Ensemble data assimilation without perturbed observations JS Whitaker, TM Hamill Monthly weather review 130 (7), 1913-1924, 2002 | 1950 | 2002 |
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 | 1370 | 2001 |
Ensemble square root filters MK Tippett, JL Anderson, CH Bishop, TM Hamill, JS Whitaker Monthly weather review 131 (7), 1485-1490, 2003 | 1094 | 2003 |
Interpretation of rank histograms for verifying ensemble forecasts TM Hamill Monthly Weather Review 129 (3), 550-560, 2001 | 1062 | 2001 |
A hybrid ensemble Kalman filter–3D variational analysis scheme TM Hamill, C Snyder Monthly Weather Review 128 (8), 2905-2919, 2000 | 769 | 2000 |
Verification of Eta–RSM short-range ensemble forecasts TM Hamill, SJ Colucci Monthly Weather Review 125 (6), 1312-1327, 1997 | 620 | 1997 |
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 | 531 | 2008 |
The THORPEX interactive grand global ensemble P Bougeault, Z Toth, C Bishop, B Brown, D Burridge, DH Chen, B Ebert, ... Bulletin of the American Meteorological Society 91 (8), 1059-1072, 2010 | 483 | 2010 |
Hypothesis tests for evaluating numerical precipitation forecasts TM Hamill Weather and Forecasting 14 (2), 155-167, 1999 | 459 | 1999 |
Evaluating methods to account for system errors in ensemble data assimilation JS Whitaker, TM Hamill Monthly Weather Review 140 (9), 3078-3089, 2012 | 435 | 2012 |
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 | 412 | 2013 |
A hybrid ETKF–3DVAR data assimilation scheme for the WRF model. Part I: Observing system simulation experiment X Wang, DM Barker, C Snyder, TM Hamill Monthly Weather Review 136 (12), 5116-5131, 2008 | 393 | 2008 |
Probabilistic quantitative precipitation forecasts based on reforecast analogs: Theory and application TM Hamill, JS Whitaker Monthly Weather Review 134 (11), 3209-3229, 2006 | 382 | 2006 |
Ensemble reforecasting: Improving medium-range forecast skill using retrospective forecasts TM Hamill, JS Whitaker, X Wei Monthly Weather Review 132 (6), 1434-1447, 2004 | 360 | 2004 |
Evaluation of Eta–RSM ensemble probabilistic precipitation forecasts TM Hamill, SJ Colucci Monthly Weather Review 126 (3), 711-724, 1998 | 329 | 1998 |
Reanalysis without radiosondes using ensemble data assimilation JS Whitaker, GP Compo, X Wei, TM Hamill Monthly Weather Review 132 (5), 1190-1200, 2004 | 314 | 2004 |
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 | 290 | 2006 |
Comparison of ensemble-MOS methods using GFS reforecasts DS Wilks, TM Hamill Monthly weather review 135 (6), 2379-2390, 2007 | 288 | 2007 |
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 | 284 | 2008 |
Measuring forecast skill: is it real skill or is it the varying climatology? TM Hamill, J Juras Quarterly Journal of the Royal Meteorological Society: A journal of the …, 2006 | 283 | 2006 |