Craig Bishop

Using Machine Learning to Cut the Cost of Dynamical Downscaling

Sanaa Hobeichi, Nidhi Nishant, Yawen Shao, Gab Abramowitz, Andy Pitman, Steve Sherwood, Craig Bishop, Samuel Green

Journal article  |  2023  |  Earth's Future

Implicit ensemble tangent linear models (IETLMs) for model differentiation

Craig H Bishop, Nathan W Eizenberg

Journal article  |  2022  |  QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

Ideally, tangent linear models (TLMs) predict the difference between perturbed and unperturbed non-linear forecasts of interest. T..

Implementing Hybrid Background Error Covariance into the LETKF with Attenuation-Based Localization: Experiments with a Simplified AGCM

S Kotsuki, CH Bishop

Journal article  |  2022  |  Monthly Weather Review

Recent numerical weather prediction systems have significantly improved medium-range forecasts by implementing hybrid background e..

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..

Empirical determination of the covariance of forecast errors: an empirical justification and reformulation of Hybrid covariance models

Diego Saul Carrio Carrio, Craig Bishop, Shunji Kotsuki

Journal article  |  2021

<p>The replacement of climatological background error covariance models with Hybrid error covariance models that linearly co..

Insights about the hybrid error covariance models

Francesco Sardelli, Craig Bishop

Journal article  |  2021

<p>Hybrid error covariance models construct the covariance matrix to be used in variational data assimilation methods throug..

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..