Climatology, Sea surface temperature, Community Climate System Model, Forcing and Sea ice are his primary areas of study. His Climatology research is multidisciplinary, incorporating elements of Precipitation, Climate model and Atmospheric model. His Precipitation research is multidisciplinary, incorporating perspectives in Wind stress, Humidity, Wind speed and Ocean observations.
Stephen G. Yeager regularly links together related areas like Spatial distribution in his Sea surface temperature studies. His biological study spans a wide range of topics, including Climate system and Downwelling. Within one scientific family, he focuses on topics pertaining to Atmospheric sciences under Sea ice, and may sometimes address concerns connected to Atmosphere.
His primary areas of study are Climatology, Thermohaline circulation, Oceanography, Climate model and Sea surface temperature. His study looks at the relationship between Climatology and fields such as Community Climate System Model, as well as how they intersect with chemical problems. His Thermohaline circulation study combines topics from a wide range of disciplines, such as Sea ice and Ocean gyre.
His work on Antarctic sea ice, Arctic ice pack and Arctic sea ice decline as part of general Sea ice study is frequently linked to Flux, therefore connecting diverse disciplines of science. The Climate model study combines topics in areas such as La Niña and Boundary layer. The study incorporates disciplines such as Sea level and Precipitation in addition to Sea surface temperature.
His primary areas of investigation include Climatology, Predictability, Earth system science, Climate model and Oceanography. Many of his studies on Climatology apply to Climate change as well. He has included themes like North Atlantic oscillation, Atmospheric circulation, Isopycnal and Precipitation in his Climate model study.
His Forcing study combines topics from a wide range of disciplines, such as Arctic ice pack, Annual cycle and Model bias. His Thermohaline circulation research is multidisciplinary, incorporating elements of Ice shelf, Ocean current, Data assimilation and Atmospheric models. His research integrates issues of Zonal and meridional, Anomaly and Sea level in his study of Sea surface temperature.
Stephen G. Yeager mainly focuses on Climatology, Climate model, Forcing, Predictability and North Atlantic oscillation. His studies in Climatology integrate themes in fields like Climate change, Sea level and Precipitation. His Precipitation research includes themes of Atmospheric circulation and Anomaly.
His work in Climate model addresses issues such as Arctic ice pack, which are connected to fields such as Intertropical Convergence Zone, Monsoon, Atlantic hurricane and Paleoclimatology. His Forcing research incorporates themes from Annual cycle, Model bias and Ocean sea. Stephen G. Yeager interconnects Global warming and Bottom water in the investigation of issues within Sea surface temperature.
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The global climatology of an interannually varying air–sea flux data set
W. G. Large;S. G. Yeager.
Climate Dynamics (2009)
Diurnal to decadal global forcing for ocean and sea-ice models: The data sets and flux climatologies
G. Large;Stephen Yeager.
Coordinated Ocean-ice Reference Experiments (COREs)
Stephen M. Griffies;Arne Biastoch;Claus W. Böning;Frank Bryan.
Ocean Modelling (2009)
The CCSM4 Ocean Component
Gokhan Danabasoglu;Susan C. Bates;Bruce P. Briegleb;Steven R. Jayne.
Journal of Climate (2012)
Decadal Climate Prediction: An Update from the Trenches
Gerald A. Meehl;Lisa Goddard;George Boer;Robert Burgman.
Bulletin of the American Meteorological Society (2014)
The Low-Resolution CCSM3
Stephen G. Yeager;Christine A. Shields;William G. Large;James J. Hack.
Journal of Climate (2006)
Patterns of Indian Ocean sea-level change in a warming climate
Weiqing Han;Gerald A. Meehl;Balaji Rajagopalan;John T. Fasullo.
Nature Geoscience (2010)
Improvements in a half degree atmosphere/land version of the CCSM
Peter R. Gent;Stephen G. Yeager;Richard B. Neale;Samuel Levis.
Climate Dynamics (2010)
A decadal prediction case study: Late twentieth-century North Atlantic Ocean heat content
Stephen Yeager;Alicia Karspeck;Gokhan Danabasoglu;Joseph Tribbia.
Journal of Climate (2012)
JRA-55 based surface dataset for driving ocean–sea-ice models (JRA55-do)
Hiroyuki Tsujino;Shogo Urakawa;Hideyuki Nakano;R. Justin Small.
Ocean Modelling (2018)
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