Ensemble covariances adaptively localized with ECO-RAP. Part 1: Tests on simple error models C Bishop, D Hodyss Tellus A: Dynamic Meteorology and Oceanography 61 (1), 84-96, 2009 | 141 | 2009 |
Flow‐adaptive moderation of spurious ensemble correlations and its use in ensemble‐based data assimilation CH Bishop, D Hodyss Quarterly Journal of the Royal Meteorological Society: A journal of the …, 2007 | 135 | 2007 |
Ensemble covariances adaptively localized with ECO-RAP. Part 2: A strategy for the atmosphere C Bishop, D Hodyss Tellus A: Dynamic Meteorology and Oceanography 61 (1), 97-111, 2009 | 132 | 2009 |
Vertical covariance localization for satellite radiances in ensemble Kalman filters WF Campbell, CH Bishop, D Hodyss Monthly Weather Review 138 (1), 282-290, 2010 | 118 | 2010 |
Adaptive ensemble covariance localization in ensemble 4D-VAR state estimation CH Bishop, D Hodyss Monthly Weather Review 139 (4), 1241-1255, 2011 | 79 | 2011 |
The error of representation: Basic understanding D Hodyss, N Nichols Tellus A: Dynamic Meteorology and Oceanography 67 (1), 24822, 2015 | 56 | 2015 |
The unexpected rapid intensification of tropical cyclones in moderate vertical wind shear. Part I: Overview and observations DR Ryglicki, JH Cossuth, D Hodyss, JD Doyle Monthly Weather Review 146 (11), 3773-3800, 2018 | 52 | 2018 |
The unexpected rapid intensification of tropical cyclones in moderate vertical wind shear. Part III: Outflow–environment interaction DR Ryglicki, JD Doyle, D Hodyss, JH Cossuth, Y Jin, KC Viner, ... Monthly Weather Review 147 (8), 2919-2940, 2019 | 50 | 2019 |
The unexpected rapid intensification of tropical cyclones in moderate vertical wind shear. Part II: Vortex tilt DR Ryglicki, JD Doyle, Y Jin, D Hodyss, JH Cossuth Monthly Weather Review 146 (11), 3801-3825, 2018 | 46 | 2018 |
What the collapse of the ensemble Kalman filter tells us about particle filters M Morzfeld, D Hodyss, C Snyder Tellus A: Dynamic Meteorology and Oceanography 69 (1), 1283809, 2017 | 42 | 2017 |
Impact of resolution and design on the US Navy global ensemble performance in the tropics CA Reynolds, JG McLay, JS Goerss, EA Serra, D Hodyss, CR Sampson Monthly Weather Review 139 (7), 2145-2155, 2011 | 39 | 2011 |
Efficient ensemble covariance localization in variational data assimilation CH Bishop, D Hodyss, P Steinle, H Sims, AM Clayton, AC Lorenc, ... Monthly weather review 139 (2), 573-580, 2011 | 36 | 2011 |
Accounting for skewness in ensemble data assimilation D Hodyss Monthly weather review 140 (7), 2346-2358, 2012 | 34 | 2012 |
Errors in ensemble Kalman smoother estimates of cloud microphysical parameters DJ Posselt, D Hodyss, CH Bishop Monthly Weather Review 142 (4), 1631-1654, 2014 | 33 | 2014 |
The contamination of ‘data impact’in global models by rapidly growing mesoscale instabilities D Hodyss, SJ Majumdar Quarterly Journal of the Royal Meteorological Society: A journal of the …, 2007 | 33 | 2007 |
Ensemble state estimation for nonlinear systems using polynomial expansions in the innovation D Hodyss Monthly Weather Review 139 (11), 3571-3588, 2011 | 30 | 2011 |
The Rossby-inertia-buoyancy instability in baroclinic vortices D Hodyss, DS Nolan Physics of Fluids 20 (9), 2008 | 27 | 2008 |
Characteristics of target areas selected by the ensemble transform Kalman filter for medium-range forecasts of high-impact winter weather SJ Majumdar, KJ Sellwood, D Hodyss, Z Toth, Y Song Monthly weather review 138 (7), 2803-2824, 2010 | 24 | 2010 |
Undercatch adjustments for tipping-bucket gauge measurements of solid precipitation J Kochendorfer, ME Earle, D Hodyss, A Reverdin, YA Roulet, R Nitu, ... Journal of Hydrometeorology 21 (6), 1193-1205, 2020 | 23 | 2020 |
Gaussian approximations in filters and smoothers for data assimilation M Morzfeld, D Hodyss Tellus A: Dynamic Meteorology and Oceanography 71 (1), 1600344, 2019 | 23 | 2019 |