text:
40.x.
   SMITH P, 1974, SIMULATING URBAN EC.
   Statistics Finland, 2000, REG INP OUTP 1995 TA.}},
Number-of-Cited-References = {{14}},
Times-Cited = {{53}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{17}},
Journal-ISO = {{Reg. Stud.}},
Doc-Delivery-Number = {{770VW}},
Unique-ID = {{ISI:000188752900004}},
DA = {{2020-08-06}},
}

@article{ ISI:000188865900002,
Author = {Greatbatch, RJ and Lu, J and Peterson, KA},
Title = {{Nonstationary impact of ENSO on Euro-Atlantic winter climate}},
Journal = {{GEOPHYSICAL RESEARCH LETTERS}},
Year = {{2004}},
Volume = {{31}},
Number = {{2}},
Month = {{JAN 27}},
Abstract = {{Previous studies have suggested a lack of robustness over the
   Euro-Atlantic sector in the extratropical teleconnection response to
   ENSO. We use a simple AGCM to show that during the 20 years before and
   after the late 1970' s, the ENSO signal leaving the tropics has the
   character of a wave train that is similar to the PNA, but is much
   stronger and penetrates further poleward in the post 1970s period. We
   also find that the synchronous extratropically-forced model response is
   almost the reverse in the post-compared to the pre-late 1970s period. We
   argue that the change in the signal leaving the tropics is due to the
   sensitivity of the tropically-forced signal to changes in the spatial
   pattern of the tropical forcing. The extent to which the
   extratropically-forced response is itself dependent on the tropical
   forcing, or simply the result of chance, is not clear.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Greatbatch, RJ (Corresponding Author), Dalhousie Univ, Dept Oceanog, Halifax, NS B3H 4J1, Canada.
   Dalhousie Univ, Dept Oceanog, Halifax, NS B3H 4J1, Canada.}},
DOI = {{10.1029/2003GL018542}},
Article-Number = {{L02208}},
ISSN = {{0094-8276}},
EISSN = {{1944-8007}},
Keywords-Plus = {{NINO SOUTHERN-OSCILLATION; EL-NINO; SURFACE TEMPERATURES;
   NORTHERN-HEMISPHERE; PRECIPITATION; RAINFALL; SECTOR; AGCM; LINK}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary}},
Author-Email = {{richard.greatbatch@dal.ca}},
Cited-References = {{BRANSTATOR G, 1985, J ATMOS SCI, V42, P2225, DOI 10.1175/1520-0469(1985)042<2225:AOGCMS>2.0.CO;2.
   Dong BW, 2000, GEOPHYS RES LETT, V27, P985, DOI 10.1029/1999GL010994.
   FRAEDRICH K, 1992, INT J CLIMATOL, V12, P25, DOI 10.1002/joc.3370120104.
   FRAEDRICH K, 1994, TELLUS A, V46, P541, DOI 10.1034/j.1600-0870.1994.00015.x.
   Hall NMJ, 2000, J ATMOS SCI, V57, P1557, DOI 10.1175/1520-0469(2000)057<1557:ASGBOD>2.0.CO;2.
   Hilmer M, 2000, GEOPHYS RES LETT, V27, P989, DOI 10.1029/1999GL010944.
   Hoerling MP, 2001, J CLIMATE, V14, P1277, DOI 10.1175/1520-0442(2001)014<1277:ROTNCR>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.
   Kumar KK, 1999, SCIENCE, V284, P2156, DOI 10.1126/science.284.5423.2156.
   Mariotti A, 2002, GEOPHYS RES LETT, V29, DOI 10.1029/2001GL014248.
   Merkel U, 2002, GEOPHYS RES LETT, V29, DOI 10.1029/2001GL013726.
   Peterson KA, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2002GL015585.
   Peterson KA, 2002, GEOPHYS RES LETT, V29, DOI 10.1029/2001GL014502.
   Price C, 1998, GEOPHYS RES LETT, V25, P3963, DOI 10.1029/1998GL900098.
   Rimbu N, 2003, J CLIMATE, V16, P1414, DOI 10.1175/1520-0442-16.9.1414.
   Rodo X, 1997, CLIM DYNAM, V13, P275, DOI 10.1007/s003820050165.
   ROGERS JC, 1984, MON WEATHER REV, V112, P1999, DOI 10.1175/1520-0493(1984)112<1999:TABTNA>2.0.CO;2.
   Stockdale TN, 2000, STOCH ENV RES RISK A, V14, P305, DOI 10.1007/s004770000053.
   Thompson DWJ, 1998, GEOPHYS RES LETT, V25, P1297, DOI 10.1029/98GL00950.
   Trenberth KE, 1998, J GEOPHYS RES-OCEANS, V103, P14291, DOI 10.1029/97JC01444.
   Trenberth KE, 2000, J CLIMATE, V13, P4358, DOI 10.1175/1520-0442(2000)013<4358:TSORSL>2.0.CO;2.
   Trenberth KE, 2002, J GEOPHYS RES-ATMOS, V107, DOI 10.1029/2000JD000298.
   VANLOON H, 1981, MON WEATHER REV, V109, P1150, DOI 10.1175/1520-0493(1981)109<1150:TSOPIG>2.0.CO;2.
   Wallace JM, 1996, J CLIMATE, V9, P249, DOI 10.1175/1520-0442(1996)009<0249:IOITIN>2.0.CO;2.}},
Number-of-Cited-References = {{24}},
Times-Cited = {{62}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{6}},
Journal-ISO = {{Geophys. Res. Lett.}},
Doc-Delivery-Number = {{772WT}},
Unique-ID = {{ISI:000188865900002}},
DA = {{2020-08-06}},
}

@article{ ISI:000220194800005,
Author = {Cavazos, T and Rivas, D},
Title = {{Variability of extreme precipitation events in Tijuana, Mexico}},
Journal = {{CLIMATE RESEARCH}},
Year = {{2004}},
Volume = {{25}},
Number = {{3}},
Pages = {{229-242}},
Month = {{JAN 23}},
Abstract = {{We investigated the variability of 1 d precipitation extremes (top 10\%)
   in Tijuana (Mexico) during 1950-2000. Interannual rainfall variability
   is associated with El Nino/Southern Oscillation (ENSO), which explains
   30 \% of rainfall and 36 \% of 1 d extreme precipitation variance.
   Interannual precipitation exhibits a large change, with a relatively dry
   period and less variability during 1950-1976, followed by a relatively
   wet period and more variability during 1976-2000. All extremely wet
   years (>1 SD) and the largest frequency of 1 d extremes occurred after
   1976-1977, with 6 out of 8 extremely wet years characterized by El Nino
   episodes and 2 by neutral conditions. However, more than half of the 1 d
   extremes during 1950-2000 occurred in non-ENSO years, providing evidence
   for the fact that neutral conditions contribute significantly to extreme
   climatic variability in the region. Extreme events that occur in neutral
   (strong El Nino) conditions are associated with a `pineapple express'
   and a `neutral Pacific/North America (PNA)' (negative tropical/northern
   hemisphere {[}TNH]) teleconnection pattern that links an anomalous
   tropical convective forcing west (east) of the date line with a strong
   subtropical jet over the study area. The neutral PNA is a variant of the
   typical PNA teleconnection pattern; it is shifted northwestward of the
   +PNA (typical of El Nino) and southeastward of the -PNA (typical of La
   Nina) and is characterized by a strong ridge over the Gulf of Alaska and
   a deep low over California. We believe that the trough in the jet,
   typical of extreme events during neutral and strong El Nino years, is
   further intensified by thermal interaction with regional anomalies of a
   warm California Current off Baja California, low-level moisture
   advection from the subtropical warm sea-surface region, and intense
   convective activity over the study area.}},
Publisher = {{INTER-RESEARCH}},
Address = {{NORDBUNTE 23, D-21385 OLDENDORF LUHE, GERMANY}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Cavazos, T (Corresponding Author), CICESE, Dept Oceanog Fis, Km 107 Carretera Tijuana Ensenada, Ensenada 22860, Baja California, Mexico.
   CICESE, Dept Oceanog Fis, Ensenada 22860, Baja California, Mexico.}},
DOI = {{10.3354/cr025229}},
ISSN = {{0936-577X}},
EISSN = {{1616-1572}},
Keywords = {{climatic variability; extreme precipitation; ENSO; non-ENSO; Tijuana;
   Mexico}},
Keywords-Plus = {{OUTGOING LONGWAVE RADIATION; CLIMATIC VARIABILITY; NORTH PACIFIC;
   UNITED-STATES; ENSO; TELECONNECTIONS; OSCILLATION; CIRCULATION;
   MODULATION; TRANSIENTS}},
Research-Areas = {{Environmental Sciences \& Ecology; Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Environmental Sciences; Meteorology \& Atmospheric Sciences}},
Author-Email = {{tcavazos@cicese.mx}},
ORCID-Numbers = {{Cavazos, Tereza/0000-0003-3097-9021
   Rivas, David/0000-0002-7855-4797}},
Cited-References = {{{*}AP WORLDSTR, 1998, INT NEWS        0208, V21, P57.
   APARICIOMIJARES FJ, 1997, FUNDAMENTOS HIDROLOG.
   ARCINIEGA RL, 2003, GEOFISICA INT, V42, P419.
   BARNSTON AG, 1991, J CLIMATE, V4, P203, DOI 10.1175/1520-0442(1991)004<0203:MOSONH>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.
   Bocco G., 1993, FRONTERA NORTE, V5, P53.
   Cayan DR, 1998, J CLIMATE, V11, P3148, DOI 10.1175/1520-0442(1998)011<3148:DVOPOW>2.0.CO;2.
   Cayan DR, 1999, J CLIMATE, V12, P2881, DOI 10.1175/1520-0442(1999)012<2881:EAHEIT>2.0.CO;2.
   Chang EKM, 2002, J CLIMATE, V15, P2163, DOI 10.1175/1520-0442(2002)015<02163:STD>2.0.CO;2.
   Chang EKM, 2003, J CLIMATE, V16, P2178, DOI 10.1175/2773.1.
   CHATFIELD C, 1975, TIME SERIES ANAL THE.
   {*}CNA, 1995, PROGR EST HIDR GER E.
   DEDINA S, 1995, J BORDERLAND STUDIES, V10, P89.
   Dettinger MD, 1998, J CLIMATE, V11, P3095, DOI 10.1175/1520-0442(1998)011<3095:NSPPIW>2.0.CO;2.
   Easterling DR, 2000, B AM METEOROL SOC, V81, P417, DOI 10.1175/1520-0477(2000)081<0417:OVATIE>2.3.CO;2.
   Gershunov A, 2003, J CLIMATE, V16, P2752, DOI {[}10.1175/1520-0442(2003)016<2752:HDPFOT>2.0.CO;2, 10.1175/1520-0442(2003)016\<2752:HDPFOT\>2.0.CO;2].
   Gershunov A, 1998, B AM METEOROL SOC, V79, P2715, DOI 10.1175/1520-0477(1998)079<2715:IMOET>2.0.CO;2.
   Graham NE, 2001, B AM METEOROL SOC, V82, P1869, DOI 10.1175/1520-0477(2001)082<1869:EFIONP>2.3.CO;2.
   GRAHAM NE, 1994, CLIM DYNAM, V10, P135, DOI 10.1007/BF00210626.
   HELD IM, 1989, J ATMOS SCI, V46, P163, DOI 10.1175/1520-0469(1989)046<0163:TATERT>2.0.CO;2.
   Higgins RW, 2000, J CLIMATE, V13, P793, DOI 10.1175/1520-0442(2000)013<0793:EPEITW>2.0.CO;2.
   HIGGINS RW, 2001, US CLIM REP, V2, P8.
   HOERLING MP, 1994, J CLIMATE, V7, P745, DOI 10.1175/1520-0442(1994)007<0745:OOETDE>2.0.CO;2.
   Hoerling MP, 1997, J CLIMATE, V10, P1769, DOI 10.1175/1520-0442(1997)010<1769:ENOLNA>2.0.CO;2.
   Hoerling MP, 2001, J CLIMATE, V14, P1277, DOI 10.1175/1520-0442(2001)014<1277:ROTNCR>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.
   Karl TR, 1999, CLIMATIC CHANGE, V42, P309, DOI 10.1023/A:1005436904097.
   KARL TR, 1995, NATURE, V377, P217, DOI 10.1038/377217a0.
   KOUSKY VE, 1994, J CLIMATE, V7, P1131, DOI 10.1175/1520-0442(1994)007<1131:PMOOLR>2.0.CO;2.
   Liebmann B, 2001, J CLIMATE, V14, P208, DOI 10.1175/1520-0442(2001)014<0208:IVODEP>2.0.CO;2.
   Liebmann B, 1996, B AM METEOROL SOC, V77, P1275.
   MADDEN RA, 1972, J ATMOS SCI, V29, P1109, DOI 10.1175/1520-0469(1972)029<1109:DOGSCC>2.0.CO;2.
   Minnich RA, 2000, ATMOSFERA, V13, P1.
   MO KC, 1986, MON WEATHER REV, V114, P2488, DOI 10.1175/1520-0493(1986)114<2488:TEGHTD>2.0.CO;2.
   Mo KC, 1998, J CLIMATE, V11, P2404, DOI 10.1175/1520-0442(1998)011<2404:TCAPRI>2.0.CO;2.
   Pavia EG, 2000, J APPL METEOROL, V39, P1952, DOI 10.1175/1520-0450(2000)039<1952:SFMTEE>2.0.CO;2.
   Pavia EG, 1998, GEOPHYS RES LETT, V25, P3855, DOI 10.1029/1998GL900029.
   REYES S, IN PRESS CIENCIAS MA.
   SALDANA L, 1998, BORDERLINES, V44, P1.
   SCHONHER T, 1989, J CLIMATE, V2, P1258, DOI 10.1175/1520-0442(1989)002<1258:TRBCRA>2.0.CO;2.
   Swetnam TW, 1998, J CLIMATE, V11, P3128, DOI 10.1175/1520-0442(1998)011<3128:MDAERT>2.0.CO;2.
   Trenberth KE, 1998, J GEOPHYS RES-OCEANS, V103, P14291, DOI 10.1029/97JC01444.
   TRENBERTH KE, 1994, CLIM DYNAM, V9, P303, DOI 10.1007/BF00204745.
   Zhang Y, 1997, J CLIMATE, V10, P1004, DOI 10.1175/1520-0442(1997)010<1004:ELIV>2.0.CO;2.
   Zhang YQ, 1999, J ATMOS SCI, V56, P3416, DOI 10.1175/1520-0469(1999)056<3416:ALSMOA>2.0.CO;2.}},
Number-of-Cited-References = {{45}},
Times-Cited = {{42}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{14}},
Journal-ISO = {{Clim. Res.}},
Doc-Delivery-Number = {{802WY}},
Unique-ID = {{ISI:000220194800005}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000188306600004,
Author = {Wu, AM and Hsieh, WW},
Title = {{The nonlinear northern hemisphere winter atmospheric response to ENSO}},
Journal = {{GEOPHYSICAL RESEARCH LETTERS}},
Year = {{2004}},
Volume = {{31}},
Number = {{2}},
Month = {{JAN 16}},
Abstract = {{{[}1] A nonlinear projection of the tropical Pacific sea surface
   temperature anomalies (SSTA) onto the Northern Hemisphere winter
   500-mbar geopotential height (Z500) by a neural network reveals
   asymmetric atmospheric patterns associated with El Nino and La Nina.
   While the linear response of Z500 to tropical Pacific SSTA is largely
   confined over North Pacific and North America, the nonlinear response,
   mainly a quadratic response to the SSTA, reveals that regardless of the
   sign of the SSTA, positive Z500 anomalies are found over the
   central-eastern North America, North Atlantic and western Europe, and
   negative Z500 anomalies over the west coast of North America,
   Scandinavia and eastern Europe - consistent with the positive
   Pacific-North America (PNA) teleconnection pattern and the positive
   North Atlantic Oscillation (NAO) pattern being excited.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Wu, AM (Corresponding Author), Univ British Columbia, Dept Earth \& Ocean Sci, Vancouver, BC V6T 1Z4, Canada.
   Univ British Columbia, Dept Earth \& Ocean Sci, Vancouver, BC V6T 1Z4, Canada.}},
DOI = {{10.1029/2003GL018885}},
Article-Number = {{L02203}},
ISSN = {{0094-8276}},
EISSN = {{1944-8007}},
Keywords-Plus = {{EL-NINO; TELECONNECTIONS; PRECIPITATION; TEMPERATURE; OSCILLATION;
   CIRCULATION}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary}},
Author-Email = {{awu@eos.ubc.ca}},
ResearcherID-Numbers = {{Hsieh, William W/G-8380-2011}},
ORCID-Numbers = {{Hsieh, William W/0000-0003-2654-392X}},
Cited-References = {{DESER C, 1995, J CLIMATE, V8, P1677, DOI 10.1175/1520-0442(1995)008<1677:OTRBTA>2.0.CO;2.
   Efron B., 1993, INTRO BOOTSTRAP.
   Hannachi A, 2001, J CLIMATE, V14, P2138, DOI 10.1175/1520-0442(2001)014<2138:TANIOT>2.0.CO;2.
   Hoerling MP, 1997, J CLIMATE, V10, P1769, DOI 10.1175/1520-0442(1997)010<1769:ENOLNA>2.0.CO;2.
   Hoerling MP, 2001, J CLIMATE, V14, P1277, DOI 10.1175/1520-0442(2001)014<1277:ROTNCR>2.0.CO;2.
   Hsieh WW, 1998, B AM METEOROL SOC, V79, P1855, DOI 10.1175/1520-0477(1998)079<1855:ANNMTP>2.0.CO;2.
   Hsieh WW, 2001, J CLIMATE, V14, P2528, DOI 10.1175/1520-0442(2001)014<2528:NCCAOT>2.0.CO;2.
   HURRELL JW, 1995, SCIENCE, V269, P676, DOI 10.1126/science.269.5224.676.
   Kalnay E, 1996, B AM METEOROL SOC, V77, P437, DOI 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2.
   Montroy DL, 1998, J CLIMATE, V11, P1812, DOI 10.1175/1520-0442(1998)011<1812:ONOMTB>2.0.CO;2.
   Pozo-Vazquez D, 2001, J CLIMATE, V14, P3408, DOI 10.1175/1520-0442(2001)014<3408:TABEAW>2.0.CO;2.
   Sardeshmukh PD, 2000, J CLIMATE, V13, P4268, DOI 10.1175/1520-0442(2000)013<4268:COPAWE>2.0.CO;2.
   Shabbar A, 1997, J CLIMATE, V10, P3016, DOI 10.1175/1520-0442(1997)010<3016:CPPAWT>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.
   Wu AM, 2003, J CLIMATE, V16, P2325, DOI 10.1175/2776.1.}},
Number-of-Cited-References = {{15}},
Times-Cited = {{37}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{10}},
Journal-ISO = {{Geophys. Res. Lett.}},
Doc-Delivery-Number = {{765WD}},
Unique-ID = {{ISI:000188306600004}},
OA = {{Green Published}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000227690500041,
Author = {Bogataj, L and Ferbar, L and Bogataj, M},
Editor = {{Callaos, N and Chambah, M and Gaburro, Z and Loutfi, M}},
Title = {{Controllability of supply chains, controlled in Laplace - Transformed
   space}},
Booktitle = {{8TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS,
   VOL XII, PROCEEDINGS: APPLICATIONS OF CYBERNETICS AND INFORMATICS IN
   OPTICS, SIGNALS, SCIENCE AND ENGINEERING}},
Year = {{2004}},
Pages = {{215-221}},
Note = {{8th World Multi-Conference on Systemics, Cybernetics and Informatics,
   Orlando, FL, JUL 18-21, 2004}},
Organization = {{Int Inst Informat \& System; Amer Soc Cybernet; Acad Non Linear Sci;
   Univ Las Palmas Gran Canaria, Telemat Engn Dept, Concurrency \&
   Architecture Grp; CUST, Blaise Pascal Univ, Engn Sci Inst; Cybernet \&
   Human Knowing; Int Federat Syst Res; Int Syst Inst; Int Soc Syst Sci;
   Italian Soc System; Univ Nacl San Luis, Lab Res Computac Intelligence,
   Dept Informat; Polish Syst Soc; Slovenian Artificial Intelligence Soc;
   Soc Appl Syst Res; Syst Soc Poland; Ctr Syst Studies; Tunisian Sci Soc;
   World Org System \& Cybernet; IEEE Comp Soc, Venezuela Chapter; IEEE,
   Venezuela Chapter; Natl Res Council Canada; Steacie Inst Mol Sci}},
Abstract = {{In MRP - DRP logistics an important question is the following: which
   states of inventories distributed in a global supply chain are feasible?
   This relates to the concept of controllability where we are concerned:
   whether or not a control (for instance production level or distribution
   flow intensity) exists that can cause the state or output of a system to
   follow some desired paths. The paper gives a positive answer to the
   question above when certain conditions are satisfied in L(2) space, in
   general presented in Bogataj (1989). The moment of reflection inspires
   us to find out that the proper characterisation of state space of MRP
   DRP logistic model is the Lebesgue measurable space L(2) ({[}0,
   infinity)(-), R(m)) of square integrable functions). ne introduction of
   such a space is necessary to get a proper mathematical foundation of the
   MRP-DRP model of logistic chain, because by such an approach the
   one-to-one correspondence of functions in Laplace transforms is assured.}},
Publisher = {{INT INST INFORMATICS \& SYSTEMICS}},
Address = {{14269 LORD BARCLAY DR, ORLANDO, FL 32837 USA}},
Type = {{Proceedings Paper}},
Language = {{English}},
Affiliation = {{Bogataj, L (Corresponding Author), Univ Ljubljana, Fac Econ, Kardeljeva Ploscad 17, Ljubljana 1000, Slovenia.
   Univ Ljubljana, Fac Econ, Ljubljana 1000, Slovenia.}},
ISBN = {{980-6560-13-2}},
Keywords = {{input-output analysis; Laplace transforms; supply chains management
   (SCM); material requirements planning; logistics; controllability;
   Lebesgue measure; L(2)-space}},
Keywords-Plus = {{MULTIECHELON INVENTORY SYSTEMS; INPUT-OUTPUT; MRP}},
Research-Areas = {{Computer Science; Engineering; Optics; Imaging Science \& Photographic
   Technology}},
Web-of-Science-Categories  = {{Computer Science, Artificial Intelligence; Computer Science,
   Cybernetics; Engineering, Electrical \& Electronic; Optics; Imaging
   Science \& Photographic Technology}},
Cited-References = {{ANDERSSON LE, 1994, WP210 DEP PROD EC LI.
   BARNETT S, 1995, SOME MODERN APPL MAT.
   Bogataj L, 1996, INT J PROD ECON, V45, P329, DOI 10.1016/0925-5273(96)00050-3.
   BOGATAJ L, 1998, INPUT OUTPUT ANAL LA, P61.
   BOGATAJ L, 1998, INPUT OUTPUT ANAL LA.
   BOGATAJ L, 1989, GLAS MAT, V24, P355.
   Bogataj M, 1999, INT J PROD ECON, V59, P271, DOI 10.1016/S0925-5273(98)00103-0.
   Bogataj M, 1996, INT J PROD ECON, V45, P337, DOI 10.1016/0925-5273(96)00005-9.
   BOGATAJ M, 2004, IN PRESS INT J PROD.
   BOGATAJ M, 2003, HMS 2003, P40.
   Bogataj M., 1998, INVENTORY MODELLING, P15.
   Bonney M.C., 1988, ENG COSTS PROD EC, V15, P169.
   FERBAR L, 2003, WP12003 KMOR U LJUBL.
   Grubbstrom R. W., 1967, MANAGE SCI, V13, P558, DOI {[}10.1287/mnsc.13.7.558, DOI 10.1287/MNSC.13.7.558].
   Grubbstrom R.W., 1990, REV MATEMATICA SCI E, V12, P43.
   Grubbstrom R. W., 1989, RR121 LINK I TECHN D.
   Grubbstrom RW, 1996, INT J PROD ECON, V45, P407, DOI 10.1016/0925-5273(96)00009-6.
   GRUBBSTROM RW, 1994, INT J PROD ECON, V35, P299, DOI 10.1016/0925-5273(94)90096-5.
   GRUBBSTROM RW, 1998, OVERVIEW INPUT OUTPU.
   HENNET JC, 1998, FEEDBACK CONTROL APP.
   Horvat L., 1996, P GLOCOSM C BANG IND, P149.
   HORVAT L, 1996, P 2 S CHIN INT BUS S, V2, P1091.
   POPPLEWELL K, 1987, INT J PROD RES, V25, P45, DOI 10.1080/00207548708919822.}},
Number-of-Cited-References = {{23}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{1}},
Doc-Delivery-Number = {{BBT41}},
Unique-ID = {{ISI:000227690500041}},
DA = {{2020-08-06}},
}

@article{ ISI:000188438400005,
Author = {Huang, G},
Title = {{An index measuring the interannual variation of the East Asian summer
   monsoon - The EAP index}},
Journal = {{ADVANCES IN ATMOSPHERIC SCIENCES}},
Year = {{2004}},
Volume = {{21}},
Number = {{1}},
Pages = {{41-52}},
Month = {{JAN}},
Abstract = {{Based on the EAP (East Asia/Pacific) teleconnection in the summer
   circulation anomalies over the Northern Hemisphere, an index measuring
   the strength of the East Asian summer monsoon, i.e., the so-called EAP
   index, is defined in this paper. From the analyses of observed data, it
   is clearly shown that the EAP index defined in this study can well
   describe the interannual variability of summer rainfall and surface air
   temperature in East Asia, especially in the Yangtze River valley and the
   Huaihe River valley, Korea, and Japan. Moreover, this index can also
   reflect the interannual variability of the East Asian summer monsoon
   system including the monsoon horizontal circulation and the
   vertical-meridional circulation cell over East Asia. From the composite
   analyses of climate and monsoon circulation anomalies for high EAP index
   and for low EAP index, respectively, it is well demonstrated that the
   EAP index proposed in this study can well measure the strength of the
   East Asian summer monsoon.}},
Publisher = {{SCIENCE PRESS}},
Address = {{16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Huang, G (Corresponding Author), Chinese Acad Sci, Inst Atmospher Phys, RCE TEA, Beijing 100029, Peoples R China.
   Chinese Acad Sci, Inst Atmospher Phys, RCE TEA, Beijing 100029, Peoples R China.
   Chinese Acad Sci, Inst Atmospher Phys, LASG, Beijing 100029, Peoples R China.}},
DOI = {{10.1007/BF02915679}},
ISSN = {{0256-1530}},
EISSN = {{1861-9533}},
Keywords = {{East Asia/Pacific index; East Asian summer monsoon; interannual
   variability}},
Keywords-Plus = {{TROPICAL WESTERN PACIFIC}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{hg@mail.iap.ac.cn}},
ResearcherID-Numbers = {{huang, gang/D-6427-2012}},
ORCID-Numbers = {{huang, gang/0000-0002-8692-7856}},
Cited-References = {{DING Y, 1994, MONSOON OVER CHINA.
   GUO QY, 1983, CHINESE J GEOGRAPHY, V38, P207.
   Huang R, 1998, CHINESE J ATMOS SCI, V22, P368.
   HUANG R, 1988, CHINESE J ATMOS SCI, P107.
   Huang R.H., 1987, P INT C GEN CIRC E A, P40.
   HUANG RH, 1992, J METEOROL SOC JPN, V70, P243, DOI 10.2151/jmsj1965.70.1B\_243.
   {[}黄荣辉 Huang Ronghui], 2002, {[}自然灾害学报, Journal of Natural Disasters], V11, P1.
   Huang Ronghui, 1998, CLIMATIC ENV RES, V3, P300, DOI DOI 10.3878/J.ISSN.1006-9585.1998.04.02.(IN.
   Kurihara K., 1989, Geophysical Magazine, V43, P45.
   Murakami T., 1994, J METEOR SOC JAPAN, V72, P745.
   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.
   RAMAGE C, 1971, INT GEOPHYSICS SERIE, V15.
   SHI Neng, 1996, CHINESE J ATMOS SCI, V20, P385.
   Tao S.Y., 1985, P INT C MONS FAR E T, P1.
   Tao SY, 1987, MONSOON METEOROLOGY, P60, DOI DOI 10.16175/J.CNKI.1009-4229.2011.11.012.
   WEBSTER PJ, 1992, Q J ROY METEOR SOC, V118, P877, DOI 10.1256/smsqj.50704.
   Ye D., 1996, RES REGULARITY CAUSE.
   ZENG QC, 1994, P INDIAN NAT SCI ACA, V60, P81.
   {[}张庆云 Zhang Qingyun], 2003, {[}大气科学, Chinese Journal of Atmospheric Sciences], V27, P97.}},
Number-of-Cited-References = {{20}},
Times-Cited = {{71}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{20}},
Journal-ISO = {{Adv. Atmos. Sci.}},
Doc-Delivery-Number = {{767KH}},
Unique-ID = {{ISI:000188438400005}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000232368400085,
Author = {Ekaykin, AA and Lipenkov, VY and Kuzmina, IN and Petit, JR and
   Masson-Delmotte, V and Johnsen, SJ},
Editor = {{Jacka, J}},
Title = {{The changes in isotope composition and accumulation of snow at Vostok
   station, East Antarctica, over the past 200 years}},
Booktitle = {{ANNALS OF GLACIOLOGY, VOL 39, 2004}},
Series = {{Annals of Glaciology-Series}},
Year = {{2004}},
Volume = {{39}},
Pages = {{569-575}},
Note = {{7th International Symposium on Antarctic Glaciology (ISAG-7), Univ
   Milano Bicocca, Milan, ITALY, AUG 25-29, 2003}},
Organization = {{Sci Comm Antarct Res; Int Glaciol Soc; Italian Antarct Res Programme;
   Italian Glaciol Comm; Italian Agcy New Technol, Energy \& Environm}},
Abstract = {{High-resolution records of isotope composition (8113) and accumulation
   of snow have been obtained from 10-12 m deep snow pits dug in the
   vicinity of Vostok station during the 1979/80 and 1999/2000 Antarctic
   field seasons. We employ meteorological, balloon-sounding and snow-stake
   data to interpret the isotope record in terms of past temperature
   changes. Our reconstruction suggests that snow accumulation rate and the
   near-surface air temperature at Vostok have varied during the past 200
   years between 15 and 30 kg m(-2) a(-1), and between -56 and -55 degrees
   C, respectively, with a slight general tendency to increase from the
   past to the present. Both parameters reveal a 50 year periodicity that
   correlates with the Pacific Decadal Oscillation index, implying a
   climatic teleconnection between central Antarctica and the tropical
   Pacific.}},
Publisher = {{INT GLACIOLOGICAL SOC}},
Address = {{LENSFIELD RD, CAMBRIDGE CB2 1ER, ENGLAND}},
Type = {{Article; Proceedings Paper}},
Language = {{English}},
Affiliation = {{Ekaykin, AA (Corresponding Author), Arctic \& Antarctic Res Inst, 38 Beringa St, St Petersburg 199397, Russia.
   Arctic \& Antarctic Res Inst, St Petersburg 199397, Russia.
   CNRS, Lab Glaciol \& Geophys Environm, F-38402 St Martin Dheres, France.
   CE Saclay, Lab Sci Climat \& Environm, F-91191 Gif Sur Yvette, France.
   Niels Bohr Inst, DK-2100 Copenhagen, Denmark.}},
DOI = {{10.3189/172756404781814348}},
ISSN = {{0260-3055}},
ISBN = {{0-946417-34-2}},
Keywords-Plus = {{ICE CORES; SOUTHERN-HEMISPHERE; VARIABILITY; RECORD}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary}},
Author-Email = {{ekaykin@aari.nw.ru}},
ResearcherID-Numbers = {{Sokratova, Irina/A-6622-2011
   Masson-Delmotte, Valerie L/G-1995-2011
   Lipenkov, Vladimir Y/Q-8262-2016
   Ekaykin, Alexey/K-9894-2015}},
ORCID-Numbers = {{Sokratova, Irina/0000-0002-6104-7414
   Masson-Delmotte, Valerie L/0000-0001-8296-381X
   Lipenkov, Vladimir Y/0000-0003-4221-5440
   Ekaykin, Alexey/0000-0001-9819-2802}},
Cited-References = {{ARTEMIEV AN, 1976, SOVETSKAYA ANTARKTIC, V66.
   AVERYANOV VG, 1990, GLYATSIOKLIMATOLOGIY.
   BROMWICH DH, 1988, REV GEOPHYS, V26, P149, DOI 10.1029/RG026i001p00149.
   Chavez FP, 2003, SCIENCE, V299, P217, DOI 10.1126/science.1075880.
   Doran PT, 2002, NATURE, V415, P517, DOI 10.1038/nature710.
   Ekaykin A. A., 2003, MAT GLYATSIOL ISSLED, V94, P163.
   Ekaykin AA, 2002, ANN GLACIOL-SER, V35, P181, DOI 10.3189/172756402781816726.
   EKAYKIN AA, 2003, THESIS U J FOURIER.
   EKAYKIN AA, 1998, VESTNIK STPETERSB 7, V4, P38.
   ENOMOTO H, 1991, CLIMATIC CHANGE, V18, P67, DOI 10.1007/BF00142505.
   Fisher D. A., 1985, ANN GLACIOL, V7, P76, DOI DOI 10.1017/S0260305500005942.
   {*}ITASE, 1997, ITASE WORKSH REP SER.
   JOHNSEN SJ, 2000, PHYS ICE CORE RECORD, P121.
   JOUZEL J, 1984, J GEOPHYS RES-ATMOS, V89, P1749, DOI 10.1029/JD089iD07p11749.
   Jouzel J, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2002JD002677.
   JOUZEL J, 1983, J GEOPHYS RES-OCEANS, V88, P2693, DOI 10.1029/JC088iC04p02693.
   MORGAN VI, 1991, NATURE, V354, P58, DOI 10.1038/354058a0.
   Petit JR, 1999, NATURE, V399, P429, DOI 10.1038/20859.
   POURCHET M, 1983, J GEOPHYS RES-OCEANS, V88, P6013, DOI 10.1029/JC088iC10p06013.
   ROBIN GDQ, 1977, PHILOS T ROY SOC B, V280, P143, DOI 10.1098/rstb.1977.0103.
   Simmonds I, 2000, J CLIMATE, V13, P550, DOI 10.1175/1520-0442(2000)013<0550:VOSHEC>2.0.CO;2.
   Waddington ED, 2002, ANN GLACIOL-SER, V35, P118, DOI 10.3189/172756402781817004.}},
Number-of-Cited-References = {{22}},
Times-Cited = {{62}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{4}},
Doc-Delivery-Number = {{BDB58}},
Unique-ID = {{ISI:000232368400085}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000189492400286,
Author = {Shepard, JD},
Book-Group-Author = {{IEEE}},
Title = {{A structured approach for product demand forecasting}},
Booktitle = {{APEC 2004: NINETEENTH ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE
   AND EXPOSITION, VOLS 1-3}},
Series = {{Annual IEEE Applied Power Electronics Conference and Exposition (APEC)}},
Year = {{2004}},
Pages = {{1884-1888}},
Note = {{19th Annual IEEE Applied Power Electronics Conference, Aachen, GERMANY,
   FEB 22-26, 2004}},
Organization = {{IEEE; IEEE PELS; Power Sources Manufacturers Assoc; IEEE Ind Applicat
   Soc}},
Abstract = {{Product demand forecasting is a key component in the development of
   effective business models for the power electronics industry. This paper
   describes a structure for effective demand forecasting based on
   information sources external to and independent of the industry and
   product that are the focus of the forecast. The approach is based on an
   analytical technique originally proposed by Leontief {[}7] and known as
   input-output analysis.}},
Publisher = {{IEEE}},
Address = {{345 E 47TH ST, NEW YORK, NY 10017 USA}},
Type = {{Proceedings Paper}},
Language = {{English}},
Affiliation = {{Shepard, JD (Corresponding Author), Darnell Grp Inc, 1159-B Pomona Rd, Corona, CA 92882 USA.
   Darnell Grp Inc, Corona, CA 92882 USA.}},
ISSN = {{1048-2334}},
ISBN = {{0-7803-8269-2}},
Keywords = {{forecasting; Fisher-Pry curve; learning curve; technology substitution}},
Research-Areas = {{Engineering}},
Web-of-Science-Categories  = {{Engineering, Electrical \& Electronic}},
Author-Email = {{jshepard@damell.com}},
Cited-References = {{{*}DARN GROUP, 2003, GLOB COMM POW MARK F, P50.
   {*}DARN GROUP, 2002, DC DC CONV GLOB MARK, P56.
   Darnell Group, 2003, FUEL CELLS PORT POW, P134.
   FISHER JC, TECHNOLOGY FORECASTI, V3, P75.
   Huljak R. J., 2000, APEC 2000. Fifteenth Annual IEEE Applied Power Electronics Conference and Exposition (Cat. No.00CH37058), P10, DOI 10.1109/APEC.2000.826076.
   Leontief WW, 1936, REV ECON STATISTICS, V18, P105, DOI 10.2307/1927837.
   Miles FM, 1999, APPL POWER ELECT CO, P61, DOI 10.1109/APEC.1999.749490.
   Miller R.E., 1985, INPUT OUTPUT ANAL FD.
   {*}UN DEV PROGR, 2000, WORKSH P JUN 6, P6.
   Wright T., 1936, J AERONAUT SCI, V3, P122, DOI DOI 10.2514/8.155.}},
Number-of-Cited-References = {{10}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{3}},
Doc-Delivery-Number = {{BY90U}},
Unique-ID = {{ISI:000189492400286}},
DA = {{2020-08-06}},
}

@article{ ISI:000208101300003,
Author = {Kryjov, Vladimir N.},
Title = {{Searching for circulation patterns affecting North Europe annual
   temperature}},
Journal = {{ATMOSPHERIC SCIENCE LETTERS}},
Year = {{2004}},
Volume = {{5}},
Number = {{1-4}},
Pages = {{23-34}},
Month = {{JAN-FEB}},
Abstract = {{Statistical analysis of Northern Europe annual temperature against
   monthly pressure fields reveals that the circulation modes resembling
   North Atlantic/Arctic Oscillation significantly contribute to annual
   temperature only in January and February. In November, significant
   contribution is associated with the Labrador-Scandinavia teleconnection
   pattern. The January-February and November circulation modes are
   significantly (negatively) correlated with each other. (C) 2003 Royal
   Meterological Society. Published by Elsevier Ltd. All rights reserved.}},
Publisher = {{WILEY-BLACKWELL}},
Address = {{COMMERCE PLACE, 350 MAIN ST, MALDEN 02148, MA USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Kryjov, VN (Corresponding Author), Hydrometeorol Res Ctr Russian Federat, Moscow, Russia.
   Hydrometeorol Res Ctr Russian Federat, Moscow, Russia.}},
DOI = {{10.1016/j.atmoscilet.2003.11.003}},
ISSN = {{1530-261X}},
Keywords = {{Northern Europe; Annual temperature; Circulation; Teleconnections;
   Correlation; Regression; Field significance test}},
Research-Areas = {{Geochemistry \& Geophysics; Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Geochemistry \& Geophysics; Meteorology \& Atmospheric Sciences}},
Author-Email = {{kryjov@rhmc.mecom.ru}},
ResearcherID-Numbers = {{Kryjov, Vladimir/AAS-1761-2020}},
Cited-References = {{ARISTOV NA, 1972, GIDEBOOK MONTHLY WEA, P366.
   Bamzai AS, 2003, INT J CLIMATOL, V23, P131, DOI 10.1002/joc.854.
   BARNSTON AG, 1987, MON WEATHER REV, V115, P1083, DOI 10.1175/1520-0493(1987)115<1083:CSAPOL>2.0.CO;2.
   BJERKNES J, 1922, GEOFYS PUBL, V3, P3.
   CHROMOV SP, 1937, INTRO SYNOPTIC ANAL, P510.
   Deser C, 2000, J CLIMATE, V13, P617, DOI 10.1175/1520-0442(2000)013<0617:ASIVIT>2.0.CO;2.
   DROGAYTSEV DA, 1959, LONG TERM HYDROMETEO.
   DZERDZEEVSKY BL, 1975, GEN CIRCULATION ATMO.
   GIRS AA, 1974, MACROCIRCULATION MET.
   Gong DY, 2002, THEOR APPL CLIMATOL, V72, P1, DOI 10.1007/s007040200008.
   HURRELL JW, 1995, SCIENCE, V269, P676, DOI 10.1126/science.269.5224.676.
   IPCC, 2001, 3 IPCC.
   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.
   Kaplan A, 1998, J GEOPHYS RES-OCEANS, V103, P18567, DOI 10.1029/97JC01736.
   Kryjov VN, 2002, INT J CLIMATOL, V22, P779, DOI 10.1002/joc.746.
   KRYJOV VN, 2003, METEOROL HYDROL, P15.
   LIVEZEY RE, 1983, MON WEATHER REV, V111, P46, DOI 10.1175/1520-0493(1983)111<0046:SFSAID>2.0.CO;2.
   Rigor IG, 2002, J CLIMATE, V15, P2648, DOI 10.1175/1520-0442(2002)015<2648:ROSITT>2.0.CO;2.
   ROGERS JC, 1979, MON WEATHER REV, V107, P509, DOI 10.1175/1520-0493(1979)107<0509:TSIWTB>2.0.CO;2.
   Slonosky V, 2002, CLIM DYNAM, V19, P17, DOI 10.1007/s00382-001-0211-y.
   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.
   VANLOON H, 1978, MON WEATHER REV, V106, P296, DOI 10.1175/1520-0493(1978)106<0296:TSIWTB>2.0.CO;2.
   Yule GU, 1960, THEORY STAT.}},
Number-of-Cited-References = {{27}},
Times-Cited = {{7}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Journal-ISO = {{Atmos. Sci. Lett.}},
Doc-Delivery-Number = {{V19WA}},
Unique-ID = {{ISI:000208101300003}},
DA = {{2020-08-06}},
}

@article{ ISI:000220239800013,
Author = {Xu, XD and Chen, LS and Wang, XR and Miao, QJ and Tao, SY},
Title = {{Moisture transport source/sink structure of the Meiyu rain belt along
   the Yangtze River valley}},
Journal = {{CHINESE SCIENCE BULLETIN}},
Year = {{2004}},
Volume = {{49}},
Number = {{2}},
Pages = {{181-188}},
Month = {{JAN}},
Abstract = {{Based on the analyses of the moisture transport structure in the whole
   layer of the troposphere along the Yangtze River valley during
   drought/flood years using the NCEP reanalysis data, this paper reveals
   that there exists a key region with a ``Large Triangle{''} shape of
   transporting moisture for the Tibetan Plateau to Meiyu Belt and its
   ``source/sink{''} structure; discloses that the interannual variation of
   the whole budget of inflow and outflow of moisture through the
   boundaries of a ``Large Triangle{''} key region has the in-phase
   characteristic. Then a moisture transport structure over the skirt of
   the plateau and a conceptual model on the ``transfer post{''} of
   moisture transport in the area of the South China Sea-Tibetan
   Plateau-Yangtze River valley in summer are put forward in this paper;
   the anti-phase feature of whole layer moisture transport now patterns of
   Yangtze River valley during drought/flooding years is exhibited using
   the computational scheme of whole layer moisture transport correlation
   vector fields; a comprehensive dynamic model and its physical diagram of
   the teleconnection source/sink structure of the moisture transport of
   the Meiyu rain belt have been made. It shows that the moisture transfer
   effect over the skirt of the plateau from the ocean (Indian Ocean, South
   China Sea and west North Pacific) led to a moisture confluence belt in
   the Yangtze River valley and the teleconnection moisture transport
   source/sink structure over the ``Large triangle{''} shape area in
   flooding years.}},
Publisher = {{SCIENCE PRESS}},
Address = {{16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Xu, XD (Corresponding Author), Chinese Acad Meteorol Sci, Beijing 100081, Peoples R China.
   Chinese Acad Meteorol Sci, Beijing 100081, Peoples R China.
   Natl Meteorol Ctr, Beijing 100081, Peoples R China.
   Chinese Acad Sci, Inst Atmospher Phys, Beijing 100029, Peoples R China.}},
DOI = {{10.1360/03wd0047}},
ISSN = {{1001-6538}},
EISSN = {{1861-9541}},
Keywords = {{monsoon rain belt; source/sink structure; moisture longrange transport}},
Research-Areas = {{Science \& Technology - Other Topics}},
Web-of-Science-Categories  = {{Multidisciplinary Sciences}},
Author-Email = {{cep99@cams.cma.gov.cn}},
Cited-References = {{CHEN LX, 1991, E ASIAN MONSOON, P49.
   Gu ZC, 1955, SCI SINICA, V4, P29.
   Huang R. H., 1985, ADV ATMOS SCI, V2, P81, DOI DOI 10.1007/BF03179740.
   HUANG RH, 1998, SCI ATMOSPHERICA SIN, V22, P107.
   Liu G. W., 1997, ATMOSPHERIC PROCESSE.
   TAO SY, 1985, P INT C MONS FAR E, P5.
   WANG DX, 2001, J TROPICAL OCEANOGRA, V20, P82.
   Wu GX, 1998, MON WEATHER REV, V126, P913, DOI 10.1175/1520-0493(1998)126<0913:TPFATT>2.0.CO;2.
   Xu XD, 2003, ADV ATMOS SCI, V20, P333, DOI 10.1007/BF02690791.
   XU XD, 2001, SCI CHINA SER D, V31, P429.
   {[}徐祥德 Xu Xiangde], 2002, {[}气象学报, Acta Meteorologica Sinica], V60, P257.
   Ye D. Z., 1958, ACTA METEOROL SIN, V29, P249.}},
Number-of-Cited-References = {{12}},
Times-Cited = {{21}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{7}},
Journal-ISO = {{Chin. Sci. Bull.}},
Doc-Delivery-Number = {{803OG}},
Unique-ID = {{ISI:000220239800013}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000225291800015,
Author = {Tada, R},
Editor = {{Clift, P and Kuhnt, W and Wang, P and Hayes, D}},
Title = {{Onset and evolution of millennial-scale variability in the Asian monsoon
   and its impact on paleoceanography of the Japan Sea}},
Booktitle = {{CONTINENT-OCEAN INTERACTIONS WITHIN EAST ASIAN MARGINAL SEAS}},
Series = {{Geophysical Monograph Book Series}},
Year = {{2004}},
Volume = {{149}},
Pages = {{283-298}},
Note = {{Chapman Conference on Continent-Ocean Interactions within the East Asian
   Marginal Seas, San Diego, CA, NOV 11-14, 2002}},
Organization = {{Amer Geophys Union}},
Abstract = {{Recent advances in paleoceanographic/paleoclimatic studies of the Japan
   Sea and terrestrial China confirm the close association between
   millennial-scale variability of the Asian monsoon and the
   Dansgaard-Oeschger Cycles (DOC) of the North Atlantic. However, neither
   their teleconnection mechanism nor the ultimate driving force is well
   understood. Oceanography of the Japan Sea is strongly influenced by the
   nature of the influx from the East China Sea, which is highly sensitive
   to the East Asian summer monsoon. The sea also received significant
   eolian flux from Asia that is controlled by the interplay between the
   winter monsoon and the westerly jet. Grain size and provenance studies
   of the eolian dust in loess-paleosol sequences in East Asia and in the
   Japan Sea suggest that oscillations in westerly jet meandering pattern
   could be responsible for the teleconnection. In order to confirm the
   teleconnection mechanism, it is critical to reconstruct the nature and
   spatial patterns of millennial-scale variability of the Asian monsoon. I
   also examine the relationship between the evolution of millennial-scale
   variability in the Asian monsoon and the surface uplift history of the
   Himalayas and Tibetan Plateau, which has been commonly linked to monsoon
   intensity by climate modeling. In this respect, the Japan Sea is an
   excellent recorder of the orbital- to suborbital-scale variability of
   the East Asian monsoon over the last 3.5 m.y.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Proceedings Paper}},
Language = {{English}},
Affiliation = {{Tada, R (Corresponding Author), Univ Tokyo, Grad Sch Sci, Dept Earth \& Planetary Sci, Sci Bldg 5,7-3-1 Hongo, Tokyo 1130033, Japan.
   Univ Tokyo, Grad Sch Sci, Dept Earth \& Planetary Sci, Tokyo 1130033, Japan.}},
DOI = {{10.1029/149GM15}},
ISSN = {{0065-8448}},
ISBN = {{0-87590-414-9}},
Keywords-Plus = {{LAST GLACIAL PERIOD; NORTH-ATLANTIC; CLIMATIC VARIABILITY;
   ARCTIC-OSCILLATION; SUMMER MONSOON; WINTER MONSOON; YELLOW-RIVER;
   UPLIFT; DUST; SENSITIVITY}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary}},
Cited-References = {{Abe M, 2003, J METEOROL SOC JPN, V81, P909, DOI 10.2151/jmsj.81.909.
   An ZS, 2000, QUATERNARY SCI REV, V19, P743, DOI 10.1016/S0277-3791(99)00031-1.
   An ZS, 2001, NATURE, V411, P62.
   ANKLIN M, 1993, NATURE, V364, P203.
   Bond G, 2001, SCIENCE, V294, P2130, DOI 10.1126/science.1065680.
   BOND GC, 1995, SCIENCE, V267, P1005, DOI 10.1126/science.267.5200.1005.
   BROCCOLI AJ, 1997, TECTONIC UPLIFT CLIM, P89.
   Broecker WS, 1990, PALEOCEANOGRAPHY, V5, P469, DOI 10.1029/PA005i004p00469.
   CHAPPELLAZ J, 1993, NATURE, V366, P443, DOI 10.1038/366443a0.
   Chen CTA, 1999, J GEOPHYS RES-OCEANS, V104, P20675, DOI 10.1029/1999JC900055.
   DANSGAARD W, 1993, NATURE, V364, P218, DOI 10.1038/364218a0.
   DUNBAR RB, 1992, P OC DRILL PROGR SCI, V0127.
   Gamo T, 1999, GEOPHYS RES LETT, V26, P3137, DOI 10.1029/1999GL002341.
   Gong DY, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2002JD002193.
   Gong DY, 2001, GEOPHYS RES LETT, V28, P2073, DOI 10.1029/2000GL012311.
   Guo ZT, 1998, GLOBAL PLANET CHANGE, V18, P113, DOI 10.1016/S0921-8181(98)00010-1.
   Guo ZT, 2002, NATURE, V416, P159, DOI 10.1038/416159a.
   HARADA K, 1986, J MAR RES, V44, P781.
   HASE H, 1999, J OCEANOGR, V55, P217, DOI DOI 10.1023/A:1007894030095.
   Horibe Y., 1983, J OCEANOGR SOC JAPAN, V39, P220, DOI DOI 10.1007/BF02070392.
   HOVAN SA, 1989, NATURE, V340, P296, DOI 10.1038/340296a0.
   IIJIMA A, 1990, Journal of the Faculty of Science University of Tokyo Section II Geology Mineralogy Geography Geophysics, V22, P121.
   Ikehara K, 2003, J OCEANOGR, V59, P585, DOI 10.1023/B:JOCE.0000009588.49944.3d.
   INOUE K, 1987, SOIL SCI PLANT NUTR, V33, P327, DOI 10.1080/00380768.1987.10557579.
   Irino T, 2000, GEOCHEM J, V34, P59, DOI 10.2343/geochemj.34.59.
   Irino T, 2003, GLOBAL PLANET CHANGE, V35, P143, DOI 10.1016/S0921-8181(02)00135-2.
   Ishiwatari R, 2001, ORG GEOCHEM, V32, P57, DOI 10.1016/S0146-6380(00)00151-0.
   ISOBE A, 1994, KAIYO MONTHLY, V26, P802.
   ISOBE A, 2002, J GEOPHYS RES, V107, DOI DOI 10.1029/200JC00702.
   Iwamoto K, 2001, J METEOROL SOC JPN, V79, P687, DOI 10.2151/jmsj.79.687.
   IWASAKA Y, 1988, Tellus Series B Chemical and Physical Meteorology, V40, P494.
   Jain AK, 2000, EARTH PLANET SC LETT, V179, P437, DOI 10.1016/S0012-821X(00)00133-3.
   Jansen E, 2000, PALEOCEANOGRAPHY, V15, P709, DOI 10.1029/1999PA000435.
   JOHNSEN SJ, 1992, NATURE, V359, P311, DOI 10.1038/359311a0.
   KIM CH, 1999, J OCEANOGR, V55, P327, DOI DOI 10.1023/A:1007837212219.
   Kodera K, 2002, J GEOPHYS RES-ATMOS, V107, DOI 10.1029/2002JD002224.
   KUKLA G, 1989, PALAEOGEOGR PALAEOCL, V72, P203, DOI 10.1016/0031-0182(89)90143-0.
   KUTZBACH JE, 1993, J GEOL, V101, P177, DOI 10.1086/648215.
   KUTZBACH JE, 1989, J GEOPHYS RES-ATMOS, V94, P18393, DOI 10.1029/JD094iD15p18393.
   Liu XD, 2002, PALAEOGEOGR PALAEOCL, V183, P223, DOI 10.1016/S0031-0182(01)00488-6.
   MANABE S, 1974, J ATMOS SCI, V31, P3, DOI 10.1175/1520-0469(1974)031<0003:TEOMOT>2.0.CO;2.
   MARTIN S, 1992, J GEOPHYS RES-OCEANS, V97, P17753, DOI 10.1029/92JC01587.
   MARTINSON DG, 1987, QUATERNARY RES, V27, P1, DOI 10.1016/0033-5894(87)90046-9.
   MASUZAWA T, 1984, GEOCHEM J, V18, P167, DOI 10.2343/geochemj.18.167.
   MASUZAWA T, 1992, P OCEAN DRILLING PRO, V0127.
   Matsui Hiroyuki, 1998, Quaternary Research (Tokyo), V37, P221.
   MILLIMAN JD, 1987, J GEOL, V95, P751, DOI 10.1086/629175.
   MINAMI I, 2003, THESIS U TOKYO.
   Moreno A, 2002, QUATERNARY RES, V58, P318, DOI 10.1006/qres.2002.2383.
   NAGASHIMA K, 2004, IN PRESS QUAT RES.
   NAGASHIMA K, 2003, 16 INQUA C PROGR ABS.
   NAGASHIMA K, 2004, JAP EARTH PLAN SCI J.
   Oba T, 1991, PALEOCEANOGRAPHY, V6, P499, DOI 10.1029/91PA00560.
   Oba Tadamichi, 1995, Quaternary Research (Tokyo), V34, P289.
   Ono Y, 1997, QUATERN INT, V37, P45, DOI 10.1016/1040-6182(96)00003-1.
   PORTER SC, 1995, NATURE, V375, P305, DOI 10.1038/375305a0.
   PRELL WL, 1992, NATURE, V360, P647, DOI 10.1038/360647a0.
   Qian W, 2002, THEOR APPL CLIMATOL, V73, P151, DOI 10.1007/s00704-002-0679-3.
   Raymo ME, 1998, NATURE, V392, P699, DOI 10.1038/33658.
   Rea DK, 1998, PALEOCEANOGRAPHY, V13, P215, DOI 10.1029/98PA00123.
   REA DK, 1985, SCIENCE, V227, P721, DOI 10.1126/science.227.4688.721.
   RUDDIMAN WF, 1997, TECTONIC UPLIFT CLIM, P3.
   Saito Y, 2001, GEOMORPHOLOGY, V41, P219, DOI 10.1016/S0169-555X(01)00118-0.
   Sanchezgoni MF, 2002, CLIM DYNAM, V19, P95, DOI 10.1007/s00382-001-0212-x.
   Schulz H, 1998, NATURE, V393, P54.
   Shindell DT, 2001, SCIENCE, V294, P2149, DOI 10.1126/science.1064363.
   SUDO H, 1986, PROG OCEANOGR, V17, P313, DOI 10.1016/0079-6611(86)90052-2.
   SUK MS, 1996, J KOREAN SOC OCEANOG, V31, P55.
   SUZUKI T, 1987, MARINE SCI MONTHLY, V19, P657.
   Tada R, 1999, PALEOCEANOGRAPHY, V14, P236, DOI 10.1029/1998PA900016.
   TADA R, 1994, PALAEOGEOGR PALAEOCL, V108, P487, DOI 10.1016/0031-0182(94)90248-8.
   TADA R, 1992, P OC DRILL PROGR SCI, V0127.
   Tada Ryuji, 1999, Quaternary Research (Tokyo), V38, P216.
   Talley LD, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2002GL016451.
   TAYLOR KC, 1993, NATURE, V361, P432, DOI 10.1038/361432a0.
   Thompson DWJ, 2001, SCIENCE, V293, P85, DOI 10.1126/science.1058958.
   TOBA Y, 1982, MER, V20, P41.
   TSUNOGAI S, 1985, Journal of the Oceanographical Society of Japan, V41, P427, DOI 10.1007/BF02109036.
   Tsunogai S, 1993, DEEP OCEAN CIRCULATI, P105.
   Vance D, 2003, EARTH PLANET SC LETT, V206, P273, DOI 10.1016/S0012-821X(02)01102-0.
   Wang YJ, 2001, SCIENCE, V294, P2345, DOI 10.1126/science.1064618.
   WATANABE Y, 1994, KAIYO MONTHLY, V26, P125.
   WATANABE YW, 1991, MAR CHEM, V34, P97, DOI 10.1016/0304-4203(91)90016-P.
   Wobus CW, 2003, GEOLOGY, V31, P861, DOI 10.1130/G19730.1.
   Wu BY, 2002, ADV ATMOS SCI, V19, P297.
   Yanagi T, 2002, J OCEANOGR, V58, P797, DOI 10.1023/A:1022815027968.
   Yang Z. S., 1994, J SEDIMENTOLOGICAL S, V40, P7.
   Yugo O, 1998, GLOBAL PLANET CHANGE, V18, P129, DOI 10.1016/S0921-8181(98)00012-5.
   Zhang J, 1996, CONT SHELF RES, V16, P1023, DOI 10.1016/0278-4343(95)00055-0.
   Zhang XY, 1999, QUATERNARY SCI REV, V18, P811, DOI 10.1016/S0277-3791(98)00028-6.}},
Number-of-Cited-References = {{90}},
Times-Cited = {{28}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{12}},
Doc-Delivery-Number = {{BBF90}},
Unique-ID = {{ISI:000225291800015}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000227333000001,
Author = {Waliszewski, JM and Ahanotu, DN and Fischer, MJ},
Book-Group-Author = {{TRB}},
Title = {{Comparison of commodity flow forecasting techniques in montana}},
Booktitle = {{DATA AND INFORMATION TECHNOLOGY}},
Series = {{TRANSPORTATION RESEARCH RECORD}},
Year = {{2004}},
Number = {{1870}},
Pages = {{1-9}},
Note = {{83rd Annual Meeting of the Transportation-Research-Board, Washington,
   DC, JAN 11-15, 2004}},
Organization = {{Transportat Res Board; US Dept Transportat; US Bur Transportat Stat; US
   Fed Aviat Adm; US Fed Highway Adm; US Fed Motor Carrier Safety Adm; US
   Fed Railroad Adm; US FedTransit Adm; US Natl Highway Traff Safety Adm;
   US Res\& Special Programs Adm; NASA; USA Corps Engineers; US Coast
   Guard; US DOE; US EPA}},
Abstract = {{Two methods for developing commodity flow forecasts at a substate level
   of geography are described. The first process is a simplified method
   that relies entirely on the commodity percentage increases provided at
   the state level in the FHWA freight analysis framework database. The
   second method uses a combination of substate employment data and
   input-output analysis to distribute the forecasted growth for each
   commodity to each zone in the study area. The differences between these
   two methods are shown geographically and in table form at the county
   level of detail. Additionally, a chi-squared goodness-of-fit test is
   used to determine whether the two forecasting methods are statistically
   different for inbound, outbound, and internal flows. Most of the
   analysis was taken from the commodity flow freight forecast created for
   the Montana Department of Transportation highway reconfiguration study.
   The results of this comparison are discussed in the context of the
   transportation planning decisions that potentially are improved by using
   the enhanced rather than the simplified forecasting method.}},
Publisher = {{TRANSPORTATION RESEARCH BOARD NATL RESEARCH COUNCIL}},
Address = {{500 FIFTH ST, NW, WASHINGTON, DC 20001 USA}},
Type = {{Article; Proceedings Paper}},
Language = {{English}},
Affiliation = {{Waliszewski, JM (Corresponding Author), MIT, 77 Massachusetts Ave,Room 54-1823, Cambridge, MA 02139 USA.
   MIT, Cambridge, MA 02139 USA.
   Cambridge Systemat Inc, Oakland, CA 94612 USA.}},
ISSN = {{0361-1981}},
ISBN = {{0-309-09464-X}},
Research-Areas = {{Engineering; Transportation}},
Web-of-Science-Categories  = {{Engineering, Civil; Transportation Science \& Technology}},
Cited-References = {{BEAGAN D, 2002, FREIGHT IMPACTS OHIO.
   BLACK WR, 1993, TRANSPORT FLOWS STAT.
   {*}CAL DEP TRANSP, 2001, 2000 ANN AV DAIL TRA.
   {*}CAMBR SYST INC, 1997, 388 NCHRP TRB NAT RE.
   DAVIDIAN V, 2002, SO CALIFORNIAS HEAVY.
   {*}DIR TRANSP DAT SO, 1995, DOTVNTSCBTS951 US DE.
   FISCHER MJ, 1997, TRANSPORATION RES RE, P73.
   Kawamura K, 2000, TRANSPORT RES REC, P31, DOI 10.3141/1725-05.
   MARKER JT, 1998, TRANSPORT RES REC, V1625, P118.
   MEMMOTT FW, 1983, 260 NCHRP NAT RES CO.
   PENDYALA RM, TRANSPORTATION RES R, P9.
   SHANKAR VN, 2001, LEADING EDGE TRAVEL, P629.
   STAMMER RE, 2002, TNSPRRES1147 TENN DE.}},
Number-of-Cited-References = {{13}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{1}},
Doc-Delivery-Number = {{BBQ90}},
Unique-ID = {{ISI:000227333000001}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000225756500005,
Author = {Alexander, MA and Lau, NC and Scott, JD},
Editor = {{Wang, C and Xie, SP and Carton, JA}},
Title = {{Broadening the atmospheric bridge paradigm: ENSO teleconnections to the
   tropical west Pacific-Indian oceans over the seasonal cycle and to the
   north Pacific in summer}},
Booktitle = {{EARTH'S CLIMATE: THE OCEAN-ATMOSPHERE INTERACTION}},
Series = {{Geophysical Monograph Book Series}},
Year = {{2004}},
Volume = {{147}},
Pages = {{85-103}},
Note = {{Conference on Ocean-Atmosphere Interaction and Climate Variability, San
   Francisco, CA, DEC, 2002}},
Organization = {{Amer Geophys Union}},
Abstract = {{During El Nino-Southern Oscillation (ENSO) events, atmospheric
   teleconnections associated with sea surface temperature (SST) anomalies
   in the equatorial Pacific can influence the ocean thousands of
   kilometers away. We use several data sets to delineate this
   ``atmospheric bridge{''} between ocean basins, focusing on two emerging
   research areas: 1) the evolution of atmosphere-ocean interactions in the
   tropical Indian-Western Pacific Oceans over the full ENSO cycle and 2)
   the formation of large-amplitude SST anomalies in North Pacific in the
   summer. before ENSO peaks. In ENSO composites {[}where events peak near
   the end ofYr(0)], an cast-west SST dipole develops in the indian Ocean
   during the summer-fall ofYr(0), followed by basin-wide warming through
   spring of Yr(1). The SST anomalies over most of the tropical
   west-Pacific also reverse sign, from negative in summer of Yr(0) to
   positive in the following summer. Local air-sea interactions influence
   the evolution these ENSO-induced SST anomalies and related sea level
   pressure (SLP) and precipitation anomalies. Over the western North
   Pacific, the southward displacement of the jet stream storm track in the
   summer of Yr(0) changes the solar radiation and latent heat flux at the
   surface, which results in anomalous cooling (and deepening) of the
   oceanic mixed layer at similar to40degreesN. The potential impact of
   both the, tropical and North Pacific SST anomalies on the broader
   climate is discussed.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Proceedings Paper}},
Language = {{English}},
Affiliation = {{Alexander, MA (Corresponding Author), NOAA, Cooperat Inst Res Environm Sci, Climate Diagnost Ctr, R-CDC1,325 Broadway, Boulder, CO 80305 USA.
   NOAA, Cooperat Inst Res Environm Sci, Climate Diagnost Ctr, Boulder, CO 80305 USA.}},
ISSN = {{0065-8448}},
ISBN = {{0-87590-412-2}},
Keywords-Plus = {{SEA-SURFACE TEMPERATURE; EAST ASIAN TELECONNECTION; ISCCP DATA SETS;
   EL-NINO; INTERANNUAL VARIABILITY; SOUTHERN-OSCILLATION; RADIATIVE
   FLUXES; DIPOLE MODE; PART II; CIRCULATION}},
Research-Areas = {{Meteorology \& Atmospheric Sciences; Oceanography}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences; Oceanography}},
Author-Email = {{Michael.Alexander@noaa.gov
   Gabriel.Lau@noaa.gov
   James.D.Scott@noaa.gov}},
ResearcherID-Numbers = {{Alexander, Michael A/A-7097-2013}},
ORCID-Numbers = {{Alexander, Michael A/0000-0001-9646-6427}},
Cited-References = {{Alexander M, 2002, GEOPHYS RES LETT, V29, DOI 10.1029/2001GL014347.
   Alexander MA, 2002, J CLIMATE, V15, P2205, DOI 10.1175/1520-0442(2002)015<2205:TABTIO>2.0.CO;2.
   ALEXANDER MA, 1992, J CLIMATE, V5, P944, DOI 10.1175/1520-0442(1992)005<0944:MAIDEN>2.0.CO;2.
   ALLAN R, 2001, CLIVAR EXCHANGES, V6, P18.
   Barlow M, 2001, J CLIMATE, V14, P2105, DOI 10.1175/1520-0442(2001)014<2105:EPDVAU>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.
   Barsugli JJ, 1998, J ATMOS SCI, V55, P477, DOI 10.1175/1520-0469(1998)055<0477:TBEOAO>2.0.CO;2.
   Behera SK, 2000, J CLIMATE, V13, P3487, DOI 10.1175/1520-0442(2000)013<3487:SOISVI>2.0.CO;2.
   Blade I, 1999, J CLIMATE, V12, P21, DOI 10.1175/1520-0442-12.1.21.
   CADET DL, 1985, J CLIMATOL, V5, P189, DOI 10.1002/joc.3370050206.
   Chambers DP, 1999, J GEOPHYS RES-OCEANS, V104, P3035, DOI 10.1029/1998JC900085.
   Chelton DB, 2001, J CLIMATE, V14, P1479, DOI 10.1175/1520-0442(2001)014<1479:OOCBSW>2.0.CO;2.
   CHEN TC, 1993, J CLIMATE, V6, P2263, DOI 10.1175/1520-0442(1993)006<2263:IVOSSE>2.0.CO;2.
   COVEY DL, 1978, MON WEATHER REV, V106, P1280, DOI 10.1175/1520-0493(1978)106<1280:TPENPA>2.0.CO;2.
   DERBER J, 1989, J PHYS OCEANOGR, V19, P1333, DOI 10.1175/1520-0485(1989)019<1333:AGODAS>2.0.CO;2.
   Deser C, 2003, J CLIMATE, V16, P57, DOI 10.1175/1520-0442(2003)016<0057:UTPOSS>2.0.CO;2.
   ENFIELD DB, 1980, J PHYS OCEANOGR, V10, P557, DOI 10.1175/1520-0485(1980)010<0557:OTSADO>2.0.CO;2.
   FRANKIGNOUL C, 1985, REV GEOPHYS, V23, P357, DOI 10.1029/RG023i004p00357.
   GRIMM AM, 1995, J ATMOS SCI, V52, P3538, DOI 10.1175/1520-0469(1995)052<3538:AOTIWI>2.0.CO;2.
   Harrison DE, 1998, REV GEOPHYS, V36, P353, DOI 10.1029/98RG00715.
   Hendon HH, 2003, J CLIMATE, V16, P1775, DOI {[}10.1175/1520-0442(2003)016<1775:IRVIOE>2.0.CO;2, 10.1175/1520-0442(2003)016\<1775:IRVIOE\>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.
   Iizuka S, 2000, GEOPHYS RES LETT, V27, P3369, DOI 10.1029/2000GL011484.
   JI M, 1995, MON WEATHER REV, V123, P460, DOI 10.1175/1520-0493(1995)123<0460:AOASFS>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.
   Klein SA, 1999, J CLIMATE, V12, P917, DOI 10.1175/1520-0442(1999)012<0917:RSSTVD>2.0.CO;2.
   KLEIN SA, 1993, J CLIMATE, V6, P1587, DOI 10.1175/1520-0442(1993)006<1587:TSCOLS>2.0.CO;2.
   KOK CJ, 1985, J ATMOS SCI, V42, P677, DOI 10.1175/1520-0469(1985)042<0677:PCOAIS>2.0.CO;2.
   Kumar A, 2003, J CLIMATE, V16, P1391, DOI 10.1175/1520-0442-16.9.1391.
   LAU KM, 1992, J CLIMATE, V5, P140, DOI 10.1175/1520-0442(1992)005<0140:DOATDT>2.0.CO;2.
   Lau KM, 2002, J METEOROL SOC JPN, V80, P1129, DOI 10.2151/jmsj.80.1129.
   LAU KM, 2003, IN PRESS J CLIM.
   LAU NC, 1988, J ATMOS SCI, V45, P2718, DOI 10.1175/1520-0469(1988)045<2718:VOTOMS>2.0.CO;2.
   LAU NC, 1984, J ATMOS SCI, V41, P313, DOI 10.1175/1520-0469(1984)041<0313:TEFOTT>2.0.CO;2.
   Lau NC, 1996, J CLIMATE, V9, P2036, DOI 10.1175/1520-0442(1996)009<2036:TROTBI>2.0.CO;2.
   Lau NC, 2004, J CLIMATE, V17, P245, DOI 10.1175/1520-0442(2004)017<0245:CGSOAV>2.0.CO;2.
   Lau NC, 2003, J CLIMATE, V16, P3, DOI 10.1175/1520-0442(2003)016<0003:AOVITI>2.0.CO;2.
   Lau NC, 2000, J CLIMATE, V13, P4287, DOI 10.1175/1520-0442(2000)013<4287:IOEOTV>2.0.CO;2.
   LAU NC, 2004, UNPUB J CLIM.
   LAU NC, 2004, IN PRESS E ASIAN MON.
   Li T, 2003, J ATMOS SCI, V60, P2119, DOI 10.1175/1520-0469(2003)060<2119:ATFTIO>2.0.CO;2.
   Li T, 2002, GEOPHYS RES LETT, V29, DOI 10.1029/2002GL015789.
   LUKSCH U, 1992, J CLIMATE, V5, P893, DOI 10.1175/1520-0442(1992)005<0893:MTLFSS>2.0.CO;2.
   Meehl GA, 1997, J CLIMATE, V10, P1921, DOI 10.1175/1520-0442(1997)010<1921:TSAMAT>2.0.CO;2.
   MO KC, 1991, MON WEATHER REV, V119, P1512, DOI 10.1175/1520-0493(1991)119<1512:AGSOTU>2.0.CO;2.
   MONTEREY GI, 1997, CLIMATOLOGICAL CYCLE.
   Murtugudde R, 2000, J GEOPHYS RES-OCEANS, V105, P3295, DOI 10.1029/1999JC900294.
   Newman M, 1998, J ATMOS SCI, V55, P1336, DOI 10.1175/1520-0469(1998)055<1336:TIOTAC>2.0.CO;2.
   Newman M, 2003, J CLIMATE, V16, P3853, DOI 10.1175/1520-0442(2003)016<3853:EVOTPD>2.0.CO;2.
   Nicholson SE, 1997, INT J CLIMATOL, V17, P345, DOI 10.1002/(SICI)1097-0088(19970330)17:4<345::AID-JOC127>3.0.CO;2-3.
   NITTA T, 1987, J METEOROL SOC JPN, V65, P373, DOI 10.2151/jmsj1965.65.3\_373.
   NITTA T, 1986, J METEOROL SOC JPN, V64, P373, DOI 10.2151/jmsj1965.64.3\_373.
   Nonaka M, 2003, J CLIMATE, V16, P1404, DOI 10.1175/1520-0442(2003)16<1404:COSSTA>2.0.CO;2.
   Norris JR, 1998, J CLIMATE, V11, P2482, DOI 10.1175/1520-0442(1998)011<2482:ROLCIS>2.0.CO;2.
   NORRIS JR, 1994, J CLIMATE, V7, P1915, DOI 10.1175/1520-0442(1994)007<1915:IVISCA>2.0.CO;2.
   Norris JR, 2000, J CLIMATE, V13, P422, DOI 10.1175/1520-0442(2000)013<0422:IAIVIT>2.0.CO;2.
   PALMER TN, 1989, NATURE, V338, P54, DOI 10.1038/338054a0.
   PARESSIERRA A, 1989, J GEOPHYS RES-OCEANS, V94, P3159, DOI 10.1029/JC094iC03p03159.
   PARK S, 2004, UNPUB J CLIM.
   ROSSOW WB, 1995, J GEOPHYS RES-ATMOS, V100, P1167, DOI 10.1029/94JD02746.
   Saji NH, 1999, NATURE, V401, P360, DOI 10.1038/43855.
   Saji NH, 2003, J CLIMATE, V16, P2735, DOI 10.1175/1520-0442(2003)016<2735:SOSASW>2.0.CO;2.
   Schott FA, 2001, PROG OCEANOGR, V51, P1, DOI 10.1016/S0079-6611(01)00083-0.
   Scott JD, 1999, J PHYS OCEANOGR, V29, P3167, DOI 10.1175/1520-0485(1999)029<3167:NSFOTO>2.0.CO;2.
   Shinoda T, 2004, J CLIMATE, V17, P362, DOI 10.1175/1520-0442(2004)017<0362:RROTIO>2.0.CO;2.
   Tanimoto Y, 2003, J GEOPHYS RES-OCEANS, V108, DOI 10.1029/2002JC001750.
   TING MF, 1993, J ATMOS SCI, V50, P2845, DOI 10.1175/1520-0469(1993)050<2845:ADAMSO>2.0.CO;2.
   Ting MF, 1997, J CLIMATE, V10, P1853, DOI 10.1175/1520-0442(1997)010<1853:SUSPVA>2.0.CO;2.
   Trenberth KE, 1998, J GEOPHYS RES-OCEANS, V103, P14291, DOI 10.1029/97JC01444.
   TRENBERTH KE, 1992, J CLIMATE, V5, P159, DOI 10.1175/1520-0442(1992)005<0159:IIECOT>2.0.CO;2.
   TRENBERTH KE, 1988, SCIENCE, V242, P1640, DOI 10.1126/science.242.4886.1640.
   Venzke S, 2000, J CLIMATE, V13, P1371, DOI 10.1175/1520-0442(2000)013<1371:TCGE>2.0.CO;2.
   Wang B, 2000, J CLIMATE, V13, P1517, DOI 10.1175/1520-0442(2000)013<1517:PEATHD>2.0.CO;2.
   Wang B, 2003, J CLIMATE, V16, P1195, DOI 10.1175/1520-0442(2003)16\<1195:AOIAII\>2.0.CO;2.
   Wang B, 2002, J CLIMATE, V15, P3252, DOI 10.1175/1520-0442(2002)015<3252:PEATPI>2.0.CO;2.
   Wang CZ, 2002, J CLIMATE, V15, P399, DOI 10.1175/1520-0442(2002)015<0399:ACCAWT>2.0.CO;2.
   Weaver CP, 1996, J CLIMATE, V9, P2093, DOI 10.1175/1520-0442(1996)009<2093:TLBSCR>2.0.CO;2.
   Webster PJ, 1999, NATURE, V401, P356, DOI 10.1038/43848.
   White WB, 1995, PROG OCEANOGR, V36, P169, DOI 10.1016/0079-6611(95)00017-8.
   Xie PP, 1997, B AM METEOROL SOC, V78, P2539, DOI 10.1175/1520-0477(1997)078<2539:GPAYMA>2.0.CO;2.
   Xie SP, 2002, J CLIMATE, V15, P864, DOI 10.1175/1520-0442(2002)015<0864:SAMOSI>2.0.CO;2.
   Yu LS, 1999, GEOPHYS RES LETT, V26, P735, DOI 10.1029/1999GL900072.
   Zhang Y, 1998, J CLIMATE, V11, P2473, DOI 10.1175/1520-0442(1998)011<2473:SOLSAO>2.0.CO;2.
   ZHANG YC, 1995, J GEOPHYS RES-ATMOS, V100, P1149, DOI 10.1029/94JD02747.
   ZHANG YC, 2004, NEW ISCCP GLOBAL RAD.}},
Number-of-Cited-References = {{85}},
Times-Cited = {{46}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{4}},
Doc-Delivery-Number = {{BBJ25}},
Unique-ID = {{ISI:000225756500005}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000225756500021,
Author = {Su, H and Neelin, JD and Meyerson, JE},
Editor = {{Wang, C and Xie, SP and Carton, JA}},
Title = {{Tropical tropospheric, temperature and precipitation response to sea
   surface temperature forcing}},
Booktitle = {{EARTH'S CLIMATE: THE OCEAN-ATMOSPHERE INTERACTION}},
Series = {{Geophysical Monograph Book Series}},
Year = {{2004}},
Volume = {{147}},
Pages = {{379-392}},
Note = {{Conference on Ocean-Atmosphere Interaction and Climate Variability, San
   Francisco, CA, DEC, 2002}},
Organization = {{Amer Geophys Union}},
Abstract = {{During an El Nino event, there are substantial tropospheric temperature
   anomalies across the tropics associated with sea surface temperature
   (SST) warming in the central and eastern Pacific. The typical spatial
   scale for teleconnection response of tropospheric temperature tends to
   be large. On the other hand, the precipitation response exhibits strong
   compensation between positive response over warm SST anomalies and a
   complex negative response remotely. The tropical spatial averages of
   tropospheric temperature and precipitation thus yield an interesting
   contrast in behavior. Anomalies of tropical averaged precipitation for
   3-month averages appear quite scattered in relation to tropical SST
   anomalies, while the tropical mean tropospheric temperature obeys an
   approximately linear relationship to SST. This different behavior of
   tropical mean precipitation and tropospheric temperature in relation to
   SST is examined in detail using observational data, GCM simulations and
   idealized experiments with the quasi-equilibrium tropical circulation
   model (QTCM). Theoretical understanding is provided through a simple
   analytical model, which suggests that the integral constraint on
   tropical average precipitation is dominated by dry static energy
   transport into or out of the tropics. Convection acts to keep
   tropospheric temperature in quasi-equilibrium (QE) with boundary layer
   moist static energy, which is in turn held toward SST by surface fluxes.
   To maintain QE, the tropical average convective heating (i.e.,
   precipitation) anomalies react to oppose any processes that tend to cool
   the tropical troposphere. Thus, while tropical average tropospheric
   temperature is closely related to SST, unrelated heating or cooling
   anomalies such as those due to the tropical-midlatitude transports can
   create large scatter in tropical average precipitation anomalies.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Proceedings Paper}},
Language = {{English}},
Affiliation = {{Su, H (Corresponding Author), Univ Calif Los Angeles, Dept Atmospher Sci, Los Angeles, CA 90095 USA.
   Univ Calif Los Angeles, Dept Atmospher Sci, Los Angeles, CA 90095 USA.}},
ISSN = {{0065-8448}},
ISBN = {{0-87590-412-2}},
Keywords-Plus = {{GLOBAL PRECIPITATION; HYDROLOGICAL CYCLE; CIRCULATION MODEL; ANOMALIES;
   ENSO; SENSITIVITY; PACIFIC; OCEAN}},
Research-Areas = {{Meteorology \& Atmospheric Sciences; Oceanography}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences; Oceanography}},
Author-Email = {{hui@atmos.ucla.edu
   neelin@atmos.ucla.edu
   hobo@atmos.ucla.edu}},
Cited-References = {{ANGELL JK, 1981, MON WEATHER REV, V109, P230, DOI 10.1175/1520-0493(1981)109<0230:COVIAQ>2.0.CO;2.
   ARAKAWA A, 1974, J ATMOS SCI, V31, P674, DOI 10.1175/1520-0469(1974)031<0674:IOACCE>2.0.CO;2.
   BACMEISTER J, 2000, NASATM2000104505, V17.
   Bretherton CS, 2004, J CLIMATE, V17, P1517, DOI 10.1175/1520-0442(2004)017<1517:RBWVPA>2.0.CO;2.
   Dai A, 2001, J CLIMATE, V14, P485, DOI 10.1175/1520-0442(2001)014<0485:COTTAT>2.0.CO;2.
   EMANUEL KA, 1994, Q J ROY METEOR SOC, V120, P1111, DOI 10.1256/smsqj.51901.
   GILL AE, 1980, Q J ROY METEOR SOC, V106, P447, DOI 10.1256/smsqj.44904.
   Holton J.R., 1992, INTRO DYNAMIC METEOR.
   HOREL JD, 1981, MON WEATHER REV, V109, P813, DOI 10.1175/1520-0493(1981)109<0813:PSAPAW>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.
   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.
   Kumar A, 2003, J CLIMATE, V16, P1391, DOI 10.1175/1520-0442-16.9.1391.
   MITCHELL JFB, 1987, Q J ROY METEOR SOC, V113, P293, DOI 10.1256/smsqj.47516.
   Neelin JD, 2000, J ATMOS SCI, V57, P1741, DOI 10.1175/1520-0469(2000)057<1741:AQETCM>2.0.CO;2.
   NEWELL RE, 1976, NATURE, V262, P40, DOI 10.1038/262040a0.
   PAN YH, 1983, MON WEATHER REV, V111, P1244, DOI 10.1175/1520-0493(1983)111<1244:GCVCWS>2.0.CO;2.
   PEGION PJ, 2000, NASATM2000104505, V18.
   REYNOLDS RW, 1994, J CLIMATE, V7, P929, DOI 10.1175/1520-0442(1994)007<0929:IGSSTA>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.
   Sobel AH, 2004, MON WEATHER REV, V132, P422, DOI 10.1175/1520-0493(2004)132<0422:LMADCD>2.0.CO;2.
   Sobel AH, 2002, J CLIMATE, V15, P2702, DOI 10.1175/1520-0442(2002)015<2702:TESITT>2.0.CO;2.
   Soden BJ, 2000, J CLIMATE, V13, P538, DOI 10.1175/1520-0442(2000)013<0538:TSOTTH>2.0.CO;2.
   SPENCER RW, 1992, J CLIMATE, V5, P858, DOI 10.1175/1520-0442(1992)005<0858:PARVOS>2.0.CO;2.
   SPENCER RW, 1993, J CLIMATE, V6, P1301, DOI 10.1175/1520-0442(1993)006<1301:GOPFTM>2.0.CO;2.
   Su H, 2003, J CLIMATE, V16, P3966, DOI 10.1175/1520-0442(2003)016\<3966:TSITAP\>2.0.CO;2.
   Su H, 2003, J CLIMATE, V16, P1283, DOI 10.1175/1520-0442-16.9.1283.
   Su H, 2002, J ATMOS SCI, V59, P2694, DOI 10.1175/1520-0469(2002)059<2694:TMFTPD>2.0.CO;2.
   Su H, 2001, J GEOPHYS RES-ATMOS, V106, P20025, DOI 10.1029/2000JD000124.
   SUN DZ, 1995, J CLIMATE, V8, P1974, DOI 10.1175/1520-0442(1995)008<1974:HRITTT>2.0.CO;2.
   Trenberth KE, 1998, CLIM DYNAM, V14, P213, DOI 10.1007/s003820050219.
   Wallace JM, 1998, J GEOPHYS RES-OCEANS, V103, P14241, DOI 10.1029/97JC02905.
   Xie PP, 1997, B AM METEOROL SOC, V78, P2539, DOI 10.1175/1520-0477(1997)078<2539:GPAYMA>2.0.CO;2.
   YULAEVA E, 1994, J CLIMATE, V7, P1719, DOI 10.1175/1520-0442(1994)007<1719:TSOEIG>2.0.CO;2.
   Zeng N, 2000, J ATMOS SCI, V57, P1767, DOI 10.1175/1520-0469(2000)057<1767:AQETCM>2.0.CO;2.}},
Number-of-Cited-References = {{35}},
Times-Cited = {{

license_type: permissive

branch_name: refs/heads/master

extension: bib