D
Daryl T. Kleist
Researcher at National Oceanic and Atmospheric Administration
Publications - 32
Citations - 6404
Daryl T. Kleist is an academic researcher from National Oceanic and Atmospheric Administration. The author has contributed to research in topics: Data assimilation & Global Forecast System. The author has an hindex of 16, co-authored 26 publications receiving 5517 citations. Previous affiliations of Daryl T. Kleist include Science Applications International Corporation & University of Maryland, College Park.
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Journal ArticleDOI
The NCEP Climate Forecast System Reanalysis
Suranjana Saha,Shrinivas Moorthi,Hua-Lu Pan,Xingren Wu,Jiande Wang,Sudhir Nadiga,Patrick Tripp,Robert Kistler,John S. Woollen,David Behringer,Haixia Liu,Diane Stokes,Robert Grumbine,George Gayno,Jun Wang,Yu-Tai Hou,Hui-ya Chuang,Hann-Ming Henry Juang,Joe Sela,Mark Iredell,Russ Treadon,Daryl T. Kleist,Paul van Delst,Dennis Keyser,John Derber,Michael Ek,Jesse Meng,Helin Wei,Rongqian Yang,Stephen J. Lord,Huug van den Dool,Arun Kumar,Wanqiu Wang,Craig S. Long,Muthuvel Chelliah,Yan Xue,Boyin Huang,Jae-Kyung E. Schemm,Wesley Ebisuzaki,Roger Lin,Pingping Xie,Mingyue Chen,Shuntai Zhou,Wayne Higgins,Cheng-Zhi Zou,Quanhua Liu,Yong Chen,Yong Han,Lidia Cucurull,Richard W. Reynolds,Glenn Rutledge,Mitch Goldberg +51 more
TL;DR: The NCEP Climate Forecast System Reanalysis (CFSR) was completed for the 31-yr period from 1979 to 2009, in January 2010 as mentioned in this paper, which was designed and executed as a global, high-resolution coupled atmosphere-ocean-land surface-sea ice system to provide the best estimate of the state of these coupled domains over this period.
Journal ArticleDOI
Introduction of the GSI into the NCEP Global Data Assimilation System
TL;DR: The Gridpoint Statistical Interpolation (GSI) as mentioned in this paper was developed at the Environmental Modeling Center at NCEP as part of an effort to create a more unified, robust, and efficient analysis scheme.
Journal ArticleDOI
GSI 3DVar-Based Ensemble-Variational Hybrid Data Assimilation for NCEP Global Forecast System: Single-Resolution Experiments
TL;DR: In this article, an ensemble Kalman filter-variational hybrid data assimilation system based on the gridpoint statistical interpolation (GSI) 3DVar system was developed, which was investigated using the National Centers for Environmental Prediction (NCEP) Global Forecast System model.
The NCEP climate forecast system reanalysis. Bull Am Meteorol Soc
Suranjana Saha,Shrinivas Moorthi,Hua-Lu Pan,Xingren Wu,Jiande Wang,Sudhir Nadiga,Patrick Tripp,Robert Kistler,John S. Woollen,David Behringer,Haixia Liu,Diane Stokes,Robert Grumbine,George Gayno,Jun Wang,Yu-Tai Hou,Hui-ya Chuang,Hann-Ming Henry Juang,Joe Sela,Mark Iredell,Russ Treadon,Daryl T. Kleist,Paul van Delst,Dennis Keyser,John Derber,Michael Ek,Jesse Meng,Helin Wei,Rongqian Yang,Stephen J. Lord,Huug van den Dool,Arun Kumar,Wanqiu Wang,Craig S. Long,Muthuvel Chelliah,Yan Xue,Boyin Huang,Jae-Kyung E. Schemm,Wesley Ebisuzaki,Roger Lin,Pingping Xie,Mingyue Chen,Shuntai Zhou,Wayne Higgins,Cheng-Zhi Zou,Quanhua Liu,Yong Chen,Yong Han,Lidia Cucurull,Richard W. Reynolds,Glenn Rutledge,Mitch Goldberg +51 more
Journal ArticleDOI
An OSSE-Based Evaluation of Hybrid Variational–Ensemble Data Assimilation for the NCEP GFS. Part II: 4DEnVar and Hybrid Variants
Daryl T. Kleist,Kayo Ide +1 more
TL;DR: It is found that by going from 3D to 4D, analysis error is reduced for most variables and levels and the inclusion of a time-invariant static covariance when used without a normal mode–based strong constraint is found to have a small, positive impact on the analysis.