S
Siegfried D. Schubert
Researcher at Goddard Space Flight Center
Publications - 217
Citations - 24527
Siegfried D. Schubert is an academic researcher from Goddard Space Flight Center. The author has contributed to research in topics: Sea surface temperature & Precipitation. The author has an hindex of 60, co-authored 213 publications receiving 20854 citations. Previous affiliations of Siegfried D. Schubert include University of Maryland, College Park.
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Journal ArticleDOI
MERRA: NASA’s Modern-Era Retrospective Analysis for Research and Applications
Michele M. Rienecker,Max J. Suarez,Ronald Gelaro,Ricardo Todling,Julio T. Bacmeister,Julio T. Bacmeister,Emily Liu,Emily Liu,Michael G. Bosilovich,Siegfried D. Schubert,Lawrence L. Takacs,Lawrence L. Takacs,Gi-Kong Kim,S. C. Bloom,S. C. Bloom,Junye Chen,Junye Chen,Douglas Collins,Douglas Collins,Austin Conaty,Austin Conaty,Arlindo da Silva,Wei Gu,Wei Gu,Joanna Joiner,Randal D. Koster,Robert A. Lucchesi,Robert A. Lucchesi,Andrea Molod,Andrea Molod,Tommy Owens,Tommy Owens,Steven Pawson,Philip Pegion,Philip Pegion,Christopher R. Redder,Christopher R. Redder,Rolf H. Reichle,Franklin R. Robertson,Albert G. Ruddick,Albert G. Ruddick,Meta Sienkiewicz,Meta Sienkiewicz,John S. Woollen +43 more
TL;DR: The Modern-Era Retrospective Analysis for Research and Applications (MERRA) was undertaken by NASA's Global Modeling and Assimilation Office with two primary objectives: to place observations from NASA's Earth Observing System satellites into a climate context and to improve upon the hydrologic cycle represented in earlier generations of reanalyses as mentioned in this paper.
Journal ArticleDOI
The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)
Ronald Gelaro,Will McCarty,Max J. Suarez,Max J. Suarez,Ricardo Todling,Andrea Molod,Lawrence L. Takacs,Cynthia A. Randles,Cynthia A. Randles,Anton Darmenov,Michael G. Bosilovich,Rolf H. Reichle,Krzysztof Wargan,Lawrence Coy,Richard I. Cullather,Richard I. Cullather,Clara S. Draper,Clara S. Draper,Santha Akella,V. Buchard,V. Buchard,Austin Conaty,Arlindo da Silva,Wei Gu,Gi-Kong Kim,Randal D. Koster,Robert A. Lucchesi,Dagmar Merkova,J. E. Nielsen,Gary Partyka,Steven Pawson,William M. Putman,Michele M. Rienecker,Siegfried D. Schubert,Meta Sienkiewicz,Bin Zhao,Bin Zhao +36 more
TL;DR: An overview of the MERRA-2 system and various performance metrics is provided, including the assimilation of aerosol observations, several improvements to the representation of the stratosphere including ozone, and improved representations of cryospheric processes.
Journal ArticleDOI
Tropical Intraseasonal Variability in 14 IPCC AR4 Climate Models. Part I: Convective Signals
Jialin Lin,George N. Kiladis,Brian E. Mapes,Klaus M. Weickmann,Kenneth R. Sperber,Wuyin Lin,Matthew C. Wheeler,Siegfried D. Schubert,Anthony D. Del Genio,Leo J. Donner,Seita Emori,Jean Francois Gueremy,Frédéric Hourdin,Philip J. Rasch,Erich Roeckner,John Scinocca +15 more
TL;DR: In this paper, the authors evaluate the tropical intraseasonal variability, especially the fidelity of Madden-Julian oscillation (MJO) simulations, in 14 coupled general circulation models participating in the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4).
Journal ArticleDOI
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
An assimilated dataset for Earth science applications
TL;DR: The Data Assimilation Office at NASA's Goddard Space Flight Center is currently producing a multi-year gridded global atmospheric dataset for use in climate research, including tropospheric chemistry applications as mentioned in this paper.