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Engineering and Technology

D-Index
46
Citations
10333
World Ranking
5074
National Ranking
267

Overview

Craig H. Bishop is affiliated with the University of Melbourne in Australia. Their research primarily focuses on Earth and Planetary Sciences alongside Environmental Science, with a significant emphasis on the subfields of Global and Planetary Change and Atmospheric Science. Additional work touches on Oceanography, Electrical and Electronic Engineering, and Earth-Surface Processes.

The scientist has contributed to the study of climate variability and models as well as meteorological phenomena and simulations. Other topics covered in their research include atmospheric and environmental gas dynamics, cryospheric studies and observations, oceanographic and atmospheric processes, tropical and extratropical cyclones research, and arctic and antarctic ice dynamics.

Bishop's recent scientific publications encompass:

  • The Navy's Earth System Prediction Capability: A New Global Coupled Atmosphere-Ocean-Sea Ice Prediction System Designed for Daily to Subseasonal Forecasting (2020) in Earth and Space Science
  • A Multiscale Local Gain Form Ensemble Transform Kalman Filter (MLGETKF) (2020) in Monthly Weather Review
  • Using Machine Learning to Cut the Cost of Dynamical Downscaling (2023) in Earth s Future
  • Using Analysis Corrections to Address Model Error in Atmospheric Forecasts (2020) in Monthly Weather Review
  • Comparison of a novel machine learning approach with dynamical downscaling for Australian precipitation (2023) in Environmental Research Letters

Frequent coauthors collaborating with Bishop include Yawen Shao, Neil P Barton, Carolyn A. Reynolds, Sergey Frolov, and Sanaa Hobeichi. These collaborations have contributed to advancing knowledge in their shared areas of expertise.

The scientist regularly publishes in several key scientific journals, including:

  • Monthly Weather Review (4 publications)
  • Quarterly Journal of the Royal Meteorological Society (2 publications)
  • Journal of Advances in Modeling Earth Systems (2 publications)
  • Earth and Space Science (1 publication)
  • Earth s Future (1 publication)

Best Publications

  • Adaptive sampling with the ensemble transform Kalman filter. Part I: Theoretical aspects

    Craig H. Bishop;Brian J. Etherton;Sharanya J. Majumdar

  • Ensemble Square Root Filters

    Michael K. Tippett;Jeffrey L. Anderson;Craig H. Bishop;Thomas M. Hamill

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

    Xuguang Wang;Craig H. Bishop

  • The THORPEX Interactive Grand Global Ensemble

    Philippe Bougeault;Zoltan Toth;Craig Bishop;Barbara Brown

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

    Fuqing Zhang;Yonghui Weng;Jason A. Sippel;Zhiyong Meng

  • Ensemble Transformation and Adaptive Observations

    Craig H. Bishop;Zoltan Toth

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

    Xuguang Wang;Craig H. Bishop;Simon J. Julier

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

    Rolf H. Langland;Z. Toth;R. Gelaro;I. Szunyogh

  • Climate model dependence and the replicate Earth paradigm

    Craig H. Bishop;Gab Abramowitz

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

    I. Szunyogh;Z. Toth;R. E. Morss;S. J. Majumdar

  • Adaptive Sampling with the Ensemble Transform Kalman Filter. Part II: Field Program Implementation

    S. J. Majumdar;C. H. Bishop;B. J. Etherton;Z. Toth

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

    David D. Kuhl;Thomas E. Rosmond;Craig H. Bishop;Justin McLay

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

    Xuguang Wang;Thomas M. Hamill;Jeffrey S. Whitaker;Craig H. Bishop

  • Eady Edge Waves and Rapid Development

    H. C. Davies;C. H. Bishop

  • Improvement of ensemble reliability with a new dressing kernel

    Xuguang Wang;Craig H. Bishop

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

    Craig H. Bishop;Daniel Hodyss

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

    Craig H. Bishop;Daniel Hodyss

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

    Mozheng Wei;Zoltan Toth;Richard Wobus;Yuejian Zhu

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

    Brian J. Etherton;Craig H. Bishop

  • Potential vorticity and the electrostatics analogy: Quasi‐geostrophic theory

    Craig H. Bishop;Alan J. Thorpe

Frequent Co-Authors

Alan J. Thorpe
Alan J. Thorpe University of Reading
Roberto Buizza
Roberto Buizza Sant'Anna School of Advanced Studies
Karl W. Hoppel
Karl W. Hoppel United States Naval Research Laboratory
Michael K. Tippett
Michael K. Tippett Columbia University
Brian J. Hoskins
Brian J. Hoskins University of Reading
John Methven
John Methven University of Reading
Eugenia Kalnay
Eugenia Kalnay University of Maryland, College Park
James D. Doyle
James D. Doyle United States Naval Research Laboratory
Sim D. Aberson
Sim D. Aberson National Oceanic and Atmospheric Administration
Fuqing Zhang
Fuqing Zhang Pennsylvania State University

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