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Using blending observations from storm-scale to large-scale, the study present an approach for initializing tropical cyclone conditions in numerical weather prediction models WRFARW developed by NCEP using the local ensemble transformed Kalman filter (LETKF) assimilation method. The storm-scale observation was created by using 3-dimension tropical cyclone model with real-time cyclone analysis parameters from NCEP (tropical cyclone vital reports) and the large-scale observation was created based on cloud motion wind of the Cooperative Institute for Meteorological Satellite Studies (University of Wisconsin). Some first experiments were carried out with severe tropical cyclone Usagi in the north Western Pacific (2013) and the results showed that this method can help increasing both track and intensity tropical cyclone forecast.

tạp chí khoa học đại học quốc gia hà nội: nghiên cứu giáo dục  (vnu journal of science: education research)/tạp chí khoa học đại học quốc gia hà nội: các khoa học trái đất và môi trường (vnu journal of science: earth and environmental sciences)

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