text:
Phys, Siberian Branch, Ul Lermontova 126a, Irkutsk 664033, Russia.
   Martynova, Yu. V., Russian Acad Sci, Inst Monitoring Climat \& Ecol Syst, Siberian Branch, Tomsk 634055, Russia.
   Martynova, Yu. V., Siberian Reg Hydrometeorol Res Inst, Ul Sovetskaya 30, Novosibirsk 630099, Russia.}},
DOI = {{10.3103/S1068373918030020}},
ISSN = {{1068-3739}},
EISSN = {{1934-8096}},
Keywords = {{Atmospheric blocking; Western Siberia; blocking criterion}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{olgayumarchenko@gmail.com}},
ResearcherID-Numbers = {{Devyatova, Elena/AAD-7640-2020
   Krupchatnikov, Vladimir/A-4933-2014
   Martynova, Yuliya/J-9067-2013
   Antokhina, Olga/A-5312-2014}},
ORCID-Numbers = {{Krupchatnikov, Vladimir/0000-0001-9407-3793
   Devyatova, Elena/0000-0003-2818-5222
   Martynova, Yuliya/0000-0002-1144-5393
   Antokhina, Olga/0000-0002-2120-3574}},
Funding-Acknowledgement = {{Russian Foundation for Basic ResearchRussian Foundation for Basic
   Research (RFBR) {[}17-05-00119, 17-05-00374]}},
Funding-Text = {{This research was supported by the Russian Foundation for Basic Research
   (projects No. 17-05-00119, 17-05-00374).}},
Cited-References = {{{[}Anonymous], 2013, REPORT CLIMATE RUSSI.
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Number-of-Cited-References = {{33}},
Times-Cited = {{3}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{10}},
Journal-ISO = {{Russ. Meteorol. Hydrol.}},
Doc-Delivery-Number = {{GB9AA}},
Unique-ID = {{ISI:000429365200002}},
DA = {{2020-08-06}},
}

@article{ ISI:000427218600021,
Author = {Chauhan, Prashant Singh and Kumar, Anil and Nuntadusit, Chayut},
Title = {{Thermo-environomical and drying kinetics of bitter gourd flakes drying
   under north wall insulated greenhouse dryer}},
Journal = {{SOLAR ENERGY}},
Year = {{2018}},
Volume = {{162}},
Pages = {{205-216}},
Month = {{MAR 1}},
Abstract = {{The greenhouse dryers consist opaque and insulated north wall with solar
   air heating collector at the bottom. It has been used for bitter gourd
   flakes drying under natural and forced modes. Thermal models were
   developed for the both modes of drying. Experiments were performed
   concurrently for open sun, natural and forced modes to compare their
   thermal modeling and drying kinetics results. Energy analysis includes;
   embodied energy, CO2 emission, CO2 mitigation and economic evaluation
   were done for both modes of drying. The predicted values of bitter gourd
   flakes and room air temperature, and moisture evaporation rate showed
   the fair agreement with the experimental observations within the root
   mean square of percentage deviation ranged from 3.25\% to 5.82\% and
   2.83\% to 5.26\%, and the coefficient of correlation ranged from 0.98 to
   0.99 and 0.99 to 1 under natural and forced modes, respectively. The
   final moisture ratio was achieved 0.12 after 15 h, 0.14 after 16 h and
   0.25 after 21 h under forced, natural and open sun modes respectively.
   Crop drying under forced mode is found significantly faster than other
   modes of drying. The Logarithmic model was selected as best curve
   fitting technique for non-linear regression analysis for forced mode.
   The energy payback time of developed dryers under natural and forced
   modes is 1.68 and 2.35 years, respectively. The net CO2 mitigation of
   bitter gourd flakes drying is 33.04 and 36.34 t under natural and forced
   modes, respectively.}},
Publisher = {{PERGAMON-ELSEVIER SCIENCE LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Chauhan, PS; Kumar, A (Corresponding Author), Prince Songkla Univ, Fac Engn, Dept Mech Engn, Hat Yai 90112, Songkhla, Thailand.
   Kumar, A (Corresponding Author), Maulana Azad Natl Inst Technol, Energy Ctr, Dept Energy, Bhopal 462003, India.
   Chauhan, Prashant Singh; Kumar, Anil; Nuntadusit, Chayut, Prince Songkla Univ, Fac Engn, Dept Mech Engn, Hat Yai 90112, Songkhla, Thailand.
   Kumar, Anil, Maulana Azad Natl Inst Technol, Energy Ctr, Dept Energy, Bhopal 462003, India.}},
DOI = {{10.1016/j.solener.2018.01.023}},
ISSN = {{0038-092X}},
Keywords = {{Thermal modeling; Thin layer drying kinetics; Energy analysis; Economic
   analysis}},
Keywords-Plus = {{MASS-TRANSFER COEFFICIENT; EMBODIED ENERGY ANALYSIS;
   INPUT-OUTPUT-ANALYSIS; SOLAR DRYER; EXPERIMENTAL VALIDATION; PERFORMANCE
   ANALYSIS; HEAT-TRANSFER; OPEN SUN; SYSTEMS; MODE}},
Research-Areas = {{Energy \& Fuels}},
Web-of-Science-Categories  = {{Energy \& Fuels}},
Author-Email = {{prashant\_srit@yahoo.co.in
   anilkumar76@gmail.com}},
ResearcherID-Numbers = {{Kumar, Anil/A-9932-2017
   CHAUHAN, PRASHANT SINGH/V-8508-2017}},
ORCID-Numbers = {{Kumar, Anil/0000-0002-2846-4347
   CHAUHAN, PRASHANT SINGH/0000-0002-6402-5018}},
Funding-Acknowledgement = {{Prince of Songkla University, Hat Yai, Thailand; Prince of Songkla
   University (PSU), Hat Yai, Thailand}},
Funding-Text = {{This study is supported by Postdoctoral Fellowship, Prince of Songkla
   University, Hat Yai, Thailand. Authors are highly grateful to Prince of
   Songkla University (PSU), Hat Yai, Thailand for their support.}},
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Number-of-Cited-References = {{41}},
Times-Cited = {{7}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{13}},
Journal-ISO = {{Sol. Energy}},
Doc-Delivery-Number = {{FY9WW}},
Unique-ID = {{ISI:000427218600021}},
DA = {{2020-08-06}},
}

@article{ ISI:000428516000042,
Author = {D'Ercole, Marianna and Righetti, Maurizio and Raspati, Gema Sakti and
   Bertola, Paolo and Ugarelli, Rita Maria},
Title = {{Rehabilitation Planning of Water Distribution Network through a
   Reliability-Based Risk Assessment}},
Journal = {{WATER}},
Year = {{2018}},
Volume = {{10}},
Number = {{3}},
Month = {{MAR}},
Abstract = {{The efficient and effective management of existing water distribution
   systems (WDSs) faces challenges related to aging of infrastructure,
   population growth, extended urbanization, climate change impacts and
   environmental pollution. Therefore, there is a need for integrated
   solutions that support decision makers to plan today potential
   interventions, considering the possible consequences and variations in
   mid- and long-term perspectives. This study is a part of a more
   comprehensive project, where advanced hydraulic analysis of WDS is
   coupled with a dynamic resources input-output analysis model. The
   proposed modeling solution provides a robust tool to support planning of
   intervention actions and can be applied to optimize the performance of a
   water supply system considering energy consumption and environmental
   impacts. This paper presents an application of the proposed method in
   pipe rehabilitation/replacement planning, maximizing the network
   mechanical reliability and minimizing the risk of unsupplied water
   demand and pressure deficit evaluated at nodal level, under given
   economic constraints.}},
Publisher = {{MDPI}},
Address = {{ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{D'Ercole, M (Corresponding Author), Free Univ Bozen, Fac Sci \& Technol, I-39100 Bolzano, Italy.
   D'Ercole, Marianna; Righetti, Maurizio, Free Univ Bozen, Fac Sci \& Technol, I-39100 Bolzano, Italy.
   Raspati, Gema Sakti; Ugarelli, Rita Maria, SINTEF Bldg \& Infrastruct, Grp Water \& Environm, Richard Birkelands Vei 3, N-7034 Trondheim, Norway.
   Bertola, Paolo, Univ Trento, Dept Civil Environm \& Mech Engn, I-38123 Trento, Italy.
   Ugarelli, Rita Maria, Norwegian Univ Sci \& Technol, Dept Civil \& Environm Engn, SP Andersens Veg 5, N-7491 Trondheim, Norway.}},
DOI = {{10.3390/w10030277}},
Article-Number = {{277}},
ISSN = {{2073-4441}},
Keywords = {{water distribution; management; mechanical reliability; risk assessment}},
Keywords-Plus = {{DISTRIBUTION-SYSTEMS; INDICATORS; TOOL}},
Research-Areas = {{Water Resources}},
Web-of-Science-Categories  = {{Water Resources}},
Author-Email = {{Marianna.Dercole@natec.unibz.it
   Maurizio.Righetti@unibz.it
   Gema.Raspati@sintef.no
   Paolo.Bertola@unitn.it
   Rita.Ugarelli@sintef.no}},
ResearcherID-Numbers = {{righetti, maurizio/G-4442-2017
   }},
ORCID-Numbers = {{Raspati, Gema Sakti/0000-0002-2353-035X}},
Funding-Acknowledgement = {{PAB (Autonomy Provence of Bozen-Italy) {[}CUP: B26J16000300003];
   EFRE-FESR project ``Thermo Fluid Dynamics, infrastructures for applied
   research{''} (ERDF) {[}CUP: I52F16000850005]}},
Funding-Text = {{This work has been partially carried out within the Research project
   ``AI-ALPEN{''}, CUP: B26J16000300003 funded by the PAB (Autonomy
   Provence of Bozen-Italy) for University Research-2014. The EFRE-FESR
   project ``Thermo Fluid Dynamics, infrastructures for applied
   research{''} (ERDF 2014-2020, CUP: I52F16000850005) support is also
   acknowledged.}},
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Number-of-Cited-References = {{31}},
Times-Cited = {{7}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{13}},
Journal-ISO = {{Water}},
Doc-Delivery-Number = {{GA7KV}},
Unique-ID = {{ISI:000428516000042}},
OA = {{DOAJ Gold, Green Accepted}},
DA = {{2020-08-06}},
}

@article{ ISI:000435985200005,
Author = {Pei, Jiansuo and Meng, Bo and Wang, Fei and Xue, Jinjun and Zhao,
   Zhongxiu},
Title = {{PRODUCTION SHARING, DEMAND SPILLOVERS AND CO2 EMISSIONS: THE CASE OF
   CHINESE REGIONS IN GLOBAL VALUE CHAINS}},
Journal = {{SINGAPORE ECONOMIC REVIEW}},
Year = {{2018}},
Volume = {{63}},
Number = {{2, SI}},
Pages = {{275-293}},
Month = {{MAR}},
Abstract = {{Recent trade literature highlights production sharing among economies
   {[}Johnson, R and G Noguera (2012). Accounting for intermediates:
   Production sharing and trade in value added. Journal of International
   Economics, 86(2), 224-236), and some studies report that 20-25\% of CO2
   emissions can be attributed to international trade {[}Peters, G, J Minx,
   C Weber and O Edenhofer (2011). Growth in emission transfers via
   international trade from 1990 to 2008.]. Proceedings the National
   Academy of Sciences USA, 108(21), 8903-89081. However, the mechanism
   explaining how and to what extent production sharing affects CO2
   emissions remains unclear. This study, as an extension of {[}Meng, B, J
   Xue, K Feng, D Guan and X Fu (2013a). China's interregional spillover of
   carbon emissions and domestic supply chains. Energy Policy, 61,
   1305-1321.], adopts the perspective of demand spillovers to provide new
   insights regarding the position of Chinese domestic-regions' production
   in Global Value Chains (GVCs) and their associated CO2 emissions. To
   this end, we employed a new type of World Input-Output Database (WIOD)
   in which China's domestic interregional input-output table for 2007 is
   endogenously embedded. The pattern of China's regional demand spillovers
   across both domestic regions and countries is revealed by employing this
   new database. These results were then connected to endowments theory,
   which helps to make sense of the empirical results. It is found that
   China's regions are located relatively upstream in GVCs, and had CO2
   emissions in net exports, which were entirely predicted by the
   environmental extended Heckscher-Ohlin-Vanek (HOV) model. Our study
   points to micro policy instruments to combat climate change: for
   example, tax reform for energy inputs that helps to change the
   production pattern, which then has an impact on trade patterns and so
   forth.}},
Publisher = {{WORLD SCIENTIFIC PUBL CO PTE LTD}},
Address = {{5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Meng, B (Corresponding Author), IDE JETRO, Inst Developing Econ, Tokyo, Japan.
   Pei, Jiansuo; Wang, Fei; Zhao, Zhongxiu, Univ Int Business \& Econ, Beijing 100029, Peoples R China.
   Meng, Bo, IDE JETRO, Inst Developing Econ, Tokyo, Japan.
   Xue, Jinjun, Nagoya Univ, Nagoya, Aichi, Japan.}},
DOI = {{10.1142/S0217590817400112}},
ISSN = {{0217-5908}},
EISSN = {{1793-6837}},
Keywords = {{Production sharing; CO2 emissions; demand spillovers; global value
   chains}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; INTERNATIONAL-TRADE; POLLUTION; GROWTH}},
Research-Areas = {{Business \& Economics}},
Web-of-Science-Categories  = {{Economics}},
Author-Email = {{jspei@amss.ac.cn
   bo\_meng@ide.go.jp
   wangfei64@hotmail.com
   setsu@soec.nagoya-u.ac.jp
   zhxzha@uibe.edu.cn}},
ResearcherID-Numbers = {{Meng, Bo/AAP-5042-2020}},
ORCID-Numbers = {{Meng, Bo/0000-0003-1179-5390}},
Funding-Acknowledgement = {{CIDEG/Tsinghua Univ.-IDE/JETRO-USITC-IGLCE/Nagoya Univ. joint research
   project: ``Tracing China's CO<INF>2</INF> emissions in Global Value
   Chains{''}; National Natural Science Foundation of ChinaNational Natural
   Science Foundation of China {[}41205105]; Program for Young Excellent
   Talents, UIBE {[}2013YQ01]; 2015 Visiting Scholarship Program of
   Economic Research Center of Nagoya University}},
Funding-Text = {{We would like to thank the two Referees for their valuable comments on
   the content of our manuscript and their suggestions for improving the
   document. This paper is supported by the 2014-2015 CIDEG/Tsinghua
   Univ.-IDE/JETRO-USITC-IGLCE/Nagoya Univ. joint research project:
   ``Tracing China's CO<INF>2</INF> emissions in Global Value Chains{''}.
   Jiansuo PEI also acknowledges the financial support by the National
   Natural Science Foundation of China {[}No. 41205105], Program for Young
   Excellent Talents, UIBE {[}No. 2013YQ01] and the 2015 Visiting
   Scholarship Program of Economic Research Center of Nagoya University.}},
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Number-of-Cited-References = {{32}},
Times-Cited = {{5}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{38}},
Journal-ISO = {{Singap. Econ. Rev.}},
Doc-Delivery-Number = {{GK2SN}},
Unique-ID = {{ISI:000435985200005}},
DA = {{2020-08-06}},
}

@article{ ISI:000428304300126,
Author = {Jongdeepaisal, Cholapat and Nasu, Seigo},
Title = {{Economic Impact Evaluation of a Biomass Power Plant Using a Technical
   Coefficient Pre-Adjustment in Hybrid Input-Output Analysis}},
Journal = {{ENERGIES}},
Year = {{2018}},
Volume = {{11}},
Number = {{3}},
Month = {{MAR}},
Abstract = {{This paper presents a new and improved method of hybrid input-output
   (I-O) to evaluate the economic impact of a biomass power plant's
   resource production and consumption. The effect of resource consumption
   induces a change in an economy's production structure and alters the
   technical coefficient of the hybrid I-O table, which should not be
   changed. Our study examines this problem based on two cases: a small
   cut-off ratio from the existing industry, in which the change in the
   technical coefficient can be ignored, and a large cut-off ratio from the
   existing industry, in which the technical coefficient is amended using
   the pre-adjustment method. Consequently, the biomass power plant using
   the large cut-off ratio from the existing industry case contributes
   about 1114 million yen to the local economy. A comparison of these two
   cases shows that the error caused by ignorance of the technical
   coefficient adjustment could result in 291.78 million yen less in total
   economic production, which is about 36\% of the total additional
   production using the small cut-off ratio from the existing industry
   case. The losses in total economic production clearly increase in
   economic sectors that are related to the resource consumption of the
   biomass power plant.}},
Publisher = {{MDPI}},
Address = {{ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Jongdeepaisal, C (Corresponding Author), Kochi Univ Technol, Sch Econ \& Management, 2-22 Eikokuji, Kochi, Kochi 7828502, Japan.
   Jongdeepaisal, Cholapat; Nasu, Seigo, Kochi Univ Technol, Sch Econ \& Management, 2-22 Eikokuji, Kochi, Kochi 7828502, Japan.}},
DOI = {{10.3390/en11030598}},
Article-Number = {{598}},
ISSN = {{1996-1073}},
Keywords = {{hybrid input-output analysis; biomass power plant; technical
   coefficient; cut-off}},
Keywords-Plus = {{LIFE-CYCLE ASSESSMENT; ENVIRONMENTAL IMPACTS; FLOW-ANALYSIS; MODEL;
   COMMODITIES; EMISSIONS; SERVICES}},
Research-Areas = {{Energy \& Fuels}},
Web-of-Science-Categories  = {{Energy \& Fuels}},
Author-Email = {{cholapatlay@gmail.com
   nasu.seigo@kochi-tech.ac.jp}},
ORCID-Numbers = {{jongdeepaisal, cholapat/0000-0002-0192-8367}},
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Number-of-Cited-References = {{28}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{Energies}},
Doc-Delivery-Number = {{GA4MQ}},
Unique-ID = {{ISI:000428304300126}},
OA = {{DOAJ Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000431860800004,
Author = {Lim, So-Min and Hyun, Yu-Kyung and Kang, Hyun-Suk and Yeh, Sang-Wook},
Title = {{Prediction Skill of East Asian Precipitation and Temperature Associated
   with El Nino in GloSea5 Hindcast Data}},
Journal = {{ATMOSPHERE-KOREA}},
Year = {{2018}},
Volume = {{28}},
Number = {{1}},
Pages = {{37-51}},
Month = {{MAR}},
Abstract = {{In this study, we investigate the performance of Global Seasonal
   Forecasting System version 5 (GloSea5) in Korea Meteorological
   Administration on the relationship between El Nino and East Asian
   climate for the period of 1991 similar to 2010. It is found that the
   GloSea5 has a great prediction skill of El Nino whose anomaly
   correlation coefficients of Nino indices are over 0.96 during winter.
   The eastern Pacific (EP) El Nino and the central Pacific (CP) El Nino
   are considered and we analyze for EP El Nino, which is well simulated in
   GloSea5. The analysis period is divided into the developing phase of El
   Nino summer (JJA(0)), mature phase of El Nino winter (D(0)JF(1)), and
   decaying phase of El Nino summer (JJA(1)). The GloSea5 simulates the
   relationship between precipitation and temperature in East Asia and the
   prediction skill for the East Asian precipitation and temperature varies
   depending on the El Nino phase. While the precipitation and temperature
   are simulated well over the equatorial western Pacific region, there are
   biases in mid-latitude region during the JJA(0) and JJA(1). Because the
   low level pressure, wind, and vertical stream function are simulated
   weakly toward mid-latitude region, though they are similar with
   observation in low-latitude region. During the D(0)JF(1), the
   precipitation and temperature patterns analogize with observation in
   most regions, but there is temperature bias in inland over East Asia.
   The reason is that the GloSea5 poorly predicts the weakening of Siberian
   high, even though the shift of Aleutian low is predicted. Overall, the
   predictability of precipitation and temperature related to El Nino in
   the GloSea5 is considered to be better in D(0)JF(1) than JJA(0) and
   JJA(1) and better in ocean than in inland region.}},
Publisher = {{KOREAN METEOROLOGICAL SOC}},
Address = {{SHINKIL-DONG 508, SIWON BLDG 704, YONGDUNGPO-GU, SEOUL, 150-050, SOUTH
   KOREA}},
Type = {{Article}},
Language = {{Korean}},
Affiliation = {{Lim, SM (Corresponding Author), Natl Inst Meteorol Sci, Earth Syst Res Div, 33 Seohobuk Ro, Seogwipo Si 63568, Jeju, South Korea.
   Lim, So-Min; Hyun, Yu-Kyung; Kang, Hyun-Suk, Natl Inst Meteorol Sci, Earth Syst Res Div, 33 Seohobuk Ro, Seogwipo Si 63568, Jeju, South Korea.
   Yeh, Sang-Wook, Hanyang Univ, Dept Marine Sci \& Convergent Technol, Ansan, South Korea.}},
DOI = {{10.14191/Atmos.2018.28.1.037}},
ISSN = {{1598-3560}},
EISSN = {{2288-3266}},
Keywords = {{GloSea5; Seasonal Prediction; El Nino; East Asia; Teleconnection}},
Keywords-Plus = {{SOUTHERN-OSCILLATION; SURFACE-TEMPERATURE; SUMMER MONSOON; CLIMATE;
   ENSO; KOREA; SYSTEM; MODEL; VARIABILITY; IMPACTS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{smlim48@gmail.com}},
ResearcherID-Numbers = {{Yeh, Sang-Wook/G-3007-2014}},
ORCID-Numbers = {{Yeh, Sang-Wook/0000-0003-4549-1686}},
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Number-of-Cited-References = {{43}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{4}},
Journal-ISO = {{Atmos.-Korea}},
Doc-Delivery-Number = {{GF3MS}},
Unique-ID = {{ISI:000431860800004}},
DA = {{2020-08-06}},
}

@article{ ISI:000431320800001,
Author = {Scouse, Adam and McConnell, Eric and Kelley, Stephen S. and Venditti,
   Richard},
Title = {{Analysis of North Carolina Forest Industry Earnings: Adapting
   Household-Level Data from the American Community Survey to a Social
   Accounting Matrix}},
Journal = {{JOURNAL OF FORESTRY}},
Year = {{2018}},
Volume = {{116}},
Number = {{2}},
Pages = {{101-108}},
Month = {{MAR}},
Abstract = {{There is a significant need to not only understand how different
   industries contribute to overall wealth but how they affect certain
   segments of society. This study augments input-output social account
   matrix (SAM) modeling techniques with American Community Survey (ACS)
   Public Use Microdata Samples (PUMS) to better characterize North
   Carolina forest products industry earnings' impact on low-, medium-, and
   high-income households. A 2014 North Carolina SAM was created using
   IMpact Analysis for PLANning (IMPLAN) and customized so that
   industry-specific earnings were allocated to household income classes
   according to the distributions contained within the ACS-PUMS data set.
   Multipliers were determined to describe earnings distributions per
   dollar change of final demand. These multipliers were then
   contextualized by perturbing the SAM model with a 10\% change in final
   demand for relevant forest product industries. The results of the
   analysis indicate that SAM analysis methods based on unmodified IMPLAN
   models underestimate earnings paid to low-income and overestimate
   earnings paid to high-income households resulting from economic growth
   in the study area. Scenario results obtained using our updated SAM model
   highlight the improved analytical capabilities of this approach for
   measuring impacts across income class.}},
Publisher = {{OXFORD UNIV PRESS INC}},
Address = {{JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Scouse, A (Corresponding Author), North Carolina State Univ, Forest Biomat, Raleigh, NC 27695 USA.
   Scouse, Adam; Kelley, Stephen S.; Venditti, Richard, North Carolina State Univ, Forest Biomat, Raleigh, NC 27695 USA.
   McConnell, Eric, Louisiana Tech Univ, Agr Sci \& Forestry, Ruston, LA 71270 USA.}},
DOI = {{10.5849/JOF-2017-032}},
ISSN = {{0022-1201}},
EISSN = {{1938-3746}},
Keywords = {{input-output analysis; social accounting matrix; forest products; income
   distribution analysis; North Carolina}},
Keywords-Plus = {{DISTRIBUTIVE ECONOMIC-IMPACTS; TOURISM; INCOME}},
Research-Areas = {{Forestry}},
Web-of-Science-Categories  = {{Forestry}},
Author-Email = {{aascouse@ncsu.edu
   temc@latech.edu
   sskelley@ncsu.edu
   richard\_venditti@ncsu.edu}},
ResearcherID-Numbers = {{Kellley, Stephen S/AAF-3724-2019
   }},
ORCID-Numbers = {{Venditti, Richard/0000-0002-7986-4092
   Kelley, Stephen/0000-0002-5048-3560}},
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Number-of-Cited-References = {{25}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{5}},
Journal-ISO = {{J. For.}},
Doc-Delivery-Number = {{GE6FQ}},
Unique-ID = {{ISI:000431320800001}},
DA = {{2020-08-06}},
}

@article{ ISI:000430130800006,
Author = {Yeh, Sang-Wook and Cai, Wenju and Min, Seung-Ki and McPhaden, Michael J.
   and Dommenget, Dietmar and Dewitte, Boris and Collins, Matthew and
   Ashok, Karumuri and An, Soon-Il and Yim, Bo-Young and Kug, Jong-Seong},
Title = {{ENSO Atmospheric Teleconnections and Their Response to Greenhouse Gas
   Forcing}},
Journal = {{REVIEWS OF GEOPHYSICS}},
Year = {{2018}},
Volume = {{56}},
Number = {{1}},
Pages = {{185-206}},
Month = {{MAR}},
Abstract = {{El Nino and Southern Oscillation (ENSO) is the most prominent
   year-to-year climate fluctuation on Earth, alternating between
   anomalously warm (El Nino) and cold (La Nina) sea surface temperature
   (SST) conditions in the tropical Pacific. ENSO exerts its impacts on
   remote regions of the globe through atmospheric teleconnections,
   affecting extreme weather events worldwide. However, these
   teleconnections are inherently nonlinear and sensitive to ENSO SST
   anomaly patterns and amplitudes. In addition, teleconnections are
   modulated by variability in the oceanic and atmopsheric mean state
   outside the tropics and by land and sea ice extent. The character of
   ENSO as well as the ocean mean state have changed since the 1990s, which
   might be due to either natural variability or anthropogenic forcing, or
   their combined influences. This has resulted in changes in ENSO
   atmospheric teleconnections in terms of precipitation and temperature in
   various parts of the globe. In addition, changes in ENSO teleconnection
   patterns have affected their predictability and the statistics of
   extreme events. However, the short observational record does not allow
   us to clearly distinguish which changes are robust and which are not.
   Climate models suggest that ENSO teleconnections will change because the
   mean atmospheric circulation will change due to anthropogenic forcing in
   the 21st century, which is independent of whether ENSO properties change
   or not. However, future ENSO teleconnection changes do not currently
   show strong intermodel agreement from region to region, highlighting the
   importance of identifying factors that affect uncertainty in future
   model projections.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Review}},
Language = {{English}},
Affiliation = {{Yeh, SW (Corresponding Author), Hanyang Univ, Dept Marine Sci \& Convergent Technol, Ansan, South Korea.
   Yeh, Sang-Wook, Hanyang Univ, Dept Marine Sci \& Convergent Technol, Ansan, South Korea.
   Cai, Wenju, CSIRO, Ctr Southern Hemisphere Oceans Res, Hobart, Tas, Australia.
   Cai, Wenju, Ocean Univ China, Phys Oceanog Lab CIMSST, Qingdao, Peoples R China.
   Cai, Wenju, Qingdao Natl Lab Marine Sci \& Technol, Qingdao, Peoples R China.
   Min, Seung-Ki; Kug, Jong-Seong, Pohang Univ Sci \& Technol, Devis Environm Sci \& Engn, Pohang, South Korea.
   McPhaden, Michael J., NOAA, Pacific Marine Environm Lab, 7600 Sand Point Way Ne, Seattle, WA 98115 USA.
   Dommenget, Dietmar, Monash Univ, Sch Earth Atmosphere \& Environm, Clayton, Vic, Australia.
   Dewitte, Boris, Ctr Estudios Avanzado Zonas Aridas, Coquimbo, Chile.
   Dewitte, Boris, Lab Etud Geophys \& Oceanog Spatiales, Toulouse, France.
   Collins, Matthew, Univ Exeter, Coll Engn Math \& Phys Sci, Exeter, Devon, England.
   Ashok, Karumuri, Univ Hyderabad, Ctr Earth \& Space Sci UCESS, Hyderabad, Andhra Prades, India.
   An, Soon-Il, Yonsei Univ, Dept Atmospher Sci, Seoul, South Korea.
   Yim, Bo-Young, Korea Meteorol Adm, Seoul, South Korea.}},
DOI = {{10.1002/2017RG000568}},
EISSN = {{1944-9208}},
Keywords = {{ENSO; ocean mean state; atmospheric teleconnections; extreme event;
   anthropogenic forcing; climate models}},
Keywords-Plus = {{NINO-SOUTHERN OSCILLATION; GENERAL-CIRCULATION MODELS; SEA-SURFACE
   TEMPERATURES; WESTERN TROPICAL PACIFIC; EL-NINO; CLIMATE VARIABILITY;
   NORTH PACIFIC; INTERANNUAL VARIABILITY; SST ANOMALIES; WINTER
   PRECIPITATION}},
Research-Areas = {{Geochemistry \& Geophysics}},
Web-of-Science-Categories  = {{Geochemistry \& Geophysics}},
Author-Email = {{swyeh@hanyang.ac.kr}},
ResearcherID-Numbers = {{Yeh, Sang-Wook/G-3007-2014
   McPhaden, Michael J/D-9799-2016
   Cai, Wenju J/C-2864-2012
   Dewitte, Boris/S-4909-2019
   Min, Seung-Ki/B-1431-2010
   Collins, Matthew/F-8473-2011
   Dommenget, Dietmar/B-9828-2011
   Dewitte, Boris/F-5132-2015}},
ORCID-Numbers = {{Yeh, Sang-Wook/0000-0003-4549-1686
   McPhaden, Michael J/0000-0002-8423-5805
   Cai, Wenju J/0000-0001-6520-0829
   Min, Seung-Ki/0000-0002-6749-010X
   Collins, Matthew/0000-0003-3785-6008
   Karumuri, Ashok/0000-0002-5937-8089
   Dommenget, Dietmar/0000-0002-5129-7719
   KUG, JONG-SEONG/0000-0003-2251-2579
   Dewitte, Boris/0000-0003-3817-8691}},
Funding-Acknowledgement = {{Korea Meteorological Administration Research and Development Program
   {[}KMIPA2015-2112]; CSIROCommonwealth Scientific \& Industrial Research
   Organisation (CSIRO); Qingdao National Laboratory for Marine Sciences
   and Technology; FONDECYTComision Nacional de Investigacion Cientifica y
   Tecnologica (CONICYT)CONICYT FONDECYT {[}1151185]; LEFE-GMMC; ARC Centre
   of Excellence for Climate System ScienceAustralian Research Council
   {[}CE110001028]}},
Funding-Text = {{We acknowledge the World Climate Research Programme's Working Group on
   Coupled Modeling, which is responsible for CMIP, and we thank the
   climate modeling groups for producing and making available their model
   outputs. The ERSST.v4 data set is from
   https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstr
   uctedsea-surface-temperature-ersst-v4 and the CPC Merged Analysis of
   Precipitation (CMAP) version is from
   https://www.esrl.noaa.gov/psd/data/gridded/data.cmap.html. The NCEP and
   NCAR global reanalysis atmospheric variables can also be obtained from
   Earth System Research Laboratory
   (http://www.errl.noaa.gov/psd/data/gridded/data.ncep.reanlaysis.html).
   The OLR data set is obtained from
   https://www.esrl.noaa.gov/psd/map/clim/olr.shtml. S.W.Y. is supported by
   the Korea Meteorological Administration Research and Development Program
   under grant KMIPA2015-2112. Wenju Cai is supported by Earth System and
   Climate Change Hub of the Australia National Environmental Science
   Programme, and Centre for Southern Hemisphere Oceans Research, an
   international collaboration between CSIRO and Qingdao National
   Laboratory for Marine Sciences and Technology. B. Dewitte acknowledges
   supports from FONDECYT (1151185) and from LEFE-GMMC. Dietmar Dommenget
   is supported by ARC Centre of Excellence for Climate System Science
   (CE110001028). This is PMEL contribution 4735.}},
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Number-of-Cited-References = {{190}},
Times-Cited = {{81}},
Usage-Count-Last-180-days = {{9}},
Usage-Count-Since-2013 = {{48}},
Journal-ISO = {{Rev. Geophys.}},
Doc-Delivery-Number = {{GC9PO}},
Unique-ID = {{ISI:000430130800006}},
OA = {{Other Gold, Green Published}},
ESI-Highly-Cited-Paper = {{Y}},
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}

@article{ ISI:000427338900050,
Author = {Tozer, C. R. and Kiem, A. S. and Vance, T. R. and Roberts, J. L. and
   Curran, M. A. J. and Moy, A. D.},
Title = {{Reconstructing pre-instrumental streamflow in Eastern Australia using a
   water balance approach}},
Journal = {{JOURNAL OF HYDROLOGY}},
Year = {{2018}},
Volume = {{558}},
Pages = {{632-646}},
Month = {{MAR}},
Abstract = {{Streamflow reconstructions based on paleoclimate proxies provide much
   longer records than the short instrumental period records on which water
   resource management plans are currently based. In Australia there is a
   lack of in-situ high resolution paleoclimate proxy records, but remote
   proxies with teleconnections to Australian climate have utility in
   producing streamflow reconstructions. Here we investigate, via a case
   study for a catchment in eastern Australia, the novel use of an
   Antarctic ice-core based rainfall reconstruction within a
   Budyko-framework to reconstruct similar to 1000 years of annual
   streamflow. The resulting stream-flow reconstruction captures
   interannual to decadal variability in the instrumental streamflow,
   validating both the use of the ice core rainfall proxy record and the
   Budyko-framework method. In the preinstrumental era the streamflow
   reconstruction shows longer wet and dry epochs and periods of streamflow
   variability that are higher than observed in the instrumental era.
   Importantly, for both the instrumental record and preinstrumental
   reconstructions, the wet (dry) epochs in the rainfall record are shorter
   (longer) in the streamflow record and this non-linearity must be
   considered when inferring hydroclimatic risk or historical water
   availability directly from rainfall proxy records alone. These insights
   provide a better understanding of present infrastructure vulnerability
   in the context of past climate variability for eastern Australia. The
   streamflow reconstruction presented here also provides a better
   understanding of the range of hydroclimatic variability possible, and
   therefore represents a more realistic baseline on which to quantify the
   potential impacts of anthropogenic climate change on water security. (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 = {{Tozer, CR (Corresponding Author), CSIRO, Oceans \& Atmosphere, Hobart, Tas 7000, Australia.
   Tozer, C. R., CSIRO, Oceans \& Atmosphere, Hobart, Tas 7000, Australia.
   Kiem, A. S., Univ Newcastle, CWCL, Callaghan, NSW 2308, Australia.
   Vance, T. R.; Roberts, J. L.; Curran, M. A. J.; Moy, A. D., Univ Tasmania, Antarctic Climate \& Ecosyst Cooperat Res Ctr, Private Bag 80, Hobart, Tas 7001, Australia.
   Roberts, J. L.; Curran, M. A. J.; Moy, A. D., Australian Antarctic Div, Kingston, Tas 7050, Australia.}},
DOI = {{10.1016/j.jhydrol.2018.01.064}},
ISSN = {{0022-1694}},
EISSN = {{1879-2707}},
Keywords = {{Drought; Floods; Streamflow; Reconstruction; Paleoclimate; Budyko}},
Keywords-Plus = {{MULTI-DECADAL VARIABILITY; RAINFALL-RUNOFF MODELS; LAW DOME;
   CLIMATE-CHANGE; ICE CORE; INTERANNUAL VARIABILITY; SOUTHERN-OSCILLATION;
   ENSO TELECONNECTION; PACIFIC VARIABILITY; DROUGHT RISK}},
Research-Areas = {{Engineering; Geology; Water Resources}},
Web-of-Science-Categories  = {{Engineering, Civil; Geosciences, Multidisciplinary; Water Resources}},
Author-Email = {{carly.tozer@csiro.au}},
ResearcherID-Numbers = {{Roberts, Jason L/B-2235-2012
   Kiem, Anthony/D-9307-2013}},
ORCID-Numbers = {{Roberts, Jason L/0000-0002-3477-4069
   Kiem, Anthony/0000-0002-3994-6958}},
Funding-Acknowledgement = {{Australian Government's Cooperative Research Centres Programme through
   the Antarctic Climate and Ecosystems Cooperative Research Centre (ACE
   CRC)Australian GovernmentDepartment of Industry, Innovation and
   ScienceCooperative Research Centres (CRC) Programme; Australian
   Antarctic Division {[}4061, 4062]; Centre for Water, Climate and Land
   (CWCL) at the University of Newcastle}},
Funding-Text = {{This work was supported by the Australian Government's Cooperative
   Research Centres Programme through the Antarctic Climate and Ecosystems
   Cooperative Research Centre (ACE CRC). The Australian Antarctic Division
   provided funding and logistical support for the DSS ice cores (AAS
   projects 4061 and 4062). The Centre for Water, Climate and Land (CWCL)
   at the University of Newcastle provided funding for Tozer's salary.
   HydroTSM and HydroGOF (Zambrano Bigiarini, 2014) were used in R platform
   to perform some of the analysis presented here. Links to rainfall and
   stream flow data used in the analysis presented here are provided in
   Section 3. Law Dome summer sea salt data can be accessed from the
   Australian Antarctic Data Centre
   (https://data.aad.gov.au/metadata/records/summer\_sea\_salti 000-2009).
   The authors have no conflicts of interest to declare.}},
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