Craig H. Bishop

发表

ADAPTIVE OBSERVATIONS AT NCEP: PAST, PRESENT, AND FUTURE

Jon Talbot, Zoltan Toth, Istvan Szunyogh, 2002 .

What's better, an ensemble of positive/negative pairs or a centered simplex ensemble?

Simon J. Julier, Xiaoyang Sean Wang, Craig H. Bishop, 2003 .

Ensemble-based targeted observations during FASTEX [presentation]

Istvan Szunyogh, Craig H. Bishop, Elisabeth Morss, 1998 .

Commentary: On the Efficiency of Covariance Localisation of the Ensemble Kalman Filter Using Augmented Ensembles

Craig H. Bishop, Lili Lei, Jeffrey S. Whitaker, 2020, Frontiers in Applied Mathematics and Statistics.

The THORPEX Interactive Grand Global Ensemble

Craig H. Bishop, Barbara G. Brown, Laurence J. Wilson, 2010 .

Targeting strategies to improve hurricane track forecasts

Craig H. Bishop, Sharanya J. Majumdar, Sim D. Aberson, 2004 .

The Differences between Ensemble and Variational Methods and Implications for their Fusion

Matthias Morzfeld, Craig H. Bishop, Daniel Hodyss, 2015 .

J6.4 ENSEMBLE AUGMENTATION WITH A NEW DRESSING KERNEL

Craig H. Bishop, Xuguang Wang, 2003 .

A comparison of ensemble‐transform Kalman‐filter targeting guidance with ECMWF and NRL total‐energy singular‐vector guidance

Craig H. Bishop, Roberto Buizza, Ronald Gelaro, 2002 .

Workshop on the Initialization of High-Resolution Earth System Models

Craig H. Bishop, Steve Penny, Santha Akella, 2018 .

Interpretation of Adaptive Observing Guidance for Atlantic Tropical Cyclones

Craig H. Bishop, Roberto Buizza, Sharanya J. Majumdar, 2007 .

Vertical Covariance Localization for Satellite Radiances in Ensemble Kalman Filters

Craig H. Bishop, William F. Campbell, Daniel Hodyss, 2010 .

Interpretation of tropical cyclone targeting guidance

Craig H. Bishop, Roberto Buizza, Sharanya J. Majumdar, 2006 .

Adaptive sampling with the ensemble transform Kalman filter

Craig H. Bishop, Sharanya J. Majumdar, Brian J. Etherton, 2001 .

Using Analysis Corrections to Address Model Error in Atmospheric Forecasts

Craig H. Bishop, Neil P Barton, Carolyn A. Reynolds, 2020 .

An analysis of the impact of observational data on ETKF-based ensemble perturbations

Xuguang Wang, Craig H. Bishop, Yuejian Zhu, 2004 .

Verification region selection and data assimilation for adaptive sampling

Craig H. Bishop, Brian J. Etherton, Sharanya J. Majumdar, 2006 .

The High-rank Ensemble Transform Kalman Filter

Bo Huang, Craig H. Bishop, Xuguang Wang, 2019 .

A composite state method for ensemble data assimilation with multiple limited-area models

Istvan Szunyogh, Craig H. Bishop, Edward Ott, 2015 .

Ensemble Transformation and Adaptive Observations

Craig H. Bishop, Zoltan Toth, C. Bishop, 1999 .

Environmental Acoustic Variability Characterization for Adaptive Sampling

Craig H. Bishop, Clark Rowley, James Cummings, 2008 .

Development of a Mesoscale Ensemble Data Assimilation System at the Naval Research Laboratory

Craig H. Bishop, Fuqing Zhang, Qin Xu, 2013 .

Facilitating Strongly Coupled Ocean-Atmosphere Data Assimilation with an Interface Solver

James Cummings, Craig H. Bishop, Sergey Frolov, 2016 .

A Comparison of Breeding and Ensemble Transform Kalman Filter Ensemble Forecast Schemes

Xuguang Wang, Craig H. Bishop, C. Bishop, 2003 .

Adaptive sampling with the ensemble transform Kalman filter

Craig H. Bishop, Brian J. Etherton, Sharanya J. Majumdar, 2001 .

A Multiscale Local Gain Form Ensemble Transform Kalman Filter (MLGETKF)

Craig H. Bishop, Xuguang Wang, Jeffrey S. Whitaker, 2021 .

Empirical determination of the covariance of forecast errors: An empirical justification and reformulation of hybrid covariance models

Craig H. Bishop, Shunji Kotsuki, Diego S. Carrió, 2021, Quarterly Journal of the Royal Meteorological Society.

The benefits of correlated observation errors for small scales

Craig H. Bishop, Sabrina Rainwater, C. Bishop, 2015 .

The Local Ensemble Tangent Linear Model: an enabler for coupled model 4D‐Var

Craig H. Bishop, Sergey Frolov, Douglas R. Allen, 2017 .

Optimization of the Fixed Global Observing Network in a Simple Model

Craig H. Bishop, Michael K. Tippett, Carolyn A. Reynolds, 2003 .

A comparison of the hybrid and EnSRF analysis schemes in the presence of model errors due to unresolved scales

Craig H. Bishop, Thomas M. Hamill, Xuguang Wang, 2009 .

A Nonvariational Consistent Hybrid Ensemble Filter

Craig H. Bishop, Xuguang Wang, C. Bishop, 2015 .

Evaluation of the Ensemble Transform Analysis Perturbation Scheme at NRL

Craig H. Bishop, Carolyn A. Reynolds, Justin McLay, 2008 .

Localized Ensemble-Based Tangent Linear Models and Their Use in Propagating Hybrid Error Covariance Models

Craig H. Bishop, Sergey Frolov, 2016 .

Ensemble covariances adaptively localized with ECO‐RAP. Part 2: a strategy for the atmosphere

Craig H. Bishop, Daniel Hodyss, C. Bishop, 2009 .

To what extent is your data assimilation scheme designed to find the posterior mean, the posterior mode or something else?

Matthias Morzfeld, Craig H. Bishop, Daniel Hodyss, 2016 .

Adaptive Ensemble Covariance Localization in Ensemble 4D-VAR State Estimation

Craig H. Bishop, Daniel Hodyss, C. Bishop, 2011 .

A Local Formulation of the Ensemble Transform (ET) Analysis Perturbation Scheme

Craig H. Bishop, Carolyn A. Reynolds, Justin McLay, 2010 .

The use of targeted observations in operational numerical weather forecasting [presentation]

Istvan Szunyogh, Craig H. Bishop, Stephen J. Lord, 2001 .

Errors in Ensemble Kalman Smoother Estimates of Cloud Microphysical Parameters

Derek J. Posselt, Craig H. Bishop, Daniel Hodyss, 2014 .

Flow‐adaptive moderation of spurious ensemble correlations and its use in ensemble‐based data assimilation

Craig H. Bishop, Daniel Hodyss, C. Bishop, 2007 .

Ensemble covariances adaptively localized with ECO-RAP. Part 1: tests on simple error models

Craig H. Bishop, Daniel Hodyss, C. Bishop, 2009 .

Gain Form of the Ensemble Transform Kalman Filter and Its Relevance to Satellite Data Assimilation with Model Space Ensemble Covariance Localization

Craig H. Bishop, Lili Lei, Jeffrey S. Whitaker, 2017 .

Nonlinear Parameter Estimation: Comparison of an Ensemble Kalman Smoother with a Markov Chain Monte Carlo Algorithm

Derek J. Posselt, Craig H. Bishop, C. Bishop, 2012 .

A Comparison of Hybrid Ensemble Transform Kalman Filter- OI and Ensemble Square-Root Filter Analysis Schemes

Craig H. Bishop, Thomas M. Hamill, Xuguang Wang, 2006 .

Comparison of Hybrid Ensemble/4DVar and 4DVar within the NAVDAS-AR Data Assimilation Framework

Craig H. Bishop, Justin McLay, Thomas E. Rosmond, 2013 .

Urban and ocean ensembles for improved meteorological and dispersion modelling of the coastal zone

Craig H. Bishop, Julie Pullen, Teddy Holt, 2009 .

A Comparison of Adaptive Observing Guidance for Atlantic Tropical Cyclones

Craig H. Bishop, Roberto Buizza, Sharanya J. Majumdar, 2006 .

Investigating the Use of Ensemble Variance to Predict Observation Error of Representation

Craig H. Bishop, Elizabeth A. Satterfield, Daniel Hodyss, 2017 .

Efficient Ensemble Covariance Localization in Variational Data Assimilation

Mark Buehner, Craig H. Bishop, Dale Barker, 2011 .

The GIGG‐EnKF: ensemble Kalman filtering for highly skewed non‐negative uncertainty distributions

Craig H. Bishop, C. Bishop, 2016 .

A Statistical Investigation of the Sensitivity of Ensemble-Based Kalman Filters to Covariance Filtering

Istvan Szunyogh, Craig H. Bishop, Marc G. Genton, 2011 .

Ocean Ensemble Forecasting and Adaptive Sampling

Craig H. Bishop, Xiaodong Hong, C. Bishop, 2013 .

The Effect of Targeted Dropsonde Observations during the 1999 Winter Storm Reconnaissance Program

Istvan Szunyogh, Craig H. Bishop, Rebecca E. Morss, 2000 .

The North Pacific Experiment (NORPEX-98): Targeted Observations for Improved North American Weather Forecasts

Istvan Szunyogh, Craig H. Bishop, Rebecca E. Morss, 1999 .

The Value of Hurricane Forecasts to Oil and Gas Producers in the Gulf of Mexico

Craig H. Bishop, Christopher Jablonowski, Timothy J. Considine, 2004 .

Can an ensemble transform Kalman filter predict the reduction in forecast-error variance produced by targeted observations?

Istvan Szunyogh, Craig H. Bishop, Brian J. Etherton, 2001 .

A Comparison of Hybrid Ensemble Transform Kalman Filter–Optimum Interpolation and Ensemble Square Root Filter Analysis Schemes

Craig H. Bishop, Thomas M. Hamill, Xuguang Wang, 2007 .

Hidden Error Variance Theory. Part II: An Instrument That Reveals Hidden Error Variance Distributions from Ensemble Forecasts and Observations

Craig H. Bishop, Elizabeth A. Satterfield, Kevin T. Shanley, 2013 .

Ensemble‐based targeting experiments during FASTEX: The effect of dropsonde data from the lear jet

Chris Snyder, Istvan Szunyogh, Craig H. Bishop, 1999 .

Hidden Error Variance Theory. Part I: Exposition and Analytic Model

Craig H. Bishop, Elizabeth A. Satterfield, 2013 .

Development and testing of a coupled ocean–atmosphere mesoscale ensemble prediction system

Craig H. Bishop, James D. Doyle, Sue Chen, 2011 .

Using Forecast Temporal Variability to Evaluate Model Behavior

Craig H. Bishop, Elizabeth A. Satterfield, Carolyn A. Reynolds, 2015 .