Observing‐system experiments in the ECMWF 4D‐Var data assimilation system

By F. Bouttier, Graeme Kelly. 2001

216 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/59651876b1069625457337399ef1ad0bafd69841

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Alan J. Geer
2. Ionel M. Navon
3. Peter Bauer
4. Niels Bormann
5. Dacian N. Daescu
6. Florence Rabier
7. A. Simmons
8. A. Hollingsworth

In Global and Planetary Change

1. Alan J. Geer
2. Ionel M. Navon
3. Peter Bauer
4. Niels Bormann
5. Florence Rabier
6. A. Simmons
7. A. Hollingsworth
8. N. Baker

Citations in the corpus

• Some aspects of the improvement in skill of numerical weather prediction (2002, methodology): “The pre-operational trial results from ECMWF (see appendix) and observing-system experiments (English et al. 2000; Bouttier and Kelly 2001; McNally, personal communication) provide evidence that the reduction of analysis differences is due largely to improvements in data assimilation methods and to…”
• The Spatial Structure of Observation Errors in Atmospheric Motion Vectors from Geostationary Satellite Data (2003, background): “This has been shown in theoretical studies (e.g., Liu and Rabier 2002) and by practical experience with positive forecast impact from the assimilation of AMVs with such suboptimal settings (e.g., Bouttier and Kelly 2001; Rohn et al. 2001).”
• Estimation of observation impact using the NRL atmospheric variational data assimilation adjoint system (2004, methodology): “The information about observation impact provided by this adjoint-based method can be considered complementary to that provided by conventional data-denial sensitivity experiments (Bouttier and Kelly 2001) and Observation System Simulation Experiments (OSSEs).”
• Channel selection methods for Infrared Atmospheric Sounding Interferometer radiances (2002, background): “INTRODUCTIONNumerical Weather Prediction (NWP) systems have been using satellite data inthe assimilation for some time, with positive impact demonstrated on their forecast per-formance (eg Bouttier and Kelly, 2001).”
• Direct 4D‐Var assimilation of all‐sky radiances. Part II: Assessment (2010, background): “However, as noted by Bouttier and Kelly (2001), adding observations in data-poor areas can perturb the analyses relative to the forecasts.”
• Data Assimilation for Numerical Weather Prediction: A Review (2009, background): “Hollingsworth et al. (2005) shows how observing system improvements led to improvements of forecast scores while Bouttier and Kelly (2001) show that the improvement of forecast scores for the southern hemisphere are due to satellite data.”