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Number-of-Cited-References = {{184}},
Times-Cited = {{78}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{13}},
Journal-ISO = {{J. Geophys. Res.-Oceans}},
Doc-Delivery-Number = {{660JF}},
Unique-ID = {{ISI:000181829500001}},
DA = {{2020-08-06}},
}

@article{ ISI:000180100000045,
Author = {Grubbstrom, RW and Wang, ZP},
Title = {{A stochastic model of multi-level/multi-stage capacity-constrained
   production-inventory systems}},
Journal = {{INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS}},
Year = {{2003}},
Volume = {{81-2}},
Number = {{SI}},
Pages = {{483-494}},
Month = {{JAN 11}},
Note = {{11th International Symposium on Inventories, BUDAPEST, HUNGARY, AUG,
   2000}},
Abstract = {{A great deal of research has been done on capacity-constrained
   production-inventory systems, most of which concerns deterministic
   demand situations and single-product systems. In this paper we present a
   model of a multi-level capacity-constrained system when external demand
   is stochastic. Unlike the traditional total cost objective, adopted in
   the vast majority of capacity-constrained production-inventory models,
   the (expected) Net Present Value is here used as the objective function.
   Dynamic programming is chosen as the solution procedure. Numerical
   examples are given to explain the model and to illustrate features when
   changing available capacity.
   The Laplace transform together with input-output analysis are employed
   as tools to construct the model. This approach has been used in previous
   research to formulate a theoretical base for Material Requirements
   Planning (MRP) systems.
   The paper provides a further argument for the use of transforms in
   combination with matrix representations of product structures and
   capacity requirements, and it extends previous theory in the direction
   of capacity considerations combined with uncertainty in external demand.
   Dynamic programming is also shown to be a practical method for the
   multi-stage optimisation involved.
   The numerical examples further illustrate, for instance, the natural
   propensity for subordinate items to be lot sized in a more lumpy way
   than their parents, and also how the marginal benefit of capacity
   increments follows the law of diminishing returns. Also comparisons are
   made with solutions from the deterministic equivalence model, using
   average demand as a proxy. (C) 2002 Published by Elsevier Science B.V.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article; Proceedings Paper}},
Language = {{English}},
Affiliation = {{Grubbstrom, RW (Corresponding Author), Linkoping Inst Technol, Dept Prod Econ, S-58183 Linkoping, Sweden.
   Linkoping Inst Technol, Dept Prod Econ, S-58183 Linkoping, Sweden.}},
DOI = {{10.1016/S0925-5273(02)00358-4}},
Article-Number = {{PII S0925-5273(02)00358-4}},
ISSN = {{0925-5273}},
EISSN = {{1873-7579}},
Keywords = {{material requirements planning; Laplace transform; input-output
   analysis; capacity constraints; stochastic demand}},
Keywords-Plus = {{REQUIREMENTS}},
Research-Areas = {{Engineering; Operations Research \& Management Science}},
Web-of-Science-Categories  = {{Engineering, Industrial; Engineering, Manufacturing; Operations Research
   \& Management Science}},
Author-Email = {{rwg@ipe.liu.se
   zhiwa@ida.liu.se}},
Cited-References = {{Andersson L.-E., 1994, WP210 LINK I TECHN D.
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   Vazsonyi A., 1955, MANAGE SCI, V1, P70.}},
Number-of-Cited-References = {{17}},
Times-Cited = {{38}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{16}},
Journal-ISO = {{Int. J. Prod. Econ.}},
Doc-Delivery-Number = {{630GW}},
Unique-ID = {{ISI:000180100000045}},
DA = {{2020-08-06}},
}

@article{ ISI:000180582500010,
Author = {Chiew, FHS and Zhou, SL and McMahon, TA},
Title = {{Use of seasonal streamflow forecasts in water resources management}},
Journal = {{JOURNAL OF HYDROLOGY}},
Year = {{2003}},
Volume = {{270}},
Number = {{1-2}},
Pages = {{135-144}},
Month = {{JAN 10}},
Abstract = {{The interannual variability in streamflow presents challenges in
   managing the associated risks and opportunities of water resources
   systems. This paper investigates the use of seasonal streamflow
   forecasts to help manage three water resources systems in south-east
   Australia. The seasonal streamflow forecasts are derived from the serial
   correlation in streamflow and the relationship between El Nino/Southern
   Oscillation (ENSO) and streamflow. This paper investigates the use of
   ENSO and serial correlation in reservoir inflow to optimise water
   restriction rules for an urban township and the use of seasonal
   forecasts of reservoir inflow to help make management decisions in two
   irrigation systems. The results show a marginal benefit in using
   seasonal streamflow forecasts in the three management examples. The
   results suggest that although the ENSO-streamflow teleconnection and the
   serial correlation in streamflow are statistically significant, the
   correlations are not sufficiently high to considerably benefit the
   management of conservative low-risk water resources systems. However,
   the seasonal forecasts can be used in the system simulations to provide
   an indication of the likely increases in the available water resources
   through an irrigation season, to allow irrigators to make more informed
   risk-based management decisions. (C) 2002 Elsevier Science B.V. All
   rights reserved.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Chiew, FHS (Corresponding Author), Univ Melbourne, Cooperat Res Ctr Catchment Hydrol, Dept Civil \& Environm Engn, Parkville, Vic 3010, Australia.
   Univ Melbourne, Cooperat Res Ctr Catchment Hydrol, Dept Civil \& Environm Engn, Parkville, Vic 3010, Australia.}},
DOI = {{10.1016/S0022-1694(02)00292-5}},
Article-Number = {{PII S0022-1694(02)00292-5}},
ISSN = {{0022-1694}},
Keywords = {{water management; streamflow forecast; water allocation; El Nino;
   southern oscillation}},
Research-Areas = {{Engineering; Geology; Water Resources}},
Web-of-Science-Categories  = {{Engineering, Civil; Geosciences, Multidisciplinary; Water Resources}},
ResearcherID-Numbers = {{McMahon, Thomas/AAD-9845-2020
   Chiew, Francis/A-9743-2011}},
Cited-References = {{CAMP S, 1989, BENALLA WATER SUPPLY.
   Chiew FHS, 1998, J HYDROL, V204, P138, DOI 10.1016/S0022-1694(97)00121-2.
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   1994, HYDROTECHNOLOGY ASSE, P29.}},
Number-of-Cited-References = {{11}},
Times-Cited = {{69}},
Usage-Count-Last-180-days = {{6}},
Usage-Count-Since-2013 = {{31}},
Journal-ISO = {{J. Hydrol.}},
Doc-Delivery-Number = {{638QV}},
Unique-ID = {{ISI:000180582500010}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000186578600125,
Author = {Saraph, P and Last, M and Kandel, A},
Book-Group-Author = {{IEEE
   IEEE}},
Title = {{Test case generation and reduction by automated input-output analysis}},
Booktitle = {{2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS
   1-5, CONFERENCE PROCEEDINGS}},
Series = {{IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS,
   CONFERENCE PROCEEDINGS}},
Year = {{2003}},
Pages = {{768-773}},
Note = {{IEEE International Conference on Systems, Man and Cybernetics (SMC 03),
   WASHINGTON, D.C., OCT 05-08, 2003}},
Organization = {{IEEE, Syst, Man \& Cybernet Soc}},
Abstract = {{In the software testing process, selecting the test cases and verifying
   their results requires a lot of subjective decisions and human
   intervention. For a program having a large number of inputs, the number
   of corresponding combinatorial black-box test cases is huge.,4 method
   needs to be established in order to limit the number of test cases and
   to choose the most important ones. In this research effort we present a
   novel methodology for identifying important test cases automatically.
   These test cases involve input attributes which contribute to the value
   of an output and hence are significant. The reduction in the number of
   test cases is attributed to identifying input-output relationships. A
   ranked list of features and equivalence classes for input attributes of
   a given code are the main outcomes of this methodology. Reducing the
   number of test cases results directly in the saving of software testing
   resources.}},
Publisher = {{IEEE}},
Address = {{345 E 47TH ST, NEW YORK, NY 10017 USA}},
Type = {{Proceedings Paper}},
Language = {{English}},
Affiliation = {{Saraph, P (Corresponding Author), Univ S Florida, Dept Comp Sci \& Engn, Tampa, FL 33620 USA.
   Univ S Florida, Dept Comp Sci \& Engn, Tampa, FL 33620 USA.}},
ISSN = {{1062-922X}},
ISBN = {{0-7803-7952-7}},
Keywords = {{artificial neural networks; rule-extraction; software testing; test
   cases; input-output analysis; feature ranking}},
Keywords-Plus = {{NEURAL NETWORKS}},
Research-Areas = {{Automation \& Control Systems; Computer Science; Robotics}},
Web-of-Science-Categories  = {{Automation \& Control Systems; Computer Science, Artificial
   Intelligence; Computer Science, Cybernetics; Computer Science,
   Interdisciplinary Applications; Computer Science, Software Engineering;
   Robotics}},
ResearcherID-Numbers = {{LAST, MARK/F-1424-2012
   Last, Mark/AAF-8443-2020}},
ORCID-Numbers = {{LAST, MARK/0000-0003-0748-7918
   }},
Cited-References = {{ANDERSON C, 1995, P ITC 95.
   ANDREWS R, 1996, KNOWLEDGE BASED SYST, V8.
   BAHLER, NEURAL MODELS EXTRAC.
   CRAVEN MW, 1994, P 11 INT C SAN FRAN.
   JOGENSEN C, SOFTWARE TESTING CRA.
   KANER C, 1999, TESTING COMPUTER SOF.
   KOHONEN T, 1988, NEURAL NETWORKS, V1, P3, DOI 10.1016/0893-6080(88)90020-2.
   LAST M, 2003, SOFTWARE ENG COMPUTA.
   MAIMON O, 2000, KNOWLEDGE DISCOVERY.
   Mitchell TM, 1997, MACHINE LEARNING.
   NARAZAKI H, 1996, IEEE T SYSTEMS MAN B, V26.
   {*}NAT I STAND TECHN, 2002, 023 NAT I STAND TECH.
   REED R, 1993, IEEE T NEURAL NETWOR, V4.
   SARAPH P, 2003, THESIS U S FLORIDA.
   SCHROEDER, 2000, P ISSTA 000, P173.
   Setiono R, 1996, ARTIF INTELL MED, V8, P37, DOI 10.1016/0933-3657(95)00019-4.
   Setiono R, 1997, NEURAL COMPUT, V9, P185, DOI 10.1162/neco.1997.9.1.185.
   SETIONO R, IJCAI 95.
   SETIONO R, 1996, IEEE T KNOWLEDGE DAT, V8.
   TOWELL G, 1993, MACH LEARN, V131, P71.
   Vanmali M, 2002, INT J INTELL SYST, V17, P45, DOI 10.1002/int.1002.
   VANMALI M, 2002, USING NEURAL NETWORK.}},
Number-of-Cited-References = {{22}},
Times-Cited = {{7}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Doc-Delivery-Number = {{BX83D}},
Unique-ID = {{ISI:000186578600125}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000183434700032,
Author = {Loerincik, Y and Suh, S and Jolliet, O},
Book-Group-Author = {{IEEE
   IEEE}},
Title = {{Cycle environmental impact of the Internet infrastructure in a
   university}},
Booktitle = {{2003 IEEE INTERNATIONAL SYMPOSIUM ON ELECTRONICS \& THE ENVIRONMENT,
   CONFERENCE RECORD}},
Series = {{IEEE International Symposium on Electronics and the Environment-ISEE}},
Year = {{2003}},
Pages = {{173-176}},
Note = {{11th International Symposium on Electronics and the Environment/4th
   Electronics Recycling Summit, BOSTON, MA, MAY 19-22, 2003}},
Organization = {{IEEE Comp Soc, TCEE; Int Assoc Elect Recyclers}},
Abstract = {{Information and communication technologies (ICTs) are rapidly developing
   and will shape our future society. In understanding the shape of the
   future information era, it is also important to identify the
   environmental aspects of ICTs. However, Life Cycle Assessment (L CA), a
   systematic evaluation tool for products and services, often lacks
   ability to capture services inputs and capitals, which is crucial in
   ICTs. In this study we employed input-output analysis besides
   traditional process LCA to overcome this problem and to identify
   environmental impacts of Internet infrastructure within the Swiss
   Federal Institute of Technology (EPFL). This study aims at detailing the
   Internet infrastructure and evaluates the environmental impact of its
   various components. The methodology developed starts with a first
   screening performed with an Input-Output LCA software (MIET). This has
   been done starting from the detailed expenditures allocated to the
   Internet infrastructure within the Swiss Federal Institute of Technology
   in Switzerland Data from other LCA studies and databases were then
   included using an hybrid approach. It permits to better evaluate
   environmental impacts of complex systems. In particular it enables to
   assess overhead services and infrastructure, which have received less
   attention in traditional LCAs. The results of the first screening show
   that the electricity and the manufacturing of personal computers are
   dominating. But other contributions like maintenance, paper, management
   and computational services in case of computer breakdown have
   significant impacts, showing that an environmental friendly computer is
   also a reliable one. The inclusion of process data on electricity
   consumption, computer manufacturing, computational services and
   particular characteristics of the Institute's energy consumption were
   then combined in a process technology matrix. The results change
   significantly showing that the first screening of the methodology is use
   it to point out what should be more detailed but gives results that
   should be interpret with grate care.}},
Publisher = {{IEEE}},
Address = {{345 E 47TH ST, NEW YORK, NY 10017 USA}},
Type = {{Proceedings Paper}},
Language = {{English}},
Affiliation = {{Loerincik, Y (Corresponding Author), Swiss Fed Inst Technol, Grp Ind Ecol \& Life Cycle Syst, EPFL, CH-1015 Lausanne, Switzerland.
   Swiss Fed Inst Technol, Grp Ind Ecol \& Life Cycle Syst, EPFL, CH-1015 Lausanne, Switzerland.}},
ISSN = {{1095-2020}},
ISBN = {{0-7803-7743-5}},
Keywords = {{information and communication technology; Internet; environmental
   impact; LCA; input-output}},
Research-Areas = {{Engineering}},
Web-of-Science-Categories  = {{Engineering, Environmental; Engineering, Electrical \& Electronic}},
Author-Email = {{yves.loerincik@epfl.ch
   suh@cml.leidenuniv.nl
   olivier.jolliet@epfl.ch}},
ResearcherID-Numbers = {{Suh, Sangwon/E-2019-2011}},
ORCID-Numbers = {{Jolliet, Olivier/0000-0001-6955-4210
   Suh, Sangwon/0000-0001-8290-6276}},
Cited-References = {{{*}ATL CONS, 1998, DRAFT CRIT EU EC PER.
   Suh S, 2002, INT J LIFE CYCLE ASS, V7, P134, DOI 10.1007/BF02994047.
   Suh S., 2000, GEARING INPUT OUTPUT.
   TEKAWA M, 1997, INT S EL ENV.}},
Number-of-Cited-References = {{4}},
Times-Cited = {{5}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{1}},
Doc-Delivery-Number = {{BW87A}},
Unique-ID = {{ISI:000183434700032}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000189196900064,
Author = {Soebagio, A and Marpaung, COP and Miyatake, M},
Book-Group-Author = {{IEEE}},
Title = {{Factors affecting emission changes of considering IPPs in power sector
   planning.}},
Booktitle = {{2003 IEEE PES TRANSMISSION AND DISTRIBUTION CONFERENCE \& EXPOSITION,
   VOLS 1-3, CONFERENCE PROCEEDINGS: BLAZING TRAILS IN ENERGY DELIVERY AND
   SERVICES}},
Year = {{2003}},
Pages = {{365-370}},
Note = {{IEEE PES Transmission and Distribution Conference and Exposition,
   Dallas, TX, SEP 07-12, 2003}},
Organization = {{IEEE Power Engn soc}},
Abstract = {{This paper examines the factors which affect the CO2 emission changes in
   the economy as a whole due to considering independent power producers
   (IPPs) in the Indonesian power sector during 2003-2017 by using an
   input-output decomposition model. From the development of the
   decomposition model, it is found that there are four major components
   that affect the total economy-wide change in CO2 emissions, i.e., fuel
   mix-, structural-, final demand- and joint-effects. The results show
   that if the minimum operating mode of IPPs is increased from 60 to 80\%,
   the CO2 mitigations would increase from 40 to 84 million tons during the
   planning horizon. Of the total CO2 mitigations, the fuel mix- and
   structural-effects would increase the CO2 mitigations, however, the
   final demand-and joint-effect would act in the opposite direction under
   all minimum operating mode cases.}},
Publisher = {{IEEE}},
Address = {{345 E 47TH ST, NEW YORK, NY 10017 USA}},
Type = {{Proceedings Paper}},
Language = {{English}},
DOI = {{10.1109/TDC.2003.1335249}},
ISBN = {{0-7803-8110-6}},
Keywords = {{IPP; operating mode; input-output; CO2 emissions}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; ECONOMY; POLLUTION}},
Research-Areas = {{Energy \& Fuels}},
Web-of-Science-Categories  = {{Energy \& Fuels}},
ResearcherID-Numbers = {{Miyatake, Masafumi/R-5307-2019}},
ORCID-Numbers = {{Miyatake, Masafumi/0000-0002-0565-1836}},
Cited-References = {{{*}BAD PUS STAT, 1999, TAB INP OUTP IND 199.
   CALOGHIROU YD, 1996, ENERGY, V12, P899.
   CHANG YF, 1997, ENERG POLICY, V26, P5.
   CHEN CY, 1994, ENERG ECON, V16, P115, DOI 10.1016/0140-9883(94)90005-1.
   {*}EL GEN AUTH THAIL, 1999, EGAT POW DEV PLAN RE.
   {*}EN INF ADM, 1994, FIN IMP NON POW PURC.
   HAN XL, 1994, ENERGY J, V15, P165.
   {*}INT I EN CONS, 1997, HIGH VAL APL REN EN.
   {*}INT PAN CLIM CHAN, 1995, GREENH GAS INV REP I.
   LEE H, 1995, 9513 HARV U KENN SCH.
   MARPAUNG COP, 2002, P 13 IEEJ ANN C POW, P36.
   Murthy NS, 1997, ENERG ECON, V19, P327, DOI 10.1016/S0140-9883(96)01021-3.
   {*}NEP EL AUTH, 1998, YEAR REV.
   Palmer K, 1997, RESOUR ENERGY ECON, V19, P139, DOI 10.1016/S0928-7655(97)00002-X.
   Proops JLR, 1996, ENERG POLICY, V24, P229, DOI 10.1016/0301-4215(95)00154-9.
   {*}PT PLN PERSERO, 2000, RENC JANGK PANJ TAH.
   ROSE A, 1991, RESOUR ENERG, V13, P1, DOI 10.1016/0165-0572(91)90017-W.}},
Number-of-Cited-References = {{17}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{1}},
Doc-Delivery-Number = {{BY41E}},
Unique-ID = {{ISI:000189196900064}},
DA = {{2020-08-06}},
}

@incollection{ ISI:000280109900006,
Author = {Lamberton, Donald M.},
Editor = {{Braman, S}},
Title = {{National Information Policy}},
Booktitle = {{COMMUNICATION RESEARCHERS AND POLICY-MAKING}},
Series = {{MIT Press Sourcebooks}},
Year = {{2003}},
Pages = {{105-113}},
Abstract = {{National information policy can be viewed as embracing efforts to put
   into practice the basic notion that the social and economic system will
   function more efficiently if improved information-flows to the
   decision-making centers can be ensured. This notion underlies much of
   the effort directed to such seemingly diverse activities as mass
   education, market research, financial analysis, research and development
   (R and D) and social management techniques, such as national income
   accounting and input-output analysis. Each reflects a belief in the
   efficacy of expenditure on better information; in each case a variety of
   problems emerges.}},
Publisher = {{M I T PRESS}},
Address = {{FIVE CAMBRIDGE CENTER, CAMBRIDGE, MA 02142 USA}},
Type = {{Article; Book Chapter}},
Language = {{English}},
ISBN = {{978-0-262-25409-0}},
Keywords-Plus = {{ECONOMICS}},
Research-Areas = {{Communication; Public Administration}},
Web-of-Science-Categories  = {{Communication; Public Administration}},
Cited-References = {{BOULDING KE, 1966, AM ECON REV, V56, P1.
   CIPOLLA CM, 1970, EC DECLINE EMPIRES.
   HIRSHLEIFER J, 1971, AM ECON REV, V61, P561.
   JOHNSTON RD, 1973, 45 C AUSTR NZ ASS AD.
   LAMBERTON DM, 1971, CONS INT BAT RECH ET.
   Machlup F, 1962, PRODUCTION DISTRIBUT.
   MARSCHAK J, 1968, AM ECON REV, V58, P1.
   NELSON P, AM EC REV, V63, P50.
   {*}ORG EC COOP DEV, INF CHANG SOC.
   RAWLS J, 1973, J PHILOS, V70, P245.
   SHACKLE GLS, 1969, DECISION ORDER TIME, pR9.
   {*}TAV I HUM REL, 1964, SOC RES NAT SCI POL.}},
Number-of-Cited-References = {{12}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Doc-Delivery-Number = {{BPV66}},
Unique-ID = {{ISI:000280109900006}},
DA = {{2020-08-06}},
}

@article{ ISI:000183884900022,
Author = {Allan, RJ and Reason, CJC and Lindesay, JA and Ansell, TJ},
Title = {{Protracted' ENSO episodes and their impacts in the Indian Ocean region}},
Journal = {{DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY}},
Year = {{2003}},
Volume = {{50}},
Number = {{12-13}},
Pages = {{2331-2347}},
Abstract = {{Evidence for a quasi-decadal (9-13 yr) signal interacting with the
   quasi-biennial (QB) (2-2.5 yr) and low-frequency (LF) (2.5-8 yr)
   components of the El Ni (n) over tildeo Southern Oscillation (ENSO)
   phenomenon to produce both `protracted' El Ni (n) over tildeo and La Ni
   (n) over tildea episodes is examined using historical patterns of
   climatic variables over the Indian Ocean basin in the global context.
   Across the Indian Ocean basin, seasonal rainfall correlations on LF ENSO
   and quasi-decadal timescales show that the lower frequency signal
   displays `ENSO-like' characteristics. Thus, there is evidence that the
   quasi-decadal signal alone can provide an important modulation of Indian
   Ocean climatic patterns. However, examinations of the Indian Ocean
   situation in the wider global context provide strong evidence that
   `protracted' El Ni (n) over tildeo and La Ni (n) over tildea episodes
   result from interactions between QB, LF and quasi-decadal signals in the
   climate system. The seasonal tropospheric velocity potential
   correlations show that QB, LF and quasi-decadal changes in mass
   overturning and convective regimes are of global extent. These mass
   overturnings are most coherent on LF ENSO timescales, but are also
   clearly evident in seasonal QB and quasi-decadal signal sequences. The
   situation in October-December (OND) also suggests that a propensity
   exists in the climate system for drought or flooding extremes to occur
   over central-eastern Africa to central Asia on QB to decadal timescales,
   and that this may be particularly manifest during `protracted' El Ni (n)
   over tildeo and La Ni (n) over tildea episodes.
   An investigation of individual `protracted' El Ni (n) over tildeo and La
   Ni (n) over tildea episodes reveals that the magnitude and phasing of
   the QB, LF and quasi-decadal signals can lead to periods during
   `protracted' El Ni (n) over tildeo (La Ni (n) over tildea) episodes,
   which start to take on `La Ni (n) over tildea-like' ('El Ni (n) over
   tildeo-like') characteristics, before reverting back again. This phasing
   nature involves opposing combinations of the above signals, especially
   on QB and LF ENSO timescales. Ultimately, it can lead to modulations of
   climatic variables that are different from those usually observed over
   `classical' ENSO-sensitive regions. Such characteristics may have major
   consequences for global teleconnection patterns, and thus have the
   potential to impact on both regional and remote climatic signatures.
   Crown Copyright (C) 2003 Published by Elsevier Science Ltd. All rights
   reserved.}},
Publisher = {{PERGAMON-ELSEVIER SCIENCE LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Allan, RJ (Corresponding Author), Hadley Ctr Climate Predict \& Res, Met Off, Bracknell RG12 2SY, Berks, England.
   Hadley Ctr Climate Predict \& Res, Met Off, Bracknell RG12 2SY, Berks, England.
   Univ Cape Town, EGS Dept, ZA-7701 Rondebosch, South Africa.
   Univ Cape Town, Dept Oceanog, ZA-7701 Rondebosch, South Africa.
   CRC Greenhouse Accounting, Canberra, ACT 2601, Australia.
   Univ Melbourne, Sch Earth Sci, Parkville, Vic 3052, Australia.}},
DOI = {{10.1016/S0967-0645(03)00059-6}},
ISSN = {{0967-0645}},
Keywords-Plus = {{SEA-LEVEL PRESSURE; EL-NINO; DECADAL VARIABILITY; CLIMATE VARIABILITY;
   TIME-SERIES; LA-NINA; PRECIPITATION; COMPOSITE; PATTERNS; 20TH-CENTURY}},
Research-Areas = {{Oceanography}},
Web-of-Science-Categories  = {{Oceanography}},
Cited-References = {{Allan R, 1996, EL NINO SO OSCILLATI.
   Allan RJ, 1999, HOLOCENE, V9, P101, DOI 10.1191/095968399669125102.
   ALLAN RJ, 1995, J CLIMATE, V8, P1853, DOI 10.1175/1520-0442(1995)008<1853:MVITCS>2.0.CO;2.
   ALLAN RJ, 2000, EL NINO SO OSCILLATI, pCH1.
   Barlow M, 2001, J CLIMATE, V14, P2105, DOI 10.1175/1520-0442(2001)014<2105:EPDVAU>2.0.CO;2.
   Barlow M, 2002, J CLIMATE, V15, P697, DOI 10.1175/1520-0442(2002)015\<0697:DICASA\>2.0.CO;2.
   Basnett T. A., 1997, CRTN79 HADL CTR MET.
   Folland CK, 2002, CLIVAR EXCHANGES, V7, P37.
   Gershunov A, 1998, B AM METEOROL SOC, V79, P2715, DOI 10.1175/1520-0477(1998)079<2715:IMOET>2.0.CO;2.
   Harrison DE, 1996, J CLIMATE, V9, P3025, DOI 10.1175/1520-0442(1996)009<3025:TCSLPS>2.0.CO;2.
   HULME M, 1992, CLIM DYNAM, V7, P57, DOI 10.1007/BF00209609.
   Jones PD, 2001, J GEOPHYS RES-ATMOS, V106, P3371, DOI 10.1029/2000JD900564.
   Kaplan A, 2000, J CLIMATE, V13, P2987, DOI 10.1175/1520-0442(2000)013<2987:RSOIOH>2.0.CO;2.
   Kaplan A, 1997, J GEOPHYS RES-OCEANS, V102, P27835, DOI 10.1029/97JC01734.
   Larkin NK, 2002, J CLIMATE, V15, P1118, DOI 10.1175/1520-0442(2002)015<1118:EWENOA>2.0.CO;2.
   Larkin NK, 2001, J CLIMATE, V14, P3904, DOI 10.1175/1520-0442(2001)014<3904:TPECES>2.0.CO;2.
   Latif M, 1997, J CLIMATE, V10, P2221, DOI 10.1175/1520-0442(1997)010<2221:GWDVOE>2.0.CO;2.
   LATIF M, 1995, 175 M PLANCK I MET.
   Mann ME, 1999, ADV GEOPHYS, V41, P1, DOI 10.1016/S0065-2687(08)60026-6.
   NAVARRA A, 1999, EL NINO DECADEL INTE.
   Parker D. E., 1995, CRTN63 HADL CTR MET.
   Power S, 1999, INT J CLIMATOL, V19, P169, DOI 10.1002/(SICI)1097-0088(199902)19:2\<169::AID-JOC356\>3.0.CO;2-Y.
   Power S, 1999, CLIM DYNAM, V15, P319, DOI 10.1007/s003820050284.
   RAYNER NA, 1996, CRTN74 HADL CTR MET.
   Reason CJC, 2000, TELLUS A, V52, P203, DOI 10.1034/j.1600-0870.2000.00978.x.
   Reason CJC, 1999, INT J CLIMATOL, V19, P1651, DOI 10.1002/(SICI)1097-0088(199912)19:15\<1651::AID-JOC439\>3.0.CO;2-U.
   Reason CJC, 2000, INT J CLIMATOL, V20, P1285, DOI 10.1002/1097-0088(200009)20:11<1285::AID-JOC536>3.3.CO;2-I.
   REASON CJC, 2002, GEOPHYSICAL RES LETT, V29.
   TAPP RG, 1984, J CLIMATOL, V4, P411, DOI 10.1002/joc.3370040406.
   Tourre YM, 2001, GEOPHYS RES LETT, V28, P2069, DOI 10.1029/2000GL012780.
   WALKER ND, 1990, J GEOPHYS RES-OCEANS, V95, P3297, DOI 10.1029/JC095iC03p03297.}},
Number-of-Cited-References = {{31}},
Times-Cited = {{77}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{6}},
Journal-ISO = {{Deep-Sea Res. Part II-Top. Stud. Oceanogr.}},
Doc-Delivery-Number = {{696JY}},
Unique-ID = {{ISI:000183884900022}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000189423500010,
Author = {Prokofieva, I and Toropainen, M and Vatanen, E},
Editor = {{Niskanen, A and Filioushkina, G and Saramaki, K}},
Title = {{The feasibility of input-output analysis in the Novgorod region}},
Booktitle = {{ECONOMIC ACCESSIBILITY OF FOREST RESOURCES IN NORTH-WEST RUSSIA}},
Series = {{EUROPEAN FOREST INSTITUTE PROCEEDINGS}},
Year = {{2003}},
Number = {{48}},
Pages = {{93-107}},
Note = {{Seminar on Economic Accessibility of Forest Resources in North-West
   Russia, St Petersburg State Forest Tech Acad, St Petersburg, RUSSIA, DEC
   04-05, 2002}},
Organization = {{Euopean Forest Inst; EFI Reg Project Ctr, Proces}},
Abstract = {{In this paper, the economy of the Novgorod Region is described, with
   particular reference to the economic importance of the forest sector.
   Next, the background of input-output analysis and the basic economic
   relations in it are discussed. The lack of suitable and reliable
   statistical data is the main obstacle to compiling regional input-output
   tables, and therefore, an alternative method for the assessment of
   effects of forest sector is proposed. This method is based on previously
   collected information both about the input-output analysis of the whole
   country and about analogous information from foreign studies. The
   structures of the forest sector in Russia and Finland are compared.
   Additionally, the regional input-output data of one region in Finland
   (North-Karelia) is analysed. It is concluded that this kind of method is
   useful, under the condition that it is possible to gather complementary
   plausible data of the forest sector in the Novgorod Region. It can be
   presumed that the results reached by this method are similar to those
   estimated by other more laborious and expensive regional input-output
   analyses.}},
Publisher = {{EUROPEAN FOREST INSTITUTE}},
Address = {{TORIKATU 34, FIN-80100 JOENSUU, FINLAND}},
Type = {{Proceedings Paper}},
Language = {{English}},
ISSN = {{1237-8801}},
ISBN = {{952-9844-98-0}},
Keywords = {{input-output analysis; regional economy; forest sector; Novgorod; Russia}},
Research-Areas = {{Forestry}},
Web-of-Science-Categories  = {{Forestry}},
ResearcherID-Numbers = {{Prokofieva, Irina/G-7665-2014}},
ORCID-Numbers = {{Prokofieva, Irina/0000-0002-9391-7197}},
Cited-References = {{HEIMLER A, 1991, REV ECON STAT, V73, P261, DOI 10.2307/2109516.
   JENSEN RC, 1979, REGIONAL EC PLANNING.
   LIOUBIMOV A, 2002, UNPUB FOREST RESOURC.
   Milana C., 1985, METROECONOMICA, V37, P283.
   Miller R.E., 1985, INPUT OUTPUT ANAL FD.
   NOKKALA M, 1999, PUBLICATION U HELSIN, V23.
   {*}NOVG REG STAT STA, 2001, SOC SIT NOVG REG.
   {*}NOVG REG STAT STA, 2001, IND NOVG REG.
   PIISPALA J, 2000, REGIONALISING INPUT.
   {*}STAT COMM RUSS FE, 2001, NAT ACC RUSS FED 199.
   {*}STAT COMM RUSS FE, 2002, SYST INP OUTP TABL R.
   {*}STAT FINL, 2002, FINN INT INP OUTP ST.
   SZYRMER J, 1992, ENVIRON PLANN A, P921.
   VATANEN E, 1997, METSANTUTKIMUSLAITOK, P663.
   VATANEN E, 2001, METSANTUTKIMUSLAITOK, P825.
   YEGOROV I, 2002, OVERVIEW NOVGOROD RE.}},
Number-of-Cited-References = {{16}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Doc-Delivery-Number = {{BY62G}},
Unique-ID = {{ISI:000189423500010}},
DA = {{2020-08-06}},
}

@article{ ISI:000183966800003,
Author = {Husar, J},
Title = {{Economic policy making and macroeconomic relationships of inflation}},
Journal = {{EKONOMICKY CASOPIS}},
Year = {{2003}},
Volume = {{51}},
Number = {{4}},
Pages = {{409-421}},
Abstract = {{In this article we focus on inflation. The level of inflation in
   Slovakia could potentially complicate efforts to meet Maastricht
   criterion. The low GDP per capita requires high economic growth.
   Therefore the article begins with a discussion of the nature of
   inflation - a general increase in price level. The theory has agreed
   upon that changes in both aggregate supply and aggregate demand are the
   sources of inflation. Looking at the known model of aggregate supply and
   demand (Fig. 1), one can see how an increase in demand can raise the
   price level. The rise in the price level is caused by the outward shift
   of aggregate demand along the rising portion of the aggregate supply
   schedule. Then we discuss how a rise in the price level can be caused by
   the contraction in aggregate supply or supply shock. In other words, the
   worsening of aggregate supply conditions raises the price level with no
   change in aggregate demand conditions (Fig. 1). Our analysis suggests an
   important difference between inflation driven by increases in demand and
   inflation driven by reductions in supply. lit the case of aggregate
   supply shifts, output falls as price rise. lit the case of aggregate
   demand shifts. there is an increase in output as prices rise. lit the
   analysis we stressed that this latter case suggests the existence of an
   important trade-off. Increases in aggregate demand will induce higher
   level of output, but at the cost of higher prices. There will be an
   inflation. By this analysis we have Shown the possible problems of the
   Slovak economy in the field of inflation. The economic policy has not
   been based on the theory.
   Our next analysis concentrates on the wages. prices and productivity. An
   economic policy in Slovakia has allowed an increase of general price
   level of goods and services but wages were constant. We tried to develop
   a relationship in movements of wages, inflation and productivity. Our
   aim was to deduce the basic wage- price - productivity relationship. We
   derived it from the version of the labor market equilibrium condition W
   = P.f(N). Using mathematical techniques we have come to an important
   conclusion. If W grows at the same rate so that (W) over dot = (f) over
   dot (N), (P) over dot will be 0, that is the equilibrium price level
   will remain unchanged. This is an important knowledge, rule for wage
   increases, saying that the wage rate can grow as fast as productivity
   with no change in equilibrium price level.
   Inflation trends in Slovak economy were driven by changes in
   administered prices for such items as energy, water and rent. These
   prices were raised significantly in recent years (to bring them closer
   to market prices). The impact on the economy was never published. lit
   this connection (inflation an its dissemination) the input-output
   analysis provides perhaps the most complete examination of all the
   complex interrelations within an economic system. Due to the fact. that
   input-output analysis traces through all these interindustry relations
   to provide information about total impact on the prices of all
   industries of the original increase in price indices or a components of
   the value added, we showed on example the possible computations of
   repercussions on the economy in the field of inflation. This helps
   policy makers to create the economic policy that can help to economic
   system functioning.}},
Publisher = {{SLOVAK ACADEMIC PRESS LTD}},
Address = {{PO BOX 57 NAM SLOBODY 6, 810 05 BRATISLAVA, SLOVAKIA}},
Type = {{Article}},
Language = {{Slovak}},
Affiliation = {{Husar, J (Corresponding Author), Ekon Univ Bratislave, Fak Hospodarskej Informat, Katedra Operacneho Vyskumu \& Ekonometrie, Dolnozemska Cesta 1-B, Bratislava 85235 5, Slovakia.
   Ekon Univ Bratislave, Fak Hospodarskej Informat, Katedra Operacneho Vyskumu \& Ekonometrie, Bratislava 85235 5, Slovakia.}},
ISSN = {{0013-3035}},
Research-Areas = {{Business \& Economics}},
Web-of-Science-Categories  = {{Economics}},
Author-Email = {{husar@euba.sk}},
Cited-References = {{Acocella N., 1998, FDN EC POLICY.
   Baumol William J., 1994, EC PRINCIPLES POLICY.
   BOUSKA J, 1996, MEZIODVETVOVA ANAL.
   BRABER MC, 1991, POLICY SIMALATION PR.
   HUSAR J, 2001, INPUT OUTPUT ANAL SY.
   HUSAR J, 1998, MAKROEKONOMIA.
   HUSAR J, 2003, APLIKOVANA MAKROEKON.
   HUSAR J, 1999, APLIKOVANA EKONOMETR.
   MISHKIN FS, 1992, EC MONEY BANKING FIN.
   SACHS JD, 1993, MACROECONOMICS GLOBA.}},
Number-of-Cited-References = {{10}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{4}},
Journal-ISO = {{Ekon. Cas.}},
Doc-Delivery-Number = {{697WT}},
Unique-ID = {{ISI:000183966800003}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000185208000288,
Author = {Nansai, K and Moriguchi, Y and Tohno, S},
Editor = {{Gale, J and Kaya, Y}},
Title = {{Development of database on Japanese sectoral energy consumption, CO2 and
   air pollutant emissions intensities based on the input-output tables}},
Booktitle = {{GREENHOUSE GAS CONTROL TECHNOLOGIES, VOLS I AND II, PROCEEDINGS}},
Year = {{2003}},
Pages = {{1745-1748}},
Note = {{6th International Conference on Greenhouse Gas Control Technologies,
   KYOTO, JAPAN, OCT 01-04, 2002}},
Organization = {{IEA Greenhouse Gas Programme; RITE; JSER}},
Abstract = {{This study produced a database on Japanese embodied emission intensities
   of NO., SO, and suspended particulate matter (SPM) responsible for
   regional environmental issues outside of energy consumption and CO2
   emissions using the Input-Output tables in 1990 and 1995. Consumptions
   of about 20 fossil fuels and 5 other fuels were estimated according to
   approximately 400 sectors. Air pollutant emission factors for stationary
   sources were calculated from the results of a survey on air pollution
   prevention in Japan. Pollutant emissions from mobile sources were
   estimated taking into consideration vehicle types, traveling speed and
   distance. As a result, the total energy consumptions in 1990 and 1995
   were estimated to be 16.6 GJ and 18.3 GJ, respectively, and calculation
   of CO2 emission resulted in 1.15 Gt-CO2 in 1990 and 1.26 Gt-CO2 in 1995.
   Similarly, increment of air pollutant emissions from 1990 to 1995 was
   demonstrated quantitatively NO, emission increased from 3.37 Mt to 3.51
   Mt, SOx, emissions in 1990 and 1995 showed almost same values of 1.87
   Mt. As for SPM emission, its amount changed from 0.30 Mt to 0.32 Mt. All
   data on embodied intensities calculated by application of input-output
   analysis was compiled into the data book.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Proceedings Paper}},
Language = {{English}},
Affiliation = {{Nansai, K (Corresponding Author), Natl Inst Environm Studies, 16-2 Onogawa, Tsukuba, Ibaraki 3058506, Japan.
   Natl Inst Environm Studies, Tsukuba, Ibaraki 3058506, Japan.}},
ISBN = {{0-08-044276-5}},
Keywords-Plus = {{SERVICES; GOODS}},
Research-Areas = {{Geochemistry \& Geophysics; Energy \& Fuels; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Geochemistry \& Geophysics; Energy \& Fuels; Engineering, Environmental;
   Environmental Sciences}},
ResearcherID-Numbers = {{Nansai, Keisuke/C-2516-2008}},
Cited-References = {{BULLARD CW, 1975, ENERG POLICY, V3, P268, DOI 10.1016/0301-4215(75)90035-X.
   MORIGUCHI Y, 1993, IND ENV, V16, P42.
   NANSAI K, 2002, EMBODIED ENERGY EMIS.
   WRIGHT DJ, 1974, ENERG POLICY, V2, P307, DOI 10.1016/0301-4215(74)90017-2.}},
Number-of-Cited-References = {{4}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{1}},
Doc-Delivery-Number = {{BX41P}},
Unique-ID = {{ISI:000185208000288}},
DA = {{2020-08-06}},
}

@article{ ISI:000180728200002,
Author = {Sheridan, SC},
Title = {{North American weather-type frequency and teleconnection indices}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2003}},
Volume = {{23}},
Number = {{1}},
Pages = {{27-45}},
Month = {{JAN}},
Abstract = {{The impact of teleconnections upon the surface climate has largely been
   examined via a response in monthly mean temperature or total
   precipitation. In this paper, a different approach is undertaken, by
   examining the response of synoptic weather-type frequencies to different
   teleconnection phases.
   For over 330 stations in the USA and Canada, the Spatial Synoptic
   Classification scheme has classified each day in each station's period
   of record into one of seven weather-type categories, based on thermal,
   moisture, and other characteristics. The differences in how frequently
   these different weather types occur in different phases of the North
   Atlantic Oscillation (NAO) and Pacific-North American (PNA)
   teleconnection patterns is assessed, for Canadian stations from 1953 to
   1993, and for US stations from 1950 to 1999.
   For PNA, a significant shift in the transitional frequency is observed,
   suggesting changes in storm track. Concomitantly, a large shift in Dry
   Polar and Moist Tropical frequencies is observed across the continent.
   Across the West, in +PNA wintertime months far fewer Dry Polar days are
   observed. Across the eastern USA, these polar intrusions are more
   common, and Moist Tropical is diminished significantly.
   The frequency of the transitional situation is also correlated with NAO
   phase, with differences as large as a factor of two across much of
   Canada and the northern USA. In northeastern Canada, there is a large
   replacement of Moist Polar conditions with Dry Polar conditions during
   +NAO. Farther south, however, across the eastern USA, both polar weather
   types occur much less often with +NAO. Although previous research has
   discovered eastern North American connections to the NAO, this research
   has shown that the connections often extend into the interior West
   during much of the year. Particularly strong in the spring, Dry Tropical
   conditions are much more common with +NAO throughout much of the
   continent, as far west as the Great Basin. Copyright (C) 2003 Royal
   Meteorological Society.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Sheridan, SC (Corresponding Author), Kent State Univ, Dept Geog, Kent, OH 44242 USA.
   Kent State Univ, Dept Geog, Kent, OH 44242 USA.}},
DOI = {{10.1002/joc.863}},
ISSN = {{0899-8418}},
EISSN = {{1097-0088}},
Keywords = {{teleconnections; synoptic climatology; North America; Pacific-North
   American; North Atlantic Oscillation}},
Keywords-Plus = {{UNITED-STATES; ATLANTIC OSCILLATION; REGIONAL TEMPERATURE; FLORIDA
   CITRUS; PRECIPITATION; CIRCULATION; CLIMATE; VARIABILITY;
   CLASSIFICATION; PATTERNS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{ssherid1@kent.edu}},
Cited-References = {{BARNSTON AG, 1987, MON WEATHER REV, V115, P1083, DOI 10.1175/1520-0493(1987)115<1083:CSAPOL>2.0.CO;2.
   Burroughs W.J., 1992, WEATHER CYCLES REAL.
   Chen TC, 1996, B AM METEOROL SOC, V77, P1197, DOI 10.1175/1520-0477(1996)077<1197:IVIUPC>2.0.CO;2.
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   DICKSON RR, 1976, MON WEATHER REV, V104, P1255, DOI 10.1175/1520-0493(1976)104<1255:NAIOTC>2.0.CO;2.
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   FRAEDRICH K, 1990, INT J CLIMATOL, V10, P21, DOI 10.1002/joc.3370100104.
   Frakes B, 1997, INT J CLIMATOL, V17, P1381.
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   Kalkstein LS, 1998, INT J CLIMATOL, V18, P1223, DOI 10.1002/(SICI)1097-0088(199809)18:11<1223::AID-JOC310>3.0.CO;2-1.
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   Ott R.L., 1993, INTRO STAT METHODS D.
   PALECKI MA, 1993, GEOPHYS RES LETT, V20, P819, DOI 10.1029/93GL00509.
   ROGERS JC, 1984, MON WEATHER REV, V112, P1999, DOI 10.1175/1520-0493(1984)112<1999:TABTNA>2.0.CO;2.
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   SCHONHER T, 1989, J CLIMATE, V2, P1258, DOI 10.1175/1520-0442(1989)002<1258:TRBCRA>2.0.CO;2.
   SCHWARTZ MD, 1991, PROF GEOGR, V43, P77, DOI 10.1111/j.0033-0124.1991.00077.x.
   Sheridan SC, 2002, INT J CLIMATOL, V22, P51, DOI 10.1002/joc.709.
   SKEETER BR, 1985, PHYS GEOGR, V6, P69, DOI 10.1080/02723646.1985.10642264.
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   YIN ZY, 1994, INT J CLIMATOL, V14, P947, DOI 10.1002/joc.3370140902.}},
Number-of-Cited-References = {{30}},
Times-Cited = {{69}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{18}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{641DB}},
Unique-ID = {{ISI:000180728200002}},
DA = {{2020-08-06}},
}

@article{ ISI:000180200200013,
Author = {Hu, Q},
Title = {{A multidecadal variation in summer season diurnal rainfall in the
   central United States}},
Journal = {{JOURNAL OF CLIMATE}},
Year = {{2003}},
Volume = {{16}},
Number = {{1}},
Pages = {{174-178}},
Month = {{JAN}},
Abstract = {{Recent studies have identified two sources alternating their dominant
   roles in the interannual summer rainfall variations in the central
   United States. One is the ENSO cycle in the tropical Pacific, and the
   other is the interannual variability in the intensity of the southerly
   flow from the Gulf of Mexico. The ENSO cycle affected the rainfall
   variation through an atmospheric teleconnection, which was particularly
   strong in 1871-1916 and 1948-78. When the teleconnection weakened in
   1917-47 and 1979-2002, the southerly flow from the Gulf of Mexico
   invigorated its effect on the interannual rainfall variation. Because
   the effect of the two sources could result in different rainfall
   processes in the central United States, their alternation should have
   built similar variation into the region's summer season diurnal rainfall
   pattern.
   An hourly rainfall dataset was used to examine this hypothesis. Results
   showed a multidecadal variation in the diurnal rainfall pattern. In the
   decades when the southerly flow dominated the rainfall variation, the
   diurnal pattern had large rainfall in late night/morning hours with a
   sharp rainfall peak in the midnight hour. In the decades when the
   southerly flow effect weakened, a different diurnal pattern emerged,
   with small late night/morning hour rainfall and a broad plateau of
   rainfall in the late night/early morning hours. This diurnal pattern
   change was happening simultaneously with variations of the southerly
   moisture flux and moisture convergence in the central United States.
   These coherent variations show that the summer season diurnal rainfall
   pattern varied at a multidecadal scale consistent with the alternation
   frequency of the two sources. In addition to showing the variation in
   the diurnal rainfall pattern, results of this study provide the
   knowledge for understanding the climate of extreme events, particularly
   heavy rainfall and floods, in the central United States.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Hu, Q (Corresponding Author), Univ Nebraska, Sch Nat Resources, Climate \& Bioatmospher Sci Grp, 237 LW Chase Hall, Lincoln, NE 68583 USA.
   Univ Nebraska, Sch Nat Resources, Climate \& Bioatmospher Sci Grp, Lincoln, NE 68583 USA.}},
DOI = {{10.1175/1520-0442(2003)016<0174:AMVISS>2.0.CO;2}},
ISSN = {{0894-8755}},
Keywords-Plus = {{PRECIPITATION}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Cited-References = {{BONNER WD, 1970, MON WEATHER REV, V98, P735, DOI 10.1175/1520-0493(1970)098<0735:DVIBLW>2.3.CO;2.
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Number-of-Cited-References = {{12}},
Times-Cited = {{15}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Journal-ISO = {{J. Clim.}},
Doc-Delivery-Number = {{632AF}},
Unique-ID = {{ISI:000180200200013}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000183656400003,
Author = {Hastenrath, S and Polzin, D},
Title = {{Circulation mechanisms of climate anomalies in the equatorial Indian
   Ocean}},
Journal = {{METEOROLOGISCHE ZEITSCHRIFT}},
Year = {{2003}},
Volume = {{12}},
Number = {{2}},
Pages = {{81-93}},
Abstract = {{The circulation mechanisms of climatic anomalies in the equatorial
   Indian Ocean are diagnosed from long-term surface and upper-air data for
   the October-November core of the East African ``Short Rains{''} and
   season of zonal circulation cell along the Indian Ocean Equator.
   Climatic variability is dominated by variations in the intensity of the
   zonal circulation cell, manifested in subsidence in the West, ascending
   motion in the East, divergent westward flow in the upper troposphere,
   and equatorial surface westerlies (UEQ). The UEQ requires steep zonal
   pressure gradient, with low pressure in the East. Disastrous floods in
   East Africa and drought in Indonesia occur in years with weak
   development of the zonal circulation cell, characterized by high surface
   pressure anomaly in the East, which is common but not limited to the low
   phase of the Southern Oscillation (SO). A deficient Indian summer
   monsoon, common in the low SO phase, leaves behind an anomalously warm
   western Indian Ocean. With high pressure anomaly in the East during the
   months preceding October-November the Indonesian waters tend to be
   anomalously cold. Accordingly, with weak zonal circulation cell and in
   the low SO phase, the westward gradient of sea surface temperature in
   the equatorial Indian Ocean tends to be reduced. Weak equatorial zonal
   circulation in October-November is preceded by flow departures of same
   sense in the near-equatorial atmosphere evolving since boreal summer,
   and this is evidenced in the 1958-97 record as a whole, as well as for
   the individual extreme years 1961, 1994 and 1997. Peculiar to the 1961
   extreme event is that it was preceded by an extremely good Indian summer
   monsoon yet anomalously warm waters in the West of the basin, and that
   the functionally important surface high pressure anomaly in the East did
   not coincide with the low SO phase.}},
Publisher = {{E SCHWEIZERBARTSCHE VERLAGSBUCHHANDLUNG}},
Address = {{NAEGELE U OBERMILLER, SCIENCE PUBLISHERS, JOHANNESSTRASSE 3A, D 70176
   STUTTGART, GERMANY}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Hastenrath, S (Corresponding Author), Univ Wisconsin, Dept Atmospher \& Ocean Sci, Madison, WI 53706 USA.
   Univ Wisconsin, Dept Atmospher \& Ocean Sci, Madison, WI 53706 USA.}},
DOI = {{10.1127/0941-2948/2003/0012-0081}},
ISSN = {{0941-2948}},
EISSN = {{1610-1227}},
Keywords-Plus = {{SEA-SURFACE TEMPERATURE; SUMMER MONSOON RAINFALL; EAST-WEST
   CIRCULATIONS; SEASONAL RAINFALL; SHORT RAINS; AFRICA; TELECONNECTION;
   REANALYSIS; PREDICTION; DYNAMICS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{slhasten@facstaff.wisc.edu}},
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Number-of-Cited-References = {{44}},
Times-Cited = {{18}},
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@article{ ISI:000184832000005,
Author = {Paeth, H and Hense, A},
Title = {{Seasonal forecast of sub-sahelian rainfall using cross validated model
   output statistics}},
Journal = {{METEOROLOGISCHE ZEITSCHRIFT}},
Year = {{2003}},
Volume = {{12}},
Number = {{3}},
Pages = {{157-173}},
Abstract = {{Rainfall over sub-Saharan West Africa is subject to large interannual
   variations, strongly affecting agricultural planning. This study deals
   with the predictability of interannual rainfall anomalies during the
   rainy season (June-September) over sub-Sahelian West Africa. First,
   regional and global near-surface predictors for sub-Sahelian
   precipitation are derived from multi-model ensemble output. Second, a
   cross validated stepwise multiple regression model is developed,
   choosing physically motivated predictors. This statistical model is used
   as Model Output Statistics system (MOS) in order to forecast the rainy
   season. The forecast skill of the MOS system is found to be small but
   significantly larger than zero. A low-cost method for operational
   seasonal forecast is proposed. Sub-Saharan rainy seasonal precipitation
   (RSP) is closely connected with tropical Atlantic sea surface
   temperature (SST). However, there is also a significant teleconnection
   to El Nino and La Nina events in the eastern equatorial Pacific. In
   addition, RSP reveals a strong negative correlation with sea level
   pressure (SLP) over the tropical Atlantic and the West African
   subcontinent, indicating the West African monsoonal strength. Positive
   correlation occurs with the East Pacific SLP field, which is linked to
   the SST anomalies underneath and indicative of the coupled
   ocean-atmosphere El Nino-Southern Oscillation (ENSO) mode. The impact of
   extratropical variability or the Indian summer monsoon dynamics is minor
   with respect to West African rainfall. Applying stepwise multiple
   regression to simulated RSP, it is shown that the most (physically)
   relevant predictors in terms of SST and SLP are found in the Atlantic
   sector, accounting for 46\% of interannual variations if the method is
   based on a multi-model ensemble. The most important predictors for
   observed precipitation are represented by the SLP variables, regional
   mean and gradient, rather than the simulated rainfall itself. Compared
   with the null-hypothesis based on randomized predictor chronology, the
   multi-model predictability is statistically significant. The validation
   reveals a significant forecast skill, especially with respect to small
   rainfall anomalies. Given the distinct autocorrelation of tropical SST,
   this study holds the prospect of operational seasonal forecast over a
   broad sub-Sahelian region with low-cost methods.}},
Publisher = {{GEBRUDER BORNTRAEGER}},
Address = {{JOHANNESSTR 3A, D-70176 STUTTGART, GERMANY}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Paeth, H (Corresponding Author), Univ Bonn, Inst Meteorol, Hugel 20, D-53121 Bonn, Germany.
   Univ Bonn, Inst Meteorol, D-53121 Bonn, Germany.}},
DOI = {{10.1127/0941-2948/2003/0012-0157}},
ISSN = {{0941-2948}},
Keywords-Plus = {{SEA-SURFACE TEMPERATURE; TROPICAL ATLANTIC SECTOR; WEST-AFRICA; EL-NINO;
   CLIMATE VARIABILITY; INTERANNUAL VARIABILITY; SOIL-MOISTURE; LA-NINA;
   PRECIPITATION; VEGETATION}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
ORCID-Numbers = {{Hense, Andreas/0000-0002-9251-146X}},
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Number-of-Cited-References = {{59}},
Times-Cited = {{19}},
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Journal-ISO = {{Meteorol. Z.}},
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Unique-ID = {{ISI:000184832000005}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000186471800031,
Author = {Marpaung, COP and Soebagio, A and Miyatake, M and Yu, DC},
Editor = {{Smedley, KM}},
Title = {{Economy wide CO2 implications of considering IPPs in the Indonesian
   power sector: An input-output analysis}},
Booktitle = {{POWER AND

path: /data/wos_io/savedrecs (13).bib

filename: savedrecs (13).bib