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Tom Hamill
Tom Hamill
Head of Innovation, The Weather Company
Dirección de correo verificada de weather.com
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Ensemble data assimilation without perturbed observations
JS Whitaker, TM Hamill
Monthly weather review 130 (7), 1913-1924, 2002
19552002
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
13752001
Ensemble square root filters
MK Tippett, JL Anderson, CH Bishop, TM Hamill, JS Whitaker
Monthly weather review 131 (7), 1485-1490, 2003
10972003
Interpretation of rank histograms for verifying ensemble forecasts
TM Hamill
Monthly Weather Review 129 (3), 550-560, 2001
10652001
A hybrid ensemble Kalman filter–3D variational analysis scheme
TM Hamill, C Snyder
Monthly Weather Review 128 (8), 2905-2919, 2000
7732000
Verification of Eta–RSM short-range ensemble forecasts
TM Hamill, SJ Colucci
Monthly Weather Review 125 (6), 1312-1327, 1997
6231997
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
5322008
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
4862010
Hypothesis tests for evaluating numerical precipitation forecasts
TM Hamill
Weather and Forecasting 14 (2), 155-167, 1999
4601999
Evaluating methods to account for system errors in ensemble data assimilation
JS Whitaker, TM Hamill
Monthly Weather Review 140 (9), 3078-3089, 2012
4392012
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
4122013
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
3942008
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
3602004
Evaluation of Eta–RSM ensemble probabilistic precipitation forecasts
TM Hamill, SJ Colucci
Monthly Weather Review 126 (3), 711-724, 1998
3291998
Reanalysis without radiosondes using ensemble data assimilation
JS Whitaker, GP Compo, X Wei, TM Hamill
Monthly Weather Review 132 (5), 1190-1200, 2004
3172004
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
Comparison of ensemble-MOS methods using GFS reforecasts
DS Wilks, TM Hamill
Monthly weather review 135 (6), 2379-2390, 2007
2892007
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
2862006
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
2842008
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