CANARI est the acronym of :
– Code d’Analyse Nécessaire àArpege 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).