text:
HEIGHT; CLIMATE-CHANGE;
   TELECONNECTIONS; VARIABILITY; PESTICIDES; SEVERITY; PATTERNS; WINTER;
   FIELD}},
Research-Areas = {{Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Environmental Sciences}},
ORCID-Numbers = {{Jantunen, Liisa/0000-0003-0261-9539}},
Cited-References = {{Assel RA, 1998, GEOPHYS RES LETT, V25, P1031, DOI 10.1029/98GL00720.
   Bailey RE, 2001, CHEMOSPHERE, V43, P167, DOI 10.1016/S0045-6535(00)00186-7.
   BAILEY RE, 2001, HEXACHLOROBENZENE CO.
   BARRIE LA, 1992, SCI TOTAL ENVIRON, V122, P1, DOI 10.1016/0048-9697(92)90245-N.
   CARPENTER C, 1986, 560586019 USEPA.
   Cohen M, 1995, QUANTITATIVE ESTIMAT.
   Cortes DR, 2000, ENVIRON SCI TECHNOL, V34, P2826, DOI 10.1021/es990466l.
   Cortes DR, 1998, ENVIRON SCI TECHNOL, V32, P1920, DOI 10.1021/es970955q.
   Diaz HF, 2001, INT J CLIMATOL, V21, P1845, DOI 10.1002/joc.631.
   HALPERT MS, 1992, J CLIMATE, V5, P577, DOI 10.1175/1520-0442(1992)005<0577:STPAWT>2.0.CO;2.
   Halsall CJ, 1998, ENVIRON POLLUT, V102, P51, DOI 10.1016/S0269-7491(98)00074-8.
   McKone TE, 1996, RISK ANAL, V16, P377, DOI 10.1111/j.1539-6924.1996.tb01472.x.
   Rodionov S, 2000, ATMOS OCEAN, V38, P601, DOI 10.1080/07055900.2000.9649661.
   Shabbar A, 1996, ATMOS OCEAN, V34, P401, DOI 10.1080/07055900.1996.9649570.
   SHATALOV V, 2001, 4 EMEP.
   WALLACE JM, 1993, J CLIMATE, V6, P2063, DOI 10.1175/1520-0442(1993)006<2063:SASOIA>2.0.CO;2.
   WALLACE JM, 1981, MON WEATHER REV, V109, P784, DOI 10.1175/1520-0493(1981)109<0784:TITGHF>2.0.CO;2.}},
Number-of-Cited-References = {{17}},
Times-Cited = {{19}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{5}},
Journal-ISO = {{Sci. Total Environ.}},
Doc-Delivery-Number = {{714TH}},
Unique-ID = {{ISI:000184929200014}},
DA = {{2020-08-06}},
}

@article{ ISI:000184998500004,
Author = {Gong, G and Entekhabi, D and Cohen, J},
Title = {{Relative impacts of Siberian and north American snow anomalies on the
   winter Arctic Oscillation}},
Journal = {{GEOPHYSICAL RESEARCH LETTERS}},
Year = {{2003}},
Volume = {{30}},
Number = {{16}},
Month = {{AUG 22}},
Abstract = {{Numerical model mean climatic response to realistic land surface snow
   forcings is evaluated for two different forcing regions, Siberia and
   North America. The atmospheric teleconnection pathway and negative
   winter AO mode response produced by the Siberia forcing, described by
   the authors in previous studies, is not produced by the
   comparable-extent North America forcing. It is shown that the
   combination of a large snow-forced local diabatic heating anomaly over a
   region of substantial stationary wave activity is required to produce
   strong upward wave activity flux anomalies which initiate the
   teleconnection pathway. These features are unique to Siberia, making it
   a critical region for reproducing the snow - winter AO statistical
   relationship evident in the observational record.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Cohen, J (Corresponding Author), MIT, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
   MIT, Cambridge, MA 02139 USA.
   Atmospher \& Environm Res Inc, Lexington, MA USA.}},
DOI = {{10.1029/2003GL017749}},
Article-Number = {{1848}},
ISSN = {{0094-8276}},
EISSN = {{1944-8007}},
Keywords-Plus = {{COVER; VARIABILITY}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary}},
Author-Email = {{jcohen@aer.com}},
Cited-References = {{Bamzai AS, 1999, J CLIMATE, V12, P3117, DOI 10.1175/1520-0442(1999)012<3117:RBESCS>2.0.CO;2.
   Bojariu R, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2002GL015651.
   Cohen J, 1999, GEOPHYS RES LETT, V26, P345, DOI 10.1029/1998GL900321.
   Cohen J, 2001, ATMOS OCEAN, V39, P35, DOI 10.1080/07055900.2001.9649665.
   Cohen J., 1994, Weather, V49, P150.
   Gong G, 2002, J CLIMATE, V15, P3488, DOI 10.1175/1520-0442(2002)015\<3488:ALEMSO\>2.0.CO;2.
   GONG G, 2003, IN PRESS J CLIM.
   PLUMB RA, 1985, J ATMOS SCI, V42, P217, DOI 10.1175/1520-0469(1985)042<0217:OTTDPO>2.0.CO;2.
   ROBINSON DA, 1993, B AM METEOROL SOC, V74, P1689, DOI 10.1175/1520-0477(1993)074<1689:GSCMAU>2.0.CO;2.
   ROECKNER E, 1992, 93 M PLANCK I MET.
   Saito K, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2002GL016341.
   Saunders MA, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2002GL016832.
   Watanabe M, 1998, J CLIMATE, V11, P2837, DOI 10.1175/1520-0442(1998)011<2837:RIOSAS>2.0.CO;2.}},
Number-of-Cited-References = {{13}},
Times-Cited = {{39}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{2}},
Journal-ISO = {{Geophys. Res. Lett.}},
Doc-Delivery-Number = {{715XC}},
Unique-ID = {{ISI:000184998500004}},
DA = {{2020-08-06}},
}

@article{ ISI:000184998900001,
Author = {Gong, DY and Ho, CH},
Title = {{Detection of large-scale climate signals in spring vegetation index
   (normalized difference vegetation index) over the Northern Hemisphere}},
Journal = {{JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES}},
Year = {{2003}},
Volume = {{108}},
Number = {{D16}},
Month = {{AUG 20}},
Abstract = {{Climate is one of the determinants driving ecosystems on both local and
   global scales. During the last two decades, there has occurred a
   dramatic temperature increase in the northern midlatitudes to high
   latitudes. The rapid warming has resulted in the promotion of
   bioactivity and an early growing season. However, the temperature and
   vegetation changes are not uniform in geographical distribution. In the
   present study, we analyze the spatial features in the normalized
   difference vegetation index (NDVI)-temperature relationship over Eurasia
   and North America in spring for the period 1982-2000. The NDVI data are
   derived from the Earth Observing System Pathfinder advanced very high
   resolution radiometer data sets. A singular value decomposition analysis
   is applied to the covariance matrix of the NDVI and temperature. Most of
   the squared covariance, 91.6\%, is captured by the first seven paired
   modes. The result clearly indicates that the temperature is a focal
   factor influencing vegetation activity. Furthermore, those seven paired
   modes show large-scale features and well-defined patterns. The
   atmospheric circulation systems, such as the Southern Oscillation, North
   Atlantic Oscillation/Arctic Oscillation, Pacific/North American pattern,
   Eurasian pattern, western Pacific pattern, western Atlantic pattern,
   eastern Atlantic pattern, and North Pacific index, are found to be
   associated with that. The time coefficient corresponding to the first
   paired modes, centered on western Siberia, is correlated significantly
   with the Eurasian teleconnection pattern. Their correlation coefficients
   are 0.72 and 0.78 for vegetation and temperature, respectively, for the
   data period. Other modes are also correlated with one or more
   circulation indices. This implies that the large-scale circulation is
   essential for understanding the regional response of vegetation to
   global climate change. Taking all nine circulation indices and time lags
   into account, a large portion (71\%) of the satellite-sensed variance in
   NDVI could be explained. The temperature-NDVI relationships did not
   change significantly when the NDVI was rescaled from 1 to 5 degrees,
   indicating that the singular value decomposition analysis is an
   appropriate technique for detecting the degree of coupling between
   vegetation and climate and that the vegetation-temperature relationship
   presented in this study is robust.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Gong, DY (Corresponding Author), Beijing Normal Univ, Key Lab Environm Change \& Nat Disaster, Inst Resources Sci, Beijing 100875, Peoples R China.
   Beijing Normal Univ, Key Lab Environm Change \& Nat Disaster, Inst Resources Sci, Beijing 100875, Peoples R China.
   Seoul Natl Univ, Sch Earth \& Environm Sci, Seoul 151742, South Korea.}},
DOI = {{10.1029/2002JD002300}},
Article-Number = {{4498}},
ISSN = {{2169-897X}},
EISSN = {{2169-8996}},
Keywords = {{normalized difference vegetation index; climate impact; atmospheric
   circulation; teleconnection; vegetation change}},
Keywords-Plus = {{SEA-SURFACE TEMPERATURE; SOUTHERN-OSCILLATION; EL-NINO; INTERANNUAL
   VARIATIONS; AIR-TEMPERATURE; PRECIPITATION; PATTERNS; TRENDS; NDVI; ENSO}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{gdy@pku.edu.cn
   hoch@cpl.snu.ac.kr}},
ResearcherID-Numbers = {{Ho, Chang-Hoi/H-8354-2015}},
Cited-References = {{AGBU PA, 1994, NOAA NASA PATHFINDER.
   Anyamba A, 2001, INT J REMOTE SENS, V22, P1847.
   Barber VA, 2000, NATURE, V405, P668, DOI 10.1038/35015049.
   Bogaert J, 2002, J GEOPHYS RES-ATMOS, V107, DOI 10.1029/2001JD001075.
   BRETHERTON CS, 1992, J CLIMATE, V5, P541, DOI 10.1175/1520-0442(1992)005<0541:AIOMFF>2.0.CO;2.
   GLANTZ M, 1991, TELECONNECTIONS LINK.
   Gong DY, 2002, THEOR APPL CLIMATOL, V72, P1, DOI 10.1007/s007040200008.
   GONG DY, 1999, ACTA GEOGRAPHICA SIN, V54, P125.
   Gutman G, 2000, B AM METEOROL SOC, V81, P1189, DOI 10.1175/1520-0477(2000)081<1189:UNPTME>2.3.CO;2.
   Houghton J. T., 2001, CLIMATE CHANGE 2001.
   Hurrell JW, 1996, GEOPHYS RES LETT, V23, P665, DOI 10.1029/96GL00459.
   HURRELL JW, 1995, SCIENCE, V269, P676, DOI 10.1126/science.269.5224.676.
   JAMES ME, 1994, INT J REMOTE SENS, V15, P3347, DOI 10.1080/01431169408954335.
   JONES PD, 1994, J CLIMATE, V7, P1794, DOI 10.1175/1520-0442(1994)007<1794:HSATVA>2.0.CO;2.
   Kawabata A, 2001, INT J REMOTE SENS, V22, P1377, DOI 10.1080/01431160119381.
   Keeling CD, 1996, NATURE, V382, P146, DOI 10.1038/382146a0.
   Kogan FN, 2000, REMOTE SENS ENVIRON, V74, P445, DOI 10.1016/S0034-4257(00)00137-1.
   Kogan FN, 2001, B AM METEOROL SOC, V82, P1949, DOI 10.1175/1520-0477(2001)082<1949:OSTFGV>2.3.CO;2.
   Li ZT, 2000, REMOTE SENS ENVIRON, V71, P239, DOI 10.1016/S0034-4257(99)00034-6.
   LOS SO, 1993, INT J REMOTE SENS, V14, P1907, DOI 10.1080/01431169308954011.
   Los SO, 2001, J CLIMATE, V14, P1535, DOI 10.1175/1520-0442(2001)014<1535:GIVISS>2.0.CO;2.
   Los SO, 1998, IEEE T GEOSCI REMOTE, V36, P206, DOI 10.1109/36.655330.
   Mennis J, 2001, INT J REMOTE SENS, V22, P3077, DOI 10.1080/01431160152558251.
   Myneni RB, 1996, GEOPHYS RES LETT, V23, P729, DOI 10.1029/96GL00266.
   Myneni RB, 1998, J GEOPHYS RES-ATMOS, V103, P6145, DOI 10.1029/97JD03603.
   Myneni RB, 2001, P NATL ACAD SCI USA, V98, P14784, DOI 10.1073/pnas.261555198.
   ROPELEWSKI CF, 1987, MON WEATHER REV, V115, P1606, DOI 10.1175/1520-0493(1987)115<1606:GARSPP>2.0.CO;2.
   Ropelewski CF, 1996, J CLIMATE, V9, P1043, DOI 10.1175/1520-0442(1996)009<1043:QSOPR>2.0.CO;2.
   Suzuki R, 2000, INT J CLIMATOL, V20, P955, DOI 10.1002/1097-0088(200007)20:9\<955::AID-JOC512\>3.0.CO;2-1.
   TANS PP, 1990, SCIENCE, V247, P1431, DOI 10.1126/science.247.4949.1431.
   Thompson DWJ, 2000, J CLIMATE, V13, P1018, DOI 10.1175/1520-0442(2000)013<1018:AMITEC>2.0.CO;2.
   Thompson DWJ, 1998, GEOPHYS RES LETT, V25, P1297, DOI 10.1029/98GL00950.
   TRENBERTH KE, 1994, CLIM DYNAM, V9, P303, DOI 10.1007/BF00204745.
   TUCKER CJ, 1986, INT J REMOTE SENS, V7, P1395, DOI 10.1080/01431168608948944.
   Tucker CJ, 2001, INT J BIOMETEOROL, V45, P184, DOI 10.1007/s00484-001-0109-8.
   WALLACE JM, 1992, J CLIMATE, V5, P561, DOI 10.1175/1520-0442(1992)005<0561:SVDOWS>2.0.CO;2.
   WALLACE JM, 1981, MON WEA REV, V109, P84.
   Wang HJ, 1999, P NATL ACAD SCI USA, V96, P11071, DOI 10.1073/pnas.96.20.11071.
   Zhou LM, 2001, J GEOPHYS RES-ATMOS, V106, P20069, DOI 10.1029/2000JD000115.}},
Number-of-Cited-References = {{39}},
Times-Cited = {{16}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{23}},
Journal-ISO = {{J. Geophys. Res.-Atmos.}},
Doc-Delivery-Number = {{715XF}},
Unique-ID = {{ISI:000184998900001}},
DA = {{2020-08-06}},
}

@article{ ISI:000184869200001,
Author = {Xie, SP and Xie, Q and Wang, DX and Liu, WT},
Title = {{Summer upwelling in the South China Sea and its role in regional climate
   variations}},
Journal = {{JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS}},
Year = {{2003}},
Volume = {{108}},
Number = {{C8}},
Month = {{AUG 14}},
Abstract = {{Seasonal and interannual variations of summer upwelling off the South
   Vietnam coast and the offshore spread of cold water are investigated
   using a suite of new satellite measurements. In summer, as the
   southwesterly winds impinge on Annam Cordillera (a north-south running
   mountain range on the east coast of Indochina) a strong wind jet occurs
   at its southern tip offshore east of Saigon, resulting in strong wind
   curls that are important for ocean upwelling off the coast. In July and
   August an anticyclonic ocean eddy develops to the southeast, advecting
   the cold coastal water offshore into the open South China Sea (SCS). The
   center of this cold filament is located consistently north of the wind
   speed maximum, indicating that open-ocean upwelling helps to cool the
   ocean surface. Corroborating evidence for the cold filament is found in
   ocean color observations that reveal a collocated tongue of high
   chlorophyll concentration. The development of this cold filament
   disrupts the summer warming of the SCS and causes a pronounced
   semiannual cycle in SST. Moreover, the cold filament is an important
   player in interannual variability in the summer SCS. In 1998, the cold
   filament and mid-summer cooling never took place, giving rise to a
   strong basin-wide surface warming. Interannual SST variance has a local
   maximum over the climatological cold filament, and is much greater than
   the variance over the adjacent Indian and western Pacific Oceans. A cold
   filament index is constructed, which displays significant lagged
   correlation with SST in the eastern equatorial Pacific and Indian
   Oceans, indicative of a teleconnection from El Nino.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Xie, SP (Corresponding Author), Univ Hawaii, SOEST, Int Pacific Res Ctr, Honolulu, HI 96822 USA.
   Univ Hawaii, SOEST, Int Pacific Res Ctr, Honolulu, HI 96822 USA.
   Univ Hawaii, Dept Meteorol, Honolulu, HI 96822 USA.
   Chinese Acad Sci, S China Sea Inst Oceanol, LED, Guangzhou 510301, Peoples R China.
   CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA.}},
DOI = {{10.1029/2003JC001867}},
Article-Number = {{3261}},
ISSN = {{2169-9275}},
EISSN = {{2169-9291}},
Keywords = {{upwelling; air-sea interaction; orographically induced wind jet; ocean
   stationary eddy; South China Sea; climate variability}},
Keywords-Plus = {{UPPER-LAYER CIRCULATION; SURFACE TEMPERATURE; OCEAN CIRCULATION;
   INDIAN-OCEAN; TROPICAL PACIFIC; ALTIMETER DATA; SATELLITE;
   TOPEX/POSEIDON; MONSOON; DYNAMICS}},
Research-Areas = {{Oceanography}},
Web-of-Science-Categories  = {{Oceanography}},
Author-Email = {{xie@hawaii.edu
   gordonxie@scsio.ac.cn
   dxwang@scsio.ac.cn
   liu@pacific.jpl.nasa.gov}},
ResearcherID-Numbers = {{Xie, Shang-Ping/C-1254-2009
   WANG, DongXiao/B-4445-2012}},
ORCID-Numbers = {{Xie, Shang-Ping/0000-0002-3676-1325
   WANG, DongXiao/0000-0001-8778-2188}},
Cited-References = {{Annamalai H, 2003, DEEP-SEA RES PT II, V50, P2305, DOI 10.1016/S0967-0645(03)00058-4.
   Armstrong EM, 2001, GEOPHYS RES LETT, V28, P4199, DOI 10.1029/2001GL013316.
   Chelton D. B. D. B., 2001, SATELLITE ALTIMETRY, V1, P1, DOI DOI 10.1016/S0074-6142(01)80146-7.
   Chelton DB, 2001, J CLIMATE, V14, P1479, DOI 10.1175/1520-0442(2001)014<1479:OOCBSW>2.0.CO;2.
   Chu PC, 1998, J GEOPHYS RES-OCEANS, V103, P21637, DOI 10.1029/98JC02096.
   Ducet N, 2000, J GEOPHYS RES-OCEANS, V105, P19477, DOI 10.1029/2000JC900063.
   Fang WD, 2002, J GEOPHYS RES-OCEANS, V107, DOI 10.1029/2002JC001343.
   Hashizume H, 2001, J GEOPHYS RES-ATMOS, V106, P10173, DOI 10.1029/2000JD900684.
   Ho CR, 2000, J GEOPHYS RES-OCEANS, V105, P13981, DOI 10.1029/2000JC900001.
   Ho CR, 2000, REMOTE SENS ENVIRON, V71, P320, DOI 10.1016/S0034-4257(99)00094-2.
   HUANG QZ, 1994, OCEANOLOGY CHINA SEA, P39, DOI DOI 10.1007/978-94-011-0862-1\_5.
   Hwang C, 2000, J GEOPHYS RES-OCEANS, V105, P23943, DOI 10.1029/2000JC900092.
   Kalnay E, 1996, B AM METEOROL SOC, V77, P437, DOI 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2.
   Kessler WS, 2002, J PHYS OCEANOGR, V32, P2457, DOI 10.1175/1520-0485-32.9.2457.
   Kuo NJ, 2000, REMOTE SENS ENVIRON, V74, P463, DOI 10.1016/S0034-4257(00)00138-3.
   Lau KM, 2000, B AM METEOROL SOC, V81, P1261, DOI 10.1175/1520-0477(2000)081<1261:AROTFO>2.3.CO;2.
   Lau KM, 1998, B AM METEOROL SOC, V79, P1871, DOI 10.1175/1520-0477(1998)079<1871:HPAWTF>2.0.CO;2.
   Liu WT, 2000, GEOPHYS RES LETT, V27, P2545.
   Liu WT, 1999, GEOPHYS RES LETT, V26, P1473, DOI 10.1029/1999GL900289.
   NITTA T, 1987, J METEOROL SOC JPN, V65, P373, DOI 10.2151/jmsj1965.65.3\_373.
   Nonaka M, 2003, J CLIMATE, V16, P1404, DOI 10.1175/1520-0442(2003)16<1404:COSSTA>2.0.CO;2.
   Ose T, 1997, J METEOROL SOC JPN, V75, P1091, DOI 10.2151/jmsj1965.75.6\_1091.
   Pohlmann T., 1987, 3 DIMENSIONAL MODELS, P245.
   Qu TD, 2001, J GEOPHYS RES-OCEANS, V106, P6943, DOI 10.1029/2000JC000479.
   Qu TD, 2000, J PHYS OCEANOGR, V30, P1450, DOI 10.1175/1520-0485(2000)030<1450:ULCITS>2.0.CO;2.
   REYNOLDS RW, 1994, J CLIMATE, V7, P929, DOI 10.1175/1520-0442(1994)007<0929:IGSSTA>2.0.CO;2.
   Schott FA, 2001, PROG OCEANOGR, V51, P1, DOI 10.1016/S0079-6611(01)00083-0.
   SHAW PT, 1994, DEEP-SEA RES PT I, V41, P1663, DOI 10.1016/0967-0637(94)90067-1.
   Wang B, 2000, J CLIMATE, V13, P1517, DOI 10.1175/1520-0442(2000)013<1517:PEATHD>2.0.CO;2.
   Wang DX, 2002, CHINESE SCI BULL, V47, P1221, DOI 10.1007/BF02907614.
   WANG W, 2000, ACTA OCEANOL SIN, V22, P8.
   Wei ZX, 2003, SCI CHINA SER D, V46, P139, DOI 10.1360/03yd9013.
   Wentz FJ, 2000, SCIENCE, V288, P847, DOI 10.1126/science.288.5467.847.
   Wyrtki K, 1961, PHYSICAL OCEANOGRAPH, V2, P195.
   Xie PP, 1996, J CLIMATE, V9, P840, DOI 10.1175/1520-0442(1996)009<0840:AOGMPU>2.0.CO;2.
   XIE Q, 2002, ACTA OCEANOL SIN, V21, P263.
   Xie SP, 1998, GEOPHYS RES LETT, V25, P3863, DOI 10.1029/1998GL900014.
   Xie SP, 2001, SCIENCE, V292, P2057, DOI 10.1126/science.1059781.
   Xie SP, 2002, J CLIMATE, V15, P864, DOI 10.1175/1520-0442(2002)015<0864:SAMOSI>2.0.CO;2.
   XU X, 1982, P S CHIN SOC MAR HYD, P119.
   Yang HJ, 2002, J GEOPHYS RES-OCEANS, V107, DOI 10.1029/2001JC001084.}},
Number-of-Cited-References = {{41}},
Times-Cited = {{338}},
Usage-Count-Last-180-days = {{5}},
Usage-Count-Since-2013 = {{103}},
Journal-ISO = {{J. Geophys. Res.-Oceans}},
Doc-Delivery-Number = {{713QJ}},
Unique-ID = {{ISI:000184869200001}},
OA = {{Green Published}},
DA = {{2020-08-06}},
}

@article{ ISI:000184319800005,
Author = {Cleaveland, MK and Stahle, DW and Therrell, MD and Villanueva-Diaz, J
   and Burns, BT},
Title = {{Tree-ring reconstructed winter precipitation and tropical
   teleconnections in Durango, Mexico}},
Journal = {{CLIMATIC CHANGE}},
Year = {{2003}},
Volume = {{59}},
Number = {{3}},
Pages = {{369-388}},
Month = {{AUG}},
Abstract = {{Earlywood width chronologies from Douglas-fir tree rings were used to
   reconstruct winter ( November - March) precipitation for more than 600
   years over Durango, Mexico. The tree-ring data were obtained from two
   sites of long-lived Douglas-fir in northern and southern Durango and the
   seasonal climatic precipitation data were regionally averaged from five
   weather stations well distributed across the state. The averaged
   earlywood chronology accounted for 56\% of the variance in instrumental
   November - March precipitation 1942 - 1983. We validated the
   reconstruction against independent precipitation records. The worst
   winter drought of the 20th century in Durango occurred 1950 - 1965.
   However, the reconstruction indicates droughts more severe than any
   witnessed in the 20th century, e. g., the 1850s - 1860s, and the
   megadrought in the mid- to late-16th century. Reconstructed winter
   precipitation 1540 - 1579 shows 33 of 40 years were dry. Persistent
   drought may be linked to extended La Nina episodes. The Tropical
   Rainfall Index (TRI) correlates well with instrumental and reconstructed
   winter precipitation (r = 0.49 and 0.55, respectively), reflecting the
   strong ENSO modulation of cool season climate over northern Mexico. The
   ENSO teleconnection varies through time, with TRI-reconstructed
   precipitation correlations ranging from 0.78 to 0.27 in five periods
   1895 - 1993. The 1942 - 1983 winter observed and reconstructed Durango
   data correlate well with the corresponding seasonalization of the
   All-Mexico Rainfall Index (AMRI; r = 0.68, P < 0.0001 and r = 0.70, P <
   0.001, respectively), indicating that both the observed and the
   reconstructed precipitation often reflect broad-scale precipitation
   anomalies across Mexico. New long Douglas-fir and baldcypress tree-ring
   chronologies are now available for central and southern Mexico near
   major population centers, allowing the exploration of relationships
   between drought, food scarcity, and social and political upheaval in
   Mexican history.}},
Publisher = {{KLUWER ACADEMIC PUBL}},
Address = {{VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Cleaveland, MK (Corresponding Author), Univ Arkansas, Dept Geosci, Tree Ring Lab, Fayetteville, AR 72701 USA.
   Univ Arkansas, Dept Geosci, Tree Ring Lab, Fayetteville, AR 72701 USA.
   INIFAP, San Luis Potosi 78270, SLP, Mexico.
   Native Seed Search, Tucson, AZ 85705 USA.}},
DOI = {{10.1023/A:1024835630188}},
ISSN = {{0165-0009}},
Keywords-Plus = {{WESTERN NORTH-AMERICA; SOUTHERN OSCILLATION; CLIMATE VARIABILITY;
   PACIFIC; CORAL}},
Research-Areas = {{Environmental Sciences \& Ecology; Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Environmental Sciences; Meteorology \& Atmospheric Sciences}},
ResearcherID-Numbers = {{Therrell, Matthew/N-8487-2016}},
ORCID-Numbers = {{Therrell, Matthew/0000-0002-9174-6005}},
Cited-References = {{AKAIKE H, 1974, IEEE T AUTOMAT CONTR, VAC19, P716, DOI 10.1109/TAC.1974.1100705.
   ALLAN RJ, 1996, ELNINO SO OSCILLATIO.
   Bell GD, 1999, B AM METEOROL SOC, V80, pS1.
   BOX GEP, 1994, TIME SERIES ANAL.
   Cayan DR, 1998, J CLIMATE, V11, P3148, DOI 10.1175/1520-0442(1998)011<3148:DVOPOW>2.0.CO;2.
   CLEAVELAND M K, 1986, Tree-Ring Bulletin, V46, P13.
   CLEAVELAND MK, 1992, EL NINO HIST PALEOCL, P271.
   CLEAVER JE, 1988, PHOTOCHEM PHOTOBIOL, V48, P41.
   Cole JE, 1998, GEOPHYS RES LETT, V25, P4529, DOI 10.1029/1998GL900145.
   COLE JE, 1993, SCIENCE, V260, P1790, DOI 10.1126/science.260.5115.1790.
   COLE JE, 2002, GEOPHYS RES LETT, V29.
   COLE JE, 1993, WORLD DATA CTR A PAL.
   Conde C, 1997, CLIMATE RES, V9, P17, DOI 10.3354/cr009017.
   COOK E R, 1987, Tree-Ring Bulletin, V47, P37.
   Cook E. R., 1981, Tree-Ring Bulletin, V41, P45.
   Cook E. R., 1985, THESIS U ARIZONA TUC.
   Dettinger MD, 1998, J CLIMATE, V11, P3095, DOI 10.1175/1520-0442(1998)011<3095:NSPPIW>2.0.CO;2.
   Draper N., 1981, APPL REGRESSION ANAL.
   DREW LGM, 1975, TREE RING CHRONOLO 1, V6.
   ENFIELD DB, 1991, J CLIMATE, V4, P1137, DOI 10.1175/1520-0442(1991)004<1137:LFCIEN>2.0.CO;2.
   ENGLEHART PJ, 2000, GEOGRAPHICAL ENV MOD, V4, P65.
   FLORESCANO E, 1995, BREVE HIST SEQUIA ME.
   Fritts HC, 2001, TREE RINGS CLIMATE.
   Fritts HC, 1991, RECONSTRUCTING LARGE.
   FYE FK, IN PRESS B AM METEOR.
   GRIFFITH JF, 1981, 100 YEARS TEXAS WEAT.
   Hermann R.K., 1990, AGR HDB USDA, V654.
   Higgins RW, 1999, J CLIMATE, V12, P653, DOI 10.1175/1520-0442(1999)012<0653:IVOTNA>2.0.CO;2.
   HODELL DA, 1995, NATURE, V375, P391, DOI 10.1038/375391a0.
   HOLMES R L, 1983, Tree-Ring Bulletin, V43, P69.
   JENKINS GM, 1968, SPECTRAL ANAL ITS AP.
   Kaplan A, 1998, J GEOPHYS RES-OCEANS, V103, P18567, DOI 10.1029/97JC01736.
   Ladurie E. L. R., 1971, TIMES FEAST TIMES FA.
   MAGANA VO, 1999, IMPACTOS ELNINO MEXI.
   Mantua NJ, 1997, B AM METEOROL SOC, V78, P1069, DOI 10.1175/1520-0477(1997)078<1069:APICOW>2.0.CO;2.
   Martinez M, 1963, PINACEAS MEXICANAS.
   MEKO D, 1981, THESIS U ARIZONA TUC.
   Minobe S, 1997, GEOPHYS RES LETT, V24, P683, DOI 10.1029/97GL00504.
   MORALES LE, 1995, PRECIOS ALIMENTOS MA, P122.
   Mosteller F., 1977, DATA ANAL REGRESSION.
   Nakamura H, 1997, B AM METEOROL SOC, V78, P2215, DOI 10.1175/1520-0477(1997)078<2215:DCVITN>2.0.CO;2.
   Naylor T. H., 1986, PRESIDIO MILITIA NO.
   OHara SL, 1995, HOLOCENE, V5, P485, DOI 10.1177/095968369500500412.
   PANSHIN AJ, 1970, TXB WOOD TECHNOLOGY, V1.
   PYKE CB, 1972, SOME METEOROLOGICAL.
   Rasmusson EM, 1990, J MARINE SYST, V1, P71, DOI 10.1016/0924-7963(90)90153-2.
   ROPELEWSKI CF, 1989, J CLIMATE, V1, P172.
   Schneider U, 1989, ATMOSFERA, V2, P167.
   Shiyatov S, 1990, METHODS DENDROCHRONO, P133.
   Simpson L. B., 1966, MANY MEXICOS.
   SNEE RD, 1977, TECHNOMETRICS, V19, P415, DOI 10.2307/1267881.
   STAHLE DW, 1993, J CLIMATE, V6, P129, DOI 10.1175/1520-0442(1993)006<0129:SOERFT>2.0.CO;2.
   Stahle DW, 1998, B AM METEOROL SOC, V79, P2137, DOI 10.1175/1520-0477(1998)079<2137:EDROTS>2.0.CO;2.
   STAHLE DW, 2000, EOS, V81, P121, DOI DOI 10.1029/00EO00076.
   STAHLE DW, 2000, DENDROCRONOLOGIA AM, P285.
   Steel R. G. D., 1980, PRINCIPLES PROCEDURE.
   Stokes M.A., 1996, INTRO TREE RING DATI.
   THERRELL MD, 2002, J GEOPHYS RES, V107.
   Urban FE, 2000, NATURE, V407, P989, DOI 10.1038/35039597.
   URBAN FE, 2000, WORLD DATA CTR PALEO.
   Velasco I. Velasco, 1999, DROUGHT NETWORK NEWS, V11, P3.
   VOSE RS, 1992, ENV SCI DIV PUB ORNL, V3912.
   West Elliott, 1995, WAY W ESSAYS CENTRAL.
   WRIGHT PB, 1979, NATURE, V277, P371, DOI 10.1038/277371a0.}},
Number-of-Cited-References = {{64}},
Times-Cited = {{100}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{17}},
Journal-ISO = {{Clim. Change}},
Doc-Delivery-Number = {{704CH}},
Unique-ID = {{ISI:000184319800005}},
DA = {{2020-08-06}},
}

@article{ ISI:000185481900002,
Author = {Drezner, TD},
Title = {{A test of the relationship between seasonal rainfall and saguaro cacti
   branching patterns}},
Journal = {{ECOGRAPHY}},
Year = {{2003}},
Volume = {{26}},
Number = {{4}},
Pages = {{393-404}},
Month = {{AUG}},
Abstract = {{Reproductive output, as well as photosynthetically active radiation
   interception and CO2 uptake, increase as saguaro cacti Carnegiea
   gigantea (Engelm.) Britt. and Rose branch, and branching increases with
   increasing moisture. The Sonoran Desert experiences distinct summer and
   winter precipitation regimes that vary in both geography and scale. Many
   aspects of saguaro ecology are known to depend on the summer rains,
   which has resulted in an emphasis on summer rains in the literature.
   Similarly, branching studies have been limited geographically to areas
   that receive relatively high amounts of summer rainfall. These studies,
   therefore, attribute branching patterns to the summer (or possibly
   annual) rains, and conclusions reflect the summer precipitation bias.
   Environmental variability in space was explored in the present study to
   investigate saguaro branching patterns. I collected height and branching
   data in thirty saguaro populations across their American range. Stepwise
   regression was used to determine which climate, vegetation and soil
   variables best predict branching. Contrary to the literature, this study
   found that winter precipitation, particularly from January to April, was
   the best predictor of branching, not summer or annual rain.
   Surprisingly, the relationship between the summer monsoons (July and
   August precipitation) and branching was negative. This is likely due to
   the fact that summer and winter rainfall patterns are geographically
   distinct. Winter precipitation appears to play a key role in branching,
   and thus in seed production. This suggests that saguaros benefit from
   moisture during the winter, possibly utilizing cold-season rains for
   increasing their reproductive output through branching, and challenging
   the view that the summer rains dominate virtually every aspect of the
   saguaro life-cycle, and creating a more balanced view of saguaro
   ecology.}},
Publisher = {{BLACKWELL MUNKSGAARD}},
Address = {{35 NORRE SOGADE, PO BOX 2148, DK-1016 COPENHAGEN, DENMARK}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Drezner, TD (Corresponding Author), Univ Wisconsin, Dept Geog, Boltan Hall 410,POB 413, Milwaukee, WI 53201 USA.
   Univ Wisconsin, Dept Geog, Milwaukee, WI 53201 USA.}},
DOI = {{10.1034/j.1600-0587.2003.03561.x}},
ISSN = {{0906-7590}},
Keywords-Plus = {{CARNEGIEA-GIGANTEA; SONORAN DESERT; SEEDLING ESTABLISHMENT; VEGETATION
   CHANGE; COLUMNAR CACTI; NURSE PLANTS; SNOW COVER; GROWTH;
   TELECONNECTION; SOUTHWEST}},
Research-Areas = {{Biodiversity \& Conservation; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Biodiversity Conservation; Ecology}},
Cited-References = {{ALCORN STANLEY M., 1962, PLANT DIS REPORTER, V46, P156.
   Arft AM, 1999, ECOL MONOGR, V69, P491, DOI 10.1890/0012-9615(1999)069{[}0491:ROTPTE]2.0.CO;2.
   BOWERS J.E., 1996, MADRONO, V43, P69.
   Bowers JE, 2001, SOUTHWEST NAT, V46, P272, DOI 10.2307/3672423.
   BRUM G D, 1973, Madrono, V22, P195.
   CARLETON AM, 1987, ANN ASSOC AM GEOGR, V77, P619, DOI 10.1111/j.1467-8306.1987.tb00184.x.
   CARLETON AM, 1986, J CLIMATOL, V6, P605, DOI 10.1002/joc.3370060604.
   Drezner TD, 2003, J BIOGEOGR, V30, P353, DOI 10.1046/j.1365-2699.2003.00834.x.
   DREZNER TD, 2004, IN PRESS J ARID ENV.
   Ellis AW, 2001, GEOPHYS RES LETT, V28, P2653, DOI 10.1029/2000GL006125.
   EVANS LS, 1994, ENVIRON EXP BOT, V34, P9, DOI 10.1016/0098-8472(94)90003-5.
   FELGER RS, 1967, ECOLOGY, V48, P530, DOI 10.2307/1936495.
   FRANCO AC, 1989, J ECOL, V77, P870, DOI 10.2307/2260991.
   GELLER GN, 1986, AM J BOT, V73, P1193, DOI 10.2307/2443798.
   HASTINGS JR, 1961, J ARIZONA ACAD SCI, V2, P32.
   Hawkins TW, 2002, J CLIMATE, V15, P1743, DOI 10.1175/1520-0442(2002)015<1743:IAAOTN>2.0.CO;2.
   Johnson DS, 1924, ECOLOGY, V5, P70, DOI 10.2307/1929166.
   JORDAN PW, 1982, BOT GAZ, V143, P511, DOI 10.1086/337329.
   KLEINBAUM D, 1978, APPL REGRESSION ANAL.
   MCAULIFFE JR, 1984, OECOLOGIA, V64, P319, DOI 10.1007/BF00379128.
   McAuliffe JR, 1998, PALAEOGEOGR PALAEOCL, V141, P253, DOI 10.1016/S0031-0182(98)00054-6.
   MCAULIFFE JR, 1986, BOT GAZ, V147, P334, DOI 10.1086/337600.
   NIERING WA, 1963, SCIENCE, V142, P15, DOI 10.1126/science.142.3588.15.
   NOBEL PS, 1980, BOT GAZ, V141, P188, DOI 10.1086/337142.
   PARKER KC, 1993, ANN ASSOC AM GEOGR, V83, P452, DOI 10.1111/j.1467-8306.1993.tb01945.x.
   Parker KC, 1989, PHYSICAL GEOGR, V10, P322.
   PHILLIPS D L, 1978, Southwestern Naturalist, V23, P669, DOI 10.2307/3671189.
   RICE WR, 1989, EVOLUTION, V43, P223, DOI 10.1111/j.1558-5646.1989.tb04220.x.
   STEENBERGH WF, 1977, NATL PARK SERV SCI M, V8.
   Turner M., 1965, CHANGING MILE ECOLOG.
   Turner R. M., 1995, SONORAN DESERT PLANT.
   Turner R. M., 1994, BIOTIC COMMUNITIES S, P180.
   TURNER RM, 1990, ECOLOGY, V71, P464, DOI 10.2307/1940301.
   TURNER RM, 1966, BOT GAZ, V127, P95, DOI 10.1086/336348.
   VAN DEVENDER T. R., 1990, P SAN DIEGO SOC NATU, V2, P1.
   VANDERMEER J, 1980, Southwestern Naturalist, V25, P357, DOI 10.2307/3670691.
   Woodhouse CA, 1997, J CLIMATE, V10, P2663, DOI 10.1175/1520-0442(1997)010<2663:NOWPDR>2.0.CO;2.
   Woodhouse CA, 1997, INT J CLIMATOL, V17, P859, DOI 10.1002/(SICI)1097-0088(19970630)17:8<859::AID-JOC158>3.3.CO;2-J.
   YEATON R I, 1980, Southwestern Naturalist, V25, P339, DOI 10.2307/3670689.
   YEATON RI, 1979, J ECOL, V67, P529, DOI 10.2307/2259110.}},
Number-of-Cited-References = {{40}},
Times-Cited = {{26}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{35}},
Journal-ISO = {{Ecography}},
Doc-Delivery-Number = {{724HJ}},
Unique-ID = {{ISI:000185481900002}},
DA = {{2020-08-06}},
}

@article{ ISI:000185058300009,
Author = {Ferng, JJ},
Title = {{Allocating the responsibility of CO2 over-emissions from the
   perspectives of benefit principle and ecological deficit}},
Journal = {{ECOLOGICAL ECONOMICS}},
Year = {{2003}},
Volume = {{46}},
Number = {{1}},
Pages = {{121-141}},
Month = {{AUG}},
Abstract = {{Responsible emissions of anthropogenic carbon dioxide (CO2) are
   currently estimated according to the principle of territorial
   responsibility; that is, individual countries are only responsible for
   the anthropogenic CO2 emissions within their own political boundaries.
   In the context of globalization of world economies, such an accounting
   principle would easily result in carbon leakage, thus undermining the
   effects of global warming combat. From the perspectives of benefit
   principle and ecological deficit, this paper develops a framework to
   estimate the amount of responsible anthropogenic CO2 over-emissions,
   which serves as a basis for calculating the amount of anthropogenic CO2
   reduction that a defined country is responsible for. The benefit
   principle assigns the responsibility of pollutant emissions to the
   driving forces behind the activities that emit pollutants rather than to
   direct emitters. The perspective of ecological deficit proposes that a
   country should take the responsibility for reducing pollutant emissions
   when it runs the deficits of assimilation, that is, its responsible
   emissions exceeding its capacity of assimilation. The proposed framework
   is demonstrated using the data of Taiwan in 1996, and discussions on
   improving and extending the framework in future research are provided.
   (C) 2003 Elsevier B.V. All rights reserved.}},
Publisher = {{ELSEVIER}},
Address = {{RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Ferng, JJ (Corresponding Author), Natl Taipei Univ, Dept Land Econ \& Adm, 67 Sec 3,Ming Sheng E Rd, Taipei 10433, Taiwan.
   Natl Taipei Univ, Dept Land Econ \& Adm, Taipei 10433, Taiwan.}},
DOI = {{10.1016/S0921-8009(03)00104-6}},
ISSN = {{0921-8009}},
EISSN = {{1873-6106}},
Keywords = {{benefit principle; burden sharing; anthropogenic CO2 emission;
   ecological deficit; input-output analysis}},
Keywords-Plus = {{GLOBAL WARMING POLICY; GREENHOUSE GASES; CARBON-DIOXIDE; ENERGY-COST;
   CONSUMPTION; IMPORTS; EQUITY; SINKS; TRADE; EMBODIMENT}},
Research-Areas = {{Environmental Sciences \& Ecology; Business \& Economics}},
Web-of-Science-Categories  = {{Ecology; Economics; Environmental Sciences; Environmental Studies}},
Author-Email = {{jjferng@mail.ntpu.edu.tw}},
Cited-References = {{ALCANTARA V, 1995, ENERG ECON, V17, P221, DOI 10.1016/0140-9883(95)00014-L.
   Andersson JO, 2001, ECOL ECON, V37, P113, DOI 10.1016/S0921-8009(00)00272-X.
   Battjes JJ, 1998, ENERG ECON, V20, P67, DOI 10.1016/S0140-9883(97)00016-9.
   BULLARD CW, 1975, ENERG POLICY, V3, P268, DOI 10.1016/0301-4215(75)90035-X.
   COMMON MS, 1992, ENERG ECON, V14, P217, DOI 10.1016/0140-9883(92)90015-6.
   DIXON RK, 1994, SCIENCE, V263, P185, DOI 10.1126/science.263.5144.185.
   Eder P, 1999, ECOL ECON, V29, P359, DOI 10.1016/S0921-8009(98)00092-5.
   ERIKSSON H, 1991, AMBIO, V20, P146.
   Faber M., 1993, REDUCING CO2 EMISSIO.
   Ferng JJ, 2001, ECOL ECON, V37, P159, DOI 10.1016/S0921-8009(00)00292-5.
   Folke C, 1997, AMBIO, V26, P167.
   Ford-Robertson J., 1999, ENVIRON SCI POLICY, V2, P135, DOI DOI 10.1016/S1462-9011(99)00009-X.
   Gunter WD, 1998, APPL ENERG, V61, P209, DOI 10.1016/S0306-2619(98)00042-7.
   HERENDEEN RA, 1978, ENERG POLICY, V6, P162, DOI 10.1016/0301-4215(78)90039-3.
   {*}INT EN AG, 2001, CO2 EM FUEL COMB.
   ISLAM ARM, 1992, EC ANAL POLICY, V22, P161.
   Jansson A, 2001, ECOL ECON, V39, P361, DOI 10.1016/S0921-8009(01)00224-5.
   JAYADEVAPPA R, 2000, ECOLOGICAL EC, V32, P164.
   KIRSCHBAUM MUF, 2001, ENVIRON SCI POLICY, V4, P73.
   Kondo Y, 1998, APPL ENERG, V59, P163, DOI 10.1016/S0306-2619(98)00011-7.
   Konow J, 2001, J ECON BEHAV ORGAN, V46, P137, DOI 10.1016/S0167-2681(01)00194-9.
   LeBlanc Alice, 1999, ENVIRON SCI POLICY, V2, P199.
   Lenzen M, 1998, ENERG POLICY, V26, P495, DOI 10.1016/S0301-4215(98)00012-3.
   Lenzen M, 2001, ECON SYST RES, V13, P65, DOI {[}10.1080/09535310120026256, DOI 10.1080/09535310120026256].
   Machado G, 2001, ECOL ECON, V39, P409, DOI 10.1016/S0921-8009(01)00230-0.
   MACLAREN P, 1999, ENVIRON SCI POLICY, V2, P93.
   Miller R.E., 1985, INPUT OUTPUT ANAL FD.
   Munksgaard J, 2001, ENERG POLICY, V29, P327, DOI 10.1016/S0301-4215(00)00120-8.
   Muradian R, 2002, ECOL ECON, V41, P51, DOI 10.1016/S0921-8009(01)00281-6.
   Neumayer E, 2000, ECOL ECON, V33, P185, DOI 10.1016/S0921-8009(00)00135-X.
   Norton BG, 2000, ETHICS ENV, V5, P23, DOI DOI 10.1016/S1085-6633(99)00028-5.
   PARIKH JK, 1994, AMBIO, V23, P434.
   Princen T, 1999, ECOL ECON, V31, P347, DOI 10.1016/S0921-8009(99)00039-7.
   Proops J. L. R, 1988, INPUT OUTPUT ANAL CU, P201.
   Rapport D, 1998, ECOSYST HEALTH, P18.
   Ridgley MA, 1996, ENERG POLICY, V24, P517, DOI 10.1016/0301-4215(96)00034-1.
   Ringius L, 1998, ENERG POLICY, V26, P777, DOI 10.1016/S0301-4215(98)00032-9.
   ROSE A, 1990, ENERG POLICY, V18, P927, DOI 10.1016/0301-4215(90)90127-P.
   Rose A, 1998, ENVIRON RESOUR ECON, V12, P25, DOI 10.1023/A:1008262407777.
   Schaeffer R, 1996, ENERG CONVERS MANAGE, V37, P955, DOI 10.1016/0196-8904(95)00283-9.
   Schlamadinger B., 1998, ENVIRON SCI POLICY, V1, P313, DOI DOI 10.1016/S1462-9011(98)00016-1.
   Shin S, 1998, ENERG POLICY, V26, P519, DOI 10.1016/S0301-4215(98)00014-7.
   STOGLEHNER G, 2002, J CLEAN PROD, V11, P267.
   van den Bergh JCJM, 1999, ECOL ECON, V29, P61, DOI 10.1016/S0921-8009(99)00032-4.
   Vojnovic I, 1995, ENVIRON CONSERV, V22, P223, DOI 10.1017/S0376892900010626.
   Wackernagel M, 2000, ECOL ECON, V32, P391.
   Wackernagel M., 1996, OUR ECOLOGICAL FOOTP.
   WINJUM JK, 1992, WATER AIR SOIL POLL, V64, P213, DOI 10.1007/BF00477103.
   WYCKOFF AW, 1994, ENERG POLICY, V22, P187, DOI 10.1016/0301-4215(94)90158-9.
   Yamagata Y, 2001, CLIM POLICY, V1, P27, DOI 10.3763/cpol.2001.0104.
   Yang JS, 1997, J NONDESTRUCT EVAL, V16, P1.}},
Number-of-Cited-References = {{51}},
Times-Cited = {{105}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{30}},
Journal-ISO = {{Ecol. Econ.}},
Doc-Delivery-Number = {{716YT}},
Unique-ID = {{ISI:000185058300009}},
DA = {{2020-08-06}},
}

@article{ ISI:000183971000003,
Author = {Brasington, DM},
Title = {{The supply of public school quality}},
Journal = {{ECONOMICS OF EDUCATION REVIEW}},
Year = {{2003}},
Volume = {{22}},
Number = {{4}},
Pages = {{367-377}},
Month = {{AUG}},
Abstract = {{Education economists have estimated many education production functions
   but they have not estimated a supply curve of public school quality. In
   order to estimate the supply of public school quality, the price of a
   unit of public schooling must be found. Invoking the theory of implicit
   markets, the price of a unit of public school quality is derived from a
   series of housing market hedonic estimations, in which house price is
   regressed as a function of school quality. The implicit price is then
   inserted in an estimation of the supply of public schooling. The
   estimated price elasticity of supply is 0.14, suggesting that: (1)
   demand-side policies do not effectively raise the quantity of public
   schooling supplied; and (2) school funding equalization attempts are not
   likely to significantly change the quantity of public school outcomes
   supplied in either rich or poor districts. (C) 2002 Elsevier Science
   Ltd. All rights reserved.}},
Publisher = {{PERGAMON-ELSEVIER SCIENCE LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Brasington, DM (Corresponding Author), Louisiana State Univ, Dept Econ, Baton Rouge, LA 70803 USA.
   Louisiana State Univ, Dept Econ, Baton Rouge, LA 70803 USA.}},
DOI = {{10.1016/S0272-7757(02)00074-2}},
ISSN = {{0272-7757}},
Keywords = {{supply of schooling; hedonic house price; school finance reform; input
   output analysis}},
Keywords-Plus = {{IMPLICIT MARKETS; HOUSING VALUES; DEMAND; COMPETITION; ACHIEVEMENT;
   EDUCATION; PERFORMANCE; PRICES; SPECIFICATION; IMPACT}},
Research-Areas = {{Business \& Economics; Education \& Educational Research}},
Web-of-Science-Categories  = {{Economics; Education \& Educational Research}},
Cited-References = {{{*}ACCRA, 1991, COST LIV IND, V24, P1.
   {*}ACCRA, 1991, COST LIV IND, V25, P1.
   {*}AM, 1991, PAC DAT SET.
   BAKER T, 1997, COLUMBUS DISPATCH, pB1.
   Black SE, 1999, Q J ECON, V114, P577, DOI 10.1162/003355399556070.
   Borland MV, 1996, PUBLIC CHOICE, V87, P395, DOI 10.1007/BF00118656.
   BRASINGTON D, 2002, PUBLIC FINANC REV, V30, P163.
   Brasington D. M., 1999, J REAL ESTATE RES, V18, P395, DOI DOI 10.5555/REES.18.3.G1N4HQ8212111J5M.
   Brasington DM, 2000, J REGIONAL SCI, V40, P583, DOI 10.1111/0022-4146.00189.
   Brasington DM, 2002, REG STUD, V36, P137, DOI 10.1080/00343400220121927.
   BROWN DM, 1990, SOUTHERN ECON J, V56, P984, DOI 10.2307/1059886.
   BROWN JN, 1982, ECONOMETRICA, V50, P765, DOI 10.2307/1912614.
   COUCH JF, 1993, PUBLIC CHOICE, V76, P301, DOI 10.1007/BF01053301.
   CRANE R, 1990, J PUBLIC ECON, V43, P93, DOI 10.1016/0047-2727(90)90052-J.
   CUSHING BJ, 1984, J URBAN ECON, V15, P317, DOI 10.1016/0094-1190(84)90006-8.
   DAVIDSON R, 1981, ECONOMETRICA, V49, P781, DOI 10.2307/1911522.
   Dee TS, 1998, ECON EDUC REV, V17, P419, DOI 10.1016/S0272-7757(97)00040-X.
   Des Rosiers F., 1996, J REAL ESTATE RES, V12, P17.
   DOWNES TA, 1992, NATL TAX J, V45, P405.
   Figlio DN, 1999, ECON EDUC REV, V18, P241, DOI 10.1016/S0272-7757(98)00047-8.
   Figlio DN, 2001, J URBAN ECON, V49, P240, DOI 10.1006/juec.2000.2189.
   GESKE TG, 1990, ECON EDUC REV, V9, P55.
   GILL HL, 1983, SOUTHERN ECON J, V50, P169, DOI 10.2307/1058048.
   GomesNeto JB, 1997, ECON EDUC REV, V16, P271, DOI 10.1016/S0272-7757(97)00001-0.
   Goodman AC, 1998, J HOUS ECON, V7, P121, DOI 10.1006/jhec.1998.0229.
   HANUSHEK EA, 1990, J HUM RESOUR, V25, P179, DOI 10.2307/145753.
   Haurin DR, 1996, J HOUS ECON, V5, P351, DOI 10.1006/jhec.1996.0018.
   HAURIN DR, 2002, ED OUTCOMES HOUSE VA.
   HAYES KJ, 1996, FEDERAL RESERVE BANK, V3, P2.
   HITE D, 1995, THESIS OHIO STATE U.
   JUD GD, 1985, AREUEA J, V13, P452.
   JUD GD, 1981, LAND ECON, V57, P459, DOI 10.2307/3146025.
   Kennedy P., 1992, GUIDE ECONOMETRICS.
   Kennedy PE, 1997, ECON EDUC REV, V16, P385, DOI 10.1016/S0272-7757(96)00063-5.
   LEECH D, IN PRESS J ROYAL S A.
   MCEACHERN WA, 1997, MICROECONOMICS CONT, P104.
   {*}MESA GROUP, 1994, SCH DISTR DAT BOOK.
   MEYER JL, 1997, J N AMER BENTHOL SOC, V16, P3.
   Nelson C. R., 1990, J BUS, V63, P125.
   {*}OFF CRIM JUST SER, 1994, CRIM COUNT 1993.
   PALMQUIST RB, 1984, REV ECON STAT, V66, P394, DOI 10.2307/1924995.
   QUIGLEY JM, 1982, J URBAN ECON, V12, P177, DOI 10.1016/0094-1190(82)90014-6.
   ROSEN S, 1974, J POLIT ECON, V82, P34, DOI 10.1086/260169.
   Sander W, 1996, J HUM RESOUR, V31, P540, DOI 10.2307/146264.
   SARWAR G, 1990, J ECON STUD, V17, P41.
   SAVAGEAU D, 1993, PLACES RATED ALMANAC.
   TINBERGEN J, 1956, WELTWIRTSCH ARCH, V77, P155.
   {*}US BUR CENS, 1990, 3A US GPO US BUR CEN.
   WALDEN ML, 1990, J REAL ESTATE RES, V5, P221.
   WITTE AD, 1979, ECONOMETRICA, V47, P1151, DOI 10.2307/1911956.
   Zanzig BR, 1997, ECON EDUC REV, V16, P431, DOI 10.1016/S0272-7757(97)00003-4.}},
Number-of-Cited-References = {{51}},
Times-Cited = {{13}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{12}},
Journal-ISO = {{Econ. Educ. Rev.}},
Doc-Delivery-Number = {{697YN}},
Unique-ID = {{ISI:000183971000003}},
DA = {{2020-08-06}},
}

@article{ ISI:000184753400005,
Author = {Cessi, P and Otheguy, P},
Title = {{Oceanic teleconnections: Remote response to decadal wind forcing}},
Journal = {{JOURNAL OF PHYSICAL OCEANOGRAPHY}},
Year = {{2003}},
Volume = {{33}},
Number = {{8}},
Pages = {{1604-1617}},
Month = {{AUG}},
Abstract = {{The transhemispheric and interbasin response to time-dependent wind
   forcing localized in the Northern Hemisphere of a single basin is
   examined using the reduced-gravity shallow- water equations in domains
   of simple geometry. On decadal timescales, the pressure on the eastern
   boundary fluctuates synchronously in both hemispheres and thus
   communicates a signal to latitudes distant from the forcing. The signal
   then penetrates into the interior through westward radiation of Rossby
   waves. Associated with the eastern boundary pressure fluctuation is a
   time-dependent mass flux across the equator that, in a single basin, is
   balanced by a storage of mass in the unforced hemisphere. Two oceanic
   basins connected by a reentrant channel at the high-latitude edge of the
   Southern Hemisphere are then considered. Again the forcing is confined
   to the Northern Hemisphere of one basin only. In this geometry the
   time-dependent mass flux across the equator of the forced basin is not
   entirely balanced within the same basin, but induces a mass flux into
   the unforced basin, while the mass heaving within the periodic channel
   is negligible. This process is illustrated by considering winds
   oscillating at a period on the same order as the Rossby wave transit
   time in high latitudes. The interhemispheric and interbasin
   teleconnection is achieved by a combination of long Rossby waves and
   large-scale, low-frequency gravity waves forced by the Rossby signal.
   These disturbances share no characteristics of Kelvin waves; that is,
   they are not boundary trapped.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Cessi, P (Corresponding Author), Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA.
   Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA.
   ENSTA, Paris, France.}},
DOI = {{10.1175/2400.1}},
ISSN = {{0022-3670}},
Keywords-Plus = {{SIMPLE-MODEL; THERMOCLINE; CIRCULATION; BASIN; TIME}},
Research-Areas = {{Oceanography}},
Web-of-Science-Categories  = {{Oceanography}},
Cited-References = {{Bryan K, 1996, CLIM DYNAM, V12, P545, DOI 10.1007/BF00207938.
   Cessi P, 2001, J PHYS OCEANOGR, V31, P3020, DOI 10.1175/1520-0485(2001)031<3020:DORTSW>2.0.CO;2.
   Cessi P, 2001, J PHYS OCEANOGR, V31, P127, DOI 10.1175/1520-0485(2001)031<0127:DSOLFM>2.0.CO;2.
   Dewar WK, 1998, J PHYS OCEANOGR, V28, P1739, DOI 10.1175/1520-0485(1998)028<1739:OTFBPW>2.0.CO;2.
   Douglas B.C., 2000, SEA LEVEL RISE HIST, P1.
   Farrell BF, 1996, J ATMOS SCI, V53, P2025, DOI 10.1175/1520-0469(1996)053<2025:GSTPIA>2.0.CO;2.
   Frankignoul C, 1997, J PHYS OCEANOGR, V27, P1533, DOI 10.1175/1520-0485(1997)027<1533:ASMOTD>2.0.CO;2.
   Fu L.-L., 2001, SATELLITE ALTIMETRY, P133.
   Hsieh WW, 1996, CLIM DYNAM, V12, P535, DOI 10.1007/BF00207937.
   Huang RX, 2000, GEOPHYS RES LETT, V27, P759, DOI 10.1029/1999GL002365.
   Johnson HL, 2002, J PHYS OCEANOGR, V32, P1121, DOI 10.1175/1520-0485(2002)032<1121:ATFTSA>2.0.CO;2.
   KAWASE M, 1987, J PHYS OCEANOGR, V17, P2294, DOI 10.1175/1520-0485(1987)017<2294:EODOCD>2.0.CO;2.
   Liu ZY, 1999, J PHYS OCEANOGR, V29, P1036, DOI 10.1175/1520-0485(1999)029<1036:FPWRIA>2.0.CO;2.
   Primeau F, 2002, J PHYS OCEANOGR, V32, P2652, DOI 10.1175/1520-0485-32.9.2652.
   Roemmich D, 2001, J GEOPHYS RES-OCEANS, V106, P8957, DOI 10.1029/1999JC000150.
   STURGES W, 2000, SEA LEVEL RISE HIST, P165.}},
Number-of-Cited-References = {{16}},
Times-Cited = {{17}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{1}},
Journal-ISO = {{J. Phys. Oceanogr.}},
Doc-Delivery-Number = {{711QW}},
Unique-ID = {{ISI:000184753400005}},
DA = {{2020-08-06}},
}

@article{ ISI:000185954200008,
Author = {Ashrit, RG and Douville, H and Kumar, KR},
Title = {{Response of the Indian monsoon and ENSO-monsoon teleconnection to
   enhanced greenhouse effect in the CNRM coupled model}},
Journal = {{JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN}},
Year = {{2003}},
Volume = {{81}},
Number = {{4}},
Pages = {{779-803}},
Month = {{AUG}},
Abstract = {{The present study is an assessment of a two-member ensemble of transient
   climate change simulations, with a focus on the Indian summer monsoon
   and ENSO-monsoon teleconnection. The CNRM ocean-atmosphere coupled model
   is integrated from 1950 to 2099 and driven by changes in concentrations
   of greenhouse gases and sulfate aerosols. The simulated monsoon climate
   is first validated against available observations and NCEP/NCAR
   reanalyses over the second half of the 20(th) century. The model
   captures the main features of the Indian monsoon climate and the main
   mode of variability found in the tropical regions, namely the El Nino
   Southern Oscillation, reasonably well. During the second half of the
   21(st) century, both scenarios indicate a significant increase in the
   annual mean surface air temperature (about 2degreesC) and in monsoon
   precipitation (less than 10\%) over India, relative to the 1950-1999
   climatology. However, the model does not show a clear strengthening of
   the monsoon circulation, but rather a northward shift of the westerly
   monsoon flow. The increase in monsoon precipitation is therefore partly
   due to a `non-dynamical' response to global warming, namely a large
   increase in precipitable water over India. While the transient response
   of the model shows a qualitative agreement with the surface warming
   observed over recent decades, neither the observations nor the model
   indicate significant trends in All India monsoon rainfall in the late
   20th century. A long-term increase in simulated monsoon precipitation
   does appear from 1950 to 2099, but is superimposed onto relatively large
   multi-decadal fluctuations. The simulated ENSO-monsoon teleconnection
   also shows a strong modulation on multi-decadal time scales, but no
   systematic change with increasing amounts of greenhouse gases.}},
Publisher = {{METEOROLOGICAL SOC JAPAN}},
Address = {{C/O JAPAN METEOROLOGICAL AGENCY 1-3-4 OTE-MACHI, CHIYODA-KU, TOKYO,
   100-0004, JAPAN}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Douville, H (Corresponding Author), CNRM, GMGEC, UDC, Meteo France, 42 Ave Coriolis, F-31057 Toulouse 01, France.
   CNRM, GMGEC, UDC, Meteo France, F-31057 Toulouse 01, France.
   Indian Inst Trop Meteorol, Pune, Maharashtra, India.}},
DOI = {{10.2151/jmsj.81.779}},
ISSN = {{0026-1165}},
EISSN = {{2186-9057}},
Keywords-Plus = {{FRANCE CLIMATE MODEL; ASIAN SUMMER MONSOON; GENERAL-CIRCULATION MODEL;
   SCALE SURFACE CLIMATE; CARBON-DIOXIDE; INTERANNUAL VARIABILITY; SIMPLE
   PARAMETERIZATION; PART II; SENSITIVITY; SCHEME}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{herve.douville@meteo.fr}},
ResearcherID-Numbers = {{Ashrit, Raghavendra/AAJ-6351-2020}},
Cited-References = {{Ashrit RG, 2001, GEOPHYS RES LETT, V28, P1727, DOI 10.1029/2000GL012489.
   BHASKARAN B, 1995, INT J CLIMATOL, V15, P873, DOI 10.1002/joc.3370150804.
   BLANKE B, 1993, J PHYS OCEANOGR, V23, P1363, DOI 10.1175/1520-0485(1993)023<1363:VOTTAO>2.0.CO;2.
   BOUCHER O, 1995, TELLUS B, V47, P281, DOI 10.1034/j.1600-0889.47.issue3.1.x.
   BOUGEAULT P, 1985, MON WEATHER REV, V113, P2108, DOI 10.1175/1520-0493(1985)113<2108:ASPOTL>2.0.CO;2.
   CAMBERLIN P, 2003, UNPUB CLIM DYN.
   Chahine M. T., 1997, GEWEX NEWS, V7, P1.
   DEARDORFF JW, 1978, J GEOPHYS RES-OCEANS, V83, P1889, DOI 10.1029/JC083iC04p01889.
   DEQUE M, 1994, CLIM DYNAM, V10, P249, DOI 10.1007/BF00208992.
   DEQUE M, 1999, DOCUMENTATION ARPEGE.
   DOUVILLE H, 1995, CLIM DYNAM, V12, P21, DOI 10.1007/BF00208760.
   Douville H, 2002, CLIM DYNAM, V20, P45, DOI 10.1007/s00382-002-0259-3.
   Douville H, 2000, J METEOROL SOC JPN, V78, P421, DOI 10.2151/jmsj1965.78.4\_421.
   GELEYN JF, 1995, ECMWF SEM P PAR SUBG, P385.
   Giorgi F, 2002, CLIM DYNAM, V18, P675, DOI 10.1007/s00382-001-0204-x.
   Giorgi F, 2002, CLIM DYNAM, V18, P693, DOI 10.1007/s00382-001-0205-9.
   Goswami BN, 1999, Q J ROY METEOR SOC, V125, P611, DOI 10.1002/qj.49712555412.
   Hu ZZ, 2000, GEOPHYS RES LETT, V27, P2681, DOI 10.1029/2000GL011550.
   IPCC, 2001, CLIM CHANG 2001 SCI.
   Kalnay E, 1996, B AM METEOROL SOC, V77, P437, DOI 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2.
   Kitoh A, 1997, J METEOROL SOC JPN, V75, P1019, DOI 10.2151/jmsj1965.75.6\_1019.
   Kittel TGF, 1998, CLIM DYNAM, V14, P1, DOI 10.1007/s003820050204.
   Krishna Kumar K., 1995, WEATHER, V50, P449, DOI DOI 10.1002/j.1477-8696.1995.tb06071.x.
   Kumar KK, 1999, GEOPHYS RES LETT, V26, P75, DOI 10.1029/1998GL900226.
   Kumar KK, 1999, SCIENCE, V284, P2156, DOI 10.1126/science.284.5423.2156.
   KUMAR KR, 1992, INT J CLIMATOL, V12, P257, DOI 10.1002/joc.3370120303.
   KUMAR P, 2001, MAUSAM, V52, P229.
   LAL M, 1994, CURR SCI INDIA, V66, P430.
   LAL M, 1995, CURR SCI INDIA, V69, P752.
   Latif M, 2001, CLIM DYNAM, V18, P255, DOI 10.1007/s003820100174.
   LEVITUS S, 1982, CLIMATOLOGICAL ATLAS.
   Louis J., 1982, P ECMWF WORKSH PLAN, P59.
   MADEC G, 1997, 9704 LODYC INT.
   MAHFOUF JF, 1994, CLIM DYNAM, V9, P345, DOI 10.1007/BF00223447.
   MAHFOUF JF, 1995, J CLIMATE, V8, P2039, DOI 10.1175/1520-0442(1995)008<2039:TLSSIW>2.0.CO;2.
   Mahfouf JF, 1996, J APPL METEOROL, V35, P987, DOI 10.1175/1520-0450(1996)035<0987:IOGDIA>2.0.CO;2.
   MEEHL GA, 1993, SCIENCE, V260, P1101, DOI 10.1126/science.260.5111.1101.
   Meehl GA, 2000, B AM METEOROL SOC, V81, P413, DOI 10.1175/1520-0477(2000)081<0413:AITTIE>2.3.CO;2.
   Melia DS, 2002, OCEAN MODEL, V4, P137.
   Mitchell JFB, 1997, J CLIMATE, V10, P245, DOI 10.1175/1520-0442(1997)010\<0245:OMOGWB\>2.0.CO;2.
   MORCRETTE JJ, 1990, MON WEATHER REV, V118, P847, DOI 10.1175/1520-0493(1990)118<0847:IOCTTR>2.0.CO;2.
   MORCRETTE JJ, 1989, TECHNICAL MEMORANDUM, V165.
   NOILHAN J, 1989, MON WEATHER REV, V117, P536, DOI 10.1175/1520-0493(1989)117<0536:ASPOLS>2.0.CO;2.
   NOILHAN J, 1996, MON WEA REV, V118, P847.
   Pant G.B., 1997, CLIMATES S ASIA.
   Penner JE, 1998, CLIM DYNAM, V14, P839, DOI 10.1007/s003820050259.
   RAO AK, 2002, CLIM DYNAM, V19, P191.
   RAYNER NA, 1996, 74 UK MET OFF.
   RICARD JL, 1993, ANN GEOPHYS, V11, P1095.
   Royer JF, 2002, CR GEOSCI, V334, P147, DOI 10.1016/S1631-0713(02)01728-5.
   Stephenson D.B., 2001, MAUSAM, V52, P213.
   TERRAY L, 1995, CLIM DYNAM, V11, P487, DOI 10.1007/BF00207197.
   TIMBAL B, 1995, CLIM DYNAM, V12, P1, DOI 10.1007/BF00208759.
   Timmermann A, 1999, NATURE, V398, P694.
   von Storch H., 1999, STAT ANAL CLIMATE RE.
   WEBSTER PJ, 1992, Q J ROY METEOR SOC, V118, P877, DOI 10.1256/smsqj.50704.
   Xie PP, 1996, J CLIMATE, V9, P840, DOI 10.1175/1520-0442(1996)009<0840:AOGMPU>2.0.CO;2.
   Zhao ZC, 1988, J CLIMATE, V1, P367, DOI 10.1175/1520-0442(1988)001<0367:SOSMTD>2.0.CO;2.}},
Number-of-Cited-References = {{58}},
Times-Cited = {{55}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{12}},
Journal-ISO = {{J. Meteorol. Soc. Jpn.}},
Doc-Delivery-Number = {{732PF}},
Unique-ID = {{ISI:000185954200008}},
OA = {{Bronze, Green Accepted}},
DA = {{2020-08-06}},
}

@article{ ISI:000221269100004,
Author = {Scandizzo, S},
Title = {{Connectivity and the measurement of operational risk: an input-output
   approach}},
Journal = {{SOFT COMPUTING}},
Year = {{2003}},
Volume = {{7}},
Number = {{8}},
Pages = {{516-525}},
Month = {{AUG}},
Abstract = {{In this article I propose a framework for the analysis of the
   interdependencies within a financial institution that is based on the
   input-output framework originally developed by Leontiev (1941). After
   discussing the state of the art of operational risk measurement, I
   briefly review the foundations of input-output analysis and explain how
   to build an input-output model at the business unit level for a
   financial institution. I also discuss the suitability of an input-output
   model in capturing the impact on operational risk losses of the
   interdependencies within a financial institution and then present,
   through some numerical examples, how to implement the model within a
   quantitative framework for the measurement of operational risk.}},
Publisher = {{SPRINGER-VERLAG}},
Address = {{175 FIFTH AVE, NEW YORK, NY 10010 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Scandizzo, S (Corresponding Author), European Investment Bank, 100 Blvd Konard Adenauer, L-2950 Luxembourg, Luxembourg.
   European Investment Bank, L-2950 Luxembourg, Luxembourg.}},
DOI = {{10.1007/S00500-002-0236-0}},
ISSN = {{1432-7643}},
Keywords = {{complexity; connectivity; input-output models; operational risk
   measurement}},
Research-Areas = {{Computer Science}},
Web-of-Science-Categories  = {{Computer Science, Artificial Intelligence; Computer Science,
   Interdisciplinary Applications}},
Author-Email = {{s.scandizzo@eib.org}},
Cited-References = {{AMERSHI A, 1990, INTRAFIRM RESOURCE A, P61.
   Coase RH, 1937, ECONOMICA-NEW SER, V4, P386, DOI 10.1111/j.1468-0335.1937.tb00002.x.
   EISENBERG LK, 1995, CONNECTIVITY FINANCI.
   FALKENSTEIN E, 1997, DERIVATIVES Q, V4.
   LEONTIEV V, 1941, STRUCTURE AM EC.
   LITTERMAN D, 1998, FED RES BANK NEW YOR.
   MODIGLIANI F., 1958, COST CAPITAL CORPORA.}},
Number-of-Cited-References = {{7}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{4}},
Journal-ISO = {{Soft Comput.}},
Doc-Delivery-Number = {{818UD}},
Unique-ID = {{ISI:000221269100004}},
DA = {{2020-08-06}},
}

@article{ ISI:000183702700006,
Author = {Moore, GWK and Alverson, K and Holdsworth, G},
Title = {{The impact that elevation has on the ENSO signal in precipitation
   records from the Gulf of Alaska region}},
Journal = {{CLIMATIC CHANGE}},
Year = {{2003}},
Volume = {{59}},
Number = {{1-2}},
Pages = {{101-121}},
Month = {{JUL}},
Abstract = {{In this paper we attempt to reconcile seemingly contradictory research
   concerning the existence of an El-Nino Southern Oscillation (ENSO)
   signal in precipitation records from the Gulf of Alaska region. A number
   of studies based on records from primarily coastal stations and the mass
   balance of low elevation glaciers suggest there is at best a weak
   relationship between ENSO and precipitation anomalies in the region. In
   contrast, an analysis of an ice core extracted from a high elevation
   site on Mount Logan in the region indicates that a statistically
   significant ENSO signal exists in its annual snow accumulation time
   series on both inter-annual and inter-decadal time scales. The ENSO
   signal in the region is expressed through an atmospheric teleconnection
   known as the Pacific North America pattern. We show that a statistically
   significant enhancement in the atmospheric moisture transport into the
   North Pacific and western North America is associated with the warm
   phase of ENSO. The maximum transport does not occur at the surface but
   rather in the lower to middle troposphere. We argue that the high
   elevation of the Mount Logan site allows it to preferentially sample the
   vertically distributed moisture transport anomaly associated with warm
   ENSO events. This study serves to highlight the wealth of information on
   teleconnection patterns that may be contained in paleoclimate data from
   mountainous regions.}},
Publisher = {{KLUWER ACADEMIC PUBL}},
Address = {{VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Moore, GWK (Corresponding Author), Univ Toronto, Dept Phys, Toronto, ON, Canada.
   Univ Toronto, Dept Phys, Toronto, ON, Canada.
   PAGES Int Project Off, Bern, Switzerland.
   Univ Calgary, Arctic Inst N Amer, Calgary, AB, Canada.}},
DOI = {{10.1023/A:1024423925161}},
ISSN = {{0165-0009}},
Keywords-Plus = {{NORTHERN-HEMISPHERE WINTER; MACKENZIE RIVER BASIN; WATER-VAPOR
   TRANSPORT; SOUTHERN OSCILLATION; TELECONNECTIONS; PATTERNS; VARIABILITY;
   CLIMATE; REANALYSES; ATMOSPHERE}},
Research-Areas = {{Environmental Sciences \& Ecology; Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Environmental Sciences; Meteorology \& Atmospheric Sciences}},
ResearcherID-Numbers = {{Moore, Kent/D-8518-2011}},
ORCID-Numbers = {{Moore, Kent/0000-0002-3986-5605}},
Cited-References = {{Bitz CM, 1999, J CLIMATE, V12, P3181, DOI 10.1175/1520-0442(1999)012<3181:ITDVIC>2.0.CO;2.
   BRANSTATOR G, 1985, J ATMOS SCI, V42, P2225, DOI 10.1175/1520-0469(1985)042<2225:AOGCMS>2.0.CO;2.
   Cohen JL, 2000, J HYDROMETEOROL, V1, P547, DOI 10.1175/1525-7541(2000)001<0547:IVITMT>2.0.CO;2.
   Dai A, 2000, GEOPHYS RES LETT, V27, P1283, DOI 10.1029/1999GL011140.
   DEWEAVER E, 1995, NATURE, V378, P706, DOI 10.1038/378706a0.
   Gershunov A, 1998, B AM METEOROL SOC, V79, P2715, DOI 10.1175/1520-0477(1998)079<2715:IMOET>2.0.CO;2.
   GESCH DB, 1999, EOS T AM GEOPHYS UN, V80, P69, DOI DOI 10.1029/99E000050.
   Gill A.E., 1982, ATMOSPHERE OCEAN DYN.
   Held I.M., 1983, LARGE SCALE DYNAMICA, P127.
   Hodge SM, 1998, J CLIMATE, V11, P2161, DOI 10.1175/1520-0442(1998)011<2161:CVACIM>2.0.CO;2.
   HOLDSWORTH G, 1991, J GEOPHYS RES-ATMOS, V96, P7483, DOI 10.1029/91JD00048.
   HOLDSWORTH G, 1992, CLIMATE AD 1500.
   HOREL JD, 1981, MON WEATHER REV, V109, P813, DOI 10.1175/1520-0493(1981)109<0813:PSAPAW>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, 1985, J ATMOS SCI, V42, P1693, DOI 10.1175/1520-0469(1985)042<1693:VSOWTP>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.
   Kaplan A, 1998, J GEOPHYS RES-OCEANS, V103, P18567, DOI 10.1029/97JC01736.
   KENNEDY BW, 1995, AIR TEMPERATURE PREC.
   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.
   Mann ME, 1996, CLIMATIC CHANGE, V33, P409, DOI 10.1007/BF00142586.
   MO KC, 1986, MON WEATHER REV, V114, P2488, DOI 10.1175/1520-0493(1986)114<2488:TEGHTD>2.0.CO;2.
   Mo KC, 1996, J CLIMATE, V9, P1531, DOI 10.1175/1520-0442(1996)009<1531:LSAMTA>2.0.CO;2.
   Moore GWK, 2001, GEOPHYS RES LETT, V28, P3457, DOI 10.1029/2000GL012397.
   MOORE GWK, 2002, IN PRESS ANN GLACIOL.
   PEIXOTO JP, 1992, PHYSICS CLIMATE.
   ROPELEWSKI CF, 1986, MON WEATHER REV, V114, P2352, DOI 10.1175/1520-0493(1986)114<2352:NAPATP>2.0.CO;2.
   Santer BD, 1999, J GEOPHYS RES-ATMOS, V104, P6305, DOI 10.1029/1998JD200096.
   Shabbar A, 1997, J CLIMATE, V10, P3016, DOI 10.1175/1520-0442(1997)010<3016:CPPAWT>2.0.CO;2.
   Smirnov VV, 1999, J CLIMATE, V12, P681, DOI 10.1175/1520-0442(1999)012<0681:SATSOA>2.0.CO;2.
   Smirnov VV, 2001, J HYDROMETEOROL, V2, P441, DOI 10.1175/1525-7541(2001)002<0441:STASVO>2.0.CO;2.
   Trenberth KE, 1998, J GEOPHYS RES-OCEANS, V103, P14291, DOI 10.1029/97JC01444.
   Trenberth KE, 2001, J CLIMATE, V14, P1499, DOI 10.1175/1520-0442(2001)014<1499:QORITT>2.0.CO;2.
   Trenberth KE, 1995, CLIMATIC CHANGE, V31, P427, DOI 10.1007/BF01095156.
   VOSE RS, 1992, GLOBAL HIST CLIMATOL.
   Walker G. T., 1924, MEM INDIA METEOR DEP, V24, P275.
   WALLACE JM, 1981, MON WEATHER REV, V109, P784, DOI 10.1175/1520-0493(1981)109<0784:TITGHF>2.0.CO;2.}},
Number-of-Cited-References = {{37}},
Times-Cited = {{21}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{8}},
Journal-ISO = {{Clim. Change}},
Doc-Delivery-Number = {{693EE}},
Unique-ID = {{ISI:000183702700006}},
DA = {{2020-08-06}},
}

@article{ ISI:000183495000006,
Author = {de Nooij, M and van der Kruk, R and van Soest, DP},
Title = {{International comparisons of domestic energy consumption}},
Journal = {{ENERGY ECONOMICS}},
Year = {{2003}},
Volume = {{25}},
Number = {{4}},
Pages = {{359-373}},
Month = {{JUL}},
Abstract = {{Governments of many industrialized countries have committed themselves
   to substantially reduce their domestic emissions of greenhouse gases.
   Emission reductions can be achieved through technology- and/or
   sector-specific policies. To decide which part of the economy
   environmental policy should be concentrated at, insight must be gained
   into the relative importance of the various factors determining domestic
   aggregate fossil fuel consumption. By applying structural decomposition
   analysis (SDA) across nations, the factors causing per capita energy use
   to differ between countries can be identified, which sheds light on
   where potential energy-saving options can be found. To demonstrate the
   usefulness of between-country SDA, we apply the technique to a set of 8
   OECD countries. (C) 2003 Elsevier Science B.V. All rights reserved.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{de Nooij, M (Corresponding Author), Univ Amsterdam, SEO Amsterdam Econ, Roetersstraat 29, NL-1018 WB Amsterdam, Netherlands.
   Univ Amsterdam, SEO Amsterdam Econ, NL-1018 WB Amsterdam, Netherlands.
   Free Univ Amsterdam, Dept Spatial Econ, Amsterdam, Netherlands.
   Tilburg Univ, Dept Econ \& Ctr, Tilburg, Netherlands.}},
DOI = {{10.1016/S0140-9883(02)00100-7}},
Article-Number = {{PII S0140-9883(02)00100-7}},
ISSN = {{0140-9883}},
Keywords = {{energy use; input-output analysis; structural decomposition analysis;
   international comparisons}},
Keywords-Plus = {{OECD COUNTRIES; DECOMPOSITION; INTENSITY; TRENDS}},
Research-Areas = {{Business \& Economics}},
Web-of-Science-Categories  = {{Economics}},
ResearcherID-Numbers = {{van Soest, Daan P/C-5544-2013}},
ORCID-Numbers = {{van Soest, Daan P/0000-0002-3100-1810}},
Cited-References = {{Ang BW, 1999, HDB ENV RESOURCE EC.
   Chung H. S., 1998, ENERGY ENV, V9, P509.
   Dietzenbacher E., 1998, ECON SYST RES, V10, P307, DOI DOI 10.1080/09535319800000023.
   Faber M., 1993, REDUCING CO2 EMISSIO.
   Greening LA, 1998, ENERG ECON, V20, P43, DOI 10.1016/S0140-9883(97)00020-0.
   HOWARTH RB, 1991, ENERG ECON, V13, P135, DOI 10.1016/0140-9883(91)90046-3.
   IEA, 1997, EN BAL OECD COUNTR 1.
   Miller R.E., 1985, INPUT OUTPUT ANAL FD.
   {*}OECD, 1993, MAIN EC IND ORG EC C.
   {*}OECD, 1995, OECD INP OUTP IO DAT.
   {*}OECD, 1994, LAB FORC STAT.
   ROSE A, 1991, RESOUR ENERG, V13, P1, DOI 10.1016/0165-0572(91)90017-W.
   ROSE A, 1909, HDB ENV RESOURCE EC, pCH75.
   Rosenblum LD, 1996, ECOL PSYCHOL, V8, P1, DOI 10.1207/s15326969eco0801\_1.
   SCHIPPER L, 1999, IEA EMF IIASA C PAR.
   Unander F, 1999, ENERG POLICY, V27, P769, DOI 10.1016/S0301-4215(99)00060-9.}},
Number-of-Cited-References = {{16}},
Times-Cited = {{28}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{12}},
Journal-ISO = {{Energy Econ.}},
Doc-Delivery-Number = {{689LQ}},
Unique-ID = {{ISI:000183495000006}},
DA = {{2020-08-06}},
}

@article{ ISI:000183759100010,
Author = {Norman, SP and Taylor, AH},
Title = {{Tropical and north Pacific teleconnections influence fire regimes in
   pine-dominated forests of north-eastern California, USA}},
Journal = {{JOURNAL OF BIOGEOGRAPHY}},
Year = {{2003}},
Volume = {{30}},
Number = {{7}},
Pages = {{1081-1092}},
Month = {{JUL}},
Abstract = {{Aim To assess the importance of drought and teleconnections from the
   tropical and north Pacific Ocean on historical fire regimes and
   vegetation dynamics in north-eastern California.
   Location The 700 km 2 study area was on the leeward slope of the
   southern Cascade Mountains in north-eastern California. Open forests of
   ponderosa pine ( Pinus ponderosa var. ponderosa Laws.) and Jeffrey pine
   ( P. jeffreyi Grev. \& Balf) surround a network of grass and
   shrub-dominated meadows that range in elevation from 1650 to 1750 m.
   Methods Fire regime characteristics ( return interval, season and
   extent) were determined from crossdated fire scars and were compared
   with tree-ring based reconstructions of precipitation and temperature
   and teleconnections for the period 1700 - 1849. The effect of drought on
   fire regimes was determined using a tree-ring based proxy of climate
   from five published chronologies. The number of forest-meadow units that
   burned was compared with published reconstructions of the El
   Nino/Southern Oscillation (ENSO) and the Pacific Decadal Oscillation
   (PDO).
   Results Landscape scale fires burned every 7 - 49 years in meadow-edge
   forests and were influenced by variation in drought, the PDO and ENSO.
   These widespread fires burned during years that were dryer and warmer
   than normal that followed wetter and cooler years. Less widespread fires
   were not associated with this wet, then dry climate pattern. Widespread
   fires occurred during El Nino years, but fire extent was mediated by the
   phase of the PDO. Fires were most widespread when the PDO was in a warm
   or normal phase. Fire return intervals, season and extent varied at
   decadal to multi-decadal time scales. In particular, an anomalously
   cool, wet period during the early 1800s resulted in widespread fires
   that occurred earlier in the year than fires before or after.
   Main conclusions Fire regimes in north-eastern California were strongly
   influenced by regional and hemispheric-scale climate variation. Fire
   regimes responded to variation that occurred in both the north and
   tropical Pacific. Near normal modes of the PDO may influence fire
   regimes more than extreme conditions. The prevalence of widespread
   teleconnection-driven fires in the historic record suggests that
   variation in the Pacific Ocean was a key regulator of fire regimes
   through its influence on local fuel production and successional dynamics
   in north-eastern California.}},
Publisher = {{BLACKWELL PUBLISHING LTD}},
Address = {{9600 GARSINGTON RD, OXFORD OX4 2DG, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Norman, SP (Corresponding Author), US Forest Serv, USDA, Pacific NW Res Stn, Redwood Sci Lab, 1700 Bayview Dr, Arcata, CA 95521 USA.
   Penn State Univ, Dept Geog, University Pk, PA 16802 USA.}},
DOI = {{10.1046/j.1365-2699.2003.00889.x}},
ISSN = {{0305-0270}},
Keywords = {{fire; climate variability; ponderosa pine; Pacific Decadal Oscillation;
   El Nino/Southern oscillation}},
Keywords-Plus = {{DECADAL CLIMATE VARIABILITY; NINO-SOUTHERN OSCILLATION; MIXED-CONIFER
   FOREST; UNITED-STATES; EL-NINO; PONDEROSA PINE; TREE-RINGS;
   DENDROCLIMATIC RECONSTRUCTION; AMERICAN SOUTHWEST; PRECIPITATION}},
Research-Areas = {{Environmental Sciences \& Ecology; Physical Geography}},
Web-of-Science-Categories  = {{Ecology; Geography, Physical}},
Cited-References = {{Agee J. K., 1993, FIRE ECOLOGY PACIFIC.
   ANDERSON RY, 1992, NINO HIST PALEOCLIMA, P193.
   ARNO SF, 1977, INTGTR42 USDA FOR SE.
   BAISAN CH, 1990, CAN J FOREST RES, V20, P1559, DOI 10.1139/x90-208.
   Barlow M, 2001, J CLIMATE, V14, P2105, DOI 10.1175/1520-0442(2001)014<2105:EPDVAU>2.0.CO;2.
   Beaty RM, 2001, J BIOGEOGR, V28, P955, DOI 10.1046/j.1365-2699.2001.00591.x.
   Biondi F, 2001, J CLIMATE, V14, P5, DOI 10.1175/1520-0442(2001)014<0005:NPDCVS>2.0.CO;2.
   Bitz CM, 1999, J CLIMATE, V12, P3181, DOI 10.1175/1520-0442(1999)012<3181:ITDVIC>2.0.CO;2.
   BOND WJ, 1996, FIRE PLANTS.
   Brenner J., 1991, International Journal of Wildland Fire, V1, P73, DOI 10.1071/WF9910073.
   Brown PM, 2001, ECOSCIENCE, V8, P115, DOI 10.1080/11956860.2001.11682637.
   CABLE DR,

license_type: permissive

branch_name: refs/heads/master

extension: bib