William Bell
Atmospheric Science · 2014
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Atmospheric Science — 9 citations into it; #3,372 of 4,804 by trust here, #4,137 by citations
- Global and Planetary Change — 9 citations into it; #6,930 of 10,225 by trust here, #8,787 by citations
Whom William Bell trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts William Bell overall
Papers from William Bell's perspective
Ordered by how strongly the researchers William Bell trusts endorse each paper. Same corpus, a different order for every researcher.
- Diagnosis of observation, background and analysis‐error statistics in observation space
- The Met. Office global three‐dimensional variational data assimilation scheme
- The Met Office global four‐dimensional variational data assimilation scheme
- Diagnosis and adaptive tuning of observation‐error parameters in a variational assimilation
- The assimilation of cloud‐affected infrared satellite radiances for numerical weather prediction
- Estimating interchannel observation‐error correlations for IASI radiance data in the Met Office system †
- A review of forecast error covariance statistics in atmospheric variational data assimilation. II: Modelling the forecast error covariance statistics
- Estimates of spatial and interchannel observation‐error characteristics for current sounder radiances for numerical weather prediction. I: Methods and application to ATOVS data
- The statistical structure of forecast errors and its representation in The Met. Office Global 3‐D Variational Data Assimilation Scheme
- The Ensemble Kalman Filter: theoretical formulation and practical implementation
Their papers
- Accounting for correlated error in the assimilation of high‐resolution sounder data (2014) — 149 citations