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Number-of-Cited-References = {{63}},
Times-Cited = {{7}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{npj Clim. Atmos. Sci.}},
Doc-Delivery-Number = {{HY3FC}},
Unique-ID = {{ISI:000468007700021}},
OA = {{DOAJ Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000468007700043,
Author = {Martens, Brecht and Waegeman, Willem and Dorigo, Wouter A. and Verhoest,
   Niko E. C. and Miralles, Diego G.},
Title = {{Terrestrial evaporation response to modes of climate variability}},
Journal = {{NPJ CLIMATE AND ATMOSPHERIC SCIENCE}},
Year = {{2018}},
Volume = {{1}},
Abstract = {{Large-scale modes of climate variability (or teleconnection patterns),
   such as the El Nino Southern Oscillation and the North Atlantic
   Oscillation, affect local weather worldwide. However, the response of
   terrestrial water and energy fluxes to these modes of variability is
   still poorly understood. Here, we analyse the response of evaporation to
   16 teleconnection patterns, using a simple supervised learning framework
   and global observation-based datasets of evaporation and its key
   climatic drivers. Our results show that the month-to-month variability
   in terrestrial evaporation is strongly affected by (coupled)
   oscillations in sea-surface temperature and air pressure: in specific
   hotspot regions, up to 40\% of the evaporation dynamics can be explained
   by climate indices describing the fundamental modes of climate
   variability. While the El Nino Southern Oscillation affects the dynamics
   in land evaporation worldwide, other phenomena such as the East
   Pacific-North Pacific teleconnection pattern are more dominant at
   regional scales. Most modes of climate variability affect terrestrial
   evaporation by inducing changes in the atmospheric demand for water.
   However, anomalies in precipitation associated to particular
   teleconnections are crucial for the evaporation in water-limited
   regimes, as well as in forested regions where interception loss forms a
   substantial fraction of total evaporation. Our results highlight the
   need to consider the concurrent impact of these teleconnections to
   accurately predict the fate of the terrestrial branch of the
   hydrological cycle, and provide observational evidence to help improve
   the representation of surface fluxes in Earth system models.}},
Publisher = {{NATURE PUBLISHING GROUP}},
Address = {{MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Martens, B (Corresponding Author), Univ Ghent, Lab Hydrol \& Water Management, Ghent, Belgium.
   Martens, Brecht; Verhoest, Niko E. C.; Miralles, Diego G., Univ Ghent, Lab Hydrol \& Water Management, Ghent, Belgium.
   Waegeman, Willem, Univ Ghent, Dept Data Anal \& Math Modelling, Ghent, Belgium.
   Dorigo, Wouter A., Vienna Univ Technol, Dept Geodesy \& Geoinformat, Vienna, Austria.}},
DOI = {{10.1038/s41612-018-0053-5}},
Article-Number = {{43}},
ISSN = {{2397-3722}},
Keywords-Plus = {{PACIFIC OSCILLATION; LAND EVAPORATION; NORTH-ATLANTIC; TELECONNECTION;
   SATELLITE; PRECIPITATION; TEMPERATURE; PATTERNS; EVAPOTRANSPIRATION;
   HYDROCLIMATOLOGY}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{Brecht.Martens@ugent.be}},
ResearcherID-Numbers = {{Dorigo, Wouter A/C-7794-2014
   Miralles, Diego G/K-8857-2013
   Verhoest, Niko/C-9726-2010}},
ORCID-Numbers = {{Dorigo, Wouter A/0000-0001-8054-7572
   Miralles, Diego G/0000-0001-6186-5751
   Martens, Brecht/0000-0002-7368-7953
   Verhoest, Niko/0000-0003-4116-8881}},
Funding-Acknowledgement = {{Belgian Science Policy Office (BELSPO) in the framework of the STEREO
   III programme {[}SR/00/306]; European Research Council (ERC)European
   Research Council (ERC) {[}715254]; Ghent UniversityGhent University;
   Flemish Government-department EWI; FWOFWO}},
Funding-Text = {{This work is partly funded by the Belgian Science Policy Office (BELSPO)
   in the framework of the STEREO III programme, project SAT-EX
   (SR/00/306). D.G.M. acknowledges support from the European Research
   Council (ERC) under grant agreement 715254 (DRY-2-DRY). We acknowledge
   Kevin Trenberth for the useful discussions. The computational resources
   (Stevin Supercomputer Infrastructure) and services used in this work
   were provided by the VSC (Flemish Supercomputer Center), funded by Ghent
   University, FWO, and the Flemish Government-department EWI.}},
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Number-of-Cited-References = {{54}},
Times-Cited = {{8}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{4}},
Journal-ISO = {{npj Clim. Atmos. Sci.}},
Doc-Delivery-Number = {{HY3FC}},
Unique-ID = {{ISI:000468007700043}},
OA = {{DOAJ Gold, Green Published}},
DA = {{2020-08-06}},
}

@article{ ISI:000468007700054,
Author = {Mundhenk, Bryan D. and Barnes, Elizabeth A. and Maloney, Eric D. and
   Baggett, Cory F.},
Title = {{Skillful empirical subseasonal prediction of landfalling atmospheric
   river activity using the Madden-Julian oscillation and quasi-biennial
   oscillation}},
Journal = {{NPJ CLIMATE AND ATMOSPHERIC SCIENCE}},
Year = {{2018}},
Volume = {{1}},
Abstract = {{Upon landfall, atmospheric rivers (ARs)-plumes of intense water vapor
   transport-often trigger weather and hydrologic extremes. Presently, no
   guidance is available to alert decision makers to anomalous AR activity
   within the subseasonal time scale (similar to 2-5 weeks). Here, we
   construct and evaluate an empirical prediction scheme for anomalous AR
   activity based solely on the initial state of two prominent modes of
   tropical variability: the Madden-Julian oscillation (MJO) and the
   quasi-biennial oscillation (QBO). The MJO-the dominant mode of
   intraseasonal variability in the tropical troposphere-modulates
   landfalling AR activity along the west coast of North America by
   exciting large-scale circulation anomalies over the North Pacific. In
   light of emerging science regarding the modulation of the MJO by the
   QBO-the dominant mode of interannual variability in the tropical
   stratosphere-we demonstrate that the MJO-AR relationship is further
   influenced by the QBO. Evaluating the prediction scheme over 36 boreal
   winter seasons, we find skillful subseasonal ``forecasts of
   opportunity{''} when knowledge of the MJO and the QBO can be leveraged
   to predict periods of increased or decreased AR activity. Certain MJO
   and QBO phase combinations provide empirical subseasonal predictive
   skill for anomalous AR activity that exceeds that of a state-of-the-art
   numerical weather prediction model. Given the wide-ranging impacts
   associated with landfalling ARs, even modest gains in the subseasonal
   prediction of anomalous AR activity may support decision making and
   benefit numerous sectors of society.}},
Publisher = {{NATURE PUBLISHING GROUP}},
Address = {{MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Mundhenk, BD (Corresponding Author), Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USA.
   Mundhenk, Bryan D.; Barnes, Elizabeth A.; Maloney, Eric D.; Baggett, Cory F., Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USA.}},
DOI = {{10.1038/s41612-017-0008-2}},
Article-Number = {{20177}},
ISSN = {{2397-3722}},
Keywords-Plus = {{FORECASTS; WEATHER; PREDICTABILITY; TELECONNECTION; PRECIPITATION;
   TEMPERATURE}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{bryan.mundhenk@colostate.edu}},
ResearcherID-Numbers = {{Maloney, Eric D/A-9327-2008
   Barnes, Elizabeth A/O-1790-2014}},
ORCID-Numbers = {{Maloney, Eric D/0000-0002-2660-2611
   Barnes, Elizabeth A/0000-0003-4284-9320}},
Funding-Acknowledgement = {{National Science Foundation Climate and Large-Scale Dynamics
   ProgramNational Science Foundation (NSF)NSF - Directorate for
   Geosciences (GEO) {[}AGS-1441916]; NOAA Modeling, Analysis, Predictions,
   and Projections Program S2S Prediction Task Force {[}NA16OAR4310064];
   NOAA NWS Office of Science and Technology grant {[}NA16NWS4680022]}},
Funding-Text = {{Financial support for this study was provided, in part, by the National
   Science Foundation Climate and Large-Scale Dynamics Program under grant
   AGS-1441916, the NOAA Modeling, Analysis, Predictions, and Projections
   Program S2S Prediction Task Force under grant NA16OAR4310064, and the
   NOAA NWS Office of Science and Technology grant NA16NWS4680022.}},
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Number-of-Cited-References = {{42}},
Times-Cited = {{28}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{npj Clim. Atmos. Sci.}},
Doc-Delivery-Number = {{HY3FC}},
Unique-ID = {{ISI:000468007700054}},
OA = {{DOAJ Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000468007700023,
Author = {Yadav, Ramesh Kumar and Srinivas, G. and Chowdary, Jasti S.},
Title = {{Atlantic Nino modulation of the Indian summer monsoon through Asian jet}},
Journal = {{NPJ CLIMATE AND ATMOSPHERIC SCIENCE}},
Year = {{2018}},
Volume = {{1}},
Abstract = {{The Indian rainfall and the Atlantic Nino peaks during summer month and
   have inverse relationship. This relationship has been revisited in the
   current study and it is found that the Atlantic Nino significantly
   influences a dipole pattern of rainfall in the north-east and the
   north-western parts of India. The positive phase of the Atlantic Nino
   intensifies the inter-tropical convergence zone, as a result of this
   local tropospheric warming, over the equatorial east Atlantic and west
   Africa, owing to the enlargement of the upper-troposphere divergence.
   This provokes meridional stationary wave owing to the stronger
   meridional transfer of energy, as the influences of background
   jet-streams are minimal over North Africa and Europe. This results in
   the consecutive anomalous negative, positive, and negative geopotential
   heights (GPHs) over the tropical east Atlantic, Mediterranean, and
   north-west Europe, respectively. The north-west Europe acts as the
   center of action for the propagation of a Rossby wave train zonally
   oriented toward central Asia reinforcing positive GPH anomaly over
   there. The positive GPH anomaly reduces the Asian subtropical westerly
   jet-stream east of the Caspian Sea, owing to the reduction in the
   upper-troposphere divergence toward the Indian subcontinent and caused
   for above (below) normal north-east (north-west) Indian summer monsoon
   rainfall. The atmospheric general circulation model captures general
   characteristics of wave pattern and changes in the Asian jet when
   correlated with Atlantic Nino with considerable skill.}},
Publisher = {{NATURE PUBLISHING GROUP}},
Address = {{MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Yadav, RK (Corresponding Author), Indian Inst Trop Meteorol, Pune 411008, Maharashtra, India.
   Yadav, Ramesh Kumar; Srinivas, G.; Chowdary, Jasti S., Indian Inst Trop Meteorol, Pune 411008, Maharashtra, India.
   Srinivas, G., Andhra Univ, Dept Meteorol \& Oceanog, Visakhapatnam 530003, AP, India.}},
DOI = {{10.1038/s41612-018-0029-5}},
Article-Number = {{23}},
ISSN = {{2397-3722}},
Keywords-Plus = {{SEA-SURFACE TEMPERATURES; TROPICAL ATLANTIC; EQUATORIAL ATLANTIC;
   VARIABILITY; CLIMATE; TELECONNECTION; AFRICAN; SST; CIRCULATION;
   MECHANISM}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{yadav@tropmet.res.in}},
Funding-Acknowledgement = {{ESSO-IITM}},
Funding-Text = {{We acknowledge Director, ESSO-IITM for support. The data have been taken
   from Web sites and all data sources are duly acknowledged. We thank the
   anonymous reviewers for the comments that helped us to improve the
   manuscript. Computational and graphical analyses required for this study
   have been completed with the free software xmgrace, NCL and Ferret. We
   thank Yuko Okumura (University of Texas Institute for Geophysics) and
   CESM (Community Earth System Model) Climate Variability Working Group
   for making the CAM3 TOGA simulations available.}},
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Number-of-Cited-References = {{46}},
Times-Cited = {{6}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{1}},
Journal-ISO = {{npj Clim. Atmos. Sci.}},
Doc-Delivery-Number = {{HY3FC}},
Unique-ID = {{ISI:000468007700023}},
OA = {{DOAJ Gold}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000461320201111,
Author = {Venkatesan, R. and Atmanand, M. A. and Latha, G. and Kesavakumar, B.},
Book-Group-Author = {{IEEE}},
Title = {{Indian Ocean Observation program - Two Decades of Service to the Society}},
Booktitle = {{OCEANS 2018 MTS/IEEE CHARLESTON}},
Year = {{2018}},
Note = {{Conference on OCEANS MTS/IEEE Charleston, Charleston, SC, OCT 22-25,
   2018}},
Organization = {{IEEE Charleston}},
Abstract = {{Indian moored surface buoy(IMSB) observation network is continuously
   reporting the valuable atmospheric, surface and sub-surface
   oceanographic data and the system is being upgraded with the latest
   technological improvements for increased precision in spacio-temporal
   measurements. IMSB is also augmented with tsunameter for tsunami early
   warning applications at tsunamigenic locations. The location of
   observing network ranges from coastal, deep sea and polar region. IMSBs
   are also equipped with camera and surveillance system at few locations.
   The buoy systems are incorporated with state of the art technology
   features such as automatic high frequency data mode during cyclone,
   simultaneous interface to multiple telemetry system, intelligent power
   management module etc. The IndARC mooring deployed at Kongsfjorden,
   Arctic has helped in understanding the teleconnection between the Indian
   monsoon and influence of polar region. Various components of the IMSB
   including the intelligent data acquisition system are indigenized and
   functioning continuously at harsh marine environment conditions.
   The data from these buoy systems has helped in providing precise
   information on approaching cyclone and tsunamis. This paper briefs the
   experiences on sustaining moored buoy systems in tropical and polar
   region, interface of multiple energy sources for powering buoy system
   and extensive information on bio fouling and its preventive measures
   followed.The Mean Time Between Failure (MTBF) value of buoy system was
   improved from 1 year in 2010 to 12 years in 2013 by continuous
   performance monitoring and corrective action cum technology improvement
   methodology. Apart from maintenance of buoy systems, the paper also
   describes efforts on development of products for ocean observation which
   are available for transfer of technology to industry for large scale
   commercialization.}},
Publisher = {{IEEE}},
Address = {{345 E 47TH ST, NEW YORK, NY 10017 USA}},
Type = {{Proceedings Paper}},
Language = {{English}},
Affiliation = {{Venkatesan, R (Corresponding Author), Govt India, Minist Earth Sci, Natl Inst Ocean Technol, Chennai, Tamil Nadu, India.
   Venkatesan, R.; Atmanand, M. A.; Latha, G.; Kesavakumar, B., Govt India, Minist Earth Sci, Natl Inst Ocean Technol, Chennai, Tamil Nadu, India.}},
ISBN = {{978-1-5386-4814-8}},
Keywords = {{OMNI; Indian Moored buoy system; LIDS; Cyclone; IndARC}},
Keywords-Plus = {{BUOY NETWORK; BAY}},
Research-Areas = {{Engineering}},
Web-of-Science-Categories  = {{Engineering, Marine}},
Author-Email = {{venkat@niot.res.in}},
Funding-Acknowledgement = {{Ministry of Earth Sciences MoES, Govt. of IndiaMinistry of Earth Science
   (MoES), Government of India}},
Funding-Text = {{The authors thank Ministry of Earth Sciences MoES, Govt. of India, for
   funding the ocean observation network programme and the members of the
   National Expert Committee for evolving this programme. Directors of
   NIOT, NCAOR, Goa and INCOIS, Hyderabad are thanked for providing all the
   facilities and support. We also thank the staffs of Ocean Observation
   Systems (OOS) group, Vessel Management Cell of the NIOT and ship staff
   for their excellent help and support on board.}},
Cited-References = {{Kesavakumar B, 2013, OC EL SYMBOL COCH IN.
   Kumar TS, 2016, MAR TECHNOL SOC J, V50, P92.
   McPhaden MJ, 2009, B AM METEOROL SOC, V90, P479.
   McPhaden MJ, 2010, ESA PUBLICATION, V2.
   Venkatesan R., 2016, International Journal of Ocean and Climate Systems, V7, P55, DOI 10.1177/1759313116642898.
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   Venkatesan R, 2014, CURR SCI INDIA, V107, P589.
   Venkatesan R, 2013, CURR SCI INDIA, V104, P1166.
   Venkatesan R., OPERATIONAL OCEANOGR, P1.}},
Number-of-Cited-References = {{9}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{1}},
Doc-Delivery-Number = {{BM2QP}},
Unique-ID = {{ISI:000461320201111}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000459714100309,
Author = {Popova, V. V.},
Editor = {{Matvienko, GG and Romanovskii, OA}},
Title = {{Extreme heat in June 2012 and 2016 in Western Siberia in the light of
   long-term change of the macro-scale atmospheric circulation}},
Booktitle = {{24TH INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS:
   ATMOSPHERIC PHYSICS}},
Series = {{Proceedings of SPIE}},
Year = {{2018}},
Volume = {{10833}},
Note = {{24th International Symposium on Atmospheric and Ocean Optics -
   Atmospheric Physics, Tomsk, RUSSIA, JUL 02-05, 2018}},
Organization = {{Russian Acad Sci, Siberian Branch, V E Zuev Inst Atmospher Opt; Russian
   Acad Sci, Siberian Branch, Inst Solar Terrestrial Phys; Russian Fdn
   Basic Res; Russian Acad Sci, Siberian Branch}},
Abstract = {{The temperature anomalies in early summer in Western Siberia, including
   the extreme heat of 2012 and 2016, are studied in terms of variations in
   large-scale atmospheric circulation (according to Northern Hemisphere
   Teleconnection Patterns). Estimates obtained using multiple stepwise
   regression show that the observed temperature changes from the mid-20th
   century, including long-term change, inter-annual variation and
   extremes, can be explained by the anomalies of several circulation
   modes. Macro-scale atmospheric circulation from the late 1980s - early
   1990s can be characterized as a weakening of the westerly circulation,
   which is naturally accompanied by an increase in the frequency of
   blocking and temperature anomalies. The extreme manifestation of this
   Macro-scale circulation was catastrophic heat in Western Siberia in 2012
   and 2016.}},
Publisher = {{SPIE-INT SOC OPTICAL ENGINEERING}},
Address = {{1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA}},
Type = {{Proceedings Paper}},
Language = {{English}},
Affiliation = {{Popova, VV (Corresponding Author), RAS, Inst Geog, Staromonetny Pereulok,29, Moscow 119017, Russia.
   Popova, V. V., RAS, Inst Geog, Staromonetny Pereulok,29, Moscow 119017, Russia.}},
DOI = {{10.1117/12.2504610}},
Article-Number = {{UNSP 108338N}},
ISSN = {{0277-786X}},
EISSN = {{1996-756X}},
ISBN = {{978-1-5106-2292-0}},
Keywords = {{surface air temperature; extremes; trends; atmospheric circulation
   modes; multiple stepwise regression}},
Research-Areas = {{Oceanography; Remote Sensing; Optics}},
Web-of-Science-Categories  = {{Oceanography; Remote Sensing; Optics}},
Author-Email = {{valeria\_popova@mail.ru}},
ResearcherID-Numbers = {{Popova, Valeria V./J-8193-2014}},
Funding-Acknowledgement = {{RGO {[}17-05-41085]}},
Funding-Text = {{This study was supported by the project of the RGO (No. 17-05-41085).}},
Cited-References = {{Bardin M. Yu., 2016, BASIC APPL CLIMATOLO, V2, P143, DOI {[}10.21513/2410-8758-2016-2-143-148, DOI 10.21513/2410-8758-2016-2-143-148].
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   Popova V. V, 2010, IZV AS ATMOS OCEAN P, V46, P15.}},
Number-of-Cited-References = {{7}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Doc-Delivery-Number = {{BM1FI}},
Unique-ID = {{ISI:000459714100309}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000458689200063,
Author = {Gopal, Kreshna and Khedun, C. Prakash and Sohun, Anoop},
Book-Group-Author = {{IEEE}},
Title = {{Modeling the Influence of Large-Scale Circulation Patterns on
   Precipitation in Mauritius}},
Booktitle = {{2018 INTERNATIONAL CONFERENCE ON INTELLIGENT AND INNOVATIVE COMPUTING
   APPLICATIONS (ICONIC)}},
Year = {{2018}},
Pages = {{440-443}},
Note = {{International Conference on Intelligent \& Innovative Computing
   Applications (ICONIC), Plaine Magnien, MAURITIUS, DEC 06-07, 2018}},
Organization = {{IEEE Mauritius subsect; SITE}},
Abstract = {{Mauritius suffers from chronic water shortages that can severely impact
   its economy and the well-being of its population. Both surface and
   groundwater availability are determined by rainfall, which is in turn
   influenced by large-scale circulation patterns such as the El Nino
   Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD). Here we
   report on the influence of these two teleconnection patterns and present
   the result of a simple neural network for precipitation forecasting,
   based on the state of ENSO and IOD. Data from the Vacaos station, for
   the period 1961 to 2012 is used. We found statistically significant
   correlation between average winter rainfall and ENSO and IOD indices.
   The correlation for summer was negligible. The prediction of summer
   precipitation was less accurate than that of winter precipitation. The
   findings from this study can help in more efficient planning and
   management of water resources on the island.}},
Publisher = {{IEEE}},
Address = {{345 E 47TH ST, NEW YORK, NY 10017 USA}},
Type = {{Proceedings Paper}},
Language = {{English}},
Affiliation = {{Gopal, K (Corresponding Author), Scinova Consulting Ltd, Bryan, TX USA.
   Gopal, Kreshna; Khedun, C. Prakash; Sohun, Anoop, Scinova Consulting Ltd, Bryan, TX USA.}},
ISBN = {{978-1-5386-6477-3}},
Keywords = {{precipitation; ENSO; IOD; neural network}},
Keywords-Plus = {{NEURAL-NETWORKS; PREDICTION}},
Research-Areas = {{Computer Science; Engineering}},
Web-of-Science-Categories  = {{Computer Science, Artificial Intelligence; Computer Science, Theory \&
   Methods; Engineering, Electrical \& Electronic}},
Author-Email = {{kgopal@scinova.com
   pkhedun@scinova.com
   asohun@scinova.com}},
Funding-Acknowledgement = {{Mauritius Research Council (MRC) under the African Adaptation Programme
   {[}MRC/RUN/AAP-1210]}},
Funding-Text = {{Funding for this study was provided by the Mauritius Research Council
   (MRC) under the African Adaptation Programme {[}MRC/RUN/AAP-1210]}},
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Number-of-Cited-References = {{12}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Doc-Delivery-Number = {{BM0EN}},
Unique-ID = {{ISI:000458689200063}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000458674600094,
Author = {Choi, Soobin and Kim, Jaedong},
Book-Group-Author = {{IEEE}},
Title = {{Aggregate Production Framework for Efficiency Analysis and its
   Implementation by Linear Programming}},
Booktitle = {{2018 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND
   ENGINEERING MANAGEMENT (IEEE IEEM)}},
Series = {{International Conference on Industrial Engineering and Engineering
   Management IEEM}},
Year = {{2018}},
Pages = {{467-472}},
Note = {{IEEE International Conference on Industrial Engineering and Engineering
   Management (IEEE IEEM), Bangkok, THAILAND, DEC 16-19, 2018}},
Organization = {{IEEE; IEEE TEMS Thailand Chapter; IEEE TEMS Singapore Chapter; IEEE TEMS
   Hong Kong Chapter}},
Abstract = {{Traditional approaches to efficiency analysis have focused on similar
   firms that use the same technology. However, firms in various
   applications operate with different technologies, adapting to different
   production environments. In this paper, we propose aggregate production
   framework for measuring the efficiency of firms having different
   technologies. We introduce the concept of aggregate production sets that
   describe all possible activities in the economy and show how to use it
   for evaluating efficiency scores. Then, we specify two aggregate
   production models, which provide upper and lower bounds on efficiency
   scores. For use in practice, we incorporate Data Envelopment Analysis
   into our framework. This enables to implement our framework through
   linear programming.}},
Publisher = {{IEEE}},
Address = {{345 E 47TH ST, NEW YORK, NY 10017 USA}},
Type = {{Proceedings Paper}},
Language = {{English}},
Affiliation = {{Choi, S (Corresponding Author), Korea Inst Def Anal, Ctr Def Resource Management, 37 Hoegi Ro, Seoul 02455, South Korea.
   Choi, Soobin; Kim, Jaedong, Korea Inst Def Anal, Ctr Def Resource Management, 37 Hoegi Ro, Seoul 02455, South Korea.}},
ISSN = {{2157-3611}},
ISBN = {{978-1-5386-6786-6}},
Keywords = {{aggregate production; efficiency analysis; input-output analysis; Data
   Envelopment Analysis; linear programming applications; economics}},
Research-Areas = {{Engineering; Operations Research \& Management Science}},
Web-of-Science-Categories  = {{Engineering, Industrial; Operations Research \& Management Science}},
Author-Email = {{soobin.re@gmail.com
   soobahkin@gmail.com}},
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Number-of-Cited-References = {{19}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Doc-Delivery-Number = {{BM0DN}},
Unique-ID = {{ISI:000458674600094}},
DA = {{2020-08-06}},
}

@article{ ISI:000458778300004,
Author = {Hermannsson, Kristinn and McGregor, Peter G. and Swales, J. Kim},
Title = {{Students' consumption expenditures in economic impact studies:
   assumptions revisited in an input-output approach for Scotland}},
Journal = {{REGIONAL STUDIES REGIONAL SCIENCE}},
Year = {{2018}},
Volume = {{5}},
Number = {{1}},
Pages = {{57-77}},
Abstract = {{This paper revisits the application of impact-study methods to the
   consumption expenditures of students. Whilst the academic literature on
   the subject is mature, it has traditionally applied simplifying
   assumptions concerning the exogeneity of expenditures, which tend to
   over- or underestimate the impact of local students, depending on the
   particular approach adopted. To resolve this issue, we invoke the
   principles of input-output analysis and specify a model where
   consumption expenditures can be partially endogenous and partially
   exogenous. The origin of the income used to fund consumption
   expenditures determines their exogeneity. This model is calibrated using
   the results from an income-expenditure survey. These general issues are
   relevant to any application of impact analysis where the initial
   injection is a consumption expenditure shock. The approach is
   demonstrated using Scottish data for 2013. Figures are produced, on a
   comparable basis, for the effects of the consumption expenditure of
   students from each of the Scottish higher education institutions (HEIs).
   We demonstrate that the biases introduced by employing the assumptions
   usually adopted in the literature are particularly distorting for HEIs
   that largely serve local students.}},
Publisher = {{ROUTLEDGE JOURNALS, TAYLOR \& FRANCIS LTD}},
Address = {{2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Hermannsson, K (Corresponding Author), Univ Glasgow, Robert Owen Ctr, Sch Educ, Glasgow, Lanark, Scotland.
   Hermannsson, Kristinn, Univ Glasgow, Robert Owen Ctr, Sch Educ, Glasgow, Lanark, Scotland.
   McGregor, Peter G.; Swales, J. Kim, Univ Strathclyde, Fraser Allander Inst, Dept Econ, Glasgow, Lanark, Scotland.}},
DOI = {{10.1080/21681376.2018.1428499}},
ISSN = {{2168-1376}},
Keywords = {{Input-output; impact; higher education; students; consumption
   expenditures}},
Keywords-Plus = {{URBAN; UNIVERSITIES; COLLEGES}},
Research-Areas = {{Geography}},
Web-of-Science-Categories  = {{Geography}},
Author-Email = {{kristinn.hermannsson@glasgow.ac.uk}},
ORCID-Numbers = {{Hermannsson, Kristinn/0000-0001-9957-3914
   McGregor, Peter/0000-0003-1221-7963}},
Funding-Acknowledgement = {{Impact of Higher Education Institutions on Regional Economies Initiative
   {[}RES-171-25-0032]; Scottish Funding Council; Higher Education Funding
   Council for England (HEFCE)Higher Education Funding Council for England;
   Higher Education Funding Council for Wales (HEFCW)Higher Education
   Funding Council for England; Department for Employment and Learning
   Northern Ireland}},
Funding-Text = {{This project is a part of the Impact of Higher Education Institutions on
   Regional Economies Initiative (RES-171-25-0032) and was funded by the
   Scottish Funding Council, the Higher Education Funding Council for
   England (HEFCE), the Higher Education Funding Council for Wales (HEFCW),
   and the Department for Employment and Learning Northern Ireland.}},
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Number-of-Cited-References = {{35}},
Times-Cited = {{3}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Journal-ISO = {{Reg. Stud. Reg. Sci.}},
Doc-Delivery-Number = {{HL5OS}},
Unique-ID = {{ISI:000458778300004}},
OA = {{DOAJ Gold, Green Accepted}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000457680400041,
Author = {Kolvekova, Gabriela and Palascakova, D.},
Editor = {{Jakab, F}},
Title = {{A Country Benefits Related to Education Sector using the Data for
   Input-Output Analysis}},
Booktitle = {{2018 16TH INTERNATIONAL CONFERENCE ON EMERGING ELEARNING TECHNOLOGIES
   AND APPLICATIONS (ICETA)}},
Year = {{2018}},
Pages = {{279-284}},
Note = {{16th International Conference on Emerging eLearning Technologies and
   Applications (ICETA), Stary Smokovec, SLOVAKIA, NOV 15-16, 2018}},
Organization = {{IEEE, Czechoslovakia Sect; ELFA}},
Abstract = {{Value Chain in household can he easy to observe contrary to Global Value
   Chains. This observation is available via Input-Output Analysis of
   economic sectors. Education sector is specific one in terms of
   investment and benefits. Paper provides data on inputs of education
   sector flowing from Slovak Republic to all sectors of four neighboring
   countries. Input data are emphasizing the technical coefficients. Second
   part of analysis is complementing data of coefficients with explanatory
   implications. First implication is concerning Lifelong education as an
   imperative of shared economy. Second implication is addressing issue of
   digital literacy that provides a support for many activities in shared
   economy. Third implication was an sustainability that is a crux of using
   limited sources as inputs.}},
Publisher = {{IEEE}},
Address = {{345 E 47TH ST, NEW YORK, NY 10017 USA}},
Type = {{Proceedings Paper}},
Language = {{English}},
Affiliation = {{Kolvekova, G (Corresponding Author), Tech Univ Kosice, Dept Econ Theories, Fac Econ, Kosice, Slovakia.
   Kolvekova, Gabriela; Palascakova, D., Tech Univ Kosice, Dept Econ Theories, Fac Econ, Kosice, Slovakia.}},
ISBN = {{978-1-5386-7914-2}},
Keywords-Plus = {{CHAIN; EFFICIENCY; INTERNET}},
Research-Areas = {{Computer Science; Education \& Educational Research}},
Web-of-Science-Categories  = {{Computer Science, Interdisciplinary Applications; Education \&
   Educational Research; Education, Scientific Disciplines}},
Author-Email = {{Gabriela.Kolvekova@tuke.sk
   Daniela.Palascakova@tuke.sk}},
ResearcherID-Numbers = {{Palascakova, Daniela/AAA-4267-2020
   Kolvekova, Gabriela/C-3881-2018}},
Funding-Acknowledgement = {{ {[}VEGA 1/0961/16]}},
Funding-Text = {{Paper is a part of project findings, the project is: VEGA 1/0961/16 -
   ``Economic Implications and Perspectives of the Participation of Slovak
   Republic in the Process of Production Activities Fragmentation within
   Global Value Chains{''}.}},
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Number-of-Cited-References = {{48}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{3}},
Doc-Delivery-Number = {{BL9MM}},
Unique-ID = {{ISI:000457680400041}},
DA = {{2020-08-06}},
}

@article{ ISI:000458116100006,
Author = {Yu, Qiangyi and Verburg, Peter H. and Wu, Wenbin},
Title = {{Environmental cognitions mediate the causal explanation of land change}},
Journal = {{JOURNAL OF LAND USE SCIENCE}},
Year = {{2018}},
Volume = {{13}},
Number = {{5}},
Pages = {{535-548}},
Abstract = {{Causal explanations of land change are fundamental in land system
   science, yet existing findings are difficult to synthesize due to the
   imprecise terminology and the various analytical frameworks they have
   applied. This paper compares three existing conceptual frameworks, in
   terms of underlying driving forces and proximate causes, actors, and
   environmental cognitions, by aligning the relevant elements into a
   causal chain. We find that the elicitation of environmental cognitions
   helps in providing a detailed description of this causal chain. By
   synthesizing case study evidence on agricultural land change into the
   generalized causal chain, we find that the effects of underlying driving
   forces on land change have been substantially mediated by environmental
   cognitions. Operationalizing environmental cognitions requires more
   efforts than regular actor-based studies, but a proper understanding of
   its mediating role should be accounted for in local scale studies and is
   essential for human-centred policy design.}},
Publisher = {{TAYLOR \& FRANCIS LTD}},
Address = {{2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Yu, QY; Wu, WB (Corresponding Author), Chinese Acad Agr Sci, Inst Agr Resources \& Reg Planning, Key Lab Agr Remote Sensing AGRIRS, Beijing 100081, Peoples R China.
   Yu, Qiangyi; Wu, Wenbin, Chinese Acad Agr Sci, Inst Agr Resources \& Reg Planning, Minist Agr \& Rural Affairs, Key Lab Agr Remote Sensing AGRIRS, Beijing, Peoples R China.
   Verburg, Peter H., Vrije Univ Amsterdam, Inst Environm Studies IVM, Environm Geog Grp, Amsterdam, Netherlands.
   Verburg, Peter H., Swiss Fed Inst Forest, Snow \& Landscape WSL, Birmensdorf, Switzerland.}},
DOI = {{10.1080/1747423X.2019.1567837}},
ISSN = {{1747-423X}},
EISSN = {{1747-4248}},
Keywords = {{Attitude; causal chain; decision-making; driver; land use change;
   perception}},
Keywords-Plus = {{DRIVING FORCES; CLIMATE-CHANGE; AGRICULTURAL LAND; SYSTEM SCIENCE;
   FARMERS; PERCEPTION; TRANSITION; FRAMEWORK; ATTITUDES; DYNAMICS}},
Research-Areas = {{Agriculture; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Agriculture, Multidisciplinary; Ecology}},
Author-Email = {{yuqiangyi@caas.cn}},
ResearcherID-Numbers = {{Verburg, Peter H/Z-1582-2019
   Verburg, Peter/A-8469-2010
   Yu, Qiangyi/J-9360-2014}},
ORCID-Numbers = {{Verburg, Peter/0000-0002-6977-7104
   Yu, Qiangyi/0000-0002-6457-3583}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}41501111]; National Key Research and Development
   Program of China {[}2017YFE0104600]; Fundamental Research Funds for
   Central Non-profit Scientific Institution {[}IARRP-2017-27,
   IARRP-2017-65]}},
Funding-Text = {{This work was supported by the National Natural Science Foundation of
   China {[}41501111]; the National Key Research and Development Program of
   China {[}2017YFE0104600]; and the Fundamental Research Funds for Central
   Non-profit Scientific Institution {[}IARRP-2017-27, IARRP-2017-65].}},
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Number-of-Cited-References = {{50}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{6}},
Usage-Count-Since-2013 = {{10}},
Journal-ISO = {{J. Land Use Sci.}},
Doc-Delivery-Number = {{HK6TA}},
Unique-ID = {{ISI:000458116100006}},
DA = {{2020-08-06}},
}

@article{ ISI:000455828400003,
Author = {Chandrasekara, S. S. K. and Chandrasekara, S. K. and Prasanna, V. and
   Kwon, H-H.},
Title = {{Teleconnection between Cold ENSO Phases and Seasonal Rainfall Over Sri
   Lanka: Case Study in Kotmale Catchment}},
Journal = {{ENGINEER-JOURNAL OF THE INSTITUTION OF ENGINEERS SRI LANKA}},
Year = {{2018}},
Volume = {{51}},
Number = {{4}},
Pages = {{27-34}},
Abstract = {{Cold ENSO phase or La-Nina is the least considered atmospheric
   oscillation in the hydro-meteorological sector in Sri Lanka. Therefore,
   this study focused on understanding teleconnection between cold ENSO
   phases and the seasonal rainfall over Kotmale catchment. Daily rainfall
   data of 9meteorological stations were used to investigate behaviour of
   annual rainfall climatologies of the catchment. Daily mean inflow data
   of Kotmale reservoir for the duration of 1984-2012 was analysed to
   understand the trends of the reservoir inflow. Sea surface temperature
   values were extracted from the Japan Meteorological Agency to determine
   cold ENSO phase. Rainfall trend for each station and inflow trend of the
   reservoir both declined throughout the selected time duration. However
   the rate of decreasing trend changes with each station. Seasonal
   rainfall of all the stations showed negative correlation with mean sea
   surface temperature over Nino 3 region for December to September. Cold
   ENSO phases encounter prominent above-average seasonal rainfall during
   and the onset of South-West monsoon. Further, onset and during of
   North-East monsoon rainfall over the catchment was weakened due to the
   impact of cold ENSO phase over Nino 3 region. However, further studies
   are suggested to identify hidden opposite phenomenon observed during
   cold ENSO phases on 1964 and 1967 in Kotmale catchment, where all the
   stations experienced worst below-average seasonal rainfall.}},
Publisher = {{INST ENGINEERS SRI LANKA}},
Address = {{NO 120-15, WIJERAMA MAWATHA, 00700, SRI LANKA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Chandrasekara, SSK (Corresponding Author), Chonbuk Natl Univ, Dept Civil Engn, Jeonju, South Korea.
   Chandrasekara, S. S. K., Chonbuk Natl Univ, Dept Civil Engn, Jeonju, South Korea.
   Chandrasekara, S. K., Mahaweli Author Sri Lanka, Colombo, Sri Lanka.
   Prasanna, V., NIMS, Seogwipo, South Korea.
   Kwon, H-H., Chonbuk Natl Univ, Dept Civil Engn, Civil Engn, Jeonju, South Korea.}},
DOI = {{10.4038/engineer.v51i4.7311}},
ISSN = {{1800-1122}},
Keywords = {{Cold ENSO phases; Seasonal rainfall; Kotmale}},
Keywords-Plus = {{SOUTHERN-OSCILLATION PHENOMENON; PRECIPITATION; PREDICTABILITY;
   STREAMFLOW; MONSOON}},
Research-Areas = {{Engineering}},
Web-of-Science-Categories  = {{Engineering, Multidisciplinary}},
Author-Email = {{sewwandhi@jbnu.ac.kr
   skchandrasekara@gmail.com
   prasa\_arnala@yahoo.com
   hkwon@jbnu.ac.kr}},
ResearcherID-Numbers = {{Kwon, Hyun-Han/AAC-4359-2020}},
Funding-Acknowledgement = {{Korea Agency for Infrastructure Technology Advancement(KAIA) - Ministry
   of Land, Infrastructure and Transport {[}18AWMP-B121100-03]}},
Funding-Text = {{This work is supported by the Korea Agency for Infrastructure Technology
   Advancement(KAIA) grant funded by the Ministry of Land, Infrastructure
   and Transport (Grant 18AWMP-B121100-03).}},
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Number-of-Cited-References = {{35}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Journal-ISO = {{Eng.-J. Inst. Eng. Sri Lanka}},
Doc-Delivery-Number = {{HH6GT}},
Unique-ID = {{ISI:000455828400003}},
OA = {{Other Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000455562500029,
Author = {Gokdogan, Osman and Bagdatli, M. Cuneyt and Erdogan, Oktay},
Title = {{THE DETERMINATION WITH GEOGRAPHIC INFORMATION SYSTEMS (GIS) MAPPING OF
   THE ENERGY USE EFFICIENCY OF POTATO PRODUCTION AREAS IN TURKEY: A STUDY
   IN NEVSEHIR PROVINCE}},
Journal = {{FRESENIUS ENVIRONMENTAL BULLETIN}},
Year = {{2018}},
Volume = {{27}},
Number = {{12A}},
Pages = {{8917-8927}},
Abstract = {{In this study, the GIS mapping of the energy use efficiency by the farms
   producing potato in Turkey in Nevsehir's Central, Derinkuyu, Urgup
   districts and towns were determined. In the study, survey,
   questionnaire, observation, measurement and calculation methods were
   employed. Based on the ``Proportional Sampling Method{''}, the study
   took place in Nevsehir's Central, Derinkuyu and Urgup districts, where 9
   villages were randomly selected from each district, combining to make up
   a total number of 27 villages and 189 farms in 2016 production season.
   Energy use efficiency, energy productivity, specific energy and net
   energy in potato production were calculated as 1.58, 0.50 kg MJ(-1), 2
   MJ kg(-1) and 40717.69 MJ ha(-1), respectively. The coordinates of the
   studied potato production areas were acquired with the help of Global
   Positioning System (GPS) and the coordinate values were transferred to
   the Digital Elevation Model in digital environment. Energy values and
   spatial points were processed and these location data were
   geo-statistically evaluated in Arc GIS 10.3.1 GIS Software. In
   literature search has indicated that there was never any detailed study
   conducted on determining the energy use efficiency of the potato
   production areas in Nevsehir and on establishing spatial energy
   distribution maps in GIS Mapping.}},
Publisher = {{PARLAR SCIENTIFIC PUBLICATIONS (P S P)}},
Address = {{ANGERSTR. 12, 85354 FREISING, GERMANY}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Gokdogan, O (Corresponding Author), Nevsehir Haci Bektas Veli Univ, Fac Engn Architecture, Dept Biosyst Engn, TR-50300 Nevsehir, Turkey.
   Gokdogan, Osman; Bagdatli, M. Cuneyt; Erdogan, Oktay, Nevsehir Haci Bektas Veli Univ, Fac Engn Architecture, Dept Biosyst Engn, TR-50300 Nevsehir, Turkey.}},
ISSN = {{1018-4619}},
EISSN = {{1610-2304}},
Keywords = {{Energy use efficiency; GIS mapping; Potato; Turkey}},
Keywords-Plus = {{SUGAR-BEET PRODUCTION; DIFFERENT TILLAGE METHODS; INPUT-OUTPUT-ANALYSIS;
   ECONOMIC-ANALYSIS; TOKAT PROVINCE; FARMING SYSTEMS; L. PRODUCTION;
   AGRICULTURE; INTERPOLATION; CONSUMPTION}},
Research-Areas = {{Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Environmental Sciences}},
Author-Email = {{osmangokdogan@gmail.com}},
Funding-Acknowledgement = {{Scientific Research Project Fund of Nevsehir Haci Bektas Veli University
   {[}NEUBAP16F43]}},
Funding-Text = {{This study is supported by the Scientific Research Project Fund of
   Nevsehir Haci Bektas Veli University under the project number:
   NEUBAP16F43.}},
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