ADM‐Aeolus Doppler wind lidar Observing System Simulation Experiment
By Ad Stoffelen, G. Marseille, F. Bouttier, D. Vasiljevic, S. Haan, C. Cardinali. 2006
133 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/0e0a839b2e122cff1f69e03fe35ce90d4824f363
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
- Xingxiu Deng
- H. Mitchell
- P. Houtekamer
- Jeffrey L. Anderson
- Thomas M. Hamill
- C. Snyder
- Geir Evensen
- Lars Isaksen
In Global and Planetary Change
- Xingxiu Deng
- H. Mitchell
- P. Houtekamer
- Jeffrey L. Anderson
- Thomas M. Hamill
- C. Snyder
- Geir Evensen
- Lars Isaksen
Citations in the corpus
- Model Error Representation in an Operational Ensemble Kalman Filter (2009, methodology): “In an EnKF, much as in an Observation System Simulation Experiment (e.g., Stoffelen et al. 2006), it is necessary to realistically simulate all possible weaknesses in the treatment of observations to obtain optimal results.”
- The impact of Aeolus wind retrievals on ECMWF global weather forecasts (2021, background): “Many studies have investigated the potential benefits of more wind profile observations for NWP, such as: Stoffelen et al., 2006; 2020a; Tan et al., 2007; Weissmann and Cardinali, 2007; Marseille et al., 2008; Baker et al., 2014; Horányi et al., 2015a; Illingworth et al., 2018.”