Assimilating all-sky infrared radiances from GOES-16 ABI using an ensemble Kalman filter for convection-allowing severe thunderstorms prediction

Monthly Weather Review

Volumn 146, Issue 10, 2018, Pages 3363-3381

  Zhang, Yunji ^a   Zhang, Fuqing ^a   Stensrud, David J ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Data assimilation; Ensembles; Satellite observations; Severe storms

Indexed keywords

THUNDERSTORMS;

DATA ASSIMILATION; ENSEMBLE BASED DATA ASSIMILATION; ENSEMBLES; INFRARED BRIGHTNESS TEMPERATURE; SATELLITE OBSERVATIONS; SEVERE STORMS; SPACEBORNE OBSERVATIONS; WEATHER RESEARCH AND FORECASTING MODELS;

WEATHER FORECASTING;

ATMOSPHERIC CONVECTION; DATA ASSIMILATION; ENSEMBLE FORECASTING; KALMAN FILTER; OBSERVATIONAL METHOD; PREDICTION; SATELLITE DATA; SEVERE WEATHER; STORM; THUNDERSTORM;

NEBRASKA; UNITED STATES; WYOMING;

EID: 85060528243     PISSN: 00270644     EISSN: 15200493     Source Type: Journal    
DOI: 10.1175/MWR-D-18-0062.1     Document Type: Article

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