Assimilation of cloud-top temperature and radar observations of an idealized splitting supercell using an observing system simulation experiment

Monthly Weather Review

Volumn 143, Issue 4, 2015, Pages 1018-1034

  Kerr, Christopher A ^a   Stensrud, David J ^b   Wang, Xuguang ^a  

^a UNIVERSITY OF OKLAHOMA   (United States)

^b NATIONAL SEVERE STORMS LABORATORY   (United States)

Author keywords

Data assimilation; Ensembles; Error analysis; Kalman filters; Remote sensing; Short range prediction

Indexed keywords

ADDITIVE NOISE; DOPPLER RADAR; ERROR ANALYSIS; FORECASTING; GEOSTATIONARY SATELLITES; KALMAN FILTERS; RADAR; REMOTE SENSING; SATELLITES; SPACE-BASED RADAR; STORMS;

DATA ASSIMILATION; DOPPLER RADAR OBSERVATION; ENSEMBLE KALMAN FILTER; ENSEMBLES; GEOSTATIONARY OPERATIONAL ENVIRONMENTAL SATELLITE R; OBSERVING SYSTEM SIMULATION EXPERIMENTS; SHORT-RANGE PREDICTIONS; WEATHER RESEARCH AND FORECASTING MODELS;

WEATHER FORECASTING;

AIR TEMPERATURE; ATMOSPHERIC MODELING; DATA ASSIMILATION; DOPPLER RADAR; ENSEMBLE FORECASTING; ERROR ANALYSIS; GOES; KALMAN FILTER; PREDICTION; REMOTE SENSING; SUPERCELL;

EID: 84945899609     PISSN: 00270644     EISSN: 15200493     Source Type: Journal    
DOI: 10.1175/MWR-D-14-00146.1     Document Type: Article

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