I.
Observation processing
1. Non-IFS observation
processing (OBSPROC): General overview
2. Observations: Types, variables and error statistics
3. CMA creation (MAKEMA)
4. The FEEDBACK task
5. The TOOLS task
6. Central memory array (CMA)
structure/format
7. BUFR feedback data structure/format
8. SIMULATED observations data structure/format
9. NAMELISTS
10. Processing of scatterometer data
References
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file
II.
Data assimilation
1. Incremental
formulation of 3D/4D variational assimilation - an overview
2. 3D variational assimilation
3. 4D variational assimilation
4. Background term
5. Conventional observational constraints
6. Satellite observational constraints
7. Background, analysis and forecast errors
8. Gravity-wave control
9. Data partitioning (OBSORT)
10. Observation screening
11. Analysis of snow
12. Land surface analysis
13. Sea surface temperature and sea-ice analysis
14. Reduced-rank Kalman filter
References
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file
III.
Dynamics and numerical procedures
1. Introduction
2. Basic equations and discretization
3. Semi-Lagrangian formulation
4. Computational details
References
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file
IV.
Physical processes
1. Overview
2. Radiation
3. Turbulent diffusion and interactions with the surface
4. Subgrid-scale orographic drag
5. Convection
6. Clouds and large-scale precipitation
7. Land surface parametrization
8. Methane oxidation
9. Climatological data
References
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file
V.
The Ensemble Prediction System
1. Theory
2. Computational details
References
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file
VI.
Technical and computational procedures
1. Technical
overview
2. FULL-POS post-processing and interpolation
3. Parallel implementation
References
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file
VII.
ECMWF wave model
1. Introduction
2. The kinematic part of the energy balance equation
3. Parametrization of source terms and the energy balance in a growing
wind sea
4. An optimal interpolation scheme for assimilating altimeter data
into the WAM model
5. Numerical scheme
6. The WAM-model software
7. Wind-wave interaction at ECMWF
References
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file