For how long should what data be assimilated for the mesoscale forecasting of convection and why? Part II: On the observation signal from different sensors

Monthly Weather Review

Volumn 138, Issue 1, 2010, Pages 256-264

  Fabry, Frédéric ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CONVECTIVE STORMS; DATA ASSIMILATION; DATA ASSIMILATION SYSTEMS; IMAGERS; INITIAL CONDITIONS; MESOSCALE; MODEL VARIABLES; NONLINEAR BEHAVIOR; PRECIPITATION PROPERTIES; PULL OUT; REMOTE SENSING SYSTEM; THERMAL IR;

COMPUTER SIMULATION; DATA PROCESSING; INSTRUMENT ERRORS; MEASUREMENT ERRORS; REMOTE SENSING;

SIGNAL DETECTION;

CLIMATE MODELING; CLOUD COVER; COMPUTER SIMULATION; CONVECTION; CONVECTIVE SYSTEM; DATA ASSIMILATION; DETECTION METHOD; ERROR ANALYSIS; INFRARED IMAGERY; MESOSCALE METEOROLOGY; NONLINEARITY; NUMERICAL MODEL; OBSERVATIONAL METHOD; PERFORMANCE ASSESSMENT; PRECIPITATION ASSESSMENT; WEATHER FORECASTING;

GREAT PLAINS;

EID: 77953207987     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2009MWR2884.1     Document Type: Article

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