Optimal interpolation : CANARI (2002)
Article published on December 2002
last modification on 10 November 2005
CANARI est the acronym of :
- Code d’Analyse Nécessaire à Arpege pour ses Rejets et son Initialisation
- Code for the Analysis Necessary for Arpege for its Rejects and its Initiamization
CANARI is a software which performs an optimum interpolation analysis for any variable of the meteorological forecast model ARPEGE/ALADIN.
It runs operationally in Meteo-France to initialize the surface variables of the model only since the upperair variables are updated by the 4D-var analysis.
A technival documentation is available to allow you to use and to understand CANARI :
- General presentation
- What does CANARI perform ?
- Some non-technical reminders
- CANARI organization
- The observations
- Data description
- Data organization
- Database filling
- Input and output files
- The first guess file
- The observations database
- The climatology files
- The ISBA files
- The SST file
- The errors statistics files
- The incremental mode files
- The analysis file
- Distributed memory features
- The observations distribution
- The departures calculation
- The spatial quality control
- Model variables analysis
- The proper analysis
- Code description
- Initialization and level 0 control
- CANARI initialization and level 1 control
- CANARI management main subroutine
- First guess check and model errors statistics initialization
- Observations processing
- Departures calculation
- Spatial quality control
- Quality flags
- Description of the flags in the ODB
- Update of the quality flags
- Meteorological variables analysis organization
- General organization
- Local organization : the subroutine CAPOTX
- The heart of the numerical OI
- The geographical selection
- The statistical selection
- The linear system
- Bibliography
- Annex 1: Example of a script to run CANARI.
- Annex 2 : Description of the CANARI statistical model (internal paper written by Vincent Casse in 2000).