Polarimetric radar rain estimation through retrieval of drop size distribution using a bayesian approach

Journal of Applied Meteorology and Climatology

Volumn 49, Issue 5, 2010, Pages 973-990

  Cao, Qing ^a   Zhang, Guifu ^a   Brandes, Edward A ^b   Schuur, Terry J ^a  

^a UNIVERSITY OF OKLAHOMA   (United States)

^b NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

Author keywords

Bayesian methods; In situ observations; Precipitation; Radars Radar observations; Rainfall

Indexed keywords

BACKSCATTERING AMPLITUDE; BAYESIAN ALGORITHMS; BAYESIAN APPROACHES; BAYESIAN METHODS; BAYESIAN RETRIEVAL; BIVARIATE NORMAL; DIFFERENTIAL REFLECTIVITY; DROP SHAPE; DROP SIZE DISTRIBUTION; FORWARD MODELS; GAMMA MODELS; HORIZONTAL POLARIZATION; IN-SITU MEASUREMENT; IN-SITU OBSERVATIONS; MESOSCALE CONVECTIVE SYSTEM; MOMENTS OF THE DISTRIBUTION; OKLAHOMA; POLARIMETRIC RADARS; PRIOR PROBABILITY; RADAR REFLECTIVITIES; RAIN ESTIMATION; RAIN GAUGES; RAINDROP SIZE DISTRIBUTION; RAINFALL RATES; S-BAND RADAR; STANDARD DEVIATION; T-MATRIX; VIDEO DISDROMETER;

ALGORITHMS; BAYESIAN NETWORKS; DROPS; GAGES; METEOROLOGICAL INSTRUMENTS; PROBABILITY DENSITY FUNCTION; RADAR; REFLECTION; SIZE DISTRIBUTION; STORMS; VIDEODISKS;

RAIN;

ALGORITHM; BAYESIAN ANALYSIS; NUMERICAL MODEL; PRECIPITATION (CLIMATOLOGY); PROBABILITY DENSITY FUNCTION; RADAR IMAGERY; RAINDROP; RAINFALL; SIZE DISTRIBUTION;

OKLAHOMA [UNITED STATES]; UNITED STATES;

EID: 77955582923     PISSN: 15588424     EISSN: None     Source Type: Journal    
DOI: 10.1175/2009JAMC2227.1     Document Type: Article

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