Blaine Cecil, and two anonymous reviewers for
   feedback that improved the manuscript, and Eric Stevens, Tamsen Burlak,
   and Andrea Chang for assistance in the laboratory research. Any use of
   trade, firm, or product names is for descriptive purposes only and does
   not imply endorsement by the U.S. Government.}},
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