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Number-of-Cited-References = {{257}},
Times-Cited = {{406}},
Usage-Count-Last-180-days = {{9}},
Usage-Count-Since-2013 = {{158}},
Journal-ISO = {{Surv. Geophys.}},
Doc-Delivery-Number = {{524CC}},
Unique-ID = {{ISI:000173993500002}},
DA = {{2020-08-06}},
}

@article{ ISI:000171212600006,
Author = {Phillips, ID and McGregor, GR},
Title = {{The relationship between synoptic scale airflow direction and daily
   rainfall: a methodology applied to Devon and Cornwall, South West
   England}},
Journal = {{THEORETICAL AND APPLIED CLIMATOLOGY}},
Year = {{2001}},
Volume = {{69}},
Number = {{3-4}},
Pages = {{179-198}},
Abstract = {{Trans-scale relationships are established between fluctuations in the
   direction of the geostrophic flow over the British Isles and spatial
   variations in rainfall over Devon an Cornwall, South West England. The
   rationale for using such an approach is to provide the basis for
   assessing changes to the region's rainfall climatology that may result
   from possible future enhanced greenhouse effect forced alterations to
   large-scale wind flow patterns. A new method, the concentration factor
   (CF), that relates rainfall totals to the frequency of the flow, is
   applied to investigate spatial variations in rainfall totals at twelve
   stations in the two counties under eight wind direction groups (N, NE,
   E, SE, S, SW, W, NW). S and SW flow types are found to produce the
   highest daily rainfall totals at all locations, with the three easterly
   groups (NE, E, SE) yielding higher daily precipitation intensities than
   the maritime NW group. Inter-annual and seasonal variations in daily
   wind direction - rainfall (WD/R) relationships are then assessed at two
   contrasting sites in Cornwall (St. Mawgan, Culdrose) using 40 years of
   data (1957-96). In general, there is a trend over this period toward
   maritime airflows (S, SW, W, NW) producing higher daily rainfall totals,
   with the continental groups (N, NE, E, SE) yielding lower totals
   relative to their frequency of occurrence. The trend toward maritime
   airflows producing higher rainfall totals is in line with recent trends
   in the North Atlantic Oscillation (NAO). Notable seasonal variations in
   WD/R relationships over Cornwall are interpreted in terms of the
   location's exposure to the prevailing wind, sea temperature variations
   and the orography of the South West Peninsula.}},
Publisher = {{SPRINGER-VERLAG WIEN}},
Address = {{SACHSENPLATZ 4-6, PO BOX 89, A-1201 VIENNA, AUSTRIA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Phillips, ID (Corresponding Author), Univ Birmingham, Sch Geog \& Environm Sci, Birmingham B15 2TT, W Midlands, England.
   Univ Birmingham, Sch Geog \& Environm Sci, Birmingham B15 2TT, W Midlands, England.}},
DOI = {{10.1007/s007040170024}},
ISSN = {{0177-798X}},
Keywords-Plus = {{DAILY PRECIPITATION; ATMOSPHERIC CIRCULATION; WIND DIRECTION;
   CLIMATE-CHANGE; BRITISH-ISLES; WALES; TELECONNECTION; TEMPERATURE;
   OROGRAPHY; FLUCTUATIONS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
ORCID-Numbers = {{McGregor, Glenn/0000-0001-8487-2081}},
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Number-of-Cited-References = {{60}},
Times-Cited = {{13}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{32}},
Journal-ISO = {{Theor. Appl. Climatol.}},
Doc-Delivery-Number = {{476EE}},
Unique-ID = {{ISI:000171212600006}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000175939300014,
Author = {Pinzon, JE and Pierce, JF and Tucker, CJ},
Editor = {{Callaos, N and Long, S and Loutfi, M}},
Title = {{Analysis of remote sensing data using Hilbert-Huang Transform}},
Booktitle = {{WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL
   XVII, PROCEEDINGS: CYBERNETICS AND INFORMATICS: CONCEPTS AND
   APPLICATIONS (PT II)}},
Year = {{2001}},
Pages = {{78-83}},
Note = {{5th World Multi-Conference on Systemics, Cybernetics and Informatics
   (SCI2001)/7th International Conference on Information Systems Analysis
   and Synthesis (ISAS 2001), ORLANDO, FL, JUL 22-25, 2001}},
Organization = {{Int Inst Informat \& System; IEEE Comp Soc, Venezuela Chapter; World Org
   System \& Cybernet; Ctr Syst Studies; Syst Soc Poland; Soc Appl Syst
   Res; Slovenian Artificial Intelligence Soc; Simon Bolivar Univ; Polish
   Syst Soc; Italian Soc System; Int Soc Syst Sci; Int Syst Inst; IEEE
   Latin Amer; Int Federat Syst Res; Cybernet \& Human Knowing; Tunisian
   Sci Soc}},
Abstract = {{The information content derived from the empirical mode decomposition
   (EMD) is used to study seasonal and interannual variation in
   satellite-sensed vegetation index data. In a first application, daily
   normalized difference vegetation index (NDVI) images from the advanced
   very high resolution radiometers (AVHRR) onboard the National Oceanic
   and Atmospheric Administration (NOAA) polar satellites were corrected
   using EMD noise removal techniques. In this case, oscillations proper to
   intermittent events related to noisy-cloud contamination, to view
   geometry, and ground `` true{''} signals are discriminated. Three
   intrinsic mode functions (IMF)s are used to associate confidence
   intervals to the corrected image at the pixel level providing a better
   quality product. As a second application, EMD is used to investigate
   linkages between dominant spatio-temporal dynamics of vegetation signals
   and modes of inter-annual variation in climate such as El Ni (n) over
   tildeo Southern Oscillation (ENSO) and North Atlantic Oscillation (NAO).
   A direct linear relationship between ENSO and NAO IMF cycles with
   correspondent IMFs of vegetation provides a teleconnection index of the
   relative importance of the climate oscillations in the interannual
   variation of global land surface vegetation.}},
Publisher = {{INT INST INFORMATICS \& SYSTEMICS}},
Address = {{14269 LORD BARCLAY DR, ORLANDO, FL 32837 USA}},
Type = {{Proceedings Paper}},
Language = {{English}},
Affiliation = {{Pinzon, JE (Corresponding Author), NASA, Goddard Space Flight Ctr, Code 923,SSAI, Greenbelt, MD 20771 USA.
   NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA.}},
ISBN = {{980-07-7557-9}},
Keywords = {{normalized difference vegetation index; seasonal patterns; interannual
   variation in climate; empirical mode decomposition; noise removal}},
Keywords-Plus = {{SEA-SURFACE TEMPERATURE; AVHRR DATA; VEGETATION; SPECTRUM; LAND}},
Research-Areas = {{Computer Science}},
Web-of-Science-Categories  = {{Computer Science, Artificial Intelligence; Computer Science,
   Cybernetics; Computer Science, Information Systems; Computer Science,
   Interdisciplinary Applications}},
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Number-of-Cited-References = {{19}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{4}},
Doc-Delivery-Number = {{BU41L}},
Unique-ID = {{ISI:000175939300014}},
DA = {{2020-08-06}},
}

@article{ ISI:000166027900002,
Author = {Depetris, PJ and Pasquini, AI},
Title = {{The hydrological signal of the Perito Moreno Glacier damming of Lake
   Argentino (southern Andean Patagonia): the connection to climate
   anomalies}},
Journal = {{GLOBAL AND PLANETARY CHANGE}},
Year = {{2000}},
Volume = {{26}},
Number = {{4}},
Pages = {{367-374}},
Month = {{DEC 15}},
Abstract = {{The periodic damning of Lake Argentino by the Perito Moreno Glacier (50
   degrees 30'S, 73 degrees 00'W) in Argentina's southern Patagonian Andes
   has been recorded seventeen times since the beginning of this century.
   Such events are significant factors controlling discharge anomalies
   (seasonal component removed) of the Santa Cruz River, the sole outlet of
   Lake Argentino. Power spectrum analysis of the deseasonalized discharge
   revealed significant period peaks in the 33- to 36-month range and in
   the 42- to 58-month range. The first frequency is probably determined by
   the anomalous position of the subtropical anticyclones in the Pacific
   (with 2-5 years recurrence intervals), whereas the remaining frequencies
   are coincidental with the multivariate ENSO index (MEI) frequency
   spectrum. Significant squared coherency (> 0.78) between the Santa Cruz
   River discharge anomalies and the MEI suggests that there is a
   significant teleconnection between ENSO occurrences in the Pacific and
   the Perito Moreno Glacier dynamics. El Nino events, for example, appear
   to have fostered the advancement of the glacier's snout and influenced
   the recorded damming-rupture sequence. (C) 2000 Elsevier Science B.V.
   All rights reserved.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Depetris, PJ (Corresponding Author), Univ Nacl Cordoba, Fac Ciencias Exactas Fis \& Nat, CIGeS, Av Velez Sarsfield 299, RA-5000 Cordoba, Argentina.
   Univ Nacl Cordoba, Fac Ciencias Exactas Fis \& Nat, CIGeS, RA-5000 Cordoba, Argentina.}},
DOI = {{10.1016/S0921-8181(00)00049-7}},
ISSN = {{0921-8181}},
Keywords = {{glaciers; ENSO; climate anomalies; spectrum analysis; hydrology}},
Keywords-Plus = {{OSCILLATION; VARIABILITY; ENSO}},
Research-Areas = {{Physical Geography; Geology}},
Web-of-Science-Categories  = {{Geography, Physical; Geosciences, Multidisciplinary}},
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Number-of-Cited-References = {{16}},
Times-Cited = {{17}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{15}},
Journal-ISO = {{Glob. Planet. Change}},
Doc-Delivery-Number = {{385WJ}},
Unique-ID = {{ISI:000166027900002}},
DA = {{2020-08-06}},
}

@article{ ISI:000166480300007,
Author = {Sonis, M and Hewings, GJD},
Title = {{LDU-factorization of Miyazawa income multipliers in multiregional
   systems}},
Journal = {{ANNALS OF REGIONAL SCIENCE}},
Year = {{2000}},
Volume = {{34}},
Number = {{4}},
Pages = {{569-589}},
Month = {{DEC}},
Abstract = {{A new triple LDU-factorization (L represents a lower-triangular block
   matrix, D represents the diagonal block matrix and U represents an
   upper-triangular block matrix) of the Leontief inverse is based on the
   Schur block-inversion of matrices. This factorization is applied to the
   decomposition of Miyazawa-type multipliers of income formation within
   the multiregional system and to the further elaboration in the extended
   demo-economic multiregional input-output analysis.}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Sonis, M (Corresponding Author), Univ Illinois, Reg Econ Applicat Lab, Urbana, IL 61801 USA.
   Univ Illinois, Reg Econ Applicat Lab, Urbana, IL 61801 USA.
   Bar Ilan Univ, IL-52900 Ramat Gan, Israel.
   Univ Illinois, Reg Econ Applicat Lab, Urbana, IL 61801 USA.}},
DOI = {{10.1007/s001680000022}},
ISSN = {{0570-1864}},
EISSN = {{1432-0592}},
Keywords-Plus = {{MODELS}},
Research-Areas = {{Business \& Economics; Environmental Sciences \& Ecology; Geography;
   Public Administration}},
Web-of-Science-Categories  = {{Economics; Environmental Studies; Geography; Regional \& Urban Planning}},
Author-Email = {{sonism@mail.biu.ac.il
   hewings@uluc.edu}},
ResearcherID-Numbers = {{Hewings, Geoffrey J D/B-2058-2014}},
ORCID-Numbers = {{Hewings, Geoffrey J D/0000-0003-2560-3273}},
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Number-of-Cited-References = {{35}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{2}},
Journal-ISO = {{Ann. Reg. Sci.}},
Doc-Delivery-Number = {{393QC}},
Unique-ID = {{ISI:000166480300007}},
DA = {{2020-08-06}},
}

@article{ ISI:000166406700004,
Author = {Rodionov, S and Assel, R},
Title = {{Atmospheric teleconnection patterns and severity of winters in the
   laurentian Great Lakes basin}},
Journal = {{ATMOSPHERE-OCEAN}},
Year = {{2000}},
Volume = {{38}},
Number = {{4}},
Pages = {{601-635}},
Month = {{DEC}},
Abstract = {{We analyzed the relationship between an index of Great Lakes winter
   severity (winters 1950-1998) and atmosphere circulation characteristics.
   Classification and Regression Tree analysis methods allowed us to
   develop a simpler characterization of warm, normal and cold winters in
   terms of teleconnection and their combinations. Results are presented in
   the form of decision trees. The single most important classifies for
   warm winters was the Polar/Eurasian index (POL). A majority of warm
   winters (12 out of 15) occurred when this index was substantially
   positive (POL > 0.23). There were no cold winters (12 out of 15)
   occurred when this index was substantially positive (POL > 0.23). There
   were no cold winters when this condition was in place. Warm winters are
   associated with a positive phase of the Western Pacific pattern and El
   Nino events in the equatorial Pacific. The association between cold
   winters and La Nina events was much weaker. Thus, the effect of the El
   Nino/Southern Oscillation (ENSO) on severity of winters in the great
   Lakes basin is not symmetric. The structure of the relationship between
   the index of winter severity and telecommunication indices is more
   complex for cold winters than for warm winters. It takes two or more
   indices to successfully classify cold winters. In general, warm winters
   are characterized by a predominantly zonal type of atmospheric
   circulation over the Northern Hemisphere (type W1). Within this type of
   circulation it is possible to distinguish two sub-types, W2 and W3.
   Sub-type W2 is characterized by a high-pressure cell over North America,
   which is accompanied by enhanced cyclonic activity over the eastern
   North Pacific. Due to a broad southerly ``anomalous{''} flow, surface
   air temperatures (SATs) are above normal almost everywhere over the
   continent. During the W3 sub-type, the polar jet stream over North
   America instead of forming a typical ridge-trough pattern, is almost
   entirely zonal, thus effectively blocking an advection of cold Arctic
   air to the south. Cold winters tend to occur when the atmospheric
   circulation is more meridional (type C1). As with warm winters, there
   are two sub-types of circulation, C2 and C3. In the case of C2, the jet
   stream loops southward over the western part of North America, but its
   northern excursion over the eastern part is suppressed. In this
   situation, the probability of a cold winter is higher for Lake Superior
   than for the lower Great Lakes. Sub-type C3 is characterized by an
   amplification of the climatological ridge over the Rockies and the
   trough over the East Coast. The strongest negative SAT anomalies are
   located south of the Great Lakes basin, so that the probability of a
   cold winter is higher for the lower Great Lakes then for Lake Superior.}},
Publisher = {{CMOS-SCMO}},
Address = {{BOX 3211, STATION D, OTTAWA, ON K1P 6H7, CANADA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Assel, R (Corresponding Author), Natl Ocean \& Atmospher Adm, US Dept Commerce, Great Lakes Environm Res Lab, Ann Arbor, MI 48105 USA.
   Natl Ocean \& Atmospher Adm, US Dept Commerce, Great Lakes Environm Res Lab, Ann Arbor, MI 48105 USA.}},
DOI = {{10.1080/07055900.2000.9649661}},
ISSN = {{0705-5900}},
EISSN = {{1480-9214}},
Keywords-Plus = {{SEA-SURFACE TEMPERATURE; NORTHERN-HEMISPHERE WINTER; GEOPOTENTIAL HEIGHT
   FIELD; UNITED-STATES CLIMATE; SOUTHERN OSCILLATION; CIRCULATION
   PATTERNS; EL-NINO; ICE CONDITIONS; LA-NINA; PACIFIC}},
Research-Areas = {{Meteorology \& Atmospheric Sciences; Oceanography}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences; Oceanography}},
Author-Email = {{Assel@glerl.noaa.gov}},
ORCID-Numbers = {{Rodionov, Sergei/0000-0002-5318-9746}},
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Number-of-Cited-References = {{50}},
Times-Cited = {{30}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{10}},
Journal-ISO = {{Atmos.-Ocean}},
Doc-Delivery-Number = {{392HY}},
Unique-ID = {{ISI:000166406700004}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000089976500004,
Author = {Yang, MX and Yao, TD and He, YQ and Thompson, LG},
Title = {{ENSO events recorded in the Guliya ice core}},
Journal = {{CLIMATIC CHANGE}},
Year = {{2000}},
Volume = {{47}},
Number = {{4}},
Pages = {{401-409}},
Month = {{DEC}},
Abstract = {{Based on the ENSO chronology and climatic information recovered from the
   Guliya ice core in the Tibetan Plateau, China, the ENSO teleconnection
   was investigated. The results showed that the negative precipitation
   anomalies are significantly associated with El Nino years but poorly
   with negative anomaly of delta O-18. Thus, the ice core records can be
   used as an archive of extremely global climate anomalies such as ENSO
   events.}},
Publisher = {{SPRINGER}},
Address = {{VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Yang, MX (Corresponding Author), Chinese Acad Sci, Cold \& Arid Reg Environm \& Engn Res Inst, Lanzhou 730000, Peoples R China.
   Chinese Acad Sci, Cold \& Arid Reg Environm \& Engn Res Inst, Lanzhou 730000, Peoples R China.
   Ohio State Univ, Byrd Polar Res Ctr, Columbus, OH 43210 USA.}},
DOI = {{10.1023/A:1005696702385}},
ISSN = {{0165-0009}},
EISSN = {{1573-1480}},
Keywords-Plus = {{NINO SOUTHERN OSCILLATION; SURFACE AIR-TEMPERATURE; EL-NINO;
   EASTERN-HEMISPHERE; TELECONNECTIONS; PRECIPITATION}},
Research-Areas = {{Environmental Sciences \& Ecology; Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Environmental Sciences; Meteorology \& Atmospheric Sciences}},
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Number-of-Cited-References = {{22}},
Times-Cited = {{24}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{16}},
Journal-ISO = {{Clim. Change}},
Doc-Delivery-Number = {{365XV}},
Unique-ID = {{ISI:000089976500004}},
DA = {{2020-08-06}},
}

@article{ ISI:000165647900001,
Author = {Ang, BW and Zhang, FQ},
Title = {{A survey of index decomposition analysis in energy and environmental
   studies}},
Journal = {{ENERGY}},
Year = {{2000}},
Volume = {{25}},
Number = {{12}},
Pages = {{1149-1176}},
Month = {{DEC}},
Abstract = {{Index decomposition methodology was a technique first used in the late
   1970s to study the impact of changes in product mix on industrial energy
   demand. A survey in 1995 listed a total of 51 studies. Since then, many
   new studies and several new decomposition methods have been reported and
   the methodology has been increasingly used in energy-related
   environmental analysis. We trace these new developments, discuss method
   formulation using an index number framework, and classify more than one
   hundred studies based on application area, aggregate indicator, and
   decomposition scheme. Application issues useful to researchers
   undertaking new studies and possible areas for future research are
   presented. (C) 2000 Elsevier Science Ltd. All rights reserved.}},
Publisher = {{PERGAMON-ELSEVIER SCIENCE LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND}},
Type = {{Review}},
Language = {{English}},
Affiliation = {{Ang, BW (Corresponding Author), Natl Univ Singapore, Dept Ind \& Syst Engn, 10 Kent Ridge Crescent, Singapore 119260, Singapore.
   Natl Univ Singapore, Dept Ind \& Syst Engn, Singapore 119260, Singapore.}},
DOI = {{10.1016/S0360-5442(00)00039-6}},
ISSN = {{0360-5442}},
Keywords-Plus = {{CARBON-DIOXIDE EMISSIONS; 10 OECD COUNTRIES; INPUT-OUTPUT-ANALYSIS; CO2
   EMISSIONS; STRUCTURAL-CHANGE; DIVISIA INDEX; MANUFACTURING SECTOR; POWER
   SECTOR; INDUSTRIALIZED COUNTRIES; ELECTRICITY INTENSITY}},
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