text:
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Number-of-Cited-References = {{25}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{13}},
Journal-ISO = {{Geophys. Res. Lett.}},
Doc-Delivery-Number = {{GI1DU}},
Unique-ID = {{ISI:000434111700067}},
DA = {{2020-08-06}},
}

@article{ ISI:000434111700072,
Author = {Kang, Wanying and Tziperman, Eli},
Title = {{The MJO-SSW Teleconnection: Interaction Between MJO-Forced Waves and the
   Midlatitude Jet}},
Journal = {{GEOPHYSICAL RESEARCH LETTERS}},
Year = {{2018}},
Volume = {{45}},
Number = {{9}},
Pages = {{4400-4409}},
Month = {{MAY 16}},
Abstract = {{The Madden-Julian Oscillation (MJO) was shown to affect both present-day
   sudden stratospheric warming (SSW) events in the Arctic and their future
   frequency under global warming scenarios, with implications to the
   Arctic Oscillation and midlatitude extreme weather. This work uses a dry
   dynamic core model to understand the dependence of SSW frequency on the
   amplitude and longitudinal range of the MJO, motivated by the prediction
   that the MJO will strengthen and broaden its longitudinal range in a
   warmer climate. We focus on the response of the midlatitude jets and the
   corresponding generated stationary waves, which are shown to dominate
   the response of SSW events to MJO forcing. Momentum budget analysis of a
   large ensemble of spinup simulations suggests that the climatological
   jet response is driven by the MJO-forced meridional eddy momentum
   transport. The results suggest that the trends in both MJO amplitude and
   longitudinal range are important for the prediction of the midlatitude
   jet response and for the prediction of SSWs in a future climate.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Kang, WY (Corresponding Author), Harvard Univ, Sch Engn \& Appl Sci, Cambridge, MA 02138 USA.
   Kang, Wanying; Tziperman, Eli, Harvard Univ, Sch Engn \& Appl Sci, Cambridge, MA 02138 USA.
   Tziperman, Eli, Harvard Univ, Dept Earth \& Planetary Sci, Cambridge, MA 02138 USA.}},
DOI = {{10.1029/2018GL077937}},
ISSN = {{0094-8276}},
EISSN = {{1944-8007}},
Keywords = {{MJO; SSW; Arctic; global warming; teleconnection}},
Keywords-Plus = {{MADDEN-JULIAN OSCILLATION; NORTHERN-HEMISPHERE; EXTRATROPICAL RESPONSE;
   STRATOSPHERIC WARMINGS; BASIC INGREDIENTS; EL-NINO; PROPAGATION;
   CLIMATE; EVENTS; MODEL}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary}},
Author-Email = {{wanyingkang@g.harvard.edu}},
ResearcherID-Numbers = {{Kang, Wanying/E-8114-2016
   }},
ORCID-Numbers = {{Kang, Wanying/0000-0002-4615-3702
   Tziperman, Eli/0000-0002-7998-5775}},
Funding-Acknowledgement = {{NSF P2C2 programNational Science Foundation (NSF)NSF - Directorate for
   Geosciences (GEO) {[}OCE-1602864]; Harvard Global Institute; Harvard
   Climate Solutions funds; National Science FoundationNational Science
   Foundation (NSF)}},
Funding-Text = {{This work was supported by the NSF P2C2 program, grant OCE-1602864 and
   by the Harvard Global Institute and Harvard Climate Solutions funds. E.
   T. thanks the Weizmann Institute for its hospitality during parts of
   this work. We would like to acknowledge high-performance computing
   support from Yellowstone provided by NCAR's Computational and
   Information Systems Laboratory, sponsored by the National Science
   Foundation. Model parameter files and analysis scripts used to generate
   model output and analyze it are available on the authors' web page,
   under http://www.seas.harvard.edu/climate/eli/Downloads/MJO-SSW/.}},
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Number-of-Cited-References = {{35}},
Times-Cited = {{6}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{14}},
Journal-ISO = {{Geophys. Res. Lett.}},
Doc-Delivery-Number = {{GI1DU}},
Unique-ID = {{ISI:000434111700072}},
DA = {{2020-08-06}},
}

@article{ ISI:000430994500013,
Author = {Wang, H. and Ang, B. W.},
Title = {{Assessing the role of international trade in global CO2 emissions: An
   index decomposition analysis approach}},
Journal = {{APPLIED ENERGY}},
Year = {{2018}},
Volume = {{218}},
Pages = {{146-158}},
Month = {{MAY 15}},
Abstract = {{Trade-related CO2 emissions are an important component in global
   emissions. Understanding the role of international trade in emissions is
   of direct relevance to global and national emission reductions,
   particularly for major exporters and importers. In the literature, the
   issue has seldom been studied using index decomposition analysis (IDA),
   which is a popular tool in assessing growth in national-level CO2
   emissions. In this paper, based on a multi-region I-O analysis, we
   introduce three inter-linked IDA models to quantify the impacts of trade
   on the production-based emissions, the consumption-based emissions, and
   the emission balance of economies, respectively. A salient feature of
   the models, when applied together, is that they can help to assess the
   role of trade and the emission performance of economies from multiple
   perspectives. We discuss the relevant methodological issues as well as
   the advantages and limitations of the models. We then apply the models
   to evaluate the impact of international trade on changes in global CO2
   emissions from 1995 to 2009. It is found that while the growing trade
   volume drove up the total emissions, changes in the emission intensity
   and goods composition related to trade led to some degree of emission
   mitigation, particularly after 2005.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Wang, H (Corresponding Author), Natl Univ Singapore, Dept Ind Syst Engn \& Management, Singapore, Singapore.
   Wang, H.; Ang, B. W., Natl Univ Singapore, Dept Ind Syst Engn \& Management, Singapore, Singapore.
   Ang, B. W., Natl Univ Singapore, Energy Studies Inst, Singapore, Singapore.}},
DOI = {{10.1016/j.apenergy.2018.02.180}},
ISSN = {{0306-2619}},
EISSN = {{1872-9118}},
Keywords = {{Global CO2 emissions; International trade; Index decomposition analysis;
   Production-based emissions; Consumption-based emissions}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; GREEN ENERGY ECONOMY; CARBON; CONSUMPTION; CHINA;
   INTENSITY; DRIVERS; UK}},
Research-Areas = {{Energy \& Fuels; Engineering}},
Web-of-Science-Categories  = {{Energy \& Fuels; Engineering, Chemical}},
Author-Email = {{wh@upc.edu.cn}},
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Number-of-Cited-References = {{59}},
Times-Cited = {{35}},
Usage-Count-Last-180-days = {{4}},
Usage-Count-Since-2013 = {{43}},
Journal-ISO = {{Appl. Energy}},
Doc-Delivery-Number = {{GE1RN}},
Unique-ID = {{ISI:000430994500013}},
DA = {{2020-08-06}},
}

@article{ ISI:000430994500030,
Author = {Long, Yin and Yoshida, Yoshikuni},
Title = {{Quantifying city-scale emission responsibility based on input-output
   analysis - Insight from Tokyo, Japan}},
Journal = {{APPLIED ENERGY}},
Year = {{2018}},
Volume = {{218}},
Pages = {{349-360}},
Month = {{MAY 15}},
Abstract = {{Cities play a crucial role in the implementation of carbon emission
   mitigation policies since most CO2 emissions are related to energy
   consumption in urban areas. Recent years, environmentally extended
   multi-regional inputoutput tables (EEMRIO) are emerged to reveal
   regional environment impact considering upstream supply chains crossing
   regional boundaries. However, city-scale MRIO has not been fully
   addressed since more focus has been located on national or prefectural
   level evaluation. For quantifying city-scale emission considering
   regional energy flow, we apply the input-output table of Tokyo to
   evaluate energy consumption at the city scale, and the results provides
   one of the the most detailed sector classification from a wide range of
   city emission studies. In Japan, Tokyo is considered to be
   representative of the contemporary Japanese urban energy structure, and
   its energy consumption and associated CO2 emissions are of major
   importance when making city-scale carbon mitigation policies. Here,
   domestic production for Tokyo and other regions is used to quantify the
   direct and indirect emissions arising from Tokyo final consumption. Our
   results are divided into sector-specific and fossil fuel source-specific
   (coal, crude oil, and natural gas) for both direct and indirect
   emissions. The major findings are as follows: (1) The transportation
   sector accounts for the largest share of direct emissions in Tokyo. (2)
   The energy supply, construction, private service sectors account for the
   largest share of indirect emissions in Tokyo. (3) There are three scopes
   of emission responsibility evaluated in this study: direct emission
   before allocation (BE) as 12.88 MtC, after allocation (AE) as 18.91 MtC,
   and the total including indirect emissions is 27.24 MtC, which is more
   than twice the direct emissions before allocation. The detailed and
   energy consumption and emission inventory may be essential for emission
   responsibility allocation to overcome geographical boundary, therefore,
   contributes to varied scales of carbon reduction policies.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Long, Y (Corresponding Author), Univ Tokyo, Grad Sch Frontier Sci, Dept Environm Syst, 5-1-5 Kashiwanoha, Kashiwa, Chiba 2778563, Japan.
   Long, Yin; Yoshida, Yoshikuni, Univ Tokyo, Grad Sch Frontier Sci, Dept Environm Syst, 5-1-5 Kashiwanoha, Kashiwa, Chiba 2778563, Japan.}},
DOI = {{10.1016/j.apenergy.2018.02.167}},
ISSN = {{0306-2619}},
EISSN = {{1872-9118}},
Keywords = {{Tokyo input-output table; Fuel-specific emission; City emission
   responsibility; Indirect emission; CO2 emission abatement}},
Keywords-Plus = {{STRUCTURAL DECOMPOSITION ANALYSIS; CARBON EMISSIONS; EMBODIED ENERGY;
   CO2 EMISSIONS; ENVIRONMENTAL IMPACTS; CONSUMPTION; CHINA; FOOTPRINT;
   TRADE; MODEL}},
Research-Areas = {{Energy \& Fuels; Engineering}},
Web-of-Science-Categories  = {{Energy \& Fuels; Engineering, Chemical}},
Author-Email = {{long@globalenv.k.u-tokyo.ac.jp}},
ORCID-Numbers = {{Long, Yin/0000-0002-6761-9735}},
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Number-of-Cited-References = {{44}},
Times-Cited = {{25}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{51}},
Journal-ISO = {{Appl. Energy}},
Doc-Delivery-Number = {{GE1RN}},
Unique-ID = {{ISI:000430994500030}},
DA = {{2020-08-06}},
}

@article{ ISI:000426355900150,
Author = {Guo, Hao and Bao, Anming and Liu, Tie and Jiapaer, Guli and Ndayisaba,
   Felix and Jiang, Liangliang and Kurban, Alishir and De Maeyer, Philippe},
Title = {{Spatial and temporal characteristics of droughts in Central Asia during
   1966-2015}},
Journal = {{SCIENCE OF THE TOTAL ENVIRONMENT}},
Year = {{2018}},
Volume = {{624}},
Pages = {{1523-1538}},
Month = {{MAY 15}},
Abstract = {{In drought-prone regions like Central Asia, drought monitoring studies
   are paramount to provide valuable information for drought risk
   mitigation. In this paper, the spatiotemporal drought characteristics in
   Central Asia are analyzed from 1966 to 2015 using the Climatic Research
   Unit (CRU) dataset Drought events, as well as their frequency, duration,
   severity, intensity and preferred season, are studied by using the Run
   theory and the Standardized Precipitation Evapotranspiration Index
   (SPEI) at 3-month, 6-month, and 12-month timescales. The Principle
   Components Analysis (PCA) and the Varimax rotation method, the Sen's
   slope and the Modified Mann-Kendall method (MMK), as well as the wavelet
   analysis are adopted to identify the sub-regional drought patterns and
   to study the drought trend, periodicity and the possible links between
   drought variation and large-scale climate patterns, respectively.
   Results show that the drought characteristics in Central Asia vary
   considerably. The Hexi Corridor region and the southeastern part
   suffered from more short-term drought occurrences which mostly occurred
   in summer while the northeastern part experienced fewer droughts with
   longer duration and higher severity. Central Asia showed an overall
   wetting trend with a switch to drying trend since 2003. Regionally, the
   continuous wetting trend is found in north Kazakhstan while a consistent
   drying in the Aral Sea and Hexi Corridor region is observed in the last
   half-century. For 2003-2015. a significant drying pattern is detected in
   most Central Asia, except the northern Kazakhstan. A common significant
   16-64-month periodical oscillation can be detected over the six
   sub-regions. The drought changes in Central Asia are highly associated
   with ENSO but less related to the Tibetan Plateau pressure. The North
   Atlantic Oscillation has an influence on drought change in most Central
   Asia but less for the Hexi Corridor and the drought variation in eastern
   Central Asia is affected by the strength of the Siberian High. (C) 2017
   Elsevier B.V. All rights reserved.}},
Publisher = {{ELSEVIER}},
Address = {{RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Bao, AM (Corresponding Author), Chinese Acad Sci, Xinjiang Inst Ecol \& Geog, State Key Lab Desert \& Oasis Ecol, Urumqi 830011, Peoples R China.
   Guo, Hao; Bao, Anming; Liu, Tie; Jiapaer, Guli; Jiang, Liangliang; Kurban, Alishir, Chinese Acad Sci, Xinjiang Inst Ecol \& Geog, State Key Lab Desert \& Oasis Ecol, Urumqi 830011, Peoples R China.
   Guo, Hao; Jiang, Liangliang, Univ Chinese Acad Sci, Beijing 100039, Peoples R China.
   Guo, Hao; Jiang, Liangliang; De Maeyer, Philippe, Univ Ghent, Dept Geog, B-9000 Ghent, Belgium.
   Guo, Hao; Bao, Anming; Liu, Tie; Jiang, Liangliang; Kurban, Alishir; De Maeyer, Philippe, Sinobelgian Joint Lab Geoinforrnat, Urumqi, Peoples R China.
   Ndayisaba, Felix, Chinese Acad Sci, Inst Remote Sensing \& Digital Earth, Beijing 100094, Peoples R China.
   Ndayisaba, Felix, Univ Lay Adventists Kigali UNILAK, Fac Environm Sci, PO 6392, Kigali, Rwanda.
   Guo, Hao; Bao, Anming; Liu, Tie; Jiang, Liangliang; Kurban, Alishir; De Maeyer, Philippe, Sinobelgian Joint Lab Geoinforrnat, Ghent, Belgium.}},
DOI = {{10.1016/j.scitotenv.2017.12.120}},
ISSN = {{0048-9697}},
EISSN = {{1879-1026}},
Keywords = {{Drought characteristics; SPEI; Run theory; Drought trend; Drought
   periodicity; Teleconnection}},
Keywords-Plus = {{STANDARDIZED PRECIPITATION INDEX; CLIMATE-CHANGE; VEGETATION DYNAMICS;
   RIVER-BASIN; ARAL SEA; METEOROLOGICAL DROUGHT; 20TH-CENTURY DROUGHT;
   WAVELET TRANSFORM; WATER-RESOURCES; LOESS PLATEAU}},
Research-Areas = {{Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Environmental Sciences}},
Author-Email = {{guohao13@mails.ucas.ac.cn
   baoam@ms.xjb.ac.cn
   liutie@ms.xjb.ac.cn
   glmr@ms.xjb.ac.cn
   davfelix@radi.ac.cn
   alishir@ms.xjb.ac.cn
   Philippe.DeMaeyer@UGent.be}},
ResearcherID-Numbers = {{De Maeyer, Philippe A.M./F-2985-2011
   Guo, Hao/M-1304-2017
   De Maeyer, Philippe/N-7152-2019}},
ORCID-Numbers = {{De Maeyer, Philippe A.M./0000-0001-8902-3855
   Guo, Hao/0000-0003-0036-8879
   De Maeyer, Philippe/0000-0001-8902-3855}},
Funding-Acknowledgement = {{Tianshan Innovation Team Project of Xinjiang Department of Science and
   Technology {[}Y744261]; BOF from Ghent University {[}01SC5017]; Special
   Institute Main Service Program of the Chinese Academy of Sciences
   {[}TSS-2015-014-FW-1-1]; Key Laboratory Program of Xinjiang
   {[}2015KL003]; China Scholarship CouncilChina Scholarship Council
   {[}201604910968]; International Partnership Program of the Chinese
   Academy of Sciences {[}131551KYSB20160002]}},
Funding-Text = {{This work was jointly funded by the International Partnership Program of
   the Chinese Academy of Sciences under Grant No. 131551KYSB20160002,
   Tianshan Innovation Team Project of Xinjiang Department of Science and
   Technology (Grant No. Y744261), the Special Institute Main Service
   Program of the Chinese Academy of Sciences under Grant No.
   TSS-2015-014-FW-1-1 and the Key Laboratory Program of Xinjiang (No.
   2015KL003). H.G. was supported by grants from the China Scholarship
   Council (201604910968) and the BOF co-funding from Ghent University
   (01SC5017) during his stay in Ghent University. Ghent, Belgium.}},
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Number-of-Cited-References = {{141}},
Times-Cited = {{38}},
Usage-Count-Last-180-days = {{21}},
Usage-Count-Since-2013 = {{192}},
Journal-ISO = {{Sci. Total Environ.}},
Doc-Delivery-Number = {{FX8PB}},
Unique-ID = {{ISI:000426355900150}},
DA = {{2020-08-06}},
}

@article{ ISI:000432509000053,
Author = {Wu, Kuei-Yen and Huang, Yun-Hsun and Wu, Jung-Hua},
Title = {{Impact of electricity shortages during energy transitions in Taiwan}},
Journal = {{ENERGY}},
Year = {{2018}},
Volume = {{151}},
Pages = {{622-632}},
Month = {{MAY 15}},
Abstract = {{Taiwan has been limited by several factors in its pursuit of energy
   transitions and rapid development of green energy, including goals of
   achieving a nuclear-free homeland, reducing air pollution, and
   restrictions on receiving capacity of liquefied natural gas reception
   terminals. In other words, Taiwan is restricted to use nuclear energy or
   thermal power generation as transitional technologies to bridge the gap
   in electricity supply-demand before the maturation of renewable energy
   technologies. If electricity demand continues to grow, Taiwan will face
   the risk of electricity shortages, which will affect industrial sectors.
   This study applied the supply-driven input-output and the price models
   to analyse economic impacts of electricity shortages on each sector. The
   simulation results revealed that when electricity supply was reduced by
   1 kWh, Taiwan's overall economic output would decrease by 8.98 NTD in
   2011. A comparison of these sectors shows that sectors with higher
   electricity allocation coefficients had higher direct output impacts,
   while those with higher forward linkages generated higher indirect
   output impacts. The findings also showed that in the majority of
   sectors, indirect output impacts were higher than direct output impacts.
   In other words, neglecting indirect output impacts will result in
   underestimation of total impacts of electricity shortages. (C) 2018
   Elsevier Ltd. All rights reserved.}},
Publisher = {{PERGAMON-ELSEVIER SCIENCE LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Wu, JH (Corresponding Author), Natl Cheng Kung Univ, Dept Resources Engn, Tainan 701, Taiwan.
   Wu, Kuei-Yen; Wu, Jung-Hua, Natl Cheng Kung Univ, Dept Resources Engn, Tainan 701, Taiwan.
   Huang, Yun-Hsun, Ind Technol Res Inst, Ind Econ \& Knowledge Ctr, Hsinchu 310, Taiwan.}},
DOI = {{10.1016/j.energy.2018.03.049}},
ISSN = {{0360-5442}},
EISSN = {{1873-6785}},
Keywords = {{Supply-driven input-output model; Price model; Electricity shortage;
   Inter-industry analysis; Economic impact}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; ECONOMIC-IMPACTS; SUPPLY SECURITY; INTERRUPTIONS;
   INVESTMENT; GENERATION; GROWTH; ISSUES; SYSTEM; COSTS}},
Research-Areas = {{Thermodynamics; Energy \& Fuels}},
Web-of-Science-Categories  = {{Thermodynamics; Energy \& Fuels}},
Author-Email = {{hwaa@mail.ncku.edu.tw}},
Funding-Acknowledgement = {{Ministry of Science and TechnologyMinistry of Education, Culture,
   Sports, Science and Technology, Japan (MEXT) {[}MOST 104-2410-H-006-082]}},
Funding-Text = {{We are grateful for financial support from the Ministry of Science and
   Technology, under the project titled `Application of Supply-driven
   Input-Output Model to Analysis Taiwan's Electricity Sector', project
   number MOST 104-2410-H-006-082. In addition, the authors are very
   grateful to two anonymous reviewers and the editor for their valuable
   comments and recommendations.}},
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Number-of-Cited-References = {{44}},
Times-Cited = {{3}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{8}},
Journal-ISO = {{Energy}},
Doc-Delivery-Number = {{GG2GU}},
Unique-ID = {{ISI:000432509000053}},
DA = {{2020-08-06}},
}

@article{ ISI:000432204900005,
Author = {Babian, Stella and Grieger, Jens and Cubasch, Ulrich},
Title = {{A new index for the wintertime southern hemispheric split jet}},
Journal = {{ATMOSPHERIC CHEMISTRY AND PHYSICS}},
Year = {{2018}},
Volume = {{18}},
Number = {{9}},
Pages = {{6749-6760}},
Month = {{MAY 14}},
Abstract = {{One of the most prominent asymmetric features of the southern
   hemispheric (SH) circulation is the split jet over Australia and New
   Zealand in austral winter. Previous studies have developed indices to
   detect the degree to which the upper-level midlatitude westerlies are
   split and investigated the relationship between split events and the
   low-frequency teleconnection patterns, viz. the Antarctic Oscillation
   (AAO) and the El Nino-Southern Oscillation (ENSO). As the results were
   inconsistent, the relationship between the wintertime SH split jet and
   the climate variability indices remains unresolved and is the focus of
   this study.
   Until now, all split indices' definitions were based on the specific
   region where the split jet is recognizable. We consider the split jet as
   hemispheric rather than a regional feature and propose a new,
   hemispherical index that is based on the principal components (PCs) of
   the zonal wind field for the SH winter. A linear combination of PC2 and
   PC3 of the anomalous monthly (JAS) zonal wind is used to identify
   split-jet conditions.
   In a subsequent correlation analysis, our newly defined PC-based split
   index (PSI) indicates a strong coherence with the AAO. However, this
   significant relationship is unstable over the analysis period; during
   the 1980s, the AAO amplitude was higher than the PSI, and vice versa in
   the 1990s. It is probable that the PSI, as well as the AAO, underlie
   low-frequency variability on the decadal to centennial timescales, but
   the analyzed period is too short to draw these conclusions. A regression
   analysis with the Multivariate ENSO Index points to a nonlinear
   relationship between PSI and ENSO; i.e., split jets occur during both
   strong positive and negative phases of ENSO but rarely under
   ``normal{''} conditions. The Pacific South American (PSA) patterns,
   defined as the second and third modes of the geopotential height
   variability at 500 hPa, correlate poorly with the PSI (r(PSA-1)
   approximate to 0.2 and r(PSA-2) = 0.06), but significantly with the
   individual components (PCs) of the PSI, revealing an indirect influence
   on the SH split-jet variability.
   Our study suggests that the wintertime SH split jet is strongly
   associated with the AAO, while ENSO is to a lesser extent connected to
   the PSI. We conclude that a positive AAO phase, as well as both flavors
   of ENSO and the PSA-1 pattern produce favorable conditions for a SH
   split event.}},
Publisher = {{COPERNICUS GESELLSCHAFT MBH}},
Address = {{BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Babian, S (Corresponding Author), Free Univ Berlin, Meteorol Inst, Carl Heinrich Becker Weg 6-10, D-12165 Berlin, Germany.
   Babian, Stella; Grieger, Jens; Cubasch, Ulrich, Free Univ Berlin, Meteorol Inst, Carl Heinrich Becker Weg 6-10, D-12165 Berlin, Germany.}},
DOI = {{10.5194/acp-18-6749-2018}},
ISSN = {{1680-7316}},
EISSN = {{1680-7324}},
Keywords-Plus = {{EMPIRICAL ORTHOGONAL FUNCTIONS; AMERICAN MODES; ANNULAR MODES;
   VARIABILITY; BLOCKING; CIRCULATION; OSCILLATION; ANOMALIES; RAINFALL;
   TROPICS}},
Research-Areas = {{Environmental Sciences \& Ecology; Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Environmental Sciences; Meteorology \& Atmospheric Sciences}},
Author-Email = {{stella.babian@met.fu-berlin.de}},
ResearcherID-Numbers = {{Grieger, Jens/A-1107-2014}},
ORCID-Numbers = {{Cubasch, Ulrich/0000-0001-9628-4666
   Grieger, Jens/0000-0003-0985-8479}},
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Number-of-Cited-References = {{35}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{Atmos. Chem. Phys.}},
Doc-Delivery-Number = {{GF8FQ}},
Unique-ID = {{ISI:000432204900005}},
OA = {{DOAJ Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000431697100004,
Author = {Stephan, Claudia Christine and Klingaman, Nicholas P. and Vidale, Pier
   Luigi and Turner, Andrew G. and Demory, Marie-Estelle and Guo, Liang},
Title = {{Interannual rainfall variability over China in the MetUM GA6 and GC2
   configurations}},
Journal = {{GEOSCIENTIFIC MODEL DEVELOPMENT}},
Year = {{2018}},
Volume = {{11}},
Number = {{5}},
Pages = {{1823-1847}},
Month = {{MAY 8}},
Abstract = {{Six climate simulations of the Met Office Unified Model Global
   Atmosphere 6.0 and Global Coupled 2.0 configurations are evaluated
   against observations and reanalysis data for their ability to simulate
   the mean state and year-to-year variability of precipitation over China.
   To analyse the sensitivity to air-sea coupling and horizontal
   resolution, atmosphere-only and coupled integrations at atmospheric
   horizontal resolutions of N96, N216 and N512 (corresponding to similar
   to 200, 90 and 40 km in the zonal direction at the equator,
   respectively) are analysed. The mean and interannual variance of
   seasonal precipitation are too high in all simulations over China but
   improve with finer resolution and coupling. Empirical orthogonal
   teleconnection (EOT) analysis is applied to simulated and observed
   precipitation to identify spatial patterns of temporally coherent
   interannual variability in seasonal precipitation. To connect these
   patterns to large-scale atmospheric and coupled air-sea processes,
   atmospheric and oceanic fields are regressed onto the corresponding
   seasonal mean time series. All simulations reproduce the observed
   leading pattern of interannual rainfall variability in winter, spring
   and autumn; the leading pattern in summer is present in all but one
   simulation. However, only in two simulations are the four leading
   patterns associated with the observed physical mechanisms. Coupled
   simulations capture more observed patterns of variability and associate
   more of them with the correct physical mechanism, compared to
   atmosphere-only simulations at the same resolution. However, finer
   resolution does not improve the fidelity of these patterns or their
   associated mechanisms. This shows that evaluating climate models by only
   geographical distribution of mean precipitation and its interannual
   variance is insufficient. The EOT analysis adds knowledge about coherent
   variability and associated mechanisms.}},
Publisher = {{COPERNICUS GESELLSCHAFT MBH}},
Address = {{BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Stephan, CC (Corresponding Author), Univ Reading, Dept Meteorol, Natl Ctr Atmospher Sci Climate, POB 243, Reading RG6 6BB, Berks, England.
   Stephan, Claudia Christine; Klingaman, Nicholas P.; Vidale, Pier Luigi; Turner, Andrew G.; Demory, Marie-Estelle; Guo, Liang, Univ Reading, Dept Meteorol, Natl Ctr Atmospher Sci Climate, POB 243, Reading RG6 6BB, Berks, England.
   Turner, Andrew G., Univ Reading, Dept Meteorol, POB 243, Reading RG6 6BB, Berks, England.
   Demory, Marie-Estelle, Univ Bern, Ctr Space \& Habitabil, Gesell Str 6, CH-3012 Bern, Switzerland.}},
DOI = {{10.5194/gmd-11-1823-2018}},
ISSN = {{1991-959X}},
EISSN = {{1991-9603}},
Keywords-Plus = {{EL-NINO; COMBINATION-MODE; OCEAN CAPACITOR; ENSO; CLIMATE; SUMMER;
   SIMULATION; DATASET; CMIP5; RESOLUTION}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary}},
Author-Email = {{c.c.stephan@reading.ac.uk}},
ResearcherID-Numbers = {{Guo, Liang/AAI-6750-2020
   Marie-Estelle, Demory/O-5684-2019
   Stephan, Claudia Christine/AAL-4455-2020
   Turner, Andrew G/D-2286-2009
   Vidale, Pier Luigi/AAF-6468-2019
   Klingaman, Nicholas P/H-4610-2012}},
ORCID-Numbers = {{Guo, Liang/0000-0002-6004-3884
   Marie-Estelle, Demory/0000-0002-5764-3248
   Turner, Andrew G/0000-0002-0642-6876
   Vidale, Pier Luigi/0000-0002-1800-8460
   Klingaman, Nicholas P/0000-0002-2927-9303}},
Funding-Acknowledgement = {{UK-China Research \& Innovation Partnership Fund through the Met Office
   Climate Science for Service Partnership (CSSP) China as part of the
   Newton Fund; Natural Environment Research CouncilNERC Natural
   Environment Research Council {[}NE/L010976/1]; NERC HPC grant FEBBRAIO;
   NERC HPC grant FEBBRAIO-2 {[}NE/R/H9/37]}},
Funding-Text = {{This work and some of its contributors (Claudia Christine Stephan, Pier
   Luigi Vidale, Andrew G. Turner, Marie-Estelle Demory and Liang Guo) were
   supported by the UK-China Research \& Innovation Partnership Fund
   through the Met Office Climate Science for Service Partnership (CSSP)
   China as part of the Newton Fund. Nicholas P. Klingaman was supported by
   an Independent Research Fellowship from the Natural Environment Research
   Council (NE/L010976/1). The high-resolution model C512 was developed by
   the JWCRP-HRCM group. The C512 simulations were supported by the NERC
   HPC grants FEBBRAIO and FEBBRAIO-2 (NE/R/H9/37), and they were performed
   on the UK National Supercomputing Service ARCHER by Pier Luigi Vidale
   and Karthee Sivalingam.}},
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Number-of-Cited-References = {{71}},
Times-Cited = {{3}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{Geosci. Model Dev.}},
Doc-Delivery-Number = {{GF1LZ}},
Unique-ID = {{ISI:000431697100004}},
OA = {{DOAJ Gold, Green Accepted}},
DA = {{2020-08-06}},
}

@article{ ISI:000456532500003,
Author = {Chakraborty, Arindam},
Title = {{Preceding winter La Nina reduces Indian summer monsoon rainfall}},
Journal = {{ENVIRONMENTAL RESEARCH LETTERS}},
Year = {{2018}},
Volume = {{13}},
Number = {{5}},
Month = {{MAY}},
Abstract = {{Leaving out the strong El Nino Southern Oscillation (ENSO) years, our
   understanding in the interannual variation of the Indian summer monsoon
   rainfall (ISMR) stands poor for the rest. This study quantifies the role
   of ENSO in the preceding winter on ISMR with a particular emphasis on
   ENSO-neutral summer and La Nina winter. Results show that, unlike the
   simultaneous ENSO-ISMR relationship, La Nina of previous winter reduces
   mean rainfall over the country by about 4\% even during ENSO neutral
   summer. Moreover, when ENSO changes phase from La Nina in winter to El
   Nino in summer, ISMR is anomalously lower than during persisting El Nino
   years (-14.5\% and -5.3\%, respectively), increasing the probability of
   severe drought. This suppression effect of La Nina of the preceding
   winter on summer monsoon precipitation over India is mostly experienced
   in its western and southern parts. Principal component analysis of the
   zonal propagation of surface pressure anomalies from winter to summer
   along Northern Hemisphere subtropics decomposes interannual variations
   of seasonally persisting anomalies from zonal propagations. The dominant
   modes are associated with the seasonal transition of the ENSO phase, and
   are well correlated with date of onset and seasonal mean rainfall of
   monsoon over India. These results improve our understanding of the
   interannual variations of ISMR and could be used for diagnostics of
   general circulation models.}},
Publisher = {{IOP PUBLISHING LTD}},
Address = {{TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Chakraborty, A (Corresponding Author), Indian Inst Sci, Ctr Atmospher \& Ocean Sci, Bangalore 560012, Karnataka, India.
   Chakraborty, A (Corresponding Author), Indian Inst Sci, Divecha Ctr Climate Change, Bangalore 560012, Karnataka, India.
   Chakraborty, Arindam, Indian Inst Sci, Ctr Atmospher \& Ocean Sci, Bangalore 560012, Karnataka, India.
   Chakraborty, Arindam, Indian Inst Sci, Divecha Ctr Climate Change, Bangalore 560012, Karnataka, India.}},
DOI = {{10.1088/1748-9326/aabdd5}},
Article-Number = {{054030}},
ISSN = {{1748-9326}},
Keywords = {{Indian summer monsoon droughts; winter La Nina; moisture flux; global
   delayed teleconnection}},
Keywords-Plus = {{SOUTHERN-OSCILLATION; EL-NINO; GLOBAL MODES; PACIFIC; CLIMATE;
   VARIABILITY; PREDICTION; ATMOSPHERE}},
Research-Areas = {{Environmental Sciences \& Ecology; Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Environmental Sciences; Meteorology \& Atmospheric Sciences}},
Author-Email = {{arch@iisc.ac.in}},
ResearcherID-Numbers = {{Chakraborty, Arindam/M-9044-2014}},
ORCID-Numbers = {{Chakraborty, Arindam/0000-0002-4288-0216}},
Funding-Acknowledgement = {{Department of Science and Technology, IndiaDepartment of Science \&
   Technology (India) {[}DST/CCP/NCM/77/2017]}},
Funding-Text = {{The author acknowledges the support of the Department of Science and
   Technology, India under grant DST/CCP/NCM/77/2017. The author also
   thanks IMD, IITM and NCEP for constructing and distributing invaluable
   data sets used in this study, and J Srinivasan and S Gadgil for
   discussions. The support of IshwarMBhat in analysis is greatly
   appreciated. The author thanks two anonymous reviewers for thorough and
   important comments.}},
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Number-of-Cited-References = {{36}},
Times-Cited = {{7}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{2}},
Journal-ISO = {{Environ. Res. Lett.}},
Doc-Delivery-Number = {{HI5ZJ}},
Unique-ID = {{ISI:000456532500003}},
OA = {{DOAJ Gold, Green Accepted}},
DA = {{2020-08-06}},
}

@article{ ISI:000429650700019,
Author = {Qiao, Shaobo and Hu, Po and Feng, Taichen and Cheng, Jianbo and Han,
   Zixuan and Gong, Zhiqiang and Zhi, Rong and Feng, Guolin},
Title = {{Enhancement of the relationship between the winter Arctic oscillation
   and the following summer circulation anomalies over central East Asia
   since the early 1990s}},
Journal = {{CLIMATE DYNAMICS}},
Year = {{2018}},

path: /data/wos_io/savedrecs (3).bib

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filename: savedrecs (3).bib