text:
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Number-of-Cited-References = {{130}},
Times-Cited = {{775}},
Usage-Count-Last-180-days = {{8}},
Usage-Count-Since-2013 = {{153}},
Journal-ISO = {{Energy}},
Doc-Delivery-Number = {{379NA}},
Unique-ID = {{ISI:000165647900001}},
DA = {{2020-08-06}},
}

@article{ ISI:000165156000022,
Author = {Goodman, DJ},
Title = {{More reservoirs or transfers? A computable general equilibrium analysis
   of projected water shortages in the Arkansas River Basin}},
Journal = {{JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS}},
Year = {{2000}},
Volume = {{25}},
Number = {{2}},
Pages = {{698-713}},
Month = {{DEC}},
Abstract = {{A computable general equilibrium model of the southeastern Colorado
   economy is used to compare the economic impacts of a proposed increase
   in reservoir storage to an alternative: temporary water transfers. While
   both provide municipalities with reliable water supply during droughts
   and are shown to benefit both rural and urban communities, temporary
   transfers are accomplished at a much lower economic and environmental
   cost. This analysis illustrates how computable general equilibrium
   models provide a more realistic portrayal of the impact of policy
   changes than input-output analysis by allowing substitution in response
   to economic conditions.}},
Publisher = {{WESTERN AGRICULTURAL ECONOMICS ASSOC}},
Address = {{C/O DEEVON BAILEY, UTAH STATE UNIV, ECONOMICS DEPT, 3535 OLD MAIN HILL,
   LOGAN, UT 84322-3530 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Goodman, DJ (Corresponding Author), Univ So Colorado, Hasan Sch Business, Pueblo, CO 81001 USA.
   Univ So Colorado, Hasan Sch Business, Pueblo, CO 81001 USA.}},
ISSN = {{1068-5502}},
Keywords = {{Arkansas River Basin; computable general equilibrium; drought leasing;
   economic analysis; temporary water transfers; water shortages}},
Research-Areas = {{Agriculture; Business \& Economics}},
Web-of-Science-Categories  = {{Agricultural Economics \& Policy; Economics}},
Cited-References = {{{*}CO DEP AGR, 1997, 1995 COL AGR STAT.
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Number-of-Cited-References = {{17}},
Times-Cited = {{45}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{17}},
Journal-ISO = {{J. Agric. Resour. Econ.}},
Doc-Delivery-Number = {{371AT}},
Unique-ID = {{ISI:000165156000022}},
OA = {{DOAJ Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000165808600007,
Author = {Draper, D and Fouskakis, D},
Title = {{A case study of stochastic optimization in health policy: Problem
   formulation and preliminary results}},
Journal = {{JOURNAL OF GLOBAL OPTIMIZATION}},
Year = {{2000}},
Volume = {{18}},
Number = {{4}},
Pages = {{399-416}},
Month = {{DEC}},
Abstract = {{We use Bayesian decision theory to address a variable selection problem
   arising in attempts to indirectly measure the quality of hospital care,
   by comparing observed mortality rates to expected values based on
   patient sickness at admission. Our method weighs data collection costs
   against predictive accuracy to find an optimal subset of the available
   admission sickness variables. The approach involves maximizing expected
   utility across possible subsets, using Monte Carlo methods based on
   random division of the available data into N modeling and validation
   splits to approximate the expectation. After exploring the geometry of
   the solution space, we compare a variety of stochastic optimization
   methods - including genetic algorithms (GA), simulated annealing (SA),
   tabu search (TS), threshold acceptance (TA), and messy simulated
   annealing (MSA) - on their performance in finding good subsets of
   variables, and we clarify the role of N in the optimization. Preliminary
   results indicate that TS is somewhat better than TA and SA in this
   problem, with MSA and GA well behind the other three methods.
   Sensitivity analysis reveals broad stability of our conclusions.}},
Publisher = {{KLUWER ACADEMIC PUBL}},
Address = {{SPUIBOULEVARD 50, PO BOX 17, 3300 AA DORDRECHT, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Draper, D (Corresponding Author), Univ Bath, Claverton Down, Bath BA2 7AY, Avon, England.
   Univ Bath, Bath BA2 7AY, Avon, England.}},
DOI = {{10.1023/A:1026504402220}},
ISSN = {{0925-5001}},
Keywords = {{Bayesian decision theory; cross-validation; genetic algorithm;
   input-output analysis; logistic regression; maximization of expected
   utility; Messy simulated annealing; Monte Carlo methods; prediction;
   quality of health care; sickness at hospital admission; simulated
   annealing; tabu search; threshold acceptance; variable selection}},
Keywords-Plus = {{PROSPECTIVE PAYMENT SYSTEM; HOSPITAL MORTALITY DATA; MEDICARE PATIENTS;
   QUALITY; CARE; PERFORMANCE}},
Research-Areas = {{Operations Research \& Management Science; Mathematics}},
Web-of-Science-Categories  = {{Operations Research \& Management Science; Mathematics, Applied}},
ORCID-Numbers = {{Fouskakis, Dimitris/0000-0001-8514-6911}},
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Number-of-Cited-References = {{24}},
Times-Cited = {{19}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{8}},
Journal-ISO = {{J. Glob. Optim.}},
Doc-Delivery-Number = {{382EA}},
Unique-ID = {{ISI:000165808600007}},
DA = {{2020-08-06}},
}

@article{ ISI:000166140200011,
Author = {Kogan, FN},
Title = {{Satellite-observed sensitivity of world land ecosystems to El Nino/La
   Nina}},
Journal = {{REMOTE SENSING OF ENVIRONMENT}},
Year = {{2000}},
Volume = {{74}},
Number = {{3}},
Pages = {{445-462}},
Month = {{DEC}},
Abstract = {{The recent strong 1997-1998 Nino and the following 1998-1999 La Nina
   disturbed weather, environment, economy, and human lives worldwide. The
   total impact of these events (ENSO) on societies is estimated in
   billions of dollars and consequences include famine, human health
   problems, loss of life, property damage, and destruction of the
   environment. Areas sensitive to ENSO have been identified in some world
   areas from climatic historical records and recently from the normalized
   difference vegetation index. This paper examines the last 15-year
   association between monthly sea surface temperature (SST) anomalies in
   the tropical Pacific and vegetation health (condition) index for the
   entire world. The vegetation health (condition) index, derived from a
   combination of Advanced Very High Resolution Radiometer-based normalized
   difference vegetation index and 10-mum to 11-mum thermal radiances, was
   designed for monitoring moisture and thermal impacts on vegetation
   health (greenness and vigor). Two types of responses were identified. In
   boreal winter, ecosystems of northern South America, southern Africa,
   and Southeast Asia experienced severe moisture and thermal stress during
   El Nino and favorable conditions during La Nina years. In Argentina and
   southwestern United States/Mexico regions, the response was the
   opposite. World ecosystems are less sensitive to SSTs during boreal
   summer, except for the areas in northern Brazil and Southeast Asia,
   where vegetation conditions deteriorate/improve during the warm/cold
   water cycle in the tropical Pacific. In some areas, ENSO impacts on
   ecosystems are clearly identified from satellites and not from in situ
   data (or vice versa). During the boreal winter, these discrepancies
   occurred in Central America, northern Brazil, and southeastern United
   States; during the boreal summer, the discrepancies occurred in the
   sub-Sahara Africa and in the northern part of South America. In the
   course of the 1997-1999 ENSOs, world vegetation generally responded in
   accordance with the vegetation health/SST teleconnection patterns.
   However, in southern Africa, January-March 1998 vegetation stress was
   not as severe and widespread as in other El Nino years. Similarly, no
   stress was recorded in Argentina during the 1998-1999 La Nina. (C)
   Elsevier Science Inc., 2000.}},
Publisher = {{ELSEVIER SCIENCE INC}},
Address = {{655 AVENUE OF THE AMERICAS, NEW YORK, NY 10010 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Kogan, FN (Corresponding Author), NOAA, Natl Environm Satellite Data \& Informat Serv, Ctr Sci, Room 712,5200 Auth Rd, Camp Springs, MD 20746 USA.
   NOAA, Natl Environm Satellite Data \& Informat Serv, Ctr Sci, Camp Springs, MD 20746 USA.}},
DOI = {{10.1016/S0034-4257(00)00137-1}},
ISSN = {{0034-4257}},
Keywords-Plus = {{HIGH-RESOLUTION RADIOMETER; DIFFERENCE VEGETATION INDEX; GLOBAL
   DROUGHT-WATCH; SOUTHERN OSCILLATION; UNITED-STATES; AVHRR DATA; INFRARED
   CHANNELS; DATA SETS; TEMPERATURE; CALIBRATION}},
Research-Areas = {{Environmental Sciences \& Ecology; Remote Sensing; Imaging Science \&
   Photographic Technology}},
Web-of-Science-Categories  = {{Environmental Sciences; Remote Sensing; Imaging Science \& Photographic
   Technology}},
ResearcherID-Numbers = {{Kogan, Felix N/F-5600-2010}},
ORCID-Numbers = {{Kogan, Felix N/0000-0001-8216-900X}},
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Number-of-Cited-References = {{62}},
Times-Cited = {{52}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{25}},
Journal-ISO = {{Remote Sens. Environ.}},
Doc-Delivery-Number = {{387UL}},
Unique-ID = {{ISI:000166140200011}},
DA = {{2020-08-06}},
}

@article{ ISI:000166398400001,
Author = {Gouirand, I and Moron, V},
Title = {{Intra-seasonal and multi-decadal variability of the ENSO/LNSO
   teleconnection with sea level pressure (100 degrees W-50 degrees E; 30
   degrees-70 degrees N) between 1873 and 1996}},
Journal = {{COMPTES RENDUS DE L ACADEMIE DES SCIENCES SERIE II FASCICULE A-SCIENCES
   DE LA TERRE ET DES PLANETES}},
Year = {{2000}},
Volume = {{331}},
Number = {{10}},
Pages = {{633-640}},
Month = {{NOV 30}},
Abstract = {{The relationships between an index of the NINO3.4 region and the
   winter-time sea level pressure (hereafter SLP) anomalies on the
   extratropical North Atlantic and the bordering areas (100 degreesW-50
   degreesE; 30 degrees -70 degreesN) are studied for 1873-1996. This study
   emphasizes the need of a careful pooling of months and the multi-decadal
   variability of the ENSO/LNSO influence on the extratropical North
   Atlantic. We calculate the mean monthly climate anomalies for the 20
   warmest and the 20 coldest NINO3.4 (170 degrees -120 degreesW; 5
   degreesN-5 degreesS) years from October to March. The composite of SLP
   anomalies for the 20 warmest NINO3.4 years shows an,anomalous trough
   centered near 30 degreesW in November-December, and positive
   (respectively negative) SLP anomalies north (respectively south) of 50
   degreesN in January, and over Northeast Canada and Greenland
   (respectively from Cape Hatteras to Scandinavia) in February-March. The
   composite for the 20 coldest NINO3.4 years shows an anomalous ridge from
   Greenland to Western Europe in October-December, and then positive
   (respectively negative) SLP anomalies south (respectively north) of 50
   degrees -55 degreesN in January-March. The positive SLP anomalies
   increase near 35 degrees -40 degreesN in February-March. ENSO/LNSO
   teleconnections on the extratropical North Atlantic are then highly
   different, and sometimes completely reversed, between the months of
   November-December and those of January-March. In November-December, the
   relationships seem stronger at the beginning and at the end of the 20th
   century. In January-March, the intensity of teleconnections is less
   variable even if the SLP anomalies associated with the warm events
   increase in the absolute sense from the beginning of the 20th century
   and shift slightly southward. (C) 2000 Academic des sciences/Editions
   scientifiques et medicales Elsevier SAS.}},
Publisher = {{EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER}},
Address = {{23 RUE LINOIS, 75724 PARIS CEDEX 15, FRANCE}},
Type = {{Article}},
Language = {{French}},
Affiliation = {{Moron, V (Corresponding Author), Univ Bourgogne, Ctr Rech Climatol Trop, UMR 5080, 6 Bd Gabriel, F-21000 Dijon, France.
   Univ Bourgogne, Ctr Rech Climatol Trop, UMR 5080, F-21000 Dijon, France.
   Univ Aix Marseille 1, UFR Sci Geog \& Ammenagement, F-13261 Aix En Provence, France.
   CEREGE, UMR 6635, F-13545 Aix En Provence, France.}},
DOI = {{10.1016/S1251-8050(00)01466-X}},
ISSN = {{1251-8050}},
Keywords = {{sea level pressure; ENSO; LNSO; teleconnection; monthly time-scale;
   multi-decadal variability; North Atlantic}},
Keywords-Plus = {{NINO SOUTHERN OSCILLATION; NORTH-ATLANTIC OSCILLATION; PATTERNS;
   EXTREMES; EUROPE}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary}},
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Number-of-Cited-References = {{17}},
Times-Cited = {{6}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{Comptes Rendus Acad. Sci. Ser II-A}},
Doc-Delivery-Number = {{392ER}},
Unique-ID = {{ISI:000166398400001}},
DA = {{2020-08-06}},
}

@article{ ISI:000165240900001,
Author = {Grubbstrom, RW and Tang, O},
Title = {{Modelling rescheduling activities in a multi-period production-inventory
   system}},
Journal = {{INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS}},
Year = {{2000}},
Volume = {{68}},
Number = {{2}},
Pages = {{123-135}},
Month = {{NOV 20}},
Abstract = {{Decisions for planning production activities for multi-period
   production-inventory systems have been studied in a number of papers
   applying input-output analysis and the Laplace transform. The decisions
   have concerned activities spread out over time without having the
   opportunity to adjust future decisions when the external and/or internal
   circumstances change. In this payer, we extend the analysis to
   situations when rescheduling is possible. Firstly, different classes of
   causes justifying rescheduling activities are presented including
   periodic rescheduling and ``net change{''} Secondly, in terms of
   previously developed theory, we model the behaviour of a simple
   single-level production-inventory system for which its production plan
   may be modified at one point in the future. (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 = {{Grubbstrom, RW (Corresponding Author), Linkoping Inst Technol, Dept Prod Econ, S-58183 Linkoping, Sweden.
   Linkoping Inst Technol, Dept Prod Econ, S-58183 Linkoping, Sweden.}},
DOI = {{10.1016/S0925-5273(00)00050-5}},
ISSN = {{0925-5273}},
Keywords = {{rescheduling; Laplace transform; multi-period production-inventory
   system; renewal process}},
Keywords-Plus = {{MRP-SYSTEMS; TRANSFORM METHODOLOGY; OPEN ORDER; NERVOUSNESS}},
Research-Areas = {{Engineering; Operations Research \& Management Science}},
Web-of-Science-Categories  = {{Engineering, Industrial; Engineering, Manufacturing; Operations Research
   \& Management Science}},
ORCID-Numbers = {{Tang, Ou/0000-0003-3058-7431}},
Cited-References = {{{*}APICS, 1995, APICS DICT.
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Number-of-Cited-References = {{23}},
Times-Cited = {{14}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{5}},
Journal-ISO = {{Int. J. Prod. Econ.}},
Doc-Delivery-Number = {{372NY}},
Unique-ID = {{ISI:000165240900001}},
DA = {{2020-08-06}},
}

@article{ ISI:000165433200001,
Author = {DeWeaver, E and Nigam, S},
Title = {{Zonal-eddy dynamics of the North Atlantic oscillation}},
Journal = {{JOURNAL OF CLIMATE}},
Year = {{2000}},
Volume = {{13}},
Number = {{22}},
Pages = {{3893-3914}},
Month = {{NOV 15}},
Abstract = {{This research is an attempt to understand the dynamical mechanisms that
   drive the wintertime North Atlantic oscillation (NAO) on monthly and
   longer timescales. In an earlier work by DeWeaver and Nigam, the authors
   showed that momentum fluxes from stationary waves play a large role in
   maintaining the zonal-mean zonal wind ((u) over bar) perturbations
   associated with the NAG. In this paper, a linear stationary wave model
   is used to show that zonal-mean flow anomalies in turn play a large role
   in maintaining the NAO stationary waves. A strong two-way coupling thus
   exists between ((u) over bar) and the stationary waves, in which each is
   both a source of and a response to the other.
   When forced by zonal-eddy coupling terms-terms that represent the
   interaction between NAO-covariant zonal-mean zonal wind anomalies and
   the climatological eddy flow-together with heating and transient fluxes,
   the model produces a realistic simulation of the observed stationary
   wave pattern. Zonal-eddy coupling terms make the largest contribution to
   the simulated stationary waves. Every feature of the stationary wave
   pattern is forced to some extent by zonal-eddy coupling, and the
   upper-level trough over Greenland is forced almost entirely by the
   coupling terms. The stationary waves generated by zonal-eddy coupling
   are well positioned to provide additional momentum to the ((u) over bar)
   anomalies, demonstrating the strong positive feedback between zonal-mean
   and eddy Row components.
   The NAO is known for its effect on tropospheric temperatures over
   northern Eurasia, and the model produces a realistic simulation of these
   temperature changes at midtropospheric levels. Zonal-eddy coupling,
   including the zonal advection of land-sea thermal contrasts, is partly
   responsible for the temperature changes. However, diabatic heating
   anomalies associated with the displacement of the Atlantic storm track
   are also influential, causing more than half of the warming over
   Scandinavia and most of cooling from North Africa to the Caspian Sea.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{DeWeaver, E (Corresponding Author), Univ Washington, JISAO, Box 354235, Seattle, WA 98195 USA.
   Univ Maryland, Dept Meteorol, College Pk, MD 20742 USA.}},
DOI = {{10.1175/1520-0442(2000)013<3893:ZEDOTN>2.0.CO;2}},
ISSN = {{0894-8755}},
EISSN = {{1520-0442}},
Keywords-Plus = {{GLOBAL WEATHER EXPERIMENT; MIDLATITUDE STORM TRACKS; ROSSBY-WAVE
   DYNAMICS; GENERAL-CIRCULATION; EL-NINO; STATIONARY WAVES; TELECONNECTION
   PATTERNS; SOUTHERN-HEMISPHERE; GEOPOTENTIAL HEIGHT; FLOW VACILLATION}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{eric@atmos.washington.edu}},
ResearcherID-Numbers = {{Nigam, Sumant/A-8338-2009}},
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Number-of-Cited-References = {{72}},
Times-Cited = {{66}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{8}},
Journal-ISO = {{J. Clim.}},
Doc-Delivery-Number = {{375ZK}},
Unique-ID = {{ISI:000165433200001}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000165433200002,
Author = {Mutai, CC and Ward, MN},
Title = {{East African rainfall and the tropical circulation/convection on
   intraseasonal to interannual timescales}},
Journal = {{JOURNAL OF CLIMATE}},
Year = {{2000}},
Volume = {{13}},
Number = {{22}},
Pages = {{3915-3939}},
Month = {{NOV 15}},
Abstract = {{It is known that the East African short rains (October-December, OND)
   have a positive correlation with El Nino-Southern Oscillation (ENSO). A
   prediction scheme based on sea surface temperature eigenvectors (SST
   EOFs) including Pacific, Indian, and Atlantic Ocean variability showed
   skill higher than one based on ENSO alone. First the authors assess the
   extent to which the large-scale SST predictors correlate with rainfall
   averaged over smaller subregions of East Africa. Most regions correlate
   consistently well, though some pockets of lower correlations suggest
   that interaction with orographic features may modulate the large-scale
   ENSO and other coupled ocean-atmosphere signals in the region.
   Next, to evaluate the atmospheric teleconnections giving rise to the SST
   correlations, the circulation anomalies associated with East African
   rainfall are investigated using National Centers for Environmental
   Prediction-National Center for Atmospheric Research reanalysis data and,
   as a proxy for large-scale tropical convection anomalies, outgoing
   longwave radiation (OLR). In the seasonal OND mean, a sequence of three
   horseshoe structures are evident in the OLR anomalies, with anomaly sign
   in phase over the central Pacific and East Africa, and out of phase over
   the Maritime Continent. This gives rise to the positive ENSO association
   with East African rainfall. The horseshoe structures in the Indian Ocean
   are absent in September and through much of the long rains in March-May,
   though weakly evident again in May. It is suggested that the presence or
   absence of mis teleconnection structure is related to the state of the
   background annual cycle. When the ENSO variance is removed (by linear
   regression) from the datasets, there emerges more strongly a positive
   correlation between East African rainfall in OND and enhanced convection
   through equatorial Africa and into the equatorial Atlantic and Amazon
   region, in turn associated with warm equatorial and tropical South
   Atlantic SST
   The lead-lag structure of intraseasonal teleconnections with East
   African rainfall suggests that 5-10 days before the rainfall event,
   low-level dynamics start to develop in the equatorial Atlantic, and
   these penetrate across equatorial Africa and into East Africa during the
   event itself, at which time anomalies in the Pacific Ocean, which were
   strong 15 days before the event, are now weaker. Five days after the
   rainfall event, 200-hPa divergence over East Africa pulls off the east
   into the Indian Ocean and shows structures that resemble the
   Madden-Julian oscillation. For above-normal rainfall in East. Africa,
   the seasonal mean teleconnection across the Indian Ocean resembles this
   intraseasonal picture with strong convection particularly just off the
   East African coast, prompting discussion of the interaction between the
   intraseasonal and seasonal anomalies.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Mutai, CC (Corresponding Author), Kenya Meteorol Dept, POB 30259, Nairobi, Kenya.
   Kenya Meteorol Dept, Nairobi, Kenya.
   Univ Oklahoma, Cooperat Inst Mesoscale Meteorol Studies, Norman, OK 73019 USA.}},
DOI = {{10.1175/1520-0442(2000)013<3915:EARATT>2.0.CO;2}},
ISSN = {{0894-8755}},
EISSN = {{1520-0442}},
Keywords-Plus = {{SEA-SURFACE TEMPERATURE; NINO SOUTHERN-OSCILLATION; MADDEN-JULIAN
   OSCILLATION; REGIONAL CLIMATE MODEL; SHORT RAINS; SEASONAL RAINFALL;
   INDIAN-OCEAN; EL-NINO; ATMOSPHERIC CIRCULATION; WIND ANOMALIES}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{mutai@lion.meteo.go.ke}},
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Number-of-Cited-References = {{69}},
Times-Cited = {{165}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{27}},
Journal-ISO = {{J. Clim.}},
Doc-Delivery-Number = {{375ZK}},
Unique-ID = {{ISI:000165433200002}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000165433200006,
Author = {Higgins, RW and Leetmaa, A and Xue, Y and Barnston, A},
Title = {{Dominant factors influencing the seasonal predictability of US
   precipitation and surface air temperature}},
Journal = {{JOURNAL OF CLIMATE}},
Year = {{2000}},
Volume = {{13}},
Number = {{22}},
Pages = {{3994-4017}},
Month = {{NOV 15}},
Abstract = {{The relative contributions of El Nino-Southern Oscillation (ENSO),
   long-term tropical Pacific variations, and the Arctic oscillation (AO)
   to the explained variance of U.S. precipitation and surface air
   temperature are investigated. The time variability of monthly
   precipitation in the tropical pacific basin is separated into high-pass
   and low-pass filtered components. The leading EOFs of the high-pass and
   low-pass filtered data capture ENSO cycle-related interannual
   variability and ENSO-like interdecadal variability, respectively. The
   dominant mode of variability in the extratropics is the AO, which has
   been implicated in some of the secular variability of climate in the
   Northern Hemisphere extratropics.
   ENSO produces large, reasonably reproducible spatial and temporal shifts
   in tropical precipitation. The tropical interdecadal variability
   produces more subtle, but still significant, shifts in tropical
   precipitation that contribute significantly to the explained variance
   and to trends in the North Pacific sector, over the United States, and
   extending into the North Atlantic sector. Consistent with previous
   studies, the largest and most significant AO-related contributions are
   during the cold season (October-March). particularly over the eastern
   half of the United States, the North Atlantic sector, Eurasia, and the
   polar cap.
   The results indicate that a significant portion of the skill of climate
   forecast models will likely arise from an ability to forecast the
   temporal and spatial variability of the interdecadal shifts in tropical
   precipitation as well as the associated teleconnection patterns into
   midlatitudes. Because the AO encompasses the North Atlantic oscillation,
   it appears that additional increases in skill over portions of North
   America require forecasts of the AO.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Higgins, RW (Corresponding Author), NOAA, NCEP, NWS,Climate Predict Ctr, Anal Branch, World Weather Bldg,5200 Auth Rd, Camp Springs, MD 20746 USA.
   NOAA, NCEP, NWS,Climate Predict Ctr, Anal Branch, Camp Springs, MD 20746 USA.}},
DOI = {{10.1175/1520-0442(2000)013<3994:DFITSP>2.0.CO;2}},
ISSN = {{0894-8755}},
Keywords-Plus = {{NORTH-ATLANTIC OSCILLATION; EL-NINO; VARIABILITY; CLIMATE; PACIFIC;
   ATMOSPHERE; FORECASTS; PATTERNS; DECADES; FIELDS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
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Number-of-Cited-References = {{35}},
Times-Cited = {{94}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{13}},
Journal-ISO = {{J. Clim.}},
Doc-Delivery-Number = {{375ZK}},
Unique-ID = {{ISI:000165433200006}},
DA = {{2020-08-06}},
}

@article{ ISI:000089265800006,
Author = {Voorspools, KR and Brouwers, EA and D'haeseleer, WD},
Title = {{Energy content and indirect greenhouse gas emissions embedded in
   `emission-free' power plants: results for the Low Countries}},
Journal = {{APPLIED ENERGY}},
Year = {{2000}},
Volume = {{67}},
Number = {{3}},
Pages = {{307-330}},
Month = {{NOV}},
Abstract = {{In the absence of direct sources of greenhouse gas (GHG) emissions (i.e.
   combustion), other sources of emission become dominant in so-called
   `emission-free' power plants. In this study the indirect GHG emissions,
   related to construction of nuclear plants, windfarms and photovoltaic
   plants, are estimated with two different types of life-cycle assessment.
   The process-chain analysis divides an investment good into its material
   components (tons of material) and then unravels the entire production
   process of each material product. The energy required in, and the GHG
   emissions related to, the construction of the power plant are obtained
   by integration over all process steps and summation over all material
   products. The input/output analysis looks at the different economic
   sectors called on in the construction of the power plant. The sectors
   that represent a part of the total cost of the power plant are
   responsible for the amount of energy used (and the corresponding GHG
   emissions) to deliver their final product. A result is provided by
   detailed analysis of all relevant sectors and fitting them into the
   construction phase. Using similar techniques, energy use and GHG
   emissions related to maintenance and demolition, including storage of
   nuclear equipment, can be quantified. For construction, maintenance and
   demolition of these power plants, following orders of magnitude are
   obtained: nuclear: 40kJ(prim)/kWh(el), 3g(CO2)/kWh(el); wind(coast):
   120kJ(prim)/kWh(el), 9g(CO2)/kWh(el); wind(inland): 350kJ(prim)/kWh(el),
   25g(CO2)/kWh(el); PV(1998): 3000kJ(prim)/kWh(el), 130g(CO2)/kWh(el);
   PV(near future): 1500kJ(prim)/kWh(el) and 60g(CO2)/kWh(el). (C) 2000
   Elsevier Science Ltd. All rights reserved.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{D'haeseleer, WD (Corresponding Author), Katholieke Univ Leuven, Celestijnenlaan 300A, B-3001 Louvain, Belgium.
   Katholieke Univ Leuven, B-3001 Louvain, Belgium.}},
DOI = {{10.1016/S0306-2619(00)00016-7}},
ISSN = {{0306-2619}},
Keywords = {{greenhouse-gas emissions; electricity generation; investment goods;
   life-cycle assessment}},
Keywords-Plus = {{CUMULATIVE CO2-EMISSIONS}},
Research-Areas = {{Energy \& Fuels; Engineering}},
Web-of-Science-Categories  = {{Energy \& Fuels; Engineering, Chemical}},
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Number-of-Cited-References = {{31}},
Times-Cited = {{71}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{18}},
Journal-ISO = {{Appl. Energy}},
Doc-Delivery-Number = {{353GE}},
Unique-ID = {{ISI:000089265800006}},
DA = {{2020-08-06}},
}

@article{ ISI:000165057500005,
Author = {Midmore, P and Whittaker, J},
Title = {{Economics for sustainable rural systems}},
Journal = {{ECOLOGICAL ECONOMICS}},
Year = {{2000}},
Volume = {{35}},
Number = {{2}},
Pages = {{173-189}},
Month = {{NOV}},
Abstract = {{Critics often reproach the discipline of economics for supporting
   developments that result in environmental and social degradation. This
   article identifies where such censure is valid, but proceeds to argue
   that the rationale underlying economic techniques is at fault, rather
   than the techniques themselves. Within the rural context, we suggest
   that economics can make a valuable contribution to the design and
   achievement of sustainable ways of living. Valid criticism of economics
   focuses on its assumptions about value, since this has led to emphasis
   of favourable effects of markets, and laissez-faire. Policies exposing
   rural areas to more rigorously competitive market conditions encourage
   their transformation by increasing mechanisation, industrialisation and
   a less sustainable use of resources. New approaches and policies are
   required if different outcomes are to be achieved. An initial step is to
   identify desirable outcomes, a matter of social choice. However, society
   makes multiple demands on rural resources, and such issues cannot be
   adequately captured within a neo-classical welfare model. An
   alternative, hierarchical framework in the tradition of systems
   thinking, capable of analysing the complex relations associated with
   rural resource use, provides appropriate emphasis to the economic links
   between goals at different levels within the system, and appears to have
   some heuristic value. An empirical counterpart of the hierarchical
   framework, input-output analysis, generates information to support
   social choices and can also contribute to the understanding of economic
   systems and their interaction with the wider social, cultural, ethical
   and environmental universe. The article concludes with some revised
   economic policy prescriptions to promote rural sustainability. (C) 2000
   Elsevier Science B.V. All rights reserved.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Review}},
Language = {{English}},
Affiliation = {{Midmore, P (Corresponding Author), Univ Wales, Welsh Inst Rural Studies, Aberystwyth, Dyfed, Wales.
   Univ Wales, Welsh Inst Rural Studies, Aberystwyth, Dyfed, Wales.
   Univ Exeter, Sch Business \& Econ, Exeter, Devon, England.}},
DOI = {{10.1016/S0921-8009(00)00195-6}},
ISSN = {{0921-8009}},
EISSN = {{1873-6106}},
Keywords = {{rural sustainability; hierarchy theory; systems thinking; input-output
   analysis}},
Keywords-Plus = {{INPUT-OUTPUT MODELS; ENVIRONMENTAL-POLICY; AGRICULTURAL-ECONOMICS;
   INCREASING RETURNS; FAMILY-STRUCTURE; HIERARCHY THEORY; MIGRATION;
   POVERTY; AREAS; ENGLAND}},
Research-Areas = {{Environmental Sciences \& Ecology; Business \& Economics}},
Web-of-Science-Categories  = {{Ecology; Economics; Environmental Sciences; Environmental Studies}},
Author-Email = {{pxm@aber.ac.uk}},
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Number-of-Cited-References = {{117}},
Times-Cited = {{18}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{25}},
Journal-ISO = {{Ecol. Econ.}},
Doc-Delivery-Number = {{369GL}},
Unique-ID = {{ISI:000165057500005}},
DA = {{2020-08-06}},
}

@article{ ISI:000165846400019,
Author = {Grubbstrom, RW and Wang, ZP},
Title = {{Introducing capacity limitations into multi-level, multi-stage
   production-inventory systems applying the input-output/Laplace transform
   approach}},
Journal = {{INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH}},
Year = {{2000}},
Volume = {{38}},
Number = {{17}},
Pages = {{4227-4234}},
Month = {{NOV}},
Note = {{15th International Conference of Production Research(ICPR-15), UNIV
   LIMERICK, LIMERICK, IRELAND, AUG, 1999}},
Abstract = {{The Laplace transform and Input-Output Analysis have been used to
   formulate a theoretical basis for Material Requirements Planning (MRP).
   In this paper, as a first step to incorporating capacity limitations
   into this theory, we introduce alternative formulations of a model for
   capacity-constrained production-inventory systems in a deterministic
   environment applying the

license_type: permissive

branch_name: refs/heads/master

extension: bib