text:
same approach. We focus our attention on the
   way in which the balance equations constraining the system need to be
   modified. A numerical example is given to explain the model.}},
Publisher = {{TAYLOR \& FRANCIS LTD}},
Address = {{11 NEW FETTER LANE, LONDON EC4P 4EE, ENGLAND}},
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 = {{10.1080/00207540050205046}},
ISSN = {{0020-7543}},
Keywords-Plus = {{REQUIREMENTS}},
Research-Areas = {{Engineering; Operations Research \& Management Science}},
Web-of-Science-Categories  = {{Engineering, Industrial; Engineering, Manufacturing; Operations Research
   \& Management Science}},
Cited-References = {{BAHL HC, 1987, OPER RES, V35, P329, DOI 10.1287/opre.35.3.329.
   BOGATAJ L, 1997, INPUT OUTPUT ANAL LA.
   Grubbstrom R.W., 2000, ECON SYST RES, V12, P3, DOI DOI 10.1080/095353100111254.
   Grubbstrom RW, 1996, INT J PROD ECON, V46, P297, DOI 10.1016/0925-5273(95)00158-1.
   Grubbstrom RW, 1999, INT J PROD ECON, V60-1, P381, DOI 10.1016/S0925-5273(98)00141-8.
   GRUBBSTROM RW, 1992, INT J PROD ECON, V26, P311, DOI 10.1016/0925-5273(92)90081-H.
   Grubbstrom RW, 1999, INT J PROD ECON, V59, P361, DOI 10.1016/S0925-5273(98)00016-4.
   GRUBBSTROM RW, 1999, P 15 INT C PROD RES, V2, P435.
   ORLICKY J, 1975, MAT REQUIREMENT PLAN.
   SEGERSTEDT A, 1995, 13 PROFIL  PROD EC R.
   SILVER EA, 1985, DECISION SYSTEMS INV, P622.
   TANG O, 2000, PLANNING REPLANNING.}},
Number-of-Cited-References = {{12}},
Times-Cited = {{15}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{Int. J. Prod. Res.}},
Doc-Delivery-Number = {{382UX}},
Unique-ID = {{ISI:000165846400019}},
DA = {{2020-08-06}},
}

@article{ ISI:000168464100013,
Author = {Stilwell, LC and Minnittt, RCA},
Title = {{Input-output analysis: its potential application to the mining industry}},
Journal = {{JOURNAL OF THE SOUTH AFRICAN INSTITUTE OF MINING AND METALLURGY}},
Year = {{2000}},
Volume = {{100}},
Number = {{7}},
Pages = {{455-460}},
Month = {{NOV-DEC}},
Abstract = {{Input-output analysis is a major branch of quantitative economics, and
   is used to analyse the flow of goods and services between production
   sectors In a national economy. Its purpose is to determine the relative
   value-adding capacity of each sector. The model has also, in recent
   years, found increasing use in assessing the environmental and
   ecological impact of development projects. It has, however, never been
   applied to individual production facilities, such as large mines, which
   themselves have complex economic structures, through which there is a
   now of goods and services. Conventional cost and accounting systems, as
   used on mines, treat production sectors as separate cost centres, and do
   not determine the inter-relationships between them. This can lead to
   incorrect conclusions on the relative value of sectors and their impact
   on the total economic performance of the facility. This paper explains
   the basic principles of input-output analysis, and presents an example
   of its application to a simplistic model of a mine, which is used in the
   absence of any real data. The paper concludes that, by forcing
   definition of the value adding function of each sector, input output
   analysis will facilitate control of inputs, or costs. This will result
   in optimal application of resources and exploitation of ore reserves.
   The authors realise the model needs to be tested on an operating mine,
   and hope this paper will result in an opportunity to do so.
   The authors wish to thank the anonymous referees for their valuable
   comments.}},
Publisher = {{SOUTH AFRICAN INST MIN METALL}},
Address = {{PO BOX 61127 11-13 MACLAREN ST 13TH FLOOR-CAPE TOWERS, MARSHALLTOWN
   TRANSVAAL 2107, SOUTH AFRICA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Stilwell, LC (Corresponding Author), Allmine Projects CC, POB 14794, ZA-1518 Farrarmere, South Africa.
   Allmine Projects CC, ZA-1518 Farrarmere, South Africa.
   Univ Witwatersrand, Dept Min Engn, ZA-2050 Wits, South Africa.}},
ISSN = {{0038-223X}},
Research-Areas = {{Metallurgy \& Metallurgical Engineering; Mining \& Mineral Processing}},
Web-of-Science-Categories  = {{Metallurgy \& Metallurgical Engineering; Mining \& Mineral Processing}},
Cited-References = {{BARNA T, 1963, STRUCTURAL INTERDEPE.
   Chiang A.C, 1984, FUNDAMENTAL METHODS.
   CLEMENTS KW, 1994, MODELLING LARGE RESO.
   {*}DEP MIN EN, 1997, MIN MIN POL S AFR.
   KUHN G, 1997, INPUT OUTPUT ANAL SE.
   Leontief W., 1966, INPUT OUTPUT EC.
   LEONTIEF W, 1936, EV EC STAT.
   ROSE A, 1989, EC SYSTEMS RES, V1.
   ROSE A, 1995, STRUCTURAL CHANGE EC.
   SMITH A, 1976, ENQUIRY CAUSES EFFEC.
   Welsh F., 1998, HIST S AFRICA.}},
Number-of-Cited-References = {{11}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{J. S. Afr. Inst. Min. Metall.}},
Doc-Delivery-Number = {{428LX}},
Unique-ID = {{ISI:000168464100013}},
DA = {{2020-08-06}},
}

@article{ ISI:000165631400023,
Author = {van Loon, H and Labitzke, K},
Title = {{The influence of the 11-year solar cycle on the stratosphere below 30
   km: A review}},
Journal = {{SPACE SCIENCE REVIEWS}},
Year = {{2000}},
Volume = {{94}},
Number = {{1-2}},
Pages = {{259-278}},
Month = {{NOV}},
Abstract = {{The NCEP/NCAR re-analyses of the global data as high as 10hPa have made
   it possible to examine the influence of the 11-year sunspot cycle on the
   lower stratosphere over the entire globe. Previously, the signal of the
   solar cycle had been detected in the temperatures and heights of the
   stratosphere at 30hPa and below on the Northern Hemisphere by means of a
   data set from the Freie Universitat Berlin. The global re-analyses show
   that the signal exists on the Southern Hemisphere too, and that it is
   almost a mirror image of that on the Northern Hemisphere. The largest
   temperature correlations with the solar cycle move from one summer
   hemisphere to the other, and the largest height correlations move
   poleward within each hemisphere from winter to summer.
   The correlations are weakest over the whole globe in the northern
   winter. If, however, one divides the data into the winters when the
   equatorial Quasi-Biennial Oscillation was easterly or westerly, the
   arctic correlations become positive and large in the west years, but
   insignificantly small over the rest of the earth. The correlations in
   the east years are negative in the Arctic but positive in the subtropics
   and tropics on both hemispheres.
   The difference between the east and west years in January-February can
   be ascribed to the fact that the dominant stratospheric teleconnection
   and the solar influence work in the same direction in the east years but
   oppose each other in the west years.}},
Publisher = {{SPRINGER}},
Address = {{VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS}},
Type = {{Review}},
Language = {{English}},
Affiliation = {{van Loon, H (Corresponding Author), FUB, Inst Meteorol, CH Beckerweg 6-10, D-12165 Berlin, Germany.
   FUB, Inst Meteorol, D-12165 Berlin, Germany.
   Natl Ctr Atmospher Res, Boulder, CO 80307 USA.}},
DOI = {{10.1023/A:1026731625713}},
ISSN = {{0038-6308}},
EISSN = {{1572-9672}},
Keywords-Plus = {{SUNSPOT CYCLE; TROPOSPHERE; ASSOCIATION; SIGNAL}},
Research-Areas = {{Astronomy \& Astrophysics}},
Web-of-Science-Categories  = {{Astronomy \& Astrophysics}},
Author-Email = {{vanloon@ncar.ucar.edu
   labitzke@strat01.met.fu-berlin.de}},
Cited-References = {{FRITZ S, 1970, J ATMOS SCI, V27, P651.
   LABITZKE K, 1995, TELLUS A, V47, P275, DOI 10.1034/j.1600-0870.1995.t01-1-00008.x.
   Labitzke K, 1997, SPACE SCI REV, V80, P393.
   LABITZKE K, 1987, GEOPHYS RES LETT, V14, P535, DOI 10.1029/GL014i005p00535.
   LABITZKE K, 2000, UNPUB J ATMOSPHERIC, V62.
   Labitzke K. G., 1999, STRATOSPHERE PHENOME.
   SALBY M, 1999, IN PRESS J CLIM, V12.
   SHEA DJ, 1992, NCARTN368STR.
   Shindell D, 1999, SCIENCE, V284, P305, DOI 10.1126/science.284.5412.305.
   van Loon H, 1999, J ATMOS SOL-TERR PHY, V61, P53, DOI 10.1016/S1364-6826(98)00116-3.
   van Loon H, 1998, J CLIMATE, V11, P1529, DOI 10.1175/1520-0442(1998)011<1529:TGROTS>2.0.CO;2.
   van Loon H., 1994, Meteorologische Zeitschrift, V3, P259.
   VANLOON H, 1975, MON WEATHER REV, V103, P154, DOI 10.1175/1520-0493(1975)103<0154:OITWSP>2.0.CO;2.
   VANLOON H, 1990, J CLIMATE, V3, P827.}},
Number-of-Cited-References = {{14}},
Times-Cited = {{78}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{9}},
Journal-ISO = {{Space Sci. Rev.}},
Doc-Delivery-Number = {{379FM}},
Unique-ID = {{ISI:000165631400023}},
DA = {{2020-08-06}},
}

@article{ ISI:000089624000004,
Author = {Mock, CJ and Birkeland, KW},
Title = {{Snow avalanche climatology of the western United States mountain ranges}},
Journal = {{BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY}},
Year = {{2000}},
Volume = {{81}},
Number = {{10}},
Pages = {{2367-2392}},
Month = {{OCT}},
Abstract = {{The snow avalanche climate of the western United States has long been
   suspected to consist of three main climate zones that relate with
   different avalanche characteristics: coastal, intermountain, and
   continental. The coastal zone of the Pacific mountain ranges is
   characterized by abundant snowfall, higher snow densities, and higher
   temperatures. The continental zone of the Colorado Rockies is
   characterized by lower temperatures, lower snowfall, lower snow
   densities, higher snow temperature gradients, and a more persistently
   unstable snowpack resulting from depth hear. The inter mountain zone of
   Utah, Montana, and Idaho is intermediate between the other two zones. A
   quantitative analysis of snow avalanche climate of the region was
   conducted based on Westwide Avalanche Network data from 1969 to 1995. A
   binary avalanche climate classification, based on well-known thresholds
   and ranges of snowpack and climatic variables, illustrates the
   broadscale climatology of the three major zones, some spatially
   heterogeneous patterns, and variations with elevation. Widespread
   spatial shifts toward more coastal conditions occurred during 1985/86
   and 1991/92, and shifts toward more continental conditions occurred
   during 1976/77 and 1987/88. Height anomalies at 500 mb explain many of
   these shifts, but daily plots of climate and avalanche variables during
   seasonal extremes for sites in northern Utah also illustrate the
   importance of understanding snowpack and weather variations that occur
   at daily to weekly timescales. Data from several central Rocky Mountain
   sites indicate some relationships with the Pacific-North American
   teleconnection pattern and the Pacific decadal oscillation, illustrating
   the importance of applying long-term records in an avalanche hazard
   assessment.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Mock, CJ (Corresponding Author), Univ S Carolina, Dept Geog, Columbia, SC 29208 USA.
   Univ S Carolina, Dept Geog, Columbia, SC 29208 USA.
   Montana State Univ, Dept Earth Sci, Bozeman, MT 59717 USA.}},
DOI = {{10.1175/1520-0477(2000)081<2367:SACOTW>2.3.CO;2}},
ISSN = {{0003-0007}},
Keywords-Plus = {{EL-NINO; GLOBAL CLIMATE; PACIFIC; USA; PRECIPITATION; TELECONNECTIONS;
   TEMPERATURE; OSCILLATION; FORECASTS; PATTERNS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Cited-References = {{Akitaya E., 1974, CONTRIB I LOW TEMP S, VA26, P1.
   ARKIN PA, 1987, MON WEATHER REV, V115, P297, DOI 10.1175/1520-0493(1987)115<0297:SCSTGC>2.0.CO;2.
   ARMSTRONG BR, 1992, AVALANCHE BOOK.
   Armstrong RL, 1987, IAHS PUBLICATION, V162, P281.
   ARMSTRONG RL, 1981, 2 C MOUNT MET STEAMB, P386.
   ARMSTRONG RL, 1976, I ARCTIC ALPINE RES, V19, P131.
   BARNSTON AG, 1994, B AM METEOROL SOC, V75, P2097, DOI 10.1175/1520-0477(1994)075<2097:LLSFDW>2.0.CO;2.
   Barnston AG, 1999, B AM METEOROL SOC, V80, P1829, DOI 10.1175/1520-0477(1999)080<1829:NFOTEN>2.0.CO;2.
   BARRY RG, 1992, MOUNTAIN WEATHER CLI.
   BELL GD, 1994, J CLIMATE, V7, P1581, DOI 10.1175/1520-0442(1994)007<1581:TGCODP>2.0.CO;2.
   Birkeland KW, 1996, MT RES DEV, V16, P281, DOI 10.2307/3673951.
   Birkeland KW, 1998, ARCTIC ALPINE RES, V30, P193, DOI 10.2307/1552134.
   BJORNSSON H, 1980, J GLACIOL, V26, P13, DOI 10.3189/S0022143000201007.
   BUTLER DR, 1986, PHYSICAL GEOGR, V7, P72.
   CALONDER GP, 1986, THESIS U ZURICH.
   CARRARA PE, 1979, GEOL SOC AM BULL, V90, P773, DOI 10.1130/0016-7606(1979)90<773:TDOSAF>2.0.CO;2.
   Cayan DR, 1996, J CLIMATE, V9, P928, DOI 10.1175/1520-0442(1996)009<0928:ICVASI>2.0.CO;2.
   CHANGNON D, 1993, MON WEATHER REV, V121, P633, DOI 10.1175/1520-0493(1993)121<0633:ASPATR>2.0.CO;2.
   CONWAY H, 1998, P INT SNOW SCI WORKS, P466.
   DAVIS RE, 1996, P INT SNOW SCI WORKS, P14.
   DAVIS RED, 1998, P INT SNOW SCI WORKS, P25.
   DEXTER LR, 1981, THESIS NO ARIZONA U.
   DOESKEN NJ, 1996, SNOW BOOKLET.
   FERGUSON SA, 1990, J GLACIOL, V36, P57, DOI 10.3189/S0022143000005554.
   Fitzharris BB, 1987, ATMOS OCEAN, V25, P115, DOI 10.1080/07055900.1987.9649267.
   Fitzharris B. B., 1981, 956 DBR NAT RES COUN.
   FITZHARRIS BB, 1986, J CLIMATOL, V6, P431, DOI 10.1002/joc.3370060408.
   FOX TD, 1973, THESIS U WASHINGTON.
   Greer Deon C., 1981, ATLAS UTAH.
   Hachler P, 1987, INT ASS HYDROLOGICAL, V162, P295.
   JUDSON A, 1983, J GLACIOL, V29, P178, DOI 10.3189/S0022143000005232.
   JUDSON A, 1970, NATL RES COUNCIL CAN, V98, P123.
   Karl TR, 1996, B AM METEOROL SOC, V77, P279, DOI 10.1175/1520-0477(1996)077<0279:IOCCFT>2.0.CO;2.
   KLEIN WH, 1986, 3 INT C STAT CLIM, P527.
   KOUSKY VE, 1993, J CLIMATE, V6, P1639, DOI 10.1175/1520-0442(1993)006<1639:TGCODM>2.0.CO;2.
   LaChapelle E. R., 1966, INT ASS HYDROLOGICAL, P350.
   LATERNSER M, 1997, EUROPEAN PALAEOCLIMA, V12, P241.
   LEATHERS DJ, 1991, J CLIMATE, V4, P517, DOI 10.1175/1520-0442(1991)004<0517:TPATPA>2.0.CO;2.
   Mantua NJ, 1997, B AM METEOROL SOC, V78, P1069, DOI 10.1175/1520-0477(1997)078<1069:APICOW>2.0.CO;2.
   MARRIOTT RT, 1984, P INT SNOW SCI WORKS, P143.
   MASS CF, 1993, B AM METEOROL SOC, V74, P1901, DOI 10.1175/1520-0477(1993)074<1901:TAOCDR>2.0.CO;2.
   McCabe GJ, 1999, INT J CLIMATOL, V19, P1399, DOI 10.1002/(SICI)1097-0088(19991115)19:13\<1399::AID-JOC457\>3.0.CO;2-A.
   MCCABE GJ, 1995, INT J CLIMATOL, V15, P517, DOI 10.1002/joc.3370150504.
   MCCLUNG DM, 1993, AVALANCHE HDB.
   Mears A. I., 1992, COLORADO GEOLOGICAL, V49.
   MEARS AI, 1984, P INT SNOW SCI WORKS, P80.
   MEKO DM, 1984, J CLIM APPL METEOROL, V23, P889, DOI 10.1175/1520-0450(1984)023<0889:SVISIT>2.0.CO;2.
   MOCK CJ, 1995, PHYS GEOGR, V16, P165, DOI 10.1080/02723646.1995.10642548.
   Mock CJ, 1996, ARCTIC ALPINE RES, V28, P502, DOI 10.2307/1551861.
   MOCK CJ, 1992, PROF GEOGR, V44, P307, DOI 10.1111/j.0033-0124.1992.00307.x.
   Mock CJ, 1996, J CLIMATE, V9, P1111, DOI 10.1175/1520-0442(1996)009<1111:CCASVO>2.0.CO;2.
   NAMIAS J, 1978, MON WEATHER REV, V106, P279, DOI 10.1175/1520-0493(1978)106<0279:MCOTNA>2.0.CO;2.
   PERLA R, 1978, AGR HDB, V489.
   RANGACHARY N, 1987, IAHS PUBL, V162, P311.
   RASMUSSON EM, 1982, MON WEATHER REV, V110, P354, DOI 10.1175/1520-0493(1982)110<0354:VITSST>2.0.CO;2.
   ROCH A, 1949, 174 EIDG I SHNEE LAW.
   SALWAY AA, 1976, THESIS U BRIT COLUMB.
   Schneebeli M, 1997, ECLOGAE GEOL HELV, V90, P457.
   SMITH K, 1996, ENV HAZARDS.
   STURM M, 1995, J CLIMATE, V8, P1261, DOI 10.1175/1520-0442(1995)008<1261:ASSCCS>2.0.CO;2.
   VOIGHT B, 1990, SNOW AVALANCHE HAZAR.
   WAGNER AJ, 1977, MON WEATHER REV, V105, P553, DOI 10.1175/1520-0493(1977)105<0553:WACOJ>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.
   WANG B, 1995, J CLIMATE, V8, P267, DOI 10.1175/1520-0442(1995)008<0267:ICIENO>2.0.CO;2.
   Williams K, 1998, P INT SNOW SCI WORKS, P161.}},
Number-of-Cited-References = {{65}},
Times-Cited = {{66}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{10}},
Journal-ISO = {{Bull. Amer. Meteorol. Soc.}},
Doc-Delivery-Number = {{359QR}},
Unique-ID = {{ISI:000089624000004}},
DA = {{2020-08-06}},
}

@article{ ISI:000089782600003,
Author = {Eshel, G and Farrell, BF},
Title = {{Mechanisms of eastern Mediterranean rainfall variability}},
Journal = {{JOURNAL OF THE ATMOSPHERIC SCIENCES}},
Year = {{2000}},
Volume = {{57}},
Number = {{19}},
Pages = {{3219-3232}},
Month = {{OCT 1}},
Abstract = {{This paper presents a simple theory for the association between observed
   eastern Mediterranean (EM) rainfall anomalies and North Atlantic (NA)
   climate variability. Large-scale NA atmospheric mass rearrangements,
   primarily a modulation of the Icelandic low and the subtropical high
   pressure systems, tend to extend beyond the NA. A particularly strong
   such teleconnection exists between the northern NA and southern Europe
   and the Mediterranean Basin. Pressure anomalies over Greenland-Iceland
   are thus associated with reversed-polarity anomalies centered over the
   northern Adriatic, affecting the entire Mediterranean Basin; elevated
   Greenland pressure is accompanied by an anomalous cyclone over the
   Mediterranean, and a Mediterranean high pressure system is present when
   pressure over Greenland is reduced. In the EM, these anomalies result in
   anomalous southerlies during Greenland highs, and northerlies during
   Greenland lows. Eastern Mediterranean southerlies warm the EM, while
   northerlies cool locally. Because heat advection by horizontal and
   vertical motions dominate the EM thermodynamic equation (or, put
   differently, because thickness advection dominates the omega equation),
   cooling by northerly winds results in enhanced subsidence. Conversely,
   warming by anomalous EM southerlies produces enhanced ascent. These
   vertical motion anomalies modify the stability of the mean column,
   resulting in the observed EM rainfall anomalies.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Eshel, G (Corresponding Author), Univ Chicago, Dept Geophys Sci, 5734 S Ellis Ave, Chicago, IL 60637 USA.
   Univ Chicago, Dept Geophys Sci, Chicago, IL 60637 USA.
   Harvard Univ, Dept Earth \& Planetary Sci, Cambridge, MA 02138 USA.}},
DOI = {{10.1175/1520-0469(2000)057<3219:MOEMRV>2.0.CO;2}},
ISSN = {{0022-4928}},
Keywords-Plus = {{NORTH-ATLANTIC OSCILLATION; SEA-SURFACE TEMPERATURE; DECADAL CLIMATE
   VARIABILITY; LOW-FREQUENCY VARIABILITY; OCEAN; WINTER; PRECIPITATION;
   PREDICTABILITY; CIRCULATION; ANOMALIES}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Cited-References = {{BAKER CB, 1995, NINTH CONFERENCE ON APPLIED CLIMATOLOGY, P150.
   Battisti DS, 1995, J CLIMATE, V8, P3067, DOI 10.1175/1520-0442(1995)008<3067:AMSOTI>2.0.CO;2.
   Blade I, 1997, J CLIMATE, V10, P2087, DOI 10.1175/1520-0442(1997)010<2087:TIOMOA>2.0.CO;2.
   DASILVA A, 1994, 6 NOAA NESDIS.
   FRANKIGNOUL C, 1985, REV GEOPHYS, V23, P357, DOI 10.1029/RG023i004p00357.
   HOLTON JR, 1992, INT GEOPHYSICS SERIE, V48.
   HULME M, 1992, CLIM DYNAM, V7, P57, DOI 10.1007/BF00209609.
   HULME M, 1994, NATO ASI SERIES I, V26, P387.
   HURRELL JW, 1995, SCIENCE, V269, P676, DOI 10.1126/science.269.5224.676.
   Hurrell JW, 1997, CLIMATIC CHANGE, V36, P301, DOI 10.1023/A:1005314315270.
   Kalnay E, 1996, B AM METEOROL SOC, V77, P437, DOI 10.1175/1520-0477(1996)077<0437:TNYRP>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.
   Kushnir Y, 1999, NATURE, V398, P289, DOI 10.1038/18560.
   KUSHNIR Y, 1994, J CLIMATE, V7, P141, DOI 10.1175/1520-0442(1994)007<0141:IVINAS>2.0.CO;2.
   Latif M, 1996, J CLIMATE, V9, P2407, DOI 10.1175/1520-0442(1996)009<2407:DCVOTN>2.0.CO;2.
   LATIF M, 1994, SCIENCE, V266, P634, DOI 10.1126/science.266.5185.634.
   McCartney M, 1997, NATURE, V388, P521, DOI 10.1038/41438.
   MOLTENI F, 1993, Q J ROY METEOR SOC, V119, P269, DOI 10.1002/qj.49711951004.
   PHILIPS JL, 1982, THINK STAT.
   Rodwell MJ, 1999, NATURE, V398, P320, DOI 10.1038/18648.
   Rodwell MJ, 1996, Q J ROY METEOR SOC, V122, P1385, DOI 10.1256/smsqj.53407.
   Steinberger EH, 1996, J CLIMATE, V9, P3328, DOI 10.1175/1520-0442(1996)009<3328:RCITSD>2.0.CO;2.
   Trenberth KE, 1998, CLIM DYNAM, V14, P213, DOI 10.1007/s003820050219.
   VENZKE S, 1998, 255 M PLANCK I MET.
   WALLACE JM, 1990, J CLIMATE, V3, P990, DOI 10.1175/1520-0442(1990)003<0990:SPOAOI>2.0.CO;2.
   WALLACE JM, 1992, J CLIMATE, V5, P561, DOI 10.1175/1520-0442(1992)005<0561:SVDOWS>2.0.CO;2.
   Weng WJ, 1998, GEOPHYS RES LETT, V25, P167, DOI 10.1029/97GL03507.}},
Number-of-Cited-References = {{27}},
Times-Cited = {{95}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{13}},
Journal-ISO = {{J. Atmos. Sci.}},
Doc-Delivery-Number = {{362MW}},
Unique-ID = {{ISI:000089782600003}},
DA = {{2020-08-06}},
}

@article{ ISI:000089581200006,
Author = {Zheng, Y and van Geen, A and Anderson, RF and Gardner, JV and Dean, WE},
Title = {{Intensification of the northeast Pacific oxygen minimum zone during the
   Bolling-Allerod warm period}},
Journal = {{PALEOCEANOGRAPHY}},
Year = {{2000}},
Volume = {{15}},
Number = {{5}},
Pages = {{528-536}},
Month = {{OCT}},
Abstract = {{Although climate records from several locations around the world show
   nearly synchronous and abrupt changes, the nature of the inferred
   teleconnection is still poorly understood. On the basis of preserved
   laminations and molybdenum enrichments in open margin sediments we
   demonstrate that the oxygen content of northeast Pacific waters at 800 m
   depth during the Bolling-Allerod warm period (15-13 kyr) was greatly
   reduced. Existing oxygen isotopic records of benthic and planktonic
   foraminifera suggest that this was probably due to suppressed
   ventilation at higher latitudes of the North Pacific. Comparison with
   ventilation records for the North Atlantic indicates an antiphased
   pattern of convection relative to the North Pacific over the past 22
   kyr, perhaps due to variations in water vapor transport across Central
   America.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Zheng, Y (Corresponding Author), CUNY Queens Coll, Flushing, NY 11367 USA.
   Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY 10964 USA.
   US Geol Survey, Denver, CO 80225 USA.
   US Geol Survey, Menlo Pk, CA 94025 USA.}},
DOI = {{10.1029/1999PA000473}},
ISSN = {{0883-8305}},
EISSN = {{1944-9186}},
Keywords-Plus = {{CALIFORNIA CURRENT SYSTEM; SANTA-BARBARA BASIN; YOUNGER-DRYAS;
   NORTHWESTERN PACIFIC; INTERMEDIATE WATERS; OCEAN CIRCULATION;
   CLIMATE-CHANGE; ATLANTIC; SCALE; MOLYBDENUM}},
Research-Areas = {{Geology; Oceanography; Paleontology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary; Oceanography; Paleontology}},
Author-Email = {{yan\_zheng@qc.edu}},
ORCID-Numbers = {{ZHENG, Yan/0000-0001-5256-9395
   Anderson, Robert/0000-0002-8472-2494}},
Cited-References = {{ALLEY RB, 1993, NATURE, V362, P527, DOI 10.1038/362527a0.
   Behl RJ, 1996, NATURE, V379, P243, DOI 10.1038/379243a0.
   BROECKER WS, 1990, CLIM DYNAM, V4, P73, DOI DOI 10.1007/BF00208902.
   Bryden HL, 1996, J CLIMATE, V9, P3162, DOI 10.1175/1520-0442(1996)009<3162:DCIWMC>2.0.CO;2.
   Cannariato KG, 1999, GEOLOGY, V27, P975, DOI 10.1130/0091-7613(1999)027<0975:CRMSFI>2.3.CO;2.
   Clement A, 1999, J CLIMATE, V12, P3383, DOI 10.1175/1520-0442(1999)012<3383:CATTO>2.0.CO;2.
   Craig H., 1965, STABLE ISOTOPES OCEA, P9.
   Crusius J, 1996, EARTH PLANET SC LETT, V145, P65, DOI 10.1016/S0012-821X(96)00204-X.
   Dean WE, 1997, GEOCHIM COSMOCHIM AC, V61, P4507, DOI 10.1016/S0016-7037(97)00237-8.
   EMERSON SR, 1991, MAR CHEM, V34, P177, DOI 10.1016/0304-4203(91)90002-E.
   Fairbanks RG, 1990, PALEOCEANOGRAPHY, V5, P937, DOI 10.1029/PA005i006p00937.
   FRANCOIS R, 1988, MAR GEOL, V83, P285, DOI 10.1016/0025-3227(88)90063-1.
   GANESHRAM R, 1996, THESIS U BRIT COLUMB.
   Gardner JV, 1997, PALEOCEANOGRAPHY, V12, P207, DOI 10.1029/96PA03567.
   Gorbarenko SA, 1996, QUATERNARY RES, V46, P230, DOI 10.1006/qres.1996.0063.
   GUILDERSON TP, 1994, SCIENCE, V263, P663, DOI 10.1126/science.263.5147.663.
   Helz GR, 1996, GEOCHIM COSMOCHIM AC, V60, P3631, DOI 10.1016/0016-7037(96)00195-0.
   KALLEL N, 1988, OCEANOL ACTA, V11, P369.
   Keigwin LD, 1990, PALEOCEANOGRAPHY, V5, P1009, DOI 10.1029/PA005i006p01009.
   KEIGWIN LD, 1992, EARTH PLANET SC LETT, V111, P425, DOI 10.1016/0012-821X(92)90194-Z.
   KEIGWIN LD, 1987, NATURE, V330, P362, DOI 10.1038/330362a0.
   KEIL R, 1999, EOS T AGU S, V80.
   KENNETT JP, 1995, NATURE, V377, P510, DOI 10.1038/377510a0.
   Kroon D, 1997, PALEOCEANOGRAPHY, V12, P755, DOI 10.1029/97PA02289.
   KUTZBACH JE, 1988, SCIENCE, V241, P1043.
   LEVITUS S, 1994, WORLD OCEAN ATLAS, V2.
   Lund DC, 1998, PALEOCEANOGRAPHY, V13, P10, DOI 10.1029/97PA02984.
   Lyle M, 1992, PALEOCEANOGRAPHY, V7, P251, DOI 10.1029/92PA00696.
   LYNN RJ, 1987, J GEOPHYS RES-OCEANS, V92, P12947, DOI 10.1029/JC092iC12p12947.
   Marchitto TM, 1998, NATURE, V393, P557, DOI 10.1038/31197.
   Mikolajewicz U, 1997, NATURE, V387, P384, DOI 10.1038/387384a0.
   Mix AC, 1999, GEOPH MONOG SERIES, V112, P127.
   NAMEROFF TJ, 1996, THESIS U WASH SEATTL.
   OHKOUCHI N, 1994, EARTH PLANET SC LETT, V124, P185, DOI 10.1016/0012-821X(94)00082-4.
   ONEIL JR, 1969, J CHEM PHYS, V51, P5547, DOI 10.1063/1.1671982.
   PAROPKARI A, 1999, EOS T AGU, V80.
   Peteet DM, 1994, ECOSCIENCE, V1, P255, DOI 10.1080/11956860.1994.11682250.
   RAHMSTORF S, 1995, NATURE, V378, P145, DOI 10.1038/378145a0.
   SHAW TJ, 1990, GEOCHIM COSMOCHIM AC, V54, P1233, DOI 10.1016/0016-7037(90)90149-F.
   SHIMMIELD GB, 1986, MAR CHEM, V19, P261, DOI 10.1016/0304-4203(86)90027-7.
   TALLEY LD, 1993, J PHYS OCEANOGR, V23, P517, DOI 10.1175/1520-0485(1993)023<0517:DAFONP>2.0.CO;2.
   Taylor SR, 1985, CONTINENTAL CRUST IT.
   VANGEEN A, 1995, PALEOCEANOGRAPHY, V10, P159, DOI 10.1029/94PA03352.
   VANSCOY KA, 1993, J GEOPHYS RES-OCEANS, V98, P18083, DOI 10.1029/93JC01797.
   Weyl P. K., 1968, METEOROL MONOGR, V8, P37.
   Wong APS, 1999, NATURE, V400, P440.
   WYRTKI K, 1962, DEEP-SEA RES, V9, P11, DOI 10.1016/0011-7471(62)90243-7.
   Zahn R, 1991, PALEOCEANOGRAPHY, V6, P543, DOI 10.1029/91PA01327.
   ZHENG Y, 2000, IN PRESS GEOCHIM COS.
   ZHENG Y, 1999, THESIS COLUMBIA U NE.}},
Number-of-Cited-References = {{50}},
Times-Cited = {{80}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{10}},
Journal-ISO = {{Paleoceanography}},
Doc-Delivery-Number = {{358WY}},
Unique-ID = {{ISI:000089581200006}},
DA = {{2020-08-06}},
}

@article{ ISI:000089940900006,
Author = {Konrad, C and Bichler, B and Lorber, K and Marquez, F},
Title = {{Input/output analysis at a Chilean tannery}},
Journal = {{JOURNAL OF THE SOCIETY OF LEATHER TECHNOLOGISTS AND CHEMISTS}},
Year = {{2000}},
Volume = {{84}},
Number = {{5}},
Pages = {{223-226}},
Month = {{SEP-OCT}},
Abstract = {{Due to the high content of pollutants in their output. streams tanneries
   have a negative environmental impact. A high content of organic matter
   (BOD5 and COD) sulphide and chrome bearing effluents and a high quantity
   of organic solid waste characterise the output streams of a tannery. In
   developing countries-where chrome tanning is the prevailing technology
   and effluent and waste treatment is only rarely practised tanneries
   represent a great environmental problem.
   As part of the European Community INCO-DC project ``EILT{''} (Reduction
   of Environmental Impacts of Leather Tanneries) an extensive input/output
   analysis was carried out at the Chilean tannery GACEL S.A.
   On the one hand the actual resource consumption and generation of solid
   waste and effluents could be quantified. per ton of wet salted hide
   (t(WSH)) the base of this work-about 500 kg of chemicals and 62 m(3) of
   fresh water are consumed. From this ton of input material 187 kg of
   grain leather and 89 kg of split leather are produced, about 109 kg of
   split are sold in the wet blue stage. 734 kg of solid waste (chromium
   containing and non-chromium containing) are generated and about 57 m(3)
   of effluent are discharged.
   This input/output analysis was the basis of pollution prevention
   opportunities which have been developed. Stress was put on ``simple and
   economic{''} opportunities which can be implemented in the prevailing
   difficult economic situation.
   These suggestions deal with the extensive fresh water consumption (reuse
   of rinsing waters; counter current rinsing; changing of paddle
   technology to drum technology in the beamhouse) and the treatment of the
   highly contaminated effluent streams (implementation of a screen to
   reduce the high BOD5 and COD value, start-up of the existing sulphide
   treatment plant). In regard to solid waste, biological treatment of the
   non-chromium containing fraction was suggested. This measure would
   reduce the quantity of solid waste by about 75\%.
   However, implementation of the suggestions made by the INCO-DC working
   group will still take time and will depend on the impact of legal
   restrictions and an active interest in reducing environmental impact.}},
Publisher = {{SOC LEATHER TECHNOL CHEMISTS}},
Address = {{38 ROSEHOLME RD, NORTHAMPTON, NORTHANTS, ENGLAND NN1 4TQ}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Konrad, C (Corresponding Author), Montanuniv Leoben, Inst Entsorgungs \& Deponietech, Peter Tunner Str 15, A-8700 Leoben, Austria.
   Montanuniv Leoben, Inst Entsorgungs \& Deponietech, A-8700 Leoben, Austria.
   Fac Ingn, Dept Ingn Quim, Concepcion, Chile.}},
ISSN = {{0144-0322}},
Research-Areas = {{Materials Science}},
Web-of-Science-Categories  = {{Materials Science, Textiles}},
ORCID-Numbers = {{Marquez, Fernando/0000-0003-0304-2102}},
Cited-References = {{ANDRES H, 1991, BRANCHENKONZEPT LEDE.
   {*}UNIDO UNEP, 1991, UNIDO UNEP TECHN REP, V7, P15.}},
Number-of-Cited-References = {{2}},
Times-Cited = {{5}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{J. Soc. Leather Technol. Chem.}},
Doc-Delivery-Number = {{365FW}},
Unique-ID = {{ISI:000089940900006}},
DA = {{2020-08-06}},
}

@article{ ISI:000089915100009,
Author = {Terray, L and Cassou, C},
Title = {{Modes of low-frequency climate variability and their relationships with
   land precipitation and surface temperature: application to the Northern
   Hemisphere winter climate}},
Journal = {{STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT}},
Year = {{2000}},
Volume = {{14}},
Number = {{4-5}},
Pages = {{339-369}},
Month = {{SEP}},
Note = {{13th Jacques Cartier Conference on Climate Variability - Seasonal
   Forecast for Optimal Management of Water Resources, MONTREAL, CANADA,
   OCT 03-05, 2000}},
Organization = {{Hydro Quebec; Jacques Cartier Ctr; Univ Montreal; INRS Eau; CEMAGREF}},
Abstract = {{Variations in the Earth's climate have had considerable impact on
   society sectors such as energy, agriculture, fisheries, water resources,
   and environmental quality. This natural climate variability must be
   documented and understood in order to assess its potential impacts, its
   predictability and relationships with human-induced changes.
   Understanding the mechanisms responsible for natural variability
   proceeds through a strategy based on the use of a hierarchy of climate
   models and careful data analysis. In this paper, we examine primarily
   climate fluctuations on interannual-to-decadal time scales and their
   climate signature in terms of precipitation and temperature. First,
   space and time characteristics of two of the major variability modes,
   the Southern Oscillation (and its associated teleconnection patterns)
   and the North Atlantic Oscillation, are documented with a focus onto the
   midlatitudes of the Northern Hemisphere. Then, the current hypothesis
   regarding the nature of these modes (forced, coupled or internal) are
   reviewed based on both simulation results and statistical data analyses.
   Next, we address the potential predictability of seasonal surface
   temperature and land precipitation using an ensemble of atmospheric
   model simulations forced by observed sea surface temperatures. Finally,
   we review the relationships between the atmospheric variability modes
   and the recent low-frequency trends and suggest a possible influence of
   anthropogenic effects on these low-frequency variations.}},
Publisher = {{SPRINGER}},
Address = {{ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES}},
Type = {{Article; Proceedings Paper}},
Language = {{English}},
Affiliation = {{Terray, L (Corresponding Author), CERFACS, Climate Modelling \& Global Change Project, 42 Ave Gaspard Coriolis, F-31057 Toulouse, France.
   CERFACS, Climate Modelling \& Global Change Project, F-31057 Toulouse, France.}},
DOI = {{10.1007/s004770000054}},
ISSN = {{1436-3240}},
EISSN = {{1436-3259}},
Keywords-Plus = {{ATLANTIC OSCILLATION; SOUTHERN OSCILLATION; SIMPLE PARAMETERIZATION;
   GEOPOTENTIAL HEIGHT; CIRCULATION; PATTERNS; PREDICTABILITY; PRESSURE;
   EUROPE; OCEAN}},
Research-Areas = {{Engineering; Environmental Sciences \& Ecology; Mathematics; Water
   Resources}},
Web-of-Science-Categories  = {{Engineering, Environmental; Engineering, Civil; Environmental Sciences;
   Statistics \& Probability; Water Resources}},
ResearcherID-Numbers = {{Kushnir, Yochanan/B-4472-2013
   CASSOU, Christophe/AAP-6409-2020
   Terray, Laurent/B-8056-2008}},
ORCID-Numbers = {{Terray, Laurent/0000-0001-5512-7074}},
Cited-References = {{Appenzeller C, 1998, GEOPHYS RES LETT, V25, P1939, DOI 10.1029/98GL01227.
   BARNSTON AG, 1987, MON WEATHER REV, V115, P1083, DOI 10.1175/1520-0493(1987)115<1083:CSAPOL>2.0.CO;2.
   BJERKNES J, 1969, MON WEATHER REV, V97, P163, DOI 10.1175/1520-0493(1969)097<0163:ATFTEP>2.3.CO;2.
   Bjerknes J., 1964, ADV GEOPHYS, V10, P1, DOI DOI 10.1016/S0065-2687(08)60005-9.
   BOUGEAULT P, 1985, MON WEATHER REV, V113, P2108, DOI 10.1175/1520-0493(1985)113<2108:ASPOTL>2.0.CO;2.
   BRETHERTON CS, 1992, J CLIMATE, V5, P541, DOI 10.1175/1520-0442(1992)005<0541:AIOMFF>2.0.CO;2.
   CASSOU C, 2000, IN PRESS J CLIMATE.
   CHENG XH, 1993, J ATMOS SCI, V50, P2674, DOI 10.1175/1520-0469(1993)050<2674:CAOTNH>2.0.CO;2.
   Cook ER, 1998, HOLOCENE, V8, P9, DOI 10.1191/095968398677793725.
   Corti S, 1999, NATURE, V398, P799, DOI 10.1038/19745.
   CULLEN HM, 1999, IN PRESS INT J CLIMA.
   Davies JR, 1997, INT J CLIMATOL, V17, P1263, DOI 10.1002/(SICI)1097-0088(199710)17:12<1263::AID-JOC191>3.0.CO;2-1.
   DESER C, 1993, J CLIMATE, V6, P1743, DOI 10.1175/1520-0442(1993)006<1743:SCVOTN>2.0.CO;2.
   Dettinger M. D., 1995, EOS T AM GEOPHYS UN, V76, P12, DOI DOI 10.1029/EO076I002P00012.
   Dettinger MD, 1995, EOS T AM GEOPHYS UN, V76, P4.
   Dettinger MD, 1995, EOS T AM GEOPHYS UN, V76, P21.
   DUNBAR RB, 1994, PALEOCEANOGRAPHY, V9, P291, DOI 10.1029/93PA03501.
   FRAEDRICH K, 1994, TELLUS A, V46, P541, DOI 10.1034/j.1600-0870.1994.00015.x.
   Grotzner A, 1998, J CLIMATE, V11, P831, DOI 10.1175/1520-0442(1998)011<0831:ADCCIT>2.0.CO;2.
   HALPERT MS, 1992, J CLIMATE, V5, P577, DOI 10.1175/1520-0442(1992)005<0577:STPAWT>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.
   HULME M, 1992, CLIM DYNAM, V7, P57, DOI 10.1007/BF00209609.
   Hurrell JW, 1996, GEOPHYS RES LETT, V23, P665, DOI 10.1029/96GL00459.
   HURRELL JW, 1995, SCIENCE, V269, P676, DOI 10.1126/science.269.5224.676.
   Hurrell JW, 1997, CLIMATIC CHANGE, V36, P301, DOI 10.1023/A:1005314315270.
   Jones PD, 1987, CLIM DYNAM, V1, P63, DOI 10.1007/BF01054476.
   Jones PD, 1997, INT J CLIMATOL, V17, P1433, DOI 10.1002/(SICI)1097-0088(19971115)17:13<1433::AID-JOC203>3.0.CO;2-P.
   JONES PD, 1994, J CLIMATE, V7, P1794, DOI 10.1175/1520-0442(1994)007<1794:HSATVA>2.0.CO;2.
   JONES PD, 1986, J CLIM APPL METEOROL, V25, P161, DOI 10.1175/1520-0450(1986)025<0161:NHSATV>2.0.CO;2.
   Kalnay E, 1996, B AM METEOROL SOC, V77, P437, DOI 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2.
   Kiladis GN, 1989, J CLIMATE, V2, P1069, DOI 10.1175/1520-0442(1989)002<1069:GCAAWE>2.0.CO;2.
   Lamb PJ, 1991, W AFRICA TELECONNECT, P121.
   Louis J., 1982, P ECMWF WORKSH PLAN, P59.
   Mann ME, 1996, CLIMATIC CHANGE, V33, P409, DOI 10.1007/BF00142586.
   MARSHALL J, 1993, J ATMOS SCI, V50, P1792, DOI 10.1175/1520-0469(1993)050<1792:TADUOP>2.0.CO;2.
   Martineu C, 1999, J CLIMATE, V12, P3033, DOI 10.1175/1520-0442(1999)012<3033:PPOEWF>2.0.CO;2.
   MORCRETTE JJ, 1990, MON WEATHER REV, V118, P847, DOI 10.1175/1520-0493(1990)118<0847:IOCTTR>2.0.CO;2.
   NOILHAN J, 1989, MON WEATHER REV, V117, P536, DOI 10.1175/1520-0493(1989)117<0536:ASPOLS>2.0.CO;2.
   Parker DE, 1995, CLIMATIC CHANGE, V31, P559, DOI 10.1007/BF01095162.
   Peng SL, 1999, J CLIMATE, V12, P1393, DOI 10.1175/1520-0442(1999)012<1393:MDTART>2.0.CO;2.
   PERLWITZ J, 1995, J CLIMATE, V8, P2281, DOI 10.1175/1520-0442(1995)008<2281:TSCBTA>2.0.CO;2.
   QUIROZ RS, 1983, MON WEATHER REV, V111, P1685, DOI 10.1175/1520-0493(1983)111<1685:TCOTNW>2.0.CO;2.
   RAYNER NA, 1995, CK FOLLAND WAD C GLO.
   ROGERS JC, 1984, MON WEATHER REV, V112, P1999, DOI 10.1175/1520-0493(1984)112<1999:TABTNA>2.0.CO;2.
   ROGERS JC, 1990, J CLIMATE, V3, P1364, DOI 10.1175/1520-0442(1990)003<1364:POLFMS>2.0.CO;2.
   ROPELEWSKI CF, 1987, MON WEATHER REV, V115, P2161, DOI 10.1175/1520-0493(1987)115<2161:AEOTTS>2.0.CO;2.
   Rowell DP, 1998, J CLIMATE, V11, P109, DOI 10.1175/1520-0442(1998)011<0109:APSPWA>2.0.CO;2.
   Shindell DT, 1999, NATURE, V399, P452, DOI 10.1038/20905.
   Stephenson DB, 2000, INT J CLIMATOL, V20, P1.
   Sutton RT, 1997, NATURE, V388, P563, DOI 10.1038/41523.
   Thompson DWJ, 2000, J CLIMATE, V13, P1018, DOI 10.1175/1520-0442(2000)013<1018:AMITEC>2.0.CO;2.
   Thompson DWJ, 2000, J CLIMATE, V13, P1000, DOI 10.1175/1520-0442(2000)013<1000:AMITEC>2.0.CO;2.
   Thompson DWJ, 1998, GEOPHYS RES LETT, V25, P1297, DOI 10.1029/98GL00950.
   THOMSON DJ, 1982, P IEEE, V70, P1055, DOI 10.1109/PROC.1982.12433.
   TRENBERTH KE, 1987, MON WEATHER REV, V115, P3078, DOI 10.1175/1520-0493(1987)115<3078:OTEOTS>2.0.CO;2.
   TRENBERTH KE, 1994, CLIM DYNAM, V9, P303, DOI 10.1007/BF00204745.
   VANLOON H, 1978, MON WEATHER REV, V106, P296, DOI 10.1175/1520-0493(1978)106<0296:TSIWTB>2.0.CO;2.
   VANLOON H, 1981, MON WEATHER REV, V109, P1150, DOI 10.1175/1520-0493(1981)109<1150:TSOPIG>2.0.CO;2.
   VAUTARD R, 1992, PHYSICA D, V58, P95, DOI 10.1016/0167-2789(92)90103-T.
   Walker G.T., 1932, Memoirs of the Royal Meteorological Society, V4, P53.
   Walker G. T., 1924, MEM INDIA METEOR DEP, V24, P275.
   WALLACE JM, 1981, MON WEATHER REV, V109, P784, DOI 10.1175/1520-0493(1981)109<0784:TITGHF>2.0.CO;2.
   Wunsch C, 1999, B AM METEOROL SOC, V80, P245, DOI 10.1175/1520-0477(1999)080<0245:TIOSCR>2.0.CO;2.}},
Number-of-Cited-References = {{63}},
Times-Cited = {{11}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{4}},
Journal-ISO = {{Stoch. Environ. Res. Risk Assess.}},
Doc-Delivery-Number = {{364VU}},
Unique-ID = {{ISI:000089915100009}},
DA = {{2020-08-06}},
}

@article{ ISI:000166779900006,
Author = {Chen, H and Shen, XY},
Title = {{Strong approximations for multiclass feedforward queueing networks}},
Journal = {{ANNALS OF APPLIED PROBABILITY}},
Year = {{2000}},
Volume = {{10}},
Number = {{3}},
Pages = {{828-876}},
Month = {{AUG}},
Abstract = {{This paper derives the strong approximation for a muiticlass queueing
   network, where jobs after service completion can only move to a
   downstream service station. Job classes are partitioned into groups.
   Within a group, jobs are served in the order of arrival; that is, a
   first-in first-out (FIFO) discipline is in force, and among groups, jobs
   are served under a preassigned preemptive priority discipline. We obtain
   the strong approximation for the network through an inductive
   application of an input-output analysis for a single-station queue.
   Specifically, we show that if the input data (i.e., the arrival and the
   service processes) satisfy an approximation (such as the functional
   law-of-iterated logarithm approximation or the strong approximation),
   then the output data (i.e., the departure processes) and the performance
   measures (such as the queue length, the workload and the sojourn time
   processes) satisfy a similar approximation Based on the strong
   approximation, some procedures are proposed to approximate the
   stationary distribution of various performance measures of the queueing
   network. Our work extends and complements the existing work of Peterson
   and Harrison and Williams on the feedforward queueing network. The
   numeric examples show that strong approximation provides a better
   approximation than that suggested by a straightforward interpretation of
   the heavy traffic limit theorem.}},
Publisher = {{INST MATHEMATICAL STATISTICS}},
Address = {{IMS BUSINESS OFFICE-SUITE 7, 3401 INVESTMENT BLVD, HAYWARD, CA 94545 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Chen, H (Corresponding Author), Univ British Columbia, Fac Commerce \& Business Adm, 2053 Main Mall, Vancouver, BC V6T 1Z2, Canada.
   Univ British Columbia, Fac Commerce \& Business Adm, Vancouver, BC V6T 1Z2, Canada.}},
ISSN = {{1050-5164}},
Keywords = {{multiclass queueing network; diffusion approximations; fluid
   approximations; heavy traffic; reflected Brownian motion and strong
   approximation}},
Keywords-Plus = {{STOCHASTIC NETWORKS}},
Research-Areas = {{Mathematics}},
Web-of-Science-Categories  = {{Statistics \& Probability}},
Cited-References = {{Billingsley P., 1968, CONVERGENCE PROBABIL.
   Chen H., 1994, STOCHASTIC MODELING, P107.
   Chen H, 1996, ANN APPL PROBAB, V6, P758.
   Csorgo M., 1993, WEIGHTED APPROXIMATI.
   Dai J. G., 1992, ANN APPL PROBAB, V2, P65, DOI DOI 10.1214/aoap/1177005771.
   FENDICK KW, 1989, IEEE T COMMUN, V37, P1173, DOI 10.1109/26.46511.
   GLYNN PW, 1990, HDB OR MS, V2, P145.
   Harrison J. M., 1993, Queueing Systems Theory and Applications, V13, P5, DOI 10.1007/BF01158927.
   HARRISON JM, 1992, ANN APPL PROBAB, V2, P263.
   HARRISON JM, 1985, BROWNIAN MOTION STOC.
   HORVATH L, 1990, MATH OPER RES, V17, P487.
   Kleinrock L, 1976, QUEUEING SYSTEMS, V2.
   LEMOINE AJ, 1978, MANAGE SCI, V24, P1175, DOI 10.1287/mnsc.24.11.1175.
   Mandelbaum A, 1998, QUEUEING SYST, V30, P149, DOI 10.1023/A:1019112920622.
   Mandelbaum A, 1998, ANN APPL PROBAB, V8, P569.
   MANDELBAUM A, 1995, MATH OPER RES, V20, P33, DOI 10.1287/moor.20.1.33.
   PETERSON WP, 1991, MATH OPER RES, V16, P90, DOI 10.1287/moor.16.1.90.
   SHEN X, 2000, THESIS U BRIT COLUMB.
   WHITT W, 1980, MATH OPER RES, V5, P67, DOI 10.1287/moor.5.1.67.
   WILLIAMS RJ, 1996, STOCHASTIC NETWORKS, P35.
   ZHANG H, 1990, J APPL PROBAB, V28, P658.
   Zhang HQ, 1997, ADV APPL PROBAB, V29, P498, DOI 10.2307/1428014.}},
Number-of-Cited-References = {{22}},
Times-Cited = {{15}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{1}},
Journal-ISO = {{Ann. Appl. Probab.}},
Doc-Delivery-Number = {{398WR}},
Unique-ID = {{ISI:000166779900006}},
DA = {{2020-08-06}},
}

@article{ ISI:000088626900001,
Author = {Liaskas, K and Mavrotas, G and Mandaraka, M and Diakoulaki, D},
Title = {{Decomposition of industrial CO2 emissions: The case of European Union}},
Journal = {{ENERGY ECONOMICS}},
Year = {{2000}},
Volume = {{22}},
Number = {{4}},
Pages = {{383-394}},
Month = {{AUG}},
Abstract = {{This paper aims at identifying the factors that have influenced changes
   in the level of industrial CO2 emissions. By means of an algebraic
   decomposition method the observed changes are analyzed into four
   different factors: output level, energy intensity, fuel mix and
   structural change. The application study refers to the industrial sector
   of European Union countries. The results show that CO2 emissions are
   possible to decrease without negatively affecting economic growth. In
   this sense, they confirm the decoupling of economic growth from energy
   consumption realized in the developed countries and prove that this
   detachment holds true also for the atmospheric emissions associated with
   energy use. (C) 2000 Elsevier Science B.V. All rights reserved. JEL
   classification: Q40.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Diakoulaki, D (Corresponding Author), 9 Heroon Polytech,Zografou Campus, GR-15780 Athens, Greece.
   Natl Tech Univ Athens, Dept Chem Engn, Lab Ind \& Energy Econ, Athens, Greece.}},
DOI = {{10.1016/S0140-9883(99)00035-3}},
ISSN = {{0140-9883}},
Keywords = {{CO2 emissions; decomposition; European Union}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; ENERGY USE; STRUCTURAL DECOMPOSITION;
   MANUFACTURING SECTOR; OECD COUNTRIES; INTENSITY; CONSUMPTION; ECONOMY;
   TAIWAN}},
Research-Areas = {{Business \& Economics}},
Web-of-Science-Categories  = {{Economics}},
Cited-References = {{BOYD GA, 1988, ENERG ECON, V10, P309, DOI 10.1016/0140-9883(88)90042-4.
   Casler SD, 1998, ENVIRON RESOUR ECON, V11, P349, DOI 10.1023/A:1008224101980.
   Chang YF, 1998, ENERG POLICY, V26, P5, DOI 10.1016/S0301-4215(97)00089-X.
   GOWDY JM, 1987, ENVIRON PLANN A, V19, P1387, DOI 10.1068/a191387.
   Greening LA, 1998, ENERG ECON, V20, P43, DOI 10.1016/S0140-9883(97)00020-0.
   HAN XL, 1994, ENERGY J, V15, P165.
   HANKINSON GA, 1983, ENERG ECON, V5, P146, DOI 10.1016/0140-9883(83)90054-3.
   HOWARTH RB, 1991, ENERG ECON, V13, P135, DOI 10.1016/0140-9883(91)90046-3.
   LI JW, 1990, ENERG ECON, V12, P109, DOI 10.1016/0140-9883(90)90044-G.
   {*}OECD, 1994, EN BAL OECD COUNTR.
   {*}OECD, 1995, OECD STAN DAT IND AN.
   Park S., 1993, P COLL NATUR SCI SEO, V18, P1.
   PARK SH, 1982, ENERG ECON, V4, P105, DOI 10.1016/0140-9883(82)90027-5.
   PARK SH, 1992, ENERG ECON, V14, P265, DOI 10.1016/0140-9883(92)90031-8.}},
Number-of-Cited-References = {{14}},
Times-Cited = {{83}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{13}},
Journal-ISO = {{Energy Econ.}},
Doc-Delivery-Number = {{342CD}},
Unique-ID = {{ISI:000088626900001}},
DA = {{2020-08-06}},
}

@article{ ISI:000089005000009,
Author = {Cavalcanti, IFA},
Title = {{Teleconnection patterns orographically induced in model results and from
   observational data in the austral winter of the Southern Hemisphere}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2000}},
Volume = {{20}},
Number = {{10}},
Pages = {{1191-1206}},
Month = {{AUG}},
Abstract = {{Low frequency disturbances in the Southern Hemisphere are investigated
   through an observational study and numerical model experiments. The
   orography of the Andes and Antarctica in the Southern Hemisphere are the
   forcing of numerical experiments, submitted to zonal climatological
   austral winter conditions. The large-scale pattern forced by the Andes
   orography shows a high level wavetrain from the southeast of the
   mountain to the South Atlantic and two jet streams at high levels. The
   Antarctic case presents a wavenumber three horizontal structure around
   the hemisphere and three regions of jet stream. Characteristics of this
   wavenumber three model results are discussed based on analysis of
   streamfunction, vorticity and temperature, and related to blocking
   regions in the Southern Hemisphere. Empirical orthogonal function
   analysis of the low frequency filtered streamfunction at 250 hPa also
   shows, for the austral winter season, a wavenumber three structure and a
   wavetrain over the South Pacific and the South Atlantic, similar to the
   Pacific South American Pattern (PSA). Parts of the low frequency
   teleconnection patterns are identified in both the observational data
   and the model results, supporting the influence of the orography on the
   Southern Hemisphere atmospheric circulation. Analyses of periods with
   extreme amplitudes of the eigenvectors also show the influence of
   tropical convection on the anomalies over South America. Copyright (C)
   2000 Royal Meteorological Society.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Cavalcanti, IFA (Corresponding Author), Inst Nacl Pesquisas Espaciais, Ctr Previsao Tempo \& Estudos Climat, Rod Presidente Dutra,Km 40, Cachoeira Paulista, SP, Brazil.
   Inst Nacl Pesquisas Espaciais, Ctr Previsao Tempo \& Estudos Climat, Cachoeira Paulista, SP, Brazil.}},
DOI = {{10.1002/1097-0088(200008)20:10<1191::AID-JOC523>3.0.CO;2-G}},
ISSN = {{0899-8418}},
EISSN = {{1097-0088}},
Keywords = {{EOF analyses; low frequency streamfunction; orographic forcing in a
   baroclinic model; Southern Hemisphere teleconnection patterns}},
Keywords-Plus = {{ROSSBY-WAVE PROPAGATION; ATMOSPHERIC CIRCULATION; HIGH-LATITUDES;
   ANOMALIES; BLOCKING; VARIABILITY; OSCILLATION; FREQUENCY; 500-MB;
   STATISTICS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{iracema@cptec.inpe.br}},
ResearcherID-Numbers = {{Cavalcanti, Iracema/C-5243-2009}},
Cited-References = {{AMBRIZZI T, 1995, J ATMOS SCI, V52, P3661, DOI 10.1175/1520-0469(1995)052<3661:RWPATP>2.0.CO;2.
   Ambrizzi T, 1997, Q J ROY METEOR SOC, V123, P919, DOI 10.1002/qj.49712354007.
   BERBERY EH, 1992, J ATMOS SCI, V49, P155, DOI 10.1175/1520-0469(1992)049<0155:WSHET>2.0.CO;2.
   Cavalcanti IFA, 1999, METEOROL ATMOS PHYS, V69, P179, DOI 10.1007/BF01030420.
   CAVALCANTI IFA, 1993, 4 INT C SO HEM MET O.
   Connolley WM, 1997, CLIM DYNAM, V13, P745, DOI 10.1007/s003820050195.
   DUCHON CE, 1979, J APPL METEOROL, V18, P1016, DOI 10.1175/1520-0450(1979)018<1016:LFIOAT>2.0.CO;2.
   FRAEDRICH K, 1986, J ATMOS SCI, V43, P2116, DOI 10.1175/1520-0469(1986)043<2116:ZTALTL>2.0.CO;2.
   GROSE WL, 1979, J ATMOS SCI, V36, P223, DOI 10.1175/1520-0469(1979)036<0223:OTIOOO>2.0.CO;2.
   HOSKINS BJ, 1980, MON WEATHER REV, V108, P111, DOI 10.1175/1520-0493(1980)108<0111:ROTETU>2.0.CO;2.
   HOSKINS BJ, 1975, Q J ROY METEOR SOC, V101, P637, DOI 10.1256/smsqj.42917.
   HOSKINS BJ, 1981, J ATMOS SCI, V38, P1179, DOI 10.1175/1520-0469(1981)038<1179:TSLROA>2.0.CO;2.
   HOSKINS BJ, 1983, Q J ROY METEOR SOC, V109, P1.
   HOSKINS BJ, 1989, UGAMP7.
   Houseago RE, 1998, INT J CLIMATOL, V18, P1181, DOI 10.1002/(SICI)1097-0088(199809)18:11<1181::AID-JOC332>3.0.CO;2-X.
   HSU HH, 1992, MON WEATHER REV, V120, P1169, DOI 10.1175/1520-0493(1992)120<1169:GTITMS>2.0.CO;2.
   HSU HH, 1990, J ATMOS SCI, V47, P823, DOI 10.1175/1520-0469(1990)047<0823:TIOATR>2.0.CO;2.
   {*}INPE, 1995, CLIMANALISE      JUL.
   {*}INPE, 1989, CLIMANALISE      JUL.
   JAMES IN, 1988, Q J ROY METEOR SOC, V114, P619, DOI 10.1256/smsqj.48104.
   Karoly D. J., 1990, Tellus, Series A (Dynamic Meteorology and Oceanography), V42A, P41, DOI 10.1034/j.1600-0870.1990.00005.x.
   KAROLY DJ, 1989, J CLIMATE, V2, P1239, DOI 10.1175/1520-0442(1989)002<1239:SHCFAW>2.0.CO;2.
   Kidson JW, 1988, J CLIMATE, V1, P1177, DOI 10.1175/1520-0442(1988)001<1177:IVITSH>2.0.CO;2.
   KIDSON JW, 1991, J CLIMATE, V4, P939, DOI 10.1175/1520-0442(1991)004<0939:IVITSH>2.0.CO;2.
   Kiladis G.N., 1999, METEOROLOGY SO HEMIS.
   KLEEMAN R, 1989, J ATMOS SCI, V46, P3344, DOI 10.1175/1520-0469(1989)046<3344:AMSOTE>2.0.CO;2.
   Kousky V. E., 1988, REV BRAS METEOROL, V3, P199.
   KOUSKY VE, 1984, TELLUS A, V36, P490.
   KOUSKY VE, 1997, 5 INT C SO HEM MET O, P226.
   LEJENAS H, 1984, Q J ROY METEOR SOC, V110, P967.
   Marques RFC, 1999, MON WEATHER REV, V127, P1761, DOI 10.1175/1520-0493(1999)127<1761:ADOALL>2.0.CO;2.
   Marshall GJ, 1998, GEOPHYS RES LETT, V25, P2437, DOI 10.1029/98GL01651.
   Mo KC, 1998, MON WEATHER REV, V126, P1581, DOI 10.1175/1520-0493(1998)126<1581:TPSAMA>2.0.CO;2.
   MO KC, 1985, MON WEATHER REV, V113, P22, DOI 10.1175/1520-0493(1985)113<0022:TITSH>2.0.CO;2.
   MO KC, 1987, J ATMOS SCI, V44, P877, DOI 10.1175/1520-0469(1987)044<0877:SADOPA>2.0.CO;2.
   {*}NOAA, 1995, CAC NMC957 CLIM DIAG.
   {*}NOAA, 1989, CACC NMC89 CLIM DIAG.
   PITTOCK AB, 1980, MON WEATHER REV, V108, P1347, DOI 10.1175/1520-0493(1980)108<1347:POCVIA>2.0.CO;2.
   Renwick JA, 1998, MON WEATHER REV, V126, P3117, DOI 10.1175/1520-0493(1998)126<3117:ERVITF>2.0.CO;2.
   ROGERS JC, 1982, MON WEATHER REV, V110, P1375, DOI 10.1175/1520-0493(1982)110<1375:SVOSLP>2.0.CO;2.
   SATYAMURTY P, 1980, MON WEATHER REV, V108, P510, DOI 10.1175/1520-0493(1980)108<0510:OTSTGB>2.0.CO;2.
   Sinclair MR, 1996, MON WEATHER REV, V124, P245, DOI 10.1175/1520-0493(1996)124<0245:ACOAAB>2.0.CO;2.
   SINCLAIR MR, 1997, 5 INT C SO HEM MET O, P224.
   TRENBERTH KE, 1980, MON WEATHER REV, V108, P1378, DOI 10.1175/1520-0493(1980)108<1378:PWAMIT>2.0.CO;2.
   TRENBERTH KE, 1985, MON WEATHER REV, V113, P3, DOI 10.1175/1520-0493(1985)113<0003:BITSH>2.0.CO;2.
   TRENBERTH KE, 1981, J ATMOS SCI, V38, P2585, DOI 10.1175/1520-0469(1981)038<2585:OSHESA>2.0.CO;2.
   VALDES PJ, 1989, J ATMOS SCI, V46, P2509, DOI 10.1175/1520-0469(1989)046<2509:LSWSOT>2.0.CO;2.
   VANLOON H, 1972, J GEOPHYS RES, V77, P992, DOI 10.1029/JC077i006p00992.
   WALSH K, 1994, J CLIMATE, V7, P1019, DOI 10.1175/1520-0442(1994)007<1019:OTIOTA>2.0.CO;2.
   WEBSTER PJ, 1982, J ATMOS SCI, V39, P41, DOI 10.1175/1520-0469(1982)039<0041:SITLAR>2.0.CO;2.}},
Number-of-Cited-References = {{50}},
Times-Cited = {{8}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{348UN}},
Unique-ID = {{ISI:000089005000009}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000088811900004,
Author = {Black, RX and Dole, RM},
Title = {{Storm tracks and barotropic deformation in climate models}},
Journal = {{JOURNAL OF CLIMATE}},
Year = {{2000}},
Volume = {{13}},
Number = {{15}},
Pages = {{2712-2728}},
Month = {{AUG 1}},
Abstract = {{The relationship between the time-mean planetary-scale deformation field
   and the structure of midlatitude storm tracks is studied in wintertime
   simulations of the National Center for Atmospheric Research (NCAR)
   Community Climate Model and the National Aeronautics and Space
   Administration (NASA) Goddard Earth Observing System model. Model biases
   are determined by contrasting model simulations (forced by observed
   SSTs) with parallel analyses of NCEP-NCAR reanalyses. Barotropic
   diagnostics are employed to identify potential dynamical linkages
   between regional biases in the midlatitude storm tracks and the
   horizontal deformation field. Initial observational analyses confirm
   that synoptic eddies are optimally configured to transfer kinetic energy
   to the mean flow in the jet exit regions, where strong stretching
   deformation exists. In these regions, the major axes of the synoptic
   eddies are aligned along the dilatation axes of the mean Row.
   Consequently, mean flow advection stretches synoptic eddies along their
   major axes, thereby increasing their anisotropy and weakening their
   kinetic energy.
   A strong link is identified between model biases in the horizontal
   structure of the midlatitude storm tracks and the representation of
   upper-tropospheric barotropic deformation. In particular,
   model-simulated storm tracks extend too far downstream in regions where
   the zonal stretching deformation (associated with horizontal diffluence
   in jet exit regions) is either too weak in magnitude or displaced
   westward in comparison with observations. These biases are associated
   with anomalously weak or westward-displaced patterns of negative
   barotropic energy conversions, which normally act as a sink of synoptic
   eddy activity in the jet exit. The anomalous energy conversion patterns
   are primarily due to model biases in the winter-mean Row rather than the
   simulated horizontal eddy structures, which closely resemble
   observations.
   The results indicate that the horizontal structure of midlatitude storm
   tracks in climate models is strongly controlled by the large-scale
   patterns of barotropic deformation in the upper troposphere. It is
   suggested that barotropic deformation analyses may provide a useful
   diagnostic measure for assessing climate simulation errors in
   atmospheric general circulation models.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Black, RX (Corresponding Author), Georgia Inst Technol, Sch Earth \& Atmospher Sci, Atlanta, GA 30332 USA.
   Georgia Inst Technol, Sch Earth \& Atmospher Sci, Atlanta, GA 30332 USA.
   NOAA, Climate Diagnost Ctr, Boulder, CO USA.}},
DOI = {{10.1175/1520-0442(2000)013<2712:STABDI>2.0.CO;2}},
ISSN = {{0894-8755}},
Keywords-Plus = {{HEMISPHERE WINTERTIME CIRCULATION; NORTHERN HEMISPHERE; TELECONNECTION
   PATTERNS; GENERAL-CIRCULATION; INSTABILITY; FLOW; PROPAGATION;
   STATISTICS; CCM3}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
ResearcherID-Numbers = {{Black, Robert X/L-8522-2014}},
Cited-References = {{Black RX, 1998, MON WEATHER REV, V126, P841, DOI 10.1175/1520-0493(1998)126<0841:TSAHSO>2.0.CO;2.
   BLACKMON ML, 1977, J ATMOS SCI, V34, P1040, DOI 10.1175/1520-0469(1977)034<1040:AOSOTN>2.0.CO;2.
   BLACKMON ML, 1976, J ATMOS SCI, V33, P1607, DOI 10.1175/1520-0469(1976)033<1607:ACSSOT>2.0.CO;2.
   BOER GJ, 1992, J GEOPHYS RES-ATMOS, V97, P12771, DOI 10.1029/92JD00722.
   DOLE RM, 1986, MON WEATHER REV, V114, P178, DOI 10.1175/1520-0493(1986)114<0178:PAOTEN>2.0.CO;2.
   DOLE RM, 1994, LIFE CYCLES EXTRATRO, V2, P12.
   FARRELL BF, 1989, J ATMOS SCI, V46, P3279, DOI 10.1175/1520-0469(1989)046<3279:TDICAD>2.0.CO;2.
   FREDERIKSEN JS, 1983, J ATMOS SCI, V40, P2593, DOI 10.1175/1520-0469(1983)040<2593:AUTDIT>2.0.CO;2.
   Hack JJ, 1994, J GEOPHYS RES-ATMOS, V99, P5551, DOI 10.1029/93JD03478.
   HACK JJ, 1994, J GEOPHYS RES-ATMOS, V99, P20785, DOI 10.1029/94JD01570.
   HOSKINS BJ, 1983, J ATMOS SCI, V40, P1595, DOI 10.1175/1520-0469(1983)040<1595:TSPAMF>2.0.CO;2.
   Hurrell JW, 1998, J CLIMATE, V11, P1207, DOI 10.1175/1520-0442(1998)011<1207:TDSOTN>2.0.CO;2.
   Kalnay E, 1996, B AM METEOROL SOC, V77, P437, DOI 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2.
   Kiehl JT, 1998, J CLIMATE, V11, P1151, DOI 10.1175/1520-0442(1998)011<1151:TEBOTN>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.
   LEE SY, 1995, J ATMOS SCI, V52, P977, DOI 10.1175/1520-0469(1995)052<0977:LSTITA>2.0.CO;2.
   LINDZEN RS, 1980, J ATMOS SCI, V37, P1648, DOI 10.1175/1520-0469(1980)037<1648:ASARFT>2.0.CO;2.
   MAK MK, 1989, J ATMOS SCI, V46, P3289, DOI 10.1175/1520-0469(1989)046<3289:LBI>2.0.CO;2.
   PEIXOTO JP, 1974, J GEOPHYS RES, V79, P2149, DOI 10.1029/JC079i015p02149.
   PIERREHUMBERT RT, 1984, J ATMOS SCI, V41, P2141, DOI 10.1175/1520-0469(1984)041<2141:LAGBIO>2.0.CO;2.
   REX DF, 1950, TELLUS, V2, P196, DOI DOI 10.1111/J.2153-3490.1950.TB00331.X.
   SIMMONS AJ, 1983, J ATMOS SCI, V40, P1363, DOI 10.1175/1520-0469(1983)040<1363:BWPAIA>2.0.CO;2.
   SUAREZ MJ, 1995, 104606 NASA GODD SPA, V4.
   TAKACS LL, 1994, 104606 NASA GODD SPA, V1.
   WALLACE JM, 1985, ADV GEOPHYS, V28, P33.
   Whitaker JS, 1998, J ATMOS SCI, V55, P237, DOI 10.1175/1520-0469(1998)055<0237:ALTOES>2.0.CO;2.
   WHITAKER JS, 1995, J ATMOS SCI, V52, P1178, DOI 10.1175/1520-0469(1995)052<1178:OOSTIZ>2.0.CO;2.}},
Number-of-Cited-References = {{27}},
Times-Cited = {{21}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{J. Clim.}},
Doc-Delivery-Number = {{345JB}},
Unique-ID = {{ISI:000088811900004}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000088521000003,
Author = {Lau, KM and Kim, KM and Yang, S},
Title = {{Dynamical and boundary forcing characteristics of regional components of
   the Asian summer monsoon}},
Journal = {{JOURNAL OF CLIMATE}},
Year = {{2000}},
Volume = {{13}},
Number = {{14}},
Pages = {{2461-2482}},
Month = {{JUL 15}},
Abstract = {{In this paper, the authors present a description of the internal
   dynamics and boundary forcing characteristics of two major subcomponents
   of the Asian summer monsoon (ASM), that is, the South Asian monsoon
   (SAM) and the East-Southeast Asian monsoon (EAM). The description is
   based on a new monsoon-climate paradigm in which the variability of ASM
   is considered as the outcome of the interplay of a ``fast{''} and an
   ``intermediate{''} monsoon subsystem, under the influence of ``slow{''}
   external forcings. Two sets of regional monsoon indices derived from
   dynamically consistent rainfall and wind data are used in this study.
   Results show that the internal dynamics of SAM are representative of a
   ``classical{''} monsoon system in which the anomalous circulation is
   governed by Rossby wave dynamics, where anomalous vorticity induced by
   an off-equatorial heat source is balanced by the advection of planetary
   vorticity. On the other hand, the internal dynamics of EAM are
   characterized by a ``bybrid{''} monsoon system featuring multicellular
   meridional circulation over the East Asian sector, extending from the
   deep Tropics to the midlatitudes. These meridional cells link; tropical
   heating to extratropical circulation systems via the East Asian jet
   stream and are responsible for the observed zonally oriented anomalous
   rainfall patterns over East and Southeast Asia and the subtropical
   western Pacific. In the extratropic al regions, the major upper-level
   vorticity balance is between the advection and generation by anomalous
   divergent circulation and basic-stale circulation. A consequence of the
   different dynamical underpinnings is that EAM is associated with
   stronger extratropical teleconnection patterns to regions outside ASM
   compared to SAM.
   The interannual variability of SAM is linked to basin-scale SST
   fluctuation with pronounced signals in the equatorial eastern Pacific.
   During the boreal spring, warming of the Arabian Sea and the subtropical
   western Pacific may lead to a strong SAM. For EAM, interannual
   variability is tied to SST anomalies over the East China Sea, the Sea of
   Japan (East Sea), and the South China Sea regions, while the linkage to
   equatorial basin-scale SST anomaly is weak at best. A strong EAM is
   foreshadowed by a large-scale SST anomaly dipole with warming (cooling)
   in the subtropical central (eastern) Pacific.
   Comparison with the P. J. Webster and S. Yang (WY) monsoon index shows
   that WY is not significantly correlated with either the SAM or EAM
   regional-scale rainfall separately. It is demonstrated that WY can be
   considered as a measure of the large-scale atmospheric circulation state
   over the Indian/Pacific Ocean basin, including the integrated heat
   source over the ASM region. As such, the regional monsoon indices
   developed in this paper and WY provide a complementary description of
   the broadscale and regional aspects of the ASM.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Lau, KM (Corresponding Author), NASA, Goddard Space Flight Ctr, Climate \& Radiat Branch, Code 913, Greenbelt, MD 20771 USA.
   NASA, Goddard Space Flight Ctr, Climate \& Radiat Branch, Greenbelt, MD 20771 USA.
   NASA, Goddard Space Flight Ctr, Univ Space Res Assoc, Greenbelt, MD 20771 USA.
   Gen Sci Corp, SAIC, Beltsville, MD USA.}},
DOI = {{10.1175/1520-0442(2000)013<2461:DABFCO>2.0.CO;2}},
ISSN = {{0894-8755}},
Keywords-Plus = {{SEA-SURFACE-TEMPERATURE; INTERANNUAL VARIABILITY; BIENNIAL OSCILLATION;
   GLOBAL PRECIPITATION; SOUTHERN-OSCILLATION; WESTERN PACIFIC; RAINFALL;
   CIRCULATION; CLIMATE; CHINA}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
ResearcherID-Numbers = {{Kim, Kyu-Myong/G-5398-2014
   Yang, Song/B-4952-2009
   Lau, William K/E-1510-2012}},
ORCID-Numbers = {{Lau, William K/0000-0002-3587-3691}},
Cited-References = {{Chen TC, 2000, J ATMOS SCI, V57, P1373, DOI 10.1175/1520-0469(2000)057<1373:IBTSMI>2.0.CO;2.
   Clarke AJ, 1998, J CLIMATE, V11, P987, DOI 10.1175/1520-0442(1998)011<0987:DOTBOI>2.0.CO;2.
   GILL AE, 1980, Q J ROY METEOR SOC, V106, P447, DOI 10.1256/smsqj.44904.
   Goswami BN, 1999, Q J ROY METEOR SOC, V125, P611, DOI 10.1002/qj.49712555412.
   GU DF, 1995, J CLIMATE, V8, P864, DOI 10.1175/1520-0442(1995)008<0864:SCOAAI>2.0.CO;2.
   Huffman GJ, 1997, B AM METEOROL SOC, V78, P5, DOI 10.1175/1520-0477(1997)078<0005:TGPCPG>2.0.CO;2.
   HURRELL JW, 1992, J CLIMATE, V5, P1424, DOI 10.1175/1520-0442(1992)005<1424:AEOMMM>2.0.CO;2.
   Kalnay E, 1996, B AM METEOROL SOC, V77, P437, DOI 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2.
   KRISHNAMURTI TN, 1985, MON WEATHER REV, V113, P1590, DOI 10.1175/1520-0493(1985)113<1590:SMER>2.0.CO;2.
   Lau K. M., 1982, MON WEA REV, V110, P1372.
   Lau KM, 1999, GEOPHYS RES LETT, V26, P1747, DOI 10.1029/1999GL900307.
   Lau KM, 1998, CLIM DYNAM, V14, P759, DOI 10.1007/s003820050253.
   Lau KM, 1996, Q J ROY METEOR SOC, V122, P945.
   LAU KM, 1984, B AM METEOROL SOC, V65, P114, DOI 10.1175/1520-0477(1984)065<0114:TMOEAA>2.0.CO;2.
   LAU KM, 1992, J CLIMATE, V5, P140, DOI 10.1175/1520-0442(1992)005<0140:DOATDT>2.0.CO;2.
   Liang XZ, 1998, Q J ROY METEOR SOC, V124, P2597, DOI 10.1002/qj.49712455204.
   Liu ZY, 1997, J CLIMATE, V10, P1662, DOI 10.1175/1520-0442(1997)010<1662:ACTOTC>2.0.CO;2.
   MEEHL GA, 1993, J CLIMATE, V6, P42, DOI 10.1175/1520-0442(1993)006<0042:TPIVAC>2.0.CO;2.
   Meehl GA, 1997, J CLIMATE, V10, P1921, DOI 10.1175/1520-0442(1997)010<1921:TSAMAT>2.0.CO;2.
   Mehta VM, 1997, GEOPHYS RES LETT, V24, P159, DOI 10.1029/96GL03778.
   MOOLEY DA, 1986, J CLIM APPL METEOROL, V25, P633, DOI 10.1175/1520-0450(1986)025<0633:RBISMR>2.0.CO;2.
   MOOLEY DA, 1984, CLIMATIC CHANGE, V6, P287, DOI 10.1007/BF00142477.
   Nitta T, 1996, J METEOROL SOC JPN, V74, P425, DOI 10.2151/jmsj1965.74.4\_425.
   NITTA T, 1987, J METEOROL SOC JPN, V65, P373, DOI 10.2151/jmsj1965.65.3\_373.
   Palmer T. N., 1994, Proceedings of the Indian National Science Academy, Part A, V60, P57.
   PARTHASARATHY B, 1992, METEOROL MAG, V121, P174.
   RASMUSSON EM, 1983, MON WEATHER REV, V111, P517, DOI 10.1175/1520-0493(1983)111<0517:TRBEEP>2.0.CO;2.
   Ropelewski C., 1988, MON WEA REV, V115, P1606.
   SHEN SH, 1995, J METEOROL SOC JPN, V73, P105, DOI 10.2151/jmsj1965.73.1\_105.
   SHUKLA J, 1983, MON WEATHER REV, V111, P1830, DOI 10.1175/1520-0493(1983)111<1830:TSOALR>2.0.CO;2.
   SHUKLA J, 1984, PROBLEMS PROSPECTS L, P115.
   Soman MK, 1997, Q J ROY METEOR SOC, V123, P309, DOI 10.1256/smsqj.53803.
   Wang B, 1999, B AM METEOROL SOC, V80, P629, DOI 10.1175/1520-0477(1999)080<0629:COSASM>2.0.CO;2.
   WEBSTER PJ, 1992, Q J ROY METEOR SOC, V118, P877, DOI 10.1256/smsqj.50704.
   Weng HY, 1999, J METEOROL SOC JPN, V77, P845, DOI 10.2151/jmsj1965.77.4\_845.
   Xie PP, 1997, B AM METEOROL SOC, V78, P2539, DOI 10.1175/1520-0477(1997)078<2539:GPAYMA>2.0.CO;2.
   Yang S, 1998, J CLIMATE, V11, P3230, DOI 10.1175/1520-0442(1998)011<3230:IOSSTA>2.0.CO;2.
   YANG S, 1990, J GEOPHYS RES-ATMOS, V95, P18705, DOI 10.1029/JD095iD11p18705.
   YASUNARI T, 1992, J METEOROL SOC JPN, V70, P177, DOI 10.2151/jmsj1965.70.1B\_177.}},
Number-of-Cited-References = {{39}},
Times-Cited = {{287}},
Usage-Count-Last-180-days = {{5}},
Usage-Count-Since-2013 = {{62}},
Journal-ISO = {{J. Clim.}},
Doc-Delivery-Number = {{340EW}},
Unique-ID = {{ISI:000088521000003}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000088521000010,
Author = {Zheng, XG and Nakamura, H and Renwick, JA},
Title = {{Potential predictability of seasonal means based on monthly time series
   of meteorological variables}},
Journal = {{JOURNAL OF CLIMATE}},
Year = {{2000}},
Volume = {{13}},
Number = {{14}},
Pages = {{2591-2604}},
Month = {{JUL 15}},
Abstract = {{Based only on monthly mean data, an analysis of variance method is
   proposed for decomposing the interannual atmospheric variability in
   seasonal-mean time series into components related to ``weather noise{''}
   and to slowly varying boundary forcing and low-frequency internal
   dynamics. The ``potential predictability{''} is then defined as the
   fraction of the total interannual variance accounted for by the latter
   two components. A study using synthetic data showed that the method
   proposed here is comparable in performance to conventional methods
   requiring daily data.
   The technique was applied to gridded global data of monthly surface
   temperature, 500-hPa bright, and 300-hPa wind in order to examine the
   geographical and seasonal dependencies of their potential
   predictability. For all the variables, the highest potential
   predictability tends to be found in the Tropics, where seasonal
   anomalies in the atmosphere are strongly coupled with the underlying sea
   surface temperature anomalies and the weather noise component is
   relatively weak. In contrast, the predictability is generally low over
   the extratropics. Surface temperature,however, exhibits relatively high
   predictability over the subtropical and midlatitude oceans, particularly
   over the midlatitude North Pacific in winter, where the El Nino-Southern
   Oscillation events exert strong influences through atmospheric
   teleconnection. These results appear physically reasonable and
   consistent with our current understanding based on previous
   observational and model-based analyses.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Zheng, XG (Corresponding Author), Natl Inst Water \& Atmospher Res, POB 14901, Wellington, New Zealand.
   Natl Inst Water \& Atmospher Res, Wellington, New Zealand.
   Univ Tokyo, Frontier Res Syst Global Change, IGCR, Tokyo, Japan.
   Univ Tokyo, Dept Earth \& Planetary Phys, Tokyo, Japan.}},
DOI = {{10.1175/1520-0442(2000)013<2591:PPOSMB>2.0.CO;2}},
ISSN = {{0894-8755}},
Keywords-Plus = {{NORTHERN HEMISPHERE WINTER; LOW-FREQUENCY VARIABILITY; MIDLATITUDE STORM
   TRACKS; SEA-SURFACE TEMPERATURE; OCEAN ATMOSPHERE MODEL; LONG-RANGE
   PREDICTION; SOUTHERN-HEMISPHERE; EL-NINO; 500 MB; INTERANNUAL
   VARIABILITY}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{x.zheng@niwa.cri.nz}},
ORCID-Numbers = {{Renwick, James/0000-0002-9141-2486}},
Cited-References = {{ALEXANDER MA, 1995, J CLIMATE, V8, P122.
   Basher RE, 1996, INT J CLIMATOL, V16, P405, DOI 10.1002/(SICI)1097-0088(199604)16:4<405::AID-JOC14>3.0.CO;2-T.
   BJERKNES J, 1969, MON WEATHER REV, V97, P163, DOI 10.1175/1520-0493(1969)097<0163:ATFTEP>2.3.CO;2.
   BLACKMON ML, 1984, J ATMOS SCI, V41, P961, DOI 10.1175/1520-0469(1984)041<0961:HSOMHF>2.0.CO;2.
   BLACKMON ML, 1976, J ATMOS SCI, V33, P1607, DOI 10.1175/1520-0469(1976)033<1607:ACSSOT>2.0.CO;2.
   CANE MA, 1986, ANNU REV EARTH PL SC, V14, P43, DOI 10.1146/annurev.ea.14.050186.000355.
   CAYAN DR, 1980, MON WEATHER REV, V108, P1293, DOI 10.1175/1520-0493(1980)108<1293:LSRBSS>2.0.CO;2.
   EPSTEIN ES, 1991, J CLIMATE, V4, P1047, DOI 10.1175/1520-0442(1991)004<1047:DTONOH>2.0.CO;2.
   HOERLING MP, 1994, J CLIMATE, V7, P745, DOI 10.1175/1520-0442(1994)007<0745:OOETDE>2.0.CO;2.
   HOLTON JR, 1992, INT GEOPHYSCS SERIES, V48.
   Honda M, 1999, J CLIMATE, V12, P3347, DOI 10.1175/1520-0442(1999)012<3347:DATCOA>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, J

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

filename: savedrecs (13).bib


text:
ATMOS SCI, V52, P2286, DOI 10.1175/1520-0469(1995)052<2286:TEFOTR>2.0.CO;2.
   IWASAKA N, 1987, J METEOROL SOC JPN, V65, P103, DOI 10.2151/jmsj1965.65.1\_103.
   JONES PD, 1996, CLIMATE MONIT, V25, P20.
   Jones R. H., 1993, LONGITUDINAL DATA SE.
   JONES RH, 1975, J APPL METEOROL, V14, P159, DOI 10.1175/1520-0450(1975)014<0159:ETVOTA>2.0.CO;2.
   Kalnay E, 1996, B AM METEOROL SOC, V77, P437, DOI 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2.
   Kidson JW, 1999, J CLIMATE, V12, P2808, DOI 10.1175/1520-0442(1999)012<2808:PMOSHL>2.0.CO;2.
   Kleeman R, 1997, J ATMOS SCI, V54, P753, DOI 10.1175/1520-0469(1997)054<0753:ATFTLO>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.
   LAU NC, 1991, J ATMOS SCI, V48, P2589, DOI 10.1175/1520-0469(1991)048<2589:VOTBAB>2.0.CO;2.
   LAU NC, 1994, J CLIMATE, V7, P1184, DOI 10.1175/1520-0442(1994)007<1184:AMSOTR>2.0.CO;2.
   Leith C. E., 1973, Journal of Applied Meteorology, V12, P1066, DOI 10.1175/1520-0450(1973)012<1066:TSEOTA>2.0.CO;2.
   Lorenz Edward N., 1970, J APPL METEOROL, V9, P325, DOI DOI 10.1175/1520-0450(1970)009<0325:CCAAMP>2.0.CO;2.
   MADDEN RA, 1971, J ATMOS SCI, V28, P702, DOI 10.1175/1520-0469(1971)028<0702:DOADOI>2.0.CO;2.
   MADDEN RA, 1981, J GEOPHYS RES-OCEANS, V86, P9817, DOI 10.1029/JC086iC10p09817.
   MADDEN RA, 1983, MON WEATHER REV, V111, P586, DOI 10.1175/1520-0493(1983)111<0586:R>2.0.CO;2.
   MADDEN RA, 1978, MON WEATHER REV, V106, P1695, DOI 10.1175/1520-0493(1978)106<1695:EOTNVO>2.0.CO;2.
   Madden RA, 1997, INT J CLIMATOL, V17, P483, DOI 10.1002/(SICI)1097-0088(199704)17:5<483::AID-JOC135>3.0.CO;2-C.
   MADDEN RA, 1976, MON WEATHER REV, V104, P942, DOI 10.1175/1520-0493(1976)104<0942:EOTNVO>2.0.CO;2.
   MADDEN RA, 1972, J ATMOS SCI, V29, P1109, DOI 10.1175/1520-0469(1972)029<1109:DOGSCC>2.0.CO;2.
   MANABE S, 1992, J CLIMATE, V5, P105, DOI 10.1175/1520-0442(1992)005<0105:TROACO>2.0.CO;2.
   MANABE S, 1991, J CLIMATE, V4, P785, DOI 10.1175/1520-0442(1991)004<0785:TROACO>2.0.CO;2.
   Nakamura H., 1999, EL NINO DECADAL INTE, P49.
   Nicholls N., 1983, AUST METEOROL MAG, V31, P203.
   Rao C. R., 1973, LINEAR STAT INFERENC.
   RASMUSSON EM, 1982, MON WEATHER REV, V110, P354, DOI 10.1175/1520-0493(1982)110<0354:VITSST>2.0.CO;2.
   Renwick JA, 1998, MON WEATHER REV, V126, P3117, DOI 10.1175/1520-0493(1998)126<3117:ERVITF>2.0.CO;2.
   ROWNTREE PR, 1972, Q J ROY METEOR SOC, V98, P290, DOI 10.1256/smsqj.41604.
   SHEA DJ, 1990, J CLIMATE, V3, P1444, DOI 10.1175/1520-0442(1990)003<1444:PFLRPO>2.0.CO;2.
   SHUKLA J, 1983, MON WEATHER REV, V111, P581, DOI 10.1175/1520-0493(1983)111<0581:COVAP>2.0.CO;2.
   Shukla J, 1998, SCIENCE, V282, P728, DOI 10.1126/science.282.5389.728.
   Sinclair MR, 1996, MON WEATHER REV, V124, P245, DOI 10.1175/1520-0493(1996)124<0245:ACOAAB>2.0.CO;2.
   {*}STATSC, 1993, S PLUS GUID STAT MAT.
   TRENBERTH KE, 1982, J ATMOS SCI, V39, P2507, DOI 10.1175/1520-0469(1982)039<2507:SISHES>2.0.CO;2.
   TRENBERTH KE, 1984, MON WEATHER REV, V112, P2369, DOI 10.1175/1520-0493(1984)112<2369:SEOFSS>2.0.CO;2.
   TRENBERTH KE, 1981, J ATMOS SCI, V38, P2585, DOI 10.1175/1520-0469(1981)038<2585:OSHESA>2.0.CO;2.
   VANLOON H, 1978, MON WEATHER REV, V106, P296, DOI 10.1175/1520-0493(1978)106<0296:TSIWTB>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.
   White WB, 1996, NATURE, V380, P699, DOI 10.1038/380699a0.
   Zheng XG, 1999, J CLIMATE, V12, P2386, DOI 10.1175/1520-0442(1999)012<2386:VIVIAE>2.0.CO;2.
   Zheng XG, 1996, J CLIMATE, V9, P2197, DOI 10.1175/1520-0442(1996)009<2197:UEOAOD>2.0.CO;2.
   ZWIERS FW, 1995, J CLIMATE, V8, P336, DOI 10.1175/1520-0442(1995)008<0336:TSCIAI>2.0.CO;2.
   Zwiers FW, 1996, CLIM DYNAM, V12, P825, DOI 10.1007/s003820050146.
   ZWIERS FW, 1987, MON WEATHER REV, V115, P2957, DOI 10.1175/1520-0493(1987)115<2957:APPSCW>2.0.CO;2.}},
Number-of-Cited-References = {{57}},
Times-Cited = {{47}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{8}},
Journal-ISO = {{J. Clim.}},
Doc-Delivery-Number = {{340EW}},
Unique-ID = {{ISI:000088521000010}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000088422300004,
Author = {Swanson, KL},
Title = {{Stationary wave accumulation and the generation of low-frequency
   variability on zonally varying flows}},
Journal = {{JOURNAL OF THE ATMOSPHERIC SCIENCES}},
Year = {{2000}},
Volume = {{57}},
Number = {{14}},
Pages = {{2262-2280}},
Month = {{JUL 14}},
Abstract = {{A potent mechanism for the generation of low-frequency atmospheric
   variability on vortex basic states consisting of a single potential
   vorticity jump, or contour, separating two regions of uniform equivalent
   barotropic potential vorticity is described. Such basic states represent
   in a simple manner the potential vorticity distribution of the
   extratropical upper troposphere. It is shown that the group velocity for
   stationary waves propagating on such states can vanish for realistic
   zonal variations in the basic-state flow along the vortex edge, leading
   to local exponential disturbance growth due to the accumulation of wave
   action. Further, pseudo-energy stability criteria are derived that
   suggest that exponentially growing global disturbances are possible for
   sufficiently strong zonal variations in the flow along the vortex edge.
   These predictions are examined using linear and nonlinear initial value
   problem calculations. For wavenumber-1 flow variations in the
   basic-state zonal flow along the vortex edge, no global instability
   occurs. However, strong local disturbance growth in response to weak
   stationary forcing does occur and can lend to irreversible deformation
   of the vortex. For wavenumber-2 and higher variations in the basic state
   zonal flow along the vortex edge, global instability occurs if the
   stability criteria is violated. These instabilities have peak
   dimensional c-folding times on the order of one week, with faster growth
   rates corresponding to stronger zonal variations in the flow along the
   vortex edge. Quantization of the zonal scale of amplifying disturbances
   occurs, indicating disturbance resonance with the underlying zonal
   variations in the basic-state flow along the vortex edge. In the
   nonlinear regime, longer wavelength disturbances lead to large amplitude
   periodic fluctuations of the vortex. Intermediate wavelength
   disturbances are shown to yield surprisingly realistic blocking events,
   while short wavelength disturbances saturate at amplitudes too small to
   change the overall structure of the vortex.
   The pervasiveness of instability in this simple system suggests similar
   processes may be important for blocking transitions and the generation
   of low-frequency variability in the extratropical atmosphere.
   Preliminary results from the National Centers for Environmental
   Prediction-National Center for Atmospheric Research reanalysis show that
   the climatological 330-K isentropic potential vorticity is accurately
   characterized as the time average of a fluctuating single-contour
   vortex. Wave action conservation on basic states constructed using
   dynamical fields on the 330-K isentropic surface reproduces observed
   shifts in low-frequency variability that occur during the El Nino cycle.
   Further, these shifts lead to transient-driven time mean flow anomalies
   that have a teleconnection pattern-like structure, despite the fact that
   meridional propagation of waves is forbidden in this system. The ability
   of this system to accurately simulate diverse atmospheric phenomena as
   well as explain certain aspects of upper-tropospheric dynamics suggests
   thai it may provide a powerful new paradigm with which to view
   low-frequency dynamics in the climate system.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Swanson, KL (Corresponding Author), Univ Wisconsin, Dept Math Sci, Milwaukee, WI 53201 USA.
   Univ Wisconsin, Dept Math Sci, Milwaukee, WI 53201 USA.}},
DOI = {{10.1175/1520-0469(2000)057<2262:SWAATG>2.0.CO;2}},
ISSN = {{0022-4928}},
Keywords-Plus = {{MEAN FLOW; CONTOUR DYNAMICS; VORTEX-DYNAMICS; NORTH PACIFIC; SHEAR
   FLOWS; PROPAGATION; ATMOSPHERE; VORTICITY; DISTURBANCES; TROPOPAUSE}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Cited-References = {{Ambaum M, 1997, J ATMOS SCI, V54, P555, DOI 10.1175/1520-0469(1997)054<0555:IFOTT>2.0.CO;2.
   AMBAUM MHP, 1995, J ATMOS SCI, V52, P2643, DOI 10.1175/1520-0469(1995)052<2643:OIACDM>2.0.CO;2.
   ANDREWS DG, 1978, J FLUID MECH, V89, P609, DOI 10.1017/S0022112078002773.
   Arnol'd VI, 1966, IZV VYSSH UCHEBN ZAV, V54, P3.
   BLACKMON ML, 1984, J ATMOS SCI, V41, P961, DOI 10.1175/1520-0469(1984)041<0961:HSOMHF>2.0.CO;2.
   BRANSTATOR G, 1995, J ATMOS SCI, V52, P207, DOI 10.1175/1520-0469(1995)052<0207:OOSTAB>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.
   BRETHERT.FP, 1968, PROC R SOC LON SER-A, V302, P529, DOI 10.1098/rspa.1968.0034.
   CHARNEY JG, 1979, J ATMOS SCI, V36, P1205, DOI 10.1175/1520-0469(1979)036<1205:MFEITA>2.0.CO;2.
   Chen WY, 1997, J ATMOS SCI, V54, P725, DOI 10.1175/1520-0469(1997)054<0725:AIOTSA>2.0.CO;2.
   DRITSCHEL DG, 1989, J FLUID MECH, V206, P193, DOI 10.1017/S0022112089002284.
   DRITSCHEL DG, 1988, J COMPUT PHYS, V77, P240, DOI 10.1016/0021-9991(88)90165-9.
   DRITSCHEL DG, 1989, COMPUT PHYS REP, V77, P240.
   FARRELL B, 1985, J ATMOS SCI, V42, P1746, DOI 10.1175/1520-0469(1985)042<1746:RWIOC>2.0.CO;2.
   GRIMSHAW R, 1984, ANNU REV FLUID MECH, V16, P11, DOI 10.1146/annurev.fl.16.010184.000303.
   Held I.M., 1983, LARGE SCALE DYNAMICA, P127.
   HELD IM, 1980, J ATMOS SCI, V37, P515, DOI 10.1175/1520-0469(1980)037<0515:NASCIA>2.0.CO;2.
   HELD IM, 1989, J ATMOS SCI, V46, P163, DOI 10.1175/1520-0469(1989)046<0163:TATERT>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, 1985, Q J ROY METEOR SOC, V111, P877, DOI 10.1256/smsqj.47001.
   HOSKINS BJ, 1981, J ATMOS SCI, V38, P1179, DOI 10.1175/1520-0469(1981)038<1179:TSLROA>2.0.CO;2.
   Kushner PJ, 1999, J ATMOS SCI, V56, P948, DOI 10.1175/1520-0469(1999)056<0948:PVTFAW>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.
   MCINTYRE ME, 1987, J FLUID MECH, V181, P527, DOI 10.1017/S0022112087002209.
   NAKAMURA M, 1994, J ATMOS SCI, V51, P2031, DOI 10.1175/1520-0469(1994)051<2031:TEOFAO>2.0.CO;2.
   Newman M, 1997, J ATMOS SCI, V54, P435, DOI 10.1175/1520-0469(1997)054<0435:SFOTWE>2.0.CO;2.
   PIETERS D, 1996, J ATMOS SCI, V53, P3013.
   PLUMB RA, 1981, J ATMOS SCI, V38, P2514, DOI 10.1175/1520-0469(1981)038<2514:IOTDPN>2.0.CO;2.
   POLVANI LM, 1989, J FLUID MECH, V205, P215, DOI 10.1017/S0022112089002016.
   POLVANI LM, 1992, J ATMOS SCI, V49, P462, DOI 10.1175/1520-0469(1992)049<0462:RWBMFA>2.0.CO;2.
   RINNE J, 1993, MON WEATHER REV, V121, P825, DOI 10.1175/1520-0493(1993)121<0825:EOTCTF>2.0.CO;2.
   RIVEST C, 1992, J ATMOS SCI, V49, P2108, DOI 10.1175/1520-0469(1992)049<2108:UTSSWP>2.0.CO;2.
   SANDERS F, 1988, MON WEATHER REV, V116, P2629, DOI 10.1175/1520-0493(1988)116<2629:LHOMTI>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.
   Swanson KL, 1997, J ATMOS SCI, V54, P791, DOI 10.1175/1520-0469(1997)054<0791:DOBST>2.0.CO;2.
   VERKLEY WTM, 1994, J ATMOS SCI, V51, P509, DOI 10.1175/1520-0469(1994)051<0509:TDAPW>2.0.CO;2.
   WAUGH DW, 1992, PHYS FLUIDS A-FLUID, V4, P1745, DOI 10.1063/1.858395.
   WAUGH DW, 1994, J ATMOS SCI, V51, P1401, DOI 10.1175/1520-0469(1994)051<1401:NBRTAL>2.0.CO;2.
   WAUGH DW, 1991, J FLUID MECH, V231, P575, DOI 10.1017/S002211209100352X.
   WEBSTER PJ, 1988, J ATMOS SCI, V45, P803, DOI 10.1175/1520-0469(1988)045<0803:EEAAER>2.0.CO;2.
   Whitaker JS, 1998, J ATMOS SCI, V55, P237, DOI 10.1175/1520-0469(1998)055<0237:ALTOES>2.0.CO;2.
   WHITHAM GB, 1965, J FLUID MECH, V22, P273, DOI 10.1017/S0022112065000745.
   Whitham GB, 1974, LINEAR NONLINEAR WAV.}},
Number-of-Cited-References = {{43}},
Times-Cited = {{30}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{J. Atmos. Sci.}},
Doc-Delivery-Number = {{338LX}},
Unique-ID = {{ISI:000088422300004}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

license_type: permissive

branch_name: refs/heads/master

extension: bib


text:
@MISC{Chamberlain2015-tg,
  title  = {rplos: Interface to the Search {'API'} for {'PLoS'} Journals},
  author = "Chamberlain, Scott and Boettiger, Carl and Ram, Karthik",
  year   =  2015,
  url    = "http://CRAN.R-project.org/package=rplos"
}


text:
DEPENDS = "mythtv"
inherit qmake2

PR = "svnr${SRCPV}+r1"
PV = "0.22"

SRCREV = "23062"
SRC_URI = \
"svn://svn.mythtv.org/svn/branches/release-0-22-fixes;module=myththemes;proto=http"

FILES_${PN} =+ "${datadir}"

S = "${WORKDIR}/myththemes"

do_configure() {
        ${S}/configure  --qmake=qmake2 --sysroot=${STAGING_DIR_HOST} --prefix=${prefix}
}

do_install () {
        oe_runmake install INSTALL_ROOT=${D}
}

license: MIT

repository: demsey/openembedded

repo_name: demsey/openembedded

branch_name: HEAD

extension: bb


text:
@inproceedings{bose2018dnrsense,
 abstract = {Driving style analysis and road anomaly detection have a remarkable impact on road safety. They directly influence road accidents and have been a vital area of research in order to address road safety problems. In this paper, a system called D&RSense have been proposed that uses GPS and accelerometer of smartphones to categorize driving style of drivers, assess the road quality as well as to give real-time warnings to drivers in order to make driving safer. D&RSense does the categorization through detection of driving events like acceleration and braking and road anomalies like bumps and potholes by using the popular machine learning technique, Support Vector Machine (SVM) and gives real-time warning and instructions to drivers using a locally running Fast Dynamic Time Warping (FastDTW) algorithm. Extensive experiments have been conducted to evaluate the effectiveness of the proposed system.},
 author = {Beepa Bose and Joy Dutta and Subhashis Ghosh and Pradip Pramanick and Sarbani Roy},
 booktitle = {2018 3rd International Conference On Internet of Things: Smart Innovation and Usages (IoT-SIU)},
 doi = {10.1109/IoT-SIU.2018.8519861},
 keywords = {driver information systems, Global Positioning System, road safety, road anomaly detection, real-time warnings, Dynamic Time Warping algorithm},
 month = {Feb},
 pages = {1-7},
 title = {D&RSense: Detection of Driving Patterns and Road Anomalies},
 year = {2018}
}

repository: pradippramanick/academic-kickstart

repo_name: pradippramanick/academic-kickstart

gha_license_id: MIT


text:
DESCRIPTION = "Startup notification support"
LICENSE = "LGPL"
SECTION = "libs"
PRIORITY = "optional"
DEPENDS = "virtual/libx11"

inherit autotools pkgconfig

SRC_URI = "http://www.freedesktop.org/software/startup-notification/releases/startup-notification-${PV}.tar.gz"

SRC_URI[md5sum] = "c7a96f4615b07ed847061b0a9a0be989"
SRC_URI[sha256sum] = "7d2f388f7b50fc5c929ef173c2df900c588329ab07c16184dee3745a26ac54ae"
#CHECKSUMS.INI MISMATCH: I've got this instead:
#SRC_URI[md5sum] = "6ff189db7682999018ed0a9d7de65fc8"
#SRC_URI[sha256sum] = "e27dfb11425c900f3703e611359c6b61c522216a396d7ecaac8232203848312b"

repository: overo/overo-oe-natty

repo_name: overo/overo-oe-natty


text:
@InProceedings{anderson15,
  supplementary = {Supplementary:anderson15-supp.pdf},
  title = {{Spectral Gap Error Bounds for Improving CUR Matrix Decomposition and the Nystr\"{o}m Method}},
  author = {Anderson, David and Du, Simon and Mahoney, Michael and Melgaard, Christopher and Wu, Kunming and Gu, Ming},
  pages = {19-27},
  abstract = {The CUR matrix decomposition and the related Nystr\"{o}m  method build low-rank approximations of data matrices by selecting a small number of representative rows and columns of the data.  Here, we introduce novel \emph{spectral gap error bounds} that judiciously exploit the potentially rapid spectrum decay in the input matrix, a most common occurrence in machine learning and data analysis. Our error bounds are much tighter than existing ones for matrices with rapid spectrum decay, and they justify the use of a constant amount of oversampling relative to the rank parameter $k$, i.e, when the number of columns/rows is $\ell=k+ O(1)$.  We demonstrate our analysis on a novel deterministic algorithm, \emph{StableCUR}, which additionally eliminates a previously unrecognized source of potential instability in CUR decompositions.  While our algorithm accepts any method of row and column selection, we implement it with a recent column selection scheme with strong singular value bounds.  Empirical results on various classes of real world data matrices demonstrate that our algorithm is as efficient as and often outperforms competing algorithms.},
}

repository: mreid/papersite

repo_name: mreid/papersite

gha_language: TeX


text:
@ARTICLE{1998PhRvE..57.7111K,
  author       = {{Kinney}, R.~M. and {McWilliams}, J.~C.},
  title        = {{Turbulent cascades in anisotropic magnetohydrodynamics}},
  journal      = pre,
  keywords     = {Plasma turbulence, Magnetohydrodynamic and fluid equation},
  year         = {1998},
  month        = jun,
  volume       = {57},
  pages        = {7111-7121},
  doi          = {10.1103/PhysRevE.57.7111},
  adsurl       = {http://adsabs.harvard.edu/abs/1998PhRvE..57.7111K},
  adsnote      = {Provided by the SAO/NASA Astrophysics Data System},
}

@ARTICLE{1998UFN,
  author       = {Котельников, И. А. and Астрелин, В. Т.},
  title        = {Теория плазменного эмиттера положительных ионов},
  journal      = ufn,
  keywords     = {плазменный эмиттер, критерий Бома},
  year         = {2015},
  month        = jul,
  volume       = {185},
  pages        = {753-771},
  language     = {russian},
  doi          = {10.3367/UFNr.0185.201507c.0753},
  url          = {http://ufn.ru/ru/articles/2015/7/c/},
}


text:
if (PREFER_SYSTEM_LIBRARIES)
    pkg_search_module(NODE node)
endif(PREFER_SYSTEM_LIBRARIES)
if (NOT NODE_FOUND)
    message(STATUS "Using built-in nodejs library")
    set(NODE_INCLUDE_DIRS ${NODEDIR}/src ${NODEDIR}/deps/uv/include ${NODEDIR}/deps/v8/include ${NODEDIR}/deps/cares/include)

  if (NOT BUILD_WITH_STATIC_NODE)
      set(NODE_LIBRARY_DIRS ${NODE_LIBRARY_DIRS} ${NODEDIR}/out/Release/obj.target)
      set(NODE_LIBRARIES ${NODE_LIBRARIES} node)
  else(NOT BUILD_WITH_STATIC_NODE)
      set(NODE_LIBRARY_DIRS ${NODE_LIBRARY_DIRS}
          ${NODEDIR}/out/Release/obj.target
          ${NODEDIR}/out/Release/obj.target/deps/v8_inspector/third_party/v8_inspector/platform/v8_inspector
          ${NODEDIR}/out/Release/obj.target/deps/uv
          ${NODEDIR}/out/Release/obj.target/deps/v8/tools/gyp
          ${NODEDIR}/out/Release/obj.target/deps/cares
          ${NODEDIR}/out/Release/obj.target/deps/zlib
          ${NODEDIR}/out/Release/obj.target/deps/http_parser
          ${NODEDIR}out/Release/obj.target/tools/icu
         )

      set(NODE_LIBRARIES ${NODE_LIBRARIES}
          node
          v8_inspector_stl
          uv
          v8_snapshot
          v8_base
          v8_nosnapshot
          v8_libplatform
          v8_libbase
          cares
          zlib
          http_parser
          icustubdata
          icui18n
          icuucx
          icudata
         )
  endif(NOT BUILD_WITH_STATIC_NODE)
endif(NOT NODE_FOUND)

repository: BunioFH/pxCore

repo_name: BunioFH/pxCore

extension: cmake


text:
@inproceedings{Anke.2016,
 abstract = {Intelligentes Parken – „Smart Parking“ – verspricht eine effiziente Organisation des ruhenden Verkehrs und bildet eine konkrete Applikation im Rahmen des Konzepts Smart City. Die vielfältigen Auswirkungen des Einsatzes analysiert dieser Beitrag. Anhand der Ziele verschiedener Akteure und der Funktionen von Smart Parking Systemen wird der Nutzen abgeleitet und mit Erfahrungen von Pilotinstallationen exemplarisch quantifiziert.},
 author = {Anke, Jürgen and Scholle, Julia},
 booktitle = {Digitale Transformation: Methoden, Kompetenzen und Technologien für die Verwaltung},
 editor = {Rätz, Detlef and Breidung, Michael and Lück-Schneider, Dagmar and Kaiser, Siegfried and Schweighofer, Erich},
 file = {175.pdf},
 pages = {175--187},
 series = {Lecture Notes in Informatics},
 title = {Nutzenpotenziale von Smart Parking},
 year = {2016}
}


text:
@article{gs78,
    author  = "Leo J. Guibas and Robert Sedgewick",
    title   = "A dichromatic framework for balanced trees",
    journal = "IEE Symposium of Foundations of Computer Science",
    pages   = "8--21",
    year    = "1978"
}

@book{oka98,
    author    = "Chris Okasaki",
    title     = "Purely Functional Data Structures",
    year      = "1998",
    publisher = "Cambridge University Press"
}

@book{clr90,
    author    = "Cormen, T. H. and Leiserson, C. E. and Rivest, R. L.",
    title     = "Introduction to algorithms",
    year      = "1990",
    publisher = "MIT Press"
}

@misc{wikipedia,
    author    = "cabal",
    title     = "Red-black tree",
    url       = "https://en.wikipedia.org/wiki/Red-black_tree"
}

@misc{cabal,
  title = "Cabal: User Guide",
  howpublished = {\url{https://cabal.readthedocs.io/en/latest/}}
}

@misc{haddock,
  title = "Haddock: User Guide",
  author = "Marlow, Simon",
  howpublished = {\url{https://haskell-haddock.readthedocs.io/en/latest/index.html}}
}

@misc{haskell,
  title = "Haskell: An advanced, purely functional programming language",
  howpublished = {\url{https://www.haskell.org/}}
}

@misc{quickcheck,
  title = "QuickCheck: Automatic testing of Haskell programs",
  howpublished = {\url{https://hackage.haskell.org/package/QuickCheck-2.13.2}}
}

repository: monadplus/okasaki

repo_name: monadplus/okasaki


text:
DESCRIPTION = "GNU Project parser generator (yacc replacement)."
HOMEPAGE = "http://www.gnu.org/software/bison/"
LICENSE = "GPL"
SECTION = "devel"
PRIORITY = "optional"

PR = "r1"

SRC_URI = "${GNU_MIRROR}/bison/bison-${PV}.tar.gz \
	   file://m4.patch;patch=1"

inherit autotools

# >> bison-2.3-r0: /usr/lib/liby.a
# That one is a special case: it wants to stay in the main bison package,
# since bison itself is a development tool.  I'm not sure why it is a
# static-only library; that might be an error.

FILES_${PN} += "${libdir}/liby.a"


text:
@article{young_organic_2016,
 author = {Young, Margaret and Suddard-Bangsund, John and Patrick, Tyler J. and Pajares, Natalia and Traverse, Christopher J. and Barr, Miles C. and Lunt, Sophia Y. and Lunt, Richard R.},
 doi = {10.1002/adom.201600102},
 file = {Snapshot:/Users/jsb/Zotero/storage/FW5WA6WF/abstract.html:text/html;Young et al_2016_Advanced Optical Materials_Organic Heptamethine Salts for Photovoltaics and Detectors with Near-Infrared.pdf:C\:\\Users\\JSB\\Google Drive\\Papers-Zotfile\_\\Young et al_2016_Advanced Optical Materials_Organic Heptamethine Salts for Photovoltaics and Detectors with Near-Infrared.pdf:application/pdf;Young et al_2016_Advanced Optical Materials_Organic Heptamethine Salts for Photovoltaics and Detectors with Near-Infrared.pdf:C\:\\Users\\JSB\\Google Drive\\Papers-Zotfile\\CV\\Young et al_2016_Advanced Optical Materials_Organic Heptamethine Salts for Photovoltaics and Detectors with Near-Infrared.pdf:application/pdf},
 issn = {2195-1071},
 journal = {Advanced Optical Materials},
 keywords = {energy level tuning, near-infrared solar harvesting, organic salts, transparent solar cells, exciton binding energy},
 language = {en},
 month = {jul},
 number = {7},
 pages = {1028--1033},
 title = {Organic Heptamethine Salts for Photovoltaics and Detectors with Near-Infrared Photoresponse up to 1600 nm},
 url = {http://onlinelibrary.wiley.com/doi/10.1002/adom.201600102/abstract},
 urldate = {2018-02-14},
 volume = {4},
 year = {2016}
}

repository: jsbangsund/academic-kickstart

repo_name: jsbangsund/academic-kickstart