text:
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Number-of-Cited-References = {{55}},
Times-Cited = {{11}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{54}},
Journal-ISO = {{Ecol. Econ.}},
Doc-Delivery-Number = {{FW3JM}},
Unique-ID = {{ISI:000425202700015}},
DA = {{2020-08-06}},
}

@article{ ISI:000425202700051,
Author = {Zhu, Yongbin and Shi, Yajuan and Wu, Jing and Wu, Leying and Xiong, Wen},
Title = {{Exploring the Characteristics of CO2 Emissions Embodied in International
   Trade and the Fair Share of Responsibility}},
Journal = {{ECOLOGICAL ECONOMICS}},
Year = {{2018}},
Volume = {{146}},
Pages = {{574-587}},
Month = {{APR}},
Abstract = {{This paper explores the characteristics of embodied CO2 emissions from
   the perspective of carbon inflows, carbon outflows, and the net effects,
   at both an aggregate and bilateral scale. We identify several important
   relationships in bilateral carbon flows, including China-EU, China-USA,
   Russia-EU, and China-Japan, which make China and Russia the largest
   carbon exporters and the EU and the USA the largest carbon importers. A
   further investigation of the sectors contributing to carbon flows shows
   that exports from the mineral, chemicals, metals, oil, transport, and
   other manufacturing sectors are the main cause of carbon outflows, while
   the intermediate inputs of the electricity and transport sectors are the
   primary cause of carbon outflows due to export production. Moreover, we
   propose an intensity-based shared responsibility strategy and find that
   China should take the most responsibility because it is responsible for
   nearly 32\% of all embodied emissions, due to its less efficient and
   high carbon-intensive technologies. The USA and the EU follow China,
   with shares of 13.2\% and 11.3\%, respectively, owing to their heavy
   consumption. As a result, China and the USA contribute 31.8\% and
   20.6\%, respectively, of the total global emissions, outweighing the
   aggregated contribution from all other countries/regions.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Wu, J (Corresponding Author), Chinese Acad Sci, Inst Sci \& Dev, Beijing 100190, Peoples R China.
   Zhu, Yongbin; Wu, Jing, Chinese Acad Sci, Inst Sci \& Dev, Beijing 100190, Peoples R China.
   Zhu, Yongbin; Wu, Jing, Univ Chinese Acad Sci, Beijing 100190, Peoples R China.
   Shi, Yajuan, Chinese Acad Sci, Inst Geog Sci \& Nat Resources Res, Beijing 100101, Peoples R China.
   Shi, Yajuan, Henan Univ Technol, Zhengzhou 450001, Henan, Peoples R China.
   Wu, Leying, Henan Univ, Kaifeng 475001, Peoples R China.
   Xiong, Wen, Beijing Technol \& Business Univ, Beijing 100048, Peoples R China.}},
DOI = {{10.1016/j.ecolecon.2017.12.020}},
ISSN = {{0921-8009}},
EISSN = {{1873-6106}},
Keywords = {{Embodied emission; GHG accounting; Producer responsibility; Consumer
   responsibility; Shared responsibility; Input-output analysis}},
Keywords-Plus = {{GHG EMISSIONS; CONSUMPTION; CARBON; ENERGY; SHANGHAI; ACCOUNTS;
   PRODUCER; TIANJIN}},
Research-Areas = {{Environmental Sciences \& Ecology; Business \& Economics}},
Web-of-Science-Categories  = {{Ecology; Economics; Environmental Sciences; Environmental Studies}},
Author-Email = {{zhuyongbin@casipm.ac.cn
   wujing@casipm.ac.cn}},
Funding-Acknowledgement = {{National Basic Research Program of ChinaNational Basic Research Program
   of China {[}2016YFA0602700, 2012CB955804]; National Social Science
   Foundation of China {[}14CGJ025]; National Science Foundation of
   ChinaNational Natural Science Foundation of China {[}41201594]}},
Funding-Text = {{This work was supported by the National Basic Research Program of China
   {[}grant number 2016YFA0602700, 2012CB955804]; the National Social
   Science Foundation of China {[}grant number 14CGJ025]; and the National
   Science Foundation of China {[}grant number 41201594].}},
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Number-of-Cited-References = {{45}},
Times-Cited = {{18}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{60}},
Journal-ISO = {{Ecol. Econ.}},
Doc-Delivery-Number = {{FW3JM}},
Unique-ID = {{ISI:000425202700051}},
DA = {{2020-08-06}},
}

@article{ ISI:000428099800040,
Author = {Roman-Collado, Rocio and Colinet, Maria Jose},
Title = {{Is energy efficiency a driver or an inhibitor of energy consumption
   changes in Spain? Two decomposition approaches}},
Journal = {{ENERGY POLICY}},
Year = {{2018}},
Volume = {{115}},
Pages = {{409-417}},
Month = {{APR}},
Abstract = {{The 2000-2008 expansion period of the economy was accompanied by an
   important increase of energy consumption. The desire of decoupling has
   led us to analyse the driving forces behind the energy consumption
   changes during this expansion period through a structural decomposition
   analysis (SDA) based on the Spanish input-output tables. Previous
   decomposition has been supplemented by a Logarithmic Mean Divisia Index
   (LMDI) analysis of the energy consumption changes during a longer
   period: 2000-2013. The results show that the energy intensity was the
   main inhibitor effect of the energy consumption changes of sectors of
   production, not only during the recession but also during the expansion
   period. Secondly, the energy intensity was a driver of the energy
   consumption change of households during the expansion period. However,
   during the recession period, the energy intensity of private transport
   contributed to reducing energy consumption, having an inhibitor effect.
   Therefore, if the activity effect is still the most important driver,
   the energy intensity effect has become the main inhibitor of energy
   consumption changes. The energy policy recommendation is to focus on
   household energy consumption in the future if the Spanish Government
   aims to attain the EU energy efficiency objectives.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Roman-Collado, R (Corresponding Author), Univ Seville, Fac Ciencias Econ \& Empresariales, Dept Anal Econ \& Econ Polit, Ave Ramon \& Cajal 1, Seville 41018, Spain.
   Roman-Collado, Rocio, Univ Autonoma Chile, Providencia, Chile.
   Roman-Collado, Rocio; Colinet, Maria Jose, Univ Seville, Seville, Spain.}},
DOI = {{10.1016/j.enpol.2018.01.026}},
ISSN = {{0301-4215}},
EISSN = {{1873-6777}},
Keywords = {{Final energy consumption; Energy intensity; Structural decomposition
   analysis; Index decomposition analysis; Energy efficiency policy}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; ECONOMIC-GROWTH; LMDI DECOMPOSITION; DRIVING
   FORCES; CO2 EMISSIONS; INTENSITY; SYSTEM; ATTRIBUTION; EVOLUTION;
   COUNTRIES}},
Research-Areas = {{Business \& Economics; Energy \& Fuels; Environmental Sciences \&
   Ecology}},
Web-of-Science-Categories  = {{Economics; Energy \& Fuels; Environmental Sciences; Environmental
   Studies}},
Author-Email = {{rroman@us.es}},
ResearcherID-Numbers = {{Roman, Rocio/K-1240-2014}},
ORCID-Numbers = {{Roman, Rocio/0000-0001-8636-2093}},
Funding-Acknowledgement = {{Andalusian Regional Government {[}SEJ 132]; Spanish Ministry of Economy
   and Competitiveness {[}ECO2014-56399-R]; Universidad Autonoma de Chile
   (Chile); Chilean Education Ministry {[}018/FONDECYT/16]}},
Funding-Text = {{The authors acknowledge the funding received from the SEJ 132 project of
   the Andalusian Regional Government, the ECO2014-56399-R Project of the
   Spanish Ministry of Economy and Competitiveness. The first author also
   acknowledges the funding provided by the Universidad Autonoma de Chile
   (Chile) and by the project No 018/FONDECYT/16 of the Chilean Education
   Ministry. The standard disclaimer applies.}},
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Number-of-Cited-References = {{79}},
Times-Cited = {{16}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{24}},
Journal-ISO = {{Energy Policy}},
Doc-Delivery-Number = {{GA1TH}},
Unique-ID = {{ISI:000428099800040}},
DA = {{2020-08-06}},
}

@article{ ISI:000426504400005,
Author = {Pongratz, Julia and Dolman, Han and Don, Axel and Erb, Karl-Heinz and
   Fuchs, Richard and Herold, Martin and Jones, Chris and Kuemmerle, Tobias
   and Luyssaert, Sebastiaan and Meyfroidt, Patrick and Naudts, Kim},
Title = {{Models meet data: Challenges and opportunities in implementing land
   management in Earth system models}},
Journal = {{GLOBAL CHANGE BIOLOGY}},
Year = {{2018}},
Volume = {{24}},
Number = {{4}},
Pages = {{1470-1487}},
Month = {{APR}},
Abstract = {{As the applications of Earth system models (ESMs) move from general
   climate projections toward questions of mitigation and adaptation, the
   inclusion of land management practices in these models becomes crucial.
   We carried out a survey among modeling groups to show an evolution from
   models able only to deal with land-cover change to more sophisticated
   approaches that allow also for the partial integration of land
   management changes. For the longer term a comprehensive land management
   representation can be anticipated for all major models. To guide the
   prioritization of implementation, we evaluate ten land management
   practicesforestry harvest, tree species selection, grazing and mowing
   harvest, crop harvest, crop species selection, irrigation, wetland
   drainage, fertilization, tillage, and firefor (1) their importance on
   the Earth system, (2) the possibility of implementing them in
   state-of-the-art ESMs, and (3) availability of required input data.
   Matching these criteria, we identify low-hanging fruits for the
   inclusion in ESMs, such as basic implementations of crop and forestry
   harvest and fertilization. We also identify research requirements for
   specific communities to address the remaining land management practices.
   Data availability severely hampers modeling the most extensive land
   management practice, grazing and mowing harvest, and is a limiting
   factor for a comprehensive implementation of most other practices.
   Inadequate process understanding hampers even a basic assessment of crop
   species selection and tillage effects. The need for multiple advanced
   model structures will be the challenge for a comprehensive
   implementation of most practices but considerable synergy can be gained
   using the same structures for different practices. A continuous and
   closer collaboration of the modeling, Earth observation, and land system
   science communities is thus required to achieve the inclusion of land
   management in ESMs.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Review}},
Language = {{English}},
Affiliation = {{Pongratz, J (Corresponding Author), Max Planck Inst Meteorol, Hamburg, Germany.
   Pongratz, Julia; Naudts, Kim, Max Planck Inst Meteorol, Hamburg, Germany.
   Dolman, Han; Luyssaert, Sebastiaan, Vrije Univ Amsterdam, Dept Earth Sci, Amsterdam, Netherlands.
   Don, Axel, Thunen Inst Climate Smart Agr, Braunschweig, Germany.
   Erb, Karl-Heinz, Alpen Adria Univ Klagenfurt Wien, Inst Social Ecol Vienna SEC, Vienna, Austria.
   Fuchs, Richard, Vrije Univ Amsterdam, Dept Earth Sci, Geog Grp, Amsterdam, Netherlands.
   Herold, Martin, Wageningen Univ \& Res, Lab Geoinformat Sci \& Remote Sensing, Wageningen, Netherlands.
   Jones, Chris, Met Off Hadley Ctr, Exeter, Devon, England.
   Kuemmerle, Tobias, Humboldt Univ, Geog Dept, Berlin, Germany.
   Kuemmerle, Tobias, Humboldt Univ, Integrat Res Inst Transformat Human Environm Syst, Berlin, Germany.
   Meyfroidt, Patrick, Catholic Univ Louvain, Georges Lemaitre Ctr Earth \& Climate Res, Earth \& Life Inst, Louvain La Neuve, Belgium.
   Meyfroidt, Patrick, FNRS, FRS, Louvain La Neuve, Belgium.
   Meyfroidt, Patrick, FNRS, FRS, Brussels, Belgium.}},
DOI = {{10.1111/gcb.13988}},
ISSN = {{1354-1013}},
EISSN = {{1365-2486}},
Keywords = {{climate; croplands; Earth observations; Earth system models; forestry;
   grazing; land management; land use}},
Keywords-Plus = {{CARBON-DIOXIDE EMISSIONS; GREENHOUSE-GAS EMISSIONS; GLOBAL VEGETATION
   MODEL; HUMAN APPROPRIATION; CLIMATE-CHANGE; COVER CHANGES; FIRE SPREAD;
   WATER-VAPOR; NITROGEN; IMPACTS}},
Research-Areas = {{Biodiversity \& Conservation; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Biodiversity Conservation; Ecology; Environmental Sciences}},
Author-Email = {{julia.pongratz@mpimet.mpg.de}},
ResearcherID-Numbers = {{Naudts, Kim/O-4551-2017
   Pongratz, Julia/AAG-3274-2019
   Meyfroidt, Patrick/G-7768-2012
   Kuemmerle, Tobias/B-4340-2008
   Naudts, Kim/AAN-6015-2020
   Erb, Karlheinz/Z-4731-2019
   Herold, Martin/F-8553-2012
   Jones, Chris/I-2983-2014
   }},
ORCID-Numbers = {{Naudts, Kim/0000-0001-6108-180X
   Kuemmerle, Tobias/0000-0002-9775-142X
   Naudts, Kim/0000-0001-6108-180X
   Erb, Karlheinz/0000-0002-8335-4159
   Herold, Martin/0000-0003-0246-6886
   Jones, Chris/0000-0002-7141-9285
   Pongratz, Julia/0000-0003-0372-3960
   Dolman, A.J./0000-0003-0099-0457}},
Funding-Acknowledgement = {{International Space Science Institute (Bern); German Research
   Foundation's Emmy Noether ProgramGerman Research Foundation (DFG) {[}PO
   1751/1-1]; Fonds de la Recherche Scientifique (F.R.S.-FNRS/Belgium)Fonds
   de la Recherche Scientifique - FNRS; UK BEIS/Defra Met Office Hadley
   Centre Climate Programme {[}GA01101]; EU H project CRESCENDO {[}641816];
   FP7 LUC4C {[}603542]; NESSC}},
Funding-Text = {{International Space Science Institute (Bern); German Research
   Foundation's Emmy Noether Program, Grant/Award Number: PO 1751/1-1;
   Fonds de la Recherche Scientifique (F.R.S.-FNRS/Belgium); Joint UK
   BEIS/Defra Met Office Hadley Centre Climate Programme, Grant/Award
   Number: GA01101; EU H2020 project CRESCENDO, Grant/Award Number: 641816;
   FP7 LUC4C, Grant/Award Number: 603542; NESSC}},
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Number-of-Cited-References = {{135}},
Times-Cited = {{24}},
Usage-Count-Last-180-days = {{5}},
Usage-Count-Since-2013 = {{69}},
Journal-ISO = {{Glob. Change Biol.}},
Doc-Delivery-Number = {{FY0MB}},
Unique-ID = {{ISI:000426504400005}},
OA = {{Green Published, Other Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000431999600065,
Author = {Azorin-Molina, Cesar and Rehman, Shafiqur and Guijarro, Jose A. and
   McVicar, Tim R. and Minola, Lorenzo and Chen, Deliang and
   Vicente-Serrano, Sergio M.},
Title = {{Recent trends in wind speed across Saudi Arabia, 1978-2013: a break in
   the stilling}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2018}},
Volume = {{38}},
Number = {{1}},
Pages = {{E966-E984}},
Month = {{APR}},
Abstract = {{We analyse recent trends and variability of observed near-surface wind
   speed from 19 stations across Saudi Arabia (SA) for 1978-2013. The raw
   wind speed data set was subject to a robust homogenization protocol, and
   the stations were then classified under three categories: (1) coast, (2)
   inland and (3) mountain stations. The results reveal a statistically
   significant (p<0.05) reduction of wind speed of -0.058m s(-1) dec(-1) at
   annual scale across SA, with decreases in winter (-0.100m s(-1) dec(-1))
   and spring (-0.066m s(-1) dec(-1)) also detected, being non-significant
   in summer and autumn. The coast, inland and mountain series showed
   similar magnitude and significance of the declining trends across all SA
   series, except for summer when a decoupled variability and opposite
   trends of wind speed between the coast and inland series (significant
   declines: -0.101m s(-1) dec(-1) and -0.065m s(-1) dec(-1), respectively)
   and the high-elevation mountain series (significant increase: +0.041m
   s(-1) dec(-1)) were observed. Even though wind speed declines dominated
   across much of the country throughout the year, only a small number of
   stations showed statistically significant negative trends in summer and
   autumn. Most interestingly, a break in the stilling was observed in the
   last 12-year (2002-2013) period (+0.057m s(-1) dec(-1); not significant)
   compared to the significant slowdown detected in the previous 24-year
   (1978-2001) period (-0.089m s(-1) dec(-1)). This break in the slowdown
   of winds, even followed by a non-significant recovery trend, occurred in
   all seasons (and months) except for some winter months. Atmospheric
   circulation plays a key role in explaining the variability of winds,
   with the North Atlantic Oscillation positively affecting the annual wind
   speed, the Southern Oscillation displaying a significant negative
   relationship with winds in winter, spring and autumn, and the Eastern
   Atlantic negatively modulating winds in summer.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Azorin-Molina, C (Corresponding Author), Univ Gothenburg, Dept Earth Sci, Box 460, S-40530 Gothenburg, Sweden.
   Azorin-Molina, Cesar; Minola, Lorenzo; Chen, Deliang, Univ Gothenburg, Dept Earth Sci, Reg Climate Grp, Gothenburg, Sweden.
   Rehman, Shafiqur, King Fahd Univ Petr \& Minerals, Res Inst, Ctr Engn Res, Dhahran, Saudi Arabia.
   Guijarro, Jose A., State Meteorol Agcy AEMET, Delegat Balearic Isl, Palma De Mallorca, Spain.
   McVicar, Tim R., CSIRO Land \& Water, Canberra, ACT, Australia.
   McVicar, Tim R., Univ New South Wales, Australian Res Council, Ctr Excellence Climate Syst Sci, Sydney, NSW, Australia.
   Vicente-Serrano, Sergio M., CSIC, IPE, Dept Proc Geoambientales \& Cambio Global, Zaragoza, Spain.}},
DOI = {{10.1002/joc.5423}},
ISSN = {{0899-8418}},
EISSN = {{1097-0088}},
Keywords = {{wind speed; trends; stilling break; teleconnection indices; Saudi Arabia}},
Keywords-Plus = {{RESOURCE ASSESSMENT; FIELD SIGNIFICANCE; GLOBAL TRENDS; HOMOGENIZATION;
   OSCILLATION; VARIABILITY; IMPACT; ANEMOMETER; EXTENSION; PORTUGAL}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{cesar.azorin-molina@gu.se}},
ResearcherID-Numbers = {{Guijarro, Jose A/L-3744-2014
   Vicente-Serrano, Sergio M. M/G-3104-2012
   Chen, Deliang/A-5107-2013
   Rehman, Shafiqur/A-9763-2008
   Azorin-Molina, Cesar/A-9510-2012}},
ORCID-Numbers = {{Guijarro, Jose A/0000-0002-9527-9758
   Vicente-Serrano, Sergio M. M/0000-0003-2892-518X
   Chen, Deliang/0000-0003-0288-5618
   Rehman, Shafiqur/0000-0002-2209-9617
   McVicar, Tim/0000-0002-0877-8285
   Azorin-Molina, Cesar/0000-0001-5913-7026}},
Funding-Acknowledgement = {{European Union's Horizon research and innovation programme {[}703733];
   Swedish BECC; MERGE; VRSwedish Research Council {[}2014-5320]}},
Funding-Text = {{C. A-M. has received funding from the European Union's Horizon 2020
   research and innovation programme under the Marie Skodowska-Curie grant
   agreement no. 703733 (STILLING project). This research was supported by
   the research projects: Swedish BECC, MERGE, VR (2014-5320). The authors
   thank the King Fahd University of Petroleum and Minerals for providing
   the technical support and the Presidency of Meteorology and Environment
   of Saudi Arabia for the observed wind speed data. The authors wish to
   acknowledge the anonymous reviewers for their detailed and helpful
   comments to the original manuscript.}},
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Number-of-Cited-References = {{66}},
Times-Cited = {{14}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{6}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{GF5IJ}},
Unique-ID = {{ISI:000431999600065}},
OA = {{Other Gold, Green Published}},
DA = {{2020-08-06}},
}

@article{ ISI:000431999600055,
Author = {Qin, Minhua and Li, Dongliang and Dai, Aiguo and Hua, Wenjian and Ma,
   Hedi},
Title = {{The influence of the Pacific Decadal Oscillation on North Central China
   precipitation during boreal autumn}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2018}},
Volume = {{38}},
Number = {{1}},
Pages = {{E821-E831}},
Month = {{APR}},
Abstract = {{Decadal variations in autumn (September-October-November, SON)
   precipitation over North Central China since the 1940s are investigated
   using observations and reanalysis data. They are found to be
   significantly correlated negatively with the Pacific Decadal Oscillation
   (PDO). Further analyses indicate that the inter-decadal changes in SON
   precipitation over North Central China result from anomaly patterns in
   the large-scale atmospheric circulation in the mid-latitude Northern
   Hemisphere associated with the PDO. Specifically, during the negative
   phase of the PDO (1945-1976 and 2003-2014), an anomalous low pressure
   and cyclonic circulation are seen west of Lake Baikal, while positive
   pressure anomalies are located over the East Asia-Japan-North Pacific
   region, which weakens the East Asian trough (EAT). The weakened EAT
   favours southerly winds over North Central China. The negative pressure
   anomalies around Mongolia and Lake Baikal induce large-scale ascent
   motion to the west of the EAT, which also produces southerly advection
   of warm and moist air into North Central China, leading to increased
   precipitation there. These results reinforce the notion that PDO has a
   large impact on SON rainfall over North Central China on decadal
   timescales and highlight the need to further examine how the PDO induces
   the Eurasia atmospheric teleconnection pattern (e.g. East
   Atlantic/Western Russia pattern).}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Dai, AG; Hua, WJ (Corresponding Author), SUNY Albany, Dept Atmospher \& Environm Sci, Albany, NY 12222 USA.
   Qin, Minhua; Li, Dongliang; Hua, Wenjian; Ma, Hedi, Nanjing Univ Informat Sci \& Technol, Key Lab Meteorol Disaster, Minist Educ KLME,CIC FEMD, Joint Int Res Lab Climate \& Environm Change ILCEC, Nanjing, Jiangsu, Peoples R China.
   Qin, Minhua; Dai, Aiguo; Hua, Wenjian, SUNY Albany, Dept Atmospher \& Environm Sci, Albany, NY 12222 USA.}},
DOI = {{10.1002/joc.5410}},
ISSN = {{0899-8418}},
EISSN = {{1097-0088}},
Keywords = {{Pacific Decadal Oscillation; inter-decadal variability; North Central
   China; autumn precipitation}},
Keywords-Plus = {{INTERDECADAL CLIMATE VARIABILITY; ASIAN SUMMER MONSOON; ATMOSPHERIC
   CIRCULATION; SST ANOMALIES; EAST CHINA; RAINFALL; WINTER; ENSO;
   ASSOCIATION; TEMPERATURE}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{adai@albany.edu
   wen-jian@nuist.edu.cn}},
ResearcherID-Numbers = {{Hua, Wenjian/Y-2834-2018
   Dai, Aiguo/Y-2443-2019
   }},
ORCID-Numbers = {{Hua, Wenjian/0000-0002-9705-3234
   Qin, Minhua/0000-0001-8950-2848}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}41605034]; Special Scientific Research Fund of
   Meteorological Public Welfare Profession of China {[}GYHY201506001-1];
   National Key Research and Development Program of China
   {[}2016YFA0600702]; Priority Academic Program Development of Jiangsu
   Higher Education Institutions (PAPD); U.S. National Science
   FoundationNational Science Foundation (NSF) {[}AGS-1353740]; U.S.
   Department of Energy's Office of ScienceUnited States Department of
   Energy (DOE) {[}DE-SC0012602]; U.S. National Oceanic and Atmospheric
   AdministrationNational Oceanic Atmospheric Admin (NOAA) - USA
   {[}NA15OAR4310086]; Training Program of Practice Innovation for
   Undergraduates in Jiangsu Province {[}201410300046Z]}},
Funding-Text = {{This study was funded by the National Natural Science Foundation of
   China (Grant No. 41605034), the Special Scientific Research Fund of
   Meteorological Public Welfare Profession of China (Grant No.
   GYHY201506001-1), the National Key Research and Development Program of
   China (2016YFA0600702) as well as project funded by the Priority
   Academic Program Development of Jiangsu Higher Education Institutions
   (PAPD). A. Dai is supported by the U.S. National Science Foundation
   (Grant \#AGS-1353740), U.S. Department of Energy's Office of Science
   (Award \#DE-SC0012602) and the U.S. National Oceanic and Atmospheric
   Administration (Award \#NA15OAR4310086). M. Qin is supported by the
   Training Program of Practice Innovation for Undergraduates in Jiangsu
   Province (201410300046Z). Jia Wu (wujia@cma.gov.cn) from the National
   Climate Center, China Meteorological Administration, kindly provided the
   CN05.1 data. GPCC, NCEP and 20CR reanalysis data sets were provided by
   the NOAA/OAR/ESRL PSD, Boulder, Colorado, USA, from their website at
   http://www.esrl.noaa.gov/psd/. CRU data was achieved from CEDA
   (http://badc.nerc.ac.uk/). JAR-55 reanalysis was obtained from the Japan
   Meteorological Agency (http://jra.kishou.go.jp/)}},
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Number-of-Cited-References = {{66}},
Times-Cited = {{8}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{30}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{GF5IJ}},
Unique-ID = {{ISI:000431999600055}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000431999600087,
Author = {Vera, Carolina S. and Osman, Marisol},
Title = {{Activity of the Southern Annular Mode during 2015-2016 El Nino event and
   its impact on Southern Hemisphere climate anomalies}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2018}},
Volume = {{38}},
Number = {{1}},
Pages = {{E1288-E1295}},
Month = {{APR}},
Abstract = {{Previous studies documented that El Nino (EN) events are in general
   associated with negative phases of the Southern Annular Mode (SAM). EN
   2015-2016 (EN15-16) was one of the three strongest events ever recorded.
   However, it was associated with a SAM positive phase of extreme
   intensity. Furthermore, while the negative linear relationship between
   ENSO and SAM during the most recent period (1986-2014) was significant
   and associated with a narrow uncertainty band, the combined condition of
   both climate patterns in the EN15-16 event was an outlier. The EN15-16
   influence on the austral summer circulation anomalies at the
   extratropical and polar regions of the Southern Hemisphere was
   considerably altered by the strong SAM positive phase, which was evident
   not only at the troposphere but also at the stratosphere. Such
   circulation changes resulted in unusual regional impacts, such as
   negative anomalies of surface air temperature in western Antarctic
   Peninsula and negative precipitation anomalies in southeastern South
   America, ever recorded for previous strong EN events. Further research
   is needed to better understand the mechanisms explaining the SAM
   behaviour during 2015-2016 and its implication for climate
   predictability on seasonal timescales.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Vera, CS (Corresponding Author), Univ Buenos Aires, Fac Ciencias Exactas \& Nat, Ctr Invest Mar \& Atmosfera, Ciudad Univ,Pabellon 2,Piso 2, RA-1432 Buenos Aires, DF, Argentina.
   Vera, Carolina S.; Osman, Marisol, Fac Ciencias Exactas \& Nat Buenos Aires, Dept Ciencias Atmosfera \& Oceanos, Buenos Aires, DF, Argentina.
   Vera, Carolina S.; Osman, Marisol, Univ Buenos Aires, CONICET, Inst Francoargentino Clima \& Sus Impactos, Ctr Invest Mar \& Atmosfera,CNRS,UMI,IFAECI, Buenos Aires, DF, Argentina.}},
DOI = {{10.1002/joc.5419}},
ISSN = {{0899-8418}},
EISSN = {{1097-0088}},
Keywords = {{SAM; PSA patterns; ENSO; southeastern South America}},
Keywords-Plus = {{LOW-FREQUENCY VARIABILITY; ENSO TELECONNECTION; REANALYSES; TRENDS; SAM}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{carolina@cima.fcen.uba.ar}},
ResearcherID-Numbers = {{Osman, Marisol/AAV-2379-2020
   }},
ORCID-Numbers = {{Osman, Marisol/0000-0002-6275-1454
   Vera, Carolina/0000-0003-4032-5232}},
Funding-Acknowledgement = {{Consejo Nacional de Investigaciones Cientificas y Tecnicas
   (CONICET)Consejo Nacional de Investigaciones Cientificas y Tecnicas
   (CONICET) {[}PIP 112-20120100626CO]; UBACyT {[}20020130100489BA]; PIDDEF
   {[}15]; Belmont Forum {[}ANR-15-JCL/-0002-01 CLIMAX]; CONICET,
   ArgentinaConsejo Nacional de Investigaciones Cientificas y Tecnicas
   (CONICET)}},
Funding-Text = {{The research was supported by Consejo Nacional de Investigaciones
   Cientificas y Tecnicas (CONICET) PIP 112-20120100626CO, UBACyT
   20020130100489BA, PIDDEF 2014/2017 Nro 15, Belmont
   Forum/ANR-15-JCL/-0002-01 CLIMAX. M.O. was supported by a postdoctoral
   grant from CONICET, Argentina.}},
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Number-of-Cited-References = {{19}},
Times-Cited = {{9}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{6}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{GF5IJ}},
Unique-ID = {{ISI:000431999600087}},
DA = {{2020-08-06}},
}

@article{ ISI:000429456500014,
Author = {Hart, Neil C. G. and Washington, Richard and Reason, Chris J. C.},
Title = {{On the Likelihood of Tropical-Extratropical Cloud Bands in the South
   Indian Convergence Zone during ENSO Events}},
Journal = {{JOURNAL OF CLIMATE}},
Year = {{2018}},
Volume = {{31}},
Number = {{7}},
Pages = {{2797-2817}},
Month = {{APR}},
Abstract = {{The Southern Hemisphere subtropical convergence zones are important
   regions of rainfall in the subtropics. The south Indian Ocean
   convergence zone (SICZ) has the strongest seasonality and exhibits
   substantial interannual variability in strength and position during
   austral summer. On synoptic time scales, the SICZ is a preferred region
   for the formation of tropical-extratropical (TE) cloud bands with local
   maxima over the southern African mainland and Madagascar. This study
   investigates how the seasonality in satellite-observed cloud band
   frequency emerges from the interplay between the asynchronous seasonal
   cycles in convective instability and upper-level flow, as represented by
   reanalysis data. These atmospheric mean states are diagnosed with a
   gross convective instability metric and a method to distinguish between
   subtropical and eddy-driven jet axes. Month-by-month analysis of these
   diagnostics elucidates how mean-state perturbations during ENSO events
   modify cloud band likelihood. Typically, 150\%-200\% more cloud bands
   develop during La Nina seasons supported by 5 degrees-10 degrees
   latitudinal separation between the local subtropical and eddy-driven
   jets and higher values of convective instability, especially in semiarid
   parts of mainland southern Africa. During El Nino events, fewer cloud
   bands develop over southern Africa in a more convectively stable
   environment without a distinct subtropical jet. However, east of
   Madagascar cloud bands are 150\% more likely. Plausible teleconnection
   pathways based on these ENSO-related perturbations are discussed. The
   paper concludes with a conceptual framing of the seasonal cycle in the
   mean-state pertinent to TE cloud band likelihood.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Hart, NCG (Corresponding Author), Univ Oxford, Sch Geog \& Environm, Oxford, England.
   Hart, Neil C. G.; Washington, Richard, Univ Oxford, Sch Geog \& Environm, Oxford, England.
   Reason, Chris J. C., Univ Cape Town, Dept Oceanog, Cape Town, South Africa.}},
DOI = {{10.1175/JCLI-D-17-0221.1}},
ISSN = {{0894-8755}},
EISSN = {{1520-0442}},
Keywords-Plus = {{SEA-SURFACE TEMPERATURE; SST DIPOLE EVENTS; AFRICAN RAINFALL; EL-NINO;
   SUMMER MONSOON; AUSTRAL SUMMER; OCEAN; VARIABILITY; CIRCULATION; AMERICA}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{neil.hart@ouce.ox.ac.uk}},
ORCID-Numbers = {{Hart, Neil/0000-0002-6902-8699
   Washington, Richard/0000-0003-2521-4614}},
Funding-Acknowledgement = {{U.K. Natural Environment Research Council (NERC)NERC Natural Environment
   Research Council {[}NE/M020207/1, NE/M020223/1]; U.K. Government's
   Department for International Development (DfID)}},
Funding-Text = {{Interpolated OLR data, NOAA Optimally Interpolated SST v2, and NCEP
   Reanalysis-2 data were provided by the NOAA/OAR/ESRL PSD, Boulder,
   Colorado, from their website (http://www.esrl.noaa.gov/psd/). Two
   anonymous reviewers are warmly thanked for their thorough reviews and
   constructive comments that have strengthened this manuscript. This work
   was carried out under the Future Climate for Africa UMFULA project, with
   financial support from the U.K. Natural Environment Research Council
   (NERC), NE/M020207/1 (NCGH and RW) and NE/M020223/1 (CJCR), and the U.K.
   Government's Department for International Development (DfID).}},
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