Craig Bishop

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

N Barton, EJ Metzger, CA Reynolds, B Ruston, C Rowley, OM Smedstad, JA Ridout, A Wallcraft, S Frolov, P Hogan, MA Janiga, JF Shriver, J McLay, P Thoppil, A Huang, W Crawford, T Whitcomb, CH Bishop, L Zamudio, M Phelps

Journal article  |  2021  |  Earth and Space Science

This paper describes the new global Navy Earth System Prediction Capability (Navy-ESPC) coupled atmosphere-ocean-sea ice predictio..

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

James A Ridout, Neil P Barton, Matthew A Janiga, Carolyn A Reynolds, Jackie C May, Clark Rowley, Craig H Bishop

Journal article  |  2021  |  JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS

A simple parameter nudging procedure is described that systematically reduces near-analysis time errors in the surface net shortwa..

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

Diego S Carrio, Craig H Bishop, Shunji Kotsuki

Journal article  |  2021  |  Quarterly Journal of the Royal Meteorological Society

During the last decade, the replacement of static climatological forecast error covariance models with hybrid error covariance mod..

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

Xuguang Wang, Hristo G Chipilski, Craig H Bishop, Elizabeth Satterfield, Nancy Baker, Jeffrey S Whitaker

Journal article  |  2021  |  MONTHLY WEATHER REVIEW

A new multiscale, ensemble-based data assimilation (DA) method, multiscale local gain form ensemble transform Kalman filter(MLGETK..

Using Analysis Corrections to Address Model Error in Atmospheric Forecasts

William Crawford, Sergey Frolov, Justin McLay, Carolyn A Reynolds, Neil Barton, Benjamin Ruston, Craig H Bishop

Journal article  |  2020  |  Monthly Weather Review

This paper illustrates that analysis corrections, when applied as a model tendency term, can be used to improve nonlinear model fo..

Challenges of Increased Resolution for the Local Ensemble Tangent Linear Model

Douglas R Allen, Sergey Frolov, Rolf Langland, Craig H Bishop, Karl W Hoppel, David D Kuhl, Max Yaremchuk

Journal article  |  2020  |  Monthly Weather Review

An ensemble-based linearized forecast model has been developed for data assimilation applications for numerical weather prediction..

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

Craig H Bishop, Jeffrey S Whitaker, Lili Lei

Journal article  |  2020  |  FRONTIERS IN APPLIED MATHEMATICS AND STATISTICS

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

Sergey Frolov, William Campbell, Benjamin Ruston, Craig H Bishop, David Kuhl, Maria Flatau, Justin McLay

Journal article  |  2020  |  MONTHLY WEATHER REVIEW

Coupled data assimilation (DA) provides a consistent framework for assimilating satellite observations that are sensitive to sever..

The High-Rank Ensemble Transform Kalman Filter

Bo Huang, Xuguang Wang, Craig H Bishop

Journal article  |  2019  |  MONTHLY WEATHER REVIEW

The ensemble Kalman filter is typically implemented either by applying the localization on the background error covariance matrix ..

Data assimilation strategies for state-dependent observation error variances

Craig H Bishop

Journal article  |  2019  |  Quarterly Journal of the Royal Meteorological Society

The Ensemble Kalman Filter (EnKF) and 4D‐Var Data Assimilation (DA) approaches require that a fixed observation error variance be ..