A. Lorenc
Atmospheric Science · 2003–2013
A researcher in the Science corpus: 6 papers; trusts 23 researchers and is trusted by 96 researchers here, as inferred from the citation graph.
Subfields
- Atmospheric Science — 49 citations into it; #17 of 4,804 by trust here, #415 by citations
- Global and Planetary Change — 47 citations into it; #32 of 10,225 by trust here, #1,347 by citations
- Environmental Engineering — 10 citations into it; #730 of 5,479 by trust here, #3,356 by citations
- Oceanography — 10 citations into it
Whom A. Lorenc trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jeffrey L. Anderson
- Thomas M. Hamill
- P. Houtekamer
- Dinh Tuan Pham
- H. Mitchell
- Geir Evensen
- J. Whitaker
- Pierre Gauthier
- A. Simmons
- N. Ingleby
Who trusts A. Lorenc overall
- Xuguang Wang
- M. Buehner
- Chengsi Liu
- R. Bannister
- Stephen G. Penny
- Mozheng Wei
- C. Bishop
- Marc Bocquet
- Xiangjun Tian
- Thomas M. Hamill
Papers from A. Lorenc's perspective
Ordered by how strongly the researchers A. Lorenc 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
- The Ensemble Kalman Filter: theoretical formulation and practical implementation
- Stochastic Methods for Sequential Data Assimilation in Strongly Nonlinear Systems
- Ensemble Data Assimilation without Perturbed Observations
- Ensemble‐derived stationary and flow‐dependent background‐error covariances: Evaluation in a quasi‐operational NWP setting
- Ensemble size, balance, and model-error representation in an ensemble Kalman filter
- A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation
- A Hybrid Ensemble Kalman Filter-3D Variational Analysis Scheme
- Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
Their papers
- Operational implementation of a hybrid ensemble/4D‐Var global data assimilation system at the Met Office (2013) — 380 citations
- Improved variational analyses using a nonlinear humidity control variable (2013) — 50 citations
- Collaboration of the Weather and Climate Communities to Advance Subseasonal-to-Seasonal Prediction (2010) — 201 citations
- The Met Office global four‐dimensional variational data assimilation scheme (2007) — 529 citations
- Modelling of error covariances by 4D‐Var data assimilation (2003) — 161 citations
- The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var (2003) — 777 citations