C. Keppenne

Atmospheric Science · 2005

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Atmospheric Science — 5 citations into it; #2,935 of 4,804 by trust here, #4,137 by citations
• Global and Planetary Change — 5 citations into it; #6,018 of 10,225 by trust here, #8,787 by citations

Whom C. Keppenne trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. J. P.
2. van Leeuwen
3. Ricardo Todling
4. P. V. Leeuwen
5. Geir Evensen

Who trusts C. Keppenne overall

1. G. De Lannoy
2. Hong Li
3. J. Whitaker
4. Paul R. Houser
5. Valentijn R. N. Pauwels
6. Eugenia Kalnay
7. Thomas M. Hamill
8. Rolf H. Reichle

Papers from C. Keppenne's perspective

Ordered by how strongly the researchers C. Keppenne trusts endorse each paper. Same corpus, a different order for every researcher.

1. A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation
2. The Ensemble Kalman Filter: theoretical formulation and practical implementation
3. A variance-minimizing filter for large-scale applications
4. Data Assimilation in the Presence of Forecast Bias: The GEOS Moisture Analysis
5. An Ensemble Smoother with Error Estimates
6. An Ensemble Adjustment Kalman Filter for Data Assimilation
7. Stochastic Methods for Sequential Data Assimilation in Strongly Nonlinear Systems
8. The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var
9. Ensemble Data Assimilation without Perturbed Observations
10. Sequential Monte Carlo Methods in Practice

Their papers

• Ensemble Kalman filter assimilation of temperature and altimeter data with bias correction and application to seasonal prediction (2005) — 73 citations