text:
BRUGMANN J, 1996, ENVIRON IMPACT ASSES, V16, P363.
   Bullard C.W., 1978, RESOUR ENERG, V1, P267, DOI DOI 10.1016/0165-0572(78)90008-7.
   Button K, 2002, ECOL ECON, V40, P217, DOI 10.1016/S0921-8009(01)00255-5.
   Camagni R, 2002, ECOL ECON, V40, P199, DOI 10.1016/S0921-8009(01)00254-3.
   Carlsson-Kanyama A., 2002, HOUSEHOLD METABOLISM, V177.
   CARTER AP, 1989, J POLICY MODEL, V11, P7, DOI 10.1016/0161-8938(89)90022-7.
   CLOSE A, 1998, WORKING PAPER SERIES, V98.
   COHEN CAM, 2004, IN PRESS ENERGY POLI.
   Crama Y, 1984, ECON APPL, V37, P215.
   CZAMANSKI S, 1969, REGIONAL SCI ASS PAP, V23, P65.
   de Bruyn SM, 1999, HANDBOOK OF ENVIRONMENTAL AND RESOURCE ECONOMICS, P656.
   DeAngelo B, 1998, LOCAL ENVIRON, V3, P111, DOI DOI 10.1080/13549839808725553.
   DEFOURNY J, 1984, ECON J, V94, P111, DOI 10.2307/2232220.
   {*}DEP ENV SPORT TER, 1991, MOR LESS.
   DIXON R, 1996, AUSTR EC REV, V396, P327.
   DUCHIN F, 1992, P NATL ACAD SCI USA, V89, P851, DOI 10.1073/pnas.89.3.851.
   FISHER F, 1980, HOUSEHOLD ENERGY USE.
   Folke C, 1997, AMBIO, V26, P167.
   FORSSELL O, 1998, ECON SYST RES, V10, P183, DOI DOI 10.1080/09535319808565473.
   FORSSELL O, 1998, ECON SYST RES, V10, P91.
   GORDON P, 1980, ENVIRON PLANN A, V12, P125, DOI 10.1068/a120125.
   GROSSMAN GM, 1995, Q J ECON, V110, P353, DOI 10.2307/2118443.
   HAWDON D, 1995, ENERG ECON, V17, P73, DOI 10.1016/0140-9883(95)98908-M.
   HAWKINS RG, 1975, ECON REC, V51, P1, DOI 10.1111/j.1475-4932.1975.tb00219.x.
   Herendeen R., 1978, ENERGY, V3, P615.
   Herendeen R., 1976, ENERGY, V1, P165, DOI DOI 10.1016/0360-5442(76)90015-3.
   HERENDEEN RA, 1978, ENERG POLICY, V6, P162, DOI 10.1016/0301-4215(78)90039-3.
   HERENDEEN RA, 1981, ENERGY, V6, P1433, DOI 10.1016/0360-5442(81)90069-4.
   Hirsch W. Z., 1963, STRUCTURAL INTERDEPE, P151.
   HIRSCH WZ, 1959, REV ECON STAT, V41, P360, DOI 10.2307/1927263.
   ISARD W, 1972, ECOLOGIC EC ANAL REG.
   IYERRANIGA U, 1999, ENVIRONMENTALIST, V19, P229.
   Kalma J.D., 1972, P ECOLOGICAL SOC AUS, V7, P125.
   KALMA JD, 1976, INT J ENVIRON STUD, V9, P53, DOI 10.1080/00207237608737609.
   KATES RW, 1998, LOCAL ENVIRON, V3, P279, DOI DOI 10.1080/13549839808725566.
   Kenworthy JR, 1996, ENVIRON IMPACT ASSES, V16, P279, DOI 10.1016/S0195-9255(96)00023-6.
   Kondo Y, 1996, T SOC ENV SCI, V9, P231.
   Lariviere I, 1999, ENERG ECON, V21, P53, DOI 10.1016/S0140-9883(98)00007-3.
   Lenzen M, 1998, ENERGY, V23, P497, DOI 10.1016/S0360-5442(98)00020-6.
   Lenzen M, 1998, ENERG POLICY, V26, P495, DOI 10.1016/S0301-4215(98)00012-3.
   Lenzen M, 2002, J CLEAN PROD, V10, P545, DOI 10.1016/S0959-6526(02)00007-0.
   Lenzen M, 2001, ECOL ECON, V37, P229, DOI 10.1016/S0921-8009(00)00275-5.
   Lenzen M, 1999, TRANSPORT RES D-TR E, V4, P265, DOI 10.1016/S1361-9209(99)00009-7.
   Lenzen M., 2001, CANADIAN J ENV ED, V6, P32.
   LENZEN M, 2000, AUSTR J ENV ED, V15, P69.
   Lenzen M, 2001, ECON SYST RES, V13, P65, DOI {[}10.1080/09535310120026256, DOI 10.1080/09535310120026256].
   LENZEN M, 2002, AUSTR J ENV ED, V18, P35, DOI DOI 10.1017/S0814062600001105.
   Lenzen M, 2000, J IND ECOL, V4, P127, DOI DOI 10.1162/10881980052541981.
   LEONTIEF W, 1970, REV ECON STAT, V52, P262, DOI 10.2307/1926294.
   Leontief W, 1971, 5 INT C INP OUTP TEC, P9.
   Leontief W., 1941, STRUCTURE AM EC 1919.
   Leontief WW, 1936, REV ECON STATISTICS, V18, P105, DOI 10.2307/1927837.
   Luck MA, 2001, ECOSYSTEMS, V4, P782, DOI 10.1007/s10021-001-0046-8.
   LUND H, 1998, LOCAL ENVIRON, V3, P43.
   MCCOLLKENNEDY JR, 1985, AES WORKING PAPER, V3.
   Miller R.E., 1985, INPUT OUTPUT ANAL FD.
   MILLER RE, 1989, FRONTIERS INPUT OUTP.
   Moffatt I, 2000, ECOL ECON, V32, P359.
   MOLL HC, 2002, SUSTAINABLE DEV CITY.
   MORRISON WI, 1974, J REGIONAL SCI, V14, P1, DOI 10.1111/j.1467-9787.1974.tb00425.x.
   Munksgaard J, 2000, ENERG ECON, V22, P423, DOI 10.1016/S0140-9883(99)00033-X.
   {*}NAT GREENH GAS IN, 1998, AUSTR METH EST GREEN.
   Newman P.W.G., 1989, CITIES AUTOMOBILE DE.
   NEWMAN PWG, 1982, URBAN ECOL, V7, P19, DOI 10.1016/0304-4009(82)90003-1.
   {*}NSW DEP EN UT, 2000, EN GLANC.
   {*}NSW DEP TRANSP, 2001, HOUS TRAV SURV SYDN.
   Opschoor H, 2000, ECOL ECON, V32, P363.
   Pachauri S, 2004, ENERG POLICY, V32, P1723, DOI 10.1016/S0301-4215(03)00162-9.
   Pachauri S, 2002, ENERG POLICY, V30, P511, DOI 10.1016/S0301-4215(01)00119-7.
   PEET NJ, 1986, ENERGY, V11, P659, DOI 10.1016/0360-5442(86)90146-5.
   PEET NJ, 1985, ENERGY, V10, P1197, DOI 10.1016/0360-5442(85)90036-2.
   POULSEN MF, 1988, ENVIRON PLANN A, V20, P327, DOI 10.1068/a200327.
   Proops J. L. R, 1988, INPUT OUTPUT ANAL CU, P201.
   Rabinovitch J, 1996, LAND USE POLICY, V13, P51, DOI 10.1016/0264-8377(95)00023-2.
   Rapport DJ, 2000, ECOL ECON, V32, P367.
   Rees W, 1996, ENVIRON IMPACT ASSES, V16, P223, DOI 10.1016/S0195-9255(96)00022-4.
   REINDERS AHM, 2002, IN PRESS DIRECT INDI.
   SCHLIEBS R, 1999, RRD NEUROCHEMISTRY 1, V2, P1.
   SHAFIK N, 1994, OXFORD ECON PAP, V46, P757, DOI 10.1093/oep/46.Supplement\_1.757.
   Shepherd A, 1996, ENVIRON IMPACT ASSES, V16, P321, DOI 10.1016/S0195-9255(96)00071-6.
   Smith A., 1776, INQUIRY NATURE CAUSE.
   Smith JB, 1998, PSYCHOL MARKET, V15, P3, DOI 10.1002/(SICI)1520-6793(199801)15:1<3::AID-MAR2>3.0.CO;2-I.
   SMITH P, 1974, SIMULATING URBAN EC.
   {*}STAT RAIL AUTH NE, 1999, ANN REP 1998 99.
   {*}STAT RAIL AUTH NE, 1995, 15 ANN REP.
   STOKES D, 1994, J ENVIRON MANAGE, V40, P197, DOI 10.1006/jema.1994.1015.
   {*}T SMITH ASS, 2002, CIT CLIM PROT GREENH.
   TAPLIN R., 1999, AUSTR ENV POLICY, P166.
   Tiebout C. M, 1960, TECHNIQUES URBAN EC, P395.
   Treloar G., 1997, ECON SYST RES, V9, P375, DOI DOI 10.1080/09535319700000032.
   TRELOAR GJ, 2000, CONSTRUCT MANAG EC, V18, P5, DOI DOI 10.1080/014461900370898.
   TRELOAR GJ, 1998, THESIS DEAKIN U GEEL.
   Troy P., 2003, URBAN POLICY RES, V21, P9, DOI DOI 10.1080/0811114032000062128.
   Tucker M, 1995, ECOL ECON, V15, P215, DOI 10.1016/0921-8009(95)00045-3.
   van Kooten GC, 2000, ECOL ECON, V32, P385.
   VRINGER K, 1995, ENERG POLICY, V23, P893, DOI 10.1016/0301-4215(95)00072-Q.
   Wackernagel M, 1999, AMBIO, V28, P604.
   WACKERNAGEL M, 1998, LOCAL ENVIRON, V3, P7.
   Walker L. A., 1997, ECOCITY DIMENSIONS, P96.
   Weber C, 2000, ENERG POLICY, V28, P549, DOI 10.1016/S0301-4215(00)00040-9.
   Weber C, 1993, ENERGIEWIRTSCHAFT, V43, P605.
   WEBER C, 1995, VDI BER, V1204, P15.
   Wier M., 2001, ECON SYST RES, V13, P259, DOI DOI 10.1080/09537320120070149.}},
Number-of-Cited-References = {{128}},
Times-Cited = {{163}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{72}},
Journal-ISO = {{Ecol. Econ.}},
Doc-Delivery-Number = {{848VT}},
Unique-ID = {{ISI:000223496900010}},
DA = {{2020-08-06}},
}

@article{ ISI:000222886800001,
Author = {Schneider, C and Gies, D},
Title = {{Effects of El Nino-southern oscillation on southernmost South America
   precipitation at 53 degrees S revealed from NCEP-NCAR reanalyses and
   weather station data}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2004}},
Volume = {{24}},
Number = {{9}},
Pages = {{1057-1076}},
Month = {{JUL}},
Abstract = {{Monthly mean records of climate data over southern South America from
   the National Centers for Environmental Prediction (NCEP)-National Center
   for Atmospheric Research (NCAR) reanalysis project (NNR) were processed
   to determine possible teleconnections of El Ni (n) over tildeo-southern
   oscillation with precipitation at 53degreesS in the southernmost Andes.
   The NNR data used include precipitation rate, zonal wind speed and
   sea-level pressure (SLP). All data were correlated to the southern
   oscillation index (SOI) allowing for time leads/time lags of up to 8
   months. Significant positive correlation at the 99\% level between SOI
   and SLP is obtained north of 40degreesS (r = 0.4). SLP south of
   58degreesS negatively correlates with SOI (r = -0.3). In consequence,
   during El Ni (n) over tildeo events the SLP gradient over Patagonia
   decreases, leading to lower wind speeds. Precipitation on the west coast
   of Patagonia depends greatly on the strength of the west winds due to
   orographically induced precipitation. According to this, positive
   correlation (r = 0.4) between SOI and precipitation rate anomalies is
   found west of the Patagonian coastline between 45 and 55degreesS based
   on annually averaged data. Precipitation decreases by about 15\% during
   strong El Ni (n) over tilde os. The correlation decreases to
   insignificant values east of the Andes mountain range. Correlation
   between SLP gradient and SOI along the west coast of southern Patagonia
   is largest from austral spring to summer in year 0 of an El Ni (n) over
   tildeo event and in April of year +1. Correlations are particularly
   strong at a time lag of +1 and +2 months, with SOI leading the SLP
   gradient. Correlation was found to vary in time, with weak correlations
   during the 1970s and early 1980s and enhancing teleconnection towards
   the turn of the century. The generally weak positive correlation between
   precipitation and SOI was also found by comparing precipitation data
   from weather stations at 53degreesS on the west coast of South America
   with SOI. Copyright (C) 2004 Royal Meteorological Society.}},
Publisher = {{JOHN WILEY \& SONS LTD}},
Address = {{THE ATRIUM, SOUTHERN GATE, CHICHESTER PO19 8SQ, W SUSSEX, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Schneider, C (Corresponding Author), Univ Freiburg, Inst Phys Geog, Werderring 4, D-79085 Freiburg, Germany.
   Univ Freiburg, Inst Phys Geog, D-79085 Freiburg, Germany.}},
DOI = {{10.1002/joc.1057}},
ISSN = {{0899-8418}},
Keywords = {{ENSO; South America; patagonia; NCEP-NCAR; precipitation;
   teleconnections; correlation}},
Keywords-Plus = {{SEA-SURFACE TEMPERATURE; ANTARCTIC CIRCUMPOLAR WAVE; LOW-FREQUENCY
   VARIABILITY; HEMISPHERE CIRCULATION; RAINFALL VARIABILITY;
   GENERAL-CIRCULATION; CLIMATE VARIABILITY; PRINCIPAL MODES;
   HIGH-LATITUDES; ANDEAN REGION}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{christoph.schneider@geographie.uni-freiburg.de}},
ResearcherID-Numbers = {{Schneider, Christoph/V-2150-2017
   }},
ORCID-Numbers = {{Schneider, Christoph/0000-0002-9914-3217}},
Cited-References = {{ACEITUNO P, 1988, MON WEATHER REV, V116, P505, DOI 10.1175/1520-0493(1988)116<0505:OTFOTS>2.0.CO;2.
   Allan R, 1996, EL NINO SO OSCILLATI.
   BJERKNES J, 1969, MON WEATHER REV, V97, P163, DOI 10.1175/1520-0493(1969)097<0163:ATFTEP>2.3.CO;2.
   Cerveny R., 1998, CLIMATES SO CONTINEN, P107.
   CERVENY RS, 1987, MON WEATHER REV, V115, P620, DOI 10.1175/1520-0493(1987)115<0620:APIOAR>2.0.CO;2.
   Chen B, 1996, MON WEATHER REV, V124, P1711, DOI 10.1175/1520-0493(1996)124<1711:EOTTSJ>2.0.CO;2.
   Coelho CAS, 2002, THEOR APPL CLIMATOL, V71, P185, DOI 10.1007/s007040200004.
   Compagnucci RH, 1998, INT J CLIMATOL, V18, P1593, DOI 10.1002/(SICI)1097-0088(19981130)18:14\<1593::AID-JOC327\>3.0.CO;2-U.
   COMPAGNUCCI RH, 2000, SO HEMISPHERE PALEO, P176.
   Cullather RI, 1996, J GEOPHYS RES-ATMOS, V101, P19109, DOI 10.1029/96JD01769.
   Daniels LD, 2000, PHYS GEOGR, V21, P223, DOI 10.1080/02723646.2000.10642707.
   Dawson AG, 2000, GEOGRAPHY, V85, P193.
   Depetris PJ, 2000, GLOBAL PLANET CHANGE, V26, P367, DOI 10.1016/S0921-8181(00)00049-7.
   FRANK A, 2002, THESIS U FREIBURG.
   Garreaud RD, 1999, J CLIMATE, V12, P2113, DOI 10.1175/1520-0442(1999)012<2113:IEAIEL>2.0.CO;2.
   Giese BS, 2002, GEOPHYS RES LETT, V29, DOI 10.1029/2001GL013268.
   GRAHAM NE, 1994, CLIM DYNAM, V10, P135, DOI 10.1007/BF00210626.
   Grimm AM, 2000, J CLIMATE, V13, P35, DOI 10.1175/1520-0442(2000)013<0035:CVISSA>2.0.CO;2.
   Grimm AM, 1998, J CLIMATE, V11, P2863, DOI 10.1175/1520-0442(1998)011<2863:PAISBA>2.0.CO;2.
   Harangozo SA, 2000, INT J CLIMATOL, V20, P663, DOI 10.1002/(SICI)1097-0088(200005)20:6<663::AID-JOC493>3.0.CO;2-I.
   Harangozo SA, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2003GL018667.
   Hines KM, 2000, J CLIMATE, V13, P3940, DOI 10.1175/1520-0442(2000)013<3940:ASPTIT>2.0.CO;2.
   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.
   Houseago-Stokes RE, 2000, INT J CLIMATOL, V20, P793, DOI 10.1002/1097-0088(20000615)20:7<793::AID-JOC502>3.0.CO;2-9.
   Kalnay E, 1996, B AM METEOROL SOC, V77, P437, DOI 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2.
   Karoly DJ, 1996, INT J CLIMATOL, V16, P723, DOI 10.1002/(SICI)1097-0088(199607)16:7<723::AID-JOC54>3.3.CO;2-Y.
   KAROLY DJ, 1989, J CLIMATE, V2, P1239, DOI 10.1175/1520-0442(1989)002<1239:SHCFAW>2.0.CO;2.
   Kidson JW, 1999, J CLIMATE, V12, P2808, DOI 10.1175/1520-0442(1999)012<2808:PMOSHL>2.0.CO;2.
   Kiladis GN, 1989, J CLIMATE, V2, P1069, DOI 10.1175/1520-0442(1989)002<1069:GCAAWE>2.0.CO;2.
   Kistler R, 2001, B AM METEOROL SOC, V82, P247, DOI 10.1175/1520-0477(2001)082<0247:TNNYRM>2.3.CO;2.
   Kwok R, 2002, J CLIMATE, V15, P487, DOI 10.1175/1520-0442(2002)015<0487:SOCASI>2.0.CO;2.
   Marshall GJ, 2000, GEOPHYS RES LETT, V27, P3057, DOI 10.1029/2000GL011363.
   Marshall GJ, 2002, INT J CLIMATOL, V22, P1557, DOI 10.1002/joc.814.
   Marshall GJ, 2002, J CLIMATE, V15, P659, DOI 10.1175/1520-0442(2002)015<0659:TIAGHA>2.0.CO;2.
   MILLER A, 1976, WORLD SURVEY CLIMATO, V12, P113.
   MINETTI JL, 1989, INT J CLIMATOL, V9, P55, DOI 10.1002/joc.3370090105.
   Mo KC, 2000, J CLIMATE, V13, P3599, DOI 10.1175/1520-0442(2000)013<3599:RBLFVI>2.0.CO;2.
   Mo KC, 1998, MON WEATHER REV, V126, P1581, DOI 10.1175/1520-0493(1998)126<1581:TPSAMA>2.0.CO;2.
   Mo KC, 2001, INT J CLIMATOL, V21, P1211, DOI 10.1002/joc.685.
   Montecinos A, 2003, J CLIMATE, V16, P281, DOI {[}10.1175/1520-0442(2003)016<0281:SOTERR>2.0.CO;2, 10.1175/1520-0442(2003)016\<0281:SOTERR\>2.0.CO;2].
   Peterson RG, 1998, J GEOPHYS RES-OCEANS, V103, P24573, DOI 10.1029/98JC01947.
   Pezzi LP, 2001, CLIM DYNAM, V17, P205, DOI 10.1007/s003820000104.
   PHILANDER SGH, 1990, EL NINO NIA SO OSCIL.
   PISCIOTTANO G, 1994, J CLIMATE, V7, P1286, DOI 10.1175/1520-0442(1994)007<1286:ENSOIO>2.0.CO;2.
   Pittock A. B., 1984, Australian Meteorological Magazine, V32, P75.
   PITTOCK AB, 1980, MON WEATHER REV, V108, P1362, DOI 10.1175/1520-0493(1980)108<1362:POCVIA>2.0.CO;2.
   PITTOCK AB, 1980, MON WEATHER REV, V108, P1347, DOI 10.1175/1520-0493(1980)108<1347:POCVIA>2.0.CO;2.
   RASMUSSON EM, 1982, MON WEATHER REV, V110, P354, DOI 10.1175/1520-0493(1982)110<0354:VITSST>2.0.CO;2.
   Renwick JA, 1999, MON WEATHER REV, V127, P2233, DOI 10.1175/1520-0493(1999)127<2233:BOTSPA>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.
   Ropelewski CF, 1989, J CLIMATE, V2, P268, DOI 10.1175/1520-0442(1989)002<0268:PPAWTH>2.0.CO;2.
   ROPELEWSKI CF, 1987, MON WEATHER REV, V115, P1606, DOI 10.1175/1520-0493(1987)115<1606:GARSPP>2.0.CO;2.
   Rosenbluth B, 1997, INT J CLIMATOL, V17, P67, DOI 10.1002/(SICI)1097-0088(199701)17:1<67::AID-JOC120>3.0.CO;2-G.
   RUTLLANT J, 1991, INT J CLIMATOL, V11, P63.
   Santana Ariel, 1999, Anales del Instituto de la Patagonia Serie Ciencias Naturales, V27, P117.
   Schneider C, 2003, PHYS GEOGR, V24, P97, DOI 10.2747/0272-3646.24.2.97.
   SCHONWIESE CD, 2000, PRAKTISCHE STAT METE.
   STRETEN NA, 1975, MON WEATHER REV, V103, P989, DOI 10.1175/1520-0493(1975)103<0989:SDITSC>2.0.CO;2.
   TRENBERTH KE, 1984, MON WEATHER REV, V112, P326, DOI 10.1175/1520-0493(1984)112<0326:SVNITS>2.0.CO;2.
   Trenberth KE, 1996, GEOPHYS RES LETT, V23, P57, DOI 10.1029/95GL03602.
   Trenberth KE, 1997, GEOPHYS RES LETT, V24, P3057, DOI 10.1029/97GL03092.
   Trenberth KE, 1997, B AM METEOROL SOC, V78, P2771, DOI 10.1175/1520-0477(1997)078<2771:TDOENO>2.0.CO;2.
   Trenberth KE, 2000, J CLIMATE, V13, P4358, DOI 10.1175/1520-0442(2000)013<4358:TSORSL>2.0.CO;2.
   TRENBERTH KE, 1994, CLIM DYNAM, V9, P303, DOI 10.1007/BF00204745.
   Turner J, 2004, INT J CLIMATOL, V24, P1, DOI 10.1002/joc.965.
   VANLOON H, 1987, MON WEATHER REV, V115, P370, DOI 10.1175/1520-0493(1987)115<0370:TSOPVA>2.0.CO;2.
   VILLALBA R, 2002, DENDROCLIMATIC RES S.
   WALSH K, 1994, J CLIMATE, V7, P1019, DOI 10.1175/1520-0442(1994)007<1019:OTIOTA>2.0.CO;2.
   WALSH KJ, 1990, INT J CLIMATOL, V10, P451, DOI 10.1002/joc.3370100503.
   WANG B, 1995, J CLIMATE, V8, P267, DOI 10.1175/1520-0442(1995)008<0267:ICIENO>2.0.CO;2.
   Waylen P, 2000, PHYS GEOGR, V21, P452, DOI 10.1080/02723646.2000.10642720.
   White WB, 1996, NATURE, V380, P699, DOI 10.1038/380699a0.
   Zamora E., 1979, ANALES I PATAGONIA, V10, P109.
   Zhou JY, 2001, INT J CLIMATOL, V21, P1623, DOI 10.1002/joc.700.}},
Number-of-Cited-References = {{74}},
Times-Cited = {{47}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{5}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{840VA}},
Unique-ID = {{ISI:000222886800001}},
DA = {{2020-08-06}},
}

@article{ ISI:000222791100005,
Author = {Zhang, YS and Li, T and Wang, B},
Title = {{Decadal change of the spring snow depth over the Tibetan Plateau: The
   associated circulation and influence on the East Asian summer monsoon}},
Journal = {{JOURNAL OF CLIMATE}},
Year = {{2004}},
Volume = {{17}},
Number = {{14}},
Pages = {{2780-2793}},
Month = {{JUL}},
Abstract = {{The decadal change in the spring snow depth over the Tibetan Plateau and
   impact on the East Asian summer monsoon are investigated using station
   observations of snow depth data and the NCEP-NCAR reanalysis for 1962 -
   93. During spring ( March - April), both the domain-averaged snow depth
   index ( SDI) and the first principal component of the empirical
   orthogonal function (EOF) analysis exhibit a sharp increase in snow
   depth after the late 1970s, which is accompanied by excessive
   precipitation and land surface cooling. The correlation between SDI and
   precipitation shows a coherent remote teleconnection from the Tibetan
   Plateau - northern India to western Asia.
   It is found that the increased snow depth over the plateau after the
   mid-1970s is concurrent with a deeper India - Burma trough, an
   intensified subtropical westerly jet as well as enhanced ascending
   motion over the Tibetan Plateau. Additional factors for the excessive
   snowfall include more moisture supply associated with the
   intensification of the southerly flow over the Bay of Bengal and an
   increase of humidity over the Indian Ocean. While the extensive changes
   of the circulation in Eurasia and the Indian Ocean are associated with a
   climate shift in the Northern Hemisphere after the mid-1970s, some
   regional factors such as the enhanced coupling between the sea surface
   temperature (SST) warming in the northern Indian Ocean/Maritime
   Continent and the tropical convective maximum (TCM), as well as local
   feedback of the land surface cooling due to excessive snow cover and the
   atmosphere may contribute to the regional circulation changes. The
   former enhances the western Pacific subtropical in the South China Sea -
   Philippine Sea through modulation of the local Hadley circulation and
   results in stronger pressure gradients and fronts in southeastern and
   eastern Asia.
   A close relationship exists between the interdecadal increase of snow
   depth over the Tibetan Plateau during March - April and a wetter summer
   rainfall over the Yangtze River valley and a dryer one in the southeast
   coast of China and the Indochina peninsula. It is proposed that the
   excessive snowmelt results in a surface cooling over the plateau and
   neighboring regions and high pressure anomalies that cause a more
   northwestward extension of the western Pacific subtropical high in the
   subsequent summer. Additionally, the increased surface moisture supply
   provides more energy for the development of the eastward-migrating
   low-level vortex over the eastern flank of the Tibetan Plateau. Both
   factors lead to a wetter summer in the vicinity of the Yangtze River
   valley.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Zhang, YS (Corresponding Author), Univ Hawaii Manoa, Sch Ocean \& Earth Sci \& Technol, Int Pacific Res Ctr, Post Bldg 401,1680 East West Rd, Honolulu, HI 96822 USA.
   Univ Hawaii Manoa, Sch Ocean \& Earth Sci \& Technol, Int Pacific Res Ctr, Honolulu, HI 96822 USA.
   Univ Hawaii Manoa, Sch Ocean \& Earth Sci \& Technol, Dept Meteorol, Honolulu, HI 96822 USA.}},
DOI = {{10.1175/1520-0442(2004)017<2780:DCOTSS>2.0.CO;2}},
ISSN = {{0894-8755}},
Keywords-Plus = {{LARGE-SCALE CIRCULATION; TROPICAL PACIFIC SSTS; INDIAN MONSOON; WINTER
   SNOW; INTERANNUAL VARIABILITY; INTERDECADAL VARIATIONS; APPARENT
   RELATIONSHIP; SPATIAL VARIABILITY; SURROUNDING AREAS; MESOSCALE VORTEX}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{yshzhang@hawaii.edu}},
Cited-References = {{Bamzai AS, 2000, Q J ROY METEOR SOC, V126, P2575, DOI 10.1002/qj.49712656811.
   BAMZAI AS, 1999, J CLIMATE, V12, P3177.
   BARNETT TP, 1989, J ATMOS SCI, V46, P661, DOI 10.1175/1520-0469(1989)046<0661:TEOESC>2.0.CO;2.
   Becker B. D., 2001, MAUSAM, V52, P175.
   BLANC JJ, 1984, INT WORKSHOP POSIDON, V1, P23.
   Chang CP, 2000, J CLIMATE, V13, P4310, DOI 10.1175/1520-0442(2000)013<4310:IAIVOT>2.0.CO;2.
   Chang CP, 2000, J CLIMATE, V13, P4326, DOI 10.1175/1520-0442(2000)013<4326:IAIVOT>2.0.CO;2.
   Chen LT, 2000, ADV ATMOS SCI, V17, P18.
   DEY B, 1983, J GEOPHYS RES-OCEANS, V88, P5471, DOI 10.1029/JC088iC09p05471.
   DEY B, 1982, J APPL METEOROL, V21, P1929, DOI 10.1175/1520-0450(1982)021<1929:AARBES>2.0.CO;2.
   DICKSON RR, 1984, J CLIM APPL METEOROL, V23, P171, DOI 10.1175/1520-0450(1984)023<0171:ESCVIM>2.0.CO;2.
   Flohn H., 1957, J METEOR SOC JAPAN, V75, P180.
   HAHN DG, 1976, J ATMOS SCI, V33, P2461, DOI 10.1175/1520-0469(1976)033<2461:AARBES>2.0.CO;2.
   HEH DH, 1981, B AM METEOROL SOC, V62, P14.
   HUANG RH, 1992, J METEOROL SOC JPN, V70, P243, DOI 10.2151/jmsj1965.70.1B\_243.
   Kachi M, 1997, J METEOROL SOC JPN, V75, P657, DOI 10.2151/jmsj1965.75.3\_657.
   Kalnay E, 1996, B AM METEOROL SOC, V77, P437, DOI 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2.
   KUO YH, 1986, MON WEATHER REV, V114, P1984, DOI 10.1175/1520-0493(1986)114<1984:MAOTSF>2.0.CO;2.
   LATIF M, 1994, SCIENCE, V266, P634, DOI 10.1126/science.266.5185.634.
   LEGATES DR, 1990, INT J CLIMATOL, V10, P111, DOI 10.1002/joc.3370100202.
   LEGATES DR, 1990, THEOR APPL CLIMATOL, V41, P11, DOI 10.1007/BF00866198.
   Li CF, 1996, J CLIMATE, V9, P358, DOI 10.1175/1520-0442(1996)009<0358:TOAIVO>2.0.CO;2.
   LIU YM, 2002, DYNAMICS FORMATION V, P228.
   LUO H, 1984, MON WEATHER REV, V112, P966, DOI 10.1175/1520-0493(1984)112<0966:TLSCAH>2.0.CO;2.
   LUO HB, 1983, MON WEATHER REV, V111, P922, DOI 10.1175/1520-0493(1983)111<0922:TLSCAH>2.0.CO;2.
   NINOMIYA K, 1992, J METEOROL SOC JPN, V70, P467, DOI 10.2151/jmsj1965.70.1B\_467.
   Ose T, 1996, J METEOROL SOC JPN, V74, P845, DOI 10.2151/jmsj1965.74.6\_845.
   Parthasarathy B, 1995, Advances in Atmospheric Sciences, V12, P143, DOI 10.1007/BF02656828.
   Robock A, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2002JD002286.
   Shen XH, 1998, J METEOROL SOC JPN, V76, P217, DOI 10.2151/jmsj1965.76.2\_217.
   SHUKLA J, 1987, MON WEATHER REV, V115, P695, DOI 10.1175/1520-0493(1987)115<0695:EPOTSM>2.0.CO;2.
   Shukla J, 1984, PROBLEMS PROSPECTS L, P155, DOI DOI 10.1007/978-3-642-82132-5\_6.
   TAO SY, 1981, B AM METEOROL SOC, V62, P23, DOI 10.1175/1520-0477(1981)062<0023:OEOTIO>2.0.CO;2.
   TRENBERTH KE, 1994, CLIM DYNAM, V9, P303, DOI 10.1007/BF00204745.
   VERNEKAR AD, 1995, J CLIMATE, V8, P248, DOI 10.1175/1520-0442(1995)008<0248:TEOESC>2.0.CO;2.
   Walker G. T, 1910, MEM INDIAN METEOROL, VXXI, pXXII.
   Wang B, 2000, J CLIMATE, V13, P1517, DOI 10.1175/1520-0442(2000)013<1517:PEATHD>2.0.CO;2.
   WANG B, 1987, MON WEATHER REV, V115, P1370, DOI 10.1175/1520-0493(1987)115<1370:SOAHRV>2.0.CO;2.
   WANG B, 1987, J ATMOS SCI, V44, P2978, DOI 10.1175/1520-0469(1987)044<2978:TDMFTP>2.0.CO;2.
   WANG W, 1993, MON WEATHER REV, V121, P2542, DOI 10.1175/1520-0493(1993)121<2542:ADDMVI>2.0.CO;2.
   WILLMOTT CJ, 1985, AM CARTOGRAPHER, V12, P5, DOI 10.1559/152304085783914686.
   Wu G., 1996, ATMOSPHERIC CIRCULAT, P425.
   Wu GX, 1998, MON WEATHER REV, V126, P913, DOI 10.1175/1520-0493(1998)126<0913:TPFATT>2.0.CO;2.
   WU GX, 1985, Q J ROY METEOR SOC, V111, P1049, DOI 10.1256/smsqj.47008.
   Wu TW, 2003, J CLIMATE, V16, P2038, DOI 10.1175/1520-0442(2003)016\<2038:TRBTTW\>2.0.CO;2.
   YANG S, 1994, INT J CLIMATOL, V14, P739, DOI 10.1002/joc.3370140704.
   Yang S, 1996, INT J CLIMATOL, V16, P125, DOI 10.1002/(SICI)1097-0088(199602)16:2<125::AID-JOC999>3.0.CO;2-V.
   YASUNARI T, 1991, J METEOROL SOC JPN, V69, P473, DOI 10.2151/jmsj1965.69.4\_473.
   YIN MT, 1949, J METEOROL, V6, P393, DOI 10.1175/1520-0469(1949)006<0393:SASOTO>2.0.CO;2.
   ZWIERS FW, 1993, J CLIMATE, V6, P470.}},
Number-of-Cited-References = {{50}},
Times-Cited = {{259}},
Usage-Count-Last-180-days = {{15}},
Usage-Count-Since-2013 = {{128}},
Journal-ISO = {{J. Clim.}},
Doc-Delivery-Number = {{839NF}},
Unique-ID = {{ISI:000222791100005}},
DA = {{2020-08-06}},
}

@article{ ISI:000222791100010,
Author = {Cook, KH and Hsieh, JS and Hagos, SM},
Title = {{The Africa-South America intercontinental teleconnection}},
Journal = {{JOURNAL OF CLIMATE}},
Year = {{2004}},
Volume = {{17}},
Number = {{14}},
Pages = {{2851-2865}},
Month = {{JUL}},
Abstract = {{The influence of heating over Africa on the South American precipitation
   climatology, and the influence of South America on Africa, is examined
   through the application of GCM simulations with idealized boundary
   conditions and perpetual solstice ( January and July) conditions.
   The presence of Africa is associated with a pronounced ( up to 4 mm
   day(-1)) decrease in precipitation in Brazil's Nordeste region during
   austral summer. Low-level moisture divergence and dry-air advection
   associated with the downbranch of a Walker circulation induced by
   heating over southern Africa is amplified over the Nordeste due to the
   response of the land surface. The response is much smaller during
   austral winter due to differences in the heat source over Africa and a
   reduced sensitivity in the surface heat balance over tropical South
   America. Forcing from South America in January shifts the position of
   the South Indian convergence zone (SICZ) to the southwest over southern
   Africa in association with the formation of the South Atlantic
   convergence zone (SACZ). In July, a Rossby wave train generated over
   South America induces a response in the surface temperature of Africa
   that leads to stronger precipitation in central and western Africa.
   This study suggests a zonal mode of variability for South American and
   African circulation and precipitation fields. The resulting
   perturbations depend as much on land surface - atmosphere interactions
   as on the direct forcing from the adjacent continent, and the mechanisms
   are highly nonlinear.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Cook, KH (Corresponding Author), Cornell Univ, Dept Earth \& Atmospher Sci, Ithaca, NY 14853 USA.
   Cornell Univ, Dept Earth \& Atmospher Sci, Ithaca, NY 14853 USA.}},
DOI = {{10.1175/1520-0442(2004)017<2851:TAAIT>2.0.CO;2}},
ISSN = {{0894-8755}},
Keywords-Plus = {{SUBTROPICAL CONVERGENCE ZONES; PRECIPITATION; CIRCULATION; VARIABILITY;
   HEMISPHERE; RAINFALL; FIELDS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{khc6@cornell.edu}},
ResearcherID-Numbers = {{Cook, Kerry/B-4998-2011
   hagos, samson/K-5556-2012}},
Cited-References = {{Cook KH, 2000, J CLIMATE, V13, P3789, DOI 10.1175/1520-0442(2000)013<3789:TSICZA>2.0.CO;2.
   COOK KH, 1994, J CLIMATE, V7, P400, DOI 10.1175/1520-0442(1994)007<0400:MBWSDP>2.0.CO;2.
   Cook KH, 2001, J ATMOS SCI, V58, P2146, DOI 10.1175/1520-0469(2001)058<2146:ASHWRT>2.0.CO;2.
   GILL AE, 1980, Q J ROY METEOR SOC, V106, P447, DOI 10.1256/smsqj.44904.
   HOSKINS BJ, 1981, J ATMOS SCI, V38, P1179, DOI 10.1175/1520-0469(1981)038<1179:TSLROA>2.0.CO;2.
   HUFFMAN GJ, 1996, B AM METEOROL SOC, V78, P5.
   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, P1185, DOI 10.1175/1520-0442(1989)002<1185:OOTSPC>2.0.CO;2.
   KODAMA YM, 1993, J METEOROL SOC JPN, V71, P581, DOI 10.2151/jmsj1965.71.5\_581.
   Kodama YM, 1999, J ATMOS SCI, V56, P4032, DOI 10.1175/1520-0469(1999)056<4032:ROTAHS>2.0.CO;2.
   LEGATES DR, 1990, INT J CLIMATOL, V10, P111, DOI 10.1002/joc.3370100202.
   Lenters JD, 1995, J CLIMATE, V8, P2988, DOI 10.1175/1520-0442(1995)008<2988:SADOTR>2.0.CO;2.
   LENTERS JD, 1995, J CLIMATE, V8, P2113, DOI 10.1175/1520-0442(1995)008<2113:COTIOT>2.0.CO;2.
   Matsuno T, 1966, J METEOR SOC JAPAN, V44, P25, DOI DOI 10.2151/JMSJ1965.44.1\_25.
   Matthews E, 1984, 86107 NASA.
   MINTZ Y, 1993, J APPL METEOROL, V32, P1305, DOI 10.1175/1520-0450(1993)032\<1305:GFOSMA\>2.0.CO;2.
   Rodwell MJ, 2001, J CLIMATE, V14, P3192, DOI 10.1175/1520-0442(2001)014<3192:SAASM>2.0.CO;2.
   SHEA DJ, 1990, NCARTN345STR.
   Washington R, 1999, INT J CLIMATOL, V19, P1601, DOI 10.1002/(SICI)1097-0088(19991130)19:14\<1601::AID-JOC407\>3.0.CO;2-0.
   Zhou JY, 1998, J CLIMATE, V11, P1020, DOI 10.1175/1520-0442(1998)011<1020:DAMCEO>2.0.CO;2.}},
Number-of-Cited-References = {{20}},
Times-Cited = {{23}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{5}},
Journal-ISO = {{J. Clim.}},
Doc-Delivery-Number = {{839NF}},
Unique-ID = {{ISI:000222791100010}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000222602900016,
Author = {Otkin, JA and Martin, JE},
Title = {{The large-scale modulation of subtropical cyclogenesis in the central
   and eastern Pacific Ocean}},
Journal = {{MONTHLY WEATHER REVIEW}},
Year = {{2004}},
Volume = {{132}},
Number = {{7}},
Pages = {{1813-1828}},
Month = {{JUL}},
Abstract = {{An analysis of the composite large-scale circulation associated with
   periods of enhanced ( active) or diminished ( inactive) cyclogenesis in
   the subtropical central and eastern Pacific Ocean is presented.
   Composites were constructed using surface and tropospheric analyses from
   the ECMWF Tropical Ocean Global Atmosphere (TOGA) dataset for 10
   Northern Hemisphere cool seasons (1986-96). Active periods of
   subtropical cyclogenesis were defined to be periods in which two or more
   cyclones developed in close succession to each other, while inactive
   periods were defined to be periods of at least 10-days duration during
   which no cyclones with a subtropical origin were present in the Pacific
   basin.
   The analysis revealed that the occurrence of subtropical cyclones in the
   central and eastern Pacific Ocean is strongly linked to the strength and
   location of the Asian jet, with active periods characterized by a
   weaker, zonally retracted Asian jet while inactive periods are
   characterized by a stronger, zonally elongated Asian jet. Consideration
   of the stationary wavenumber, K-s, showed that the strong, zonally
   elongated jet characterizing inactive periods produced a continuous
   waveguide across the Pacific basin that severely limited the equatorward
   propagation of upper-level cyclones into the subtropical Pacific.
   However, the zonally retracted jet during active periods was associated
   with a poorly organized, or ``leakier,'' waveguide across the Pacific,
   which produced a decidedly more favorable situation for the equatorward
   propagation of upper-level cyclones leaving the exit region of the Asian
   jet.
   Outgoing longwave radiation data were used to explore the potential link
   between anomalous convection in the tropical Pacific and the occurrence
   of active and inactive periods. A detailed analysis of each active and
   inactive period revealed that only 55\% of the periods were
   characterized by the theoretically expected distribution of anomalous
   convection across the tropical Pacific (deemed ``correct'') and that
   30\% of the periods were actually characterized by the exact opposite
   distribution (deemed ``incorrect''). During correct active and correct
   inactive periods, Rossby wave dispersion away from anomalous tropical
   convection in the central Pacific is associated with an extratropical
   response resembling the Pacific-North American pattern. Further analysis
   revealed that the lack of subtropical cyclones during most incorrect
   inactive periods was associated with a strengthened and zonally
   elongated Asian jet. The observed broadening and weakening of the Asian
   jet that occurs during the transition to incorrect active periods
   suggests that barotropic energy conversions may play an important role
   in fostering a large-scale environment conducive to the frequent
   development of subtropical cyclones during incorrect active periods.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Martin, JE (Corresponding Author), Univ Wisconsin, Dept Atmospher \& Ocean Sci, 1225 W Dayton St, Madison, WI 53706 USA.
   Univ Wisconsin, Dept Atmospher \& Ocean Sci, Madison, WI 53706 USA.}},
DOI = {{10.1175/1520-0493(2004)132<1813:TLMOSC>2.0.CO;2}},
ISSN = {{0027-0644}},
EISSN = {{1520-0493}},
Keywords-Plus = {{NORTHERN-HEMISPHERE WINTER; OUTGOING LONGWAVE RADIATION; 500-MB HEIGHT
   FLUCTUATIONS; SHORT-TIME SCALES; TROPICAL CONVECTION; TELECONNECTION
   PATTERN; GLOBAL TELECONNECTIONS; CIRCULATION ANOMALIES; HORIZONTAL
   STRUCTURE; GEOPOTENTIAL HEIGHT}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{jon@aos.wisc.edu}},
ResearcherID-Numbers = {{Otkin, Jason/D-1737-2012}},
ORCID-Numbers = {{Otkin, Jason/0000-0003-4034-7845}},
Cited-References = {{BLACKMON ML, 1984, J ATMOS SCI, V41, P981, DOI 10.1175/1520-0469(1984)041<0981:TVOMHF>2.0.CO;2.
   BLACKMON ML, 1984, J ATMOS SCI, V41, P961, DOI 10.1175/1520-0469(1984)041<0961:HSOMHF>2.0.CO;2.
   BRANSTATOR G, 1983, J ATMOS SCI, V40, P1689, DOI 10.1175/1520-0469(1983)040<1689:HEPIAB>2.0.CO;2.
   Businger S, 1998, WEATHER FORECAST, V13, P576, DOI 10.1175/1520-0434(1998)013<0576:ABEASW>2.0.CO;2.
   Cash BA, 2001, J CLIMATE, V14, P1017, DOI 10.1175/1520-0442(2001)014<1017:ONGOTP>2.0.CO;2.
   CHU PS, 1993, J CLIMATE, V6, P1457, DOI 10.1175/1520-0442(1993)006<1457:DSOTCR>2.0.CO;2.
   DOLE RM, 1990, MON WEATHER REV, V118, P824, DOI 10.1175/1520-0493(1990)118<0824:LCOPAP>2.0.CO;2.
   Feldstein SB, 2002, Q J ROY METEOR SOC, V128, P775, DOI 10.1256/0035900021643683.
   GEISLER JE, 1985, J ATMOS SCI, V42, P1037, DOI 10.1175/1520-0469(1985)042<1037:SOJCRT>2.0.CO;2.
   Higgins RW, 1997, J CLIMATE, V10, P223, DOI 10.1175/1520-0442(1997)010<0223:PNPCAA>2.0.CO;2.
   Hoerling MP, 1997, J CLIMATE, V10, P1769, DOI 10.1175/1520-0442(1997)010<1769:ENOLNA>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.
   HOSKINS BJ, 1993, J ATMOS SCI, V50, P1661, DOI 10.1175/1520-0469(1993)050<1661:RWPOAR>2.0.CO;2.
   HOSKINS BJ, 1983, J ATMOS SCI, V40, P1595, DOI 10.1175/1520-0469(1983)040<1595:TSPAMF>2.0.CO;2.
   HOSKINS BJ, 1981, J ATMOS SCI, V38, P1179, DOI 10.1175/1520-0469(1981)038<1179:TSLROA>2.0.CO;2.
   HSU HH, 1992, MON WEATHER REV, V120, P1169, DOI 10.1175/1520-0493(1992)120<1169:GTITMS>2.0.CO;2.
   Kidson JW, 2002, J CLIMATE, V15, P137, DOI 10.1175/1520-0442(2002)015<0137:CPITTP>2.0.CO;2.
   Kiladis GN, 1997, MON WEATHER REV, V125, P1997, DOI 10.1175/1520-0493(1997)125<1997:HSASOL>2.0.CO;2.
   Kiladis GN, 1998, J ATMOS SCI, V55, P321, DOI 10.1175/1520-0469(1998)055<0321:OORWLT>2.0.CO;2.
   KNUTSON TR, 1987, MON WEATHER REV, V115, P1407, DOI 10.1175/1520-0493(1987)115<1407:DAOCLC>2.0.CO;2.
   Kodama K, 1997, WEATHER FORECAST, V12, P347, DOI 10.1175/1520-0434(1997)012<0347:HREOTS>2.0.CO;2.
   KOUSKY VE, 1985, MON WEATHER REV, V113, P2158, DOI 10.1175/1520-0493(1985)113<2158:TGCFDA>2.0.CO;2.
   LAU KM, 1986, J ATMOS SCI, V43, P1164, DOI 10.1175/1520-0469(1986)043<1164:CFOFGH>2.0.CO;2.
   Liebmann B, 1996, B AM METEOROL SOC, V77, P1275.
   LIVEZEY RE, 1987, MON WEATHER REV, V115, P3115, DOI 10.1175/1520-0493(1987)115<3115:TETDTN>2.0.CO;2.
   LYONS SW, 1982, J APPL METEOROL, V21, P1713, DOI 10.1175/1520-0450(1982)021<1713:EOFAOH>2.0.CO;2.
   Martin JE, 2004, WEATHER FORECAST, V19, P358, DOI 10.1175/1520-0434(2004)019<0358:TRGADO>2.0.CO;2.
   Matthews AJ, 1999, MON WEATHER REV, V127, P661, DOI 10.1175/1520-0493(1999)127<0661:TTEIBH>2.0.CO;2.
   Morrison I, 2001, WEATHER FORECAST, V16, P81, DOI 10.1175/1520-0434(2001)016<0081:SSAEOA>2.0.CO;2.
   Otkin JA, 2004, MON WEATHER REV, V132, P1502, DOI 10.1175/1520-0493(2004)132<1502:ASCOTS>2.0.CO;2.
   RAMAGE CS, 1962, J GEOPHYS RES, V67, P1401, DOI 10.1029/JZ067i004p01401.
   SCHUBERT SD, 1991, J ATMOS SCI, V48, P629, DOI 10.1175/1520-0469(1991)048<0629:LFITEI>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.
   SIMPSON RH, 1952, J METEOROL, V9, P24, DOI 10.1175/1520-0469(1952)009<0024:EOTKSA>2.0.CO;2.
   Ting MF, 1998, J ATMOS SCI, V55, P3565, DOI 10.1175/1520-0469(1998)055<3565:SRTTHI>2.0.CO;2.
   Trenberth KE, 1998, J GEOPHYS RES-OCEANS, V103, P14291, DOI 10.1029/97JC01444.
   WALLACE JM, 1981, MON WEATHER REV, V109, P784, DOI 10.1175/1520-0493(1981)109<0784:TITGHF>2.0.CO;2.
   Wang H, 2000, J CLIMATE, V13, P3435, DOI 10.1175/1520-0442(2000)013<3435:WMMAAO>2.0.CO;2.
   Wang JJ, 1998, WEATHER FORECAST, V13, P560, DOI 10.1175/1520-0434(1998)013<0560:AOTNRS>2.0.CO;2.
   WEICKMANN KM, 1985, MON WEATHER REV, V113, P941, DOI 10.1175/1520-0493(1985)113<0941:IDFOOL>2.0.CO;2.
   Wilks DS, 1995, STAT METHODS ATMOSPH.
   Yang GY, 1996, J ATMOS SCI, V53, P2365, DOI 10.1175/1520-0469(1996)053<2365:PORWON>2.0.CO;2.}},
Number-of-Cited-References = {{42}},
Times-Cited = {{15}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{5}},
Journal-ISO = {{Mon. Weather Rev.}},
Doc-Delivery-Number = {{837CA}},
Unique-ID = {{ISI:000222602900016}},
DA = {{2020-08-06}},
}

@article{ ISI:000222750600005,
Author = {Biles, JJ},
Title = {{Export-oriented industrialization and regional development: A case study
   of Maquiladora production in Yucatan, Mexico}},
Journal = {{REGIONAL STUDIES}},
Year = {{2004}},
Volume = {{38}},
Number = {{5}},
Pages = {{519-534}},
Month = {{JUL}},
Abstract = {{This study provides a critical appraisal of export-oriented
   industrialization (EOI), in the guise of maquiladora production, as a
   regional development strategy in the case of Yucatan, Mexico.
   Maquiladoras are export-oriented assembly plants characterized by the
   labour-intensive manufacture of imported components. Traditionally,
   these firms have located along the US-Mexico border. However, during the
   past decade maquiladora production has spread to other regions of
   Mexico. Perhaps the most dramatic shift in maquiladora location has been
   experienced by the state of Yucatan where export-oriented firms now
   account for one-third of all manufacturing jobs and more than two-thirds
   of all exports. Interregional input-output analysis reveals that
   maquiladora production has had a positive impact on economic growth and
   distribution of income in both urban and rural regions of the state.
   However, since the E 0 1 strategy has failed to promote significant
   structural change in regional economies, long-term sustainable economic
   development in Yucatan is unlikely.}},
Publisher = {{ROUTLEDGE JOURNALS, TAYLOR \& FRANCIS LTD}},
Address = {{2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Biles, JJ (Corresponding Author), Western Michigan Univ, Dept Geog, Kalamazoo, MI 49008 USA.
   Western Michigan Univ, Dept Geog, Kalamazoo, MI 49008 USA.}},
DOI = {{10.1080/0143116042000229294}},
ISSN = {{0034-3404}},
EISSN = {{1360-0591}},
Keywords = {{regional development; Maquiladoras; export-oriented industrialization;
   input-output analysis}},
Keywords-Plus = {{MULTIPLIERS; INDUSTRY}},
Research-Areas = {{Business \& Economics; Environmental Sciences \& Ecology; Geography;
   Public Administration}},
Web-of-Science-Categories  = {{Economics; Environmental Studies; Geography; Regional \& Urban Planning}},
Author-Email = {{jbiles@wmich.edu}},
Cited-References = {{Alonso W., 1980, PAPERS REGIONAL SCI, V45, P5.
   Bair J, 2001, WORLD DEV, V29, P1885, DOI 10.1016/S0305-750X(01)00075-4.
   Barios Ramirez Othem, 1996, NEOLIBERALISMO REORG.
   BILES JJ, 2001, THESIS MICHIGAN STAT.
   BRANNON JT, 1994, WORLD DEV, V22, P1933, DOI 10.1016/0305-750X(94)90184-8.
   CARRILLO J, 1994, GLOBAL PRODUCTION AP, P217.
   Chisholm M., 1990, REGIONS RECESSION RE.
   {*}CINVESTAV, 2000, MATR INS PROD EST YU.
   COBOS CP, 1993, REV RADICAL POL EC, V25, P91.
   {*}CONS NAC POBL, 2001, GRAD MARG ENT FED 19.
   CRAVEY AJ, 1998, WOMEN WORK MEXICOS M.
   DEFUENTES AG, 1996, YB C LATIN AM GEOGR, V22, P17.
   DEYUCATAN E, 1996, PLAN ESTAL DESARROLL.
   FRANKO P, 1999, PUZZLE LATIN AM EC D.
   FRIEDMANN J, 1979, TERRITORY FUNCTION E.
   FUENTES F, 1993, MULTINATIONALS EMPLO, P161.
   GEREFFI G, 2000, POVERTY DEV GLOBAL R.
   Gilbert A., 1976, DEV PLANNING SPATIAL, P113.
   HANSON GH, 1994, GLOBAL PRODUCTION AP, P230.
   HEWINGS GD, 1985, REGIONAL INPUT OUTPU.
   HEWINGS GJD, 1999, 99T3 U ILL REG EC AP.
   Hirschman A., 1958, STRATEGY EC DEV.
   INEGI, 1990, CENS POBL VIV.
   {*}INEGI, 2001, BANC INF EC.
   INEGI, 2000, CENS POBL VIV.
   INEGI, 1999, CENS EC 1998.
   INEGI, 1989, CENS EC 1988.
   {*}INEGI, 1994, CENS EC 1993.
   ISARD W, 1998, METHODS INTEREGIONAL.
   Jensen R. C., 1980, INT REGIONAL SCI REV, V5, P139, DOI {[}DOI 10.1177/016001768000500203, 10.1177/016001768000500203].
   Kuznets S, 1955, AM ECON REV, V45, P1.
   MABOUGUNJE A, 1981, DEV PROCESS.
   MacLachlan I, 1998, PROF GEOGR, V50, P315, DOI 10.1111/0033-0124.00123.
   MALECKI EJ, 1991, TECHNOLOGY EC DEV.
   MYDRAL G, 1957, RICH LANDS POOR ROAD.
   Oosterhaven J, 2002, J REGIONAL SCI, V42, P533, DOI 10.1111/1467-9787.00270.
   ORTIZ R, 1999, THESIS U AUTONOMA YU.
   Peet R., 1999, THEORIES DEV.
   QUIROGA RGG, 1998, REV URBAN REG DEV ST, V10, P109.
   RAMOS BC, 1991, OCUPACION YUCATAN.
   Robison L.J., 2002, PAP P APPL GEOGR C, V25, P157.
   ROSE A, 1988, J REGIONAL SCI, V28, P461, DOI 10.1111/j.1467-9787.1988.tb01368.x.
   Sadoulet E., 1995, QUANTITATIVE DEV POL.
   Sagawe T, 1996, J GEOGR, V95, P203, DOI 10.1080/00221349608978728.
   Scott A., 1998, REGIONS WORLD EC COM.
   {*}SECR DES IND EST, 2000, B NOT.
   {*}SECR DES IND EST, 2001, LIST MAQ.
   {*}SECR DES SOC, 2000, INF FIN AN EC MICR C.
   SKLAIR L, 1993, ASSEMBLING DEV MAQUI.
   SMITH DM, 1986, GEOGRAPHY INEQUALITY.
   SOUTH RB, 1990, ANN ASSOC AM GEOGR, V80, P549, DOI 10.1111/j.1467-8306.1990.tb00317.x.
   Vellinga M, 2000, TIJDSCHR ECON SOC GE, V91, P293, DOI 10.1111/1467-9663.00117.
   WILLIAMSON JG, 1965, ECON DEV CULT CHANGE, V13, P1, DOI 10.1086/450136.
   WILSON PA, 2000, POVERTY DEV GLOBAL R.}},
Number-of-Cited-References = {{54}},
Times-Cited = {{5}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{11}},
Journal-ISO = {{Reg. Stud.}},
Doc-Delivery-Number = {{838YN}},
Unique-ID = {{ISI:000222750600005}},
DA = {{2020-08-06}},
}

@article{ ISI:000224519000005,
Author = {Balaz, V},
Title = {{Knowledge-intensive business services in transition economies}},
Journal = {{SERVICE INDUSTRIES JOURNAL}},
Year = {{2004}},
Volume = {{24}},
Number = {{4}},
Pages = {{83-100}},
Month = {{JUL}},
Abstract = {{Knowledge-intensive business services accounted for a rapid growth in
   transition economies after 1989. The growth in value added outpaced
   growth in employment, which indicated increasing labour productivity in
   this sector. Studies based on input-output tables found that development
   of business services was closely related to development of communication
   services in advanced EU member countries. The input-output analysis did
   not confirm this relation for Slovakia and the Czech Republic and found
   a medium to strong level of correlation for Hungary. Development of a
   market economy was likely to be a major factor behind development of
   business services. This assumption was tested on empirical data. The use
   of communication and business services could be a proxy for introduction
   of new technologies in production functions. The functions indicated
   that these industries made a significant contribution to economic growth
   both in advanced and transition economies. Output elasticity
   coefficients were quite similar in the Czech Republic, Hungary and
   Slovakia and the EU member countries.}},
Publisher = {{FRANK CASS CO LTD}},
Address = {{NEWBURY HOUSE, 900 EASTERN AVE, NEWBURY PARK, ILFORD, ESSEX IG2 7HH,
   ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Balaz, V (Corresponding Author), Slovak Acad Sci, Inst Forecasting, Sancova 56, Bratislava 81364, Slovakia.
   Slovak Acad Sci, Inst Forecasting, Bratislava 81364, Slovakia.}},
DOI = {{10.1080/0264206042000275208}},
ISSN = {{0264-2069}},
Research-Areas = {{Business \& Economics}},
Web-of-Science-Categories  = {{Management}},
ResearcherID-Numbers = {{Balaz, Vladimir/R-9416-2016}},
ORCID-Numbers = {{Balaz, Vladimir/0000-0002-8132-3789}},
Cited-References = {{ANTONELLI C, 1998, S14S81998 INN EC POL.
   Antonelli C, 2000, SERVICES KNOWLEDGE B, P170.
   BESSANT J, 1995, RES POLICY, V24, P97, DOI 10.1016/0048-7333(93)00751-E.
   Bilderbeek R., 1998, SERVICES INNOVATION.
   COWAN R, 2000, INNOVATION POLICY KN.
   {*}CZECH STAT OFF, 2002, 1998 SUPPL US TABL C.
   DREJER I, 2001, ECIS C FUT INN STUD.
   {*}EBRD, 1998, TRANS REP.
   {*}EUR COMM, 2000, INNO9902 EUR COMM.
   Hauknes J, 1998, SERVICES INNOVATION.
   HAVAS S, 2001, INNO9902 DIR GEN ENT.
   {*}HUNG CENTR STAT O, 2002, INP OUTP TABL HUNG 1.
   Katsoulacos Y, 2000, SERVICES KNOWLEDGE B, P192.
   Larsen JN, 2001, SERV IND J, V21, P81, DOI 10.1080/714004998.
   Lundvall B.-A., 1992, NATL SYSTEMS INNOVAT.
   Marklund G., 2000, SERVICES KNOWLEDGE B, P86.
   Miles I, 1995, KNOWLEDGE INTENSIVE.
   {*}OECD, 2002, NAT ACC OECD COUNTR.
   OECD Science Technology and Industry Scoreboard, 2001, KNOWL BAS EC.
   PREISSL B, 1997, SI4SWP21997 INN EC P.
   RADOSEVIC S, 2002, INNOVATION POLICY 7, V9.
   Schumpeter JA, 1934, THEORY EC DEV INQUIR.
   Stare M, 2002, SERV IND J, V22, P77, DOI 10.1080/714005062.
   {*}STAT OFF SLOV REP, 1998, SUPPL US TABL COMM I.
   {*}STAT OFF SLOV REP, 2001, SUPPL US TABL COMM I.
   Tomlinson M., 2000, SERVICES KNOWLEDGE B, P209.}},
Number-of-Cited-References = {{26}},
Times-Cited = {{15}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{9}},
Journal-ISO = {{Serv. Ind. J.}},
Doc-Delivery-Number = {{862VJ}},
Unique-ID = {{ISI:000224519000005}},
DA = {{2020-08-06}},
}

@article{ ISI:000222344200005,
Author = {Hasanean, HM},
Title = {{Wintertime surface temperature in Egypt in relation to the associated
   atmospheric circulation}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2004}},
Volume = {{24}},
Number = {{8}},
Pages = {{985-999}},
Month = {{JUN 30}},
Abstract = {{Mean wintertime temperatures (December, January, February) recorded
   during the period 1905-2000 at 18 weather stations distributed across
   Egypt were analysed to reveal spatial and temporal patterns of long-term
   trends. The relationship between winter atmospheric circulation indices
   and winter temperature in Egypt is examined using correlation analysis.
   The atmospheric circulation is represented by four indices: the
   well-known El Nino-southern oscillation (ENSO), North Atlantic
   oscillation (NAO) index, East Atlantic-West Russia (EAWR) index, and
   East Atlantic (EA) index.
   Surface temperature is a stable climatic element whose coefficient of
   variation (COV) is lower during winter. A statistically significant
   relation between COV and latitude indicates that stations in the south,
   Upper Egypt, are more variable than stations in the north, Lower Egypt.
   Increasing and decreasing winter surface temperature trends were found.
   In general, wintertime temperature has increased (warming) at most
   stations. Decreasing trends (cooling) are observed mainly over Upper
   Egypt. The upward trends in mean winter temperature during the
   1910s-30s, mid 1970s, and early 1980s-2000 and the downward trends
   during the 1940s and 1960s are prominent features of the temporal
   distributions. The warming period that occurred early in the century may
   be explained by changes in circulation. Striking upward trends are most
   remarkable during the last 20 years. This Could be attributed not only
   to human activities, but also to atmospheric circulation changes. No
   detectable connection between Egypt temperature and either ENSO or EA
   index was found during winter. A statistically significant negative
   relationship between winter temperature and winter NAO index can be
   observed. The NAO index is more dominant in determining winter
   temperature than ENSO circulation. A significantly stronger negative
   relationship between temperature over Egypt and the winter EAWR index
   values is detected. Copyright (C) 2004 Royal Meteorological Society.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Hasanean, HM (Corresponding Author), Cairo Univ, Dept Astron \& Meteorol, Fac Sci, POB 12613, Giza, Egypt.
   Cairo Univ, Dept Astron \& Meteorol, Fac Sci, Giza, Egypt.}},
DOI = {{10.1002/joc.1043}},
ISSN = {{0899-8418}},
EISSN = {{1097-0088}},
Keywords = {{wintertime temperature; long-term trends atmospheric circulation indices}},
Keywords-Plus = {{NORTH-ATLANTIC; AIR-TEMPERATURE; CLIMATE-CHANGE; DECADAL TRENDS;
   PRECIPITATION; VARIABILITY; RAINFALL; EUROPE; TELECONNECTION;
   FLUCTUATIONS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{hasanean@cu.edu.eg}},
ResearcherID-Numbers = {{hasanean, hosny/I-7399-2012}},
ORCID-Numbers = {{hasanean, hosny/0000-0002-8169-9559}},
Cited-References = {{Aesawy AM, 1998, THEOR APPL CLIMATOL, V61, P55, DOI 10.1007/s007040050051.
   ARSENIPAPADIMITRIOU A, 1991, THEOR APPL CLIMATOL, V43, P105, DOI 10.1007/BF00867467.
   Barnett TP, 1999, B AM METEOROL SOC, V80, P2631, DOI 10.1175/1520-0477(1999)080<2631:DAAORC>2.0.CO;2.
   BARNSTON AG, 1987, MON WEATHER REV, V115, P1083, DOI 10.1175/1520-0493(1987)115<1083:CSAPOL>2.0.CO;2.
   Briffa KR, 1998, NATURE, V393, P450, DOI 10.1038/30943.
   Camberlin P, 2001, INT J CLIMATOL, V21, P973, DOI 10.1002/joc.673.
   Corte-Real J, 1998, INT J CLIMATOL, V18, P619, DOI 10.1002/(SICI)1097-0088(199805)18:6\<619::AID-JOC271\>3.0.CO;2-T.
   CORTEREAL J, 1995, INT J CLIMATOL, V15, P1135, DOI 10.1002/joc.3370151006.
   Cullen HM, 2000, INT J CLIMATOL, V20, P853, DOI 10.1002/1097-0088(20000630)20:8\<853::AID-JOC497\>3.0.CO;2-M.
   Folland CK, 1990, CLIMATE CHANGE: THE IPCC SCIENTIFIC ASSESSMENT, P195.
   Fu CB, 1999, INT J CLIMATOL, V19, P581, DOI 10.1002/(SICI)1097-0088(199905)19:6<581::AID-JOC396>3.3.CO;2-G.
   Harrington C. D., 1992, YEAR SUMMER WORLD CL.
   Hasanean HM, 2001, THEOR APPL CLIMATOL, V68, P75, DOI 10.1007/s007040170055.
   Houghton J. T., 2001, CLIMATE CHANGE 2001.
   Houghton J.T., 1996, CLIMATE CHANGE 1995.
   Hu Q, 1998, B AM METEOROL SOC, V79, P221, DOI 10.1175/1520-0477(1998)079<0221:IVOAPI>2.0.CO;2.
   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.
   Huth R, 1999, THEOR APPL CLIMATOL, V64, P151, DOI 10.1007/s007040050119.
   JACOBEIT J, 1987, J CLIMATOL, V7, P453, DOI 10.1002/joc.3370070503.
   Jacobeit J, 2001, CLIMATIC CHANGE, V48, P219, DOI 10.1023/A:1005619023045.
   Jones P, 1998, SCIENCE, V280, P544, DOI 10.1126/science.280.5363.544.
   Jones PD, 1999, REV GEOPHYS, V37, P173, DOI 10.1029/1999RG900002.
   Karl TR, 2000, GEOPHYS RES LETT, V27, P719, DOI 10.1029/1999GL010877.
   Krichak SO, 2002, THEOR APPL CLIMATOL, V72, P209, DOI 10.1007/s007040200021.
   Kutiel H, 2002, THEOR APPL CLIMATOL, V71, P17, DOI 10.1007/s704-002-8205-x.
   Kutiel H, 1996, INT J CLIMATOL, V16, P73, DOI 10.1002/(SICI)1097-0088(199601)16:1<73::AID-JOC997>3.0.CO;2-G.
   Kutiel H, 1998, THEOR APPL CLIMATOL, V61, P39, DOI 10.1007/s007040050050.
   LEAN J, 1995, GEOPHYS RES LETT, V22, P3195, DOI 10.1029/95GL03093.
   Maheras P, 1999, INT J CLIMATOL, V19, P1697, DOI 10.1002/(SICI)1097-0088(199912)19:15<1697::AID-JOC442>3.3.CO;2-J.
   Mann ME, 1998, NATURE, V392, P779, DOI 10.1038/33859.
   Mayes J, 1996, INT J CLIMATOL, V16, P585, DOI 10.1002/(SICI)1097-0088(199605)16:5<585::AID-JOC24>3.0.CO;2-\#.
   MOSES T, 1987, J CLIMATOL, V7, P13, DOI 10.1002/joc.3370070104.
   NAMIAS J, 1948, T AM GEOPHYS U, V29, P777.
   PARKER DE, 1994, J GEOPHYS RES-ATMOS, V99, P14373, DOI 10.1029/94JD00548.
   PETERSSEN S, 1949, GEOGRAFISKA ANN, V31, P212.
   PHILANDER SGH, 1990, EL NINO LA NINA SO O.
   Pozo-Vazquez D, 2001, CLIM DYNAM, V17, P701, DOI 10.1007/s003820000137.
   Reddaway JM, 1996, INT J CLIMATOL, V16, P651, DOI 10.1002/(SICI)1097-0088(199606)16:6<651::AID-JOC27>3.0.CO;2-Z.
   ROGERS JC, 1979, MON WEATHER REV, V107, P509, DOI 10.1175/1520-0493(1979)107<0509:TSIWTB>2.0.CO;2.
   ROGERS JC, 1985, J CLIM APPL METEOROL, V24, P1303, DOI 10.1175/1520-0450(1985)024<1303:ACCAWT>2.0.CO;2.
   Ropelewski CF, 1989, J CLIMATE, V2, P268, DOI 10.1175/1520-0442(1989)002<0268:PPAWTH>2.0.CO;2.
   Saenz J, 2001, J GEOPHYS RES-ATMOS, V106, P20641, DOI 10.1029/2001JD900247.
   Schonwiese C. D., 1997, CLIMATE TREND ATLAS.
   SHAPIRO R, 1975, MATH COMPUT, V29, P1094, DOI 10.2307/2005747.
   Slonosky V, 2002, CLIM DYNAM, V19, P17, DOI 10.1007/s00382-001-0211-y.
   Slonosky VC, 2001, INT J CLIMATOL, V21, P63, DOI 10.1002/joc.591.
   SNEYERS R, 1990, 143 WMO.
   Trenberth KE, 1995, CLIMATIC CHANGE, V31, P427, DOI 10.1007/BF01095156.
   TRENBERTH KE, 1990, B AM METEOROL SOC, V71, P988, DOI 10.1175/1520-0477(1990)071<0988:ROICCI>2.0.CO;2.
   TRENBERTH KE, 1994, CLIM DYNAM, V9, P303, DOI 10.1007/BF00204745.
   Valero F, 1996, ANN GEOPHYS, V14, P976, DOI 10.1007/s00585-996-0976-8.
   VANLOON H, 1976, MON WEATHER REV, V104, P365, DOI 10.1175/1520-0493(1976)104<0365:TCBTOM>2.0.CO;2.
   Walker G.T., 1932, Memoirs of the Royal Meteorological Society, V4, P53.
   Walker G. T., 1924, MEM INDIA METEOR DEP, V24, P275.
   {*}WMO, 1993, 519 WMO.
   Xoplaki E, 2003, CLIM DYNAM, V20, P723, DOI 10.1007/s00382-003-0304-x.
   Xoplaki E, 2003, CLIM DYNAM, V20, P537, DOI 10.1007/s00382-002-0291-3.
   Xoplaki E, 2000, CLIM RES, V14, P129, DOI 10.3354/cr014129.
   Xoplaki E., 2002, THESIS U BERN SWITZE.
   XU JS, 1993, J CLIMATE, V6, P816, DOI 10.1175/1520-0442(1993)006<0816:TJMOTC>2.0.CO;2.}},
Number-of-Cited-References = {{61}},
Times-Cited = {{29}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{2}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{833NK}},
Unique-ID = {{ISI:000222344200005}},
DA = {{2020-08-06}},
}

@article{ ISI:000222202700006,
Author = {Cortese, G and Abelmann, A and Gersonde, R},
Title = {{A glacial warm water anomaly in the subantarctic Atlantic Ocean, near
   the Agulhas Retroflection}},
Journal = {{EARTH AND PLANETARY SCIENCE LETTERS}},
Year = {{2004}},
Volume = {{222}},
Number = {{3-4}},
Pages = {{767-778}},
Month = {{JUN 15}},
Abstract = {{ODP Site 1089 is optimally located in order to monitor the occurrence of
   maxima in Agulhas heat and salt spillage from the Indian to the Atlantic
   Ocean. Radiolarian-based paleotemperature transfer functions allowed to
   reconstruct the climatic history for the last 450 kyr at this location.
   A warm sea surface temperature anomaly during Marine Isotope Stage (MIS)
   10 was recognized and traced to other oceanic records along the surface
   branch of the global thermolialine (THC) circulation system, and is
   particularly marked at locations where a strong interaction between
   oceanic and atmospheric overturning cells and fronts occurs. This
   anomaly is absent in the Vostok ice core deuterium, and in oceanic
   records from the Antarctic Zone. However, it is present in the deuterium
   excess record from the Vostok ice core, interpreted as reflecting the
   temperature at the moisture source site for the snow precipitated at
   Vostok Station. As atmospheric models predict a subtropical Indian
   source for such moisture, this provides the necessary teleconnection
   between East Antarctica and ODP Site 1089, as the subtropical Indian is
   also the source area of the Agulhas Current, the main climate agent at
   our study location.
   The presence of the MIS 10 anomaly in the delta(13)C foraminiferal
   records from the same core supports its connection to oceanic
   mechanisms, linking stronger Agulhas spillover intensity to increased
   productivity in the study area. We suggest, in analogy to modem
   oceanographic observations, this to be a consequence of a shallow
   nutricline, induced by eddy mixing and baroclinic tide generation, which
   are in turn connected to the flow geometry, and intensity, of the
   Agulhas Current as it flows past the Agulhas Bank.
   We interpret the intensified inflow of Agulhas Current to the South
   Atlantic as responding to the switch between lower and higher amplitude
   in the insolation forcing in the Agulhas Current source area. This would
   result in higher SSTs in the Cape Basin during the glacial MIS 10, due
   to the release into the South Atlantic of the heat previously
   accumulating in the subtropical and equatorial Indian and Pacific Ocean.
   If our explanation for the MIS 10 anomaly in terms of an insolation
   variability switch is correct, we might expect that a future Agulhas
   SSST anomaly event will further delay the onset of next glacial age. In
   fact, the insolation forcing conditions for the Holocene (the current
   interglacial) are very similar to those present during MIS 11 (the
   interglacial preceding MIS 10), as both periods are characterized by a
   low insolation variability for the Agulhas Current source area. Natural
   climatic variability will force the Earth system in the same direction
   as the anthropogenic global warming trend, and will thus lead to even
   warmer than expected global temperatures in the near future. (C) 2004
   Elsevier B.V. All rights reserved.}},
Publisher = {{ELSEVIER}},
Address = {{RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Cortese, G (Corresponding Author), Alfred Wegener Inst Polar \& Marine Res, Columbusstr,POB 120161, D-27515 Bremerhaven, Germany.
   Alfred Wegener Inst Polar \& Marine Res, D-27515 Bremerhaven, Germany.}},
DOI = {{10.1016/j.epsl.2004.03.029}},
ISSN = {{0012-821X}},
EISSN = {{1385-013X}},
Keywords = {{agulhas; paleotemperature; radiolarians; South Atlantic}},
Keywords-Plus = {{SOUTHERN-OCEAN; INDIAN SECTOR; CLIMATE; RECORD; SEA; VARIABILITY}},
Research-Areas = {{Geochemistry \& Geophysics}},
Web-of-Science-Categories  = {{Geochemistry \& Geophysics}},
Author-Email = {{gcortese@awi-bremerhaven.de}},
ResearcherID-Numbers = {{Cortese, Giuseppe/C-8281-2011
   }},
ORCID-Numbers = {{Abelmann, Andrea/0000-0001-9432-0002
   Cortese, Giuseppe/0000-0003-1780-3371}},
Cited-References = {{BASSINOT FC, 1994, EARTH PLANET SC LETT, V126, P91, DOI 10.1016/0012-821X(94)90244-5.
   Becquey S, 2003, PALEOCEANOGRAPHY, V18, DOI 10.1029/2000PA000576.
   Bender ML, 2002, EARTH PLANET SC LETT, V204, P275, DOI 10.1016/S0012-821X(02)00980-9.
   BOLTOVSKOY D, 1998, PALEONTOLOGICA ELECT, V1.
   Chen MT, 2002, MAR GEOL, V180, P163, DOI 10.1016/S0025-3227(01)00212-2.
   Cortese G, 2002, PALAEOGEOGR PALAEOCL, V182, P259, DOI 10.1016/S0031-0182(01)00499-0.
   Craig H., 1965, STABLE ISOTOPES OCEA, P9.
   Delaygue G, 2000, TELLUS B, V52, P19, DOI 10.1034/j.1600-0889.2000.00951.x.
   Diekmann B, 2002, PALAEOGEOGR PALAEOCL, V182, P241, DOI 10.1016/S0031-0182(01)00498-9.
   EPSTEIN S, 1953, GEOL SOC AM BULL, V64, P1315, DOI 10.1130/0016-7606(1953)64{[}1315:RCITS]2.0.CO;2.
   Gersonde R, 2003, PALEOCEANOGRAPHY, V18, DOI 10.1029/2002PA000809.
   GORDON AL, 1986, J GEOPHYS RES-OCEANS, V91, P5037, DOI 10.1029/JC091iC04p05037.
   HALE W, 1999, USE PROXIES PALEOCEA.
   HAY WW, 1992, GEOL SOC SPEC PUBL L, V64, P463, DOI DOI 10.1144/GSL.SP.1992.064.01.31.
   Hemleben C, 1996, PALEOCEANOGRAPHY, V11, P147, DOI 10.1029/95PA03838.
   HODELL DA, 2003, P ODP SCI RESULTS.
   JOHNSON DA, 1989, MAR MICROPALEONTOL, V14, P33, DOI 10.1016/0377-8398(89)90031-5.
   KUHN G, 2004, EGU 1 PLEN M NIC FRA.
   Labeyrie L, 1996, PALEOCEANOGRAPHY, V11, P57, DOI 10.1029/95PA02255.
   LASKAR J, 1990, ICARUS, V88, P266, DOI 10.1016/0019-1035(90)90084-M.
   Manabe S, 1997, PALEOCEANOGRAPHY, V12, P321, DOI 10.1029/96PA03932.
   McManus JF, 1999, SCIENCE, V283, P971, DOI 10.1126/science.283.5404.971.
   Mix AC, 1999, GEOPH MONOG SERIES, V112, P127.
   Munk W, 1998, DEEP-SEA RES PT I, V45, P1977, DOI 10.1016/S0967-0637(98)00070-3.
   {*}NAV RES LAB, 2003, REAL TIM GLOB OC AN.
   Pahnke K, 2003, SCIENCE, V301, P948, DOI 10.1126/science.1084451.
   Penven P, 2001, GEOPHYS RES LETT, V28, P1055, DOI 10.1029/2000GL011760.
   Petit JR, 1999, NATURE, V399, P429, DOI 10.1038/20859.
   PIERRE C, 2001, P OCEAN DRILLING PRO, V0175.
   Pierrehumbert RT, 2000, P NATL ACAD SCI USA, V97, P1355, DOI 10.1073/pnas.97.4.1355.
   PROVOST C, 2003, AVISO ALTIMETRY NEWS, V8.
   Rau AJ, 2002, MAR GEOL, V180, P183, DOI 10.1016/S0025-3227(01)00213-4.
   Robertson R, 2001, J GEOPHYS RES-OCEANS, V106, P27001, DOI 10.1029/2000JC000475.
   ROBERTSON R, 1999, THESIS OREGON STATE.
   Schulz H, 1998, NATURE, V393, P54.
   SHACKLETON NJ, 1990, T ROY SOC EDIN-EARTH, V81, P251, DOI 10.1017/S0263593300020782.
   SHACKLETON NJ, 1995, P ODP SCI RESULTS, V138, P73, DOI DOI 10.2973/0DP.PR0C.SR.138.106.1995.
   STUBER A, 1999, THESIS U KIEL KIEL.
   Timmermann A, 2003, GLOBAL PLANET CHANGE, V37, P135, DOI 10.1016/S0921-8181(02)00194-7.
   Venz KA, 1999, PALEOCEANOGRAPHY, V14, P42, DOI 10.1029/1998PA900013.
   Vimeux F, 2002, EARTH PLANET SC LETT, V203, P829, DOI 10.1016/S0012-821X(02)00950-0.
   Webb RS, 1997, NATURE, V385, P695, DOI 10.1038/385695a0.
   Wolff T., 1999, USE PROXIES PALEOCEA, P207.}},
Number-of-Cited-References = {{43}},
Times-Cited = {{18}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{16}},
Journal-ISO = {{Earth Planet. Sci. Lett.}},
Doc-Delivery-Number = {{831OB}},
Unique-ID = {{ISI:000222202700006}},
OA = {{Green Published}},
DA = {{2020-08-06}},
}

@article{ ISI:000222106100004,
Author = {Liu, JP and Yuan, XJ and Martinson, DG and Rind, D},
Title = {{Re-evaluating Antarctic sea-ice variability and its teleconnections in a
   GISS global climate model with improved sea ice and ocean processes}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2004}},
Volume = {{24}},
Number = {{7}},
Pages = {{841-852}},
Month = {{JUN 15}},
Abstract = {{This study re-evaluated simulated Antarctic sea-ice variability and its
   teleconnections in a NASA Goddard Institute for Space Studies (GISS)
   coupled global climate model (CGCM) with improved sea-ice and ocean
   processes. With the improvements to the parameterizations of sea-ice
   dynamics and thermodynamics and of sub-grid-scale ocean processes, the
   new version of the GISS/CGCM does indeed do a better job in the
   representations of the local/regional ice-ocean interactions with regard
   to (1) the seasonal distributions of the Antarctic sea-ice edges (SIE),
   and (2) the vertical temperature and salinity structure in the upper
   Southern Ocean and surface air temperature (SAT) climatology in the
   southern high latitudes compared with the control version. However,
   these encouraging local/regional improvements do not extend to the
   simulations of the polar and extrapolar climate teleconnections. There
   is no obvious change to the simulations of the dominant spatial
   covarying patterns of the SAT variability on either the regional
   (southern high latitudes) or global scales. The simulated
   teleconnections between Antarctic SIE and global SAT still show the weak
   El Nino-southern oscillation like correlation pattern in the eastern
   tropical Pacific, though the new version generates a stronger tropical
   Indian component. Some dominant observed teleconnection patterns in the
   western extreme of the tropical Pacific and over the tropical continents
   (in-phase relationship between tropical South America and Africa) are
   still not well represented or are missed in the Antarctic SIE and global
   SAT lead/lag correlation maps and the empirical orthogonal function
   analysis on those correlation maps. The possible causes of the weak
   teleconnections in the improved GISS/CGCM are briefly discussed.
   Copyright (C) 2004 Royal Meteorological Society.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Liu, JP (Corresponding Author), Georgia Inst Technol, Sch Earth \& Atmospher Sci, 311 Ferst Dr, Atlanta, GA 30332 USA.
   NASA, Goddard Inst Space Studies, New York, NY 10025 USA.
   Columbia Univ, Dept Earth \& Environm Sci, Palisades, NY 10964 USA.
   Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY 10964 USA.}},
DOI = {{10.1002/joc.1040}},
ISSN = {{0899-8418}},
EISSN = {{1097-0088}},
Keywords = {{Antarctic sea-ice variability; coupled global climate model; improved
   GISS/CGCM; teleconnections}},
Keywords-Plus = {{THERMODYNAMICS; SENSITIVITY; THICKNESS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{jliu@eas.gatech.edu}},
ResearcherID-Numbers = {{LIU, JIPING/N-6696-2016
   Yuan, Xiaojun/AAI-7770-2020
   }},
ORCID-Numbers = {{Yuan, Xiaojun/0000-0002-6530-1619}},
Cited-References = {{Carleton AM, 2003, J GEOPHYS RES-OCEANS, V108, DOI 10.1029/2000JC000379.
   Curry Judith A., 1999, THERMODYNAMICS ATMOS.
   EBERT EE, 1995, J GEOPHYS RES-OCEANS, V100, P15965, DOI 10.1029/95JC01672.
   GENT PR, 1995, J PHYS OCEANOGR, V25, P463, DOI 10.1175/1520-0485(1995)025<0463:PEITTI>2.0.CO;2.
   GENT PR, 1990, J PHYS OCEANOGR, V20, P150, DOI 10.1175/1520-0485(1990)020<0150:IMIOCM>2.0.CO;2.
   GRENFELL TC, 1977, J GLACIOL, V18, P445, DOI DOI 10.1017/S0022143000021122.
   Griffies SM, 1998, J PHYS OCEANOGR, V28, P805, DOI 10.1175/1520-0485(1998)028<0805:IDIAZC>2.0.CO;2.
   HOLLAND DM, 1999, J CLIMATOL, V12, P1787.
   Houghton J. T., 2001, CLIMATE CHANGE 2001.
   LEVITUS S, 1994, 3 NOAA NESDIS.
   LEVITUS S, 1994, 4 NOAA NESDIS.
   LIU J, 2003, UNPUB J GEOPHYS RES.
   Liu JP, 2003, J GEOPHYS RES-OCEANS, V108, DOI 10.1029/2001JC001167.
   Liu JP, 2002, INT J CLIMATOL, V22, P885, DOI 10.1002/joc.770.
   MARTINSON DG, 1990, J GEOPHYS RES-OCEANS, V95, P116

license_type: permissive

branch_name: refs/heads/master

extension: bib