23 citations as recorded by crossref.

1. Adjoint Estimation of the Variation in Model Functional Output due to the Assimilation of Data D. Daescu & R. Todling https://doi.org/10.1175/2008MWR2659.1
2. Adjoint sensitivity of the forecast to TOVS observations N. Fourri'e et al. https://doi.org/10.1256/qj.01.167
3. Adjoint-Derived Observation Impact Using WRF in the Western North Pacific B. Jung et al. https://doi.org/10.1175/MWR-D-12-00197.1
4. A posteriori diagnostics of the impact of observations on the AROME‐France convective‐scale data assimilation system P. Brousseau et al. https://doi.org/10.1002/qj.2179
5. Verification region selection and data assimilation for adaptive sampling C. Bishop et al. https://doi.org/10.1256/qj.05.48
6. A study on the optimization of the deployment of targeted observations using adjoint‐based methods T. Bergot & A. Doerenbecher https://doi.org/10.1002/qj.200212858315
7. Potential improvement to forecasts of two severe storms using targeted observations M. Leutbecher et al. https://doi.org/10.1002/qj.200212858313
8. Issues in targeted observing R. Langland https://doi.org/10.1256/qj.05.130
9. Overview of global data assimilation developments in numerical weather‐prediction centres F. Rabier https://doi.org/10.1256/qj.05.129
10. A Reduced Rank Estimate of Forecast Error Variance Changes due to Intermittent Modifications of the Observing Network M. Leutbecher https://doi.org/10.1175/1520-0469(2003)060<0729:ARREOF>2.0.CO;2
11. Forecast sensitivity to observations in the Met Office Global numerical weather prediction system A. Lorenc & R. Marriott https://doi.org/10.1002/qj.2122
12. Adjoint sensitivity of the model forecast to data assimilation system error covariance parameters D. Daescu & R. Todling https://doi.org/10.1002/qj.693
13. On the Sensitivity Equations of Four-Dimensional Variational (4D-Var) Data Assimilation D. Daescu https://doi.org/10.1175/2007MWR2382.1
14. Adaptive observations in ensemble data assimilation B. Uzunoglu https://doi.org/10.1016/j.cma.2007.04.004
15. On the Deterministic Observation Impact Guidance: A Geometrical Perspective D. Daescu https://doi.org/10.1175/2009MWR2954.1
16. MEDEX: a general overview A. Jansa et al. https://doi.org/10.5194/nhess-14-1965-2014
17. Effect of random perturbations on adaptive observation techniques M. Hossen et al. https://doi.org/10.1002/fld.2545
18. Cloud characteristics and channel selection for IASI radiances in meteorologically sensitive areas N. Fourri'e & F. Rabier https://doi.org/10.1256/qj.03.27
19. Criteria of optimality for sensors' location based on adjoint transformation of observation data interpolation error A. Alekseev & I. Navon https://doi.org/10.1002/fld.2015
20. Subjective versus objective sensitivity estimates: application to a North African cyclogenesis V. Homar & D. Stensrud https://doi.org/10.1111/j.1600-0870.2008.00353.x
21. The potential of high‐density observations for numerical weather prediction: A study with simulated observations Z. Liu & F. Rabier https://doi.org/10.1256/qj.02.170
22. Observation Sensitivity Calculations Using the Adjoint of the Gridpoint Statistical Interpolation (GSI) Analysis System Y. Zhu & R. Gelaro https://doi.org/10.1175/MWR3525.1
23. Forecast Skill of Targeted Observations: A Singular-Vector-Based Diagnostic C. Cardinali & R. Buizza https://doi.org/10.1175/1520-0469(2003)060<1927:FSOTOA>2.0.CO;2