text:
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Number-of-Cited-References = {{64}},
Times-Cited = {{10}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{Clim. Dyn.}},
Doc-Delivery-Number = {{754QT}},
Unique-ID = {{ISI:000187342500006}},
DA = {{2020-08-06}},
}

@article{ ISI:000187844900003,
Author = {Dunkeloh, A and Jacobeit, J},
Title = {{Circulation dynamics of Mediterranean precipitation variability 1948-98}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2003}},
Volume = {{23}},
Number = {{15}},
Pages = {{1843-1866}},
Month = {{DEC}},
Abstract = {{Canonical correlation analysis is used to identify main coupled
   circulation-rainfall patterns and to relate recent variability and
   trends of Mediterranean precipitation to large-scale circulation
   dynamics. Analyses are based on geopotential heights (500 and 1000 hPa
   levels) for the North Atlantic-European area (National Centers for
   Environmental Prediction-National Center for Atmospheric Research
   reanalysis) and on highly resolved (0.5degrees x 0.5degrees) monthly
   rainfall grids (Climatic Research Unit, Norwich) selected for the
   Mediterranean area during the 1948-98 period. Combining monthly analyses
   with similar characteristics to seasonal samples yields winter
   (October-March), spring (April-May) and summer (June-September) types of
   coupled variability; a particular autumn type for the whole
   Mediterranean does not occur on the monthly time scale. Coupled patterns
   specifically linked to one or two seasons include an east Atlantic jet
   (EA-Jet) related pattern for summer and a Mediterranean meridional
   circulation (MMC) pattern for winter and spring. The most important
   pattern recurring with dynamical adjustments throughout the whole year
   reflects the seasonal cycle of the Mediterranean oscillation (MO), which
   is linked (with seasonal dependence) to the Northern Hemisphere
   teleconnection modes of the Arctic oscillation (AO) and North Atlantic
   oscillation (NAO). Winter rainfall trends of the recent decades marked
   by widespread decreases in the Mediterranean area and by opposite
   conditions in the southeastern part are linked to particular changes
   over time in several of the associated circulation patterns. Thus,
   different regional rainfall changes are integrated into an overall
   interrelation between Mediterranean rainfall patterns and large-scale
   atmospheric circulation dynamics. Copyright (C) 2003 Royal
   Meteorological Society.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Jacobeit, J (Corresponding Author), Univ Wurzburg, Inst Geog, Hubland, D-97074 Wurzburg, Germany.
   Univ Wurzburg, Inst Geog, D-97074 Wurzburg, Germany.}},
DOI = {{10.1002/joc.973}},
ISSN = {{0899-8418}},
EISSN = {{1097-0088}},
Keywords = {{large-scale atmospheric circulation; Mediterranean precipitation;
   canonical correlation analysis (CCA); seasonal types of coupled
   variability}},
Keywords-Plus = {{NORTH-ATLANTIC OSCILLATION; SEA-LEVEL PRESSURE; SPACE-TIME CLIMATE;
   ATMOSPHERIC CIRCULATION; RAINFALL CONDITIONS; EXTRATROPICAL CIRCULATION;
   OBJECTIVE CLIMATOLOGY; CANONICAL CORRELATION; SPATIAL-DISTRIBUTION;
   SEASONAL RAINFALL}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{jucundus.jacobeit@mail.uni-wuerzburg.de}},
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Number-of-Cited-References = {{75}},
Times-Cited = {{220}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{23}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{760QH}},
Unique-ID = {{ISI:000187844900003}},
DA = {{2020-08-06}},
}

@article{ ISI:000186684500006,
Author = {Gong, G and Entekhabi, D and Cohen, J},
Title = {{Modeled Northern Hemisphere winter climate response to realistic
   Siberian snow anomalies}},
Journal = {{JOURNAL OF CLIMATE}},
Year = {{2003}},
Volume = {{16}},
Number = {{23}},
Pages = {{3917-3931}},
Month = {{DEC}},
Abstract = {{Wintertime Northern Hemisphere climate variability is investigated using
   large-ensemble (20) numerical GCM simulations. Control simulations with
   climatological surface (land and ocean) conditions indicate that the
   Arctic Oscillation (AO) is an internal mode of the Northern Hemisphere
   atmosphere, and that it can be triggered through a myriad of
   perturbations. In this study the role of autumn land surface snow
   conditions is investigated. Satellite observations of historical
   autumn-winter snow cover are applied over Siberia as model boundary
   conditions for two snow-forced experiments, one using the highest
   observed autumn snow cover extent over Siberia (1976) and another using
   the lowest extent (1988). The ensemble-mean difference between the two
   snow-forced experiments is computed to evaluate the climatic response to
   Siberian snow conditions. Experiment results suggest that Siberian snow
   conditions exert a modulating influence on the predominant wintertime
   Northern Hemisphere (AO) mode. Furthermore, an atmospheric
   teleconnection pathway is identified, involving well-known wave mean
   flow interaction processes throughout the troposphere and stratosphere.
   Anomalously high Siberian snow increases local upward stationary wave
   flux activity, weakens the stratospheric polar vortex, and causes
   upper-troposphere stationary waves to refract poleward. These related
   stationary wave and mean flow anomalies propagate down through the
   troposphere via a positive feedback, which results in a
   downward-propagating negative AO anomaly during the winter season from
   the stratosphere to the surface. This pathway provides a physical
   explanation for how regional land surface snow anomalies can influence
   winter climate on a hemispheric scale. The results of this study may
   potentially lead to improved predictions of the winter AO mode, based on
   Siberian snow conditions during the preceding autumn.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Cohen, J (Corresponding Author), Atmospher \& Environm Res Inc, 131 Hartwell Ave, Lexington, MA 02421 USA.
   Atmospher \& Environm Res Inc, Lexington, MA 02421 USA.
   MIT, Dept Civil \& Environm Engn, Cambridge, MA 02139 USA.}},
DOI = {{10.1175/1520-0442(2003)016<3917:MNHWCR>2.0.CO;2}},
ISSN = {{0894-8755}},
EISSN = {{1520-0442}},
Keywords-Plus = {{GENERAL-CIRCULATION MODELS; ATMOSPHERIC CIRCULATION; ARCTIC OSCILLATION;
   TEMPERATURE ANOMALIES; GEOPOTENTIAL HEIGHT; STATIONARY WAVES; SUMMER
   MONSOON; ANNULAR MODES; COVER; VARIABILITY}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{jcohen@aer.com}},
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Number-of-Cited-References = {{52}},
Times-Cited = {{114}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{27}},
Journal-ISO = {{J. Clim.}},
Doc-Delivery-Number = {{745JA}},
Unique-ID = {{ISI:000186684500006}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000186406200002,
Author = {Gouirand, I and Moron, V},
Title = {{Variability of the impact of El Nino-southern oscillation on sea-level
   pressure anomalies over the North Atlantic in January to March
   (1874-1996)}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2003}},
Volume = {{23}},
Number = {{13}},
Pages = {{1549-1566}},
Month = {{NOV 15}},
Abstract = {{Sea-level pressure (SLP) anomalies over the North Atlantic and European
   (NAE) sector (25-70degreesN, 100degreesW-50degreesE) and over a larger
   domain encompassing the entire North Pacific domain are studied to
   demonstrate that SLP anomalies (SLPAs) during boreal winter
   (January-March) vary widely between years characterized by the same El
   Nino-southern oscillation (ENSO) phase. The typical cold ENSO signal
   tends to be more stable than the warm one during the 1874-1996 period.
   The typical cold ENSO pattern (e.g. positive SLPA south of 55degreesN
   across the North Atlantic and negative SLPA in the northern North
   Atlantic) is similar to the positive phase of: the North Atlantic
   oscillation (NAO) and occurs throughout the 20th century, except during
   the 1950s and 1960s when the basinwide westerlies are particularly slow.
   On the contrary, the typical warm ENSO pattern (e.g. positive SLPA from
   central Canada to Scandinavia and negative SLPA from the southeastern
   USA to central Europe, corresponding to the negative phase of the NAO)
   occurs mainly from 1930 to 1970. Another robust warm ENSO pattern is
   associated with a large positive (negative) SLPA between Newfoundland
   and western Europe (between Greenland and Scandinavia), and occurs
   mainly at the beginning and the end of the 20th century when the
   basinwide North Atlantic westerlies are strengthened. All these patterns
   stay statistically significant when the multi-decadal variability is
   removed from the North Atlantic SLPA. It is shown that the low-frequency
   variability of the north tropical Atlantic sea-surface temperature
   anomalies could exert a modulating effect on the ENSO teleconnection.
   NAE SLPAs tend to be strong during warm (cold) ENSO winters and
   consistent with a negative (positive) phase of the NAO when the north
   tropical Atlantic is anomalously warm (cold). Lastly, the magnitude of
   the SLPA patterns over the NAE sector appears poorly related to the
   intensity of sea-surface temperature anomalies in the central and
   eastern equatorial Pacific. Copyright (C) 2003 Royal Meteorological
   Society.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Moron, V (Corresponding Author), CEREGE, UMR 6635 CNRS, Europole Mediterraneen Arbois, BP 80, F-13545 Aix En Provence, France.
   CEREGE, UMR 6635 CNRS, Europole Mediterraneen Arbois, F-13545 Aix En Provence, France.
   Univ Aix Marseille 1, UFR Sci Geog \& Amenagement, Aix En Provence, France.}},
DOI = {{10.1002/joc.963}},
ISSN = {{0899-8418}},
EISSN = {{1097-0088}},
Keywords = {{El Nino-southern oscillation; surface atmospheric variability; North
   Atlantic; North Pacific; Europe; North America; boreal winter}},
Keywords-Plus = {{SURFACE-TEMPERATURE VARIABILITY; ATMOSPHERIC CIRCULATION; TROPICAL
   ATLANTIC; SEASONAL DEPENDENCE; GEOPOTENTIAL HEIGHT; CLIMATE VARIABILITY;
   ARCTIC OSCILLATION; INTERANNUAL SEESAW; CLUSTER-ANALYSIS; ICELANDIC LOWS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{moron@cerege.fr}},
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Number-of-Cited-References = {{70}},
Times-Cited = {{42}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{9}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{740MM}},
Unique-ID = {{ISI:000186406200002}},
DA = {{2020-08-06}},
}

@article{ ISI:000186406200006,
Author = {Karabork, MC and Kahya, E},
Title = {{The teleconnections between the extreme phases of the southern
   oscillation and precipitation patterns over Turkey}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2003}},
Volume = {{23}},
Number = {{13}},
Pages = {{1607-1625}},
Month = {{NOV 15}},
Abstract = {{Climatic links between monthly precipitation in Turkey and the El Nino
   and La Nina events using the empirical methodology of Ropelewski and
   Halpert are investigated. Coherent and significant precipitation
   responses to both the extreme phases of the southern oscillation (SO)
   are found in two core regions, namely western Anatolia (WA) and eastern
   Anatolia (EA). The geographical extent of the two regions, together with
   a defined signal season for each tropical event, are identified. For WA,
   the April-July wet period during El Nino events is the season when the
   teleconnection is strong and consistent. For EA, the February-June wet
   period during El Nino events is found to be the signal season having
   high rates of coherence and consistency. The occurrence of the signal
   season (the dry period of April-October) during La Nina events appears
   to be less significant in EA according to the hypergeometric model.
   Moreover, the annual cycle analysis implies somewhat of a modulation of
   regional precipitation in the WA and EA regions during the relevant
   signal season. From other perspectives, correlation results of seasonal
   precipitation and seasonal SO index values confirm the implied
   teleconnections, and the powers of line spectra corresponding to the El
   Nino occurrences supply some indications. The final aim of this work is
   to show some guidance for quantification of the SO-related precipitation
   teleconnections for the core regions by examining shifts in
   precipitation amounts at various percentiles as a function of the SO
   extremes. Overall, the results of this investigation are in good
   agreement with previous relevant studies (especially global-scale type)
   that try to understand complex global circulation dynamics. In
   conclusion, mid-latitude precipitation responses to the extreme phases
   of the SO are detectable in the climate of Turkey. Copyright (C) 2003
   Royal Meteorological Society.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Kahya, E (Corresponding Author), Istanbul Tech Univ, Dept Civil Engn, TR-80626 Istanbul, Turkey.
   Istanbul Tech Univ, Dept Civil Engn, TR-80626 Istanbul, Turkey.
   Dumlupinar Univ, Civil Engn Dept, Kutahya, Turkey.}},
DOI = {{10.1002/joc.958}},
ISSN = {{0899-8418}},
EISSN = {{1097-0088}},
Keywords = {{annual cycle; composite analysis; correlation analysis; El Nino; gamma
   distribution; harmonic analysis; La Nina; precipitation; southern
   oscillation; spectral analysis; teleconnection; Turkey}},
Keywords-Plus = {{UNITED-STATES STREAMFLOW; EL-NINO; RAINFALL VARIATIONS; EQUATORIAL
   PACIFIC; TEMPERATURE; VARIABILITY}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{kahyae@itu.edu.tr}},
ResearcherID-Numbers = {{KAHYA, ERCAN/C-3491-2012}},
ORCID-Numbers = {{KAHYA, ERCAN/0000-0001-9455-6664}},
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Number-of-Cited-References = {{32}},
Times-Cited = {{35}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{8}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{740MM}},
Unique-ID = {{ISI:000186406200006}},
DA = {{2020-08-06}},
}

@article{ ISI:000186406200007,
Author = {Morinaga, Y and Tian, SF and Shinoda, M},
Title = {{Winter snow anomaly and atmospheric circulation in Mongolia}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2003}},
Volume = {{23}},
Number = {{13}},
Pages = {{1627-1636}},
Month = {{NOV 15}},
Abstract = {{An observational study was conducted of winter snow anomaly in Mongolia
   and the associated atmospheric circulation. Monthly data of snow depth
   and temperature at 23 Mongolian stations from 1940 to 1992 were used for
   a statistical analysis. The Mongolian snow amount is fairly large in the
   northern mountainous regions and decreases to the south. Oil average,
   there is a substantial seasonal increase in snow depth during November
   and December. The deepest snow occurs in January, with an average depth
   of 3.4 cm averaged for all 23 stations. The correlation coefficients for
   November and December between the snow depth and temperature are
   significant and negative over wide areas.
   A principal component analysis was applied to interannual anomalies of
   January snow depth. The first mode (PC1) reveals widespread loadings of
   the same sign, and the second mode (PC2) shows a northeast-Southwest
   dipole pattern. A correlation analysis was employed to examine
   relationships between PC 1, PC2 and the preceding atmospheric
   circulation modes derived from a principal component analysis of the
   Northern Hemisphere 500 hPa geopotential heights. The PC1 time series
   for January is highly correlated with the North Atlantic oscillation for
   November, and the PC2 time series is significantly correlated with the
   Eurasian pattern for December. These relationships will provide a
   potential basis for long-range forecasts of mid-winter anomalous snow
   that leads to a significant loss of livestock (so-called white dzud) in
   Mongolia. Copyright (C) 2003 Royal Meteorological Society.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Morinaga, Y (Corresponding Author), Tokyo Metropolitan Univ, Dept Geog, 1-1 Minami Ohsawa, Hachioji, Tokyo 1920397, Japan.
   Tokyo Metropolitan Univ, Dept Geog, Hachioji, Tokyo 1920397, Japan.
   Meiji Univ, Tokyo 101, Japan.
   Inst Hydrol \& Meteorol, Ulaanbaatar, Mongolia.
   Nihon Univ, Dept Geosyst, Tokyo, Japan.
   Tokyo Metropolitan Univ, Tokyo 158, Japan.}},
DOI = {{10.1002/joc.961}},
ISSN = {{0899-8418}},
EISSN = {{1097-0088}},
Keywords = {{snow depth; climate change; Mongolia; dzud; Eurasia; NAO; EU;
   teleconnection}},
Keywords-Plus = {{SOIL-MOISTURE; COVER; PRECIPITATION; TEMPERATURE; VARIABILITY}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{yuki@isc.meiji.ac.jp
   shinoda@comp.metro-u.ac.jp}},
ResearcherID-Numbers = {{Shinoda, Masato/F-2830-2014}},
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Number-of-Cited-References = {{17}},
Times-Cited = {{50}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{27}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{740MM}},
Unique-ID = {{ISI:000186406200007}},
DA = {{2020-08-06}},
}

@article{ ISI:000186496700005,
Author = {Waliser, DE and Jin, K and Kang, IS and Stern, WF and Schubert, SD and
   Wu, MLC and Lau, KM and Lee, MI and Krishnamurthy, V and Kitoh, A and
   Meehl, GA and Galin, VY and Satyan, V and Mandke, SK and Wu, G and Liu,
   Y and Park, CK},
Title = {{AGCM simulations of intraseasonal variability associated with the Asian
   summer monsoon}},
Journal = {{CLIMATE DYNAMICS}},
Year = {{2003}},
Volume = {{21}},
Number = {{5-6}},
Pages = {{423-446}},
Month = {{NOV}},
Abstract = {{The intraseasonal variability associated with the Asian summer monsoon
   as simulated by a number of atmospheric general circulation models
   (AGCMs) are analyzed and assessed against observations. The model data
   comes from the Monsoon GCM Intercomparison project initiated by the
   CLIVAR/Asian-Australian Monsoon Panel. Ten GCM groups, i.e., the Center
   for Ocean-Land-Atmosphere Studies (COLA), Institute of Numerical
   Mathematics (DNM), Goddard Space Flight Center (GSFC), Geophysical Fluid
   Dynamics Laboratory (GFDL), Institute of Atmospheric Physics (IAP),
   Indian Institute of Tropical Meteorology (IITM), Meteorological Research
   Institute (MRI), National Center for Atmospheric Research (NCAR), Seoul
   National University (SNU), and the State University of New York (SUNY),
   participated in the intraseasonal component of the project. Each
   performed a set of 10 ensemble simulations for 1 September 1996-31
   August 1998 using the same observed weekly SST values but with different
   initial conditions. The focus is on the spatial and seasonal variations
   associated with intraseasonal variability (ISV) of rainfall, the
   structure of each model's principal mode of spatial-temporal variation
   of rainfall {[}i.e. their depiction of the Intraseasonal Oscillation
   (ISO)], the teleconnection patterns associated with each model's ISO,
   and the implications of the models' ISV on seasonal monsoon
   predictability. The results show that several of the models exhibit ISV
   levels at or above that found in observations with spatial patterns of
   ISV that resemble the observed pattern. This includes a number of rather
   detailed features, including the relative distribution of variability
   between ocean and land regions. In terms of the area-averaged variance,
   it is found that the fidelity of a model to represent NH summer versus
   winter ISV appears to be strongly linked. In addition, most models' ISO
   patterns do exhibit some form of northeastward propagation. However, the
   model ISO patterns are typically less coherent, lack sufficient eastward
   propagation, and have smaller zonal and meridional spatial scales than
   the observed patterns, and are often limited to one side or the other of
   the maritime continent. The most pervasive and problematic feature of
   the models' depiction of ISV and/or their ISO patterns is the overall
   lack of variability in the equatorial Indian Ocean. In some cases, this
   characteristic appears to result from some models forming double
   convergence zones about the equator rather than one region of strong
   convergence on the equator. This shortcoming results in a poor
   representation of the local rainfall pattern and also significantly
   influences the models' representations of the global-scale
   teleconnection patterns associated with the ISO. Finally, analysis of
   the model ensemble shows a positive relationship between the strength of
   a model's ISV of rainfall and its intra-ensemble variability of seasonal
   monsoon rainfall. The implications of this latter relation are discussed
   in the context of seasonal monsoon predictability.}},
Publisher = {{SPRINGER}},
Address = {{ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES}},
Type = {{Review}},
Language = {{English}},
Affiliation = {{Waliser, DE (Corresponding Author), SUNY Stony Brook, Marine Sci Res Ctr, Stony Brook, NY 11794 USA.
   SUNY Stony Brook, Marine Sci Res Ctr, Stony Brook, NY 11794 USA.
   Seoul Natl Univ, Sch Earth \& Environm Sci, Seoul, South Korea.
   Princeton Univ, Geophys Fluid Dynam Lab, Princeton, NJ 08544 USA.
   NASA, Goddard Space Flight Ctr, Data Assimilat Off, Greenbelt, MD 20771 USA.
   NASA, Goddard Space Flight Ctr, Climate \& Radiat Branch, Greenbelt, MD 20771 USA.
   Ctr Ocean Land Atmosphere Studies, Calverton, MD USA.
   Meteorol Res Inst, Tsukuba, Ibaraki 305, Japan.
   Natl Ctr Atmospher Res, Boulder, CO 80307 USA.
   Russian Acad Sci, Inst Numer Math, Moscow, Russia.
   Indian Inst Trop Meteorol, Pune, Maharashtra, India.
   LASG, Inst Atmospher Phys, Beijing, Peoples R China.
   Korea Meteorol Adm, Climate Predict Div, Seoul, South Korea.}},
DOI = {{10.1007/s00382-003-0337-1}},
ISSN = {{0930-7575}},
EISSN = {{1432-0894}},
Keywords-Plus = {{MADDEN-JULIAN OSCILLATION; GENERAL-CIRCULATION MODEL; INDIAN MONSOON;
   INTERANNUAL VARIABILITY; SURFACE-TEMPERATURE; TROPICAL CONVECTION;
   ARAKAWA-SCHUBERT; SOLAR-RADIATION; PRINCIPAL MODES; CLIMATE MODEL}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{duane.waliser@sunysb.edu}},
ResearcherID-Numbers = {{Lee, Myong-In/F-3578-2010
   안, 민섭/D-9972-2015
   Lau, William K/E-1510-2012
   Stern, William/W-9763-2019
   Kitoh, Akio/F-1765-2010}},
ORCID-Numbers = {{Lee, Myong-In/0000-0001-8983-8624
   안, 민섭/0000-0002-3308-7793
   Lau, William K/0000-0002-3587-3691
   }},
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Number-of-Cited-References = {{113}},
Times-Cited = {{183}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{31}},
Journal-ISO = {{Clim. Dyn.}},
Doc-Delivery-Number = {{742CA}},
Unique-ID = {{ISI:000186496700005}},
DA = {{2020-08-06}},
}

@article{ ISI:000185916300001,
Author = {Yu, ZC and Campbell, ID and Campbell, C and Vitt, DH and Bond, GC and
   Apps, MJ},
Title = {{Carbon sequestration in western Canadian peat highly sensitive to
   Holocene wet-dry climate cycles at millennial timescales}},
Journal = {{HOLOCENE}},
Year = {{2003}},
Volume = {{13}},
Number = {{6}},
Pages = {{801-808}},
Month = {{NOV}},
Abstract = {{A high-resolution fen peat record and 79 basal peat dates from
   paludified peatlands in continental western Canada provide evidence for
   cyclic change in moisture conditions and in peat carbon accumulation.
   The ash-free bulk density, a proxy for degree of peat decomposition and
   thus moisture conditions, shows periodicities at both millennial ( from
   1500 to 2190 yr, with a mean of 1785 yr) and century scales ( 386 yr and
   667 yr). Wet periods of 200 - 600 yr in duration, especially at similar
   to 6900, 5500 and 4000 cal. BP, correlate with rapid peat accumulation,
   new peatland initiation and declines in the rate of increase of
   atmospheric CO2 concentrations. The wet periods in western North America
   are coeval with warm periods in the North Atlantic, a phasing
   relationship that has been documented in other published palaeorecords
   for the glacial period and late Holocene, probably in response to
   variations in solar activity. These results indicate a strong connection
   between climate and the global carbon cycle at the millennial scale,
   mediated in part by peatland dynamics. This is the first demonstration
   that peatland carbon sequestration rates are highly sensitive even to
   minor climatic fluctuations, which are too small to produce detectable
   changes in major species in the peatland. That global atmospheric CO2
   concentrations have in the past responded to these changes in peatland
   dynamics implies a strong potential for peatlands to be a major player
   in affecting future global change.}},
Publisher = {{ARNOLD, HODDER HEADLINE PLC}},
Address = {{338 EUSTON ROAD, LONDON NW1 3BH, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Yu, ZC (Corresponding Author), Lehigh Univ, Dept Earth \& Environm Sci, 31 Williams Dr, Bethlehem, PA 18015 USA.
   Lehigh Univ, Dept Earth \& Environm Sci, Bethlehem, PA 18015 USA.
   Geol Survey Canada, Continental Geosci Div, Ottawa, ON K1A 0E8, Canada.
   Canadian Forestry Serv, Sci Branch, Ottawa, ON K1A 0E4, Canada.
   So Illinois Univ, Dept Plant Biol, Carbondale, IL 62901 USA.
   Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY 10964 USA.
   Forestry Canada, Pacific Forestry Ctr, Canadian Forestry Serv, Victoria, BC V8Z 1M5, Canada.}},
DOI = {{10.1191/0959683603hl667ft}},
ISSN = {{0959-6836}},
Keywords = {{fen peat; climate cycle; millennial scale; carbon sequestration;
   sensitivity; teleconnection; Scorpidium scorpioides; Holocene; Canada}},
Keywords-Plus = {{GENERAL-CIRCULATION-MODEL; NORTH-ATLANTIC CLIMATE; LAST GLACIAL PERIOD;
   GREAT-PLAINS; SCORPIDIUM-SCORPIOIDES; ICE CORE; PEATLANDS; ANTARCTICA;
   HEMISPHERE; LAKE}},
Research-Areas = {{Physical Geography; Geology}},
Web-of-Science-Categories  = {{Geography, Physical; Geosciences, Multidisciplinary}},
ResearcherID-Numbers = {{campbell, ian/C-5291-2011
   Yu, Zicheng/D-4108-2012
   }},
ORCID-Numbers = {{Campbell, Ian/0000-0002-9639-1995}},
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