C. Bishop
Global and Planetary Change · 2003–2016
A researcher in the Science corpus: 11 papers; trusts 68 researchers and is trusted by 57 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 92 citations into it; #138 of 10,225 by trust here, #1,427 by citations
- Atmospheric Science — 90 citations into it; #61 of 4,804 by trust here, #443 by citations
- Environmental Engineering — 19 citations into it; #1,090 of 5,479 by trust here, #2,998 by citations
- Oceanography — 10 citations into it
- Artificial Intelligence — 8 citations into it
- Civil and Structural Engineering — 5 citations into it
Whom C. Bishop trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thomas M. Hamill
- J. Whitaker
- P. Houtekamer
- M. Buehner
- Xuguang Wang
- Jeffrey L. Anderson
- C. Snyder
- A. Lorenc
- Francisco J. Doblas-Reyes
- H. Mitchell
Who trusts C. Bishop overall
- Xuguang Wang
- D. Wilks
- B. Sanderson
- Mozheng Wei
- R. Bannister
- Gab Abramowitz
- J. Poterjoy
- Reto Knutti
- Ned Haughton
- Geir Evensen
Papers from C. Bishop's perspective
Ordered by how strongly the researchers C. Bishop trusts endorse each paper. Same corpus, a different order for every researcher.
- An Ensemble Adjustment Kalman Filter for Data Assimilation
- The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var
- A Hybrid Ensemble Kalman Filter-3D Variational Analysis Scheme
- Ensemble Data Assimilation without Perturbed Observations
- A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation
- Ensemble‐derived stationary and flow‐dependent background‐error covariances: Evaluation in a quasi‐operational NWP setting
- Ensemble Kalman filtering
- Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
- The Ensemble Kalman Filter: theoretical formulation and practical implementation
- Interpretation of Rank Histograms for Verifying Ensemble Forecasts
Their papers
- The GIGG‐EnKF: ensemble Kalman filtering for highly skewed non‐negative uncertainty distributions (2016) — 51 citations
- The benefits of correlated observation errors for small scales (2015) — 48 citations
- Climate Model Dependence and the Ensemble Dependence Transformation of CMIP Projections (2015) — 74 citations
- Climate model dependence and the replicate Earth paradigm (2013) — 197 citations
- Adaptive Ensemble Covariance Localization in Ensemble 4D-VAR State Estimation (2011) — 65 citations
- The THORPEX Interactive Grand Global Ensemble (2010) — 449 citations
- Ensemble Transform Kalman Filter-based ensemble perturbations in an operational global prediction system at NCEP (2006) — 108 citations
- Improvement of ensemble reliability with a new dressing kernel (2005) — 113 citations
- Which Is Better, an Ensemble of Positive–Negative Pairs or a Centered Spherical Simplex Ensemble? (2004) — 238 citations
- A Comparison of Breeding and Ensemble Transform Kalman Filter Ensemble Forecast Schemes (2003) — 431 citations
- Ensemble Square Root Filters (2003) — 236 citations