Potential impacts of assimilating all-sky infrared satellite radiances from GOES-R on convection-permitting analysis and prediction of tropical cyclones

Geophysical Research Letters

Volumn 43, Issue 6, 2016, Pages 2954-2963

  Zhang, Fuqing ^a   Minamide, Masashi ^a   Clothiaux, Eugene E ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

ensemble Kalman filter; GOES R; tropical cyclone prediction

Indexed keywords

FORECASTING; HURRICANES; KALMAN FILTERS; LUMINANCE; SATELLITES; TROPICS;

ENSEMBLE KALMAN FILTER; GOES-R; INFRARED BRIGHTNESS TEMPERATURE; OBSERVING SYSTEM SIMULATION EXPERIMENTS; PREDICTION OF TROPICAL CYCLONE; TEMPORAL AND SPATIAL; THERMODYNAMIC VARIABLES; TROPICAL CYCLONE PREDICTIONS;

TEMPERATURE;

BRIGHTNESS TEMPERATURE; GOES; HURRICANE EVENT; KALMAN FILTER; NET RADIATION; SATELLITE DATA; THERMODYNAMICS; TROPICAL CYCLONE; WEATHER FORECASTING; WIND FIELD;

EID: 84977992958     PISSN: 00948276     EISSN: 19448007     Source Type: Journal    
DOI: 10.1002/2016GL068468     Document Type: Article

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