Adaptation of a particle filtering method for data assimilation in a 1D numerical model used for fog forecasting

Quarterly Journal of the Royal Meteorological Society

Volumn 138, Issue 663, 2012, Pages 536-551

  Remy S ^a   Pannekoucke, O ^a   Bergot, T ^a   Baehr, C ^a,b  

^a CENTRE NATIONAL DE RECHERCHES MÉTÉOROLOGIQUES   (France)

^b INSTITUT DE MATHÉMATIQUES DE TOULOUSE   (France)

Author keywords

Airports; Low visibility conditions; Planetary boundary layer

Indexed keywords

BEST LINEAR UNBIASED ESTIMATOR; CONTROL VARIABLE; DATA ASSIMILATION; DETERMINISTIC FORECASTS; ENSEMBLE KALMAN FILTER; FOG EVENTS; FOG FORECASTING; FORECAST SYSTEMS; GENETIC SELECTION; INITIAL CONDITIONS; LIQUID WATER CONTENT; LOW VISIBILITY; PARTICLE FILTER; PARTICLE FILTERING; PLANETARY BOUNDARY LAYERS; SPECIFIC HUMIDITY; STRONGLY NONLINEAR; THRESHOLD PROBLEM; TIME DIMENSION; TIME WINDOWS;

AIRPORTS; FOG; NONLINEAR FILTERING; NUMERICAL MODELS;

FORECASTING;

ALGORITHM; BOUNDARY LAYER; CLOUD; DATA ASSIMILATION; ENSEMBLE FORECASTING; ERROR ANALYSIS; ESTIMATION METHOD; FOG; KALMAN FILTER; NUMERICAL MODEL; ONE-DIMENSIONAL MODELING; PERFORMANCE ASSESSMENT; RELATIVE HUMIDITY; TEMPERATURE PROFILE; WATER CONTENT;

EID: 84858280035     PISSN: 00359009     EISSN: 1477870X     Source Type: Journal    
DOI: 10.1002/qj.915     Document Type: Article

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