text:
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Number-of-Cited-References = {{240}},
Times-Cited = {{17}},
Usage-Count-Last-180-days = {{10}},
Usage-Count-Since-2013 = {{55}},
Journal-ISO = {{Int. J. Manag. Rev.}},
Doc-Delivery-Number = {{GL4JP}},
Unique-ID = {{ISI:000437117200002}},
DA = {{2020-08-06}},
}

@article{ ISI:000436245600041,
Author = {Merino, Andres and Martin, M. L. and Fernandez-Gonzalez, S. and Sanchez,
   J. L. and Valero, F.},
Title = {{Extreme maximum temperature events and their relationships with
   large-scale modes: potential hazard on the Iberian Peninsula}},
Journal = {{THEORETICAL AND APPLIED CLIMATOLOGY}},
Year = {{2018}},
Volume = {{133}},
Number = {{1-2}},
Pages = {{531-550}},
Month = {{JUL}},
Abstract = {{The aim of this paper is to analyze spatiotemporal distribution of
   maximum temperatures in the Iberian Peninsula (IP) by using various
   extreme maximum temperature indices. Thresholds for determining
   temperature extreme event (TEE) severity are defined using 99th
   percentiles of daily temperature time series for the period 1948 to
   2009. The synoptic-scale fields of such events were analyzed in order to
   better understand the related atmospheric processes. The results
   indicate that the regions with a higher risk of maximum temperatures are
   located in the river valleys of southwest and northeast of the IP, while
   the Cantabrian coast and mountain ranges are characterized by lower
   risk. The TEEs were classified, by means of several synoptic fields (sea
   level pressure, temperature, and geopotential height at 850 and 500
   hPa), in four clusters that largely explain their spatiotemporal
   distribution on the IP. The results of this study show that TEEs mainly
   occur associated with a ridge elongated from Subtropical areas. The
   relationships of TEEs with teleconnection patterns, such as the North
   Atlantic Oscillation (NAO), Western Mediterranean Oscillation (WeMO),
   and Mediterranean Oscillation (MO), showed that the interannual
   variability of extreme maximum temperatures is largely controlled by the
   dominant phase of WeMO in all seasons except wintertime where NAO is
   prevailing. Results related to MO pattern show less relevance in the
   maximum temperatures variability. The correct identification of synoptic
   patterns linked with the most extreme temperature event associated with
   each cluster will assist the prediction of events that can pose a
   natural hazard, thereby providing useful information for decision making
   and warning systems.}},
Publisher = {{SPRINGER WIEN}},
Address = {{SACHSENPLATZ 4-6, PO BOX 89, A-1201 WIEN, AUSTRIA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Merino, A (Corresponding Author), Univ Leon, IMA, Atmospher Phys Grp, Leon, Spain.
   Merino, Andres; Sanchez, J. L., Univ Leon, IMA, Atmospher Phys Grp, Leon, Spain.
   Martin, M. L., Univ Valladolid, Fac Comp Engn, Dept Appl Math, Segovia, Spain.
   Fernandez-Gonzalez, S.; Valero, F., Univ Complutense Madrid, Fac Phys, Dept Earth Phys Astron \& Astrophys 2, Madrid, Spain.}},
DOI = {{10.1007/s00704-017-2203-9}},
ISSN = {{0177-798X}},
EISSN = {{1434-4483}},
Keywords-Plus = {{LEVEL PRESSURE FIELD; CLIMATE EXTREMES; AIR-TEMPERATURE; PRECIPITATION;
   TRENDS; VARIABILITY; SUMMER; PATTERNS; DROUGHT; EUROPE}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{amers@unileon.es}},
ResearcherID-Numbers = {{Merino, Andres/L-4845-2014
   }},
ORCID-Numbers = {{Merino, Andres/0000-0001-8806-6263
   Sanchez, Jose Luis/0000-0002-9874-0239}},
Funding-Acknowledgement = {{METEORISK PROJECT {[}RTC-2014-1872-5, CGL2011-25327,
   AYA2011-29967-C05-02, PCIN-2014-013-C07-04, ESP2013-47816-C4-4-P,
   CGL2010-15930, CGL2016-78702]; Instituto de Matematica Interdisciplinar
   (IMI) of the Universidad Complutense}},
Funding-Text = {{This work has been partially supported by the research projects
   METEORISK PROJECT (RTC-2014-1872-5), CGL2011-25327,
   AYA2011-29967-C05-02, PCIN-2014-013-C07-04 (UE ERA-NET Plus NEWA
   Project), ESP2013-47816-C4-4-P, CGL2010-15930, CGL2016-78702, and by the
   Instituto de Matematica Interdisciplinar (IMI) of the Universidad
   Complutense. The authors also wish to thank the Spanish Meteorological
   Agency (AEMET) for providing the Spanish Temperature data and to the
   European Climate Assessment \& Dataset project (ECA\&D) for the
   Portuguese temperature data. NCEP Reanalysis data were provided by the
   NOAA-CIRES Climate Diagnostics Center, Boulder, Colorado, USA from their
   Web site at http://www.cdc.noaa.gov.}},
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Times-Cited = {{2}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{7}},
Journal-ISO = {{Theor. Appl. Climatol.}},
Doc-Delivery-Number = {{GK5VC}},
Unique-ID = {{ISI:000436245600041}},
DA = {{2020-08-06}},
}

@article{ ISI:000435522000004,
Author = {Jin, Rui and Wu, Zhiwei and Zhang, Peng},
Title = {{Tibetan Plateau capacitor effect during the summer preceding ENSO: from
   the Yellow River climate perspective}},
Journal = {{CLIMATE DYNAMICS}},
Year = {{2018}},
Volume = {{51}},
Number = {{1-2}},
Pages = {{57-71}},
Month = {{JUL}},
Abstract = {{It is well recognized that El Nio-Southern Oscillation (ENSO) may exert
   a direct impact on the East Asian summer monsoon rainfall through
   modulating the Philippine Sea anticyclone variability. Such ENSO
   associated influence is evident in the monsoon region, i.e., Southeast
   China, the Yangtze River, Korean Peninsula and Japan. It remains unclear
   whether and how this ENSO related effect can reach the Yellow River
   region, a monsoon/arid transition region. In this study, results show
   that the year-to-year variations of the Yellow River summer rainfall can
   be indirectly influenced by ENSO, during its developing phase. The
   western Tibetan Plateau snow cover (WTPSC) may act as a ``capacitor{''},
   helping ENSO signal to reach the Yellow River region. During the El Nio
   developing spring, the associated diabatic heating in Pacific region can
   excite an anomalous cyclone over the plateau and anomalous upward flows
   over the western plateau. Such circulation configuration favors an
   excessive WTPSC anomaly in spring. The more WTPSC may increase the
   surface albedo, decrease the absorbed net shortwave radiation and in
   turn intensify the WTPSC. Through such snow-albedo feedback process, the
   excessive WTPSC anomaly may strengthen and persist through summer, which
   may induce two noticeable wave trains in the upper and lower troposphere
   propagating northeastward to the Yellow River region. Associated with
   the wave trains, a low pressure anomaly prevails over northeast China.
   To the southwest side of the anomalous low pressure, the abnormal
   northerly wind may bring large volumes of dry cold air with little
   moisture to the Yellow River region, leading to the anomalous drought
   there. During the La Nia developing summer, the situation tends to be
   opposite. As such, the ENSO associated influence is tied to the
   interannual variations of the following summer Yellow River
   precipitation, with the development of ENSO from spring.}},
Publisher = {{SPRINGER}},
Address = {{ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Wu, ZW (Corresponding Author), Fudan Univ, IAS, Shanghai 200433, Peoples R China.
   Jin, Rui; Zhang, Peng, Nanjing Univ Informat Sci \& Technol, Coll Atmospher Sci, Minist Educ, Nanjing 210044, Jiangsu, Peoples R China.
   Jin, Rui; Zhang, Peng, Nanjing Univ Informat Sci \& Technol, Key Lab Meteorol Disaster, Minist Educ, Nanjing 210044, Jiangsu, Peoples R China.
   Wu, Zhiwei, Fudan Univ, IAS, Shanghai 200433, Peoples R China.}},
DOI = {{10.1007/s00382-017-3906-4}},
ISSN = {{0930-7575}},
EISSN = {{1432-0894}},
Keywords-Plus = {{EL-NINO; INTERANNUAL VARIABILITY; MONSOON RAINFALL; SNOW COVER;
   CONTRASTING IMPACTS; WESTERN PACIFIC; NORTHERN CHINA; PRECIPITATION;
   TELECONNECTION; CIRCULATION}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{zhiweiwu@fudan.edu.cn}},
Funding-Acknowledgement = {{National Key Research \& Development Program of China
   {[}2016YFA0601801]; National Natural Science Foundation of China
   (NSFC)National Natural Science Foundation of China {[}91637312];
   Ministry of Science and Technology of ChinaMinistry of Science and
   Technology, China {[}2015CB453201, 2015CB953904]; NSFCNational Natural
   Science Foundation of China {[}91437216, 41575075]}},
Funding-Text = {{We thank the Global Snow Lab (Rutgers University) for providing the snow
   cover area extent data. This work is jointly supported by the National
   Key Research \& Development Program of China (Grant No. 2016YFA0601801),
   the National Natural Science Foundation of China (NSFC) (Grant No.
   91637312), the Ministry of Science and Technology of China (Grant Nos.
   2015CB453201 and 2015CB953904) and the NSFC (Grant Nos. 91437216 and
   41575075).}},
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Number-of-Cited-References = {{78}},
Times-Cited = {{7}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{24}},
Journal-ISO = {{Clim. Dyn.}},
Doc-Delivery-Number = {{GJ6VH}},
Unique-ID = {{ISI:000435522000004}},
DA = {{2020-08-06}},
}

@article{ ISI:000435522000023,
Author = {Ciemer, Catrin and Boers, Niklas and Barbosa, Henrique M. J. and Kurths,
   Jurgen and Rammig, Anja},
Title = {{Temporal evolution of the spatial covariability of rainfall in South
   America}},
Journal = {{CLIMATE DYNAMICS}},
Year = {{2018}},
Volume = {{51}},
Number = {{1-2}},
Pages = {{371-382}},
Month = {{JUL}},
Abstract = {{The climate of South America exhibits pronounced differences between
   rainy and dry seasons, associated with specific synoptic features such
   as the establishment of the South Atlantic convergence zone. Here, we
   analyze the spatiotemporal correlation structure and in particular
   teleconnections of daily rainfall associated with these features by
   means of evolving complex networks. A modification of Pearson's
   correlation coefficient is introduced to handle the intricate
   statistical properties of daily rainfall. On this basis, spatial
   correlation networks are constructed, and new appropriate network
   measures are introduced in order to analyze the temporal evolution of
   the networks' characteristics. We particularly focus on the
   identification of coherent areas of similar rainfall patterns and
   previously unknown teleconnection structures between remote areas. We
   show that the monsoon onset is characterized by an abrupt transition
   from erratic to organized regional connectivity that prevails during the
   monsoon season, while only the onset times themselves exhibit anomalous
   large-scale organization of teleconnections. Furthermore, we reveal that
   the two mega-droughts in the Amazon basin were already announced in the
   previous year by an anomalous behavior of the connectivity structure.}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Ciemer, C (Corresponding Author), Potsdam Inst Climate Impact Res, Potsdam, Germany.
   Ciemer, C (Corresponding Author), Humboldt Univ, Dept Phys, Berlin, Germany.
   Ciemer, Catrin; Boers, Niklas; Kurths, Jurgen, Potsdam Inst Climate Impact Res, Potsdam, Germany.
   Ciemer, Catrin; Kurths, Jurgen, Humboldt Univ, Dept Phys, Berlin, Germany.
   Boers, Niklas, Ecole Normale Super, Geosci Dept, Paris, France.
   Barbosa, Henrique M. J., Univ Sao Paulo, Dept Phys, Sao Paulo, Brazil.
   Kurths, Jurgen, Nizhnii Novgorod State Univ, Dept Control Theory, Nizhnii Novgorod, Russia.
   Kurths, Jurgen, Univ Aberdeen, Inst Complex Syst \& Math Biol, Aberdeen, Scotland.
   Rammig, Anja, Tech Univ Munich, TUM Sch Life Sci Weihenstephan, Munich, Germany.}},
DOI = {{10.1007/s00382-017-3929-x}},
ISSN = {{0930-7575}},
EISSN = {{1432-0894}},
Keywords = {{South American monsoon; Complex networks; Rainfall; Teleconnections;
   Correlation measures}},
Keywords-Plus = {{LOW-LEVEL JET; COMPLEX NETWORKS; MONSOON SYSTEM; VARIABILITY; CLIMATE;
   CONVECTION; DROUGHT; FRONTS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{ciemer@pik-potsdam.de}},
ResearcherID-Numbers = {{Barbosa, H. M. J./F-3499-2012}},
ORCID-Numbers = {{Barbosa, H. M. J./0000-0002-4027-1855}},
Funding-Acknowledgement = {{DFG/FAPESP {[}IRTG 1740/TRP 2011/50151-0]; Alexander von Humboldt
   FoundationAlexander von Humboldt Foundation; German Federal Ministry for
   Education and ResearchFederal Ministry of Education \& Research (BMBF);
   FAPESPFundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP)
   {[}2013/50510-5]; CNPq fellowshipNational Council for Scientific and
   Technological Development (CNPq) {[}312131/2014-3]; European Regional
   Development Fund (ERDF)European Union (EU); German Federal Ministry of
   Education and ResearchFederal Ministry of Education \& Research (BMBF);
   Land Brandenburg}},
Funding-Text = {{The authors thank Tim Kittel, Jose A. Marengo and Finn Muller-Hansen for
   helpful discussions. This paper was developed within the scope of the
   IRTG 1740/TRP 2011/50151-0, funded by the DFG/FAPESP. NB acknowledges
   funding by the Alexander von Humboldt Foundation and the German Federal
   Ministry for Education and Research. H.M.J.B. acknowledges the financial
   support from FAPESP project 2013/50510-5 and CNPq fellowship
   312131/2014-3. The authors gratefully acknowledge the European Regional
   Development Fund (ERDF), the German Federal Ministry of Education and
   Research and the Land Brandenburg for supporting this project by
   providing resources on the high performance computer system at the
   Potsdam Institute for Climate Impact Research.}},
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Number-of-Cited-References = {{34}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{9}},
Journal-ISO = {{Clim. Dyn.}},
Doc-Delivery-Number = {{GJ6VH}},
Unique-ID = {{ISI:000435522000023}},
DA = {{2020-08-06}},
}

@article{ ISI:000435522000029,
Author = {Monerie, Paul-Arthur and Robson, Jon and Dong, Buwen and Dunstone, Nick},
Title = {{A role of the Atlantic Ocean in predicting summer surface air
   temperature over North East Asia?}},
Journal = {{CLIMATE DYNAMICS}},
Year = {{2018}},
Volume = {{51}},
Number = {{1-2}},
Pages = {{473-491}},
Month = {{JUL}},
Abstract = {{We assess the ability of the DePreSys3 prediction system to predict the
   summer (JJAS) surface-air temperature over North East Asia. DePreSys3 is
   based on a high resolution ocean-atmosphere coupled climate prediction
   system (similar to 60 km in the atmosphere and similar to 25 km in the
   ocean), which is full-field initialized from 1960 to 2014 (26
   start-dates). We find skill in predicting surface-air temperature,
   relative to a long-term trend, for 1 and 2-5 year lead-times over North
   East Asia, the North Atlantic Ocean and Eastern Europe. DePreSys3 also
   reproduces the interdecadal evolution of surface-air temperature over
   the North Atlantic subpolar gyre and North East Asia for both lead
   times, along with the strong warming that occurred in the mid-1990s over
   both areas. Composite analysis reveals that the skill at capturing
   interdecadal changes in North East Asia is associated with the
   propagation of an atmospheric Rossby wave, which follows the subtropical
   jet and modulates surface-air temperature from Europe to Eastern Asia.
   We hypothesise that this `circumglobal teleconnection' pattern is
   excited over the Atlantic Ocean and is related to Atlantic multi-decadal
   variability and the associated changes in precipitation over the Sahel
   and the subtropical Atlantic Ocean. This mechanism is robust for the 2-5
   year lead-time. For the 1 year lead-time the Pacific Ocean also plays an
   important role in leading to skill in predicting SAT over Northeast
   Asia. Increased temperatures and precipitation over the western Pacific
   Ocean was found to be associated with a Pacific-Japan like-pattern,
   which can affect East Asia's climate.}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Monerie, PA (Corresponding Author), Univ Reading, NCAS, Dept Meteorol, Reading, Berks, England.
   Monerie, Paul-Arthur; Robson, Jon; Dong, Buwen, Univ Reading, NCAS, Dept Meteorol, Reading, Berks, England.
   Dunstone, Nick, Met Off Hadley Ctr, Exeter, Devon, England.}},
DOI = {{10.1007/s00382-017-3935-z}},
ISSN = {{0930-7575}},
EISSN = {{1432-0894}},
Keywords-Plus = {{DECADAL PREDICTION; CLIMATE VARIABILITY; CIRCUMGLOBAL TELECONNECTION;
   INTERANNUAL VARIABILITY; MULTIMODEL-ENSEMBLE; HEMISPHERE SUMMER; MONSOON
   SYSTEM; SAHEL RAINFALL; PACIFIC-JAPAN; PREDICTABILITY}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{pmonerie@gmail.com}},
ResearcherID-Numbers = {{Robson, Jon/A-7677-2012
   Monerie, Paul-Arthur/G-6121-2016}},
ORCID-Numbers = {{Robson, Jon/0000-0002-3467-018X
   Monerie, Paul-Arthur/0000-0002-5304-9559}},
Funding-Acknowledgement = {{UK-China Research and Innovation Partnership Fund through the Met Office
   Climate Science for Service Partnership (CSSP) China as part of the
   Newton Fund; Natural Environment Research Council (NERC) via the
   National Centre for Atmospheric Science (NCAS); NERC ACSIS program}},
Funding-Text = {{The authors gratefully acknowledge support from the UK-China Research
   and Innovation Partnership Fund through the Met Office Climate Science
   for Service Partnership (CSSP) China as part of the Newton Fund. BD, JR
   and RS were supported by the Natural Environment Research Council (NERC)
   via the National Centre for Atmospheric Science (NCAS), and JR was
   additionally funded by the NERC ACSIS program. We also thank Doug Smith,
   Leon Hermanson and The Met Office for providing the DePreSys3 output.}},
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Number-of-Cited-References = {{108}},
Times-Cited = {{11}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{Clim. Dyn.}},
Doc-Delivery-Number = {{GJ6VH}},
Unique-ID = {{ISI:000435522000029}},
OA = {{Other Gold, Green Accepted}},
DA = {{2020-08-06}},
}

@article{ ISI:000433014500006,
Author = {Mach, Radomir and Weinzettel, Jan and Scasny, Milan},
Title = {{Environmental Impact of Consumption by Czech Households: Hybrid
   Input-Output Analysis Linked to Household Consumption Data}},
Journal = {{ECOLOGICAL ECONOMICS}},
Year = {{2018}},
Volume = {{149}},
Pages = {{62-73}},
Month = {{JUL}},
Abstract = {{We quantify direct and indirect emissions resulting from Czech household
   consumption contributing to climate change, acidification and smog
   formation. We develop a hybrid environmentally extended input-output
   model that links the single-region input-output analysis on domestic
   processes with a multiregional input-output analysis to derive the
   indirect emissions associated with imports and part of the domestic
   production. We apply Almon's algorithm to transform the domestic
   emissions from industries to product groups. The indirect and direct
   emission intensities of more than hundred consumption items are then
   linked to expenditures of almost 3000 individual households to compute
   the total emissions for each household.
   We find that emissions attributable to households are not distributed
   evenly - while the first expenditure decile of households is responsible
   for less than 4\% of all emissions, the tenth decile is responsible for
   20-24\%. Consumption of services and goods is least emission intensive,
   while use of electricity, heating, and transportation remains
   responsible for the major part of emissions. The most important factor
   of emissions attributable to household consumption is total
   expenditures; the expenditure elasticity of emissions is about 0.8, but
   we identify consumption groups which emissions are less sensitive to
   total expenditures (electricity, heating and food) and more sensitive
   (transportation, goods).}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Mach, R (Corresponding Author), Charles Univ Prague, Environm Ctr, Fac Humanities, Jose Martiho 407-2, Prague 6, Czech Republic.
   Mach, Radomir, Charles Univ Prague, Environm Ctr, Fac Humanities, Jose Martiho 407-2, Prague 6, Czech Republic.
   Weinzettel, Jan; Scasny, Milan, Charles Univ Prague, Environm Ctr, Jose Martiho 407-2, Prague 6, Czech Republic.}},
DOI = {{10.1016/j.ecolecon.2018.02.015}},
ISSN = {{0921-8009}},
EISSN = {{1873-6106}},
Keywords = {{Multiregional input-output analysis; Hybrid multi regional
   environmentally extended input-output model; Household consumption;
   Climate change; Acidification; Smog formation}},
Keywords-Plus = {{CARBON-DIOXIDE EMISSIONS; EXTERNAL COSTS; FOOTPRINT; EXPENDITURES;
   AGGREGATION; COUNTRIES; PRODUCTS}},
Research-Areas = {{Environmental Sciences \& Ecology; Business \& Economics}},
Web-of-Science-Categories  = {{Ecology; Economics; Environmental Sciences; Environmental Studies}},
Author-Email = {{radomir.mach@gmail.com}},
ResearcherID-Numbers = {{Scasny, Milan/F-7394-2012
   /A-3422-2010}},
ORCID-Numbers = {{Scasny, Milan/0000-0001-5040-1281
   /0000-0001-8977-8385}},
Funding-Acknowledgement = {{Charles University Grant Agency GA UK {[}1286214]; Czech Science
   FoundationGrant Agency of the Czech Republic {[}17-07140S]; H-MSCA-RISE
   project GEMCLIME {[}681228];  {[}PRIMUS/HUM/29]}},
Funding-Text = {{This paper was supported by Charles University Grant Agency GA UK no.
   1286214 (R.M.), Czech Science Foundation grant no. 17-07140S (J.W. and
   R.M.), PRIMUS/HUM/29 (M.S.) and H2020-MSCA-RISE project GEMCLIME-2020
   under GA no. 681228 (J.W., M.S.). This support is gratefully
   acknowledged. Responsibility for any errors remains with the authors.}},
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Number-of-Cited-References = {{57}},
Times-Cited = {{7}},
Usage-Count-Last-180-days = {{5}},
Usage-Count-Since-2013 = {{38}},
Journal-ISO = {{Ecol. Econ.}},
Doc-Delivery-Number = {{GG9IP}},
Unique-ID = {{ISI:000433014500006}},
DA = {{2020-08-06}},
}

@article{ ISI:000433014500008,
Author = {Kovanda, Jan and Weinzettel, Jan and Schoer, Karl},
Title = {{What Makes the Difference in Raw Material Equivalents Calculation
   Through Environmentally Extended Input-Output Analysis?}},
Journal = {{ECOLOGICAL ECONOMICS}},
Year = {{2018}},
Volume = {{149}},
Pages = {{80-87}},
Month = {{JUL}},
Abstract = {{This article describes an approach to improve the Czech model for raw
   material equivalents (RME) calculation to meet the standards of the
   Eurostat RME model. It also critically discusses the approach and
   suggests that some model features need revision. The improvements
   include further disaggregation of input-output tables; improvement of
   life cycle inventory data; hybridization of selected product groups;
   revaluation of imports at domestic prices; and adding additional
   information on recycling ratios for metal imports and the energy mix of
   electricity imports. It is shown that those improvements have a
   significant impact on RME of imports and exports (a decrease by 48\% and
   38\%, respectively). The article further compares results for RME of
   imports and exports from the improved Czech RME model and the Eurostat
   RME country tool. These results differ by 24\% and 16\%, respectively,
   on an aggregated level, but the difference is much larger for particular
   material categories. Further improvements of the Eurostat country tool,
   such as a correction for unit prices of exports, are therefore
   recommended.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Kovanda, J (Corresponding Author), Charles Univ Prague, Environm Ctr, J Martiho 2-407, Prague 16200 6, Czech Republic.
   Kovanda, Jan; Weinzettel, Jan, Charles Univ Prague, Environm Ctr, J Martiho 2-407, Prague 16200 6, Czech Republic.
   Schoer, Karl, SSG Consultants GmbH, Kleiststr 7a, D-65187 Wiesbaden, Germany.}},
DOI = {{10.1016/j.ecolecon.2018.03.004}},
ISSN = {{0921-8009}},
EISSN = {{1873-6106}},
Keywords = {{Economy-wide material flow accounting (EW-MFA); Environmentally extended
   input-output model; Raw material equivalents (RME); Eurostat RME country
   tool; Czech Republic}},
Research-Areas = {{Environmental Sciences \& Ecology; Business \& Economics}},
Web-of-Science-Categories  = {{Ecology; Economics; Environmental Sciences; Environmental Studies}},
Author-Email = {{jan.kovanda@czp.cuni.cz
   jan.weinzettel@czp.cuni.cz
   karl@schoer.net}},
ResearcherID-Numbers = {{Kovanda, Jan/P-4385-2016
   /A-3422-2010}},
ORCID-Numbers = {{Kovanda, Jan/0000-0002-5308-2121
   /0000-0001-8977-8385}},
Funding-Acknowledgement = {{Czech Science FoundationGrant Agency of the Czech Republic {[}16-00262S]}},
Funding-Text = {{This work was supported by the Czech Science Foundation under grant No.
   16-00262S ``Anthropogenic material flows in the Czech Republic: Analysis
   of structure and trends and opening a black-box of the physical
   economy{''}. This support is gratefully appreciated.}},
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Number-of-Cited-References = {{35}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{10}},
Journal-ISO = {{Ecol. Econ.}},
Doc-Delivery-Number = {{GG9IP}},
Unique-ID = {{ISI:000433014500008}},
DA = {{2020-08-06}},
}

@article{ ISI:000432508400082,
Author = {Roibas, Laura and Loiseau, Eleonore and Hospido, Almudena},
Title = {{A simplified approach to determine the carbon footprint of a region: Key
   learning points from a Galician study}},
Journal = {{JOURNAL OF ENVIRONMENTAL MANAGEMENT}},
Year = {{2018}},
Volume = {{217}},
Pages = {{832-844}},
Month = {{JUL 1}},
Abstract = {{On a previous study, the carbon footprint (CF) of all production and
   consumption activities of Galicia, an Autonomous Community located in
   the north-west of Spain, was determined and the results were used to
   devise strategies aimed at the reduction and mitigation of the
   greenhouse gas (GHG) emissions. The territorial LCA methodology was used
   there to perform the calculations. However, that methodology was
   initially designed to compute the emissions of all types of polluting
   substances to the environment (several thousands of substances
   considered in the life cycle inventories), aimed at performing complete
   LCA studies. This requirement implies the use of specific modelling
   approaches and databases that in turn raised some difficulties, i.e.,
   need of large amounts of data (which increased gathering times), low
   temporal, geographical and technological representativeness of the
   study, lack of data, and presence of double counting issues when trying
   to combine the sectorial CF results into those of the total economy. In
   view of these of difficulties, and considering the need to focus only on
   GHG emissions, it seems important to improve the robustness of the CF
   computation while proposing a simplified methodology. This study is the
   result of those efforts to improve the aforementioned methodology. In
   addition to the territorial LCA approach, several Input-Output (10)
   based alternatives have been used here to compute direct and indirect
   GHG emissions of all Galician production and consumption activities. The
   results of the different alternatives were compared and evaluated under
   a multi-criteria approach considering reliability, completeness,
   temporal and geographical correlation, applicability and consistency.
   Based on that, an improved and simplified methodology was proposed to
   determine the CF of the Galician consumption and production activities
   from a total responsibility perspective. This methodology adequately
   reflects the current characteristics of the Galician economy, thus
   increasing the representativeness of the results, and can be applied to
   any region in which 10 tables and environmental vectors are available.
   This methodology could thus provide useful information in decision
   making processes to reduce and prevent GHG emissions. (C) 2018 Elsevier
   Ltd. All rights reserved.}},
Publisher = {{ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD}},
Address = {{24-28 OVAL RD, LONDON NW1 7DX, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Roibas, L (Corresponding Author), Univ Santiago de Compostela, Inst Technol, Dept Chem Engn, Grp Environm Biotechnol, Santiago De Compostela 15782, Galicia, Spain.
   Roibas, Laura; Hospido, Almudena, Univ Santiago de Compostela, Inst Technol, Dept Chem Engn, Grp Environm Biotechnol, Santiago De Compostela 15782, Galicia, Spain.
   Loiseau, Eleonore, Irstea, UMR ITAP, ELSA Res Grp Environm Lifecycle \& Sustainabil Ass, 361 Rue Jean Francois Breton, F-34196 Montpellier, France.}},
DOI = {{10.1016/j.jenvman.2018.04.039}},
ISSN = {{0301-4797}},
EISSN = {{1095-8630}},
Keywords = {{Territorial Life Cycle Assessment (LCA); Hybrid approach; Process-based
   LCA; Input-output analysis; Greenhouse gases; Multicriteria analysis}},
Keywords-Plus = {{INPUT-OUTPUT MODELS; ENVIRONMENTAL ASSESSMENT; CONSUMPTION ACTIVITIES;
   DATABASE; TRADE}},
Research-Areas = {{Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Environmental Sciences}},
Author-Email = {{laura.roibas.cela@usc.es}},
ORCID-Numbers = {{Loiseau, Eleonore/0000-0003-1331-8715
   Roibas, Laura/0000-0003-3991-6537}},
Funding-Acknowledgement = {{FEDER (UE)European Union (EU)}},
Funding-Text = {{This research did not receive any specific grant from funding agencies
   in the public, commercial, or not-for-profit sectors. This work was
   performed during a research stay of L. Roibas at the ELSA Research Group
   for Environmental Lifecycle and Sustainability Assessment. L. Roibas and
   A. Hospido belong to Galician Competitive Research Group ED431C 2017/029
   and to the CRETUS Strategic Partnership (AGRUP2015/02). All these
   programmes are co-funded by FEDER (UE).}},
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Number-of-Cited-References = {{39}},
Times-Cited = {{4}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{13}},
Journal-ISO = {{J. Environ. Manage.}},
Doc-Delivery-Number = {{GG2GO}},
Unique-ID = {{ISI:000432508400082}},
DA = {{2020-08-06}},
}

@article{ ISI:000431156700005,
Author = {Dahlin, Kyla M. and Ault, Toby R.},
Title = {{Global linkages between teleconnection patterns and the terrestrial
   biosphere}},
Journal = {{INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION}},
Year = {{2018}},
Volume = {{69}},
Pages = {{56-63}},
Month = {{JUL}},
Abstract = {{Interannual variability In the global carbon cycle is largely due to
   variations in carbon uptake by terrestrial ecosystems, yet linkages
   between climate variability and variability in the terrestrial carbon
   cycle are not well understood at the global scale. Using a 30-year
   satellite record of semi-monthly leaf area index (LAI), we show that
   four modes of climate variability El Nino/Southern Oscillation, the
   North Atlantic Oscillation, the Atlantic Meridional Mode, and the Indian
   Ocean Dipole Mode strongly impact interannual vegetation growth
   patterns, with 68\% of the land surface impacted by at least one of
   these teleconnection patterns, yet the spatial distribution of these
   impacts is heterogeneous. Considering the patterns' impacts by biome,
   none has an exclusively positive or negative relationship with LAI. Our
   findings imply that future changes in the frequency and/or magnitude of
   teleconnection patterns will lead to diverse changes to the terrestrial
   biosphere and the global carbon cycle.}},
Publisher = {{ELSEVIER}},
Address = {{RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Dahlin, KM (Corresponding Author), Michigan State Univ, Dept Geog Environm \& Spatial Sci, E Lansing, MI 48824 USA.
   Dahlin, KM (Corresponding Author), Michigan State Univ, Program Ecol Evolutionary Biol \& Behav, E Lansing, MI 48824 USA.
   Dahlin, Kyla M., Michigan State Univ, Dept Geog Environm \& Spatial Sci, E Lansing, MI 48824 USA.
   Dahlin, Kyla M., Michigan State Univ, Program Ecol Evolutionary Biol \& Behav, E Lansing, MI 48824 USA.
   Ault, Toby R., Cornell Univ, Dept Earth \& Atmospher Sci, Ithaca, NY 14853 USA.}},
DOI = {{10.1016/j.jag.2018.02.017}},
ISSN = {{0303-2434}},
Keywords = {{Biosphere-atmosphere interactions; Teleconnections; Leaf area index;
   Global ecology}},
Keywords-Plus = {{INDIAN-OCEAN DIPOLE; NORTH-ATLANTIC OSCILLATION; SEA-SURFACE
   TEMPERATURE; CANOPY STRUCTURE; ENSO; PHENOLOGY; MODE; BIODIVERSITY;
   RAINFALL; FAMINE}},
Research-Areas = {{Remote Sensing}},
Web-of-Science-Categories  = {{Remote Sensing}},
Author-Email = {{kdahlin@msu.edu}},
ORCID-Numbers = {{Dahlin, Kyla/0000-0002-6016-2605}},
Funding-Acknowledgement = {{National Center for Atmospheric Research (NCAR) Advanced Study
   ProgramNational Science Foundation (NSF)NSF - Directorate for
   Geosciences (GEO); National Science FoundationNational Science
   Foundation (NSF)}},
Funding-Text = {{This work was supported in part by the National Center for Atmospheric
   Research (NCAR) Advanced Study Program. We would like to acknowledge
   high-performance computing support from Yellowstone
   (ark:/85065/d7wd3xhc) provided by NCAR's Computational and Information
   Systems Laboratory. NCAR is sponsored by the National Science
   Foundation.}},
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