C. Bishop

发表

Ensemble Square Root Filters

J. Whitaker, T. Hamill, M. Tippett, 2003, Statistical Methods for Climate Scientists.

Which Is Better, an Ensemble of Positive–Negative Pairs or a Centered Spherical Simplex Ensemble?

S. Julier, C. Bishop, Xuguang Wang, 2004 .

Resilience of Hybrid Ensemble/3DVAR Analysis Schemes to Model Error and Ensemble Covariance Error

C. Bishop, B. Etherton, 2004 .

Climate model dependence and the replicate Earth paradigm

C. Bishop, G. Abramowitz, 2013, Climate Dynamics.

Improvement of ensemble reliability with a new dressing kernel

C. Bishop, Xuguang Wang, 2005 .

Climate Model Dependence and the Ensemble Dependence Transformation of CMIP Projections

C. Bishop, G. Abramowitz, 2015 .

Bayesian Model Averaging’s Problematic Treatment of Extreme Weather and a Paradigm Shift That Fixes It

C. Bishop, K. Shanley, 2008 .

Cloud-Resolving Hurricane Initialization and Prediction through Assimilation of Doppler Radar Observations with an Ensemble Kalman Filter

C. Bishop, Y. Weng, Fuqing Zhang, 2009 .

Ensemble Transform Kalman Filter-based ensemble perturbations in an operational global prediction system at NCEP

C. Bishop, Yuejian Zhu, Z. Tóth, 2006 .

Evaluation of the Ensemble Transform Analysis Perturbation Scheme at NRL

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

Improving Assimilation of Radiance Observations by Implementing Model Space Localization in an Ensemble Kalman Filter

J. Whitaker, C. Bishop, L. Lei, 2018, Journal of Advances in Modeling Earth Systems.

Nonlinear data assimilation for clouds and precipitation using a gamma inverse‐gamma ensemble filter

C. Bishop, D. Posselt, 2018, Quarterly Journal of the Royal Meteorological Society.

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 .

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

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

Efficient Ensemble Covariance Localization in Variational Data Assimilation

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

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

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

ADVANCED MATHEMATICAL METHODS TO STUDY ATMOSPHERIC DYNAMICAL PROCESSES AND PREDICTABILITY

C. Bishop, 2011 .

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

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

Errors in Ensemble Kalman Smoother Estimates of Cloud Microphysical Parameters

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

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 .

First Application of the Local Ensemble Tangent Linear Model (LETLM) to a Realistic Model of the Global Atmosphere

C. Bishop, K. Hoppel, R. Langland, 2018, Monthly Weather Review.

Hybrid 4DVAR with a Local Ensemble Tangent Linear Model: Application to the Shallow-Water Model

C. Bishop, K. Hoppel, G. Nedoluha, 2017 .

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

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

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

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

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

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

Assimilation of Low-Peaking Satellite Observations Using the Coupled Interface Framework

C. Bishop, M. Flatau, J. McLay, 2020 .

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

S. Julier, C. Bishop, X. Wang, 2003 .

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

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

Data assimilation strategies for state‐dependent observation error variances

C. Bishop, 2019, Quarterly Journal of the Royal Meteorological Society.

Environmental Acoustic Variability Characterization for Adaptive Sampling

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

Ensemble clustering in deterministic ensemble

C. Bishop, E. Kalnay, K. Ide, 2018 .

Ensemble clustering in deterministic ensemble Kalman filters

C. Bishop, E. Kalnay, K. Ide, 2012 .

On the behaviour of baroclinic waves undergoing horizontal deformation. I: The ‘RT’ phase diagram

C. Bishop, 1993 .

Eady Edge Waves and Rapid Development

C. Bishop, H. Davies, 1994 .

Nonmodal Development of Baroclinic Waves Undergoing Horizontal Shear Deformation

C. Bishop, A. Barcilon, 1998 .

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

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

Multi-Scale Predictability of High-Impact Weather in the Battlespace Environment

C. Bishop, J. Doyle, C. Reynolds, 2006, 2007 DoD High Performance Computing Modernization Program Users Group Conference.

Using pest monitoring data to inform the location and intensity of invasive-species control in New Zealand

C. Bishop, R. Didham, J. Innes, 2015 .

Heteroscedastic Ensemble Postprocessing

Elizabeth A. Satterfield, C. Bishop, 2014 .

Results from the Winter Storm Reconnaissance program 2002-2003

C. Bishop, Z. Tóth, S. Majumdar, 2004 .

Observations in Aid of Weather Prediction for North America: Report of Prospectus Development Team Seven

K. Emanuel, C. Bishop, E. Kalnay, 1997 .

The counter‐propagating Rossby‐wave perspective on baroclinic instability. Part IV: Nonlinear life cycles

C. Bishop, B. Hoskins, J. Methven, 2005 .

Observation-Informed Generalized Hybrid Error Covariance Models

Elizabeth A. Satterfield, C. Bishop, D. Hodyss, 2018, Monthly Weather Review.

Implicit ensemble tangent linear models (IETLMs) for model differentiation

C. Bishop, Nathan Eizenberg, 2022, Quarterly Journal of the Royal Meteorological Society.

The counter‐propagating Rossby‐wave perspective on baroclinic instability. Part III: Primitive‐equation disturbances on the sphere

C. Bishop, B. Hoskins, J. Methven, 2005 .

Does the Surface Pressure Equal the Weight per Unit Area of a Hydrostatic Atmosphere

C. Bishop, J. Kerr, P. R. Bannon, 1997 .

The THORPEX Interactive Grand Global Ensemble

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

Adaptive sampling with the ensemble transform Kalman filter

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

A Comparison of Adaptive Observing Guidance for Atlantic Tropical Cyclones

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

Counter‐propagating rossby waves in the barotropic rayleigh model of shear instability

C. Bishop, P. Alpert, E. Heifetz, 1999 .

Ensemble Transformation and Adaptive Observations

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

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 .

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

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

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

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

The counter‐propagating Rossby‐wave perspective on baroclinic instability. II: Application to the Charney model

C. Bishop, B. Hoskins, J. Methven, 2004 .

The role of the environmental flow in the development of secondary frontal cyclones

C. Bishop, A. Thorpe, I. Renfrew, 1997 .

Domain-Independent Attribution. Part II: Its Value in the Verification of Dynamical Theories of Frontal Waves and Frontogenesis

C. Bishop, 1996 .

Domain-Independent Attribution. Part I: Reconstructing the Wind from Estimates of Vorticity and Divergence Using Free Space Green's Functions

C. Bishop, 1996 .

Apparent Absolute Instability and the Continuous Spectrum

C. Bishop, E. Heifetz, 2000 .

Regional Ensemble Forecasts Using the Ensemble Transform Technique

C. Bishop, J. Doyle, Sue Chen, 2009 .

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

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

Frontal Wave Stability during Moist Deformation Frontogenesis. Part II: The Suppression of Nonlinear Wave Development

C. Bishop, A. Thorpe, 1994 .

Frontal Wave Stability during Moist Deformation Frontogenesis. Part I: Linear Wave Dynamics

C. Bishop, A. Thorpe, 1994 .

Uncertainty in atmospheric temperature analyses

C. Bishop, R. Langland, R. Maue, 2008 .

The Navy's Earth System Prediction Capability: A New Global Coupled Atmosphere‐Ocean‐Sea Ice Prediction System Designed for Daily to Subseasonal Forecasting

C. Bishop, N. Barton, A. Wallcraft, 2020, Earth and Space Science.

The counter‐propagating Rossby‐wave perspective on baroclinic instability. I: Mathematical basis

C. Bishop, B. Hoskins, J. Methven, 2004 .

Impacts of Sea Surface Temperature Uncertainty on the Western North Pacific Subtropical High (WNPSH) and Rainfall

C. Bishop, T. Holt, X. Hong, 2011 .

The benefits of correlated observation errors for small scales

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

Numerical Simulations of an Observed Narrow Cold-Frontal Rainband

C. Bishop, W. Tao, G. Lai, 1997 .

Regionally Enhanced Global (REG) 4D-Var

C. Bishop, Qingyun Zhao, K. Hoppel, 2018, Monthly Weather Review.

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

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

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

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

Verification region selection and data assimilation for adaptive sampling

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

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 .

ADAPTIVE OBSERVATIONS AT NCEP: PAST, PRESENT, AND FUTURE

Jon Talbot, Zoltan Toth, Istvan Szunyogh, 2002 .

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

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

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 .

The ensemble‐transform scheme adapted for the generation of stochastic forecast perturbations

C. Bishop, C. Reynolds, J. McLay, 2007 .

Challenges of Increased Resolution for the Local Ensemble Tangent Linear Model

C. Bishop, K. Hoppel, R. Langland, 2020, Monthly Weather Review.

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

Craig H. Bishop, C. Bishop, 2016 .

A Nonvariational Consistent Hybrid Ensemble Filter

Craig H. Bishop, Xuguang Wang, 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 .

The Local Ensemble Tangent Linear Model: an enabler for coupled model 4DVAR: Local Ensemble Tangent Linear Model

C. Bishop, D. Allen, S. Frolov, 2017 .

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 .

Vertical Covariance Localization for Satellite Radiances in Ensemble Kalman Filters

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

Optimization of the Fixed Global Observing Network in a Simple Model

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

A Comparison of ETKF Targeting Guidance with ECMWF and NRL TE-SVs Targeting Guidance

C. Bishop, R. Gelaro, R. Buizza, 2002 .

Using Analysis Corrections to Address Model Error in Atmospheric Forecasts

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

Recent Developments in Predictability and Dynamical Processes ( PDP ) Research : A Report by the THORPEX PDP Working Group

C. Bishop, O. Talagrand, J. Barkmeijer, 2008 .

POTENTIAL VORTICITY AND THE ELECTROSTATICS ANALOGY - ERTEL-ROSSBY FORMULATION

C. Bishop, A. Thorpe, 1995 .

Potential vorticity and the electrostatics analogy: Quasi‐geostrophic theory

C. Bishop, A. Thorpe, 1994 .

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

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

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.

Surface Radiative Flux Bias Reduction Through Regionally Varying Cloud Fraction Parameter Nudging in a Global Coupled Forecast System

C. Bishop, N. Barton, C. Reynolds, 2020, Journal of Advances in Modeling Earth Systems.

On the behaviour of baroclinic waves undergoing horizontal deformation. II: Error-bound amplification and Rossby wave diagnostics

C. Bishop, 1993 .

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

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

Comparison of a novel machine learning approach with dynamical downscaling for Australian precipitation

A. Pitman, C. Bishop, S. Sherwood, 2023, Environmental Research Letters.

Ocean Ensemble Forecasting and Adaptive Sampling

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

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

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

American Meteorological Society Monthly Weather Review Early Online Release a Comparison of the Hybrid and Ensrf Analysis Schemes in the Presence of Model Errors Due to Unresolved Scales

J. Whitaker, T. Hamill, C. Bishop, 2022 .