N. Ingleby

Atmospheric Science · 2000–2013

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Atmospheric Science — 10 citations into it; #498 of 4,804 by trust here, #899 by citations
• Global and Planetary Change — 10 citations into it; #1,049 of 10,225 by trust here, #2,355 by citations

Whom N. Ingleby trusts overall

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

1. A. Lorenc
2. F. Rawlins
3. Adam Clayton

Who trusts N. Ingleby overall

1. R. Bannister
2. A. Lorenc
3. Margarida Pereira
4. Adam Clayton
5. Wan Wu
6. L. Berre
7. D. Barker
8. Tilmann Gneiting
9. King Ngi Ngan
10. Eugenia Kalnay

Papers from N. Ingleby's perspective

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

1. The Met Office global four‐dimensional variational data assimilation scheme
2. The assimilation of cloud‐affected infrared satellite radiances for numerical weather prediction
3. Operational implementation of a hybrid ensemble/4D‐Var global data assimilation system at the Met Office
4. Beyond Gaussian Statistical Modeling in Geophysical Data Assimilation
5. The Met. Office global three‐dimensional variational data assimilation scheme
6. Aura Microwave Limb Sounder upper tropospheric and lower stratospheric H2O and relative humidity with respect to ice validation
7. PC2: A prognostic cloud fraction and condensation scheme. I: Scheme description
8. Assimilation and Modeling of the Atmospheric Hydrological Cycle in the ECMWF Forecasting System
9. Modelling of error covariances by 4D‐Var data assimilation
10. Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter

Their papers

• Improved variational analyses using a nonlinear humidity control variable (2013) — 50 citations
• The statistical structure of forecast errors and its representation in The Met. Office Global 3‐D Variational Data Assimilation Scheme (2001) — 149 citations
• The Met. Office global three‐dimensional variational data assimilation scheme (2000) — 505 citations