Importance of horizontally inhomogeneous environmental initial conditions to ensemble storm-scale radar data assimilation and very short-range forecasts

Monthly Weather Review

Volumn 138, Issue 4, 2010, Pages 1250-1272

  Stensrud, David J ^a   Gao, Jidong ^b  

^a NATIONAL SEVERE STORMS LABORATORY   (United States)

^b UNIVERSITY OF OKLAHOMA   (United States)

Author keywords

Data assimilation; Ensembles; Radar observations; Short range prediction; Variational analysis

Indexed keywords

ADVANCED REGIONAL PREDICTION SYSTEM MODELS; BACKGROUND FIELD; DATA ASSIMILATION; DOPPLER RADAR OBSERVATION; ENSEMBLE DATA ASSIMILATION; ENSEMBLE FORECASTS; ENSEMBLE MEMBERS; ENSEMBLE PREDICTION; ENVIRONMENTAL PROFILE; ENVIRONMENTAL VARIABILITY; INITIAL CONDITIONS; MESOSCALE; MICROPHYSICS; NUMERICAL EXPERIMENTS; NUMERICAL WEATHER PREDICTION MODELS; PARAMETERIZED; RADAR DATA; RADAR DATA ASSIMILATION; RADAR OBSERVATIONS; RADIAL VELOCITY; TECHNOLOGICAL CHALLENGES; TORNADIC THUNDERSTORMS; VARIATIONAL ANALYSIS; VARIATIONAL DATA ASSIMILATION SYSTEM;

BOUNDARY LAYERS; DOPPLER EFFECT; DOPPLER RADAR; EXPERIMENTS; MATHEMATICAL MODELS; RADAR; THREE DIMENSIONAL; THUNDERSTORMS; WEATHER FORECASTING;

DATA PROCESSING;

DATA ASSIMILATION; DATA QUALITY; DOPPLER RADAR; ENSEMBLE FORECASTING; NUMERICAL MODEL; STORM TRACK; THREE-DIMENSIONAL MODELING; THUNDERSTORM; TORNADO; VARIANCE ANALYSIS; WEATHER FORECASTING;

EID: 77955530820     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2009MWR3027.1     Document Type: Article

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