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Craig H Bishop
Craig H Bishop
School of Earth Sciences, The University of Melbourne
Verified email at unimelb.edu.au
Title
Cited by
Cited by
Year
Adaptive sampling with the ensemble transform Kalman filter. Part I: Theoretical aspects
CH Bishop, BJ Etherton, SJ Majumdar
Monthly weather review 129 (3), 420-436, 2001
18442001
Ensemble square root filters
MK Tippett, JL Anderson, CH Bishop, TM Hamill, JS Whitaker
Monthly weather review 131 (7), 1485-1490, 2003
11032003
A comparison of breeding and ensemble transform Kalman filter ensemble forecast schemes
X Wang, CH Bishop
Journal of the atmospheric sciences 60 (9), 1140-1158, 2003
5132003
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
5002010
Cloud-resolving hurricane initialization and prediction through assimilation of Doppler radar observations with an ensemble Kalman filter
F Zhang, Y Weng, JA Sippel, Z Meng, CH Bishop
Monthly Weather Review 137 (7), 2105-2125, 2009
4212009
Ensemble transformation and adaptive observations
CH Bishop, Z Toth
Journal of the atmospheric sciences 56 (11), 1748-1765, 1999
3691999
Which is better, an ensemble of positive–negative pairs or a centered spherical simplex ensemble?
X Wang, CH Bishop, SJ Julier
Monthly Weather Review 132 (7), 1590-1605, 2004
2822004
The North Pacific Experiment (NORPEX-98): targeted observations for improved North American weather forecasts
RH Langland, Z Toth, R Gelaro, I Szunyogh, MA Shapiro, SJ Majumdar, ...
Bulletin of the American Meteorological Society 80 (7), 1363-1384, 1999
2541999
Climate model dependence and the replicate Earth paradigm
CH Bishop, G Abramowitz
Climate dynamics 41, 885-900, 2013
1992013
The effect of targeted dropsonde observations during the 1999 Winter Storm Reconnaissance Program
I Szunyogh, Z Toth, RE Morss, SJ Majumdar, BJ Etherton, CH Bishop
Monthly Weather Review 128 (10), 3520-3537, 2000
1862000
Adaptive sampling with the ensemble transform Kalman filter. Part II: Field program implementation
SJ Majumdar, CH Bishop, BJ Etherton, Z Toth
Monthly Weather Review 130 (5), 1356-1369, 2002
1832002
A comparison of hybrid ensemble transform Kalman filter–optimum interpolation and ensemble square root filter analysis schemes
X Wang, TM Hamill, JS Whitaker, CH Bishop
Monthly weather review 135 (3), 1055-1076, 2007
1732007
Improvement of ensemble reliability with a new dressing kernel
X Wang, CH Bishop
Quarterly Journal of the Royal Meteorological Society: A journal of the …, 2005
1472005
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
1452009
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
1372009
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
1362007
Comparison of hybrid ensemble/4DVar and 4DVar within the NAVDAS-AR data assimilation framework
DD Kuhl, TE Rosmond, CH Bishop, J McLay, NL Baker
Monthly Weather Review 141 (8), 2740-2758, 2013
1322013
Ensemble transform Kalman filter-based ensemble perturbations in an operational global prediction system at NCEP
M Wei, Z Toth, R Wobus, Y Zhu, CH Bishop, X Wang
Tellus A: Dynamic Meteorology and Oceanography 58 (1), 28-44, 2006
1312006
Resilience of hybrid ensemble/3DVAR analysis schemes to model error and ensemble covariance error
BJ Etherton, CH Bishop
Monthly weather review 132 (5), 1065-1080, 2004
1302004
Potential vorticity and the electrostatics analogy: Quasi‐geostrophic theory
CH Bishop, AJ Thorpe
Quarterly Journal of the Royal Meteorological Society 120 (517), 713-731, 1994
1301994
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