Channel selection methods for Infrared Atmospheric Sounding Interferometer radiances

By Florence Rabier, N. Fourrié, Djalil CHAFAÏ, P. Prunet. 2002

186 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/8293f063cca0ac9ab0a68ddc48d603344192465b

How researchers see this paper

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

In Aerospace Engineering

1. R. Gelaro
2. Andrew Collard
3. Yanqiu Zhu

In Atmospheric Science

1. Jun Li
2. Timothy J. Schmit
3. Peng Zhang
4. W. Paul Menzel
5. R. Gelaro
6. Andrew Collard
7. Yanqiu Zhu
8. Dacian N. Daescu

In Global and Planetary Change

1. Timothy J. Schmit
2. Peng Zhang
3. Jun Li
4. W. Paul Menzel
5. R. Gelaro
6. Andrew Collard
7. Yanqiu Zhu
8. Dacian N. Daescu

Citations in the corpus

• Estimating interchannel observation‐error correlations for IASI radiance data in the Met Office system † (2014, unknown): “The background-error covariances in 4D-Var were generated using a NMC method as described in Rawlins et al. (2007). In Desroziers et al.”
• Observation Sensitivity Calculations Using the Adjoint of the Gridpoint Statistical Interpolation (GSI) Analysis System (2008, methodology): “…somewhat related, methods for estimating observation sensitivity include the second-order adjoint approach proposed by Le Dimet et al. (1995), the data resolution matrix (Menke 1984), the entropy reduction method (Rabier et al. 2002), and the influence matrix diagnostic (Cardinali et al. 2004).”
• On the interaction of observation and prior error correlations in data assimilation (2018, unknown): “Mutual information measures the reduction in entropy (uncertainty) due to assimilation of the observations and has also previously been used in the objective selection of IASI channels (Rabier et al., 2002; Fowler, 2017).”
• Selection of IASI channels for use in numerical weather prediction (2007, methodology): “An alternative is the entropy reduction ( 0 5ln AB 1 ) but past experience (e.g., Rabier et al., 2002) has shown that the differences between choosing DFS or entropy reduction are small.”
• Satellite-Based Atmospheric Infrared Sounder Development and Applications (2017, background): “…more independent pieces of information and channel selection out of the thousands available, which becomes important in order to reduce the computation load while maintaining the information content (Li and Huang 1994; Rodgers 2000, Rabier et al. 2002; Collard 2007; Ventress and Dudhia 2014).”