text:
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Number-of-Cited-References = {{37}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{1}},
Journal-ISO = {{J. Contemp. Wat. Res. Educ.}},
Doc-Delivery-Number = {{GH6UX}},
Unique-ID = {{ISI:000433580700008}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000432461500003,
Author = {Buturac, Goran},
Title = {{PERSPECTIVE ON DEVELOPMENT OF FOOD AND BEVERAGE INDUSTRY IN THE
   INTERNATIONAL ENVIRONMENT: THE CASE OF CROATIA}},
Journal = {{EKONOMSKI PREGLED}},
Year = {{2018}},
Volume = {{69}},
Number = {{2}},
Pages = {{131-162}},
Month = {{APR}},
Abstract = {{The aim of this paper is to get new insight into the perspectives of the
   Croatian food and beverage industry development in the international
   environment. Niethodology of the paper is based on applying input-output
   model and standardized indicators of export competitiveness.
   Comparison of gross value added, productivity and factor income with EU
   countries points to Croatia's lagging in relation to EU-15 countries. At
   the same time, in comparison with the new EA I member states (transition
   countries), the Croatian food industry manages to maintain competitive
   production. Among analysed markets, Croatian food industry has the best
   position on the CEPTA market. At the same time, comparative advantages
   and competitive positions in relatively rapidly growing markets are
   relatively weak. A growth in global consumption of foodstuffs opens up
   space for diversification of the export structure and strengthening of
   competitiveness in the less represented markets. Perspectives on the
   development of the food and beverage industry in Croatia are being
   recognized in the continuation growth of export orientation, greater
   representation in fast-growing markets, increased food consumption,
   investment in innovation and development of new products, and
   investments in the development of new markets.}},
Publisher = {{HRVATSKO DRUSTVO EKONOMISTA}},
Address = {{TRG J F KENNEDYA 6, ZAGREB, 10000, CROATIA}},
Type = {{Article}},
Language = {{Croatian}},
Affiliation = {{Buturac, G (Corresponding Author), Ekon Inst, Zagreb, Croatia.
   Buturac, Goran, Ekon Inst, Zagreb, Croatia.}},
DOI = {{10.32910/ep.69.2.3}},
ISSN = {{0424-7558}},
EISSN = {{1848-9494}},
Keywords = {{food and beverages industry; competitiveness; export; input-output
   analysis; Croatia}},
Research-Areas = {{Business \& Economics}},
Web-of-Science-Categories  = {{Economics}},
Author-Email = {{gbuturac@eizg.hr}},
ResearcherID-Numbers = {{Buturac, Goran/Y-6211-2019}},
ORCID-Numbers = {{Buturac, Goran/0000-0002-0903-4587}},
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Number-of-Cited-References = {{27}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{Ekon. Pregl.}},
Doc-Delivery-Number = {{GG1QL}},
Unique-ID = {{ISI:000432461500003}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000431999600073,
Author = {Barrucand, Mariana G. and Zitto, Miguel E. and Piotrkowski, Rosa and
   Canziani, Pablo and O'Neill, Alan},
Title = {{Historical SAM index time series: linear and nonlinear analysis}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2018}},
Volume = {{38}},
Number = {{1}},
Pages = {{E1091-E1106}},
Month = {{APR}},
Abstract = {{A statistical analysis of 100-year historic Southern Annular Mode (SAM)
   time series is carried out, for a set of indices calculated by different
   methods, in view to understanding their value as simple indicators of
   climate variability and of the physical processes involved, particularly
   for the early part of the 20th century. Historic SAM time series
   available in the literature are analysed together with ones calculated
   using the 20th-century reanalysis. A preliminary analysis and comparison
   is carried out using standard time and space correlations. Distinct
   differences are observed in the linear relations between the SAM index
   time series before and after 1950s. A detailed study is carried out
   using wavelet transform (WT) analysis, in order to better determine the
   spectral nature and non-stationarity of the timeseries. The WT spectra
   reveal an aperiodic, non-stationary evolution in all cases, with
   differences in the spectral signature of the various SAM indices during
   the 20th century. Preferred oscillation periods mainly appear between 2
   and 20 years. Important differences between the SAM indices arise from
   different behaviour on the interannual time scale even in more recent
   years, as well as non-stationarity and phase differences on longer time
   scales. A wavelet coherency (WTC) analysis between the
   20th-century-reanalysis-derived SAM time series shows that differences
   may also arise for indices calculated from the same data source,
   particularly during the earlier part of the sample. WTC differences
   appear at times of perturbed El Nino-Southern Oscillation (ENSO) events.
   Results using linear as well as a mutual information analysis suggest
   links between SAM, ENSO, and Pacific-South American patterns of
   variability, which may depend on the SAM time series definition. Such
   behaviour could be due to a combination of factors including the
   geographic coverage of the SAM calculation methods and data quality, as
   well as ENSO-SAM relationships.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Barrucand, MG (Corresponding Author), Univ Buenos Aires, CONICET, DCAO, FCEN, Ciudad Univ Pabellon 2,2do Piso, RA-1428 Buenos Aires, DF, Argentina.
   Barrucand, Mariana G., Univ Buenos Aires, CONICET, DCAO, FCEN, Ciudad Univ Pabellon 2,2do Piso, RA-1428 Buenos Aires, DF, Argentina.
   Zitto, Miguel E.; Piotrkowski, Rosa, Univ Buenos Aires, FIUBA, Fac Ingn, Buenos Aires, DF, Argentina.
   Piotrkowski, Rosa, Univ Nacl San Martin, ECyT, San Martin, Buenos Aires, Argentina.
   Canziani, Pablo, Univ Tecnol Nacl, UIDI, FRBA, CONICET, Buenos Aires, DF, Argentina.
   O'Neill, Alan, Univ Reading, Dept Meteorol, Reading, Berks, England.}},
DOI = {{10.1002/joc.5435}},
ISSN = {{0899-8418}},
EISSN = {{1097-0088}},
Keywords = {{SAM; non-stationary time series; nonlinear time series; wavelet
   coherence; mutual information; 20th-century reanalysis}},
Keywords-Plus = {{SOUTHERN ANNULAR MODE; EXTRATROPICAL CIRCULATION; PRESSURE DATA; PART I;
   HEMISPHERE; VARIABILITY; TELECONNECTION; IMPACT}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{mbarrucand@yahoo.com.ar}},
ORCID-Numbers = {{Piotrkowski, Rosa/0000-0002-6004-5679}},
Funding-Acknowledgement = {{University of Buenos AiresUniversity of Buenos Aires
   {[}20020130100263BA, 20020130200142BA, 20020120100340 A]; PIP
   CONICETConsejo Nacional de Investigaciones Cientificas y Tecnicas
   (CONICET) {[}PIP 11220150100137CO]; PICTANPCyT {[}2012-2927]; PIDDEF
   {[}26/14]}},
Funding-Text = {{This research has been funded by the projects 20020130100263BA,
   20020130200142BA (UBACyT 2014-2017) and 20020120100340 A (UBACyT
   2013-2016) from the University of Buenos Aires, PIP 11220150100137CO
   (PIP CONICET 2015-2017), PICT 2012-2927 and PIDDEF 26/14.}},
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Number-of-Cited-References = {{40}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{6}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{GF5IJ}},
Unique-ID = {{ISI:000431999600073}},
DA = {{2020-08-06}},
}

@article{ ISI:000431999600012,
Author = {Cherchi, Annalisa and Kucharski, Fred and Colleoni, Florence},
Title = {{Remote SST forcing on Indian summer monsoon extreme years in AGCM
   experiments}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2018}},
Volume = {{38}},
Number = {{1}},
Pages = {{E160-E177}},
Month = {{APR}},
Abstract = {{An ensemble of AMIP-type experiments with prescribed interannual varying
   sea surface temperature (SST) and different initial conditions is used
   to study the relationship between Indian summer monsoon extreme
   conditions and the El Nino Southern Oscillation (ENSO). Based on the
   selection of extreme monsoon rainfall years `In Phase' or `Out of Phase'
   with respect to the observations, this study identifies specific SST and
   atmospheric circulation patterns responsible for the remote forcing on
   the monsoon. A clear common characteristic of externally forced extreme
   monsoon years is identified with an ENSO pattern having summer SST
   anomalies of the same sign in the tropical Pacific Ocean but also in the
   Indian and Atlantic tropical sectors. This finding assumes that the SST
   pattern in summer is enough to modulate the Walker circulation and
   consequently to suppress or enhance convection over South Asia, even if
   it does not evolve into an ENSO event. The analysis of the `Out of
   Phase' cases (i.e. when the model reproduces a weak monsoon instead of a
   strong one, or the reverse) reveals how the model wrongly responds to
   the SST forcing, ignoring other processes like ocean-atmosphere
   coupling. Once ENSO is linearly removed the main source of remote
   forcing for strong (weak) monsoon characteristics over India is the
   tropical Atlantic with negative (positive) anomalies, and with weak
   anomalies of the same sign located in the south Indian Ocean. The
   results of the role of the forcing from the tropical Atlantic are also
   confirmed by a set of atmospheric model experiments where interannually
   varying SST is prescribed only in the Atlantic Ocean, while the rest of
   the SST is climatological.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Cherchi, A (Corresponding Author), Ist Nazl Geofis \& Vulcanol, Fdn Ctr Euro Mediterraneo Cambiamenti Climatici, Via Franceschini 31, I-40128 Bologna, Italy.
   Cherchi, Annalisa; Colleoni, Florence, Fdn Ctr Euro Mediterraneo Cambiamenti Climatici, Bologna, Italy.
   Cherchi, Annalisa, Ist Nazl Geofis \& Vulcanol, Bologna, Italy.
   Kucharski, Fred, Abdus Salam Int Ctr Theoret Phys, Trieste, Italy.}},
DOI = {{10.1002/joc.5360}},
ISSN = {{0899-8418}},
EISSN = {{1097-0088}},
Keywords = {{ISM interannual variability; ENSO-monsoon teleconnection; remote
   forcing; AMIP experiments}},
Keywords-Plus = {{EL-NINO/SOUTHERN OSCILLATION; SEA-SURFACE TEMPERATURES; INTERANNUAL
   VARIABILITY; TROPICAL ATLANTIC; ENSO RELATIONSHIP; COUPLED MODEL; OCEAN
   DIPOLE; POTENTIAL PREDICTABILITY; EQUATORIAL ATLANTIC; PACIFIC CLIMATE}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{annalisa.cherchi@ingv.it}},
ResearcherID-Numbers = {{Cherchi, Annalisa/Y-6684-2019
   }},
ORCID-Numbers = {{Cherchi, Annalisa/0000-0002-0178-9264
   Colleoni, Florence/0000-0003-4582-812X}},
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Number-of-Cited-References = {{86}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{5}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{GF5IJ}},
Unique-ID = {{ISI:000431999600012}},
DA = {{2020-08-06}},
}

@article{ ISI:000431999600039,
Author = {Latif, M. and Hannachi, A. and Syed, F. S.},
Title = {{Analysis of rainfall trends over Indo-Pakistan summer monsoon and
   related dynamics based on CMIP5 climate model simulations}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2018}},
Volume = {{38}},
Number = {{1}},
Pages = {{E577-E595}},
Month = {{APR}},
Abstract = {{Understanding the effects of climate change and global warming on the
   South Asian summer monsoon rainfall trend is critically important for
   millions of inhabitants of this region. This study investigates seasonal
   (June-September) rainfall trend over the Indo-Pakistan subcontinent by
   using 36 climate model outputs from the World Climate Research
   Programme's Coupled Model Inter-comparison Project Phase 5. The
   historical (1951-2005) and future (2006-2100) simulations under two
   representative concentration pathways (RCPs), RCP4.5 and RCP8.5, are
   analysed for this purpose. Model reproducibility is evaluated based on
   spatial correlation of seasonal rainfall and vertically integrated
   meridional moisture transport between simulated and observed fields. It
   is found that the majority of models shows reasonable skill in capturing
   the observed pattern of rainfall climatology and trend over the
   subcontinent. Our results showed that the models are more skilful in
   simulating seasonal mean moisture transport than trend over the Arabian
   Sea and Bay of Bengal. Of the 36 models analysed, only two models
   HadGEM2-AO and CNRM-CM5 closely approximate both the climatology and
   trend based on statistical performance metrics. Our results suggest that
   the strengthening of northwards moisture transport over the Arabian Sea
   and Bay of Bengal is a likely reason for the increasing rainfall trend
   over Indo-Pakistan subcontinent in a warmer climate. The RCP8.5
   indicates marked increase in both rainfall and moisture transport trends
   compared to RCP4.5 forcing scenario.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Latif, M (Corresponding Author), COMSATS Inst Informat Technol CIIT, Dept Meteorol, Pk Rd, Islamabad 45550, Pakistan.
   Latif, M., COMSATS Inst Informat Technol, Dept Meteorol, Islamabad, Pakistan.
   Hannachi, A., Stockholm Univ, Dept Meteorol, Stockholm, Sweden.
   Syed, F. S., Pakistan Meteorol Dept, Inst Meteorol \& Geophys, Karachi, Pakistan.}},
DOI = {{10.1002/joc.5391}},
ISSN = {{0899-8418}},
EISSN = {{1097-0088}},
Keywords = {{CMIP5; rainfall trends; moisture transport; monsoon; South Asia;
   dynamics}},
Keywords-Plus = {{INDIAN-OCEAN; FUTURE CHANGE; VARIABILITY; PRECIPITATION; TELECONNECTION;
   PROJECTIONS; SCENARIOS; RECORD; ONSET}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{muhammad\_latif@comsats.edu.pk}},
Funding-Acknowledgement = {{Higher Education Commission (HEC) of PakistanHigher Education Commission
   of Pakistan}},
Funding-Text = {{This study was supported by the Higher Education Commission (HEC) of
   Pakistan under International Research Support Initiative Program (IRSIP)
   program. The lead author is thankful to Department of Meteorology,
   Stockholm University, Sweden for inviting as visiting scholar to carry
   out this study. We acknowledge the World Climate Research Programme's
   Working Group on Coupled Modelling, which is responsible for CMIP, and
   we thank the climate modelling groups (listed in Table 1 of this
   article) for producing and making available their model output. For CMIP
   the US Department of Energy's Program for Climate Model Diagnosis and
   Intercomparison provides coordinating support and led development of
   software infrastructure in partnership with the Global Organization for
   Earth System Science Portals.}},
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Number-of-Cited-References = {{81}},
Times-Cited = {{10}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{6}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{GF5IJ}},
Unique-ID = {{ISI:000431999600039}},
DA = {{2020-08-06}},
}

@article{ ISI:000431999600048,
Author = {Maleski, Jerome J. and Martinez, Christopher J.},
Title = {{Coupled impacts of ENSO AMO and PDO on temperature and precipitation in
   the Alabama-Coosa-Tallapoosa and Apalachicola-Chattahoochee-Flint river
   basins}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2018}},
Volume = {{38}},
Number = {{1}},
Pages = {{E717-E728}},
Month = {{APR}},
Abstract = {{Large-scale patterns of ocean surface temperature can influence weather
   across the globe and understanding their interaction with the local
   climate can improve seasonal forecasting of local temperature and
   precipitation. Here we focus on the combined interactions of the El
   Nino-Southern Oscillation (ENSO), the Atlantic Multidecadal Oscillation
   (AMO) and the Pacific Decadal Oscillation (PDO) in the
   Alabama-Coosa-Tallapoosa (ACT) and Apalachicola-Chattahoochee-Flint
   (ACF) river basins of the southeastern United States. Nonparametric
   ranks-sum tests of individual and coupled impacts of these
   teleconnections on the annual study area climate (1895-2009) found
   significant impacts. A positive AMO phase was associated with decreased
   precipitation and increased mean temperature while the negative AMO
   phase was associated with increased precipitation and decreased
   temperature. While an El Nino event generally increases regional
   precipitation, El Nino during a positive AMO or PDO phase resulted in
   precipitation below the long-term average in our study area. Because of
   many instances of El Nino being shared between AMO and PDO phase, the
   effects of the PDO and AMO on El Nino could not be distinguished. La
   Nina was associated with negative precipitation and increased
   temperature. The effects of La Nina on the temperature and precipitation
   anomaly were significantly increased during positive AMO and PDO phases.
   The coupled impacts of the aforementioned teleconnections demonstrate
   the necessity of including the effects of the AMO and the PDO when using
   ENSO-based forecasts. The significant shifts on the effects of
   teleconnections on area climate from AMO negative phase to AMO positive
   phase cast doubt on seasonal prediction for the study area based on the
   recent history (i.e. the use of the period 1950-2000 to predict seasonal
   climate since 2000).}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Maleski, JJ (Corresponding Author), USDA ARS, Southeast Watershed Res Lab, 2375 Rainwater Rd,POB 748, Tifton, GA 31794 USA.
   Maleski, Jerome J., USDA ARS, Southeast Watershed Res Lab, 2375 Rainwater Rd,POB 748, Tifton, GA 31794 USA.
   Martinez, Christopher J., Univ Florida, Inst Food \& Agr Sci, Dept Agr \& Biol Engn, Gainesville, FL 32611 USA.}},
DOI = {{10.1002/joc.5401}},
ISSN = {{0899-8418}},
EISSN = {{1097-0088}},
Keywords = {{ENSO; AMO; PDO; teleconnection; seasonal climate; local scale}},
Keywords-Plus = {{UNITED-STATES; SOUTHERN-OSCILLATION; NORTH-AMERICA; EL-NINO;
   VARIABILITY; ATLANTIC; PACIFIC; RAINFALL; DROUGHT; ANOMALIES}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{jerome.maleski@ars.usda.gov}},
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Number-of-Cited-References = {{37}},
Times-Cited = {{5}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{8}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{GF5IJ}},
Unique-ID = {{ISI:000431999600048}},
DA = {{2020-08-06}},
}

@article{ ISI:000431999600057,
Author = {Pillai, Prasanth A. and Rao, Suryachandra A. and Ramu, Dandi A. and
   Pradhan, Maheswar and George, Gibies},
Title = {{Seasonal prediction skill of Indian summer monsoon rainfall in NMME
   models and monsoon mission CFSv2}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2018}},
Volume = {{38}},
Number = {{1}},
Pages = {{E847-E861}},
Month = {{APR}},
Abstract = {{The present study compares the Indian summer monsoon rainfall (ISMR)
   prediction skill of monsoon mission climate forecast system version 2
   (CFSv2-T382) with that of the seasonal prediction models participating
   in US National Multi-Model Ensemble (NMME) project. In general, the
   present-day models simulate cooler than observed sea surface temperature
   (SST) in majority of the Tropics and extratropics. The model rainfall
   has strong dry bias over major continental regions and wet bias over
   tropical oceans. Meanwhile, prediction of the boundary forcing such as
   SST is essential for driving the atmospheric response through
   teleconnections. It is noted that even though the prediction skill for
   SST boundary forcings like El Nino-Southern Oscillation (ENSO) and
   Indian Ocean Dipole (IOD) is not at the best in CFSv2-T382 compared to a
   few of the NMME models, it shows better skill for ISMR hindcasts
   initialized at 3-month lead time (February IC). This may be attributed
   to the better teleconnection pattern of ENSO and IOD in CFSv2-T382,
   which has minimum biases in equatorial Indo-Pacific region. It also has
   a better ISMR-SST teleconnections in the Tropics with a pattern
   correlation of around 0.6. In many of the NMME models, the better
   prediction skill of the inter-annual variability of SST indices is not
   transformed into the improvement of ISMR skill through teleconnections.
   It is therefore concluded that having good prediction skill for major
   SST boundary forcings is not sufficient, but capturing the appropriate
   teleconnections of these SST boundary forcings in the model is critical
   for the better prediction of ISMR. The study points out that the
   present-day seasonal prediction systems need to be improved in their
   simulation of tropical SST-monsoon teleconnections, which can improve
   the seasonal prediction skill of Indian summer monsoon further. One area
   where the immediate focus is required is the Indian Ocean SST and ISMR
   teleconnection.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Rao, SA (Corresponding Author), Indian Inst Trop Meteorol, Dr HomiBhaba Rd, Pune 411008, Maharashtra, India.
   Pillai, Prasanth A.; Rao, Suryachandra A.; Ramu, Dandi A.; Pradhan, Maheswar; George, Gibies, Indian Inst Trop Meteorol, Monsoon Miss Program, Pune, Maharashtra, India.}},
DOI = {{10.1002/joc.5413}},
ISSN = {{0899-8418}},
EISSN = {{1097-0088}},
Keywords = {{seasonal prediction; ISMR skill; ENSO; IOD; teleconnections; NMME
   project}},
Keywords-Plus = {{CLIMATE FORECAST SYSTEM; TO-INTERANNUAL PREDICTION; OCEAN DIPOLE;
   VERSION 2; ENSO; VARIABILITY; SIMULATION; TELECONNECTIONS; DYNAMICS;
   IMPACT}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{surya@tropmet.res.in}},
ResearcherID-Numbers = {{george, gibies/D-9727-2011
   }},
ORCID-Numbers = {{george, gibies/0000-0002-8120-0877
   Pillai, Prasanth/0000-0002-8159-6066
   Anguluri, Suryachandra Rao/0000-0001-6460-5672}},
Funding-Acknowledgement = {{Ministry of Earth Sciences (MoES), Government of IndiaMinistry of Earth
   Science (MoES), Government of India}},
Funding-Text = {{Indian Institute of Tropical Meteorology (IITM) is fully supported by
   Ministry of Earth Sciences (MoES), Government of India. We acknowledge
   Kiran Salunke and Ashish Dhakate of IITM for their help in performing
   CFSv2-T382 hindcasts. We thank the Editor and two anonymous reviewers
   for valuable comments that improved the manuscript to the present form.
   All NMME model outputs are downloaded from IRI website. The plots are
   made using NCAR Command Language (NCL).}},
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Number-of-Cited-References = {{51}},
Times-Cited = {{6}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{4}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{GF5IJ}},
Unique-ID = {{ISI:000431999600057}},
DA = {{2020-08-06}},
}

@article{ ISI:000432026100005,
Author = {von Reumont, J. and Hetzinger, S. and Garbe-Schoenberg, D. and Manfrino,
   C. and Dullo, C.},
Title = {{Tracking Interannual-to Multidecadal-Scale Climate Variability in the
   Atlantic Warm Pool Using Central Caribbean Coral Data}},
Journal = {{PALEOCEANOGRAPHY AND PALEOCLIMATOLOGY}},
Year = {{2018}},
Volume = {{33}},
Number = {{4}},
Pages = {{395-411}},
Month = {{APR}},
Abstract = {{Atlantic Warm Pool (AWP) climate variability is subject to multiple
   influences of remote and local forcing. However, shortage of
   observational data before the midtwentieth century and of long-term sea
   surface temperature (SST) and climate records has hampered the detection
   and investigation of decadal- and longer-scale variability. We present
   new seasonally resolved 125-year records of coral delta O-18 and Sr/Ca
   variations in the Central Caribbean Sea (Little Cayman, Cayman Islands;
   Diploria strigosa). Both geochemical proxies show decreasing long-term
   trends, indicating long-term warming. Sr/Ca indicates much stronger
   regional warming than large-scale grid-SST data, while delta O-18 tracks
   large-scale SST changes in the Atlantic Warm Pool. Seawater delta O-18
   variations are reconstructed, indicating a drying trend over the past
   century. High spatial correlation between coral delta O-18 and SST in
   the region of the Loop Current and Gulf Stream system suggests that
   Little Cayman is a sensitive location for detecting past large-scale
   temperature variability beyond the Central Caribbean region. More
   specifically, our delta O-18 data track changes in North Atlantic
   Oscillation variability on decadal and multidecadal time scales
   providing insights into the temporal and spatial nonstationarity of the
   North Atlantic Oscillation. A combination of our delta O-18 record with
   two coral records from different Caribbean sites reveals high spatial
   correspondence between coral delta O-18 and SST variability in the North
   Atlantic subtropical gyre, where few instrumental measurements and
   proxies are available prior to the twentieth century. Our results
   clearly demonstrate the potential of combining proxy data to provide
   information from sparsely sampled areas, helping to reduce uncertainty
   in model-based projections.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{von Reumont, J (Corresponding Author), GEOMAR Helmhonz Zentrum Ozeanforsch Kiel, Kiel, Germany.
   von Reumont, J.; Hetzinger, S.; Dullo, C., GEOMAR Helmhonz Zentrum Ozeanforsch Kiel, Kiel, Germany.
   Hetzinger, S., Univ Hamburg, Inst Geol, Hamburg, Germany.
   Garbe-Schoenberg, D., Univ Kiel, Inst Geosci, IfG, Kiel, Germany.
   Manfrino, C., Kean Univ, Dept Geol \& Meteorol, Union, NJ USA.
   Manfrino, C., Cent Caribbean Marine Inst, Princeton, NJ USA.}},
DOI = {{10.1002/2018PA003321}},
ISSN = {{2572-4517}},
EISSN = {{2572-4525}},
Keywords = {{coral O-18; coral Sr; Ca; Atlantic Warm Pool; North Atlantic
   Oscillation; Diploria strigosa; Caribbean}},
Keywords-Plus = {{SEA-SURFACE TEMPERATURE; HIGH-RESOLUTION SR/CA; GREAT-BARRIER-REEF;
   NORTH-ATLANTIC; TROPICAL ATLANTIC; SST VARIABILITY; ATMOSPHERIC
   CIRCULATION; ENSO TELECONNECTION; DECADAL VARIABILITY; WINTER
   TEMPERATURES}},
Research-Areas = {{Geology; Oceanography; Paleontology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary; Oceanography; Paleontology}},
Author-Email = {{jreumont@geomar.de}},
ResearcherID-Numbers = {{Garbe-Schonberg, Dieter/AAO-3827-2020
   }},
ORCID-Numbers = {{Hetzinger, Steffen/0000-0001-5616-4977
   Manfrino, Carrie/0000-0002-3129-9629}},
Funding-Acknowledgement = {{DFGGerman Research Foundation (DFG) {[}HE 6251/2-1]}},
Funding-Text = {{The authors would like to thank Karen Bremer for the lab assistance and
   Lowell Forbes for diving assistance. This work was supported with
   funding from the DFG (through project HE 6251/2-1). Data are available
   to the public from World Data Center for Paleoclimatology at NOAA's
   National Center for Environmental Information (NCEI): . The authors
   declare that they have no conflict of interest.}},
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Number-of-Cited-References = {{142}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{14}},
Journal-ISO = {{Paleoceanogr. Paleoclimatology}},
Doc-Delivery-Number = {{GF5RT}},
Unique-ID = {{ISI:000432026100005}},
OA = {{Green Accepted}},
DA = {{2020-08-06}},
}

@article{ ISI:000428880600005,
Author = {Gong, Zhiqiang and Dogar, Muhammad Mubashar and Qiao, Shaobo and Hu, Po
   and Feng, Guolin},
Title = {{Assessment and correction of BCC\_CSM's performance in capturing leading
   modes of summer precipitation over North Asia}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2018}},
Volume = {{38}},
Number = {{5}},
Pages = {{2201-2214}},
Month = {{APR}},
Abstract = {{This article examines the ability of Beijing Climate Center Climate
   System Model (BCC\_CSM) in demonstrating the prediction accuracy and the
   leading modes of the summer precipitation over North Asia (NA). A
   dynamic-statistic combined approach for improving the prediction
   accuracy and the prediction of the leading modes of the summer
   precipitation over NA is proposed. Our results show that the BCC\_CSM
   can capture part of the spatial anomaly features of the first two
   leading modes of NA summer precipitation. Moreover, BCC\_CSM regains
   relationships such that the first and second mode of the empirical
   orthogonal function (EOF1 and EOF2) of NA summer precipitation,
   respectively, corresponds to the development of the El Nino and La Nina
   conditions in the tropical East Pacific. Nevertheless, BCC\_CSM exhibits
   limited prediction skill over most part of NA and presents a deficiency
   in reproducing the EOF1's and EOF2's spatial pattern over central NA and
   EOF2's interannual variability. This can be attributed as the possible
   reasons why the model is unable to capture the correct relationships
   among the basic climate elements over the central NA, lacks in its
   ability to reproduce a consistent zonal atmospheric pattern over NA, and
   has bias in predicting the relevant Sea Surface Temperature (SST) modes
   over the tropical Pacific and Indian Ocean regions. Based on the
   proposed dynamic-statistic combined correction approach, compared with
   the leading modes of BCC\_CSM's original prediction, anomaly correlation
   coefficients of corrected EOF1/EOF2 with the tropical Indian Ocean SST
   are improved from 0.18/0.36 to 0.51/0.62. Hence, the proposed correction
   approach suggests that the BCC\_CSM's prediction skill for the summer
   precipitation prediction over NA and its ability to capture the dominant
   modes could be certainly improved by choosing proper historical analogue
   information.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Feng