R
Rich Gudgel
Researcher at National Oceanic and Atmospheric Administration
Publications - 22
Citations - 2833
Rich Gudgel is an academic researcher from National Oceanic and Atmospheric Administration. The author has contributed to research in topics: Forecast skill & Arctic ice pack. The author has an hindex of 13, co-authored 19 publications receiving 2614 citations. Previous affiliations of Rich Gudgel include Geophysical Fluid Dynamics Laboratory & 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.
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On the contribution of local feedback mechanisms to the range of climate sensitivity in two GCM ensembles
Mark J. Webb,Catherine A. Senior,David M. H. Sexton,William Ingram,K. D. Williams,Mark A. Ringer,B. J. McAvaney,Robert Colman,Brian J. Soden,Rich Gudgel,Thomas R. Knutson,Seita Emori,Tomoo Ogura,Y. Tsushima,N. Andronova,B. Li,Ionela Musat,Sandrine Bony,Karl E. Taylor +18 more
TL;DR: The authors applied global and local feedback analysis techniques to two ensembles of mixed layer equilibrium CO2 doubling climate change experiments, from the CFMIP (Cloud Feedback Model Intercom-parison Project) and QUMP (Quantifying Uncertainty in Model Predictions) projects.
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Tropical cyclone sensitivities to CO2 doubling: roles of atmospheric resolution, synoptic variability and background climate changes
Gabriel A. Vecchi,Thomas L. Delworth,Thomas L. Delworth,Hiroyuki Murakami,Hiroyuki Murakami,Hiroyuki Murakami,Seth Underwood,Andrew T. Wittenberg,Fanrong Zeng,Wei Zhang,J. W. Baldwin,Kieran T. Bhatia,William Cooke,William Cooke,Jie He,Jie He,Sarah B. Kapnick,Thomas R. Knutson,Gabriele Villarini,Karin van der Wiel,Whit G. Anderson,Venkatramani Balaji,Venkatramani Balaji,Jan–Huey –H Chen,Keith W. Dixon,Rich Gudgel,Lucas M. Harris,Liwei Jia,Nathaniel C. Johnson,Shian-Jiann Lin,Maofeng Liu,Ching Ho Justin Ng,Anthony Rosati,Anthony Rosati,James A Smith,Xiaosong Yang,Xiaosong Yang +36 more
TL;DR: In this article, the responses of tropical cyclones to CO2 doubling are explored using coupled global climate models (GCMs) with increasingly refined atmospheric/land horizontal grids (e.g., 200, 50, and 25 km).
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A Predictable AMO-Like Pattern in the GFDL Fully Coupled Ensemble Initialization and Decadal Forecasting System
Xiaosong Yang,Xiaosong Yang,Anthony Rosati,Shaoqing Zhang,Thomas L. Delworth,Rich Gudgel,Rong Zhang,Gabriel A. Vecchi,Whit G. Anderson,You-Soon Chang,You-Soon Chang,Timothy DelSole,Keith W. Dixon,Rym Msadek,Rym Msadek,W. Stern,Andrew T. Wittenberg,Fanrong Zeng +17 more
TL;DR: In this paper, the decadal predictability of sea surface temperature (SST) and 2m air temperature (T2m) in the GFDL decadal hindcasts, which are part of the Fifth Coupled Model Intercomparison Project experiments, has been investigated using an average predictability time (APT) analysis.
Journal ArticleDOI
Skillful regional prediction of Arctic sea ice on seasonal timescales
Mitchell Bushuk,Rym Msadek,Michael Winton,Gabriel A. Vecchi,Rich Gudgel,Anthony Rosati,Xiaosong Yang +6 more
TL;DR: In this paper, the authors investigated the regional forecast skill of Arctic sea ice in a Geophysical Fluid Dynamics Laboratory (GFDL) seasonal prediction system using a suite of retrospective initialized forecasts spanning 1981-2015 made with a coupled atmosphere-ocean-sea ice land model, and showed that predictions of detrended regional SIE are skillful at lead times up to 11 months.