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Anthony Rosati
Researcher at National Oceanic and Atmospheric Administration
Publications - 115
Citations - 13729
Anthony Rosati is an academic researcher from National Oceanic and Atmospheric Administration. The author has contributed to research in topics: Climate model & Sea surface temperature. The author has an hindex of 52, co-authored 104 publications receiving 12414 citations. Previous affiliations of Anthony Rosati include University Corporation for Atmospheric Research & Princeton University.
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Journal ArticleDOI
GFDL's CM2 global coupled climate models. Part I: Formulation and simulation characteristics
Thomas L. Delworth,Anthony J. Broccoli,Anthony Rosati,Ronald J. Stouffer,Venkatramani Balaji,John A. Beesley,William Cooke,Keith W. Dixon,John P. Dunne,Krista A. Dunne,Jeffrey W. Durachta,Kirsten L. Findell,Paul Ginoux,Anand Gnanadesikan,C. T. Gordon,Stephen M. Griffies,Rich Gudgel,Matthew Harrison,Isaac M. Held,Richard S. Hemler,Larry W. Horowitz,Stephen A. Klein,Stephen A. Klein,Thomas R. Knutson,Paul J. Kushner,A. R. Langenhorst,Hyun Chul Lee,Shian-Jiann Lin,Jian Lu,Sergey Malyshev,Paul C.D. Milly,Venkatachalam Ramaswamy,Joellen L. Russell,M. Daniel Schwarzkopf,Elena Shevliakova,Joseph J. Sirutis,Michael J. Spelman,W. Stern,Michael Winton,Andrew T. Wittenberg,Bruce Wyman,Fanrong Zeng,Rong Zhang +42 more
TL;DR: In this paper, the formulation and simulation characteristics of two new global coupled climate models developed at NOAA's Geophysical Fluid Dynamics Laboratory (GFDL) are described and two versions of the coupled model are described.
Journal ArticleDOI
A Quasi-equilibrium Turbulent Energy Model for Geophysical Flows
TL;DR: In this paper, the Mellor-Yamada hierarchy of turbulent closure models is reexamined to show that the elimination of a slight inconsistency in their analysis leads to a quasi-equilibrium model that is somewhat simpler than their level 2½ model.
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The North American multimodel ensemble: Phase-1 seasonal-to-interannual prediction; phase-2 toward developing intraseasonal prediction
Ben P. Kirtman,Dughong Min,Johnna M. Infanti,James L. Kinter,D. A. Paolino,Qin Zhang,Huug van den Dool,Suranjana Saha,Malaquías Peña Mendez,Emily Becker,Peitao Peng,Patrick Tripp,Jin Huang,David G. DeWitt,Michael K. Tippett,Anthony G. Barnston,Shuhua Li,Anthony Rosati,Siegfried D. Schubert,Michele M. Rienecker,Max J. Suarez,Zhao E. Li,Jelena Marshak,Young-Kwon Lim,Joseph Tribbia,Kathleen Pegion,William J. Merryfield,Bertrand Denis,Eric F. Wood +28 more
TL;DR: The recent U.S. National Academies report, Assessment of Intraseasonal to Interannual Climate Prediction and Predictability, was unequivocal in recommending the need for the development of a North American Multimodel Ensemble (NMME) operational predictive capability.
Journal ArticleDOI
A review of the predictability and prediction of ENSO
Mojib Latif,David L. T. Anderson,Tim P. Barnett,Mark A. Cane,Richard Kleeman,Ants Leetmaa,James J. O'Brien,Anthony Rosati,Edwin K. Schneider +8 more
TL;DR: A hierarchy of El Nino-Southern Oscillation (ENSO) prediction schemes has been developed during the Tropical Ocean-Global Atmosphere (TOGA) program which includes statistical schemes and physical models as mentioned in this paper.
Journal ArticleDOI
Simulated Climate and Climate Change in the GFDL CM2.5 High-Resolution Coupled Climate Model
Thomas L. Delworth,Anthony Rosati,Whit G. Anderson,Alistair Adcroft,Venkatramani Balaji,Rusty Benson,Keith W. Dixon,Stephen M. Griffies,Hyun Chul Lee,R. C. Pacanowski,Gabriel A. Vecchi,Andrew T. Wittenberg,Fanrong Zeng,Rong Zhang +13 more
TL;DR: This article presented results for simulated climate and climate change from a newly developed high-resolution global climate model [Geophysical Fluid Dynamics Laboratory Climate Model version 2.5 (GFDL CM2.5)] with an atmospheric resolution of approximately 50 km in the horizontal, with 32 vertical levels.