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jeffrey s. whitaker
jeffrey s. whitaker
Meteorologiust
Verified email at noaa.gov
Title
Cited by
Cited by
Year
The twentieth century reanalysis project
GP Compo, JS Whitaker, PD Sardeshmukh, N Matsui, RJ Allan, X Yin, ...
Quarterly Journal of the Royal Meteorological Society 137 (654), 1-28, 2011
35952011
Ensemble data assimilation without perturbed observations
JS Whitaker, TM Hamill
Monthly weather review 130 (7), 1913-1924, 2002
19232002
Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
TM Hamill, JS Whitaker, C Snyder
Monthly Weather Review 129 (11), 2776-2790, 2001
13492001
Ensemble square root filters
MK Tippett, JL Anderson, CH Bishop, TM Hamill, JS Whitaker
Monthly weather review 131 (7), 1485-1490, 2003
10822003
Towards a more reliable historical reanalysis: Improvements for version 3 of the Twentieth Century Reanalysis system
LC Slivinski, GP Compo, JS Whitaker, PD Sardeshmukh, BS Giese, ...
Quarterly Journal of the Royal Meteorological Society 145 (724), 2876-2908, 2019
5722019
Ensemble data assimilation with the NCEP Global Forecast System
JS Whitaker, TM Hamill, X Wei, Y Song, Z Toth
Monthly Weather Review 136 (2), 463-482, 2008
5282008
Feasibility of a 100-year reanalysis using only surface pressure data
GP Compo, JS Whitaker, PD Sardeshmukh
Bulletin of the American Meteorological Society 87 (2), 175-190, 2006
4982006
Evaluating methods to account for system errors in ensemble data assimilation
JS Whitaker, TM Hamill
Monthly Weather Review 140 (9), 3078-3089, 2012
4232012
NOAA's second-generation global medium-range ensemble reforecast dataset
TM Hamill, GT Bates, JS Whitaker, DR Murray, M Fiorino, TJ Galarneau, ...
Bulletin of the American Meteorological Society 94 (10), 1553-1565, 2013
4022013
Probabilistic quantitative precipitation forecasts based on reforecast analogs: Theory and application
TM Hamill, JS Whitaker
Monthly Weather Review 134 (11), 3209-3229, 2006
3832006
Ensemble reforecasting: Improving medium-range forecast skill using retrospective forecasts
TM Hamill, JS Whitaker, X Wei
Monthly Weather Review 132 (6), 1434-1447, 2004
3592004
Introduction to the SPARC Reanalysis Intercomparison Project (S-RIP) and overview of the reanalysis systems
M Fujiwara, JS Wright, GL Manney, LJ Gray, J Anstey, T Birner, S Davis, ...
Atmospheric Chemistry and Physics Discussions 2016, 1-52, 2016
3242016
Mechanisms determining the atmospheric response to midlatitude SST anomalies
S Peng, JS Whitaker
Journal of climate 12 (5), 1393-1408, 1999
3171999
Reanalysis without radiosondes using ensemble data assimilation
JS Whitaker, GP Compo, X Wei, TM Hamill
Monthly Weather Review 132 (5), 1190-1200, 2004
3142004
GSI 3DVar-based ensemble–variational hybrid data assimilation for NCEP Global Forecast System: Single-resolution experiments
X Wang, D Parrish, D Kleist, J Whitaker
Monthly Weather Review 141 (11), 4098-4117, 2013
3122013
The relationship between ensemble spread and ensemble mean skill
JS Whitaker, AF Loughe
Monthly weather review 126 (12), 3292-3302, 1998
2981998
Reforecasts: An important dataset for improving weather predictions
TM Hamill, JS Whitaker, SL Mullen
Bulletin of the American Meteorological Society 87 (1), 33-46, 2006
2912006
Probabilistic forecast calibration using ECMWF and GFS ensemble reforecasts. Part II: Precipitation
TM Hamill, R Hagedorn, JS Whitaker
Monthly weather review 136 (7), 2620-2632, 2008
2812008
An ensemble data assimilation system to estimate CO2 surface fluxes from atmospheric trace gas observations
W Peters, JB Miller, J Whitaker, AS Denning, A Hirsch, MC Krol, ...
Journal of Geophysical Research: Atmospheres 110 (D24), 2005
2512005
Global ensemble predictions of 2009’s tropical cyclones initialized with an ensemble Kalman filter
TM Hamill, JS Whitaker, M Fiorino, SG Benjamin
Monthly Weather Review 139 (2), 668-688, 2011
2152011
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