text:
Pap. Reg. Sci.}},
Doc-Delivery-Number = {{552FQ}},
Unique-ID = {{ISI:000175609100005}},
DA = {{2020-08-06}},
}

@article{ ISI:000175327800002,
Author = {Feldstein, SB},
Title = {{Fundamental mechanisms of the growth and decay of the PNA teleconnection
   pattern}},
Journal = {{QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY}},
Year = {{2002}},
Volume = {{128}},
Number = {{581, A}},
Pages = {{775-796}},
Month = {{APR}},
Abstract = {{This investigation performs diagnostic analyses on NCEP/NCAR re-analysis
   data. and also does forced. nonlinear. barotropic model calculations to
   examine the dynamical mechanism,, associated with the growth and decay
   of the Pacific/North American teleconnection pattern (PNA). The
   diagnostic calculations include projection and composite analyses of
   each term in the stream-function-tendency equation.
   The results of the diagnostic analyses and model calculations repeal a
   PNA life cycle that is complete within approximately 2 weeks and is
   dominated by linear processes, The growth of the two upstream PNA
   anomaly centres is found to be by barotropic conversion from the zonally
   asymmetric climatological flow, and the two downstream PNA anomaly
   centre,, by linear dispersion. The PNA anomaly growth eventually ceases
   because of changes in the spatial structure of the anomaly, An analysis
   of the role of Ekman pumping is performed with a very simple model. The
   result,;, although qualitative, suggest that the decay of the PNA may be
   through Ekman pumping. An examination of the role of transient eddy
   vorticity fluxes indicates that they play an important role during some
   stages of the PNA life cycle. Lastly. the model calculations also reveal
   a crucial role played by the divergence term in maintaining the PNA
   anomaly in a quasi-fixed position.}},
Publisher = {{ROYAL METEOROLOGICAL SOC}},
Address = {{104 OXFORD ROAD, READING RG1 7LJ, BERKS, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Feldstein, SB (Corresponding Author), Penn State Univ, EMS Environm Inst, Univ Pk, University Pk, PA 16802 USA.
   Penn State Univ, EMS Environm Inst, University Pk, PA 16802 USA.}},
DOI = {{10.1256/0035900021643683}},
ISSN = {{0035-9009}},
Keywords = {{low-frequency variability; teleconnection patterns}},
Keywords-Plus = {{NORTHERN HEMISPHERE WINTER; LOW-FREQUENCY VARIABILITY; ROSSBY-WAVE
   DYNAMICS; ZONAL MEAN FLOW; STATIONARY WAVES; PACIFIC-OCEAN; STORM
   TRACKS; HEIGHT FIELD; ANOMALIES; GCM}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Cited-References = {{BARNSTON AG, 1987, MON WEATHER REV, V115, P1083, DOI 10.1175/1520-0493(1987)115<1083:CSAPOL>2.0.CO;2.
   BLACK RX, 1993, J ATMOS SCI, V50, P421, DOI 10.1175/1520-0469(1993)050<0421:TDOLSC>2.0.CO;2.
   Blade I, 1996, J ATMOS SCI, V53, P2393, DOI 10.1175/1520-0469(1996)053<2393:OTROBS>2.0.CO;2.
   BORGES MD, 1995, J ATMOS SCI, V52, P3779, DOI 10.1175/1520-0469(1995)052<3779:BRWDOZ>2.0.CO;2.
   BRANSTATOR G, 1992, J ATMOS SCI, V49, P1924, DOI 10.1175/1520-0469(1992)049<1924:TMOLFA>2.0.CO;2.
   BRANSTATOR G, 1984, J ATMOS SCI, V41, P2163, DOI 10.1175/1520-0469(1984)041<2163:TRBZMF>2.0.CO;2.
   BRANSTATOR G, 1990, J ATMOS SCI, V47, P629, DOI 10.1175/1520-0469(1990)047<0629:LFPIBS>2.0.CO;2.
   BRANSTATOR G, 1987, J ATMOS SCI, V44, P2310, DOI 10.1175/1520-0469(1987)044<2310:ASEOTA>2.0.CO;2.
   CAI M, 1994, J ATMOS SCI, V51, P2086, DOI 10.1175/1520-0469(1994)051<2086:DDOLFT>2.0.CO;2.
   Cash BA, 2000, J ATMOS SCI, V57, P3202, DOI 10.1175/1520-0469(2000)057<3202:DPOBE>2.0.CO;2.
   Cash BA, 2001, J CLIMATE, V14, P1017, DOI 10.1175/1520-0442(2001)014<1017:ONGOTP>2.0.CO;2.
   DOLE RM, 1990, MON WEATHER REV, V118, P824, DOI 10.1175/1520-0493(1990)118<0824:LCOPAP>2.0.CO;2.
   EGGER J, 1983, J ATMOS SCI, V40, P1073, DOI 10.1175/1520-0469(1983)040<1073:OTTOTL>2.0.CO;2.
   Feldstein S, 1998, J ATMOS SCI, V55, P415, DOI 10.1175/1520-0469(1998)055<0415:TGADOL>2.0.CO;2.
   Feldstein S, 1996, J ATMOS SCI, V53, P3541, DOI 10.1175/1520-0469(1996)053<3541:MOZIVI>2.0.CO;2.
   Feldstein SB, 2000, J CLIMATE, V13, P4430, DOI 10.1175/1520-0442(2000)013<4430:TTPSAC>2.0.CO;2.
   Franzke C, 2001, Q J ROY METEOR SOC, V127, P1321, DOI 10.1002/qj.49712757411.
   FREDERIKSEN JS, 1983, J ATMOS SCI, V40, P2593, DOI 10.1175/1520-0469(1983)040<2593:AUTDIT>2.0.CO;2.
   Holton J.R., 1992, INTRO DYNAMIC METEOR.
   HOREL JD, 1985, MON WEATHER REV, V113, P2030, DOI 10.1175/1520-0493(1985)113<2030:POTMHF>2.0.CO;2.
   HOSKINS BJ, 1983, J ATMOS SCI, V40, P1595, DOI 10.1175/1520-0469(1983)040<1595:TSPAMF>2.0.CO;2.
   HOSKINS BJ, 1981, J ATMOS SCI, V38, P1179, DOI 10.1175/1520-0469(1981)038<1179:TSLROA>2.0.CO;2.
   KANG IS, 1990, J ATMOS SCI, V47, P141, DOI 10.1175/1520-0469(1990)047<0141:IOZMFC>2.0.CO;2.
   KUSHNIR Y, 1987, J ATMOS SCI, V44, P2727, DOI 10.1175/1520-0469(1987)044<2727:RWLFDO>2.0.CO;2.
   KUSHNIR Y, 1989, J ATMOS SCI, V46, P3122, DOI 10.1175/1520-0469(1989)046<3122:LFVITN>2.0.CO;2.
   LAU NC, 1988, J ATMOS SCI, V45, P2718, DOI 10.1175/1520-0469(1988)045<2718:VOTOMS>2.0.CO;2.
   LIVEZEY RE, 1983, MON WEATHER REV, V111, P46, DOI 10.1175/1520-0493(1983)111<0046:SFSAID>2.0.CO;2.
   MO KC, 1986, MON WEATHER REV, V114, P806.
   Newman M, 1997, J ATMOS SCI, V54, P435, DOI 10.1175/1520-0469(1997)054<0435:SFOTWE>2.0.CO;2.
   NIGAM S, 1989, J ATMOS SCI, V46, P1746, DOI 10.1175/1520-0469(1989)046<1746:TSOSWT>2.0.CO;2.
   SARDESHMUKH PD, 1988, J ATMOS SCI, V45, P1228, DOI 10.1175/1520-0469(1988)045<1228:TGOGRF>2.0.CO;2.
   Sardeshmukh PD, 1997, J ATMOS SCI, V54, P5, DOI 10.1175/1520-0469(1997)054<0005:FBRWDO>2.0.CO;2.
   SIMMONS AJ, 1983, J ATMOS SCI, V40, P1363, DOI 10.1175/1520-0469(1983)040<1363:BWPAIA>2.0.CO;2.
   TING MF, 1993, J ATMOS SCI, V50, P2845, DOI 10.1175/1520-0469(1993)050<2845:ADAMSO>2.0.CO;2.
   WALLACE JM, 1981, MON WEATHER REV, V109, P784, DOI 10.1175/1520-0493(1981)109<0784:TITGHF>2.0.CO;2.}},
Number-of-Cited-References = {{35}},
Times-Cited = {{84}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{19}},
Journal-ISO = {{Q. J. R. Meteorol. Soc.}},
Doc-Delivery-Number = {{547HW}},
Unique-ID = {{ISI:000175327800002}},
DA = {{2020-08-06}},
}

@article{ ISI:000176339300002,
Author = {D'Andrea, F},
Title = {{Extratropical low-frequency variability as a low-dimensional problem.
   II: Stationarity and stability of large-scale equilibria}},
Journal = {{QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY}},
Year = {{2002}},
Volume = {{128}},
Number = {{582, B}},
Pages = {{1059-1073}},
Month = {{APR}},
Abstract = {{Stationarity and stability properties of large-scale persistent
   anomalies in the northern hemisphere are addressed. The low-order model
   developed in Part I is used for this purpose. It was obtained as the
   projection of a three-level quasi-geostrophic system on the ten leading
   empirical orthogonal functions. Three global quasi-stationary states are
   identified, which represent the Arctic high and the positive and
   negative phases of the main teleconnections (Pacific North American and
   North Atlantic oscillation). The quasi-stationary solutions have only a
   partial correspondence to the weather regimes found in Part I. Stability
   analysis shows a growing mode that describes an oscillation between the
   two phases of the teleconnections. The negative teleconnection state is
   also shown to be much more stable than the other two. Possible decay
   mechanisms are also discussed.}},
Publisher = {{ROYAL METEOROLOGICAL SOC}},
Address = {{104 OXFORD ROAD, READING RG1 7LJ, BERKS, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{D'Andrea, F (Corresponding Author), Ecole Normale Super, Meteorol Dynam Lab, 24 Rue Lhomond, F-75005 Paris, France.
   Ecole Normale Super, Meteorol Dynam Lab, F-75005 Paris, France.}},
DOI = {{10.1256/003590002320373201}},
ISSN = {{0035-9009}},
Keywords = {{extratropical circulation; low-order modelling}},
Keywords-Plus = {{WEATHER REGIMES; NORTHERN-HEMISPHERE; FLOW REGIMES; BLOCKING; DYNAMICS;
   PACIFIC; OSCILLATIONS; ATMOSPHERE; GCM}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
ORCID-Numbers = {{D'Andrea, Fabio/0000-0002-6249-3168}},
Cited-References = {{BRANSTATOR G, 1987, J ATMOS SCI, V44, P2310, DOI 10.1175/1520-0469(1987)044<2310:ASEOTA>2.0.CO;2.
   CHARNEY JG, 1979, J ATMOS SCI, V36, P1205, DOI 10.1175/1520-0469(1979)036<1205:MFEITA>2.0.CO;2.
   CHENG XH, 1993, J ATMOS SCI, V50, P2674, DOI 10.1175/1520-0469(1993)050<2674:CAOTNH>2.0.CO;2.
   Corti S, 1999, NATURE, V398, P799, DOI 10.1038/19745.
   D'Andrea F, 2001, Q J ROY METEOR SOC, V127, P1357, DOI 10.1002/qj.49712757413.
   DACOSTA E, 1998, J ATMOS SCI, V55, P1064.
   GHIL M, 1991, J ATMOS SCI, V48, P752, DOI 10.1175/1520-0469(1991)048<0752:IOITGA>2.0.CO;2.
   HAINES K, 1995, J ATMOS SCI, V52, P2444, DOI 10.1175/1520-0469(1995)052<2444:WRITPF>2.0.CO;2.
   Hannachi A, 1997, J ATMOS SCI, V54, P1334, DOI 10.1175/1520-0469(1997)054<1334:WRITPF>2.0.CO;2.
   KIMOTO M, 1993, J ATMOS SCI, V50, P2625, DOI 10.1175/1520-0469(1993)050<2625:MFRITN>2.0.CO;2.
   KUSHNIR Y, 1987, J ATMOS SCI, V44, P2727, DOI 10.1175/1520-0469(1987)044<2727:RWLFDO>2.0.CO;2.
   MARKUS SL, 1996, J ATMOS SCI, V53, P1993.
   MARSHALL J, 1993, J ATMOS SCI, V50, P1792, DOI 10.1175/1520-0469(1993)050<1792:TADUOP>2.0.CO;2.
   Michelangeli PA, 1998, Q J ROY METEOR SOC, V124, P1045, DOI 10.1002/qj.49712454803.
   MICHELANGELI PA, 1995, J ATMOS SCI, V52, P1237, DOI 10.1175/1520-0469(1995)052<1237:WRRAQS>2.0.CO;2.
   PLAUT G, 1994, J ATMOS SCI, V51, P210, DOI 10.1175/1520-0469(1994)051<0210:SOLFOA>2.0.CO;2.
   REINHOLD BB, 1982, MON WEATHER REV, V110, P1105, DOI 10.1175/1520-0493(1982)110<1105:DOWRQS>2.0.CO;2.
   SHUTTS G, 1987, METEOROL MAG, V116, P117.
   SIMMONS AJ, 1983, J ATMOS SCI, V40, P1363, DOI 10.1175/1520-0469(1983)040<1363:BWPAIA>2.0.CO;2.
   VAUTARD R, 1990, J ATMOS SCI, V47, P1926, DOI 10.1175/1520-0469(1990)047<1926:SSTFTM>2.0.CO;2.}},
Number-of-Cited-References = {{20}},
Times-Cited = {{20}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{Q. J. R. Meteorol. Soc.}},
Doc-Delivery-Number = {{564XR}},
Unique-ID = {{ISI:000176339300002}},
DA = {{2020-08-06}},
}

@article{ ISI:000175224700003,
Author = {Dietzenbacher, E},
Title = {{Interregional multipliers: Looking backward, looking forward}},
Journal = {{REGIONAL STUDIES}},
Year = {{2002}},
Volume = {{36}},
Number = {{2}},
Pages = {{125-136}},
Month = {{APR}},
Note = {{45th North American Meeting of the
   Regional-Science-Association-International, SANTA FE, NM, NOV 11-14,
   1998}},
Organization = {{Reg Sci Assoc Int}},
Abstract = {{Backward linkages are usually measured using output multipliers as based
   on the input matrix. Similarly, value-added and import multipliers are
   derived by additionally using the corresponding primary input
   coefficients. For measuring forward linkages, input multipliers have
   been frequently used. Within a `supply-driven' input-output model, these
   multipliers are obtained from the output matrix. The present paper
   extends this notion by taking into account also the final output
   coefficients. This yields consumption, export and investment
   multipliers. In an empirical analysis, multipliers are calculated for an
   intercountry input-output table of six European Union (EU) countries.
   The multipliers are decomposed into intracountry effects, intercountry
   spillover effects and intercountry feedback effects.}},
Publisher = {{ROUTLEDGE JOURNALS, TAYLOR \& FRANCIS LTD}},
Address = {{2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND}},
Type = {{Article; Proceedings Paper}},
Language = {{English}},
Affiliation = {{Dietzenbacher, E (Corresponding Author), Univ Groningen, Fac Econ, POB 800, NL-9700 AV Groningen, Netherlands.
   Univ Groningen, Fac Econ, NL-9700 AV Groningen, Netherlands.}},
DOI = {{10.1080/00343400220121918}},
ISSN = {{0034-3404}},
EISSN = {{1360-0591}},
Keywords = {{input-output analysis; multipliers; linkages; spillovers; feedbacks}},
Keywords-Plus = {{KEY SECTORS; MODEL; LINKAGES}},
Research-Areas = {{Business \& Economics; Environmental Sciences \& Ecology; Geography;
   Public Administration}},
Web-of-Science-Categories  = {{Economics; Environmental Studies; Geography; Regional \& Urban Planning}},
Author-Email = {{E.Dietzenbacher@eco.rug.nl}},
ORCID-Numbers = {{Dietzenbacher, Erik/0000-0001-8874-4175}},
Cited-References = {{Augustinovics M., 1970, CONTRIBUTIONS INPUT, P249.
   BEYERS WB, 1976, ENVIRON PLANN A, V8, P231, DOI 10.1068/a080231.
   BOOMSMA P, 1991, NIEUWE IDEEEN NEDERL.
   de Haan M, 2001, ECON SYST RES, V13, P181, DOI DOI 10.1080/09537320120052452.
   Dietzenbacher E, 1997, J REGIONAL SCI, V37, P629, DOI 10.1111/0022-4146.00073.
   Dietzenbacher E, 1997, J REGIONAL SCI, V37, P235, DOI 10.1111/0022-4146.00053.
   DIETZENBACHER E, 1992, ECON MODEL, V9, P419, DOI 10.1016/0264-9993(92)90022-T.
   DIETZENBACHER E, 2001, INPUT OUTPUT ANAL FR, P121.
   Dietzenbacher E., 1993, ECON SYST RES, V5, P185, DOI DOI 10.1080/09535319300000017.
   {*}EUROSTAT, 1979, EUR SYST INT EC ACC.
   GHOSH A, 1958, ECONOMICA, V25, P58, DOI 10.2307/2550694.
   Isard W, 1951, REV ECON STAT, V33, P318, DOI 10.2307/1926459.
   Jacobsen H. K., 2000, ECON SYST RES, V12, P319, DOI DOI 10.1080/09535310050120916.
   JONES LP, 1976, Q J ECON, V90, P323, DOI 10.2307/1884635.
   KURZ HD, 1998, INPUT OUTPUT ANAL, V3.
   Lenzen M, 2001, ECON SYST RES, V13, P65, DOI {[}10.1080/09535310120026256, DOI 10.1080/09535310120026256].
   Miller R.E., 1985, INPUT OUTPUT ANAL FD.
   Miller R. E., 1966, PAPERS REGIONAL SCI, V17, P105, DOI DOI 10.1007/BF01982512.
   MILLER RE, 1969, WESTERN ECON J, V7, P41.
   MUKHOPADHYAY K, 1999, ECON SYST RES, V11, P423, DOI DOI 10.1080/09535319900000030.
   OOSTERHAVEN J, 1989, J REGIONAL SCI, V29, P459, DOI 10.1111/j.1467-9787.1989.tb01391.x.
   OOSTERHAVEN J, 1988, J REGIONAL SCI, V28, P203, DOI 10.1111/j.1467-9787.1988.tb01208.x.
   PYATT G, 1979, ECON J, V89, P850, DOI 10.2307/2231503.
   REINERT KA, 2001, ECON SYST RES, V13, P197.
   ROLANDHOLST DW, 1995, REV ECON STAT, V77, P361, DOI 10.2307/2109871.
   Round J. I., 2001, INPUT OUTPUT ANAL FR, P54.
   ROUND JI, 1985, ECON J, V95, P383, DOI 10.2307/2233216.
   SANCHEZCHOLIZ J, 2000, ECON SYST RES, V12, P83.
   UNGAR P, 1994, RAPID REPORTS EC FIN, V2.
   Van der Linden JA, 1995, ECON SYST RES, V7, P249, DOI DOI 10.1080/09535319500000023.
   VANDERLINDEN JA, 1998, INTERDEPENDENCE SPEC.
   Weis C, 2000, EUR J NEUROSCI, V12, P271.
   Wilting H.C., 1999, ECON SYST RES, V11, P233.}},
Number-of-Cited-References = {{33}},
Times-Cited = {{41}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{17}},
Journal-ISO = {{Reg. Stud.}},
Doc-Delivery-Number = {{545NW}},
Unique-ID = {{ISI:000175224700003}},
DA = {{2020-08-06}},
}

@article{ ISI:000174752000013,
Author = {Cook, KH and Hsieh, JS},
Title = {{Teleconnection between Africa and South America}},
Journal = {{BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY}},
Year = {{2002}},
Volume = {{83}},
Number = {{3}},
Pages = {{359-360}},
Month = {{MAR}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Meeting Abstract}},
Language = {{English}},
ISSN = {{0003-0007}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
ResearcherID-Numbers = {{Cook, Kerry/B-4998-2011}},
Number-of-Cited-References = {{0}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Journal-ISO = {{Bull. Amer. Meteorol. Soc.}},
Doc-Delivery-Number = {{537HC}},
Unique-ID = {{ISI:000174752000013}},
DA = {{2020-08-06}},
}

@article{ ISI:000174046100009,
Author = {Yuen, KV and Katafygiotis, LS},
Title = {{Bayesian modal updating using complete input and incomplete response
   noisy measurements}},
Journal = {{JOURNAL OF ENGINEERING MECHANICS-ASCE}},
Year = {{2002}},
Volume = {{128}},
Number = {{3}},
Pages = {{340-350}},
Month = {{MAR}},
Abstract = {{The problem of identification of the modal parameters of a structural
   model using complete input and incomplete response time histories is
   addressed. It is assumed that there exist both input error (due to input
   measurement noise) and output error (due to output measurement noise and
   modeling error). These errors are modeled by independent white noise
   processes, and contribute towards uncertainty in the identification of
   the modal parameters of the model. To explicitly treat these
   uncertainties, a Bayesian framework is adopted and a Bayesian
   time-domain methodology for modal updating based on an approximate
   conditional probability expansion is presented. The methodology allows
   one to obtain not only the optimal (most probable) values of the updated
   modal parameters but also their uncertainties, calculated from their
   joint probability distribution. Calculation of the uncertainties of the
   identified modal parameters is very important if one plans to proceed
   with the updating of a theoretical finite-element model based on these
   modal estimates. The proposed approach requires only one set of
   excitation and corresponding response data. It is found that the updated
   probability density function (PDF) can be well approximated by a
   Gaussian distribution centered at the optimal parameters at which the
   posterior PDF is maximized. Numerical examples using noisy simulated
   data are presented to illustrate the proposed method.}},
Publisher = {{ASCE-AMER SOC CIVIL ENGINEERS}},
Address = {{1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Yuen, KV (Corresponding Author), CALTECH, Div Engn \& Appl Sci, Pasadena, CA 91125 USA.
   CALTECH, Div Engn \& Appl Sci, Pasadena, CA 91125 USA.
   Hong Kong Univ Sci \& Technol, Dept Civil Engn, Hong Kong, Hong Kong, Peoples R China.}},
DOI = {{10.1061/(ASCE)0733-9399(2002)128:3(340)}},
ISSN = {{0733-9399}},
Keywords = {{Bayesian analysis; response time; input-output analysis; structural
   models}},
Keywords-Plus = {{IDENTIFICATION; SYSTEMS}},
Research-Areas = {{Engineering}},
Web-of-Science-Categories  = {{Engineering, Mechanical}},
ResearcherID-Numbers = {{Yuen, Ka-Veng/H-1824-2014
   Yuen, Ka-Veng/AAT-1509-2020}},
ORCID-Numbers = {{Yuen, Ka-Veng/0000-0002-1755-6668
   Yuen, Ka-Veng/0000-0002-1755-6668}},
Cited-References = {{Beck JL, 1998, J ENG MECH, V124, P455, DOI 10.1061/(ASCE)0733-9399(1998)124:4(455).
   BECK JL, 1978, 7801 EERL CALTECH.
   Brockwell PJ, 1991, TIME SERIES THEORY M.
   EWINS DJ, 1995, MODAL TESTING THEORY.
   HOSHIYA M, 1984, J ENG MECH-ASCE, V110, P1757, DOI 10.1061/(ASCE)0733-9399(1984)110:12(1757).
   IBRAHIM SR, 1986, AIAA J, V24, P499, DOI 10.2514/3.9296.
   Juang J.-N., 1988, SHOCK VIBRATION DIGE, V20, P4.
   JUANG JN, 1987, INT J ANAL EXPT MODA, V2, P1.
   Katafygiotis LS, 1998, SOIL DYN EARTHQ ENG, V17, P495, DOI 10.1016/S0267-7261(98)00008-6.
   KATAFYGIOTIS LS, 1999, EUR DYN C 99 PRAG, P617.
   Kitada Y, 1998, J ENG MECH-ASCE, V124, P1059, DOI 10.1061/(ASCE)0733-9399(1998)124:10(1059).
   KOZIN F, 1986, STRUCT SAF, V3, P269, DOI 10.1016/0167-4730(86)90006-8.
   Leuridan J., 1984, THESIS U CINCINNATI.
   NATKE HG, 1998, P WORKSH STRUCT SAF.
   Papadimitriou C, 2000, J VIB CONTROL, V6, P781, DOI 10.1177/107754630000600508.
   VOLD H, 1982, P INT MOD AN C, P542.
   YANG QJ, 1994, MECH SYST SIGNAL PR, V8, P159, DOI 10.1006/mssp.1994.1014.
   Zeldin BA, 1998, J ENG MECH-ASCE, V124, P728, DOI 10.1061/(ASCE)0733-9399(1998)124:7(728).}},
Number-of-Cited-References = {{18}},
Times-Cited = {{41}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{8}},
Journal-ISO = {{J. Eng. Mech.-ASCE}},
Doc-Delivery-Number = {{525AY}},
Unique-ID = {{ISI:000174046100009}},
DA = {{2020-08-06}},
}

@article{ ISI:000175105000004,
Author = {Madu, CN and Kuei, C and Madu, IE},
Title = {{A hierarchic metric approach for integration of green issues in
   manufacturing: a paper recycling application}},
Journal = {{JOURNAL OF ENVIRONMENTAL MANAGEMENT}},
Year = {{2002}},
Volume = {{64}},
Number = {{3}},
Pages = {{261-272}},
Month = {{MAR}},
Abstract = {{This paper presents a hierarchic framework for environmentally conscious
   design. The framework integrates both product designers and stakeholders
   to evaluate not only the product features but also its environmental
   burden. In evaluating the product's burden, a life cycle assessment of
   the product is conducted through input-output analysis so that a
   comprehensive inventory of the product's actions and reactions to the
   environment could be documented. The analytic hierarchy procedure (AHP)
   is used to develop priority indices for customer requirements to
   highlight key features that must be present in the product.
   Subsequently, the quality function deployment is used to match design
   requirements to customer requirements. A cost-effective design plan is
   then finally developed. This framework adopts a systemic approach and
   ensures that environmentally conscious products are designed and
   manufactured. (C) 2002 Elsevier Science Ltd.}},
Publisher = {{ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD}},
Address = {{24-28 OVAL RD, LONDON NW1 7DX, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Madu, CN (Corresponding Author), Pace Univ, Lubin Sch Business, Dept Management \& Management Sci, 1 Pace Plaza, New York, NY 10038 USA.
   Pace Univ, Lubin Sch Business, Dept Management \& Management Sci, New York, NY 10038 USA.}},
DOI = {{10.1006/jema.2001.0498}},
ISSN = {{0301-4797}},
EISSN = {{1095-8630}},
Keywords = {{environmentally conscious manufacturing; green design; paper recycling}},
Keywords-Plus = {{DECISION-MAKING}},
Research-Areas = {{Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Environmental Sciences}},
Author-Email = {{chrismadu@aol.com}},
ResearcherID-Numbers = {{Madu, Christian/AAH-6495-2020}},
Cited-References = {{{*}AM SUPPL I, 1989, QUAL FUNCT DEPL IMPL.
   AYRES R, 1989, TECHNOLOGY ENV.
   {*}BUS STRAT PLANN A, 2000, EL IND ENV ROADM BUS.
   Dillion P., 1991, C GREEN IND NETH.
   DILLON PS, 1994, IEEE SPECTRUM, V31, P18, DOI 10.1109/6.299530.
   EVANS S, 2000, EC LIFE CYCLE.
   Hicks C. R., 1973, FUNDAMENTAL CONCEPTS.
   MADU CN, 1994, IIE TRANS, V26, P31, DOI 10.1080/07408179408966605.
   MADU CN, 1995, COMPUT IND ENG, V28, P881, DOI 10.1016/0360-8352(95)00004-K.
   MATHEWS HS, 1995, IEEE, P304.
   NAVINCHANDRA D, 1991, P 1991 ASME DES THEO, P1.
   PROBASCO I, 2000, GUIDELINES ENV CONSC.
   Ross P. J., 1988, TAGUCHI TECHNIQUES Q.
   ROY R, 1992, LONG RANGE PLANN, V25, P62, DOI 10.1016/0024-6301(92)90009-Q.
   Saaty T.L., 1980, ANAL HIERARCHY PROCE.
   SAATY TL, 1987, DECISION SCI, V18, P157, DOI 10.1111/j.1540-5915.1987.tb01514.x.
   VONDEREMBSE M. A., 1997, INT J QUALITY SCI, P253, DOI {[}10.1108/13598539710192610, DOI 10.1108/13598539710192610].
   1993, ELECT COMPUTER IND.}},
Number-of-Cited-References = {{18}},
Times-Cited = {{73}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{13}},
Journal-ISO = {{J. Environ. Manage.}},
Doc-Delivery-Number = {{543MD}},
Unique-ID = {{ISI:000175105000004}},
DA = {{2020-08-06}},
}

@article{ ISI:000175239300018,
Author = {Bras, B},
Title = {{Material flow challenges in industrial ecosystems}},
Journal = {{MATERIALS TRANSACTIONS}},
Year = {{2002}},
Volume = {{43}},
Number = {{3}},
Pages = {{364-367}},
Month = {{MAR}},
Note = {{5th International Conference of Ecomaterials, HI, 2001}},
Abstract = {{In Industrial Ecology the core idea is to find symbiolic relationships
   where waste material from one company is being Used by other companies
   and industrial ecosystems are created. Although the idea is simple.
   fundamental challenges exist related to the quality of the material.
   stability of the system, etc. A core question is how to assess of the
   ``goodness{''} of such a system. In this paper, it is shown how
   ecological input-output analysis metrics can be used to analyze flows.}},
Publisher = {{JAPAN INST METALS}},
Address = {{1-14-32, ICHIBANCHO, AOBA-KU, SENDAI, 980-8544, JAPAN}},
Type = {{Article; Proceedings Paper}},
Language = {{English}},
Affiliation = {{Bras, B (Corresponding Author), Georgia Inst Technol, Atlanta, GA 30332 USA.
   Georgia Inst Technol, Atlanta, GA 30332 USA.}},
DOI = {{10.2320/matertrans.43.364}},
ISSN = {{1345-9678}},
EISSN = {{1347-5320}},
Keywords = {{materials; industrial ecology; flow analysis; recycling}},
Research-Areas = {{Materials Science; Metallurgy \& Metallurgical Engineering}},
Web-of-Science-Categories  = {{Materials Science, Multidisciplinary; Metallurgy \& Metallurgical
   Engineering}},
Author-Email = {{bert.bras@me.gatech.edu}},
Cited-References = {{BAILEY R, 2000, INPUT OUTPUT ANAL AP.
   Bras B., 1997, IND ENV, V20, P7.
   FROSCH RA, 1989, SCI AM, V261, P144, DOI 10.1038/scientificamerican0989-144.
   Graedel T, 1995, IND ECOLOGY.
   ODUM EP, 1983, BASIC ECOLOGY.
   {*}WTEC, 2001, ENV BEN MAN.}},
Number-of-Cited-References = {{6}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{1}},
Journal-ISO = {{Mater. Trans.}},
Doc-Delivery-Number = {{545VY}},
Unique-ID = {{ISI:000175239300018}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000174472000011,
Author = {Changnon, D and Thompson, J and April, T and Schmidt, E and Falout, M
   and Davis, JB and Russo, M},
Title = {{Efforts to improve predictions of urban winter heating anomalies using
   various climate indices}},
Journal = {{METEOROLOGICAL APPLICATIONS}},
Year = {{2002}},
Volume = {{9}},
Number = {{1}},
Pages = {{105-111}},
Month = {{MAR}},
Abstract = {{Meteorologists who work in the energy commodities market continue to
   investigate ways to enhance predictions of seasonal temperature
   anomalies using oceanic/atmospheric indices. This study examines the
   relationship of three climate indices - ENSO (EL Nino/Southern
   Oscillation), PNA (Pacific North American) and NAO (North Atlantic
   Oscillation) - to heating degree day (HDD) totals accumulated in 11
   cities in the Midwest and northeastern United States, to determine
   which, if any, has predictive power. The data covers the 48-year period
   between 1951/52 and 1998/99, and focuses on two periods either side of 1
   January (i.e. the winter months of October-December and January-April).
   The index most strongly related to the HDD anomalies during both winter
   periods was NAO. NAO values were negative for cold (above-average HDD)
   anomalies occurring prior to and after 1 January, while the NAO values
   were generally positive during warm (below-average HDD) anomalies.
   During cold anomalies, the PNA values were generally positive in the
   three months before 1 January and negative afterwards, indicating that
   different atmospheric teleconnection patterns cause similar temperature
   anomalies in these regions. The relationship between the equatorial
   Pacific sea-surface temperatures (SST) data and temperature anomalies
   was the weakest. Confidence in these relationships increased when the
   extreme HDD anomaly years were examined. These results indicated that
   the relationships of climate indices to HDD anomalies exist and that
   these would be useful in developing and improving seasonal predictions
   for business applications.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Changnon, D (Corresponding Author), No Illinois Univ, Dept Geog, Meteorol Program, De Kalb, IL 60115 USA.
   No Illinois Univ, Dept Geog, Meteorol Program, De Kalb, IL 60115 USA.
   Salomon Smith Barney Inc, Chicago, IL 60606 USA.}},
DOI = {{10.1017/S1350482702001111}},
ISSN = {{1350-4827}},
EISSN = {{1469-8080}},
Keywords-Plus = {{NATURAL-GAS; EL-NINO; FORECASTS; INFORMATION; OSCILLATION; DECISION}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Cited-References = {{Barnston AG, 1999, B AM METEOROL SOC, V80, P1829, DOI 10.1175/1520-0477(1999)080<1829:NFOTEN>2.0.CO;2.
   BROWN BG, 1987, 872 SCIL OR STAT U.
   Changnon D, 1999, B AM METEOROL SOC, V80, P1117, DOI 10.1175/1520-0477(1999)080<1117:IWAWSD>2.0.CO;2.
   Changnon D, 2000, METEOROL APPL, V7, P211, DOI 10.1017/S1350482700001717.
   CHANGNON D, 2000, EL NINO 1997 1998 CL, P109.
   CHANGNON SA, 1995, B AM METEOROL SOC, V76, P711, DOI 10.1175/1520-0477(1995)076<0711:UAAOCF>2.0.CO;2.
   HOREL JD, 1981, MON WEATHER REV, V109, P813, DOI 10.1175/1520-0493(1981)109<0813:PSAPAW>2.0.CO;2.
   HURRELL JW, 1995, SCIENCE, V269, P676, DOI 10.1126/science.269.5224.676.
   KAUFFMAN CM, 2000, 12 C APPL CLIM 8 11.
   Kiladis GN, 1989, J CLIMATE, V2, P1069, DOI 10.1175/1520-0442(1989)002<1069:GCAAWE>2.0.CO;2.
   Kousky V. E, 2000, EL NINO 1997 1998 CL, P28.
   MCKEE TB, 1995, 11 AMS INT C INT INF.
   ROBINSON PJ, 1999, CONT CLIMATOLOGY.
   ROPELEWSKI C. F., 1987, MON WEA REV, V115, P2352.
   Russo M, 1999, B AM METEOROL SOC, V80, P1139.
   Trenberth KE, 1997, B AM METEOROL SOC, V78, P2771, DOI 10.1175/1520-0477(1997)078<2771:TDOENO>2.0.CO;2.
   WALLACE JM, 1981, MON WEATHER REV, V109, P784, DOI 10.1175/1520-0493(1981)109<0784:TITGHF>2.0.CO;2.
   WEISS EB, 1982, J APPL METEOROL, V21, P510.}},
Number-of-Cited-References = {{18}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{2}},
Journal-ISO = {{Meteorol. Appl.}},
Doc-Delivery-Number = {{532JU}},
Unique-ID = {{ISI:000174472000011}},
DA = {{2020-08-06}},
}

@article{ ISI:000174858700010,
Author = {Hirotsu, C and Marumo, K},
Title = {{Changepoint analysis as a method for isotonic inference}},
Journal = {{SCANDINAVIAN JOURNAL OF STATISTICS}},
Year = {{2002}},
Volume = {{29}},
Number = {{1}},
Pages = {{125-138}},
Month = {{MAR}},
Abstract = {{Concavity and sigmoidicity hypotheses are developed as a natural
   extension of the simple ordered hypothesis in normal means. Those
   hypotheses give reasonable shape constraints for obtaining a smooth
   response curve in the non-parametric input-output analysis. The slope
   change and inflection point models are introduced correspondingly as the
   corners of the polyhedral cones defined by those isotonic hypotheses.
   Then a maximal contrast type test is derived systematically as the
   likelihood ratio test for each of those changepoint hypotheses. The test
   is also justified for the original isotonic hypothesis by a complete
   class lemma. The component variables of the resulting test statistic
   have second or third order Markov property which, together with an
   appropriate nonlinear transformation, leads to an exact and very
   efficient algorithm,for the probability calculation. Some considerations
   on the power of the test are given showing this to be a very promising
   way of approaching to the isotonic inference.}},
Publisher = {{BLACKWELL PUBL LTD}},
Address = {{108 COWLEY RD, OXFORD OX4 1JF, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Hirotsu, C (Corresponding Author), Meisei Univ, Fac Sci \& Technol, 2-1-1 Hokokubo, Hino, Tokyo 1918506, Japan.
   Meisei Univ, Fac Sci \& Technol, Hino, Tokyo 1918506, Japan.}},
DOI = {{10.1111/1467-9469.00084}},
ISSN = {{0303-6898}},
Keywords = {{concavity; extended max t test; inflection; maximin linear lest;
   non-parametric dose-response analysis; Markov property; sigmoidicity;
   slope change}},
Keywords-Plus = {{CHANGE-POINT; TESTS; SEQUENCE; BIOASSAY}},
Research-Areas = {{Mathematics}},
Web-of-Science-Categories  = {{Statistics \& Probability}},
Cited-References = {{ABELSON RP, 1963, ANN MATH STAT, V34, P1347, DOI 10.1214/aoms/1177703869.
   DALBEY W, 1982, ORNLTM8867 BIOL DIV.
   HAWKINS DM, 1977, J AM STAT ASSOC, V72, P180, DOI 10.2307/2286934.
   HIROTSU C, 1982, BIOMETRIKA, V69, P567.
   HIROTSU C, 1992, BIOMETRIKA, V79, P381, DOI 10.1093/biomet/79.2.381.
   Hirotsu C, 2000, STAT PROBABIL LETT, V49, P25, DOI 10.1016/S0167-7152(00)00027-4.
   HIROTSU C, 1988, ANN I STAT MATH, V40, P451, DOI 10.1007/BF00053058.
   Hirotsu C, 1997, AUST J STAT, V39, P205, DOI 10.1111/j.1467-842X.1997.tb00536.x.
   HIROTSU C, 1986, BIOMETRIKA, V73, P165.
   HIROTSU C, 1979, REP STATIST APPL RES, V26, P12.
   HSU DA, 1979, J AM STAT ASSOC, V74, P31, DOI 10.2307/2286717.
   Laurie DP, 1996, J COMPUT APPL MATH, V66, P337, DOI 10.1016/0377-0427(95)00196-4.
   MARCUS R, 1976, BIOMETRIKA, V63, P177.
   Matzkin R. L., 1994, HDB ECONOMETRICS, V4, P2523, DOI DOI 10.1016/S1573-4412(05)80011-X.
   NOE M, 1972, ANN MATH STAT, V43, P58, DOI 10.1214/aoms/1177692700.
   RAMGOPAL P, 1993, BIOMETRIKA, V80, P489, DOI 10.2307/2337170.
   Robertson T, 1988, ORDER RESTRICTED STA.
   SCHMOYER RL, 1984, J AM STAT ASSOC, V79, P448, DOI 10.2307/2288289.
   SEN A, 1975, ANN STAT, V3, P98, DOI 10.1214/aos/1176343001.
   WILLIAMS DA, 1971, BIOMETRICS, V27, P103, DOI 10.2307/2528930.
   WORSLEY KJ, 1986, BIOMETRIKA, V73, P91.}},
Number-of-Cited-References = {{21}},
Times-Cited = {{7}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{2}},
Journal-ISO = {{Scand. J. Stat.}},
Doc-Delivery-Number = {{539EZ}},
Unique-ID = {{ISI:000174858700010}},
DA = {{2020-08-06}},
}

@article{ ISI:000174678700001,
Author = {Meissner, KJ and Gerdes, R},
Title = {{Coupled climate modelling of ocean circulation changes during ice age
   inception}},
Journal = {{CLIMATE DYNAMICS}},
Year = {{2002}},
Volume = {{18}},
Number = {{6}},
Pages = {{455-473}},
Month = {{FEB}},
Abstract = {{Freshening of high latitude surface waters can change the large-scale
   oceanic transport of heat and salt, Consequently, atmospheric and sea
   ice perturbations over the deep water production sites excite a
   large-scale response establishing an oceanic ``teleconnection{''} with
   time scales of years to centuries. To study these feedbacks, a coupled
   atmosphere-ocean-sea ice model consisting of a two dimensional
   atmospheric energy and moisture balance model (EMBM) coupled to a
   thermodynamic sea ice model and an ocean general circulation model is
   utilised. The coupled model reproduces many aspects of the present
   oceanic circulation. We also investigate the climate impact of changes
   in fresh water balance during an ice age initiation. In this experiment
   part of the precipitation over continents is stored within continental
   ice sheets. During the buildup of ice sheets the oceanic stratification
   in the North Atlantic is weakened by a reduced continental run-off
   leading to ail enhanced thermohaline circulation. Under these conditions
   salinity is redistributed such that deep water is more saline than under
   present conditions. Once the ice sheets built up, we simulate ail ice
   age climate without net fresh water storage on the continents. In this
   case the coupled model reproduces the shallow and weak overturning cell,
   an ice edge advance insulating the upper ocean, and many other aspects
   of the glacial circulation.}},
Publisher = {{SPRINGER-VERLAG}},
Address = {{175 FIFTH AVE, NEW YORK, NY 10010 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Meissner, KJ (Corresponding Author), Univ Victoria, Sch Earth \& Ocean Sci, POB 3055,Stn CSC, Victoria, BC V8W 3P6, Canada.}},
DOI = {{10.1007/s00382-001-0192-x}},
ISSN = {{0930-7575}},
Keywords-Plus = {{LAST GLACIAL MAXIMUM; ATLANTIC DEEP-WATER; ANTARCTIC CIRCUMPOLAR
   CURRENT; NORTH-ATLANTIC; THERMOHALINE CIRCULATION; GENERAL-CIRCULATION;
   SEA-ICE; INTERGLACIAL PERIOD; SURFACE-TEMPERATURE; ADVECTION SCHEMES}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Cited-References = {{AAGAARD K, 1989, J GEOPHYS RES-OCEANS, V94, P14485, DOI 10.1029/JC094iC10p14485.
   Andersen KK, 1998, GEOPHYS RES LETT, V25, P2281, DOI 10.1029/98GL51811.
   BERGER AL, 1978, J ATMOS SCI, V35, P2362, DOI 10.1175/1520-0469(1978)035<2362:LTVODI>2.0.CO;2.
   Bigg GR, 1998, PALEOCEANOGRAPHY, V13, P340, DOI 10.1029/98PA00402.
   Boyle E, 1996, SOUTH ATLANTIC, P423.
   Broecker W, 1991, OCEANOGRAPHY, V4, P79, DOI DOI 10.5670/0CEAN0G.1991.07.
   Broecker WS, 1998, QUATERNARY SCI REV, V17, P689, DOI 10.1016/S0277-3791(98)00037-7.
   BROECKER WS, 1990, SCI AM, V262, P49.
   BRYAN F, 1986, NATURE, V323, P301, DOI 10.1038/323301a0.
   BRYAN K, 1984, J PHYS OCEANOGR, V14, P666, DOI 10.1175/1520-0485(1984)014<0666:ATCTEO>2.0.CO;2.
   BUDD WF, 1981, IAHS PUBL, V131, P369.
   BUDYKO MI, 1969, TELLUS, V21, P611, DOI 10.3402/tellusa.v21i5.10109.
   CHAPPELL J, 1986, NATURE, V324, P137, DOI 10.1038/324137a0.
   CHEN D, 1995, THEOR APPL CLIMATOL, V51, P25, DOI 10.1007/BF00865537.
   CORTIJO E, 1994, NATURE, V372, P446, DOI 10.1038/372446a0.
   Cortijo E, 1999, PALEOCEANOGRAPHY, V14, P23, DOI 10.1029/1998PA900004.
   CROWLEY TJ, 1991, OXFORD MONOGRAPHS GE, V18.
   da Silva A, 1994, ATLAS SURFACE MARINE.
   Danabasoglu G, 1995, J CLIMATE, V8, P2967, DOI 10.1175/1520-0442(1995)008<2967:SOTGOC>2.0.CO;2.
   de Vernal A, 2000, CAN J EARTH SCI, V37, P725, DOI 10.1139/e99-091.
   DEBLONDE G, 1992, PALAEOGEOGR PALAEOCL, V98, P38.
   DICKSON RR, 1994, J GEOPHYS RES-OCEANS, V99, P12319, DOI 10.1029/94JC00530.
   Duplessy JC, 1996, SOUTH ATLANTIC, P445.
   DUPLESSY JC, 1992, NATO ASI SER, V13, P173.
   Fanning AF, 1996, J GEOPHYS RES-ATMOS, V101, P15111, DOI 10.1029/96JD01017.
   FICHEFET T, 1994, NATURE, V372, P252, DOI 10.1038/372252a0.
   Fieg K, 2001, J GEOPHYS RES-OCEANS, V106, P6853, DOI 10.1029/1999JC000102.
   FISCHER H, 1995, 166 AWI.
   Flint R.F., 1971, GLACIAL QUATERNARY G.
   Fronval T, 1996, NATURE, V383, P806, DOI 10.1038/383806a0.
   Fronval T, 1997, PALEOCEANOGRAPHY, V12, P443, DOI 10.1029/97PA00322.
   Ganopolski A, 2001, NATURE, V409, P153, DOI 10.1038/35051500.
   Ganopolski A, 1998, NATURE, V391, P351.
   GERDES R, 1995, J PHYS OCEANOGR, V25, P2624, DOI 10.1175/1520-0485(1995)025<2624:OTIODI>2.0.CO;2.
   GERDES R, 1991, CLIM DYNAM, V5, P211, DOI DOI 10.1007/BF00210006.
   Gill A.E., 1982, ATMOSPHERE OCEAN DYN.
   GREEN JSA, 1970, Q J ROY METEOR SOC, V96, P157, DOI 10.1002/qj.49709640802.
   Grosfeld K, 1997, J GEOPHYS RES-OCEANS, V102, P15595, DOI 10.1029/97JC00891.
   Haney R. L., 1971, Journal of Physical Oceanography, V1, P241, DOI 10.1175/1520-0485(1971)001<0241:STBCFO>2.0.CO;2.
   HELLERMAN S, 1983, J PHYS OCEANOGR, V13, P1093, DOI 10.1175/1520-0485(1983)013<1093:NMWSOT>2.0.CO;2.
   IDSO SB, 1969, J GEOPHYS RES, V74, P5379.
   Imbrie J, 1992, PALEOCEANOGRAPHY, V7, P701, DOI 10.1029/92PA02253.
   Kageyama M, 1999, CLIM DYNAM, V15, P773, DOI 10.1007/s003820050315.
   Kalnay E, 1996, B AM METEOROL SOC, V77, P437, DOI 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2.
   Kase R. H., 1996, WARMWATERSPHERE N AT, P291.
   Khodri M, 2001, NATURE, V410, P570, DOI 10.1038/35069044.
   Kukla G, 1997, QUATERNARY SCI REV, V16, P605, DOI 10.1016/S0277-3791(96)00114-X.
   LABEYRIE L, 1999, GEOPHYSICAL MONOGRAP, V112.
   Ledwell JR, 2000, NATURE, V403, P179, DOI 10.1038/35003164.
   LEVITUS S, 1994, WORLD OCEAN ATLAS 19, V4.
   Levitus S., 1994, WORLD OCEAN ATLAS 19, V3, P3.
   LICCARDI JM, 1999, GEOPHYSICAL MONOGRAP, V112.
   Lohmann G, 1998, J CLIMATE, V11, P2789, DOI 10.1175/1520-0442(1998)011<2789:SIEOTS>2.0.CO;2.
   LONDON J, 1957, STUDY ATMOSPHERIC HE.
   Lynch-Stieglitz J, 1999, NATURE, V402, P644, DOI 10.1038/45204.
   MAIERREIMER E, 1993, J PHYS OCEANOGR, V23, P731, DOI 10.1175/1520-0485(1993)023<0731:MCOTHL>2.0.CO;2.
   Mayewski PA, 1997, J GEOPHYS RES-OCEANS, V102, P26345, DOI 10.1029/96JC03365.
   MCINTYRE A, 1978, EVOLUTION PLANETARY, P113.
   MEISSNER KJ, 1999, THESIS U BREMEN GERM.
   Milankovitch M., 1930, HDB KLIMATOLOGIE, V1.
   Munk W, 1998, DEEP-SEA RES PT I, V45, P1977, DOI 10.1016/S0967-0637(98)00070-3.
   Oberhuber J. M., 1988, 15 M PLANCK I MET.
   OMSTEDT A, 1992, J GEOPHYS RES-OCEANS, V97, P9383, DOI 10.1029/92JC00815.
   OORT AH, 1971, 03170045 NOAA.
   ORSI AH, 1995, DEEP-SEA RES PT I, V42, P641, DOI 10.1016/0967-0637(95)00021-W.
   PACANOWSKI R, 1995, 3 GFDL OC GROUP GEOP.
   PEIXOTO JP, 1992, PHYSICS CLIMATE.
   Petit JR, 1999, NATURE, V399, P429, DOI 10.1038/20859.
   Press W. H., 1992, NUMERICAL RECIPES FO.
   RAHMSTORF S, 1999, EL NINO DECADAL VARI, P329.
   RENNICK MA, 1977, J ATMOS SCI, V34, P854, DOI 10.1175/1520-0469(1977)034<0854:TPOTLR>2.0.CO;2.
   Rohling EJ, 1998, J GEOPHYS RES-OCEANS, V103, P1307, DOI 10.1029/97JC01047.
   RUDDIMAN WF, 1981, SCIENCE, V212, P617, DOI 10.1126/science.212.4495.617.
   RUDDIMAN WF, 1980, QUATERNARY RES, V13, P33, DOI 10.1016/0033-5894(80)90081-2.
   Rutberg RL, 2000, NATURE, V405, P935.
   SARNTHEIN M, 1994, PALEOCEANOGRAPHY, V9, P209, DOI 10.1029/93PA03301.
   SCHMITZ WJ, 1995, REV GEOPHYS, V33, P151, DOI 10.1029/95RG00879.
   SCHMITZ WJ, 1996, WHOI9603.
   Sellers W. D., 1969, J APPL METEOROL, V8, P392, DOI DOI 10.1175/1520-0450(1969)008<0392:AGCMBO>2.0.CO;2.
   SEMTNER AJ, 1976, J PHYS OCEANOGR, V6, P379, DOI 10.1175/1520-0485(1976)006<0379:AMFTTG>2.0.CO;2.
   STOCKER TF, 1992, J CLIMATE, V5, P773, DOI 10.1175/1520-0442(1992)005<0773:AZACOA>2.0.CO;2.
   STONE PH, 1972, J ATMOS SCI, V29, P405, DOI 10.1175/1520-0469(1972)029<0405:ASRDMF>2.0.CO;2.
   UNTERSTEINER N, 1964, J GEOPHYS RES, V69, P4755, DOI 10.1029/JZ069i022p04755.
   VALLIS GK, 1982, TELLUS, V34, P211, DOI 10.3402/tellusa.v34i3.10806.
   Wang ZM, 2000, J CLIMATE, V13, P1150, DOI 10.1175/1520-0442(2000)013<1150:ASCAOS>2.0.CO;2.
   Weaver AJ, 1997, J PHYS OCEANOGR, V27, P369, DOI 10.1175/1520-0485(1997)027<0369:OTNIOA>2.0.CO;2.
   Weaver AJ, 1998, NATURE, V394, P847, DOI 10.1038/29695.
   WEAVER AJ, 1999, GEOPHYSICAL MONOGRAP, V112.
   Webb DJ, 2001, NATURE, V409, P37, DOI 10.1038/35051171.
   Weber SL, 1998, CLIM DYNAM, V14, P201, DOI 10.1007/s003820050218.
   WHITWORTH T, 1982, J PHYS OCEANOGR, V12, P960, DOI 10.1175/1520-0485(1982)012<0960:TNTOTA>2.0.CO;2.
   Wiebe EC, 1999, CLIM DYNAM, V15, P875, DOI 10.1007/s003820050319.
   Winguth AME, 1999, PALEOCEANOGRAPHY, V14, P304, DOI 10.1029/1999PA900002.
   Yu EF, 1996, NATURE, V379, P689, DOI 10.1038/379689a0.
   ZALESAK ST, 1979, J COMPUT PHYS, V31, P335, DOI 10.1016/0021-9991(79)90051-2.}},
Number-of-Cited-References = {{95}},
Times-Cited = {{12}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{Clim. Dyn.}},
Doc-Delivery-Number = {{536AN}},
Unique-ID = {{ISI:000174678700001}},
DA = {{2020-08-06}},
}

@article{ ISI:000174311800008,
Author = {Lenzen, M and Treloar, G},
Title = {{Embodied energy in buildings: wood versus concrete - reply to Borjesson
   and Gustavsson}},
Journal = {{ENERGY POLICY}},
Year = {{2002}},
Volume = {{30}},
Number = {{3}},
Pages = {{249-255}},
Month = {{FEB}},
Abstract = {{We analyse the wood and concrete designs of the Walludden building
   described by Borjesson et al. (Energy Policy 28 (2000) 575) in terms of
   their embodied energy, employing an environmentally extended
   input-output framework in a tiered hybrid life-cycle assessment. and in
   a structural path analysis. We illustrate the complexity of the
   inter-industry supply chains underlying the upstream energy requirements
   for the building options. Land demonstrate that higher-order inputs are
   difficult to capture in a conventional process analysis. Our
   Calculations show that Borjesson and Gustavsson's estimates of energy
   requirements and greenhouse gas emissions are underestimated by a factor
   of about 2, and that corresponding greenhouse gas balances are positive
   at about 30 t C-eq. Nevertheless, Borjesson and Gustavsson's general
   result the concrete-framed building causing higher emissions still
   holds. (C) 2002 Elsevier Science Ltd. All rights reserved.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Lenzen, M (Corresponding Author), Univ Sydney, Sch Phys, A28, Sydney, NSW 2006, Australia.
   Univ Sydney, Sch Phys, Sydney, NSW 2006, Australia.
   Deakin Univ, Sch Architecture \& Bldg, Geelong, Vic 3217, Australia.}},
DOI = {{10.1016/S0301-4215(01)00142-2}},
Article-Number = {{PII S0301-4215(01)00142-2}},
ISSN = {{0301-4215}},
EISSN = {{1873-6777}},
Keywords = {{embodied energy; life-cycle assessment; input output analysis}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; ECOLOGICAL FOOTPRINT; LIFE-CYCLE; EMISSIONS;
   ERROR; IRON; CO2}},
Research-Areas = {{Business \& Economics; Energy \& Fuels; Environmental Sciences \&
   Ecology}},
Web-of-Science-Categories  = {{Economics; Energy \& Fuels; Environmental Sciences; Environmental
   Studies}},
Author-Email = {{m.lenzen@physics.usyd.edu.au
   grahamt@deakin.edu.au}},
ResearcherID-Numbers = {{Lenzen, Manfred/D-3161-2013
   }},
ORCID-Numbers = {{Lenzen, Manfred/0000-0002-0828-5288}},
Cited-References = {{{*}AP CONS GROUP PLY, 1997, AUSTR TRANSP TASK EN.
   {*}AUSTR BUR AGR RES, 2000, UNPUB AUSTR EN CONS.
   {*}AUSTR BUR STAT, 1999, AUSTR NAT ACC INP OU.
   {*}AUSTR BUR STAT, 1999, AUSTR NATL ACCC.
   {*}AUSTR BUR STAT, 1997, MAN PROD AUSTR PRINC.
   {*}AUSTR BUR STAT, 1997, MOT VEH AUSTR.
   Bicknell KB, 1998, ECOL ECON, V27, P149, DOI 10.1016/S0921-8009(97)00136-5.
   Borjesson P, 2000, ENERG POLICY, V28, P575, DOI 10.1016/S0301-4215(00)00049-5.
   BORJESSON P, 2001, COMMUNICATION.
   Born P, 1996, J POLICY MODEL, V18, P217, DOI 10.1016/0161-8938(95)00069-0.
   Bullard C.W., 1978, RESOUR ENERG, V1, P267, DOI DOI 10.1016/0165-0572(78)90008-7.
   Cumberland J.H., 1973, PAPERS REGIONAL SCI, V30, P61.
   DIXON R, 1996, AUSTR EC REV, V3, P327.
   DUCHIN F, 1992, P NATL ACAD SCI USA, V89, P851, DOI 10.1073/pnas.89.3.851.
   Folk H., 1973, ENERGY DEMAND CONSER, P159.
   FORSUND FR, 1976, J ENVIRON ECON MANAG, V3, P129, DOI 10.1016/0095-0696(76)90027-9.
   FOSSDAL S, 1995, 173 NORW I BUILD RES.
   GIBBONS JC, 1982, RESOUR ENERG, V4, P203, DOI 10.1016/0165-0572(82)90012-3.
   GLORIA T, 2001, 581 MIN ENV EN, P76.
   Hamilton C, 1997, ECOL ECON, V21, P183, DOI 10.1016/S0921-8009(96)00102-4.
   Hendrickson C, 1998, ENVIRON SCI TECHNOL, V32, p184A, DOI 10.1021/es983471i.
   Hondo H., 2000, 4 INT C EC TSUK JAP, P181.
   Isard W., 1968, PAPERS REGIONAL SCI, V21, P79.
   ISARD W, 1967, 6 REG SCI RES I CAMB.
   Joshi S., 1999, J IND ECOL, V3, P95, DOI DOI 10.1162/108819899569449.
   KREITH F, 1990, ENERGY, V15, P1181, DOI 10.1016/0360-5442(90)90110-N.
   LANGE GM, 1998, ECON SYST RES, V10, P113.
   LAVE LB, 1995, ENVIRON SCI TECHNOL, V29, pA420, DOI 10.1021/es00009a003.
   LAVE LB, 1998, SAE TOTAL LIFE CYCL.
   Lenzen M, 2001, ECOL ECON, V37, P229, DOI 10.1016/S0921-8009(00)00275-5.
   Lenzen M, 1999, SOL ENERGY, V65, P353, DOI 10.1016/S0038-092X(99)00005-5.
   Lenzen M, 2000, ENERGY, V25, P577, DOI 10.1016/S0360-5442(99)00088-2.
   Lenzen M, 2001, ECON SYST RES, V13, P65, DOI {[}10.1080/09535310120026256, DOI 10.1080/09535310120026256].
   Lenzen M, 2000, J IND ECOL, V4, P127, DOI DOI 10.1162/10881980052541981.
   LENZEN M, 2001, IN PRESS J CLEANER P.
   LEONTIEF W, 1970, REV ECON STAT, V52, P262, DOI 10.2307/1926294.
   LEONTIEF W, 1971, C INP OUTP TECHN, P9.
   Moskowitz P. D., 1985, HLTH ENV RISK ASSESS, P281.
   MUNKSGAARD J, 2001, 581 MIN ENV EN, P33.
   {*}NATL GREENH GAS I, 1996, AUSTR METH EST GREEN.
   Nishimura K, 1997, ENERG CONVERS MANAGE, V38, pS589, DOI 10.1016/S0196-8904(97)00001-0.
   Nishimura K, 1996, ENERGY, V21, P1247, DOI 10.1016/0360-5442(96)00055-2.
   NORRIS G, 2001, 581 MIN ENV EN COP, P52.
   NORRIS GA, 1996, P SETAC 17 ANN M WAS.
   Pick E, 1998, BEITRAG KUMULIERTEN.
   PROOPS JLR, 1977, APPL MATH MODEL, V1, P181, DOI 10.1016/0307-904X(77)90003-8.
   SAITO T, 1993, 8 M COMM SOC SYST.
   SUH S, 2001, INPUT OUTPUT ANAL SH, P69.
   TONOOKA Y, 2000, 4 INT C EC TSUK JAP, P177.
   Treloar G., 1997, ECON SYST RES, V9, P375, DOI DOI 10.1080/09535319700000032.
   Treloar G.J., 2001, CONSTR MANAG EC, V19, P49, DOI DOI 10.1080/014461901452076.
   TRELOAR GJ, 2000, CONSTRUCT MANAG EC, V18, P5, DOI DOI 10.1080/014461900370898.
   WEBER C, 1995, UNTERSUCHUNGEN KEA P, P1218.
   WEBER FA, 1999, BESTIMMUNG KUMULIERT.
   WENZEL B, 1997, ENERGETISCHE INPUT O.
   WENZEL P, 1999, ENERGIEWIRTSCHAFT, V49, P432.
   Wier M, 1999, ECOL ECON, V30, P317, DOI 10.1016/S0921-8009(99)00004-X.
   Worrell E, 1997, ENERG POLICY, V25, P727, DOI 10.1016/S0301-4215(97)00064-5.
   YASUKAWA S, 1994, COMP ENERGY SOURCES, P139.
   YOKELL M, 1985, HLTH ENV RISK ASSESS, P208.}},
Number-of-Cited-References = {{60}},
Times-Cited = {{93}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{28}},
Journal-ISO = {{Energy Policy}},
Doc-Delivery-Number = {{529RF}},
Unique-ID = {{ISI:000174311800008}},
DA = {{2020-08-06}},
}

@article{ ISI:000174648700004,
Author = {Phillips, ID and McGregor, GR},
Title = {{The relationship between monthly and seasonal south-west England
   rainfall anomalies and concurrent North Atlantic sea surface
   temperatures}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2002}},
Volume = {{22}},
Number = {{2}},
Pages = {{197-217}},
Month = {{FEB}},
Abstract = {{This paper assesses the relationship between a regional index of
   rainfall (SWER) over Devon and Cornwall, South-west England, and
   concurrent gridded (5degrees x 5degrees) sea-surface temperature
   anomalies (SSTAs) for the North Atlantic-European domain (10-70degreesN,
   80degreesW-20degreesE) over the period 1950-97. Monthly and seasonal
   SSTA:SWER correlation fields are derived, and stepwise regression models
   are then constructed to specify SWER through SSTA variations. In
   particular, this paper emphasizes the importance of assessing all
   correlation matrices for field significance, an analysis stage that is
   often ignored by many researchers. The most temporally reproducible
   signal is found between depressed SSTs to the west of the British Isles
   and above-average rainfall over Devon and Cornwall, although this
   eastern Atlantic signal is by no means constant over time in terms of
   its location and spatial extent. Another distinctive feature of the
   anomaly correlation maps is for locally significant positive SSTA: SWER
   associations to emerge at high latitudes (60-70degreesN) in summer and
   early autumn, e.g. Davis Strait, Norwegian Sea. Field significance
   testing reveals that seasonal SSTA: SWER correlation fields arc
   statistically more robust than their monthly counterparts. This is
   demonstrated by the fact that the seasonal fields (excluding summer) all
   achieve field significance at the 0.1 level, whereas only five of the 12
   monthly fields (January, May, July, October and December) do so,
   suggesting that some of the locally significant SSTA: SWER correlations
   presented in this paper could have been obtained by merely correlating
   SWER with a random number series. Copyright (C) 2002 Royal
   Meteorological Society.}},
Publisher = {{JOHN WILEY \& SONS LTD}},
Address = {{BAFFINS LANE CHICHESTER, W SUSSEX PO19 1UD, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Phillips, ID (Corresponding Author), Univ Birmingham, Sch Geog 7 Environm Sci, Edgbaston, Birmingham B15 2TT, W Midlands, England.
   Univ Birmingham, Sch Geog 7 Environm Sci, Birmingham B15 2TT, W Midlands, England.}},
DOI = {{10.1002/joc.726}},
ISSN = {{0899-8418}},
Keywords = {{South-west England; rainfall; sea-surface temperatures; North
   Atlantic-European domain; field significance; locally significant
   correlation; stepwise regression}},
Keywords-Plus = {{ATMOSPHERIC CIRCULATION; PRECIPITATION; PREDICTION; OSCILLATION; EUROPE;
   TELECONNECTION; VARIABILITY; PRESSURE; EXTREMES; PATTERNS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
ORCID-Numbers = {{McGregor, Glenn/0000-0001-8487-2081}},
Cited-References = {{BARNSTON AG, 1994, J CLIMATE, V7, P1513, DOI 10.1175/1520-0442(1994)007<1513:LSSTCP>2.0.CO;2.
   Barnston AG, 1996, J CLIMATE, V9, P2660, DOI 10.1175/1520-0442(1996)009<2660:SAPOGS>2.0.CO;2.
   CAYAN DR, 1992, J CLIMATE, V5, P354, DOI 10.1175/1520-0442(1992)005<0354:LASHFA>2.0.CO;2.
   Colman A, 1999, INT J CLIMATOL, V19, P513, DOI 10.1002/(SICI)1097-0088(199904)19:5<513::AID-JOC370>3.0.CO;2-D.
   Colman A, 1997, INT J CLIMATOL, V17, P1285, DOI 10.1002/(SICI)1097-0088(199710)17:12<1285::AID-JOC198>3.0.CO;2-9.
   Doornkamp J. C., 1980, ATLAS DROUGHT BRITAI.
   DOUGLAS CKM, 1960, WEATHER, V15, P14.
   EBDON D, 1985, STAT GEOGRAPHY.
   FRAEDRICH K, 1992, INT J CLIMATOL, V12, P25, DOI 10.1002/joc.3370120104.
   HALPERT MS, 1992, J CLIMATE, V5, P577, DOI 10.1175/1520-0442(1992)005<0577:STPAWT>2.0.CO;2.
   HURRELL JW, 1995, SCIENCE, V269, P676, DOI 10.1126/science.269.5224.676.
   Jenkinson A. F., 1977, 62 MET OFF SYN CLIM.
   Johansson A, 1998, J ATMOS SCI, V55, P103, DOI 10.1175/1520-0469(1998)055<0103:OTLAOO>2.0.CO;2.
   Jones PD, 1998, INT J CLIMATOL, V18, P999, DOI 10.1002/(SICI)1097-0088(199807)18:9<999::AID-JOC300>3.0.CO;2-8.
   Kilsby CG, 1998, INT J CLIMATOL, V18, P523, DOI 10.1002/(SICI)1097-0088(199804)18:5\<523::AID-JOC268\>3.0.CO;2-X.
   Laita M, 1997, INT J CLIMATOL, V17, P475, DOI 10.1002/(SICI)1097-0088(199704)17:5<475::AID-JOC142>3.0.CO;2-F.
   Lamb H. H., 1972, GEOPHYSICAL MEMOIR, V116.
   LAMB HH, 1950, Q J ROY METEOR SOC, V76, P393, DOI 10.1002/qj.49707633005.
   LAMB PJ, 1987, B AM METEOROL SOC, V68, P1218, DOI 10.1175/1520-0477(1987)068<1218:NAOCAA>2.0.CO;2.
   LIVEZEY RE, 1983, MON WEATHER REV, V111, P46, DOI 10.1175/1520-0493(1983)111<0046:SFSAID>2.0.CO;2.
   Marshall J., 1997, WHITE PAPER ATLANTIC.
   MCILVEEN R, 1992, FUNDAMENTALS WEATHER.
   Mo KC, 2000, J CLIMATE, V13, P3588, DOI 10.1175/1520-0442(2000)013<3588:IOSSTA>2.0.CO;2.
   MURRAY R, 1969, METEOROL MAG, V98, P201.
   {*}ONS, 1999, REG TRENDS, V34.
   PALMER TN, 1993, B AM METEOROL SOC, V74, P49, DOI 10.1175/1520-0477(1993)074<0049:ERAPAT>2.0.CO;2.
   PALMER TN, 1995, WEATHER, V50, P413.
   PARKER DE, 1995, CLIMATE VARIABILITY.
   PENG SL, 1993, J CLIMATE, V6, P876, DOI 10.1175/1520-0442(1993)006<0876:ATSOIS>2.0.CO;2.
   Perry A, 1997, REGIONAL CLIMATES OF THE BRITISH ISLES, P47.
   Perry A. H., 1975, Weather, V30, P258.
   Phillips ID, 2001, J HYDROMETEOROL, V2, P505, DOI 10.1175/1525-7541(2001)002<0505:WEWVFS>2.0.CO;2.
   Phillips ID, 2001, THEOR APPL CLIMATOL, V69, P179, DOI 10.1007/s007040170024.
   PHILLIPS ID, 2000, THESIS U BIRMINGHAM.
   Phillips ID, 1998, METEOROL APPL, V5, P359, DOI {[}DOI 10.1017/S1350482798000899, 10.1017/S1350482798000899].
   RATCLIFF.RA, 1970, Q J ROY METEOR SOC, V96, P226, DOI 10.1002/qj.49709640806.
   Ratcliffe R. A. S., 1977, Weather, V32, P36.
   Rocha A, 1999, INT J CLIMATOL, V19, P889, DOI 10.1002/(SICI)1097-0088(19990630)19:8\<889::AID-JOC404\>3.0.CO;2-P.
   Rodionov SN, 1999, INT J CLIMATOL, V19, P951, DOI 10.1002/(SICI)1097-0088(199907)19:9<951::AID-JOC372>3.0.CO;2-J.
   SEMENYUK EA, 1984, P ALL UN RES I HYDR, V117, P5.
   SIMS FP, 1960, METEOROL MAG, V89, P293.
   Sutton RT, 2000, J CLIMATE, V13, P3261, DOI 10.1175/1520-0442(2000)013<3261:TEOCVI>2.0.CO;2.
   Thacker WC, 1997, INT J CLIMATOL, V17, P3, DOI 10.1002/(SICI)1097-0088(199701)17:1<3::AID-JOC97>3.0.CO;2-Q.
   Van Oldenborgh GJ, 2000, INT J CLIMATOL, V20, P565, DOI 10.1002/(SICI)1097-0088(200004)20:5\<565::AID-JOC488\>3.0.CO;2-5.
   WANNER H, 1995, THEOR APPL CLIMATOL, V51, P167, DOI 10.1007/BF00867443.
   Wilby RL, 1998, CLIMATE RES, V10, P163, DOI 10.3354/cr010163.
   WILBY RL, IN PRESS HYDROLOGICA.
   Wilks DS, 1995, STAT METHODS ATMOSPH.}},
Number-of-Cited-References = {{48}},
Times-Cited = {{27}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{29}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{535MR}},
Unique-ID = {{ISI:000174648700004}},
DA = {{2020-08-06}},
}

@article{ ISI:000174648700005,
Author = {Wedgbrow, CS and Wilby, RL and Fox, HR and O'Hare, G},
Title = {{Prospects for seasonal forecasting of summer drought and low river flow
   anomalies in England and Wales}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2002}},
Volume = {{22}},
Number = {{2}},
Pages = {{219-236}},
Month = {{FEB}},
Abstract = {{Future climate change scenarios suggest enhanced temporal and spatial
   gradients in water resources across the UK. Provision of seasonal
   forecast statistics for surface climate variables could alleviate some
   negative effects of climate change on water resource infrastructure.
   This paper presents a preliminary investigation of spatial and temporal
   relationships between large-scale North Atlantic climatic indices,
   drought severity and river flow anomalies in England and Wales.
   Potentially useful predictive relationships are explored between winter
   indices of the Polar-Eurasian (POL) teleconnection pattern, the North
   Atlantic oscillation (NAO), North Atlantic sea surface temperature
   anomalies (SSTAs), and the summer Palmer drought severity index (PDSI)
   and reconstructed river flows in England and Wales. Correlation
   analyses, coherence testing and an index of forecast potential,
   demonstrate that preceding winter values of the POL index, SSTA (and to
   a lesser extent the NAO), provide indications of summer and early autumn
   drought severity and river flow anomalies in parts of northwest,
   southwest and southeast England. Correlation analyses demonstrate that
   positive winter anomalies of T1, POL index and NAO index are associated
   with negative PDSI (i.e. drought) across eastern parts of the British
   Isles in summer (r < 0.51). Coherence tests show that a positive winter
   SSTA (1871 -1995) and POL index (1950-95) have preceded below-average
   summer river flows in the northwest and southwest of England and Wales
   in 70 to 100\% of summers. The same rivers have also experienced
   below-average flows during autumn following negative winter phases of
   the NAO index in 64 to 93\% of summers (1865-1995). Possible
   explanations for the predictor-predictand relationships are considered,
   including the `memory' of groundwater, and ocean-atmosphere coupling,
   and regional manifestations of synoptic rainfall processes. However,
   further research is necessary to increase the number of years and
   predictor variables from which it is possible to derive rules that may
   be useful for forecasting. Copyright (C) 2002 Royal Meteorological
   Society.}},
Publisher = {{JOHN WILEY \& SONS LTD}},
Address = {{BAFFINS LANE CHICHESTER, W SUSSEX PO19 1UD, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Wedgbrow, CS (Corresponding Author), Univ Derby, Div Geog, Kedleston Rd, Derby DE22 1GB, England.
   Univ Derby, Div Geog, Derby DE22 1GB, England.
   Kings Coll London, Dept Geog, London WC2R 2LS, England.}},
DOI = {{10.1002/joc.735}},
ISSN = {{0899-8418}},
Keywords = {{England and Wales; North Atlantic oscillation; Polar-Eurasian pattern;
   sea surface temperatures; Palmer drought severity index; seasonal
   forecasting; river flow; hydroclimatology}},
Keywords-Plus = {{NORTH-ATLANTIC OSCILLATION; SEVERITY INDEX; CLIMATE-CHANGE;
   PRECIPITATION; VARIABILITY; TEMPERATURE; PREDICTION; BRITAIN; MODELS;
   EUROPE}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{C.S.Wedgbrow@derby.ac.uk}},
Cited-References = {{ALLEY WM, 1984, J CLIM APPL METEOROL, V23, P1100, DOI 10.1175/1520-0450(1984)023<1100:TPDSIL>2.0.CO;2.
   Arnell NW, 1998, CLIMATIC CHANGE, V39, P83, DOI 10.1023/A:1005339412565.
   BARNSTON AG, 1987, MON WEATHER REV, V115, P1083, DOI 10.1175/1520-0493(1987)115<1083:CSAPOL>2.0.CO;2.
   Barnston AG, 1999, B AM METEOROL SOC, V80, P217, DOI 10.1175/1520-0477(1999)080<0217:PSOSAD>2.0.CO;2.
   BARNSTON AG, 1994, B AM METEOROL SOC, V75, P2097, DOI 10.1175/1520-0477(1994)075<2097:LLSFDW>2.0.CO;2.
   Benner TC, 1999, INT J CLIMATOL, V19, P391, DOI 10.1002/(SICI)1097-0088(19990330)19:4<391::AID-JOC365>3.0.CO;2-Z.
   Black AR, 1997, J HYDROL, V195, P1, DOI 10.1016/S0022-1694(96)03264-7.
   BRIFFA KR, 1994, INT J CLIMATOL, V14, P475, DOI 10.1002/joc.3370140502.
   Carson DJ, 1998, Q J ROY METEOR SOC, V124, P1.
   Colman A, 1999, INT J CLIMATOL, V19, P513, DOI 10.1002/(SICI)1097-0088(199904)19:5<513::AID-JOC370>3.0.CO;2-D.
   Colman A, 1997, INT J CLIMATOL, V17, P1285, DOI 10.1002/(SICI)1097-0088(199710)17:12<1285::AID-JOC198>3.0.CO;2-9.
   {*}CPC, 2000, MONTHL IND POL EUR T.
   Crane RG, 1998, INT J CLIMATOL, V18, P65, DOI 10.1002/(SICI)1097-0088(199801)18:1<65::AID-JOC222>3.0.CO;2-9.
   Dai A, 1998, GEOPHYS RES LETT, V25, P3367, DOI 10.1029/98GL52511.
   DETTINGER M, 1999, DECEMBER 1999 EXPT L, V8, P57.
   GILMAN D, 1985, B AM METEOROLOGICAL, V66, P155.
   GREGORY JM, 1991, INT J CLIMATOL, V11, P331.
   GUSTARD A, 1992, 108 I HYDR.
   Harrison MSJ, 1995, WEATHER, V50, P440.
   HEDDINGHAUS T, 1991, P 7 C APPL CLIM CLIM.
   HULME M, 1998, 1 UKCIP CLIM RES UN.
   HURRELL JW, 1995, SCIENCE, V269, P676, DOI 10.1126/science.269.5224.676.
   Johansson A, 1998, J ATMOS SCI, V55, P103, DOI 10.1175/1520-0469(1998)055<0103:OTLAOO>2.0.CO;2.
   Jones PD, 1997, INT J CLIMATOL, V17, P427, DOI 10.1002/(SICI)1097-0088(19970330)17:4<427::AID-JOC139>3.3.CO;2-H.
   JONES PD, 1984, J CLIMATOL, V4, P171, DOI 10.1002/joc.3370040206.
   Jones PD, 1998, INT J CLIMATOL, V18, P999, DOI 10.1002/(SICI)1097-0088(199807)18:9<999::AID-JOC300>3.0.CO;2-8.
   LAMB PJ, 1987, B AM METEOROL SOC, V68, P1218, DOI 10.1175/1520-0477(1987)068<1218:NAOCAA>2.0.CO;2.
   LIVEZEY RE, 1990, B AM METEOROL SOC, V71, P300, DOI 10.1175/1520-0477(1990)071<0300:VOSOLR>2.0.CO;2.
   Mao JP, 1998, J CLIMATE, V11, P1538, DOI 10.1175/1520-0442(1998)011<1538:SATSBA>2.0.CO;2.
   Marsh T. J., 1996, WEATHER, V51, P46.
   MARSH TJ, 1998, HYDROMETRIC REGISTER.
   MAWDSLEY J, 1992, 3 BHS I HYDR.
   Mayes J, 2000, GEOGR J, V166, P125, DOI 10.1111/j.1475-4959.2000.tb00013.x.
   MAYES J, 1998, WEATHER, V53, P2.
   Murphy SJ, 2001, INT J CLIMATOL, V21, P939, DOI 10.1002/joc.670.
   NAMAIS J, 1985, B AM METEOROLOGICAL, V66, P165.
   {*}NCAR, 1998, MONTHL GRIDD PALM DR.
   NIGAM S, 1999, EOS, V80, P625.
   Nigam S., 1999, EOS T AM GEOPHYS UN, V80, P621, DOI DOI 10.1029/99E000412.
   Palmer WC, 1965, 45 DEP COMM.
   Perry A, 2000, PROG PHYS GEOG, V24, P289, DOI 10.1177/030913330002400209.
   REDMOND KT, 1991, WATER RESOUR RES, V27, P2381, DOI 10.1029/91WR00690.
   Rodionov S, 1996, J CLIMATE, V9, P1816, DOI 10.1175/1520-0442(1996)009<1816:AKBSFT>2.0.CO;2.
   Rodwell MJ, 1999, NATURE, V398, P320, DOI 10.1038/18648.
   Solman SA, 1999, INT J CLIMATOL, V19, P835, DOI 10.1002/(SICI)1097-0088(19990630)19:8\<835::AID-JOC401\>3.0.CO;2-E.
   WIGLEY TML, 1984, J CLIMATOL, V4, P1, DOI 10.1002/joc.3370040102.
   WIGLEY TML, 1987, J CLIMATOL, V7, P231, DOI 10.1002/joc.3370070304.
   Wilby R. L., 1997, WEATHER, V52, P266, DOI DOI 10.1002/J.1477-8696.1997.TB06323.X.
   Wilby RL, 1998, CLIMATE RES, V10, P163, DOI 10.3354/cr010163.
   Wilby RL, 2001, J CHART INST WATER E, V15, P56.
   WILBY RL, RIVERS HDB, V3.
   Wilks DS, 1999, PROG PHYS GEOG, V23, P329, DOI 10.1177/030913339902300302.
   Wunsch C, 1999, B AM METEOROL SOC, V80, P245, DOI 10.1175/1520-0477(1999)080<0245:TIOSCR>2.0.CO;2.
   Zveryaev II, 1999, INT J CLIMATOL, V19, P1177, DOI 10.1002/(SICI)1097-0088(199909)19:11<1177::AID-JOC424>3.0.CO;2-4.}},
Number-of-Cited-References = {{54}},
Times-Cited = {{73}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{24}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{535MR}},
Unique-ID = {{ISI:000174648700005}},
DA = {{2020-08-06}},
}

@article{ ISI:000174466000013,
Author = {Cella, G},
Title = {{Interdependence and specialisation in the European Union: Intercountry
   input-output analysis and economic integration}},
Journal = {{JOURNAL OF REGIONAL SCIENCE}},
Year = {{2002}},
Volume = {{42}},
Number = {{1}},
Pages = {{182-184}},
Month = {{FEB}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Book Review}},
Language = {{English}},
Affiliation = {{Cella, G (Corresponding Author), Univ Naples Federico II, Naples, Italy.
   Univ Naples Federico II, Naples, Italy.}},
ISSN = {{0022-4146}},
EISSN = {{1467-9787}},
Research-Areas = {{Business \& Economics; Environmental Sciences \& Ecology; Public
   Administration}},
Web-of-Science-Categories  = {{Economics; Environmental Studies; Regional \& Urban Planning}},
Cited-References = {{FARE R, 1994, AM ECON REV, V84, P66.
   GOLLOP FM, 1987, REV INCOME WEALTH, P211.
   LAHR ML, 2001, REGIONAL SCI PERSPEC.
   VANDERLINDEN J, 2000, INTERDEPENDCE SPECIA.
   WOLFF EN, 1985, REV ECON STAT, V67, P268, DOI 10.2307/1924726.}},
Number-of-Cited-References = {{5}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Journal-ISO = {{J. Reg. Sci.}},
Doc-Delivery-Number = {{532GM}},
Unique-ID = {{ISI:000174466000013}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000179447900005,
Author = {Hu, Q and Feng, S},
Book-Group-Author = {{AMS
   AMS}},
Title = {{Multidecadal variations of ENSO teleconnection in the NCAR CCM3}},
Booktitle = {{13TH SYMPOSIUM ON GLOBAL CHANGE AND CLIMATE VARIATIONS}},
Year = {{2002}},
Pages = {{13-14}},
Note = {{13th Symposium on Global Change and Climate Variations, ORLANDO, FL, JAN
   13-17, 2002}},
Organization = {{Amer Meteorol Soc}},
Publisher = {{AMER METEOROLOGICAL SOCIETY}},
Address = {{45 BEACON ST, BOSTON, MA 02108 USA}},
Type = {{Proceedings Paper}},
Language = {{English}},
Affiliation = {{Hu, Q (Corresponding Author), Univ Nebraska, Climate \& Bioatmospher Sci Grp, Sch Nat Resource Sci, Lincoln, NE 68583 USA.
   Univ Nebraska, Climate \& Bioatmospher Sci Grp, Sch Nat Resource Sci, Lincoln, NE 68583 USA.}},
Keywords-Plus = {{COMMUNITY-CLIMATE-MODEL; CENTRAL UNITED-STATES; SUMMER RAINFALL}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Cited-References = {{Hack JJ, 1998, J CLIMATE, V11, P1179, DOI 10.1175/1520-0442(1998)011<1179:THATCO>2.0.CO;2.
   Hu Q, 2001, J CLIMATE, V14, P2469, DOI 10.1175/1520-0442(2001)014\<2469:VOTOEA\>2.0.CO;2.
   Hu Q, 2001, J CLIMATE, V14, P3156, DOI 10.1175/1520-0442(2001)014<3156:CROTSF>2.0.CO;2.
   Hurrell JW, 1998, J CLIMATE, V11, P1207, DOI 10.1175/1520-0442(1998)011<1207:TDSOTN>2.0.CO;2.
   Kiehl JT, 1998, J CLIMATE, V11, P1131, DOI 10.1175/1520-0442(1998)011<1131:TNCFAR>2.0.CO;2.}},
Number-of-Cited-References = {{5}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Doc-Delivery-Number = {{BV58M}},
Unique-ID = {{ISI:000179447900005}},
DA = {{2020-08-06}},
}

@article{ ISI:000177075900002,
Author = {Zhou, YS and Deng, G and Gao, ST and Xu, XD},
Title = {{The wave train characteristics of teleconnection caused by the thermal
   anomaly of the underlying surface of the Tibetan Plateau. Part I: Data
   analysis}},
Journal = {{ADVANCES IN ATMOSPHERIC SCIENCES}},
Year = {{2002}},
Volume = {{19}},
Number = {{4}},
Pages = {{583-593}},
Abstract = {{The effect of the thermal anomaly of the underlying surface of the
   Tibetan Plateau in the previous winter and spring on the precipitation
   over the middle and lower reaches of the Yangtze River (MRYR) in the
   subsequent summer was investigated. Through data analysis, the influence
   of ``strong signal{''} features of the three-dimensional thermal anomaly
   of the Plateau upon the precipitation anomaly over MRYR in the
   subsequent summer was revealed. This feature of the signal shows that
   from 0 cm to 320 cm under the surface of the ground, the soil
   temperature anomalies of the Tibetan Plateau manifest out of phase
   distribution in flood years and drought years over MRYR. In flood years
   over MRYR, there is a positive soil temperature anomaly in the region of
   the southern Tibetan Plateau (to the south of 30degreesN) and a negative
   anomaly in the region of the middle and northern Tibetan Plateau (to the
   north of 30degreesN), while in drought years the distribution of the
   soil temperature anomaly is opposite to the one in flood years. The
   maximum value of the soil temperature anomaly ties in the levels between
   40 cm and 160 cm under the surface of the ground. Meanwhile, the data
   analysis also shows that the general circulation in the Northern
   Hemisphere may respond to the thermal anomaly of the Tibetan Plateau and
   form the propagation of a low frequency wave train with a seasonal time
   scale, and this wave train may affect the precipitation over MRYR in the
   subsequent summer. Analyses reveal that the thermal anomaly of the
   underlying surface of the Tibetan Plateau in the previous winter and
   spring is one of the key, influencing factors for, the subsequent summer
   precipitation over MRYR.}},
Publisher = {{CHINA OCEAN PRESS}},
Address = {{INTERNATIONAL DEPT, 8 DA HUI SHI, BEIJING 100081, PEOPLES R CHINA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Zhou, YS (Corresponding Author), Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys \& Atm, Beijing 100029, Peoples R China.
   Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys \& Atm, Beijing 100029, Peoples R China.
   Chinese Acad Meteorol Sci, Beijing 100081, Peoples R China.}},
ISSN = {{0256-1530}},
Keywords = {{the Tibetan Plateau; thermal anomaly; the middle and lower reaches of
   the Yangtze River; (MRYR); precipitation anomaly}},
Keywords-Plus = {{SUMMER MONSOON}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Cited-References = {{Flohn H., 1968, 130 COL STAT U, P120.
   GAO ST, 1990, SCI CHINA SER B, V33, P704.
   GE XY, 2001, Q J APPL METEOROLOGY, V12, P159.
   HOREL JD, 1981, MON WEATHER REV, V109, P813, DOI 10.1175/1520-0493(1981)109<0813:PSAPAW>2.0.CO;2.
   HOSKINS BJ, 1993, J ATMOS SCI, V50, P1661, DOI 10.1175/1520-0469(1993)050<1661:RWPOAR>2.0.CO;2.
   HOSKINS BJ, 1981, J ATMOS SCI, V38, P1179, DOI 10.1175/1520-0469(1981)038<1179:TSLROA>2.0

license_type: permissive

branch_name: refs/heads/master

extension: bib