text:
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Number-of-Cited-References = {{47}},
Times-Cited = {{27}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{7}},
Journal-ISO = {{Geology}},
Doc-Delivery-Number = {{551UC}},
Unique-ID = {{ISI:000175579300012}},
DA = {{2020-08-06}},
}

@article{ ISI:000176177400003,
Author = {Lolis, CJ and Bartzokas, A and Katsoulis, BD},
Title = {{Spatial and temporal 850 hPA air temperature and sea-surface temperature
   covariances in the Mediterranean region and their connection to
   atmospheric circulation}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2002}},
Volume = {{22}},
Number = {{6}},
Pages = {{663-676}},
Month = {{MAY}},
Abstract = {{The spatial and temporal covariability between the lower troposphere and
   sea surface temperatures (SSTs) are Studied in the Mediterranean basin
   for the period 1958-98. Monthly air temperature anomalies for the 850
   hPa pressure level (T-850hPa) at 2.5degrees x 2.5degrees grid points and
   SST anomalies in 5degrees x 5degrees grid boxes are utilized. As a first
   step, factor analysis is applied oil both sets of data in order to
   reduce their dimensionality. Then, canonical correlation analysis is
   applied and this leads to one statistically significant pair of
   canonical variates for winter and to two pairs for summer. In winter, a
   teleconnection (see-saw) between western Europe and the eastern
   Mediterranean at the 850 hPa level is revealed, and a corresponding
   weaker one between the areas of central-west and eastern Mediterranean
   for SST. The correlation between T-850hPa and SST appears higher over
   the eastern Mediterranean. In summer, the first pair of canonical
   variates reveals a covariability between T-850hPa and SST in the western
   Mediterranean, and the second one shows a covariability in the eastern
   Mediterranean, without the existence of any strong spatial
   teleconnection. The analysis is repeated, using time lags of I month, or
   longer, in order to detect any possible non-synchronous relation.
   Statistically significant results are found only when T-850hPa leads SST
   with a time lag of I month. In particular, the results are statistically
   significant for winter only, and the findings are similar to those of
   the first analysis. Therefore, the existence of a I month time scale SST
   persistence is detected for winter months. Copyright (C) 2002 Royal
   Meteorological Society.}},
Publisher = {{JOHN WILEY \& SONS LTD}},
Address = {{BAFFINS LANE CHICHESTER, W SUSSEX PO19 1UD, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Bartzokas, A (Corresponding Author), Univ Ioannina, Dept Phys, Lab Meteorol, Ioannina 45110, Greece.
   Univ Ioannina, Dept Phys, Lab Meteorol, Ioannina 45110, Greece.}},
DOI = {{10.1002/joc.759}},
ISSN = {{0899-8418}},
Keywords = {{850 hPa air temperature; sea-surface temperature (SST); Mediterranean
   Sea; Mediterranean oscillation; factor analysis; canonical correlation
   analysis}},
Keywords-Plus = {{PRINCIPAL COMPONENTS; LAST CENTURY; PRECIPITATION; ATLANTIC; ANOMALIES;
   COVARIABILITY; OSCILLATION; CLIMATOLOGY; EUROPE; WINTER}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
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Number-of-Cited-References = {{41}},
Times-Cited = {{33}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{562BK}},
Unique-ID = {{ISI:000176177400003}},
DA = {{2020-08-06}},
}

@article{ ISI:000176177400006,
Author = {Ding, XL and Zheng, DW and Yang, S},
Title = {{Variations of the surface temperature in Hong Kong during the last
   century}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2002}},
Volume = {{22}},
Number = {{6}},
Pages = {{715-730}},
Month = {{MAY}},
Abstract = {{A statistical analysis has been applied to obtain a better understanding
   of the variations of the surface climate in Southeast Asia. In
   particular, we have depicted the detailed features of the changes in the
   Surface air temperature of Hong Kong (HK) during the past 115 years.
   Analysis of the time-frequency spectra of the wavelet transform
   indicates that although seasonal variations account for most of the
   temperature variations, strong signals also exist On subseasonal,
   interannual, and interdecadal time scales. Though the strong seasonal
   cycle is marked by a minimum temperature in February (and then in
   January) and a maximum temperature in July (and then in August), strong
   variations on the subseasonal and interannual time scales occur mostly
   in February and then in March. It is also found that a rising tendency
   exists in the Ion-recorded temperature data, with a rate of 0.09-0.15
   degreesC per decade.
   Temperature variations in HK are strongly related to changes in the
   regional and remote atmospheric circulation on various time scales. The
   East Asian monsoon circulation is the main factor controlling the
   seasonal cycle and the subseasonal and interannual variations of the HK
   temperature during winter. The subseasonal and seasonal variations of
   the temperature are also associated with changes in the atmospheric
   Circulation over the North Pacific, which is closely linked to the East
   Asian jet stream. Strong signals are also found in both this
   mid-latitude circulation and the El Nino-southern oscillation phenomenon
   when the interannual variability of the HK temperature is apparent.
   Copyright (C) 2002 Royal Meteorological Society.}},
Publisher = {{JOHN WILEY \& SONS LTD}},
Address = {{BAFFINS LANE CHICHESTER, W SUSSEX PO19 1UD, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Yang, S (Corresponding Author), NOAA, NSW, NCEP, Climate Predict Ctr, 5200 Auth Rd, Camp Springs, MD 20746 USA.
   NOAA, NSW, NCEP, Climate Predict Ctr, Camp Springs, MD 20746 USA.
   Hong Kong Polytech Univ, Dept Land Surveying \& Geo Informat, Hong Kong, Hong Kong, Peoples R China.
   Chinese Acad Sci, Shanghai Astron Observ, Ctr Astrogeodynam Res, Shanghai 20030, Peoples R China.}},
DOI = {{10.1002/joc.760}},
ISSN = {{0899-8418}},
Keywords = {{surface temperature; Hong Kong; statistical analysis; regional climate
   variability; climatic teleconnection}},
Keywords-Plus = {{NINO SOUTHERN OSCILLATION; ASIAN SUMMER MONSOON; GENERAL-CIRCULATION
   MODELS; EL-NINO; TROPICAL PACIFIC; WINTER MONSOON; SNOW COVER; CLIMATE;
   ENSO; PREDICTABILITY}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
ResearcherID-Numbers = {{Ding, Xiaoli/K-4596-2013
   Yang, Song/B-4952-2009}},
ORCID-Numbers = {{Ding, Xiaoli/0000-0002-5733-3629
   }},
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Number-of-Cited-References = {{43}},
Times-Cited = {{15}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{9}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{562BK}},
Unique-ID = {{ISI:000176177400006}},
DA = {{2020-08-06}},
}

@article{ ISI:000175012300006,
Author = {Camberlin, P and Philippon, N},
Title = {{The East African March-May rainy season: Associated atmospheric dynamics
   and predictability over the 1968-97 period}},
Journal = {{JOURNAL OF CLIMATE}},
Year = {{2002}},
Volume = {{15}},
Number = {{9}},
Pages = {{1002-1019}},
Month = {{MAY}},
Abstract = {{This paper focuses on the East African March-May ``long rains. `'
   Particularly, it investigates the atmospheric patterns associated to the
   March-May rainfall anomalies, then proposes a seasonal prediction model.
   In a preliminary step, in order to define a regional rainfall index, a
   new form of extended principal component analysis is performed, aimed at
   capturing both the spatial and intraseasonal rainfall coherence. What
   emerges is that although the long rains exhibit a low temporal
   coherence, calling for a separation between the months of March-April
   and May in teleconnection studies, they show a relatively strong spatial
   consistency over the Kenya-Uganda inland region.
   From composite analyses performed using NCEP-NCAR reanalyzed atmospheric
   data, three major signals appear for that region. Two are during
   March-April involving ENSO and the latitudinal location of the ITCZ, and
   ENSO interactions with the northern extratropical dynamics (by way of
   cool surges toward the Tropics and upper-ridge-trough systems). The
   third signal is the Asian monsoon in May. As shown using a rainfall
   index for Ethiopia, the interactions with the midlatitudes get stronger
   when considering rainfall farther to the north.
   The predictability study identifies four February indexes, involving
   several scales and several atmospheric and oceanic parameters, to serve
   as predictors in linear multiple regression (LMR) and linear
   discriminant analysis (LDA) models. The predictors, selected by a
   stepwise procedure, depict both regional (energy gradient and zonal
   wind) and remote dynamics (ENSO and 500-hPa geopotential height over the
   Near East): they are consistent with the signals shown in the
   synchronous composites. The robustness of the LMR and LDA models is
   demonstrated by the high linear error in probability space (LEPS) scores
   (44\% for continuous variables and 51\% for categorical variables)
   obtained on cross-validated results.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Camberlin, P (Corresponding Author), Univ Bourgogne, Ctr Rech Climatol, CNRS, UMR 5080, BP 27877, F-21078 Dijon, France.
   Univ Bourgogne, Ctr Rech Climatol, CNRS, UMR 5080, F-21078 Dijon, France.}},
DOI = {{10.1175/1520-0442(2002)015<1002:TEAMMR>2.0.CO;2}},
ISSN = {{0894-8755}},
Keywords-Plus = {{EQUATORIAL INDIAN-OCEAN; SOUTHERN OSCILLATION; SURFACE TEMPERATURE;
   RAINFALL; VARIABILITY; CIRCULATION; PREDICTION; ANOMALIES; CONVECTION;
   FORECASTS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
ORCID-Numbers = {{Camberlin, Pierre/0000-0003-4896-2332}},
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Number-of-Cited-References = {{51}},
Times-Cited = {{149}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{32}},
Journal-ISO = {{J. Clim.}},
Doc-Delivery-Number = {{541XR}},
Unique-ID = {{ISI:000175012300006}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000175214900008,
Author = {Shang, F and Uber, JG and Polycarpou, MM},
Title = {{Particle backtracking algorithm for water distribution system analysis}},
Journal = {{JOURNAL OF ENVIRONMENTAL ENGINEERING-ASCE}},
Year = {{2002}},
Volume = {{128}},
Number = {{5}},
Pages = {{441-450}},
Month = {{MAY}},
Abstract = {{A novel input-output model of water quality in water distribution
   systems is presented as a particle (water parcel) backtracking algorithm
   (PBA). The PBA is a simpler and more efficient version of that described
   by Zierolf et al. in 1998 and is extended to allow storage tanks and
   multiple water sources and quality inputs. For simplicity the algorithm
   details are described for networks with a single water quality input at
   the water source, and the necessary extensions to allow multiple water
   sources and quality inputs are described separately. The PBA provides
   information that is not available using traditional simulation
   approaches: the various paths that water takes between a particular
   input source and output node, and their associated time delays and
   impact on output node water quality. Such information constitutes a
   complete description of the input-output behavior under typical
   assumptions of first-order chemical decay or production reactions. Thus
   the output behavior can be calculated for any source quality input, and
   the explicit mathematical form of the input-output behavior is useful
   information for certain applications such as feedback control. More
   generally, the PBA is a tool to understand flow-path-dependent water
   quality processes in distribution systems, since those paths and their
   characteristics are made explicit and thus available for analysis. The
   potential utility of input-output analysis is illustrated by several
   examples.}},
Publisher = {{ASCE-AMER SOC CIVIL ENGINEERS}},
Address = {{1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Shang, F (Corresponding Author), Univ Cincinnati, Dept Civil \& Environm Engn, POB 210071, Cincinnati, OH 45221 USA.
   Univ Cincinnati, Dept Civil \& Environm Engn, Cincinnati, OH 45221 USA.
   Univ Cincinnati, Dept Elect \& Comp Engn \& Comp Sci, Cincinnati, OH 45221 USA.}},
DOI = {{10.1061/(ASCE)0733-9372(2002)128:5(441)}},
ISSN = {{0733-9372}},
Keywords = {{water distribution; algorithm; water quality}},
Keywords-Plus = {{MODELING CONTAMINANT PROPAGATION; QUALITY MODELS; PIPE NETWORKS;
   TRANSPORT}},
Research-Areas = {{Engineering; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Engineering, Environmental; Engineering, Civil; Environmental Sciences}},
ResearcherID-Numbers = {{uber, james/E-7189-2010
   }},
ORCID-Numbers = {{Polycarpou, Marios/0000-0001-6495-9171}},
Cited-References = {{Boccelli DL, 1998, J WATER RES PL-ASCE, V124, P99, DOI 10.1061/(ASCE)0733-9496(1998)124:2(99).
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Number-of-Cited-References = {{20}},
Times-Cited = {{67}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{10}},
Journal-ISO = {{J. Environ. Eng.-ASCE}},
Doc-Delivery-Number = {{545JY}},
Unique-ID = {{ISI:000175214900008}},
DA = {{2020-08-06}},
}

@article{ ISI:000175777400005,
Author = {Hendy, IL and Kennett, JP and Roark, EB and Ingram, BL},
Title = {{Apparent synchroneity of submillennial scale climate events between
   Greenland and Santa Barbara Basin, California from 30-10 ka}},
Journal = {{QUATERNARY SCIENCE REVIEWS}},
Year = {{2002}},
Volume = {{21}},
Number = {{10}},
Pages = {{1167-1184}},
Month = {{MAY}},
Abstract = {{Evidence is presented from ODP Hole 893A, Santa Barbara Basin for
   possible synchroneity between Greenland and California Margin
   submillennial climate change records during Termination I and the Last
   Glacial Maximum (LGM). Planktonic foraminiferal isotope and faunal
   records are compared to the GISP2 delta(18)O records (Greenland) for the
   interval between 30 and 10 ka using a new chronology, based on 38
   planktonic C-14 dates. Apparent synchronous climatic events include:
   Interstadial (IS) events 2, 3 and 4; A broad warming trend between 21
   and 19 ka and a broad cooling trend between 19 and 17 ka; Bolling and
   Allerod warm episodes separated by the cooler Older Dryas event; Younger
   Dryas cool episode; and the Preboreal. The resulting tight correlation
   supports an intimate teleconnection between Santa Barbara Basin surface
   waters and Greenland air temperatures. Differences between Greenland and
   Santa Barbara Basin suggest that some regional variations were
   superimposed on the global pattern of climate change (e.g. the
   Pre-Bolling Warming). (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 = {{Hendy, IL (Corresponding Author), Univ British Columbia, Dept Earth \& Ocean Sci, Vancouver, BC V5Z 1M9, Canada.
   Univ British Columbia, Dept Earth \& Ocean Sci, Vancouver, BC V5Z 1M9, Canada.
   Univ Calif Santa Barbara, Dept Geol Sci, Santa Barbara, CA 93106 USA.
   Univ Calif Santa Barbara, Inst Marine Sci, Santa Barbara, CA 93106 USA.
   Univ Calif Berkeley, Dept Geog, Berkeley, CA 94720 USA.}},
DOI = {{10.1016/S0277-3791(01)00138-X}},
Article-Number = {{PII S0277-3791(01)00138-X}},
ISSN = {{0277-3791}},
Keywords-Plus = {{PLANKTONIC FORAMINIFERAL RESPONSE; NORTH-ATLANTIC; AGE CALIBRATION;
   CURRENT SYSTEM; C-14 AGES; ICE-CORE; 60 KYR; PACIFIC; PROGRAM;
   TEMPERATURES}},
Research-Areas = {{Physical Geography; Geology}},
Web-of-Science-Categories  = {{Geography, Physical; Geosciences, Multidisciplinary}},
ResearcherID-Numbers = {{Roark, Erin/D-4124-2013
   }},
ORCID-Numbers = {{Roark, Erin/0000-0002-1742-9642
   hendy, Ingrid/0000-0001-8305-6752}},
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Number-of-Cited-References = {{51}},
Times-Cited = {{129}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{19}},
Journal-ISO = {{Quat. Sci. Rev.}},
Doc-Delivery-Number = {{555DD}},
Unique-ID = {{ISI:000175777400005}},
DA = {{2020-08-06}},
}

@article{ ISI:000178886800016,
Author = {Jiang, JM and Mendelssohn, R and Schwing, F and Fraedrich, K},
Title = {{Coherency detection of multiscale abrupt changes in historic Nile flood
   levels}},
Journal = {{GEOPHYSICAL RESEARCH LETTERS}},
Year = {{2002}},
Volume = {{29}},
Number = {{8}},
Month = {{APR 15}},
Abstract = {{{[}1] A scanning algorithm based on the classical Student t-test is
   extended to detecting the presence and coherency of multiscale abrupt
   changes in two time series. It functions similarly to the Haar wavelet
   transform, but also provides thresholds of the statistical significance
   for testing change-points. The algorithm is applied to the historic
   series (AD 622-1469) of the maximum and minimum flood levels of the Nile
   River using the ``Table-Look-Up Test'' for correction of dependence in
   the series. The results reveal several abrupt changes, and separate
   wet/dry episodes on 30-160 year time-scales. Most of the episodes
   coincide with historic records of catastrophe in Egypt. Some changes
   correspond to changes in China and Europe, and to reconstructions of
   fish stocks off the west coast of North America, indicating that they
   are driven and linked by global teleconnection processes.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Jiang, JM (Corresponding Author), PFEL, 1352 Lighthouse Ave, Pacific Grove, CA 93950 USA.
   PFEL, Pacific Grove, CA 93950 USA.
   Univ Hamburg, Inst Meteorol, D-20146 Hamburg, Germany.
   Univ Hawaii, Joint Inst Marine \& Atmospher Res, Honolulu, HI 96822 USA.}},
DOI = {{10.1029/2002GL014826}},
Article-Number = {{1271}},
ISSN = {{0094-8276}},
EISSN = {{1944-8007}},
Keywords-Plus = {{RIVER; PRECIPITATION; FLUCTUATIONS; VARIABILITY; DISCHARGE; CHINA}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary}},
Author-Email = {{jiangjm93950@yahoo.com}},
ResearcherID-Numbers = {{Jiang, Jianmin/P-2553-2018}},
ORCID-Numbers = {{Jiang, Jianmin/0000-0002-5893-3028}},
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Number-of-Cited-References = {{18}},
Times-Cited = {{32}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{6}},
Journal-ISO = {{Geophys. Res. Lett.}},
Doc-Delivery-Number = {{609DF}},
Unique-ID = {{ISI:000178886800016}},
DA = {{2020-08-06}},
}

@article{ ISI:000178886800097,
Author = {Robinson, WA},
Title = {{On the midlatitude thermal response to tropical warmth}},
Journal = {{GEOPHYSICAL RESEARCH LETTERS}},
Year = {{2002}},
Volume = {{29}},
Number = {{8}},
Month = {{APR 15}},
Abstract = {{{[}1] Observations reveal a global-scale thermal response to El Nino and
   La Nina, featuring a band of tropospheric anomalies opposite in sign to
   those in the tropics. When an idealized dynamical model is forced by
   increased tropical heating, a similar response, with an enhanced
   subtropical thermal gradient, results. In the idealized model, this
   response is produced by changes in transient eddy fluxes of heat and
   momentum, and consequent changes in the mean meridional circulation. The
   similarity between the two-level model results and those from
   observations, as well as the zonally averaged behavior of a GCM,
   suggests that the same dynamics operate in nature. This represents a
   tropical-midlatitude teleconnection distinct from and in addition to
   that mediated by stationary Rossby wave trains.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Robinson, WA (Corresponding Author), Univ Illinois, Dept Atmospher Sci, 105 S Gregory Ave, Urbana, IL 61801 USA.
   Univ Illinois, Dept Atmospher Sci, Urbana, IL 61801 USA.}},
DOI = {{10.1029/2001GL014158}},
Article-Number = {{1190}},
ISSN = {{0094-8276}},
Keywords-Plus = {{VARIABILITY; ATMOSPHERE; MODEL; ENSO}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary}},
ResearcherID-Numbers = {{Robinson, Walter A/I-3782-2012}},
ORCID-Numbers = {{Robinson, Walter A/0000-0002-6669-7408}},
Cited-References = {{BEJARANO LF, 2001, THESIS U ILLINOIS UR.
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Number-of-Cited-References = {{9}},
Times-Cited = {{33}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{2}},
Journal-ISO = {{Geophys. Res. Lett.}},
Doc-Delivery-Number = {{609DF}},
Unique-ID = {{ISI:000178886800097}},
DA = {{2020-08-06}},
}

@article{ ISI:000178886800003,
Author = {Srivastava, AK and Rajeevan, M and Kulkarni, R},
Title = {{Teleconnection of OLR and SST anomalies over Atlantic Ocean with Indian
   summer monsoon}},
Journal = {{GEOPHYSICAL RESEARCH LETTERS}},
Year = {{2002}},
Volume = {{29}},
Number = {{8}},
Month = {{APR 15}},
Abstract = {{{[}1] The present study discusses the teleconnection between outgoing
   longwave radiation (OLR) and sea surface temperature (SST) anomalies
   over North Atlantic Ocean and the Indian Summer Monsoon Rainfall (ISMR).
   It has been found that OLR and SST anomalies over North Atlantic Ocean
   during the month of May, which are the manifestations of the North
   Atlantic Oscillation (NAO), show statistically significant correlations
   with ISMR. The index of area averaged OLR anomaly over North Atlantic
   Ocean has a correlation of -0.82 with ISMR for the period 1979-2000.
   These relationships are found to be stronger and stable during the
   recent years. Possible physical mechanisms of this teleconnection have
   also been discussed.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Srivastava, AK (Corresponding Author), Indian Meteorol Dept, Pune 411005, Maharashtra, India.
   Indian Meteorol Dept, Pune 411005, Maharashtra, India.}},
DOI = {{10.1029/2001GL013837}},
Article-Number = {{1284}},
ISSN = {{0094-8276}},
EISSN = {{1944-8007}},
Keywords-Plus = {{RAINFALL; PREDICTION; PREDICTABILITY; PROSPECTS}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary}},
ORCID-Numbers = {{RAJEEVAN, Madhavan/0000-0002-3000-2459}},
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Number-of-Cited-References = {{16}},
Times-Cited = {{30}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{7}},
Journal-ISO = {{Geophys. Res. Lett.}},
Doc-Delivery-Number = {{609DF}},
Unique-ID = {{ISI:000178886800003}},
DA = {{2020-08-06}},
}

@article{ ISI:000175961600002,
Author = {Lassen, S and Kuijpers, A and Kunzendorf, H and Lindgren, H and
   Heinemeier, J and Jansen, E and Knudsen, KL},
Title = {{Intermediate water signal leads surface water response during Northeast
   Atlantic deglaciation}},
Journal = {{GLOBAL AND PLANETARY CHANGE}},
Year = {{2002}},
Volume = {{32}},
Number = {{2-3}},
Pages = {{111-125}},
Month = {{APR 15}},
Abstract = {{Multi-proxy records of the high resolution core ENAM94-09 from the
   Faeroe region, NE Atlantic, were used to reconstruct paleoceanographic
   conditions at intermediate water depth during the Last Glacial Maximum
   (LGM, 19.3 - 16.7 ka BP) and the initial deglaciation period (16.7-- >
   14 ka BP), The methods comprise micropaleontological and geochemical
   analyses as well as measurements of stable isotopes and AMS C-14 dating
   for stratigraphic control. Owing to exceptionally high sedimentation
   rates of 90 cm/ka during the LGM and the initial deglaciation, it has
   been possible to resolve that the intermediate water masses in the
   Faeroe area lead the surface water deglaciation signal by 1.6 ka. The
   time span of this lead corresponds to the ``Southern Hemisphere Lead{''}
   recently reported from the Atlantic sector of the Southern Ocean
   {[}Paleoceanography, 14 (1999) 135]. It is suggested that an
   interhemispheric teleconnection at intermediate water depth played a
   crucial role during deglaciation and in the final ice surge events
   around the northern North Atlantic. (C) 2002 Elsevier Science B.V All
   rights reserved.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Lassen, S (Corresponding Author), Geol Survey Denmark \& Greenland, Throavej 8, DK-2400 Copenhagen NV, Denmark.
   Geol Survey Denmark \& Greenland, DK-2400 Copenhagen NV, Denmark.
   Riso Natl Lab, DK-4000 Roskilde, Denmark.
   Aarhus Univ, Inst Phys \& Astron, AMS 14C Dating Lab, DK-8000 Aarhus, Denmark.
   Univ Bergen, Dept Geol, N-5007 Bergen, Norway.
   Nansen Environm \& Remote Sensing Ctr, Bergen, Norway.
   Aarhus Univ, Dept Earth Sci, DK-8000 Aarhus C, Denmark.}},
DOI = {{10.1016/S0921-8181(01)00100-X}},
Article-Number = {{PII S0921-8181(01)00100-X}},
ISSN = {{0921-8181}},
Keywords = {{paleoceanography; intermediate water masses; deglaciation; North
   Atlantic}},
Keywords-Plus = {{LAST-GLACIAL-MAXIMUM; SOUTHERN-OCEAN; NORWEGIAN SEA; THERMOHALINE
   CIRCULATION; CLIMATE RECORDS; FAEROE MARGIN; RAPID CHANGES; NORDIC SEAS;
   DEEP-WATER; ICE}},
Research-Areas = {{Physical Geography; Geology}},
Web-of-Science-Categories  = {{Geography, Physical; Geosciences, Multidisciplinary}},
ResearcherID-Numbers = {{Knudsen, Karen Luise/A-4849-2012}},
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Number-of-Cited-References = {{60}},
Times-Cited = {{14}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Journal-ISO = {{Glob. Planet. Change}},
Doc-Delivery-Number = {{558JB}},
Unique-ID = {{ISI:000175961600002}},
DA = {{2020-08-06}},
}

@article{ ISI:000174324500002,
Author = {Douville, H},
Title = {{Influence of soil moisture on the Asian and African monsoons. Part II:
   Interannual variability}},
Journal = {{JOURNAL OF CLIMATE}},
Year = {{2002}},
Volume = {{15}},
Number = {{7}},
Pages = {{701-720}},
Month = {{APR}},
Abstract = {{The relevance of soil moisture (SM) for simulating the interannual
   climate variability has not been much investigated until recently. Much
   more attention has been paid on SST anomalies, especially in the Tropics
   where the El Nino-Southern Oscillation represents the main mode of
   variability. In the present study, ensembles of atmospheric integrations
   based on the Action de Recherche Petit Echelle Grande Echelle (ARPEGE)
   climate model have been performed for two summer seasons: 1987 and 1988,
   respectively. The aim is to compare the relative impacts of using
   realistic boundary conditions of SST and SM on the simulated variability
   of the Asian and African monsoons. Besides control runs with interactive
   SM, sensitivity tests have been done in which SM is relaxed toward a
   state-of-the-art SM climatology, either globally or regionally over the
   monsoon domain. The simulations indicate that the variations of the
   Asian monsoon between 1987 and 1988 are mainly driven by SST anomalies.
   This result might be explained by the strong teleconnection with the
   ENSO and by a weak SM-precipitation feedback over south Asia (Part I of
   the study). The influence of SM is more obvious over Africa. The model
   needs both realistic SST and SM boundary conditions to simulate the
   observed variability of the Sahelian monsoon rainfall. The positive
   impact of the SM relaxation is not only due to a local mechanism whereby
   larger surface evaporation leads to larger precipitation. The best
   results are obtained when the relaxation is applied globally, suggesting
   that remote SM impacts also contribute to the improved simulation of the
   precipitation variability. A relationship between the Sahelian rainfall
   anomalies and the meridional wind anomalies over North Africa points out
   the possible influence of the Northern Hemisphere midlatitudes. The
   comparison of the low- and midtropospheric anomalies in the various
   pairs of experiments indicates that SM anomalies can trigger stationary
   waves over Europe, and thereby promote the intrusion of dry air from the
   midlatitudes into the Tropics. The study therefore emphasizes the
   relevance of SM for seasonal climate predictions, at least in summer in
   the Northern Hemisphere, and shows a dynamical interaction between the
   Tropics and extratropics.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Douville, H (Corresponding Author), Meteo France, UDC, GMGEC, CNRM, 42 Ave Coriolis, F-31057 Toulouse, France.
   Meteo France, UDC, GMGEC, CNRM, F-31057 Toulouse, France.}},
DOI = {{10.1175/1520-0442(2002)015<0701:IOSMOT>2.0.CO;2}},
ISSN = {{0894-8755}},
Keywords-Plus = {{LAND-SURFACE PROCESSES; FRANCE CLIMATE MODEL; EURASIAN SNOW COVER;
   INDIAN MONSOON; METEO-FRANCE; SIMPLE PARAMETERIZATION; ATMOSPHERIC
   PREDICTION; GLOBAL PRECIPITATION; PACIFIC SST; ASSIMILATION}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
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Number-of-Cited-References = {{42}},
Times-Cited = {{92}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{5}},
Journal-ISO = {{J. Clim.}},
Doc-Delivery-Number = {{529WP}},
Unique-ID = {{ISI:000174324500002}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000178894000008,
Author = {Trenberth, KE and Stepaniak, DP and Caron, JM},
Title = {{Interannual variations in the atmospheric heat budget}},
Journal = {{JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES}},
Year = {{2002}},
Volume = {{107}},
Number = {{D7-8}},
Month = {{APR}},
Abstract = {{{[}1] Interannual variability of the atmospheric heat budget is explored
   via a new data set of the computed vertically integrated energy
   transports to examine relationships with other fields. A case study
   reveals very large monthly divergences of these transports regionally
   with El Nino-Southern Oscillation (ENSO) and the associated changes with
   the Pacific-North American teleconnection pattern, and with the North
   Atlantic Oscillation. In the tropical Pacific during large El Nino
   events the anomalous divergence of the atmospheric energy transports
   exceeds 50 W m(-2) over broad regions for several months. Examination of
   the corresponding top-of-the-atmosphere net radiative fluxes shows that
   it is primarily the surface fluxes from the ocean to the atmosphere that
   feed the divergent atmospheric transports. A systematic investigation of
   the covariability of sea surface temperatures (SSTs) and the divergence
   of atmospheric energy transport, using singular value decomposition
   analysis of the temporal covariance, reveals ENSO as dominant in the
   first two modes, explaining 62\% and 12\% of the covariance in the
   Pacific domain and explaining 39.5\% and 15.4\% globally for the first
   and second modes, respectively. The first mode is well represented by
   the time series for the SST index for Nino 3.4 region
   (170degreesW-120degreesW, 5degreesN-5degreesS). Regression analysis
   allows a more complete view of how the SSTs, outgoing longwave
   radiation, precipitation, diabatic heating, and atmospheric circulation
   respond with ENSO. The second mode indicates aspects of the systematic
   evolution of ENSO with time, with strong lead and lag correlations. It
   primarily reflects differences in the evolution of ENSO across the
   tropical Pacific from about the dateline to coastal South America. High
   SSTs associated with warm ENSO events are damped through surface heat
   fluxes into the atmosphere, which transports the energy into higher
   latitudes and throughout the tropics, contributing to loss of heat by
   the ocean, while the cold ENSO events correspond to a recharge phase as
   heat enters the ocean. Diabatic processes are clearly important within
   ENSO evolution.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Trenberth, KE (Corresponding Author), Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80305 USA.
   Natl Ctr Atmospher Res, Boulder, CO 80305 USA.}},
DOI = {{10.1029/2000JD000297}},
Article-Number = {{4066}},
ISSN = {{2169-897X}},
EISSN = {{2169-8996}},
Keywords = {{heat budget; ENSO; radiation budget; climate variability; sea surface
   temperatures; atmospheric energy}},
Keywords-Plus = {{EARTH RADIATION BUDGET; SEA-SURFACE TEMPERATURE; SOUTHERN OSCILLATION;
   HYDROLOGICAL CYCLE; GAUGE OBSERVATIONS; OCEAN; VARIABILITY; TRANSPORTS;
   PACIFIC; ENSO}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{trenbert@ncar.ucar.edu
   davestep@ucar.edu
   jcaron@ucar.edu}},
ResearcherID-Numbers = {{Trenberth, Kevin Edward/A-5683-2012}},
ORCID-Numbers = {{Trenberth, Kevin Edward/0000-0002-1445-1000}},
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DA = {{2020-08-06}},
}

@article{ ISI:000175609100005,
Author = {Kim, TJ and Ham, H and Boyce, DE},
Title = {{Economic impacts of transportation network changes: Implementation of a
   combined transportation network and input-output model}},
Journal = {{PAPERS IN REGIONAL SCIENCE}},
Year = {{2002}},
Volume = {{81}},
Number = {{2}},
Pages = {{223-246}},
Month = {{APR}},
Abstract = {{This article estimate,,, and evaluates the economic impacts from a
   catastrophic earthquake within regional and national contexts,
   emphasising the inter-industry relationship ill Conjunction with
   regional commodity flows and the assessment of seismic damages oil a
   transportation network. The analytical methods employed are twofold: a
   multi-regional input-output model and a regional commodity How model.
   Using the above analytical framework, the economic impacts from a
   catastrophic earthquake are estimated and evaluated based oil
   hypothetical scenarios of the event. by analysing the magnitude and
   extent of direct and indirect impacts. Furthermore, as possible
   extensions, the models developed here can be used as tools for strategic
   management of the recover and reconstruction efforts after the event.}},
Publisher = {{SPRINGER-VERLAG}},
Address = {{175 FIFTH AVE, NEW YORK, NY 10010 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Kim, TJ (Corresponding Author), Univ Illinois, Dept Urban \& Reg Planning, 111 TB Hall,611 E Lorado Tafa Dr, Champaign, IL 61820 USA.
   Univ Illinois, Dept Urban \& Reg Planning, Champaign, IL 61820 USA.
   URS Corp, St Petersburg 194223, Russia.
   Univ Illinois, Dept Civil \& Mat Engn, Chicago, IL 60607 USA.}},
DOI = {{10.1007/s101100100101}},
ISSN = {{1056-8190}},
Keywords = {{economic impacts of transportation changes; transportation network
   changes; input-output analysis; earthquake impacts on transportation
   costs}},
Keywords-Plus = {{ASSIGNMENT; EARTHQUAKE; DEMAND}},
Research-Areas = {{Business \& Economics; Environmental Sciences \& Ecology; Geography;
   Public Administration}},
Web-of-Science-Categories  = {{Economics; Environmental Studies; Geography; Regional \& Urban Planning}},
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Journal-ISO = {{

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