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Daniel Hodyss
Daniel Hodyss
Bestätigte E-Mail-Adresse bei nrl.navy.mil
Titel
Zitiert von
Zitiert von
Jahr
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
1412009
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
1332007
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
1312009
Vertical covariance localization for satellite radiances in ensemble Kalman filters
WF Campbell, CH Bishop, D Hodyss
Monthly Weather Review 138 (1), 282-290, 2010
1172010
Adaptive ensemble covariance localization in ensemble 4D-VAR state estimation
CH Bishop, D Hodyss
Monthly Weather Review 139 (4), 1241-1255, 2011
782011
The error of representation: Basic understanding
D Hodyss, N Nichols
Tellus A: Dynamic Meteorology and Oceanography 67 (1), 24822, 2015
552015
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
522018
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
482019
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
462018
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
422017
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
392011
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
392011
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
362011
Accounting for skewness in ensemble data assimilation
D Hodyss
Monthly weather review 140 (7), 2346-2358, 2012
342012
Errors in ensemble Kalman smoother estimates of cloud microphysical parameters
DJ Posselt, D Hodyss, CH Bishop
Monthly Weather Review 142 (4), 1631-1654, 2014
332014
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
332007
Ensemble state estimation for nonlinear systems using polynomial expansions in the innovation
D Hodyss
Monthly Weather Review 139 (11), 3571-3588, 2011
302011
The Rossby-inertia-buoyancy instability in baroclinic vortices
D Hodyss, DS Nolan
Physics of Fluids 20 (9), 2008
272008
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
242010
Gaussian approximations in filters and smoothers for data assimilation
M Morzfeld, D Hodyss
Tellus A: Dynamic Meteorology and Oceanography 71 (1), 1600344, 2019
232019
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